庄连生




Email: lszhuang@ustc.edu.cn

个人主页:http://staff.ustc.edu.cn/~lszhuang




主要研究方向计算机视觉、知识图谱和认知推理、机器博弈和强化学习


主要讲授课程算法分析与设计


代表性论文

[1] Junshan Hu, Chaoxu Guo, Liansheng Zhuangetc. “Estimation of Reliable Proposal Quality ofr Temporal Action Detection”, ACM Multimedia, 2022.

[2] Minghong Yao, Liansheng Zhuang, Shafei Wang, Houqiang Li, “PMIVec: A Word Embedding Model Guided by Point-wise Mutual Information Criterion”, Multimedia Systems, 2022.

[3] Yukun Zuo, Hantan Yao, Liansheng Zhuang , Changsheng Xu,“Seek Common Ground While Reserving Differences: A Model-Agnostic Module for Noisy Domain Adaptation”IEEE Transactions on Multimedia (TMM), 2021

[4] Yukun Zuo, Hantan Yao, Liansheng Zhuang, Changsheng Xu,”Margin-based Adversarial Joint Alignment Domain Adaptation”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021

[5] Xiao Long, Minghong Yao, Liansheng Zhuang, Houqiang Li, Shafei Wang,”Path Ranking Model for Entity Prediction”, IEEE International Conference on Multimedia and Expo (ICME 2021), Shenzhen, China, July 5-9, 2021

[6] Xin Wen, Zheng-Jun Zha, Zilei Wang, Liansheng Zhuang, Houqiang Li,” CCNet: Cluster-Coordinated Net for Learning Multi-agent Communication Protocols with Reinforcement Learning”, Proceedings of The 10th Asian Conference on Machine Learning (ACML 2018), Beijing, China, November 14-16, 2018: 582-597

[7] Xiaoju Zheng, Zheng-Jun Zha, Liansheng Zhuang, “A Feature-Adaptive Semi-Supervised Framework for Co-saliency Detection”, 2018 ACM Multimedia Conference on Multimedia Conference (MM 2018), Seoul, Republic of Korea, October 22-26, 2018: 959-966

[8] Liansheng Zhuang, Zihan Zhou, Shenghua Gao, Jingwen Yin, Zhouchen Lin, Yi Ma,” Label Information Guided Graph Construction for Semi-supervised Learning”, IEEE Transactions on Image Processing (TIP), Vol.26, No.9, Sept. 2017:4182-4192.

[9] Jingjing Wang, Nenghai Yu, Feng Zhu, Liansheng Zhuang,” Multi-level visual tracking with hierarchical tree structural constraint”, Neurocomputing, Vol.202, August 2016:1-11.

[10] Liansheng Zhuang, Jingjing Wang, Zhouchen Lin, Allen Y. Yang, Yi Ma, “Locality-Preserving Low-Rank Representation for Graph Construction from Nonlinear Manifolds”, Neurocomputing, Vol.175, January 2016:715-722;

[11] Liansheng ZHUANG, Shenghua GAO, Jinhui TANG, Jingjing WANG, Zhouchen LIN, Yi MA, Nenghai YU, “Constructing a Non-Negative Low-Rank and Sparse Graph with Data-Adaptive Features”, IEEE Transactions on Image Processing (TIP), Vol.24, No.11, November 2015:3717-3727;

[12] Liansheng ZHUANG, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, Yi Ma, “Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment”, International Journal of Computer Vision (IJCV), Vol.114, 2015:272-287.

[13] Shenghua Gao, Kui Jia, Liansheng Zhuang, Yi Ma, “Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition”, International Journal of Computer Vision (IJCV), Vol.111, 2015:365-383;

[14] Liansheng ZHUANG, Allen Yang, S. Shankar Sastry, Zihan Zhou, Yi Ma, “Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer”, in Proceedings of CVPR 2013, 2013;

[15] Liansheng ZHUANG, Haoyuan Gao, Zhouchen LIN, Yi MA, Nenghai YU,” Non-negative Low Rank and Sparse Graph for Semi-supervised Learning”, in Proceedings of CVPR 2012, 2012;