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2020 – today
- 2024
[j19]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)- [j18]Yuan Wang, Zhiqiang Tao, Yi Fang:
A Unified Meta-Learning Framework for Fair Ranking With Curriculum Learning. IEEE Trans. Knowl. Data Eng. 36(9): 4386-4397 (2024) - [j17]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): 7244-7250 (2024) - [c44]Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong:
Partial Multi-View Clustering via Self-Supervised Network. AAAI 2024: 11988-11995 - [c43]Jiamian Wang, Pichao Wang, Guohao Sun, Dongfang Liu, Sohail A. Dianat, Raghuveer Rao, Majid Rabbani, Zhiqiang Tao:
Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval. CVPR 2024: 16551-16560 - [c42]Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao:
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. ECCV (9) 2024: 156-172 - [c41]Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao:
Self-Training Large Language and Vision Assistant for Medical Question Answering. EMNLP 2024: 20052-20060 - [c40]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:
Prototypical Transformer As Unified Motion Learners. ICML 2024 - [c39]Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao:
Federated Multi-View Clustering via Tensor Factorization. IJCAI 2024: 3962-3970 - [c38]Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao:
Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means. IJCAI 2024: 3971-3979 - [c37]Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu:
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. KDD 2024: 3001-3012 - [c36]Bowen Zhao, Qianqian Wang, Zhiqiang Tao, Wei Feng, Quanxue Gao:
DFMVC: Deep Fair Multi-view Clustering. ACM Multimedia 2024: 8090-8099 - [c35]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: 5712-5724 - [c34]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: 2271-2281 - [i24]Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao:
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. CoRR abs/2403.11299 (2024) - [i23]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 abs/2403.17998 (2024) - [i22]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 abs/2404.03192 (2024) - [i21]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 abs/2406.01559 (2024) - [i20]Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu:
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. CoRR abs/2406.06792 (2024) - [i19]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 abs/2406.17974 (2024) - [i18]Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao:
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical. CoRR abs/2406.19973 (2024) - [i17]Xuyang Wu, Shuowei Li, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang:
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems. CoRR abs/2409.19804 (2024) - 2023
- [j16]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): 2670-2681 (2023) - [j15]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): 7635-7647 (2023) - [c33]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: 2270-2279 - [c32]Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao:
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. ICCV 2023: 12556-12565 - [c31]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: 5174-5183 - [c30]Zihao Zhang, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Wei Feng:
Dropping Pathways Towards Deep Multi-View Graph Subspace Clustering Networks. ACM Multimedia 2023: 3259-3267 - [c29]Hitesh Sapkota, Dingrong Wang, Zhiqiang Tao, Qi Yu:
Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training. NeurIPS 2023 - [i16]Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao:
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. CoRR abs/2303.09650 (2023) - [i15]Jiamian Wang, Zongliang Wu, Yulun Zhang, Xin Yuan, Tao Lin, Zhiqiang Tao:
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging. CoRR abs/2306.01176 (2023) - 2022
- [j14]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): 9090-9100 (2022) - [j13]Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu:
Learnable Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1119-1133 (2022) - [c28]Xueying Yang, Jiamian Wang, Xujiang Zhao, Sheng Li, Zhiqiang Tao:
Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty. CIKM 2022: 4640-4644 - [c27]Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin:
Fairness of Machine Learning in Search Engines. CIKM 2022: 5132-5135 - [c26]Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao:
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction. ECCV (19) 2022: 112-129 - [c25]Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu:
Dual Lottery Ticket Hypothesis. ICLR 2022 - [c24]Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu:
Parameter-Efficient Masking Networks. NeurIPS 2022 - [c23]Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu:
Collaborative Attention Mechanism for Multi-Modal Time Series Classification. SDM 2022: 495-503 - [c22]Yuan Wang, Zhiqiang Tao, Yi Fang:
A Meta-learning Approach to Fair Ranking. SIGIR 2022: 2539-2544 - [i14]Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu:
Dual Lottery Ticket Hypothesis. CoRR abs/2203.04248 (2022) - [i13]Jiamian Wang, Kunpeng Li, Yulun Zhang, Xin Yuan, Zhiqiang Tao:
S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction. CoRR abs/2209.12075 (2022) - [i12]Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu:
Parameter-Efficient Masking Networks. CoRR abs/2210.06699 (2022) - 2021
- [j12]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: 1771-1783 (2021) - [j11]Songyao Jiang, Zhiqiang Tao, Yun Fu:
Geometrically Editable Face Image Translation With Adversarial Networks. IEEE Trans. Image Process. 30: 2771-2783 (2021) - [c21]Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu:
