Zhiqiang Tao

105 papers A* 38A 6B 2Journal 51Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels.
CoRR
Haolei Bai, Lingcheng Kong, Xueyi Chen, Jianmian Wang, Zhiqiang Tao, Huan Wang
2025 J jnl
$S^{2}$S2-Transformer for Mask-Aware Hyperspectral Image Reconstruction.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiamian Wang, Kunpeng Li, Yulun Zhang, Xin Yuan, Zhiqiang Tao
2025 A* conf
Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder.
AAAI
Qianqian Wang, Zihao Zhang, Wei Feng, Zhiqiang Tao, Quanxue Gao
2025 B conf
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems.
COLING
Xuyang Wu, Shuowei Li, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
2025 — conf
Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning.
EMNLP (Findings)
Xuyang Wu, Jinming Nian, Ting-Ruen Wei, Zhiqiang Tao, Hsin-Tai Wu, Yi Fang
2025 A* conf
Efficient Multi-view Clustering via Reinforcement Contrastive Learning.
IJCAI
Qianqian Wang, Haiming Xu, Zihao Zhang, Zhiqiang Tao, Quanxue Gao
2025 — conf
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts.
EMNLP (Findings)
Xuyang Wu, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
2025 J jnl
Evaluating Social Biases in LLM Reasoning.
CoRR
Xuyang Wu, Jinming Nian, Zhiqiang Tao, Yi Fang
2025 J jnl
Latent Chain-of-Thought for Visual Reasoning.
CoRR
Guohao Sun, Hang Hua, Jian Wang, Jiebo Luo, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao
2025 — conf
RaCT: Ranking-aware Chain-of-Thought Optimization for LLMs.
SIGIR-AP
Haowei Liu, Xuyang Wu, Guohao Sun, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
2025 — conf
Visual Self-Refinement for Autoregressive Models.
EMNLP (Findings)
Jiamian Wang, Ziqi Zhou, Chaithanya Kumar Mummadi, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Chen Qiu, Zhiqiang Tao
2025 J jnl
Visual Self-Refinement for Autoregressive Models.
CoRR
Jiamian Wang, Ziqi Zhou, Chaithanya Kumar Mummadi, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Chen Qiu, Zhiqiang Tao
2025 A* conf
X-CoT: Explainable Text-to-Video Retrieval via LLM-based Chain-of-Thought Reasoning.
EMNLP
Prasanna Reddy Pulakurthi, Jiamian Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Zhiqiang Tao
2025 J jnl
X-CoT: Explainable Text-to-Video Retrieval via LLM-based Chain-of-Thought Reasoning.
CoRR
Prasanna Reddy Pulakurthi, Jiamian Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Zhiqiang Tao
2024 J jnl
A Unified Meta-Learning Framework for Fair Ranking With Curriculum Learning.
IEEE Trans. Knowl. Data Eng.
Yuan Wang, Zhiqiang Tao, Yi Fang
2024 J jnl
A systematic evaluation of computational methods for cell segmentation.
Briefings Bioinform.
Yuxing Wang, Junhan Zhao, Hongye Xu, Cheng Han, Zhiqiang Tao, Dawei Zhou, Tong Geng, Dongfang Liu, Zhicheng Ji
2024 A* conf
Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning.
WWW
Guohao Sun, Yue Bai, Xueying Yang, Yi Fang, Yun Fu, Zhiqiang Tao
2024 J jnl
ChainRank-DPO: Chain Rank Direct Preference Optimization for LLM Rankers.
CoRR
Haowei Liu, Xuyang Wu, Guohao Sun, Zhiqiang Tao, Yi Fang
2024 A* conf
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging.
NeurIPS
Jiamian Wang, Zongliang Wu, Yulun Zhang, Xin Yuan, Tao Lin, Zhiqiang Tao
2024 A* conf
DFMVC: Deep Fair Multi-view Clustering.
ACM Multimedia
Bowen Zhao, Qianqian Wang, Zhiqiang Tao, Wei Feng, Quanxue Gao
2024 A* conf
Diffusion-Inspired Truncated Sampler for Text-Video Retrieval.
NeurIPS
Jiamian Wang, Pichao Wang, Dongfang Liu, Qiang Guan, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao
2024 — conf
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers.
NAACL-HLT
Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
2024 J jnl
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers.
CoRR
Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
2024 J jnl
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems.
CoRR
Xuyang Wu, Shuowei Li, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
2024 A* conf
Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means.
IJCAI
Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao
2024 J jnl
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts.
CoRR
Xuyang Wu, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
2024 J jnl
Fairness in Search Systems.
Found. Trends Inf. Retr.
Yi Fang, Ashudeep Singh, Zhiqiang Tao
2024 A* conf
Federated Multi-View Clustering via Tensor Factorization.
IJCAI
Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao
2024 J jnl
Multi-View Subspace Clustering via Structured Multi-Pathway Network.
