Teng Wang 王腾
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Senior Researcher at Tencent 👨💻 Github: https://github.com/ttengwang 🎓 Google scholar: https://scholar.google.com/citations?user=TqY98koAAAAJ 🏠 Hometown: Jining, China |
Hi, there! I'm Teng Wang. I am a researcher at Tencent ARC Lab, focusing on advancing multimodal foundation models and video understanding systems. Prior to this, I earned my Ph.D. in Computer Science from the University of Hong Kong (HKU) in 2024, where I was fortunate to be advised by Prof. Ping Luo and Prof. Feng Zheng. Before my doctoral studies, I completed my B.E. and M.E. degrees at Sun Yat-sen University (SYSU) under the supervision of Prof. Huicheng Zheng.
Prospective Collaborators: We are actively seeking motivated research interns and collaborators to join our Multimodal Foundation Model team at Tencent ARC Lab. If you share an interest in vision-language-audio tasks, video understanding or multi-modal reasoning, feel free to reach out via email!
News
[Apr 2025] Three papers accepted to CVPR 2025, ICLR 2025 (1 Spotlight), TCSVT.
[Dec 2024] Two papers accepted to ECCV 2024, ACMMM 2024.
[Dec 2023] Six papers accepted to ICCV 2023 (1 oral), CVPR 2023, ICML 2023.
[Dec 2022] Four papers accepted to ICML 2022, TMM 2022, ICCV 2021, TCSVT 2020.
Research
My research interests include:
Unified Multimodal Models (vision-language-audio unification, understanding-generation unification.)
Multi-Modal Reasoning (visual chain-of-thought, R1-like reasoning, etc.)
Long-Term Video Understanding (video grounding, dense understanding, long-chain reasoning, etc.)
Selected Publications
* equal contribution
TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation
Haokun Lin*, Teng Wang*, Yixiao Ge, Yuying Ge, Zhichao Lu, Ying Wei, Qingfu Zhang, Zhenan Sun, Ying Shan
Arxiv, 2025.
Video understanding with large language models: A survey
Yunlong Tang, Jing Bi, Siting Xu, Luchuan Song, Susan Liang, Teng Wang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025. (github 2k stars)
UniAV: Unified Audio-Visual Perception for Multi-Task Video Localization
Tiantian Geng, Teng Wang, Yanfu Zhang, Jinming Duan, Weili Guan, Feng Zheng
Arxiv, 2024.
Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models
Jinrui Zhang, Teng Wang, Haigang Zhang, Ping Lu, and Feng Zheng
European Conference on Computer Vision (ECCV), 2024.
Caption anything: Interactive image description with diverse multimodal controls
Teng Wang*, Jinrui Zhang*, Junjie Fei*, Yixiao Ge, Hao Zheng, et al.
Arxiv, 2023. (github 1.7k stars)
Transferable decoding with visual entities for zero-shot image captioning
Junjie Fei*, Teng Wang*, Jinrui Zhang, Zhenyu He, Chengjie Wang, Feng Zheng
International Conference on Computer Vision (ICCV), 2023.
Knowledge-aware prompt tuning for generalizable vision-language models
Baoshuo Kan*, Teng Wang*, Wenpeng Lu, Xiantong Zhen, Weili Guan, Feng Zheng
International Conference on Computer Vision (ICCV), 2023.
Set-level guidance attack: Boosting adversarial transferability of vision-language pre-training models
Dong Lu*, Zhiqiang Wang*, Teng Wang, Weili Guan, Hongchang Gao, Feng Zheng
International Conference on Computer Vision (ICCV Oral), 2023.
Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos
Teng Wang*, Jinrui Zhang*, Feng Zheng, Wenhao Jiang, Ran Cheng, Ping Luo
Arxiv, 2023. (Rank 1 in PIC Challenge 2022 Track 1&2)
Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline
Tiantian Geng, Teng Wang, Jinming Duan, Runmin Cong, Feng Zheng
IEEE Computer Vision and Pattern Recognition (CVPR), 2023.
Accelerating Vision-Language Pretraining with Free Language Modeling
Teng Wang , