All Publications by Dr. Zhang

Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, and Jing Gao, Concept-Level Model Interpretation from the Causal Aspect, IEEE Transactions on Knowledge and Data Engineering (TKDE), 27 September 2022.

Jianhui Sun, Ying Yang, Guangxu Xun, and Aidong Zhang, Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD, ACM Transactions on Knowledge Discovery from Data (TKDD), 22 June, 2022.

Mengdi Huai, Chenglin Miao, Yaliang Li, Liuyi Yao, and Aidong Zhang, On the Robustness of Metric Learning: An Adversarial Perspective, ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 16, Issue 5, October 2022.

Kishlay Jha and Aidong Zhang, Continual Knowledge Infusion into Pre-trained Biomedical Language Models, Bioinformatics, Volume 38, Issue 2, 15 January 2022, Pages 494–502.

Hongfei Xue, Boen Cao, Yan Ju, Aidong Zhang, Lu Su, M4esh: mmWave-based 3D Human Mesh Construction for Multiple Subjects, 2022 Conference on Embedded Networked Sensor Systems (SenSys 2022), Boston, Nov 7 – 9, 2022.

Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li, CLEAR: Generative Counterfactual Explanations on Graphs, NeurIPS 2022 Conference, New Orleans, November 28 – December 9, 2022.

Guangtao Zheng and Aidong Zhang, Knowledge-Guided Semantics Adjustment for Improved Few-Shot Classification, the 2022 IEEE International Conference on Data Mining (ICDM’22, Orlando, Florida, China, November 28 – December 1, 2022.

Jiayi Chen and Aidong Zhang, FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks, Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington DC, USA, August 14-18, 2022.

Jianhui Sun, Mengdi Huai, Kishlay Jha, and Aidong Zhang, Demystify Hyperparameters for Stochastic Optimization with Transferable Representations, Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington DC, USA, August 14- 18, 2022.

Jiayi Chen and Aidong Zhang, Topological Transduction for Hybrid Few-shot Learning, The ACM Web Conference 2022 (Former name: WWW), Lyon, France, April 25 – 29, 2022.

Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang, Towards Automating Model Explanations with Certified Robustness Guarantee, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-2022), Vancouver Convention Centre, Canada, Feb 21-28, 2022.

Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li, Learning Fair Node Representations with Graph Counterfactual Fairness, The Fifteenth International Conference on Web Search and Data Mining, Phoenix, Arizona, February 21-25, 2022.

Erfaneh Gharavi, Aaron Gu, Guangtao Zheng, Jason paul Smith, Hyunjae Cho, Aidong Zhang, Donald E.Brown, and Nathan C. Sheffield, Embeddings of Genomic Region Sets Capture Rich Biological Associations in Lower Dimensions, Bioinformatics, btab439, June 22, 2021.

Erfaneh Gharavi, Aaron Gu, Guangtao Zheng, Jason paul Smith, Hyunjae Cho, Aidong Zhang, Donald E.Brown, and Nathan C. Sheffield, Embeddings of Genomic Region Sets Capture Rich Biological Associations in Lower Dimensions, Bioinformatics, btab439, June 22, 2021.

Jinduo Liu, Junzhong Ji, Guangxu Xun, and Aidong Zhang, Inferring Effective Connectivity Networks from fMRI Time Series with a Temporal Entropy-score, IEEE Transactions on Neural Networks and Learning Systems, April 22, 2021.

Kishlay Jha, Guangxu Xun, and Aidong Zhang, Continual Representation Learning For Evolving Biomedical Bipartite Networks, Bioinformatics, Volume 37, Issue 15, 1 August 2021, Pages 2190–2197.

Guangtao Zheng and Aidong Zhang, ”Few-Shot Class-Incremental Learning with Meta-Learned Class Structures,” 2021 International Conference on Data Mining Workshops (ICDMW), 2021, pp. 421-430, doi: 10.1109/ICDMW53433.2021.00058.

Jiayi Chen and Aidong Zhang, HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities, 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), November 1-5 2021.

Kishlay Jha, Guangxu Xun, Nan Du, and Aidong Zhang, Knowledge-Guided Efficient Representation Learning for Biomedical Domain, Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021), Singapore, August 14-18, 2021.

Jianhui Sun, Ying Yang, Guangxu Xun, and Aidong Zhang, A Stagewise Hyperparameter Scheduler to Improve Generalization, Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021), Singapore, August 14-18, 2021.

Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li, Multi-Cause Effect Estimation with Disentangled Confounder Representation, the 30th International Joint Conference on Artificial Intelligence (IJCAI21), Montreal-themed Virtual Reality, 21st -26th August, 2021.

Weida Zhong, Qiuling Suo, Xiaowei Jia, Aidong Zhang, and Lu Su, Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values, International Conference on Distributed Computing Systems, July 7-10, 2021.

Hongfei Xue, Yan Ju, Chenglin Miao, Yijiang Wang, Shiyang Wang, Aidong Zhang, Lu Su, mmMesh: Towards 3D Real-Time Dynamic Human Mesh Construction Using Millimeter-wave, the 19th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2021), 2021.

Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang and Jundong Li, Deconfounding with Networked Observational Data in a Dynamic Environment, 14th ACM Conference on Web Search and Data Mining (WSDM2021), March 8-12, 2021.

Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, and Aidong Zhang, A Survey on Causal Inference, ACM Transactions on Knowledge Discovery from Data, Vol. 15, Issue 5, June 2021, pp. 1-46.

Guangxu Xun, Kishlay Jha, and Aidong Zhang, MeSHProbeNet-P: Improving Large-scale MeSH Indexing with Personalizable MeSH Probes, ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 15, No. 1, December 2020.

Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, and Aidong Zhang, Learning Distance Metrics from Probabilistic Information, ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 14, No. 5, July 2020.

Yuan Zhang, Boyu Zhu, Yixin Fang, Suxin Guo, Aidong Zhang, Sheng Zhong, Secure Inter-domain Forwarding Loop Test in Software Defined Networks, IEEE Transactions on Dependable and Secure Computing, January-February, 2020, pp. 162-178.

Jingyuan Chou, Stefan Bekiranov, Chongzhi Zang, Mengdi Huai, and Aidong Zhang, Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets, IEEE International Conference on Bioinformatics and Biomedicine 2020 (IEEE BIBM 2020), December 16-19, 2020.

Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, and Aidong Zhang, Global Interpretation for Patient Similarity Learning, IEEE International Conference on Bioinformatics and Biomedicine 2020 (IEEE BIBM 2020), December 16-19, 2020).

Qiuling Suo, Weida Zhong, Guangxu Xun, Jianhui Sun, Changyou Chen, and Aidong Zhang, GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning, the 2020 IEEE International Conference on Big Data, December 10-13, 2020)

Hongfei Xue, Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shiyang Wang, Ye Yuan, Shuochao Yao, Aidong Zhang, Lu Su, DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition, UbiComp/ISWC 2020, September 12-16, 2020.

Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao and Aidong Zhang, Malicious Attacks against Deep Reinforcement Learning Interpretations, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020), San Diego, USA, August 23-27, 2020. (Best paper runner up award)

Guangxu Xun, Kishlay Jha, Jianhui Sun and Aidong Zhang, CorNet: Correlation Networks for Extreme Multi-label Text Classification, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020), San Diego, USA, August 23-27, 2020.

Qiuling Suo, Jingyuan Chou, Weida Zhong and Aidong Zhang, TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020), San Diego, USA, August 23-27, 2020.

Jiayi Chen and Aidong Zhang, HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with Incompleteness, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020), San Diego, USA, August 23-27, 2020.

Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang, Towards Interpretation of Pairwise Learning, the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York City, February 7-12, 2020.

Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang, Pairwise Learning with Differential Privacy Guarantees, the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York City, February 7-12, 2020.

Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang, EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks, the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York City, February 7-12, 2020.

Junzhong Ji, Jinduo Liu, Aixiao Zou, Aidong Zhang, ACOEC-FD: Ant Colony Optimization for learning Brain Effective Connectivity Networks from Functional MRI and Diffusion Tensor Imaging, Frontiers in Neuroscience, section Brain Imaging Methods, December 2019.

Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang, A hybrid self-attention deep learning framework for multivariate sleep stage classification, BMC Bioinformatics, December 2019.

Jinduo Liu, Junzhong Ji, Xiuqin Jia, and Aidong Zhang, Learning Brain Effective Connectivity Network Structure using Ant Colony Optimization Combining with Voxel Activation Information, IEEE Journal of Biomedical and Health Informatics, October 2019.

Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, and Aidong Zhang, Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 33, No. 2, ISSN: 1041-4347, DOI: 10.1109/TKDE.2019.2933516, pages: 782-795.

Tianle Ma and Aidong Zhang, Integrate Multi-omics Data with Biological Interaction Networks Using Multi-view Factorization AutoEncoder (MAE), BMC Genomics 20, Article number: 944 (2019), December 2019.

Guangxu Xun, Kishlay Jha, Ye Yuan, Yaqing Wang, and Aidong Zhang, MeSHProbeNet: A Self-attentive Probe Net for MeSH Indexing, Bioinformatics, Oxford University Press, March 2019.

Vishrawas Gopalakrishnan, Kishlay Jha, Wei Jin, and Aidong Zhang, A Survey on Literature Based Discovery Approaches in Biomedical Domain, Journal of Biomedical Informatics, Elsevier, March 2019.

Kishlay Jha, Guangxu Xun, Vishrawas Gopalakrishnan, and Aidong Zhang, DWE-Med: Dynamic Word Embeddings for Medical Domain, ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 13, Issue 2, March 2019.

Ye Yuan, Guangxu Xun, kebin Jia, and Aidong Zhang, A Multi-view Deep Learning Framework for EEG Seizure Detection, IEEE Journal of Biomedical and Health Informatics (BHI), Vol. 23, No. 1, January 2019, pp. 83--94.

Ye Yuan, Guangxu Xun, Qiuling Suo, kebin Jia, and Aidong Zhang, Wave2Vec: Deep Representation Learning for Clinical Temporal Data, special issue on Deep learning for Biological/Clinical Data, Neurocomputing, Vol. 324, January 2019, pp. 31-42.

Jinduo Liu, Junzhong Ji, Liuyi Yao, Aidong Zhang, Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks, the 2019 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2019), San Diego, November 18-21, 2019.

Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, and Aidong Zhang, ACE: Adaptively Similarity-preserved Representation Learning for Individual Treatment Effect Estimation, the 2019 IEEE International Conference on Data Mining (ICDM’19, Beijing, China, November 8-11, 2019.

Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, and Aidong Zhang, Metric Learning on Healthcare Data with Incomplete Modalities, the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August 10-16, 2019.

Mengdi Huai, hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, and Aidong Zhang, Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm, the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August 10-16, 2019.

Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, and Aidong Zhang, Privacy-aware Synthesizing for Crowdsourced Data, the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August 10-16, 2019.

Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, and Aidong Zhang, On the Estimation of Treatment Effect with Text Covariates, the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August 10-16, 2019.

Kishlay Jha, Guangxu Xun, Yaqing Wang, and Aidong Zhang, Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), Alaska, USA, August 4-8, 2019.

Hongfei Xue, Wenjun Jiang, Chenglin Miao, Ye Yuan, Fenglong Ma, Xin Ma, Yijiang Wang, Shuochao Yao, Wenyao, Aidong Zhang, Lu Su, DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data, The Twentieth International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc 2019), Catania, Italy, July 2-5, 2019.

Guangxu Xun, Kishlay Jha, Ye Yuan, and Aidong Zhang, Topic Discovery for Biomedical Corpus Using MeSH Embeddings, IEEE International Conference on Biomedical and Health Informatics (BHI19), Dorin Forum, University of Illinois at Chicago, Chicago, IL, May 19-22, 2019.

Liuyi Yao, Yaliang Li, Yezheng Li, Mengdi Huai, Hengtong Zhang, Jing Gao, and Aidong Zhang, DTEC: Distance Transformation Based Early Time Series Classification, the SIAM International Conference on Data Mining (SDM19), Alberta, Canada, May 2-4, 2019.

Tianle Ma and Aidong Zhang, AffinityNet: Semi-supervised Few-shot Learning for Disease Type Prediction, the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, January 27 – February 1, 2019.

Tianle Ma and Aidong Zhang, Affinity Network Fusion and Semi-supervised Learning for Cancer Patient Clustering, METHODS journal, Elsevier, Volume 145, August 2018, Pages 16-24.

Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, and Jing Gao, Deep Patient Similarity Learning for Personalized Healthcare, IEEE Transactions on Nanobiomedicine, Volume: 17, Issue 3, July 2018.

Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Aidong Zhang, Towards Confidence Interval Estimation in Truth Discovery, IEEE Transactions on Knowledge and Data Engineering (TKDE), May 2018.

Vishrawas Gopalakrishnan, Kishlay Jha, Guangxu Xun, Hung Q. Ngo, and Aidong Zhang, Towards Self-Learning Based Hypotheses Generation in Biomedical Text Domain, Bioinformatics, Oxford University Press, Vol. 34, Issue 12, 15 June 2018, Pages 2103–2115, Published online: December 2017.

Tianle Ma and Aidong Zhang, Reconstructing Context-specific Gene Regulatory Network and Identifying Modules and Network Rewiring Through Data Integration, METHODS journal, Elsevier, Volume 124, July 2017, pp. 36-45.

Tianle Ma and Aidong Zhang, Multi-view Factorization AutoEncoder with Network Constraints for Multiomic Integrative Analysis, the 2018 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2018), Madrid, Spain, December 3-6, 2018.

Ye Yuan, Fenglong Ma, Guangxu Xun, Yaqing Wang, Kebin Jia, Lu Su, and Aidong Zhang, Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks, the 2018 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2018), Madrid, Spain, December 3-6, 2018.

Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, and Aidong Zhang, Representation Learning for Treatment Effect Estimation from Observational Data, Thirty-second Conference on Neural Information Processing Systems (NeurIPS2018), Montre´al, Canada, December 3-8, 2018.

Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, and Aidong Zhang, Multi-task Sparse Metric Learning on Measuring Patient Similarity Progression, the 2018 IEEE International Conference on Data Mining (ICDM’18), Singapore, November 17-20, 2018.

Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, and Aidong Zhang, MuVAN: A Multi-view Attention Network for Multivariate Temporal Data, the 2018 IEEE International Conference on Data Mining (ICDM’18), Singapore, November 17-20, 2018.

Kishlay Jha, Yaqing Wang, Guangxu Xun, and Aidong Zhang, Interpretable Word Embeddings For Medical Domain, the 2018 IEEE International Conference on Data Mining (ICDM’18), Singapore, November 17-20, 2018.

Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, and Aidong Zhang, Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, August 19-23, 2018.

Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, and Aidong Zhang, Metric Learning from Probabilistic Labels, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, August 19-23, 2018.

Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, and Aidong Zhang, Risk Prediction on Electronic Healthcare Records with Prior Medical Knowledge, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, August 19-23, 2018.

Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, and Aidong Zhang, Online Truth Discovery on Time Series Data, the eighteenth SIAM International Conference on Data Mining (SDM18), San Diego, California, USA, May 3-5, 2018.

Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, and Aidong Zhang, Uncorrelated Patient Similarity Learning, the eighteenth SIAM International Conference on Data Mining (SDM18), San Diego, California, USA, May 3-5, 2018.

Ye Yuan, Guangxu Xun, Fenglong Ma, Qiuling Suo, Hongfei Xue, Kebin Jia, and Aidong Zhang, A Novel Channel-aware Attention Framework for Multi-channel EEG Seizure Detection via Multi-view Deep Learning, IEEE Biomedical and Health Informatics (BHI’18), Las Vegas, NV, USA, March 4-7, 2018.

Kishlay Jha, Guangxu Xun, Vishrawas Gopalakrishnan, and Aidong Zhang, Augmenting Word Embeddings through External Knowledge-base for Biomedical Application, Special Session on Intelligent Data Mining, IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, Dec. 11-14, 2017.

Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, and Aidong Zhang, Personalized Disease Prediction Using A CNN-Based Similarity Learning Method, the 2017 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2017), Kansas City, MO, USA, November 13-16, 2017.

Tianle Ma and Aidong Zhang, Integrate Multi-omic Data Using Affinity Network Fusion (ANF) for Cancer Patient Clustering, the 2017 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2017), Kansas City, MO, USA, November 13-16, 2017. (Best paper award, out of 414 submissions)

Ye Yuan, Guangxu Xun, Kebin Jia, and Aidong Zhang, A Novel Wavelet-based EEG Analysis for Epileptic Seizure Detection using Multi-context Learning, the 2017 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2017), Kansas City, MO, USA, November 13-16, 2017.

Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, and Aidong Zhang, Generating Medical Hypotheses Based on Evolutionary Medical Concepts, Proceedings of the IEEE International Conference on Data Mining (ICDM’17), New Orleans, LA, USA, November 18-21, 2017.

Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, and Aidong Zhang, Wave2Vec: Learning Deep Representations for Biosignals, Proceedings of the IEEE International Conference on Data Mining (ICDM’17), New Orleans, LA, USA, November 18-21, 2017.

Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, and Agostino Gnasso, A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks, the AMIA (The American Medical Informatics Association) 2017 Annual Symposium, Washington, DC, November 04 - 08, 2017.

Guangxu Xun, Yaliang Li, Jing Gao and Aidong Zhang, Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts, Proceedings of the 23th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2017), Halifax, Nova Scotia - Canada, August 13-17, 2017.

Ye Yuan, Guangxu Xun, Kebin Jia, and Aidong Zhang, A Multi-view Deep Learning Method for Epileptic Seizure Detection Using Short-time Fourier Transform, the 8th ACM Conference on Bioinformatics, Computational Biology and Health Informatics, Boston, August 20-23, 2017.

Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang, Unsupervised Discovery of Drug Side-Effects From Heterogeneous Data Sources, Proceedings of the 23th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2017), Halifax, Nova Scotia - Canada, August 13-17, 2017.

Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao and Aidong Zhang, A Correlated Topic Model Using Word Embeddings, the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 19-23, 2017.

Tianle Ma and Aidong Zhang, A Framework for Robust Differential Network Modular Structure Discovery from RNA-seq Data, the 2016 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2016), Shenzhen, China, December 15-18, 2016.

Cuicui Yang, Junzhong Ji, and Aidong Zhang, Bacterial Biological Mechanisms for Functional Module Detection in PPI Networks, the 2016 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2016), Shenzhen, China, December 15-18, 2016.

Jinduo Liu, Junzhong Ji, Aidong Zhang, and Peipeng Liang, An Ant Colony Optimization Algorithm for Learning Brain Effective Connectivity Network from fMRI Data, the 2016 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2016), Shenzhen, China, December 15-18, 2016.

Guangxu Xun, Vishrawas Gopalakrishnan, Jing Gao and Aidong Zhang, Topic Discovery for Short Texts Using Word Embeddings, the IEEE International Conference on Data Mining (ICDM’16), Barcelona, December 13-15, 2016.

Qiuling Suo, Hongfei Xue, Jing Gao and Aidong Zhang, Risk Factor Analysis Based On Deep Learning Models, the 7th ACM Conference on Bioinformatics, Computational Biology and Health Informatics, Seattle, Oct. 2-5, 2016.

Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, and Aidong Zhang, Influence based Analysis of Community Consistency in Dynamic Networks, The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016), San Francisco, CA, August 18-21, 2016. (Best paper award)

Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang, Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. Proceedings of the 22th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2016), San Francisco, CA, August 13-17, 2016.

Vishrawas Gopalakrishnan, Kishlay Jha, Aidong Zhang and Wei Jin, Generating Hypothesis: Using Global and Local Features in Graph to Discover New Knowledge from Medical Literature, 8th International Conference on Bioinformatics and Computational Biology (BICoB) Las Vegas, Nevada, USA, April 4-6, 2016 (In conjunction with CATA-2016).

N. Londhe, V. Gopalakrishnan, R. Srihari and Aidong Zhang, MESS: A Multilingual Error based String Similarity Measure for Transliterated Name Variants, Forum of Information Retrieval and Evaluation (FIRE 2015), DAIICT, Gandhinagar, December 4-6, 2015.

X. Li, X. Jia, H. Li, H. Xiao, J. Gao, and A. Zhang, DRN: Bringing Greedy Layer-wised Training into Time Dimension, the 2015 IEEE International Conference on Data Mining (ICDM’15), Atlantic City, NJ, Nov 14-17, 2015.

Guangxu Xun, Xiaowei Jia, and Aidong Zhang, Context-learning Based Electroencephalogram Analysis for Epileptic Seizure Detection, the 2015 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015), Washington DC, November 9-12, 2015.