IEEE Trans. Neural Networks Learn. Syst.
Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Licheng Jiao
2024 A* conf
Partial Multi-View Clustering via Self-Supervised Network.
AAAI
Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong
2024 A* conf
Prototypical Transformer As Unified Motion Learners.
ICML
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 J jnl
Prototypical Transformer as Unified Motion Learners.
CoRR
Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer M. Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu
2024 A* conf
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness.
KDD
Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu
2024 J jnl
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness.
CoRR
Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu
2024 — conf
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant.
ECCV (9)
Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao
2024 J jnl
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant.
CoRR
Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao
2024 J jnl
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical.
CoRR
Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao
2024 A* conf
Self-Training Large Language and Vision Assistant for Medical Question Answering.
EMNLP
Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao
2024 A* conf
Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval.
CVPR
Jiamian Wang, Pichao Wang, Guohao Sun, Dongfang Liu, Sohail A. Dianat, Raghuveer Rao, Majid Rabbani, Zhiqiang Tao
2024 J jnl
Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval.
CoRR
Jiamian Wang, Guohao Sun, Pichao Wang, Dongfang Liu, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao
2023 J jnl
Adversarial Multiview Clustering Networks With Adaptive Fusion.
IEEE Trans. Neural Networks Learn. Syst.
Qianqian Wang, Zhiqiang Tao, Wei Xia, Quanxue Gao, Xiaochun Cao, Licheng Jiao
2023 A* conf
An Empirical Study of Selection Bias in Pinterest Ads Retrieval.
KDD
Yuan Wang, Peifeng Yin, Zhiqiang Tao, Hari Venkatesan, Jin Lai, Yi Fang, PJ Xiao
2023 A conf
Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning.
CIKM
Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li
2023 J jnl
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging.
CoRR
Jiamian Wang, Zongliang Wu, Yulun Zhang, Xin Yuan, Tao Lin, Zhiqiang Tao
2023 A* conf
Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training.
NeurIPS
Hitesh Sapkota, Dingrong Wang, Zhiqiang Tao, Qi Yu
2023 A* conf
Dropping Pathways Towards Deep Multi-View Graph Subspace Clustering Networks.
ACM Multimedia
Zihao Zhang, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Wei Feng
2023 J jnl
From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding.
IEEE Trans. Neural Networks Learn. Syst.
Zhiqiang Tao, Jun Li, Huazhu Fu, Yu Kong, Yun Fu
2023 A* conf
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution.
ICCV
Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao
2023 J jnl
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution.
CoRR
Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao
2022 A* conf
A Meta-learning Approach to Fair Ranking.
SIGIR
Yuan Wang, Zhiqiang Tao, Yi Fang
2022 A conf
Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty.
CIKM
Xueying Yang, Jiamian Wang, Xujiang Zhao, Sheng Li, Zhiqiang Tao
2022 A conf
Collaborative Attention Mechanism for Multi-Modal Time Series Classification.
SDM
Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu
2022 A* conf
Dual Lottery Ticket Hypothesis.
ICLR
Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu
2022 J jnl
Dual Lottery Ticket Hypothesis.
CoRR
Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu
2022 A conf
Fairness of Machine Learning in Search Engines.
CIKM
Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin
2022 J jnl
Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding.
IEEE Trans. Cybern.
Jun Li, Zhiqiang Tao, Yue Wu, Bineng Zhong, Yun Fu
2022 J jnl
Learnable Subspace Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu
2022 — conf
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction.
ECCV (19)
Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao
2022 A* conf
Parameter-Efficient Masking Networks.
NeurIPS
Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu
2022 J jnl
Parameter-Efficient Masking Networks.
CoRR
Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu
2022 J jnl
S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction.
CoRR
Jiamian Wang, Kunpeng Li, Yulun Zhang, Xin Yuan, Zhiqiang Tao
2021 J jnl
A New Backbone for Hyperspectral Image Reconstruction.
CoRR
Jiamian Wang, Yulun Zhang, Xin Yuan, Yun Fu, Zhiqiang Tao
2021 J jnl
Adversarial Memory Networks for Action Prediction.
CoRR
Zhiqiang Tao, Yue Bai, Handong Zhao, Sheng Li, Yu Kong, Yun Fu
2021 A* conf
Automated Graph Learning via Population Based Self-Tuning GCN.
SIGIR
Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li
2021 J jnl
Automated Graph Learning via Population Based Self-Tuning GCN.
CoRR
Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li
2021 J jnl
Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network.
CoRR
Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao
2021 A* conf
Correlative Channel-Aware Fusion for Multi-View Time Series Classification.
AAAI
Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu
2021 A* conf
Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering.
ACM Multimedia
Qianqian Wang, Wei Xia, Zhiqiang Tao, Quanxue Gao, Xiaochun Cao
2021 J jnl
Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency.
IEEE Trans. Image Process.
Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
2021 J jnl
Geometrically Editable Face Image Translation With Adversarial Networks.
IEEE Trans. Image Process.
Songyao Jiang, Zhiqiang Tao, Yun Fu
2020 J jnl
Adversarial Action Prediction Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Yu Kong, Zhiqiang Tao, Yun Fu
2020 A* conf
Automated Relational Meta-learning.
ICLR
Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
2020 J jnl
Automated Relational Meta-learning.
CoRR
Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
2020 J jnl
Collaborative Attention Mechanism for Multi-View Action Recognition.
CoRR
Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu
2020 J jnl
Generative Partial Multi-View Clustering.
CoRR
Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
2020 J jnl
Learnable Subspace Clustering.
CoRR
Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu
2020 A* conf
Learning to Mutate with Hypergradient Guided Population.
NeurIPS
Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu
2020 J jnl
Marginalized Multiview Ensemble Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
2020 A* conf
Multi-View Attribute Graph Convolution Networks for Clustering.
IJCAI
Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao
2019 A* conf
Adversarial Graph Embedding for Ensemble Clustering.
IJCAI
Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu
2019 J jnl
Consensus Clustering: An Embedding Perspective, Extension and Beyond.
CoRR
Hongfu Liu, Zhiqiang Tao, Zhengming Ding
2019 A* conf
Deep Adversarial Multi-view Clustering Network.
IJCAI
Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang
2019 A* conf
Generative Multi-View Human Action Recognition.
ICCV
Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu
2019 A* conf
Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit.
KDD
Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu
2019 J jnl
Machining accuracy reliability during the peripheral milling process of thin-walled components.
Robotics Comput. Integr. Manuf.
Ziling Zhang, Yin Qi, Qiang Cheng, Zhifeng Liu, Zhiqiang Tao, Ligang Cai
2019 J jnl
Multi-View Saliency-Guided Clustering for Image Cosegmentation.
IEEE Trans. Image Process.
Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu
2019 J jnl
Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism.
CoRR
Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu
2019 J jnl
Robust Spectral Ensemble Clustering via Rank Minimization.
ACM Trans. Knowl. Discov. Data
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
2019 B conf
Segmentation Guided Image-to-Image Translation with Adversarial Networks.
FG
Songyao Jiang, Zhiqiang Tao, Yun Fu
2019 J jnl
Segmentation Guided Image-to-Image Translation with Adversarial Networks.
CoRR
Songyao Jiang, Zhiqiang Tao, Yun Fu
2019 J jnl
Visual to Text: Survey of Image and Video Captioning.
IEEE Trans. Emerg. Top. Comput. Intell.
Sheng Li, Zhiqiang Tao, Kang Li, Yun Fu
2018 A* conf
Partial Multi-view Clustering via Consistent GAN.
ICDM
Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
2018 J jnl
Partition Level Constrained Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Hongfu Liu, Zhiqiang Tao, Yun Fu
2017 A* conf
Deep Sequential Context Networks for Action Prediction.
CVPR
Yu Kong, Zhiqiang Tao, Yun Fu
2017 A* conf
From Ensemble Clustering to Multi-View Clustering.
IJCAI
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
2017 A* conf
Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity.
AAAI
Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu
2017 A* conf
Large-scale Subspace Clustering by Fast Regression Coding.
IJCAI
Jun Li, Handong Zhao, Zhiqiang Tao, Yun Fu
2017 — conf
Multi-view graph learning with adaptive label propagation.
IEEE BigData
Sheng Li, Hongfu Liu, Zhiqiang Tao, Yun Fu
2017 A* conf
Simultaneous Clustering and Ensemble.
AAAI
Zhiqiang Tao, Hongfu Liu, Yun Fu
2016 A conf
Robust Spectral Ensemble Clustering.
CIKM
Zhiqiang Tao, Hongfu Liu, Sheng Li, Yun Fu
2015 J jnl
A flexible framework of adaptive method selection for image saliency detection.
Pattern Recognit. Lett.
Changqing Zhang, Zhiqiang Tao, Xingxing Wei, Xiaochun Cao
2015 J jnl
Structured Saliency Fusion Based on Dempster-Shafer Theory.
IEEE Signal Process. Lett.
Xingxing Wei, Zhiqiang Tao, Changqing Zhang, Xiaochun Cao
2014 A* conf
Co-Saliency Detection via Base Reconstruction.
ACM Multimedia
Xiaochun Cao, Yupeng Cheng, Zhiqiang Tao, Huazhu Fu
2014 J jnl
Self-Adaptively Weighted Co-Saliency Detection via Rank Constraint.
IEEE Trans. Image Process.
Xiaochun Cao, Zhiqiang Tao, Bao Zhang, Huazhu Fu, Wei Feng
2013 A conf
Saliency map fusion based on rank-one constraint.
ICME
Xiaochun Cao, Zhiqiang Tao, Bao Zhang, Huazhu Fu, Xuewei Li