Jianping Shi  Executive R&D Director SenseTime Group Ltd Email: shijianping@sensetime.com

Biography

Currently I am an Executive R&D Director at SenseTime.

I have started my new career leading the R&D team to build ToC applications using LLM and agentic AI. Some of our products, such as 咔皮记账, are already on the market and have made a good impact. I am really excited about the rapid evolution of LLM-related technologies worldwide and enjoy the experience of building innovative solutions.

Before that, I led the autonomous driving research, development, and product team at SenseTime, which I built from scratch since 2017. You can find more about it in 商汤绝影 official website.

I received my Ph.D. degree from the Department of Computer Science and Engineering at the Chinese University of Hong Kong in 2015. My supervisor is Prof. Jiaya Jia. Before that, I received the B.Eng. degree from the Department of Computer Science and Technology at Zhejiang University in 2011, under the supervision of Prof. Zhihua Zhang. I am also a member of Chu Kochen Honors College, which selects around 200 best students out of 5000 freshmen.

I am recruiting self-motivated agentic AI builders. If you are interested, please send your CV directly to my email.

Honors & Awards

• Listed as「人工智能全球2000位最具影响力学者榜」and「人工智能全球女性学者」前100名学者 by AMiner.
• Listed as 福布斯中国科技女性50 in 2022.
• I won the 商汤奖 in 2021, which is the highest personal award in SenseTime with 100k RMB prize.
• I led team and won twice the 商汤团队奖 in 2022 and 2018 respectively, which is the highest team award in SenseTime with a million RMB prize.
• Serve as Area Chair for CVPR 2020, ICCV 2019, etc.
• Listed as 福布斯中国30位30岁以下精英榜 in 2019.
• Listed as MIT TR35中国榜单 (Innovators Under 35 China) by "MIT Technology Review" in 2018.
• Microsoft Research Asia Fellowship (10 awardees in Asia), 2013
• Hong Kong PhD Fellowship (114 candidates in Hong Kong), 2011-2015
• Google Hong Kong Anita Borg Scholarship (4 recipients in Hong Kong), 2013, 2014

Competitions

I have participated in numerous world-class computer vision and data mining competitions and won top awards. This experience has helped me develop expertise in implementing practical algorithms to solve real-world problems.

• Ranked #1 in COCO Challenge Object Detection track in 2018,
• Ranked #1 in COCO Challenge Instance Segmentation track, and #2 in Object Detection track in 2017,
• Ranked #1 in WAD Challenge Drivable Area task in 2018,
• Ranked #1 in DeepGlobe Land Cover Classification Challenge in 2018,
• Ranked #1 in LSUN'17 Challenge for both Instance and Semantic Segmentation tracks in 2017,
• Ranked #1 in Tusimple Lane Detection Challenge in 2017,
• Ranked #1 in DAVIS Challenge on Video Object Segmentation in 2017,
• Ranked #1 in ImageNet Scene Parsing Challenge in 2016,
• Ranked 6th (out of 561 teams) in KDD Cup - Author-Paper Identification Challenge (Track 1) in 2013.

Selected Publications

For the full publication, please refer to my Google Scholar

• Hybrid Task Cascade for Instance Segmentation,
  Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng,
  Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin.
  IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2019
  Key component for 1st place in COCO Detection Challenge 2018.
  

  [知乎] [Code]

• FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction,
  Shuyang Sun, Jiangmiao Pang, Jianping Shi, Shuai Yi, Wanli Ouyang.
  Neural Information Processing Systems (NIPS), 2018,
  Key component for 1st place in COCO Detection Challenge 2018.
  

  [Code]

• Path Aggregation Network for Instance Segmentation,
  Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, (Spotlight)
  Ranked 1st place in COCO Instance Segmentation, 2nd place in COCO Detection Challenge, 2017
  
• Pyramid Scene Parsing Network,
  Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017,
  Ranked 1st place in ImageNet Scene Parsing Challenge 2016
  

  [Project Page] [Paper] [Code] [Slides in ILSVRC2016]

• Hierarchical Image Saliency Detection on Extended CSSD,
  Jianping Shi, Qiong Yan, Li Xu, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
  

  [Project Page] [Paper] [Arxiv Version] [Dataset]

Misc

• I have completed one theoretical psychology course (简单心理Uni Seed) and finished a part-time hotline internship (简单心理热线实习).