Zhihui Li
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Zhihui Li – Papers

Selected Publications

2024

  1. Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng. Masked Distillation Advances Self-Supervised Transformer Architecture Search. Twelfth International Conference on Learning Representations (ICLR 2024).

2023

  1. Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Zhihui Li, Xiaodan Liang, Xiaojun Chang and Yaodong Yang. MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library. Journal of Machine Learning Research, 2023. Accepted.

  2. De Cheng, Xiaojian Huang, Nannan Wang, Lingfeng He, Zhihui Li, Xinbo Gao. Unsupervised Visible-Infrared Person ReID by Collaborative Learning with Neighbour-Guided Label Refinement. ACM Multimedia 2023.

  3. Mingfei Han, Yali Wang, Zhihui Li, Lina Yao, Xiaojun Chang and Yu Qiao. HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation. International Conference on Computer Vision (ICCV), 2023.

  4. Zhihui Li, Pengfei Xu, Xiaojun Chang, Luyao Yang, Yuanyuan Zhang, Lina Yao and Xiaojiang Chen. When Object Detection Meets Knowledge Distillation: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI:10.1109/TPAMI.2023.3257546, 2023.

  5. Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li*, Xiaojiang Chen, and Alex Hauptmann. A Comprehensive Survey of Scene Graphs: Generation and Application. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1):1-26, 2023.

  6. Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann. TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3848-3861 (2023)

  7. Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang. DS-Net: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4430-4446 (2023)

2022

  1. Caixia Yan, Xiaojun Chang, Zhihui Li, Weili Guan, Zongyuan Ge, Lei Zhu, and Qinghua Zheng. ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence 44(12): 9733-9740 (2022).

  2. Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Brij B. Gupta, Xiaojiang Chen, Xin Wang. A Survey of Deep Active Learning. ACM Comput. Surv. 54(9): 180:1-180:40 (2022).

  3. Di Yuan, Xiaojun Chang, Zhihui Li, Zhenyu He. Learning Adaptive Spatial-Temporal Context-Aware Correlation Filters for UAV Tracking. ACM Trans. Multim. Comput. Commun. Appl. 18(3): 70:1-70:18 (2022).

  4. Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li and Zhihui Li. Fuzzy K-Means Clustering With Discriminative Embedding. IEEE Transactions on Knowledge and Data Engineering, vol. 34, iss. 3, pp. 1221-1230, 2022.

2021

  1. Zhihui Li, and Lina Yao. Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021. [pdf]

  2. Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li and Xiaojun Chang. Dynamic Slimmable Network. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021.

  3. Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li*, Xiaojiang Chen and Xin Wang. A Comprehensive Survey of Neural Architecture Search:Challenges and Solutions. ACM Comput. Surv. 54(4): 76:1-76:34 (2021).

  4. Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie. Self-weighted Robust LDA for Multiclass Classification with Edge Classes. ACM Trans. Intell. Syst. Technol. 12(1): 4:1-4:19 (2021).

2020

  1. Zhihui Li, Lina Yao, Sen Wang, Salil Kanhere, Xue Li, and Huaxiang Zhang. Adaptive Two-Dimensional Embedded Image Clustering, The 34th AAAI Conference on Artificial Intelligence (AAAI-20), New York, New York, USA, 7 - 12 February, 2020.

  2. Beilei Wang, Yun Xiao, Zhihui Li, Xuanhong Wang, Xiaojiang Chen, and Dingyi Fang. Robust Self-Weighted Multi-View Projection Clustering, The 34th AAAI Conference on Artificial Intelligence (AAAI-20), New York, New York, USA, 7 - 12 February, 2020.

  3. Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge and Huaxiang Zhang. Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. KDD 2020.

  4. De Cheng, Zhihui Li*, Yihong Gong, and Dingwen Zhang. Fusion of Multiple Person Re-id Methods with Model and Data Aware Abilities. IEEE Transactions on Cybernetics, Vol. 50, No. 2, pp. 561-571, 2020.

