Selected Conference Publications

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2024

On Disentanglement of Asymmetrical Knowledge Transfer for Modality-task Agnostic Federated Learning, AAAI 2024 Jiayi Chen and Aidong Zhang
AdvST: Revisiting Data Augmentations for Single Domain Generalization, AAAI 2024 Guangtao Zheng, Mengdi Huai, and Aidong Zhang
On the Role of Server Momentum in Federated Learning, AAAI 2024. Jianhui Sun, Xidong Wu, Heng Huang, and Aidong Zhang

Solving a Class of Non-Convex Minimax Optimization in Federated Learning, NeurIPS 2023

Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang

Federated Conditional Stochastic Optimization, NeurIPS 2023. Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang
On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with Incompleteness, Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, August 6-10, 2023. Jiayi Chen and Aidong Zhang
Enhance Diffusion to Improve Robust Generalization, Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, August 6-10, 2023. Jianhui Sun, Sanchit Sinha, Aidong Zhang
Learning for Counterfactual Fairness from Observational Data, Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, August 6-10, 2023. Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li
Learning to Learn Task Transformations for Improved Few-Shot Classification, SIAM International Conference on Data Mining (SDM23), Graduate Minneapolis Hotel | Minneapolis, Minnesota, U.S., April 27 - 29, 2023. Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang
Understanding and Enhancing Robustness of Concept-based Models, the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-2023), Washington, DC, February 7-14, 2023. Sanchit Sinha, Mengdi Huai, Jianhui Sun, and Aidong Zhang

CLEAR: Generative Counterfactual Explanations on Graphs, NeurIPS 2022 Conference, New Orleans, November 28 -- December 9, 2022. Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li
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. Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, 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) Jianhui Sun, Mengdi Huai, Kishlay Jha, 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) Jiayi Chen and Aidong Zhang
Towards Automating Model Explanations with Certified Robustness Guarantee, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-2022) Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, 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) Kishlay Jha, Guangxu Xun, Nan Du, 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. Jianhui Sun, Ying Yang, Guangxu Xun, and Aidong Zhang

Malicious Attacks against Deep Reinforcement Learning Interpretations, the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020) Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao and Aidong Zhang
Towards Interpretation of Pairwise Learning, the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang
CorNet: Correlation Networks for Extreme Multi-label Text Classification, the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020) Guangxu Xun, Kishlay Jha, Jianhui Sun and Aidong Zhang
Task-Adaptive Graph Meta-learning, the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020) Qiuling Suo, Jingyuan Chou, Weida Zhong and Aidong Zhang
HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with Incompleteness, the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020) Jiayi Chen and Aidong Zhang
Pairwise Learning with Differential Privacy Guarantees, the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, 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. Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, and Aidong Zhang
Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts, the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), Alaska, USA, August 4-8, 2019. Kishlay Jha, Guangxu Xun, Yaqing Wang, 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, hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, and Aidong Zhang
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

Representation Learning for Treatment Effect Estimation from Observational Data, Thirty-second Conference on Neural Information Processing Systems (NIPS2018), Montréal, Canada, December 3-8, 2018. Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, and Aidong Zhang
Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution, the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, August 19-23, 2018. Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, and Aidong Zhang
Metric Learning from Probabilistic Labels, 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
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. Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, and Aidong Zhang