Dr. Ping LI

We are recruiting Assistant Prof., Postdoc, Ph.D.  and Master students in Research to start soon.  Welcome to join us. :-)

Research Interests

Machine learning, Computer vision, Data mining, Multimedia computing

Selected Publications

• Ping Li, Jianan Ni, Bo Pang. Temporal consistency constrained transferable adversarial attacks with background mixup for action recognition. In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, 2025. (CCF-A, Top-tier) 

• Ping Li, Xingchao Ye, Lingfeng He. Coarse-to-fine hypergraph network for spatiotemporal action detection.  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2025.   (IF=8.4, 23')  

• Ping Li*, Tao Wang, Xinkui Zhao, Xianghua Xu, Mingli Song. Pseudo-labeling with keyword refining for few-supervised video captioning. Pattern Recognition (PR), 2025. (IF=7.5, 23') [Github]

• Ping Li, Junjie Chen, Chen Tang. Bridging knowledge distillation gap for few-sample unsupervised semantic segmentation. Information Sciences (INS). 2024.   (IF=8.1, 23') 

• Ping Li, Yu Zhang, Li Yuan, Jian Zhao, Xianghua Xu, Xiaoqin Zhang. Adversarial attacks on video object segmentation with hard region discovery.  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2024.   (IF=8.4, 23')  [Github]

• Ping Li, Yu Zhang, Li Yuan, Xianghua Xu. Fully transformer-equipped architecture for end-to-end referring video object segmentation.  Information Processing and Management (IPM). 2024.   (IF=8.6, 23')  [Github]

• Ping Li, Yu Zhang, Li Yuan, Huaxin Xiao, Binbin Lin, Xianghua Xu. Efficient long-short temporal attention network for unsupervised video object segmentation. Pattern Recognition (PR), 2024. (IF=8.518, 22') [Github]

• Ping Li, Chenhan Zhang, Xianghua Xu. Fast fourier inception networks for occluded video prediction. IEEE Transactions on Multimedia (TMM), 2024. (IF=8.182, 22') [Github]

• Ping Li, Jiachen Cao, Li Yuan, Qinghao Ye, Xianghua Xu,. Truncated attention-aware proposal networks with multi-scale dilation for temporal action detection. Pattern Recognition (PR), 2023. (IF=8.518, 22')

• Ping Li, Pan Zhang, Tao Wang, Huaxin Xiao. Time-frequency recurrent transformer with diversity constraint for dense video captioning.  Information Processing and Management (IPM). 2023.   (IF=8.6, 22') 

• Ping Li, Jiachen Cao, Xingchao Ye. Prototype contrastive learning for point-supervised temporal action detection. Expert Systems With Applications (ESWA), 2023. (IF=8.665, 22') 

• Ping Li, Guopan Zhao,  Jiajun Chen, Xianghua Xu. Deep metric learning via group channel-wise ensemble. Knowledge-Based Systems (KBS), 2023. (IF=8.8, 23')

• Ping Li, Guopan Zhao, Xianghua Xu. Coarse-to-fine few-shot classification with deep metric learning. Information Sciences (INS), 2022. (IF=8.233, 22')

• Ping Li, Chao Tang, Xianghua Xu. Video summarization with graph convolutional attention network. Frontiers of Information Technology & Electronic Engineering (FITEE), 2021. (IF=3.0, 23', National Outstanding Journal)

• Qinghao Ye, Xiyue Shen, Yuan Gao, Zirui Wang, Qi Bi, Ping Li, Guang Yang. Temporal cue guided video highlight detection with low-rank audio-visual fusion. In Proceedings of IEEE International Conference on Computer Vision (ICCV), Virtual, 2021.  (CCF-A, Top-tier) 

• Ping Li, Guopan Zhao, Huaxin Xiao. Adaptive deep metric ensemble learning with consensus. In Proceedings of IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, 2021. (CCF-B, Oral)

• Ping Li, Qinghao Ye, Luming Zhang, Li Yuan, Xianghua Xu, Ling Shao. Exploring global diverse attention via pairwise temporal relation for video summarization. Pattern Recognition (PR), 2021:107677. (IF=8.518, 22')

• Li Yuan, Francis Tay, Ping Li, Li Zhou, Jiashi Feng. Cycle-SUM: Cycle-consistent adversarial LSTM networks for unsupervised video summarization. In Proceedings of the 23-rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, 2019:9143-9150. (CCF-A, Top-tier) 

• Ping Li, Jiashi Feng, Xiaojie Jin, Luming Zhang, Xianghua Xu, Shuicheng Yan. Online robust low-rank tensor modeling for streaming data analysis.  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019. (SCI R1, IF=11.863, 19', a long version of IJCAI'17 <CCF-A, Top-tier> paper)