Guangxu Xun, Xiaoyi Li, Marc R. Knecht, Paras N. Prasad, Mark T. Swihart, Tiffany R. Walsh, and Aidong Zhang Identifying Inorganic Material Affinity Classes for Peptide Sequences Based on Context Learning, the 2015 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015), Washington DC, November 9-12, 2015.

X. Li, X. Jia, and A. Zhang, Improving EEG Feature Learning via Synchronized Facial Video, the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, Oct. 29 - Nov. 1, 2015.

X. Jia, A. Wang, X. Li, G. Xun, W. Xu, and A. Zhang, Multi-modal Learning for Video Recommendation based on Mobile Application Usage, the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, Oct. 29 - Nov. 1, 2015.

H. Li, X. Li, X. Jia, M. Ramanathan and A. Zhang, Bone Disease Prediction and Phenotype Discovery using Feature Representation over Electronic Health Records, the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics, Atlanta, GA, Sep. 9-12, 2015.

N. Du, J. Gao, L. Ge, V. Gopalakrishnan, X. Jia, K. Li, and A. Zhang, Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015), Paris, France, August 25-28, 2015.

K. Li, S. Guo, N. Du, J. Gao, and A. Zhang, Functional Node Detection on Linked Data, 2015 SIAM International Conference on Data Mining (SDM), Vancouver, Bristish Columbia, Canada, April 30-May 2, 2015.

K. Li, J. Gao, S. Guo, N. Du, X. Li, and A. Zhang, LRBM: A Restricted Boltzmann Machine based Approach for Representation Learning on Linked Data, the 2014 IEEE International Conference on Data Mining (ICDM’14), Shenzhen, P. R. China, December 14-17, 2014.

X. Jia, K. Li, X. Li, and Aidong Zhang. A Novel Semi-supervised Deep Learning Framework for Affective State Recognition on EEG Signals with Two-level Channel Selection, the 14th IEEE International Conference on BioInformatics and BioEngineering (BIBE), Boca Raton, FL, November 10-12, 2014. (Best Student Paper Award)

S. Guo, S. Zhong, and Aidong Zhang, Privacy Preserving Calculation of Fisher Criterion Score for Informative Gene Selection, the 14th IEEE International Conference on BioInformatics and BioEngineering (BIBE), Boca Raton, FL, November 10-12, 2014.

X. Jia, N. Du, J. Gao, A. Zhang, Analysis on Community Variational Trend in Dynamic Networks, ACM International Conference on Information and Knowledge Management (CIKM), Shanghai, China, November 3-7, 2014.

Xiujuan Lei, Fei Wang, Fang-Xiang Wu, and Aidong Zhang, Detecting Functional Modules in Dynamic Protein-Protein Interaction Networks Using Markov Clustering and Firefly Algorithm, the 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Belfast, UK, Nov. 2-5, 2014.

N. Londhe, V. Gopalakrishnan, A. Zhang, H. Q. Ngo, R. Srihari, Matching Titles with Cross Title Web-Search Enrichment and Community Detection, 40th International Conference on Very Large Data Bases (VLDB), Hangzhou, China, September 1-5, 2014, Proceedings of the Very Large Database Endowment, Volume 7.

X. Li, N. Du, H. Li, K. Li, J. Gao and A. Zhang, A Deep Learning Approach to Link Prediction in Dynamic Networks, 2014 SIAM International Conference on Data Mining (SDM), Philadelphia, PA, April 24-26, 2014.

K. Li, X. Li, Y. Zhang, and A. Zhang, Affective State Recognition from EEG with Deep Belief Networks, the 2013 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2013), Shanghai, China, December 18-21, 2013.

N. Du, X. Li, Y. Zhang, and A. Zhang, Detecting Mutual Functional Gene Clusters from Multiple Related Diseases, the 2013 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2013), Shanghai, China, December 18-21, 2013.

H. Li, X. Li, M. Ramanathan, and A. Zhang, A Generative Framework for Prediction and Informative Risk Factor Selection of Bone Diseases, the 2013 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2013), Shanghai, China, December 18-21, 2013.

K. Li, S. Guo, N. Du, J. Gao, and A. Zhang, Learning, Analyzing and Predicting Object Roles on Dynamic Networks, the 2013 IEEE International Conference on Data Mining (ICDM’13), Dallas, Texas, December 7-10, 2013.

N. Du, J. Gao, and A. Zhang, Progression Analysis of Community Strengths in Dynamic Networks, the 2013 IEEE International Conference on Data Mining (ICDM’13), Dallas, Texas, December 7-10, 2013.

L. Ge, J. Gao, and A. Zhang, OMS-TL: A Framework of Online Multiple Source Transfer Learning, 22nd International Conference on Information and Knowledge Management (CIKM), Burlingame, CA, USA. Oct 27 - Nov 1, 2013.

S. Guo, S. Zhong and A. Zhang, A Privacy Preserving Markov Model for Sequence Classification, 2013 ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2013), Washington, DC, September 22-24, 2013.

N. Du, M. R. Knecht, P. N. Prasad, M. T. Swihart, T. Walsh and A. Zhang, A Framework for Identifying Affinity Classes of Inorganic Materials Binding Peptide Sequences, 2013 ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2013), Washington, DC, September 22-24, 2013.

H. Li, X. Li, M. Ramanathan and A. Zhang, A Semi-Supervised Learning Approach to Integrated Salient Risk Features for Bone Diseases, 2013 ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2013), Washington, DC, September 22-24, 2013.

K. Li, S. Guo, Jing Gao and Aidong Zhang, An Ensemble Model for Mobile Device based Arrhythmia Detection, 2013 ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2013), Washington, DC, September 22-24, 2013.

L. Ge, J. Gao , X. Li, A. Zhang, Multi-Source Deep Learning for Information Trustworthiness Estimation, Proc. of 19th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD13), Chicago, IL, August 11-14, 2013.

L. Ge , J. Gao, H. Ngo, K. Li and A. Zhang, On Handling Negative Transfer and Imbalanced Distributions in Multiple Source Transfer Learning, SIAM on Data Mining (SDM), Austin, Texas, May 2-4, 2013.

L. Ge, J. Gao, X. Yu, W. Fan, and A. Zhang, Estimating Local Information Trustworthiness via Multi-Source Joint Matrix Factorization, IEEE International Conference on Data Mining (ICDM), Brussels, Belgium, December 10-13, 2012.

N. Du, Y. Zhang, K. Li, J. Gao, S. D Mahajan, B. B Nair, S. A. Schwartz and A. Zhang. Evolutionary Analysis of Functional Modules in Dynamic PPI Networks. 2012 ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2012), Orlando, FL, USA, Oct. 7-10, 2012.

H. Li, X. Li, L. Bone, C. Buyea, M. Ramanathan and A. Zhang, 3D Bone Microarchitecture Modeling and Fracture Risk Prediction, 2012 ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2012), Orlando, FL, USA, Oct. 7-10, 2012.

