Saliency map fusion based on rank-one constraint. - Xiaochun Cao; Zhiqiang Tao; Bao Zhang; Huazhu Fu; Xuewei Li (ICME, 2013)

Co-Saliency Detection via Base Reconstruction. - Xiaochun Cao; Yupeng Cheng; Zhiqiang Tao; Huazhu Fu (ACM Multimedia, 2014)

Self-Adaptively Weighted Co-Saliency Detection via Rank Constraint. - Xiaochun Cao; Zhiqiang Tao; Bao Zhang; Huazhu Fu; Wei Feng 005 (IEEE Trans. Image Process., 2014)

A flexible framework of adaptive method selection for image saliency detection. - Changqing Zhang; Zhiqiang Tao; Xingxing Wei; Xiaochun Cao (Pattern Recognit. Lett., 2015)

Structured Saliency Fusion Based on Dempster-Shafer Theory. - Xingxing Wei; Zhiqiang Tao; Changqing Zhang; Xiaochun Cao (IEEE Signal Process. Lett., 2015)

Robust Spectral Ensemble Clustering. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Yun Fu 001 (CIKM, 2016)

Simultaneous Clustering and Ensemble. - Zhiqiang Tao; Hongfu Liu 001; Yun Fu 001 (AAAI, 2017)

Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. - Zhiqiang Tao; Hongfu Liu 001; Huazhu Fu; Yun Fu 001 (AAAI, 2017)

Multi-view graph learning with adaptive label propagation. - Sheng Li 001; Hongfu Liu 001; Zhiqiang Tao; Yun Fu 001 (IEEE BigData, 2017)

Deep Sequential Context Networks for Action Prediction. - Yu Kong 001; Zhiqiang Tao; Yun Fu 001 (CVPR, 2017)

Large-scale Subspace Clustering by Fast Regression Coding. - Jun Li 027; Handong Zhao; Zhiqiang Tao; Yun Fu 001 (IJCAI, 2017)

From Ensemble Clustering to Multi-View Clustering. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Zhengming Ding; Yun Fu 001 (IJCAI, 2017)

Partial Multi-view Clustering via Consistent GAN. - Qianqian Wang 001; Zhengming Ding; Zhiqiang Tao; Quanxue Gao; Yun Fu 001 (ICDM, 2018)

Partition Level Constrained Clustering. - Hongfu Liu 001; Zhiqiang Tao; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Segmentation Guided Image-to-Image Translation with Adversarial Networks. - Songyao Jiang; Zhiqiang Tao; Yun Fu 001 (FG, 2019)

Generative Multi-View Human Action Recognition. - Lichen Wang; Zhengming Ding; Zhiqiang Tao; Yunyu Liu; Yun Fu 001 (ICCV, 2019)

Deep Adversarial Multi-view Clustering Network. - Zhaoyang Li; Qianqian Wang 001; Zhiqiang Tao; Quanxue Gao; Zhaohua Yang (IJCAI, 2019)

Adversarial Graph Embedding for Ensemble Clustering. - Zhiqiang Tao; Hongfu Liu 001; Jun Li 027; Zhaowen Wang; Yun Fu 001 (IJCAI, 2019)

Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit. - Zhiqiang Tao; Sheng Li 001; Zhaowen Wang; Chen Fang; Longqi Yang; Handong Zhao; Yun Fu 001 (KDD, 2019)

Consensus Clustering: An Embedding Perspective, Extension and Beyond. - Hongfu Liu 001; Zhiqiang Tao; Zhengming Ding (CoRR, 2019)

Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism. - Yue Bai; Lichen Wang; Zhiqiang Tao; Sheng Li 001; Yun Fu 001 (CoRR, 2019)

Machining accuracy reliability during the peripheral milling process of thin-walled components. - Ziling Zhang; Yin Qi; Qiang Cheng 004; Zhifeng Liu; Zhiqiang Tao; Ligang Cai (Robotics Comput. Integr. Manuf., 2019)

Visual to Text: Survey of Image and Video Captioning. - Sheng Li 001; Zhiqiang Tao; Kang Li; Yun Fu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Multi-View Saliency-Guided Clustering for Image Cosegmentation. - Zhiqiang Tao; Hongfu Liu 001; Huazhu Fu; Yun Fu 001 (IEEE Trans. Image Process., 2019)

Robust Spectral Ensemble Clustering via Rank Minimization. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Zhengming Ding; Yun Fu 001 (ACM Trans. Knowl. Discov. Data, 2019)

Automated Relational Meta-learning. - Huaxiu Yao; Xian Wu 001; Zhiqiang Tao; Yaliang Li; Bolin Ding; Ruirui Li 002; Zhenhui Li (ICLR, 2020)

Multi-View Attribute Graph Convolution Networks for Clustering. - Jiafeng Cheng; Qianqian Wang 001; Zhiqiang Tao; De-Yan Xie; Quanxue Gao (IJCAI, 2020)