  5. Xiaowei Zhao, Jun Guo, Feiping Nie, Ling Chen, Zhihui Li, and Huaxiang Zhang. Joint Principal Component and Discriminant Analysis for Dimensionality Reduction. IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no.2, pp. 433-444, 2020. [SJR Q1, CAS JCR Q1, Web of Science Q1]

  6. Haoxiang Wang, Zhihui Li, Yang Li, Gupta B.B., and Chang Choi. Visual saliency guided complex image retrieval. Pattern Recognition Letters, vol.130, pp. 64-72, 2020.

2019

  1. Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil Kanhere, and Huaxiang Zhang. Zero-Shot Object Detection with Textual Descriptions, The 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA, 27 January - 1 February, 2019.

  2. Yun Xiao, Pengzhen Ren, Zhihui Li*, Xiaojiang Chen, Xin Wang, and Dingyi Fang. RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace, The 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA, 27 January - 1 February, 2019.

  3. Zhihui Li, Wenhe Liu, Xiaojun Chang, Lina Yao, Mahesh Prakash, and Huaxiang Zhang. Domain-Aware Unsupervised Cross-Dataset Person Re-Identification, The 15th International Conference on Advanced Data Mining and Applications (ADMA-19), Dalian, China, 21-23 November, 2019. [Best Paper Award]

  4. Zhihui Li, Lina Yao, Xiaojun Chang, Kun Zhan, Jiande Sun, and Huaxiang Zhang. Zero-shot Event Detection via Event-Adaptive Concept Relevance Mining. Pattern Recognition, Vol. 88, pp. 595-603, 2019. [ERA A*, CCF B, CAS JCR Q2, Web of Science Q1]

  5. Lingling Zhang, Minnan Luo, Zhihui Li, Feiping Nie, Huaxiang Zhang, Jun Liu, and Qinghua Zheng. Large Scale Robust Semi-supervised Classification. IEEE Transactions on Cybernetics, vol. 49, iss. 3, pp. 907-917, 2019. [SJR Q1, CAS JCR Q1, Web of Science Q1]

  6. Xiaojun Chen, Wenya Sun, Bo Wang, Zhihui Li, Xizhao Wang, and Yunming Ye. Spectral Clustering of Customer Transaction Data With a Two-Level Subspace Weighting Method. IEEE Transactions on Cybernetics, vol. 49, no. 9, pp. 3230-3241, 2019. [SJR Q1， CAS JR Q1, Web of Science Q1]

2018

  1. Zhihui Li, Feiping Nie, Xiaojun Chang, Yi Yang, Chengqi Zhang, and Nicu Sebe. Dynamic Affinity Graph Construction for Spectral Clustering using Multiple Features. IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 12, pp. 6323-6332, 2018. [SJR Q1, CAS JCR Q1, Web of Science Q1]

  2. Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, and Min Xu. Multi-rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification. The 32nd AAAI Conference on Artifical Intelligence (AAAI-18), New Orleans, Lousiana, USA, 2 - 7 February, 2018. [CORE Rank A*, CCF Rank A]

  3. Zhihui Li, Feiping Nie, Xiaojun Chang, Zhigang Ma, and Yi Yang. Balanced Clustering via Exclusive Lasso: A Pragmatic Approach. The 32nd AAAI Conference on Artifical Intelligence (AAAI-18), New Orleans, Lousiana, USA, 2 - 7 February, 2018. [CORE Rank A*, CCF Rank A]

  4. Zhihui Li, Feiping Nie, Xiaojun Chang, Liqiang Nie, Huaxiang Zhang and Yi Yang. Rank-Constrained Spectral Clustering with Flexible Embedding. IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 12, pp. 6073-6082, 2018. [SJR Q1, CAS JCR Q1, Web of Science Q1]

  5. Forough R. Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bella Stantic, Lina Yao, and Guodong Long. Trace Ratio Optimization with Feature Correlation for Mining Multiclass Discriminant Analysis. The 32nd AAAI Conference on Artifical Intelligence (AAAI-18), New Orleans, Lousiana, USA, 2 - 7 February, 2018. [CORE Rank A*, CCF Rank A]