Correlative Channel-Aware Fusion for Multi-View Time Series Classification. AAAI 2021: 6714-6722 - [c20]Qianqian Wang, Wei Xia, Zhiqiang Tao, Quanxue Gao, Xiaochun Cao:
Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering. ACM Multimedia 2021: 1748-1755 - [c19]Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li:
Automated Graph Learning via Population Based Self-Tuning GCN. SIGIR 2021: 2096-2100 - [i11]Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li:
Automated Graph Learning via Population Based Self-Tuning GCN. CoRR abs/2107.04713 (2021) - [i10]Jiamian Wang, Yulun Zhang, Xin Yuan, Yun Fu, Zhiqiang Tao:
A New Backbone for Hyperspectral Image Reconstruction. CoRR abs/2108.07739 (2021) - [i9]Zhiqiang Tao, Yue Bai, Handong Zhao, Sheng Li, Yu Kong, Yun Fu:
Adversarial Memory Networks for Action Prediction. CoRR abs/2112.09875 (2021) - [i8]Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao:
Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network. CoRR abs/2112.15362 (2021) - 2020
- [j10]Yu Kong, Zhiqiang Tao, Yun Fu:
Adversarial Action Prediction Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 539-553 (2020) - [j9]Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu:
Marginalized Multiview Ensemble Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(2): 600-611 (2020) - [c18]Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li:
Automated Relational Meta-learning. ICLR 2020 - [c17]Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao:
Multi-View Attribute Graph Convolution Networks for Clustering. IJCAI 2020: 2973-2979 - [c16]Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu:
Learning to Mutate with Hypergradient Guided Population. NeurIPS 2020 - [i7]Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li:
Automated Relational Meta-learning. CoRR abs/2001.00745 (2020) - [i6]Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu:
Generative Partial Multi-View Clustering. CoRR abs/2003.13088 (2020) - [i5]Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu:
Learnable Subspace Clustering. CoRR abs/2004.04520 (2020) - [i4]Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu:
Collaborative Attention Mechanism for Multi-View Action Recognition. CoRR abs/2009.06599 (2020)
2010 – 2019
- 2019
- [j8]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: 222-234 (2019) - [j7]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): 297-312 (2019) - [j6]Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu:
Multi-View Saliency-Guided Clustering for Image Cosegmentation. IEEE Trans. Image Process. 28(9): 4634-4645 (2019) - [j5]Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu:
Robust Spectral Ensemble Clustering via Rank Minimization. ACM Trans. Knowl. Discov. Data 13(1): 4:1-4:25 (2019) - [c15]Songyao Jiang, Zhiqiang Tao, Yun Fu:
Segmentation Guided Image-to-Image Translation with Adversarial Networks. FG 2019: 1-7 - [c14]Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu:
Generative Multi-View Human Action Recognition. ICCV 2019: 6211-6220 - [c13]Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang:
Deep Adversarial Multi-view Clustering Network. IJCAI 2019: 2952-2958 - [c12]Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu:
Adversarial Graph Embedding for Ensemble Clustering. IJCAI 2019: 3562-3568 - [c11]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: 1055-1063 - [i3]Songyao Jiang, Zhiqiang Tao, Yun Fu:
Segmentation Guided Image-to-Image Translation with Adversarial Networks. CoRR abs/1901.01569 (2019) - [i2]Hongfu Liu, Zhiqiang Tao, Zhengming Ding:
Consensus Clustering: An Embedding Perspective, Extension and Beyond. CoRR abs/1906.00120 (2019) - [i1]Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu:
Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism. CoRR abs/1911.11561 (2019) - 2018
- [j4]Hongfu Liu, Zhiqiang Tao, Yun Fu:
Partition Level Constrained Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2469-2483 (2018) - [c10]Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu:
Partial Multi-view Clustering via Consistent GAN. ICDM 2018: 1290-1295 - 2017
- [c9]Zhiqiang Tao, Hongfu Liu, Yun Fu:
Simultaneous Clustering and Ensemble. AAAI 2017: 1546-1552 - [c8]Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu:
Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. AAAI 2017: 4285-4291 - [c7]Sheng Li, Hongfu Liu, Zhiqiang Tao, Yun Fu:
Multi-view graph learning with adaptive label propagation. IEEE BigData 2017: 110-115 - [c6]Yu Kong, Zhiqiang Tao, Yun Fu:
Deep Sequential Context Networks for Action Prediction. CVPR 2017: 3662-3670 - [c5]Jun Li, Handong Zhao, Zhiqiang Tao, Yun Fu:
Large-scale Subspace Clustering by Fast Regression Coding. IJCAI 2017: 2138-2144 - [c4]Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu:
From Ensemble Clustering to Multi-View Clustering. IJCAI 2017: 2843-2849 - 2016
- [c3]Zhiqiang Tao, Hongfu Liu, Sheng Li, Yun Fu:
Robust Spectral Ensemble Clustering. CIKM 2016: 367-376 - 2015
- [j3]Changqing Zhang, Zhiqiang Tao, Xingxing Wei, Xiaochun Cao:
A flexible framework of adaptive method selection for image saliency detection. Pattern Recognit. Lett. 63: 66-70 (2015) - [j2]Xingxing Wei, Zhiqiang Tao, Changqing Zhang, Xiaochun Cao:
Structured Saliency Fusion Based on Dempster-Shafer Theory. IEEE Signal Process. Lett. 22(9): 1345-1349 (2015) - 2014
- [j1]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): 4175-4186 (2014) - [c2]Xiaochun Cao, Yupeng Cheng, Zhiqiang Tao, Huazhu Fu:
Co-Saliency Detection via Base Reconstruction. ACM Multimedia 2014: 997-1000 - 2013
- [c1]Xiaochun Cao, Zhiqiang Tao, Bao Zhang, Huazhu Fu, Xuewei Li:
Saliency map fusion based on rank-one constraint. ICME 2013: 1-6
Coauthor Index
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