Learning to Mutate with Hypergradient Guided Population. - Zhiqiang Tao; Yaliang Li; Bolin Ding; Ce Zhang 001; Jingren Zhou 001; Yun Fu 001 (NeurIPS, 2020)

Generative Partial Multi-View Clustering. - Qianqian Wang 001; Zhengming Ding; Zhiqiang Tao; Quanxue Gao; Yun Fu 001 (CoRR, 2020)

Collaborative Attention Mechanism for Multi-View Action Recognition. - Yue Bai; Zhiqiang Tao; Lichen Wang; Sheng Li 001; Yu Yin 001; Yun Fu 001 (CoRR, 2020)

Adversarial Action Prediction Networks. - Yu Kong 001; Zhiqiang Tao; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Marginalized Multiview Ensemble Clustering. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Zhengming Ding; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Correlative Channel-Aware Fusion for Multi-View Time Series Classification. - Yue Bai; Lichen Wang; Zhiqiang Tao; Sheng Li 001; Yun Fu 001 (AAAI, 2021)

Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering. - Qianqian Wang 001; Wei Xia; Zhiqiang Tao; Quanxue Gao; Xiaochun Cao (ACM Multimedia, 2021)

Automated Graph Learning via Population Based Self-Tuning GCN. - Ronghang Zhu; Zhiqiang Tao; Yaliang Li; Sheng Li 001 (SIGIR, 2021)

A New Backbone for Hyperspectral Image Reconstruction. - Jiamian Wang; Yulun Zhang 001; Xin Yuan 002; Yun Fu 001; Zhiqiang Tao (CoRR, 2021)

Adversarial Memory Networks for Action Prediction. - Zhiqiang Tao; Yue Bai; Handong Zhao; Sheng Li 001; Yu Kong 001; Yun Fu 001 (CoRR, 2021)

Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network. - Jiamian Wang; Yulun Zhang 001; Xin Yuan 002; Ziyi Meng; Zhiqiang Tao (CoRR, 2021)

Geometrically Editable Face Image Translation With Adversarial Networks. - Songyao Jiang; Zhiqiang Tao; Yun Fu 001 (IEEE Trans. Image Process., 2021)

Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency. - Qianqian Wang 001; Zhengming Ding; Zhiqiang Tao; Quanxue Gao; Yun Fu 001 (IEEE Trans. Image Process., 2021)

Fairness of Machine Learning in Search Engines. - Yi Fang 008; Hongfu Liu 001; Zhiqiang Tao; Mikhail Yurochkin (CIKM, 2022)

Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty. - Xueying Yang; Jiamian Wang; Xujiang Zhao; Sheng Li 001; Zhiqiang Tao (CIKM, 2022)

Modeling Mask Uncertainty in Hyperspectral Image Reconstruction. - Jiamian Wang; Yulun Zhang 001; Xin Yuan 002; Ziyi Meng; Zhiqiang Tao (ECCV (19), 2022)

Dual Lottery Ticket Hypothesis. - Yue Bai; Huan Wang 014; Zhiqiang Tao; Kunpeng Li; Yun Fu 001 (ICLR, 2022)

Parameter-Efficient Masking Networks. - Yue Bai; Huan Wang 014; Xu Ma 005; Yitian Zhang; Zhiqiang Tao; Yun Fu 001 (NeurIPS, 2022)

Collaborative Attention Mechanism for Multi-Modal Time Series Classification. - Yue Bai; Zhiqiang Tao; Lichen Wang; Sheng Li 001; Yu Yin 001; Yun Fu 001 (SDM, 2022)

A Meta-learning Approach to Fair Ranking. - Yuan Wang 076; Zhiqiang Tao; Yi Fang 008 (SIGIR, 2022)

S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction. - Jiamian Wang; Kunpeng Li; Yulun Zhang 001; Xin Yuan 002; Zhiqiang Tao (CoRR, 2022)

Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding. - Jun Li 027; Zhiqiang Tao; Yue Wu 008; Bineng Zhong; Yun Fu 001 (IEEE Trans. Cybern., 2022)

Learnable Subspace Clustering. - Jun Li 027; Hongfu Liu 001; Zhiqiang Tao; Handong Zhao; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

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 001 (CIKM, 2023)

Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. - Jiamian Wang; Huan Wang 014; Yulun Zhang 001; Yun Fu 001; Zhiqiang Tao (ICCV, 2023)

An Empirical Study of Selection Bias in Pinterest Ads Retrieval. - Yuan Wang 076; Peifeng Yin; Zhiqiang Tao; Hari Venkatesan; Jin Lai; Yi Fang 008; PJ Xiao (KDD, 2023)

Dropping Pathways Towards Deep Multi-View Graph Subspace Clustering Networks. - Zihao Zhang; Qianqian Wang 001; Zhiqiang Tao; Quanxue Gao; Wei Feng 010 (ACM Multimedia, 2023)

Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training. - Hitesh Sapkota; Dingrong Wang; Zhiqiang Tao; Qi Yu 001 (NeurIPS, 2023)

