| 2025 | AAAI | Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder. | Qianqian Wang, Zihao Zhang, Wei Feng, Zhiqiang Tao, Quanxue Gao |
| 2025 | COLING | Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems. | Xuyang Wu, Shuowei Li, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang |
| 2025 | EMNLP | X-CoT: Explainable Text-to-Video Retrieval via LLM-based Chain-of-Thought Reasoning. | Prasanna Reddy Pulakurthi, Jiamian Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Zhiqiang Tao |
| 2025 | EMNLP | Visual Self-Refinement for Autoregressive Models. | Jiamian Wang, Ziqi Zhou, Chaithanya Kumar Mummadi, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Chen Qiu, Zhiqiang Tao |
| 2025 | EMNLP | Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning. | Xuyang Wu, Jinming Nian, Ting-Ruen Wei, Zhiqiang Tao, Hsin-Tai Wu, Yi Fang |
| 2025 | EMNLP | Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts. | Xuyang Wu, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang |
| 2025 | ICCV | Structured Policy Optimization: Enhance Large Vision-Language Model via Self-Referenced Dialogue. | Guohao Sun, Can Qin, Yihao Feng, Zeyuan Chen, Ran Xu, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao |
| 2025 | IJCAI | Efficient Multi-view Clustering via Reinforcement Contrastive Learning. | Qianqian Wang, Haiming Xu, Zihao Zhang, Zhiqiang Tao, Quanxue Gao |
| 2024 | AAAI | Partial Multi-View Clustering via Self-Supervised Network. | Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong |
| 2024 | CVPR | Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval. | Jiamian Wang, Pichao Wang, Guohao Sun, Dongfang Liu, Sohail A. Dianat, Raghuveer Rao, Majid Rabbani, Zhiqiang Tao |
| 2024 | ECCV | SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. | Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao |
| 2024 | EMNLP | Self-Training Large Language and Vision Assistant for Medical Question Answering. | Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao |
| 2024 | ICML | Prototypical Transformer As Unified Motion Learners. | Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu |
| 2024 | IJCAI | Federated Multi-View Clustering via Tensor Factorization. | Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao |
| 2024 | IJCAI | Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means. | Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao |
| 2024 | KDD | Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. | Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu |
| 2024 | NAACL | Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers. | Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang |
| 2024 | WWW | Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning. | Guohao Sun, Yue Bai, Xueying Yang, Yi Fang, Yun Fu, Zhiqiang Tao |
| 2023 | CIKM | Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning. | Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li |
| 2023 | ICCV | Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. | Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao |
| 2023 | KDD | An Empirical Study of Selection Bias in Pinterest Ads Retrieval. | Yuan Wang, Peifeng Yin, Zhiqiang Tao, Hari Venkatesan, Jin Lai, Yi Fang, PJ Xiao |
| 2022 | CIKM | Fairness of Machine Learning in Search Engines. | Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin |
| 2022 | CIKM | Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty. | Xueying Yang, Jiamian Wang, Xujiang Zhao, Sheng Li, Zhiqiang Tao |
| 2022 | ECCV | Modeling Mask Uncertainty in Hyperspectral Image Reconstruction. | Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao |
| 2022 | ICLR | Dual Lottery Ticket Hypothesis. | Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu |
| 2022 | SIGIR | A Meta-learning Approach to Fair Ranking. | Yuan Wang, Zhiqiang Tao, Yi Fang |
| 2022 | SDM | Collaborative Attention Mechanism for Multi-Modal Time Series Classification. | Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu |
| 2021 | AAAI | Correlative Channel-Aware Fusion for Multi-View Time Series Classification. | Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu |
| 2021 | SIGIR | Automated Graph Learning via Population Based Self-Tuning GCN. | Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li |
| 2020 | ICLR | Automated Relational Meta-learning. | Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li |
| 2020 | IJCAI | Multi-View Attribute Graph Convolution Networks for Clustering. | Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao |
| 2019 | ICCV | Generative Multi-View Human Action Recognition. | Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu |
| 2019 | IJCAI | Deep Adversarial Multi-view Clustering Network. | Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang |
| 2019 | IJCAI | Adversarial Graph Embedding for Ensemble Clustering. | Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu |
| 2019 | KDD | Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit. | Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu |
| 2018 | ICDM | Partial Multi-view Clustering via Consistent GAN. | Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu |
| 2017 | AAAI | Simultaneous Clustering and Ensemble. | Zhiqiang Tao, Hongfu Liu, Yun Fu |
| 2017 | AAAI | Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. | Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu |
| 2017 | CVPR | Deep Sequential Context Networks for Action Prediction. | Yu Kong, Zhiqiang Tao, Yun Fu |
| 2017 | IJCAI | Large-scale Subspace Clustering by Fast Regression Coding. | Jun Li, Handong Zhao, Zhiqiang Tao, Yun Fu |
| 2017 | IJCAI | From Ensemble Clustering to Multi-View Clustering. | Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu |
| 2016 | CIKM | Robust Spectral Ensemble Clustering. | Zhiqiang Tao, Hongfu Liu, Sheng Li, Yun Fu |