L. Ge, J. Gao, N. Du and A. Zhang, Finding Informative Genes for Prostate Cancer: A General Framework of Integrating Heterogeneous Sources, 2012 ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2012), Orlando, FL, USA, Oct. 7-10, 2012.

K. Li, N. Du and A. Zhang, Detecting ECG Abnormalities via Transductive Transfer Learning, 2012 ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2012), Orlando, FL, USA, Oct. 7-10, 2012.

K. Li, N. Du, and A. Zhang, A Link Prediction based Unsupervised Rank Aggregation Algorithm for Informative Gene Selection, the 2012 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2012), Philadelphia, PA, USA, Oct 4-7, 2012.

N. Du, J. Gao, V. Gopalakrishna, and A. Zhang, De-noise Biological Network from Heterogeneous Sources via Link Propagation, the 2012 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2012), Philadelphia, PA, USA, Oct 4-7, 2012.

N. Du, S. D Mahajan, S. A. Schwartz, B. B Nair, C. B. Hsiao and A. Zhang. An Artificial fish swarm based supervised gene rank aggregation algorithm for informative genes studies. Proceedings of IASTED Conference on Computational Intelligence and Bioinformatics (IASTED CIB 2011), pp. 114-121.

L. Ge, N. Du, and A. Zhang, Pseudo Cold Start Link Prediction with Multiple Sources in Social Networks, SIAM International Conference on Data Mining (SDM), Anaheim, CA, April 26-28, 2012. (Poster paper)

L. Ge, N. Du, and A. Zhang, Finding Informative Genes from Multiple Microarray Experiments: A Graph-based Consensus Maximization Model, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Atlanta, 12-15 November 2011.

X. Lei, S. Wu, L. Ge, and A. Zhang, Clustering PPI Data Based on Bacteria Foraging Optimization Algorithm, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Atlanta, 12-15 November 2011.

T. Kim, L. Bone, M. Ramanathan, and A. Zhang, Mathematical Network Model for Bone Mineral Density (BMD) and Bone Quality Assessment, the ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM BCB), Chicago, IL, August 1-3, 2011, pp. 69-75.

T. Kim, J. Koh, K. Li, M. Ramanathan, and A. Zhang, Identification of Critical Location on A Microstructural Bone Network, IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Hong Kong, Dec. 18-21, 2010.

L. Shi and A. Zhang, Semi-supervised Learning Protein Complexes from Protein Interaction Networks, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Hong Kong, Dec. 18-21, 2010.

L. Shi, Y. Cho, and A. Zhang, Functional Flow Simulation Based Analysis of Protein Interaction Network, the 10th International IEEE Conference on Bioinformatics and Bioengineering (IEEE BIBE-2010), Philadelphia, USA, May 31 - June 3, 2010.

T. Kim, W. Hwang, A. Zhang, and M. Ramanathan, Computational Framework for Microstructural Bone Dynamics Model and Its Evaluation, the 10th International IEEE Conference on Bioinformatics and Bioengineering (IEEE BIBE-2010), Philadelphia, USA, May 31 - June 3, 2010.

P. Chanda, A. Zhang, and M. Ramanathan, On Mining Statistically Significant Attribute Association Information, the 2010 SIAM International Conference on Data Mining (SDM’2010), Columbus, OH, on April 29 - May 1, 2010. (82/351)

P. Chanda, A. Zhang, and M. Ramanathan, Mining of Attribute Interactions Using Information Theoretic Metrics, ICDM 2009 Workshop on Optimization Based Methods for Emerging Data Mining Problems, in conjunction with IEEE International Conference on Data Mining, Miami, Florida, USA, December 6, 2009. (10/30)

Y. Cho, L. Shi, and A. Zhang, flowNet: Flow-based Approach for Efficient Analysis of Complex Biological Networks, IEEE International Conference on Data Mining (ICDM 2009), Miami, FL, December 6-9, 2009.

Y. Cho and A. Zhang, Restructuring Protein Interaction Networks to Reveal Structural Hubs and Functional Organizations, 2009 IEEE International Conference on Bioinformatics and Biomedicine, Washington, DC, November 1-4, 2009.

L. Shi, Y. Cho and A. Zhang, ANN Based Protein Function Prediction Using Integrated Protein-Protein Interaction Data, the 2009 International Joint Conferences on System Biology, Bioinformatics and Intelligent Computing (IJCBS09), Shanghai, China, August 3-5th, 2009. (Best student paper award)

T. Kim, W. Hwang, A. Zhang, S. Sen, and M. Ramanathan, Multi-Agent Model Analysis of the Containment Strategy for Avian Influenza (AI) in South Korea, 2008 IEEE International Conference on Bioinformatics and Biomedicine, Philadelphia, USA, November 3-5, 2008. (Short paper)

Y. Cho and A. Zhang, Discovering Frequent Patterns of Functional Associations in Protein Interaction Networks for Function Prediction, 2008 IEEE International Conference on Bioinformatics and Biomedicine, Philadelphia, USA, November 3-5, 2008. (38/156)

P. Chanda, A. Zhang, and M. Ramanathan, A Novel Information Theoretic Method for Detecting Gene-Gene Interactions in Complex Diseases, the 8th IEEE International Conference on BioInformatics and BioEngineering (BIBE2008), Athens, Greece, October 8-10, 2008.

P. Chanda, A. Zhang, L. Sucheston, M. Ramanathan, Information Theoretic Methods for Detecting Multiple Loci Associated with Complex Diseases, 8th International Workshop on Data Mining in Bioinformatics (BIOKDD08), Las Vegas, NV, USA, August 24, 2008. (8/25)

W. Hwang, T. Kim, Murali Ramanathan, and A. Zhang, Bridging Centrality: Graph Mining from Element Level to Group Level, the 14th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Las Vegas, August 24-27, 2008.

H. Xu, D. Yu, D. Xu, and A. Zhang, SS-ClusterTree: A Subspace Clustering Based Indexing Algorithm over High-Dimensional Image Features, ACM International Conference on Image and Video Retrieval (CIVR), Niagara Falls, Canada, July 7-9, 2008.

Y. Cho, X. Xu, W. Hwang, and A. Zhang, Feature Extraction from Microarray Expression Data by Integration of Semantic Knowledge, Workshop on Machine Learning in Biomedicine and Bioinformatics, in conjunction with The Sixth International Conference of Machine Learning and Application (ICMLA), Cincinnati, Ohio, December 13-15, 2007.

Y. Cho, W. Hwang, and A. Zhang, Assessing Reliability of Protein-protein Interactions by Semantic Data Integration, IEEE ICDM 2007 Workshop on Mining and Management of Biological Data, Omaha, NE, October 28-31, 2007.

W. Hwang, T. Kim, Y. Cho, A. Zhang, and Murali Ramanathan, SIGN: Reliable Protein Interaction Identification by Integrating the Similarity In GO and the Similarity in Protein Interaction Networks, IEEE 7th Symposium on Bioinformatics & Bioengineering (BIBE07), Boston, Massachusetts, October 15-17, 2007.

