Wayne Zhang

I am an Executive Research Director of SenseTime, with 18 years of research experience spanning elite academia and high-stakes industry. My work focuses on Large Language Models, Large Multimodal Models and Reasoning. I have led the development of SenseNova Large Language Models and industrial AI solutions, while maintaining a high-impact academic presence with over 9,000 citations. Email:

Highlights

• Leadership: Team Lead (LLM & Reasoning; previously Emerging Innovation AI)

• Citations: 9,000+ (h-index: 39)

• Open Source: MMOCR (4,700+ Stars; Project Initiator)

• Competition: World Rank #6 on Kaggle (Top 0.01%)

Research & Industry Leadership

• Foundation Models & LLMs: Led a dedicated research team in the end-to-end development of SenseNova LLM. Managed the full lifecycle from data curation to alignment.

• Industrial AI Transformation: Directed a multi-disciplinary team to deploy AI applications across New Energy, Grid and Remote Sensing. Translated complex research into production-ready systems with measurable ROI.

• Quantitative Finance: Served as a Quant Researcher at a boutique trading firm, applying advanced statistical learning to high-frequency market data.

Selected Publications

• Haoqi Wang, Zhizhong Li, Litong Feng, Wayne Zhang.
  ViM: Out-of-distribution with virtual-logit matching.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  (Citations: 630; featured in courses such as Intro to ML Safety, Recent Advances in Deep Learning)

• Lei Zhu, Xinjiang Wang, Zhanghan Ke, Wayne Zhang, Rynson Lau.
  BiFormer: Vision transformer with bi-level routing attention.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  (Citations: 1350)

• Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang.
  Consistent-Teacher: Towards reducing inconsistent pseudo-targets in semi-supervised object detection.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  (Highlight paper, top 2.6%; SenseTime Best Paper Runner-Up of Year 2023)

• Zhanghui Kuang, Hongbin Sun, Zhizhong Li, Xiaoyu Yue, Tsui Hin Lin, Jianyong Chen, Huaqiang Wei, Yiqin Zhu, Tong Gao, Wenwei Zhang, Kai Chen, Wayne Zhang, Dahua Lin.
  MMOCR: A comprehensive toolbox for text detection, recognition and understanding.
  ACM Multimedia (MM) Open Source Software Competition, 2021.
  (4,700 stars on GitHub)

• Wei Zhang, Xiaogang Wang, Deli Zhao, Xiaoou Tang.
  Graph degree linkage: Agglomerative clustering on a directed graph.
  European Conference on Computer Vision (ECCV), 2012. (Citations: 220)

Academic Services

• PhD co-supervisor, College of Computing and Data Science, Nanyang Technological University, Singapore, 01/2023 – 01/2026

• Faculty Search Committee member, Qing Yuan Research Institute, Shanghai Jiao Tong University, Shanghai, China, 10/2023 – 07/2025

• Adjunct Faculty, Qing Yuan Research Institute, Shanghai Jiao Tong University, Shanghai, China, 07/2020 – 06/2023

• Advisory Committee member, CUHK Jockey Club AI for the Future Project, 08/2019 – 07/2022

• EXCO Member, Artificial Intelligence Specialist Group, Hong Kong Computer Society, 01/2018 – 12/2019

Selected Honors

• Consecutively listed in the World’s Top 2% Most-cited Scientists with single-year citation impact in the rankings by Stanford University, 2023/2024/2025

• # 1 in China in 2024 Annual Chinese Large Model Benchmark Evaluation, and Gold medal three times in Chinese Large Model Benchmark Evaluation by SuperCLUE, 2024 - 2025

• SenseTime Team Award (the company’s highest honor), Co-Leader, 2024

• SenseTime Originality Award (company’s highest honor) Finalist, 2021

• First runner-up in CVPR WebVision Challenge, 2019
  
  
  
  
  
  

Copyright © 2023 Wayne Zhang.