Name：Junliang XING
Professor
Email：jlxing@tsinghua.edu.cn
Homepage：https://pi.cs.tsinghua.edu.cn/people/#faculty
Education Background：
2003.09-2007.07 Bachelor of Computer Science and Technology Xi'an Jiaotong University
2003.09-2007.07 Bachelor of Mathematics and Applied Mathematics (Dual Degree) Xi'an Jiaotong University
2007.09-2012.07 Ph.D. in Department of Computer Science and Technology Tsinghua University
Work Experience：
2012.07-2015.10 Assistant Researcher National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
- 2012.12-2013.11 Visiting Researcher, National University of Singapore
- 2015.04-2015.10 Visiting Professor, Microsoft Research Asia
2015.11-2018.10 Associate Researcher National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
2018.11-2022.01 Researcher National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
2022.02~now: Professor, Department of Computer Science and Technology, Tsinghua University
Research Fields：Computer Vision, Computer Game, Human-Computer Interaction Learning
Research Overview：My research primarily centers on intelligent perception and decision-making. In the realm of intelligent perception, my initial work concentrated on tasks such as visual target detection, registration, tracking, segmentation, and recognition under unconstrained conditions. In recent years, I've delved into the integration of multimodal information for complex situational perception and analysis.
In the field of intelligent decision-making, I've crafted a research trajectory in game interactive learning. This involves amalgamating traditional game theory methods for problem representation modeling with cutting-edge machine learning algorithms for approximating solutions. Over 70 of my research papers have been published in international conferences and journals, accumulating over 17,000 Google Scholar citations. Notably, the algorithm for human attribute relationship perception received the Best Paper Award at ACM Multimedia 2013, the anchor-free single-stage online multi-object tracking algorithm secured the Best Paper Award at PRCV 2020, and the AlphaHoldem algorithm for large-scale imperfect information games was honored with the Distinguished Paper Award at AAAI 2022.
The intelligent perception and decision-making algorithms I've developed have garnered recognition in over ten significant technical competitions both domestically and internationally. These algorithms have been validated and successfully applied in large-scale practical scenarios, showcasing their efficacy.
Teaching Courses：
Computer Vision： Tsinghua University, graduate course, 48 credits, since spring semester 2024
Programming Fundamentals： Tsinghua University, undergraduate course, 48 credits, since fall semester 2023.
Game Theory： University of Chinese Academy of Sciences, undergraduate course, 20 credits, spring semester 2024.
Principles and Applications of Computational Game Theory： University of Chinese Academy of Sciences, graduate course, 40 credits, fall semester 2019 to fall semester 2023.
Game Theory： University of Chinese Academy of Sciences, graduate course, 20 credits, spring semester 2017 to spring semester 2019.
Publications：
Selected Journal Papers（* indicates the corresponding author, # indicates a co-first author）：
[1] Junliang Xing, Zhiheng Niu, Junshi Huang, Weiming Hu, Xi Zhou, and Shuicheng Yan. Towards Robust and Accurate Multi-view and Partially-occluded Face Alignment. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 40, no. 4, pp. 987-1001, 2018.
[2] Junliang Xing, Weiming Hu, Haizhou Ai, and Shuicheng Yan. FatRegion: A Fast, Adaptive, Tree-structured Region Extraction Approach. IEEE Transactions on Circuits, System and Video Technology (TCSVT), vol. 28, no. 3, pp. 601-615, 2018.
[3] Junliang Xing, Kai Li, Weiming Hu, Chunfeng Yuan, and Haibin Ling. Diagnosing Deep Learning Models for High Accuracy Age Estimation from A Single Image. Pattern Recognition (PR), vol. 66, pp. 95-105, 2017.
[4] Junliang Xing, Haizhou Ai, Liwei Liu, and Shihong Lao, Multiple Players Tracking in Sports Video: A Dual-Mode Two-Way Bayesian Inference Approach with Progressive Observation Modeling, IEEE Transactions on Image Processing (TIP), vol. 20, no. 6, pp. 1652-67, 2011.
[5] Wenhan Luo, Junliang Xing*, Anton Milan, Xiaoqin Zhang, Wei Liu, Tae-Kyun Kim. Multiple Object Tracking: A Literature Review. Artificial Intelligence (AI), vol. 293, pp. 1–23, 2021.
[6] Xiaoshu Shao#, Junliang Xing#, Jiangjing Lv, Xiangdong Zhou, Yu Shi, Steve Maybank. Robust Face Alignment via Deep Progressive Reinitialization and Adaptive Error-driven Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 10.1109/TPAMI.2021.3073593, 2021.
[7] Jian Zhao, Junliang Xing*, Lin Xiong, Shuicheng Yan, Jiashi Feng. Recognizing Profile Faces by Imagining Frontal View. International Journal of Computer Vision (IJCV), vol. 128, pp. 460–478, 2020.
Selected Conference Papers（* indicates the corresponding author, # indicates a co-first author）：
[1] Junliang Xing, Zhiheng Niu, Junshi Huang, Weiming Hu, Shuicheng Yan. Towards Multi-view and Partially-occluded Face Alignment. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
[2] Junliang Xing, Jin Gao, Bin Li, Weiming Hu, Shuicheng Yan. Robust Object Tracking with Online Multi-lifespan Dictionary Learning. In IEEE International Conference on Computer Vision (ICCV), 2013.
[3] Junliang Xing, Haizhou Ai and Shihong Lao, Multi-Object Tracking through Occlusions by Local Tracklets Filtering and Global Tracklets Association with Detection Responses. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
[4] Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, and Junliang Xing*. AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker from End-to-End Reinforcement Learning. In AAAI Annual Conference on Artificial Intelligence (AAAI), 2022.（Distinguished Paper Award）
[5] Hang Xu, Kai Li, Haobo Fu, Qiang Fu, and Junliang Xing*. AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms. In AAAI Annual Conference on Artificial Intelligence (AAAI), 2022.
[6] Yongxin Kang, Enmin Zhao, Kai Li, and Junliang Xing*. Exploration via State Influence Modeling. In AAAI Annual Conference on Artificial Intelligence (AAAI), 2021.
[7] Peixi Peng#, Junliang Xing#*, and Lili Cao. Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations. In International Joint Conferences on Artificial Intelligence (IJCAI), 2020.
[8] Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, and Junliang Xing*. Potential Driven Reinforcement Learning for Hard Exploration Tasks. In International Joint Conferences on Artificial Intelligence (IJCAI), 2020.
[9] Zongwei Zhou, Yangxi Li, Jin Gao, Junliang Xing, Liang Li, and Weiming Hu. Anchor-Free One-Stage Online Multi-object Tracking. In Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2020.（Best Paper Award）
[10] Luoqi Liu, Hui Xu, Junliang Xing, Si Liu, Xi Zhou, Shuicheng Yan. “Wow! You Are So Beautiful Today!” In ACM International Conference on Multimedia (ACM MM), 2013.（Best Paper Award）
