Zhengkai Jiang

Applied Researcher

I am currently a Researcher at Tencent Youtu Lab. Previously, I obtained the master's degree at 2020 from National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. I received the bachelor's degree at 2017 from the Department of Automation, Northeastern University with honors.

Research interest

I am broadly interested in research on the representation and adaptation of artificial intelligence. I believe AI in the future should be reasonable, learn with little supervision, and learn continuously over space and time. I work with computer vision, machine learning, and optimization.


Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation
Zhengkai Jiang, Yuxi Li, Ceyuan Yang, Peng Gao, Yabiao Wang, Ying Tai, Chengjie Wang
ECCV, 2022
paper / code
DIRL: Domain-invariant representation learning for generalizable semantic segmentation
Qi Xu, Liang Yao, Zhengkai Jiang, Guannan Jiang, Wenqing Chu, Wenhui Han, Wei Zhang, Chengjie Wang, Ying Tai
AAAI, Oral, 2022
Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework
Qingyu Song, Changan Wang, Zhengkai Jiang, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yang Wu
ICCV, Oral, 2021
paper / code
Rethinking Learnable Tree Filter for Generic Feature Transform
Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Xiangyu Zhang, Hongbin Sun, Jian Sun, Nanning Zheng
NeurIPS, 2020
paper / code
Fine-Grained Dynamic Head for Object Detection
Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng
NeurIPS, 2020
paper / code
Learning Where to Focus for Efficient Video Object Detection
Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Peng Gao, Qian Zhang, Shiming Xiang, Chunhong Pan
ECCV, 2020
project page / paper / code
Dynamic Fusion with Intra- and Inter-modality Attention Flow for Visual Question Answering
Peng Gao, Zhengkai Jiang, Haoxuan You, Pan Lu, Steven Hoi, Xiaogang Wang, Hongsheng Li
CVPR, Oral, 2019
Video Object Detection with Locally-Weightd Deformable Neighboors
Zhengkai Jiang, Peng Gao, Chaoxu Guo, Qian Zhang, Shiming Xiang, Chunhong Pan
AAAI, 2019


Conference Reviewer:

  • European Conference on Computer Vision (ECCV), 2022
  • International Conference on Machine Learning (ICML), 2022
  • International Conference on Learning Representations (ICLR), 2022, 2023
  • Conference on Neural Information Processing Systems (NeurIPS), 2021, 2022
  • International Conference on Computer Vision (ICCV), 2021
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2022
  • AAAI Conference on Artificial Intelligence (AAAI), 2021
  • Journal Reviewer:

  • International Journal of Computer Vision (IJCV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCVST)
  • Honor

  • 1st of the Objects 365 Challenge, 2020
  • 1st of the NuScenes 3D Detection of CVPR WAD workshop, 2019
  • 1st of the Chinese Mathematics Competitions (1/6000+ in Liaoning Province), 2015, 2016
  • National Scholarship (Top 0.2% students in China), 2014, 2015, 2016
  • Contact

    You are very welcome to contact me. I typically respond within a few days. I can be contacted directly at kaikaijiang.jzk [at] gmail .com