From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding. - Zhiqiang Tao; Jun Li 027; Huazhu Fu; Yu Kong 001; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Adversarial Multiview Clustering Networks With Adaptive Fusion. - Qianqian Wang 001; Zhiqiang Tao; Wei Xia; Quanxue Gao; Xiaochun Cao; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2023)

Partial Multi-View Clustering via Self-Supervised Network. - Wei Feng 010; Guoshuai Sheng; Qianqian Wang 001; Quanxue Gao; Zhiqiang Tao; Bo Dong 001 (AAAI, 2024)

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 (CVPR, 2024)

SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. - Guohao Sun; Can Qin; Jiamian Wang; Zeyuan Chen 001; Ran Xu 001; Zhiqiang Tao (ECCV (9), 2024)

Self-Training Large Language and Vision Assistant for Medical Question Answering. - Guohao Sun; Can Qin; Huazhu Fu; Linwei Wang; Zhiqiang Tao (EMNLP, 2024)

Prototypical Transformer As Unified Motion Learners. - Cheng Han 001; Yawen Lu; Guohao Sun; James Chenhao Liang; Zhiwen Cao; Qifan Wang 001; Qiang Guan; Sohail A. Dianat; Raghuveer Rao; Tong Geng; Zhiqiang Tao; Dongfang Liu (ICML, 2024)

Federated Multi-View Clustering via Tensor Factorization. - Wei Feng 010; Zhenwei Wu; Qianqian Wang 001; Bo Dong 001; Zhiqiang Tao; Quanxue Gao (IJCAI, 2024)

Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means. - Wei Feng 010; Zhenwei Wu; Qianqian Wang 001; Bo Dong 001; Zhiqiang Tao; Quanxue Gao (IJCAI, 2024)

Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. - Dingrong Wang; Hitesh Sapkota; Zhiqiang Tao; Qi Yu 001 (KDD, 2024)

DFMVC: Deep Fair Multi-view Clustering. - Bowen Zhao; Qianqian Wang 001; Zhiqiang Tao; Wei Feng 010; Quanxue Gao (ACM Multimedia, 2024)

Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers. - Yuan Wang 076; Xuyang Wu 002; Hsin-Tai Wu; Zhiqiang Tao; Yi Fang 008 (NAACL-HLT, 2024)

Diffusion-Inspired Truncated Sampler for Text-Video Retrieval. - Jiamian Wang; Pichao Wang; Dongfang Liu; Qiang Guan; Sohail A. Dianat; Majid Rabbani; Raghuveer Rao; Zhiqiang Tao (NeurIPS, 2024)

Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging. - Jiamian Wang; Zongliang Wu; Yulun Zhang 001; Xin Yuan 002; Tao Lin; Zhiqiang Tao (NeurIPS, 2024)

Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning. - Guohao Sun; Yue Bai; Xueying Yang; Yi Fang 008; Yun Fu 001; Zhiqiang Tao (WWW, 2024)

A systematic evaluation of computational methods for cell segmentation. - Yuxing Wang; Junhan Zhao; Hongye Xu; Cheng Han 001; Zhiqiang Tao; Dawei Zhou; Tong Geng; Dongfang Liu; Zhicheng Ji (Briefings Bioinform., 2024)

Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts. - Xuyang Wu 002; Yuan Wang 076; Hsin-Tai Wu; Zhiqiang Tao; Yi Fang 008 (CoRR, 2024)

STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical. - Guohao Sun; Can Qin; Huazhu Fu; Linwei Wang; Zhiqiang Tao (CoRR, 2024)

ChainRank-DPO: Chain Rank Direct Preference Optimization for LLM Rankers. - Haowei Liu; Xuyang Wu 002; Guohao Sun; Zhiqiang Tao; Yi Fang 008 (CoRR, 2024)

Fairness in Search Systems. - Yi Fang; Ashudeep Singh; Zhiqiang Tao (Found. Trends Inf. Retr., 2024)

Multi-View Subspace Clustering via Structured Multi-Pathway Network. - Qianqian Wang 001; Zhiqiang Tao; Quanxue Gao; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Unified Meta-Learning Framework for Fair Ranking With Curriculum Learning. - Yuan Wang 076; Zhiqiang Tao; Yi Fang 008 (IEEE Trans. Knowl. Data Eng., 2024)

Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder. - Qianqian Wang 001; Zihao Zhang; Wei Feng 010; Zhiqiang Tao; Quanxue Gao (AAAI, 2025)

Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems. - Xuyang Wu 002; Shuowei Li; Hsin-Tai Wu; Zhiqiang Tao; Yi Fang 008 (COLING, 2025)

Evaluating Social Biases in LLM Reasoning. - Xuyang Wu 002; Jinming Nian; Zhiqiang Tao; Yi Fang 008 (CoRR, 2025)

$S^{2}$S2-Transformer for Mask-Aware Hyperspectral Image Reconstruction. - Jiamian Wang; Kunpeng Li; Yulun Zhang 001; Xin Yuan 002; Zhiqiang Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)