Y. Cho, W. Hwang, and A. Zhang, Optimizing Flow-based Modularization by Iterative Centroid Search in Protein Interaction Networks, IEEE 7th Symposium on Bioinformatics & Bioengineering (BIBE07), Boston, Massachusetts, October 15-17, 2007.

Y. Cho, W. Hwang, and A. Zhang, Modularization of Protein Interaction Networks by Incorporating Gene Ontology Annotations, 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Hawaii, April 1-5 2007.

Y. Cho, W. Hwang, and Aidong Zhang, Efficient Modularization of Weighted Protein Interaction Networks using k-Hop Graph Reduction, IEEE 6th IEEE Symposium on Bioinformatics and Bioengineering (BIBE06), Washington D.C., October 16-18, 2006.

C. Lin, D. Jiang, and Aidong Zhang, Prediction of Protein Function Using Common-Neighbors in Protein-Protein Interaction Networks, IEEE 6th IEEE Symposium on Bioinformatics and Bioengineering (BIBE06), Washington D.C., October 16-18, 2006.

W. Hwang, Cho, Y., A. Zhang, and M. Ramanathan, Signal Transduction Model Based Functional Module Detection Algorithm for Protein-Protein Interaction Networks, the 6th International Workshop on Data Mining in Bioinformatics (BIOKDD 2006), in conjunction with KDD-2006: 11th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining August 20 - 23, 2006, Philadelphia, PA, USA.

Y. Cho, W. Hwang, A. Zhang, and M. Ramanathan, Assessing Hierarchical Modularity in Protein Interaction Networks, in the Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB2006), Standford University, Stanford, CA, August 14-18, 2006.

X. Xu and A. Zhang, Selecting Informative Genes from Microarray Dataset by Incorporating Gene Ontology, 5th IEEE Symposium on Bioinformatics and Bioengineering (BIBE05), Minneapolis, Minnesota, October 19-21, 2005.

P. Pei and A. Zhang, A Two Step Approach for Clustering Proteins based on Protein Interaction Profiles, 5th IEEE Symposium on Bioinformatics and Bioengineering (BIBE05), Minneapolis, Minnesota, October 19-21, 2005, pp. 201-209.

J. Pei, D. Jiang, and A. Zhang, On Mining Cross-Graph Quasi-Cliques, The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, 8/21/2005 - 8/24/2005.

P. Pei and A. Zhang, A Topological Measurement for Weighted Protein Interaction Network, in the Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB2005), Standford University, Stanford, CA, August 8-12, 2005.

D. Jiang, J. Pei, and A. Zhang, A General Approach to Mining Quality Pattern-based Clusters from Gene Expression Data, The 10th International Conference on Database Systems for Advanced Applications (DASFAA 2005), April 18-20, 2005 Friendship Hotel, Beijing, China, pp. 188-200.

S. Gollapudi, D. Sivakumar, and A. Zhang, Exploiting Anarchy in Networks: A Game-Theoretic Approach to Combining Fairness and Throughput, IEEE INFOCOM 2005, Miami, March 13-17, 2005.

Y. Shi and A. Zhang, A Cluster-Outlier Iterative Detection Approach to Multi-Dimensional Data Analysis, The 21st International Conference on Data Engineering (ICDE 2005), April 5-8, 2005, National Center of Sciences, Tokyo, Japan. (poster paper)

J. Pei, D. Jiang, and A. Zhang, Mining Cross-graph Quasi-cliques in Gene Expression and Protein Interaction Data, The 21st International Conference on Data Engineering (ICDE 2005), April 5-8, 2005, National Center of Sciences, Tokyo, Japan. (poster paper)

D. Ma and A. Zhang, An Adaptive Density-Based Clustering Algorithm for Spatial Database with Noise, The Fourth IEEE International Conference on Data Mining (ICDM2004), Brighton, UK, November 01 - 04, 2004. (short paper)

D. Jiang, J. Pei, M. Ramanathan, C. Tang, A. Zhang, Mining Coherent Gene Clusters from Gene-Sample-Time Microarray Data, the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD2004), 22-25 August, 2004, Seattle, Washington, USA. (Runner-Up for Best Application Paper Award)

D. Jiang, J. Pei, A. Zhang, GPX: Interactive Mining of Gene Expression Data, the 30th International Conference on Very Large Data Bases (VLDB2004), 30 August - 3 September 2004, Toronto, Canada.

Y. Shi and A. Zhang, A Shrinking-Based Dimension Reduction Approach for Multi-Dimensional Data Analysis, 16th International Conference on Scientific and Statistical Database Management (SSDBM), 21-23 June 2004, Santorini Island Greece. (poster paper)

Y. Wu and A. Zhang, Feature Selection for Classifying High-Dimensional Numerical Data, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR04), Washington, DC, 27th June - 2nd July, 2004.

D. Ma and A. Zhang, Core Tracking: An Efficient Approach to Clustering Moving Targets and Tracking Clusters, the 2004 IEEE Radar Conference, April 26-29, 2004, Philadelphia, Pennsylvania.

C. Tang and A. Zhang, Mining Multiple Phenotype Structures Underlying Gene Expression Profiles, in the Proceedings of Twelfth International Conference on Information and Knowledge Management (CIKM 2003), November 3-8 2003, New Orleans, LA, USA.

D. Jiang, J. Pei, and A. Zhang, Interactive Exploration of Coherent Patterns in Time-series Gene Expression Data, in the Proceedings of The Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACMKDD), Washington DC., August 24-27, 2003.

C. Tang, A. Zhang, J. Pei, Mining Phenotypes and Informative Genes from Gene Expression Data, in the Proceedings of The Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACMKDD), Washington DC., August 24-27, 2003.

L. Zhang, A. Zhang, amd M. Ramanathan, Fourier Harmonic Approach for Visualizing Temporal Patterns of Gene Expression Data, in the Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB2003), Standford University, Stanford, CA, August 11-14, 2003.

Y. Shi, Y. Song and A. Zhang, A Shrinking-Based Approach for Multi-Dimensional Data Analysis, in the Proceedings of the 29th International Conference on Very Large Data Bases (VLDB), Berlin, Germany, September 9-12, 2003.

R. Li, K. Bedford, C.K. Shum, J.R. Ramirez, A. Zhang, and A. Elaksher, Integration of Multi-Source Spatial Information for Coastal Management and Decision Making, in the proceedings of NSF’s National Conference on Digital Government Research (dg.o2003), Boston, May 18-21, 2003.

R. Ma, T. Ali, X. Niu, V. Velissariou, K. Cheng, C. Kuo, X. Xu, A. Elaksher, R. Li, K. Bedford, C. K. Shum, J. Ramirez and A. Zhang, A Spatio-temporal Decision Making System for Coastal Change Monitoring and Coastal Management, in the proceedings of NSF’s National Conference on Digital Government Research (dg.o2003), Boston, May 18-21, 2003.

