I am an associate professor at Laboratory of Media Computing Hefei University of Technology (HFUT) under Prof. Meng Wang and Prof. Richang Hong. I received the B.S. degree from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2015, and the Ph.D. degree from the University of Science and Technology of China, Hefei, China, under the guidance of Prof. Rujing Wang in 2020. I was a Postdoctoral Researcher with Shanghai Jiao Tong University, China, working under Prof. Cewu Lu, from 2020 to 2022. I published over 40 SCI and conference papers including CVPR, TIP, TII, ICRA, ACMMM, AAAI and BMVC. His co-aurhors include Prof. Rujing Wang, Prof. Cewu Lu, Prof. Meng Wang, Prof. Richang Hong. I host one National Natural Science Fundation of China (Youth Program) and one Anhui Provincial Natural Science Foundation (Youth Program). My research interests fall mainly in Computer Vision, Deep Learning, 6D Pose Estimation and Embodied AI.
@inproceedings{zhang2025gapt,title={GaPT-DAR: Category-level Garments Pose Tracking via Integrated 2D Deformation and 3D Reconstruction},author={Zhang, Li and Xu, Mingliang and Wang, Jianan and Yu, Qiaojun and Yang, Lixin and Li, Yonglu and Lu, Cewu and Wang, Rujing and Liu, Liu},booktitle={IEEE Conference on Computer Vision and Pattern Recognition},pages={22638--22647},year={2025},doi={10.1109/CVPR52734.2025.02108},}
R2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy
Li Zhang, Haonan Jiang, Yukang Huo, and 5 more authors
In the AAAI Conference on Artificial Intelligence, 2025
@inproceedings{zhang2025r,title={R2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy},author={Zhang, Li and Jiang, Haonan and Huo, Yukang and Zhong, Yan and Wang, Jianan and Wang, Xue and Wang, Rujing and Liu, Liu},booktitle={the AAAI Conference on Artificial Intelligence},volume={39},number={9},pages={9985--9993},year={2025},doi={10.1609/aaai.v39i9.33083},}
Rethinking Image Forgery Detection and Localization via Regression Perspective
Li Zhang, Dong Li, Yan Zhong, and 5 more authors
IEEE Transactions on Emerging Topics in Computational Intelligence, 2025
@article{zhang2025rethinking,author={Zhang, Li and Li, Dong and Zhong, Yan and Zhu, Jiaying and Wang, Rujing and Wu, Xingyu and Wang, Xue and Liu, Liu},journal={IEEE Transactions on Emerging Topics in Computational Intelligence},title={Rethinking Image Forgery Detection and Localization via Regression Perspective},year={2025},volume={},number={},pages={1-13},doi={10.1109/TETCI.2025.3543837},}
EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation
Xinyi Yu, Haonan Jiang, Li Zhang, and 3 more authors
In Conference on Neural Information Processing Systems, 2025
@inproceedings{yuefficientcaper,title={EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation},author={Yu, Xinyi and Jiang, Haonan and Zhang, Li and Wu, Lin Yuanbo and Ou, Linlin and Liu, Liu},booktitle={Conference on Neural Information Processing Systems},year={2025},}
Rethinking 3D Convolution in lp $-norm Space
Li Zhang, Yan Zhong, Jianan Wang, and 3 more authors
In Conference on Neural Information Processing Systems, 2025
@inproceedings{zhangrethinking,title={Rethinking 3D Convolution in lp $-norm Space},author={Zhang, Li and Zhong, Yan and Wang, Jianan and Min, Zhe and Liu, Liu and others},booktitle={Conference on Neural Information Processing Systems},year={2025},}
U-COPE: Taking a Further Step to Universal 9D Category-Level Object Pose Estimation
Li Zhang, Weiqing Meng, Yan Zhong, and 6 more authors
@inproceedings{zhang2025u,title={U-COPE: Taking a Further Step to Universal 9D Category-Level Object Pose Estimation},author={Zhang, Li and Meng, Weiqing and Zhong, Yan and Kong, Bin and Xu, Mingliang and Du, Jianming and Wang, Xue and Wang, Rujing and Liu, Liu},booktitle={European Conference on Computer Vision},pages={254--270},year={2025},organization={Springer},doi={10.1007/978-3-031-72684-2_15},}
KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking
Liu Liu, Anran Huang, Qi Wu, and 3 more authors
In the AAAI Conference on Artificial Intelligence, 2024
@inproceedings{liu2024kpa,title={KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking},author={Liu, Liu and Huang, Anran and Wu, Qi and Guo, Dan and Yang, Xun and Wang, Meng},booktitle={the AAAI Conference on Artificial Intelligence},volume={38},number={4},pages={3684--3692},year={2024},doi={10.1609/aaai.v38i4.28158},}
Category-level articulated object 9d pose estimation via reinforcement learning
Liu Liu, Jianming Du, Hao Wu, and 4 more authors
In Proceedings of the 31st ACM International Conference on Multimedia, 2023
@inproceedings{liu2023category,title={Category-level articulated object 9d pose estimation via reinforcement learning},author={Liu, Liu and Du, Jianming and Wu, Hao and Yang, Xun and Liu, Zhenguang and Hong, Richang and Wang, Meng},booktitle={Proceedings of the 31st ACM International Conference on Multimedia},pages={728--736},year={2023},doi={10.1145/3581783.3611852},}
Akb-48: A real-world articulated object knowledge base
Liu Liu, Wenqiang Xu, Haoyuan Fu, and 4 more authors
In IEEE Conference on Computer Vision and Pattern Recognition, 2022
@inproceedings{liu2022akb,title={Akb-48: A real-world articulated object knowledge base},author={Liu, Liu and Xu, Wenqiang and Fu, Haoyuan and Qian, Sucheng and Yu, Qiaojun and Han, Yang and Lu, Cewu},booktitle={IEEE Conference on Computer Vision and Pattern Recognition},pages={14809--14818},year={2022},doi={10.1109/CVPR52688.2022.01439},}
Oakink: A large-scale knowledge repository for understanding hand-object interaction
Lixin Yang, Kailin Li, Xinyu Zhan, and 4 more authors
In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2022
@inproceedings{yang2022oakink,title={Oakink: A large-scale knowledge repository for understanding hand-object interaction},author={Yang, Lixin and Li, Kailin and Zhan, Xinyu and Wu, Fei and Xu, Anran and Liu, Liu and Lu, Cewu},booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},pages={20953--20962},year={2022},doi={10.1109/CVPR52688.2022.02028},}
@article{liu2022toward,title={Toward real-world category-level articulation pose estimation},author={Liu, Liu and Xue, Han and Xu, Wenqiang and Fu, Haoyuan and Lu, Cewu},journal={IEEE Transactions on Image Processing},volume={31},pages={1072--1083},publisher={IEEE},year={2022},doi={10.1109/TIP.2021.3138644},}
You can even add a little note about which of these is the best way to reach you.
