Zhiqiang Tao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 74

Top Topics

Subspace Clustering

Image Reconstruction

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

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
Prototypical Transformer as Unified Motion Learners. CoRR (2024)
Guohao Sun, Yue Bai, Xueying Yang, Yi Fang, Yun Fu, Zhiqiang Tao
Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning. WWW (2024)
Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. CoRR (2024)
Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. CoRR (2024)
Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers. NAACL-HLT (2024)
Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Licheng Jiao
Multi-View Subspace Clustering via Structured Multi-Pathway Network. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Yuxing Wang, Junhan Zhao, Hongye Xu, Cheng Han, Zhiqiang Tao, Dawei Zhou, Tong Geng, Dongfang Liu, Zhicheng Ji
A systematic evaluation of computational methods for cell segmentation. Briefings Bioinform. 25 (5) (2024)
Yuan Wang, Zhiqiang Tao, Yi Fang
A Unified Meta-Learning Framework for Fair Ranking With Curriculum Learning. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Jiamian Wang, Guohao Sun, Pichao Wang, Dongfang Liu, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao
Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval. CoRR (2024)
Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical. CoRR (2024)
Xuyang Wu, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts. CoRR (2024)
Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers. CoRR (2024)
Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. KDD (2024)
Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong
Partial Multi-View Clustering via Self-Supervised Network. AAAI (2024)
Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. ICCV (2023)
Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. CoRR (2023)
Zhiqiang Tao, Jun Li, Huazhu Fu, Yu Kong, Yun Fu
From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Hitesh Sapkota, Dingrong Wang, Zhiqiang Tao, Qi Yu
Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training. NeurIPS (2023)
Yuan Wang, Peifeng Yin, Zhiqiang Tao, Hari Venkatesan, Jin Lai, Yi Fang, PJ Xiao
An Empirical Study of Selection Bias in Pinterest Ads Retrieval. KDD (2023)
Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li
Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning. CIKM (2023)
Qianqian Wang, Zhiqiang Tao, Wei Xia, Quanxue Gao, Xiaochun Cao, Licheng Jiao
Adversarial Multiview Clustering Networks With Adaptive Fusion. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Zihao Zhang, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Wei Feng
Dropping Pathways Towards Deep Multi-View Graph Subspace Clustering Networks. ACM Multimedia (2023)
Jiamian Wang, Zongliang Wu, Yulun Zhang, Xin Yuan, Tao Lin, Zhiqiang Tao
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging. CoRR (2023)
Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu
Collaborative Attention Mechanism for Multi-Modal Time Series Classification. SDM (2022)
Jiamian Wang, Kunpeng Li, Yulun Zhang, Xin Yuan, Zhiqiang Tao
S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction. CoRR (2022)
Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu
Dual Lottery Ticket Hypothesis. CoRR (2022)
Xueying Yang, Jiamian Wang, Xujiang Zhao, Sheng Li, Zhiqiang Tao
Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty. CIKM (2022)
Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu
Parameter-Efficient Masking Networks. CoRR (2022)
Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin
Fairness of Machine Learning in Search Engines. CIKM (2022)
Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu
Parameter-Efficient Masking Networks. NeurIPS (2022)
Yuan Wang, Zhiqiang Tao, Yi Fang
A Meta-learning Approach to Fair Ranking. SIGIR (2022)
Jun Li, Zhiqiang Tao, Yue Wu, Bineng Zhong, Yun Fu
Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding. IEEE Trans. Cybern. 52 (9) (2022)
Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu
Dual Lottery Ticket Hypothesis. ICLR (2022)
Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu
Learnable Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction. ECCV (19) (2022)
Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency. IEEE Trans. Image Process. 30 (2021)
Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao
Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network. CoRR (2021)
Songyao Jiang, Zhiqiang Tao, Yun Fu
Geometrically Editable Face Image Translation With Adversarial Networks. IEEE Trans. Image Process. 30 (2021)
Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu
Correlative Channel-Aware Fusion for Multi-View Time Series Classification. AAAI (2021)
Qianqian Wang, Wei Xia, Zhiqiang Tao, Quanxue Gao, Xiaochun Cao
Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering. ACM Multimedia (2021)
Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li
Automated Graph Learning via Population Based Self-Tuning GCN. SIGIR (2021)
Zhiqiang Tao, Yue Bai, Handong Zhao, Sheng Li, Yu Kong, Yun Fu
Adversarial Memory Networks for Action Prediction. CoRR (2021)
Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li
Automated Graph Learning via Population Based Self-Tuning GCN. CoRR (2021)
Jiamian Wang, Yulun Zhang, Xin Yuan, Yun Fu, Zhiqiang Tao
A New Backbone for Hyperspectral Image Reconstruction. CoRR (2021)
Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
Generative Partial Multi-View Clustering. CoRR (2020)
Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
Automated Relational Meta-learning. CoRR (2020)
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
Marginalized Multiview Ensemble Clustering. IEEE Trans. Neural Networks Learn. Syst. 31 (2) (2020)
Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
Automated Relational Meta-learning. ICLR (2020)
Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu
Learning to Mutate with Hypergradient Guided Population. NeurIPS (2020)
Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao
Multi-View Attribute Graph Convolution Networks for Clustering. IJCAI (2020)
Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu
Learnable Subspace Clustering. CoRR (2020)
Yu Kong, Zhiqiang Tao, Yun Fu
Adversarial Action Prediction Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42 (3) (2020)
Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu
Collaborative Attention Mechanism for Multi-View Action Recognition. CoRR (2020)
Sheng Li, Zhiqiang Tao, Kang Li, Yun Fu
Visual to Text: Survey of Image and Video Captioning. IEEE Trans. Emerg. Top. Comput. Intell. 3 (4) (2019)
Songyao Jiang, Zhiqiang Tao, Yun Fu
Segmentation Guided Image-to-Image Translation with Adversarial Networks. FG (2019)
Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu
Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit. KDD (2019)
Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu
Multi-View Saliency-Guided Clustering for Image Cosegmentation. IEEE Trans. Image Process. 28 (9) (2019)
Songyao Jiang, Zhiqiang Tao, Yun Fu
Segmentation Guided Image-to-Image Translation with Adversarial Networks. CoRR (2019)
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
Robust Spectral Ensemble Clustering via Rank Minimization. ACM Trans. Knowl. Discov. Data 13 (1) (2019)
Ziling Zhang, Yin Qi, Qiang Cheng, Zhifeng Liu, Zhiqiang Tao, Ligang Cai
Machining accuracy reliability during the peripheral milling process of thin-walled components. Robotics Comput. Integr. Manuf. 59 (2019)
Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu
Adversarial Graph Embedding for Ensemble Clustering. IJCAI (2019)
Hongfu Liu, Zhiqiang Tao, Zhengming Ding
Consensus Clustering: An Embedding Perspective, Extension and Beyond. CoRR (2019)
Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu
Generative Multi-View Human Action Recognition. ICCV (2019)
Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu
Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism. CoRR (2019)
Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang
Deep Adversarial Multi-view Clustering Network. IJCAI (2019)
Hongfu Liu, Zhiqiang Tao, Yun Fu
Partition Level Constrained Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 40 (10) (2018)
Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
Partial Multi-view Clustering via Consistent GAN. ICDM (2018)
Sheng Li, Hongfu Liu, Zhiqiang Tao, Yun Fu
Multi-view graph learning with adaptive label propagation. IEEE BigData (2017)
Yu Kong, Zhiqiang Tao, Yun Fu
Deep Sequential Context Networks for Action Prediction. CVPR (2017)
Jun Li, Handong Zhao, Zhiqiang Tao, Yun Fu
Large-scale Subspace Clustering by Fast Regression Coding. IJCAI (2017)
Zhiqiang Tao, Hongfu Liu, Yun Fu
Simultaneous Clustering and Ensemble. AAAI (2017)
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
From Ensemble Clustering to Multi-View Clustering. IJCAI (2017)
Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu
Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. AAAI (2017)
Zhiqiang Tao, Hongfu Liu, Sheng Li, Yun Fu
Robust Spectral Ensemble Clustering. CIKM (2016)
Changqing Zhang, Zhiqiang Tao, Xingxing Wei, Xiaochun Cao
A flexible framework of adaptive method selection for image saliency detection. Pattern Recognit. Lett. 63 (2015)
Xingxing Wei, Zhiqiang Tao, Changqing Zhang, Xiaochun Cao
Structured Saliency Fusion Based on Dempster-Shafer Theory. IEEE Signal Process. Lett. 22 (9) (2015)
Xiaochun Cao, Zhiqiang Tao, Bao Zhang, Huazhu Fu, Wei Feng
Self-Adaptively Weighted Co-Saliency Detection via Rank Constraint. IEEE Trans. Image Process. 23 (9) (2014)
Xiaochun Cao, Yupeng Cheng, Zhiqiang Tao, Huazhu Fu
Co-Saliency Detection via Base Reconstruction. ACM Multimedia (2014)
Xiaochun Cao, Zhiqiang Tao, Bao Zhang, Huazhu Fu, Xuewei Li
Saliency map fusion based on rank-one constraint. ICME (2013)