Y. Wu and A. Zhang, An Adaptive Classification Method for Multimedia Retrieval, in the proceedings of 2003 IEEE International Conference on Multimedia and Expo (ICME2003), Baltimore, MD, July 6-9, 2003.

W. Wang, Y. Song, and A. Zhang, Identification of Objects from Image Regions, in the proceedings of 2003 IEEE International Conference on Multimedia and Expo (ICME2003), Baltimore, MD, July 6-9, 2003.

Y. Wu and A. Zhang, Adaptive Pattern Discovery for Interactive Multimedia Retrieval, in the proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Madison, Wisconsin, June 16-22, 2003.

D. Jiang, J. Pei, and A. Zhang, DHC: A Density-based Hierarchical Clustering Method for Time Series Gene Expression Data, in the proceedings of the 3rd IEEE International Symposium on Bioinformatics and Bioengineering (BIBE), March 10-12, 2003, Washington DC.

Bin Zhang, Catalin I Tomai, and Aidong Zhang. An Adaptive Texture Image Retrieval System Using Wavelets, in the proceedings of The Seventh International Conference on Control, Automation, Robotics and Vision (ICARV 2002), Marina Mandarin Hotel, Singapore, Dec 2-5, 2002.

C. Tang and A. Zhang, An Iterative Strategy for Pattern Discovery in High-dimensional Data Sets, Eleventh International Conference on Information and Knowledge Management (CIKM’02), McLean, VA, November 4-9, 2002.

R. Aygun and A. Zhang, Extracting Coarse Boundary Features For Video Processing, in the proceedings of the 2002 IEEE International Conference on Multimedia and Expo (ICME2002), August 26-29, 2002, Lausanne, Switzerland.

R. Aygun and A. Zhang, Reducing Blurring-Effect in High Resolution Mosaic Generation, in the proceedings of the 2002 IEEE International Conference on Multimedia and Expo (ICME2002), August 26-29, 2002, Lausanne, Switzerland.

Y. Wu and A. Zhang, Category-Based Search Using Metadatabase in Image Retrieval, in the proceedings of the 2002 IEEE International Conference on Multimedia and Expo (ICME2002), August 26-29, 2002, Lausanne, Switzerland.

B. Zhang, C.I. Tomai, and A. Zhang, Adaptive Texture Image Retrieval in Transform Domain, in the proceedings of the 2002 IEEE International Conference on Multimedia and Expo (ICME2002), August 26-29, 2002, Lausanne, Switzerland.

W. Wang, Y. Song, and A. Zhang, Semantics-based Image Retrieval by Region Saliency, The Challenge of Image and Video Retrieval (CIVR2002), International Conference on Image and Video Retrieval, July 18-19, 2002, The Brunei Gallery, SOAS, Russell Square, London, UK.

Y. Wu and A. Zhang, A Feature Re-weighting Approach For Relevance Feedback in Image Retrieval, IEEE 2002 International Conference on Image Processing (ICIP2002), September 22-25, 2002, Rochester, New York, USA.

R. Aygun and A. Zhang, Global Motion Estimation from Semi-Dynamic Video using Motion Sensors, IEEE 2002 International Conference on Image Processing (ICIP2002), September 22-25, 2002, Rochester, New York, USA.

R. Aygun and A. Zhang, Management of Backward-Skip Interactions Using Synchronization Rules, in the proceedings of the Modeling and Development of Multimedia Systems, a special session at the 6th Biennial World Conference on Integrated Design and Process Technology (IDPT 2002), June 23-28, 2002, Doubletree Hotel Pasadena, California.

W. Wang, Y.Song, and A. Zhang, Semantics Retrieval by Content and Context of Image Regions, in the proceedings of the 5th International Conference on Vision Interface (VI’2002), May 27-29, 2002, Calgary, Canada.

L. Zhang, C. Tang, Y. Shi, Y. Song, A. Zhang, and M. Ramanathan, VizCluster: An Interactive Visualization Approach to Cluster Analysis and Its Application on Microarray Data, in the proceedings of the Second SIAM International Conference on Data Mining (SDM’2002), Arlington, Virginia, April 11-13, 2002, pp. 19-40.

Y. Song and A. Zhang, Locating Image Background By Monotonic Tree, in the proceedings of the International Conference on Computer Vision, Pattern Recognition and Image Processing (CVPRIP’2002), in conjunction with Sixth Joint Conference On Information Sciences (JCIS2002), Durham, North Carolina, March 8 - 14, 2002, pp. 879-884.

Y. Song and A. Zhang, Monotonic Tree, in the proceedings of the 10th International Conference on Discrete Geometry for Computer Imagery (DGCI’2002), Bordeaux, France, April 3-5, 2002.

Y. Song, W. Wang, and A. Zhang, Automatic Annotation and Retrieval of Images, in the proceedings of the IFIP conference on Visual Database Systems (VDB-6), special session on Multimedia Information Management and Retrieval, Brisbane, Australia, May 29-31, 2002. (invited paper).

C. Tang, L. Zhang, and A. Zhang, Interactive Visualization and Analysis for Gene Expression Data, in the proceedings of the the Data Management in Health Care Minitrack in the Information Technology in Health Care Track of the Thirty-Fifth Hawaii International Conference on System Sciences (HICSS-35), Hawaii, January 7-10, 2002.

C. Tang, L. Zhang, A. Zhang and M. Ramanathan, Interrelated Two-way Clustering: An Unsupervised Approach for Gene Expression Data Analysis, in the proceedings of the the 2nd IEEE International Symposium on Bioinformatics and Bioengineering (BIBE), Rockville, Maryland, November 4-6, 2001, pp. 41-48.

L. Zhu, C. Tang and A. Zhang, Using Keyblock Statistics to Model Image Retrieval, in the proceedings of the the Second IEEE Pacific-Rim Conference on Multimedia (PCM2001), Beijing, China, Oct. 24-26, 2001, pp. 522-529.

Y. Shi and A. Zhang, Dynamic Clustering and Indexing of Multi-Dimensional Datasets, in the proceedings of the Fourth International Conference on Information Fusion (FUSION2001), Montreal, QC, Canada, August 7-10, 2001, pp. 29-34.

R. Aygun and A. Zhang, Stationary Background Generation in MPEG Compressed Video Sequences, in the proceedings of the 2001 IEEE International Conference on Multimedia and Expo (ICME2001), Tokyo, Japan, August 2001, pp. 908-911.

L. Zhu, C. Tang, A. Rao and A. Zhang, Using Thesaurus to Model Keyblock-based Image Retrieval, in the proceedings of the 2001 IEEE International Conference on Multimedia and Expo (ICME2001), Tokyo, Japan, August 2001, pp. 237-240.

A. Zhang and L. Zhu, Metadata Generation and Retrieval of Geographic Imagery, in the proceedings of the National Science Foundation Conference dg.o 2001, May 21-23, 2001, pp. 76-83.