  6. Zhiqiang Zeng, Zhihui Li*, De Cheng, Huaxiang Zhang, Kun Zhan, and Yi Yang. Two-Stream Multi-Rate Recurrent Neural Network for Video-Based Pedestrian Re-Identification. IEEE Transactions on Industrial Informatics, vol. 14, no. 7, pp. 3179-3186, 2018. [SJR Q1, CAS JCR Q1, Web of Science Q1] [pdf]

  7. Xiaowei Xue, Feiping Nie, Zhihui Li, Sen Wang, Xue Li, and Min Yao. A Multi-View Learning Framework with A Linear Computational Cost. IEEE Transactions on Cybernetics, vol. 48, no. 8, pp. 2416-2425, 2018. [pdf] [ERA Rank A, CORE Rank A, SJR Q1, Web of Science Q1] [pdf]

  8. Liangchen Liu, Feiping Nie, Arnold Wiliem, Zhihui Li, Teng Zhang, and Brian C. Lovell. Multi-Modal Joint Clustering with Application for Unsupervised Attribute Discovery. IEEE Transactions on Image Processing, Vol. 27, Iss. 9, pp. 4345 - 4356, 2018. [SJR Q1, Web of Science Q1, CCF Rank A]

  9. Lei Zhu, Zi Huang, Zhihui Li, Liang Xie, and Heng Tao Shen. Exploring Auxiliary Context: Discrete Semantic Transfer Hashing for Scalable Image Retrieval. IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 11, pp. 5264-5276, 2018. [SJR Q1, CAS JCR Q1, Web of Science Q1]

  10. Xiaowei Zhao, Zhigang Ma, Zhi Li, and Zhihui Li. Joint Concept Correlation and Feature-Concept Relevance Learning for Multi-Label Classification. Neural Computation, vol. 30, Iss. 2, 2018. [ERA Rank A, CORE Rank A, SJR Q1, Web of Science Q2]

  11. Dan Shi, Lei Zhu, Zhiyong Cheng, Zhihui Li, and Huaxiang Zhang. Unsupervised Multi-View Feature Extraction with Dynamic Graph Learning. Accepted, Journal of Visual Communication and Image Representation, 2018.

2017

  1. Zhihui Li, Feiping Nie, Xiaojun Chang, and Yi Yang. Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis. IEEE Transactions on Knowledge and Data Engineering, Vol. 29, No. 10, pp. 2100-2110, 2017. [ERA Rank A, CORE Rank A, CCF Rank A, SJR Q1, Web of Science Q1] [pdf]

  2. Yan-Shuo Chang, Feiping Nie, Zhihui Li, Xiaojun Chang, and Heng Huang. Refined Spectral Clustering via Embedded Label Propagation. Neural Computation, Vol.29, No. 12, pp. 3381-3396, DOI:10.1162/necoa01022, 2017. [ERA Rank A, CORE Rank A, SJR Q1, Web of Science Q2]

  3. Jingjing Li, Ke Lu, Lei Zhu, and Zhihui Li. Locality-Constrained Transfer Coding for Heterogeneous Domain Adaptation. Australasian Database Conference 2017: 193-204. [pdf]

  4. Luyao Liu, Lei Zhu, and Zhihui Li. Learning Robust Graph Hashing for Efficient Similarity Search. Australasian Database Conference 2017: 110-122. [pdf]

  5. Huan Liu, Qinghua Zheng, Zhihui Li, Tao Qin, and Lei Zhu. An Efficient Multi-Feature SVM Solver for Complex Event Detection. Multimedia Tools and Applications, Vol. 77, Issue 3, pp. 3509-3532, 2017. [ERA Rank B, CORE Rank B, SJR Q1, Web of Science Q2]

  6. Caixia Yan, Minnan Luo, Huan Liu, Zhihui Li, and Qinghua Zheng. Top-k Multi-class SVM using Multiple Features. Information Sciences, vol.432, pp. 479-494, 2017. [ERA Rank B, CORE Rank B, SJR Q1, Web of Science Q1] [pdf]

Preprints