Zhang, Aidong

36 publications

TMLR 2026 The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning Wenqian Ye, Luyang Jiang, Eric Xie, Guangtao Zheng, Yunsheng Ma, Xu Cao, Dongliang Guo, Daiqing Qi, Zeyu He, Yijun Tian, Christopher W. Porter, Megan Coffee, Zhe Zeng, Sheng Li, Ziran Wang, Ting-Hao Kenneth Huang, James Matthew Rehg, Henry Kautz, Aidong Zhang

ICLR 2026 Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders Guangzhi Xiong, Zhenghao He, Bohan Liu, Sanchit Sinha, Aidong Zhang

IJCAI 2025 ASCENT-ViT: Attention-Based Scale-Aware Concept Learning Framework for Enhanced Alignment in Vision Transformers Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

ICCV 2025 GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability Zhenghao He, Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

ICML 2025 NeuronTune: Towards Self-Guided Spurious Bias Mitigation Guangtao Zheng, Wenqian Ye, Aidong Zhang

NeurIPS 2025 Rectifying Shortcut Behaviors in Preference-Based Reward Learning Wenqian Ye, Guangtao Zheng, Aidong Zhang

IJCAI 2025 ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models Guangtao Zheng, Wenqian Ye, Aidong Zhang

IJCAI 2025 Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Guangzhi Xiong, Eric Xie, Corey M. Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang

IJCAI 2024 A Self-Explaining Neural Architecture for Generalizable Concept Learning Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

AAAI 2024 AdvST: Revisiting Data Augmentations for Single Domain Generalization Guangtao Zheng, Mengdi Huai, Aidong Zhang

ECCV 2024 Benchmarking Spurious Bias in Few-Shot Image Classifiers Guangtao Zheng, Wenqian Ye, Aidong Zhang

ICML 2024 FedMBridge: Bridgeable Multimodal Federated Learning Jiayi Chen, Aidong Zhang

ECCV 2024 Generalizing to Unseen Domains via Text-Guided Augmentation Daiqing Qi, Handong Zhao, Aidong Zhang, Sheng Li

IJCAI 2024 Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation Guangtao Zheng, Wenqian Ye, Aidong Zhang

NeurIPSW 2024 MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs Wenqian Ye, Guangtao Zheng, Yunsheng Ma, Xu Cao, Bolin Lai, James Matthew Rehg, Aidong Zhang

NeurIPS 2024 MedCalc-Bench: Evaluating Large Language Models for Medical Calculations Nikhil Khandekar, Qiao Jin, Guangzhi Xiong, Soren Dunn, Serina S Applebaum, Zain Anwar, Maame Sarfo-Gyamfi, Conrad W Safranek, Abid A Anwar, Andrew Zhang, Aidan Gilson, Maxwell B Singer, Amisha Dave, Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu

AAAI 2024 On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning Jiayi Chen, Aidong Zhang

AAAI 2024 On the Role of Server Momentum in Federated Learning Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang

NeurIPS 2023 Federated Conditional Stochastic Optimization Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang

NeurIPS 2023 Solving a Class of Non-Convex Minimax Optimization in Federated Learning Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang

AAAI 2023 Understanding and Enhancing Robustness of Concept-Based Models Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang

NeurIPS 2022 CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li

AAAI 2022 Towards Automating Model Explanations with Certified Robustness Guarantees Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang

IJCAI 2021 Multi-Cause Effect Estimation with Disentangled Confounder Representation Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li

AAAI 2020 EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang

AAAI 2020 Pairwise Learning with Differential Privacy Guarantees Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang

AAAI 2020 Towards Interpretation of Pairwise Learning Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang

AAAI 2019 AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction Tianle Ma, Aidong Zhang

IJCAI 2019 Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang

IJCAI 2019 Metric Learning on Healthcare Data with Incomplete Modalities Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang

IJCAI 2019 On the Estimation of Treatment Effect with Text Covariates Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang

IJCAI 2019 Privacy-Aware Synthesizing for Crowdsourced Data Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang

NeurIPS 2018 Representation Learning for Treatment Effect Estimation from Observational Data Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang

IJCAI 2017 A Correlated Topic Model Using Word Embeddings Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang

CVPR 2004 Feature Selection for Classifying High-Dimensional Numerical Data Yimin Wu, Aidong Zhang

CVPR 2003 Adaptive Pattern Discovery for Interactive Multimedia Retrieval Yimin Wu, Aidong Zhang