R. Aygun and A. Zhang, Interactive Multimedia Presentation Management in Distributed Multimedia Systems, in the proceedings of the International Conference on Information Technology: Coding and Computing (ITCC 2001), April 2-4, 2001, Las Vegas, Nevada, pp. 275-279.

L. Zhu, A. Zhang, A. Rao and R. Srihari, Keyblock: An Approach for Content-based Image Retrieval, in the Proceedings of the ACM Multimedia’2000, Los Angeles, California, October 30 - November 3, 2000, pp. 157-166. ACM Press.

L. Zhu, A. Rao and A. Zhang, Keyblock: An Approach for Content-based Geographic Image Retrieval, in the Proceedings of the First International Conference on Geographic Information Science (GIScience 2000), October 28-31, 2000, Savannah, Georgia, pp. 286-287.

L. Zhu and A. Zhang, Supporting Multi-Example Image Queries in Image Databases, in the Proceedings of the International Conference on Multimedia and Expo 2000, July 31 – August 2, 2000, New York City, pp. 697-700.

D. Yu and A. Zhang, ClusterTree: Integration of Cluster Representation and Nearest Neighbor Search for Image Databases, in the Proceedings of the International Conference on Multimedia and Expo 2000, July 31 – August 2, 2000, New York City, pp. 1713–1716.

D. Yu, S. Chatterjee, and A. Zhang, Efficiently Detecting Arbitrary Shaped Clusters in Image Databases, in the Proceedings of The Eleventh IEEE International Conference on Tools with Artificial Intelligence (ICTAI’99), Chicago IL, November 9-11, 1999, pp. 187-194. (invited paper)

Y. Song, M. Mielke and A. Zhang, NetMedia: Synchronized Streaming of Multimedia Presentations in Distributed Environments, in the Proceedings of the Sixth IEEE International Conference on Multimedia Computing and Systems (ICMCS’99), Florence, Italy, June 7-11, 1999, IEEE Computer Society Press, Vol II, pp. 585-590.

M. Mielke and A. Zhang, Optimally Ensured Interactive Service in Distributed Multimedia Presentation Systems, in the Proceedings of the Sixth IEEE International Conference on Multimedia Computing and Systems (ICMCS’99), Florence, Italy, June 7-11, 1999, IEEE Computer Society Press, Vol I, pp. 661-666.

M. Mielke and A. Zhang, A Multi-level Buffering and Feedback Scheme for Distributed Multimedia Presentation Systems, in the Proceedings of the Seventh International Conference on Computer Communications and Networks (IC3N’98), Lafayette, Louisiana, October 1998, pp. 219-226.

G. Sheikholeslami, S. Chatterjee, and A. Zhang, WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases, in the Proceedings of the 24th International Conference on Very Large Data Bases (VLDB), New York City, August 1998, pp. 428-439. Morgan Kaufmann Publishers.

G. Sheikholeslami, W. Chang, and A. Zhang, Semantic Clustering and Querying on Heterogeneous Features for Visual data, in the Proceedings of the ACM Multimedia’98, Bristol, UK, September 1998, pp. 3-12. ACM Press.

W. Chang, D. Murthy, A. Zhang and T. Syeda-Mahmood, Global Integration of Visual Databases, in the Proceedings of the IEEE 14th International Conference on Data Engineering (ICDE), Orlando, Florida, February 1998, pp. 542-549. IEEE Computer Society Press.

V. Balachandran, G. Bhat, S. Chakravarty and A. Zhang, A Network Manager on Ethernets for Distributed Multimedia Systems, in the Proceedings of the 22nd Annual IEEE Conference on Local Computer Networks (LCN), Minneapolis, Minnesota, November 1997, pp. 410-419. IEEE Computer Society Press.

W. Chang, G. Sheikholeslami, A. Zhang and T. Syeda-Mahmood, Efficient Resource Selection in Distributed Visual Information Systems, in the Proceedings of the ACM Multimedia’97, Seattle, WA, November 1997, pp. 203-213. ACM Press.

G. Sheikholeslami and A. Zhang, Feature Visualization and Analysis for Image Classification and Retrieval, in the Proceedings of the 2nd International Conference on Visual Information Systems, San Diego, December 1997, pp. 347-354. Knowledge Systems Institute press.

D. Murthy and A. Zhang, WebView: A Multimedia Database Resource Integration and Search System over Web, in the Proceedings of WebNet 97: World Conference of the WWW, Internet and Intranet, Toronto, Canada, November 1997. (Electronic Proceedings)

W. Chang and A. Zhang, Collecting Metadata For Visual Database Discovery, in the Proceedings of Second IEEE Metadata Conference, Silver Spring, MD, September 1997. (Electronic proceedings).

W. Chang, D. Murthy, A. Zhang, and T. Syeda-Mahmood, Metadatabase and Search Agent for Multimedia Database Access over Internet, in the Fourth IEEE International Conference on Multimedia Computing and Systems (ICMCS’97), Ottawa, Canada, June 1997, pp. 626-627.

T. Johnson and A. Zhang, A Framework for Supporting Quality-Based Presentation of Continuous Multimedia Streams, in the Proceedings of the Fourth IEEE International Conference on Multimedia Computing and Systems (ICMCS’97), Ottawa, Canada, June 1997, pp. 169-176. IEEE Computer Society Press.

A. Zhang and T. Johnson, A Framework for Supporting Quality-Based Multimedia Presentation in Educational Digital Libraries, in the Proceedings of the International Conference on the Advances in Digital Libraries (ADL), Washington, DC, May 1997, pp. 102-113. IEEE Computer Society Press.

R. Menon and R. Acharya and A. Zhang, Content Based Image Query from Image Database Using Spatio-Temporal Transforms and Fractal Analysis Methods, in the Proceedings of of the 1996 International Conference on Image Processing, Lausanne, Switzerland, September 1996.

S. Gollapudi and A. Zhang, Buffer Management in Multimedia Database Systems, in the Third IEEE International Conference on Multimedia Computing and Systems (ICMCS’96), Hiroshima, Japan, June 1996, pp. 186-190.

E. Pitoura, A. Zhang, and B. Bhargava, A View-Based Approach to Relaxing Global Serializability in a Multidatabase System, in Proceedings of the 14th ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC95), Ottawa, Canada, August 1995, pp. 265-265.

A. Zhang, M. Nodine, B. Bhargava, and O. Bukhres, Ensuring Relaxed Atomicity for Flexible Transactions in Multidatabase Systems, in the Proceedings of the 1994 ACM SIGMOD International Conference on Management of Data (SIGMOD’94), Minneapolis, May 1994, pp. 67-78. ACM Press.

B. Bhargava and A. Zhang, Scheduling with Compensation in Multidatabase Systems, in the Proceedings of the Third International Conference on System Integration, Brazil, August 1994. (Invited paper)

A. Zhang and B. Bhargava, Enforceable Interdatabase Constraints in Integrating Multiple Autonomous Databases, in the Proceedings of the Fourth International Conference on Data and Knowledge Systems for Manufacturing and Engineering (DKSME’94), Hong Kong, May 1994, pp. 645-650.