• Ping Li, Jun Yu, Meng Wang, Luming Zhang, Deng Cai, Xuelong Li. Constrained low-rank learning using least squares based regularization. IEEE Transactions on Cybernetics (TCYB), 2017. (SCI R1, IF=11.448, 20')

• Ping Li, Jiajun Bu, Chun Chen, Zhanying He, Deng Cai. Relational multi-manifold co-clustering. IEEE Transactions on Cybernetics (TCYB), 2013. (SCI R1, IF=11.448, 20')

• Ping Li, Hong Li, Min Wu. Multi-label ensemble based on variable pairwise constraint projection. Information Sciences (INS), 2013. (IF=6.795, 20')

• Ping Li, Jiajun Bu, Yi Yang, Rongrong Ji, Chun Chen, Deng Cai. Discriminative orthogonal non-negative matrix factorization with flexibility for data representation. Expert Systems With Applications (ESWA), 2014. (IF=6.954, 20') 

Research Projects

• Spatiotemporal action detection for video perception.

      Zhejiang Provincial Science Fund for Distinguished Young Scholars (Grant No. LR23F020002), 2023.1-2025.12. (PI)

• Pixel-wise video analysis with spatiotemporal modeling. 

     Zhejiang Provincial Natural Science Foundation of China (Grant No. LY22F020012), 2022.1-2024.12. (PI)

• Video event driven deep sequence learning and multimodal spatiotemporal attention fusion.

      National Natural Science Foundation of China (Grant No. 61872122), 2019.1-2022.12. (PI)

• Video event detection based on deep multi-feature data representation in multi-source visual scene.

     National Natural Science Foundation of China (Grant No. 61502131), 2016.1-2018.12. (PI)

• Robust data representation based on constrained low-rank learning. 

     Zhejiang Provincial Natural Science Foundation of China (Grant No. LQ15F020012), 2015.1-2017.12. (PI)

• Short video event detection via spatial-temporal deep networks. 

     Open Project of State Key Laboratory of Novel Software Technology in China (Grant No. KFKT2017B13), 2017.6-2019.5. (PI)

• Deep ensemble metric learning and few-shot classification.

    Open Project of State Key Laboratory of Novel Software Technology in China (Grant No. KFKT2021B09), 2021.6-2023.5. (PI)

• Convolutional sequence memory and attention mechanism for visual event understanding. 

     Zhejiang Provincial Natural Science Foundation of China (Grant No. LY18F020015), 2018.1-2020.12. (PI)

*Notes: 

For researchers: If you share common interests in these areas, maybe we can have a discussion via email (patriclouis.lee@gmail.com).

For students: If you have interests in the projects, please contact me via email (lpcs@hdu.edu.cn) with your resume. Highly motivated students are always welcome :-) 

Recent News

• One paper on transferable attack for action recognition was accepted by  IJCAI'25 (CCF-A). (2025.04)

• One paper on spatiotemporal action detection was accepted by TCSVT. (2025.04)

• One paper on  few-supervised video captioning was accepted by PR. (2024.11)

• Prof. Ping Li was elected as  an Executive Member of Specialized Committee for Multimedia Technology, CCF. (2024.07)

• Prof. Ping Li was elected as IEEE Senior Member. (2024.06)

• One paper on RGB-T semantic segmentation was accepted by NEUCOM. (2024.05)

• One paper on few-sample unsupervised semantic segmentation was accepted by INS. (2024.05)

• Prof. Ping Li was elected as CCF Senior Member. (2024.04)

• One paper on adversarial video object segmentation was accepted by TCSVT. (2023.12)

• One paper on referring video object segmentation was accepted by IPM. (2023.10)

• One paper on unsupervised video object segmentation was accepted by PR. (2023.10)

• One paper on video prediction was accepted by TMM. (2023.08)

• One paper on temporal action detection was accepted by PR. (2023.05)

• Got the Zhejiang Provincial Science Fund for Distinguished Young Scholars. (2022.12)

• One paper about dense video captioning was accepted by IPM. (2022.11)

• One paper about deep metric learning was accepted by KBS. (2022.10)

• One paper about temporal action detection was accepted by ESWA. (2022.10)

• One paper about few-shot classification was accepted by INS. (2022.08)

• One paper (corresponding) about highlight detection was accepted by ICCV'21. (2021.07)

• Five patents were  granted/licensed. (2021.06)

• One group of undergraduates (Led by SUN Xiaen) has been awarded the Third Prize in the Challenge Cup competition of Zhejiang Province. (2021.05)

• Four patents were granted/licensed. (2021.04)

• Two papers including one oral were accepted by ICME'21. (2021.03)

• One paper was accepted by FITEE. (2021.01)

• One paper was accepted by NEUCOM. (2020.12)

• One paper was accepted by PR. (2020.09)