My picture. Many thanks 王楠楠 for generating this picture.

Jianxin Wu (吴建鑫)

Professor (中文简介)
School of Artificial Intelligence
Nanjing University
Office: Room 1018, Computer Science Building

I am in the LAMDA group.

Email: For research related matters (paper, code, review, etc.): wujx2001 {AT}
Email: For teaching related matters (teaching, admission, hiring, etc.): wujx2001 {AT}
My email box will treat 126, 163, 189, QQ, Sina, Yeah email addresses as spam. Emails from these addresses will not be read by me.


Cover image Essentials of Pattern Recognition: An Accessible Approach is now available!

模式识别教材封面 《模式识别》教材中文版现已出版!


Ph. D. in College of Computing, Georgia Institute of Technology, 2009; Advisor Prof. Jim Rehg.
B.S. & M.S., 1999 & 2002, in Nanjing University, China


2021.12 -- present Professor, School of Artificial Intelligence, Nanjing University, China
2013.7 -- 2021.12 Professor, Department of Computer Science and Technology, Nanjing University, China
2009.8 -- 2013.7 Assistant professor, School of Computer Engineering, Nanyang Technological University, Singapore


Associate Editor IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 2020.09--
Pattern Recognition, 2017.1--
Program chair CVPR 2024
Tutorial chair CVPR 2023
Area chair/senior area chair ICCV 2015, CVPR 2017, AAAI 2019, CVPR 2020, ECCV 2020, CVPR 2021, IJCAI 2021 (SAC), CVPR 2023, ECCV 2024
SPC/AC AAAI 2016, AAAI 2017, (both years do not have the area chair rank), AAAI 2018, AAAI 2020, IJCAI 2013, IJCAI 2018, IJCAI 2019
Area chair ACCV 2012, PSIVT 2010, 2011, 2013, ICPR 2020
Publication chair ACCV 2014, PCM 2012
Finance chair ACML 2012


Most of my papers are available for download in this Publications page, and here is my Google Scholar Citations profile.
A list of the LAMDA group publications also include my papers.


2024年度最新课程正在进行, 课程主页:这里New!


Institute Starting Graduated Program First job/Currently
Guoqing Liu (刘国清) NTU, Singapore 2010.8 2013 Ph.D. Founder of Minieye (深圳佑驾)
Yu Zhang (张宇) NTU, Singapore 2010.8 2014.8 Ph.D. (after 2013.7 with Jianfei Cai; degree 2015.7) Southeast university (东南大学)
Hao Yang (杨昊) NTU, Singapore 2011.8 2015.8 Ph.D. (after 2013.7 with Jianfei Cai; degree 2016.7) Amazon
Yang Xiao (肖阳) NTU, Singapore 2012.3 2013.2 Postdoc Huazhong University of Science and Technology (华中科技大学)
Xiu-Shen Wei (魏秀参) NJU 2014.9 2018.6 Ph.D. Megvii/Face++ (旷视) / Currently at SEU (东南大学)
Bin-Bin Gao (高斌斌) NJU 2014.9 2018.6 Ph.D. Tencent (腾讯优图)
Jian-Hao Luo (罗建豪) NJU 2015.9 2020.6 Ph.D. Huawei (华为南研所)
Chen-Lin Zhang (张晨麟) NJU 2016.9 2021.12 Ph.D. 4paradigm (第四范式)
Guo-Hua Wang (王国华) NJU 2018.9 2023.6 Ph.D. Huawei (华为杭研所)
Yun-Hao Cao (曹云浩) NJU 2020.9/2018.9 in progress Ph.D./M.S. -
Hao Yu (余浩) NJU 2019.9 in progress Ph.D. -
Ke Zhu (朱可) NJU 2022.9/2020.9 in progress Ph.D/M.S. -
Jie Shao (邵杰) NJU 2022.9 in progress Ph.D. -
Ming-Hao Fu (付明浩) NJU 2023.9/2021.9 in progress Ph.D/M.S. -
Guo-Bing Zhou (周国兵) NJU 2013.9 2016.7 M.S. Huatai Securities (华泰证券)
Wang Zhou (周旺) NJU 2014.9 2017.7 M.S. Baidu (百度)
Chen-Wei Xie (谢晨伟) NJU 2015.9 2018.6 M.S. Alibaba (阿里巴巴)
Hong-Yu Zhou (周洪宇) NJU 2015.9 2018.6 M.S. Tencent (腾讯优图), currently PhD student @ HKU
Hao Zhang (张皓) NJU 2016.9 2019.9 M.S. Tencent (腾讯优图)
Xin-Xin Liu (刘鑫鑫) NJU 2017.9 2020.6 M.S. Huawei (华为海思)
Kun Yi (易坤) NJU 2017.9 2020.6 M.S. Tencent (腾讯)
Yong-Shun Zhang (张永顺) NJU 2019.9 2022.6 M.S. SEA/Shopee
Yi-Fan Ge (葛一帆) NJU 2019.9 2022.6 M.S. Jump Trading
Huuan-Yu Wang (王环宇) NJU 2019.9 2022.6 M.S. SEA/Shopee
Ying-Xiao Du (杜映潇) NJU 2020.9 2023.6 M.S. Horizon Robotics (地平线机器人)
Yin-Yin He (何银银) NJU 2020.9 2023.6 M.S. ByteDance (字节跳动)
Lin Sui (隋霖) NJU 2020.9 2023.6 M.S. 4paradigm (第四范式)
Yi-Fann Zhou (周逸帆) NJU 2020.9 2023.6 M.S. Jump Trading
Tian-Yu Liu (刘天宇) NJU 2021.9 in progress M.S. -
Han-Xiao Zhang (张含笑) NJU 2022.9 in progress M.S. -
Ning-Yuan Tang (唐宁远) NJU 2022.9 in progress M.S. -
Jun-Jie Zhou (周俊杰) NJU 2023.9 in progress M.S. -


I am mainly interested in computer vision (CV) and machine learning (ML), especially when the computing resources (CPU, GPU, running time, memory, model size, etc.) or data resources (size and distribution of training set, quality of labels and annotations, etc.) are limited. Deep learning (DL) with resource constraints are my current focus.

Pages last modified since: Tue., Feb. 6, 2024.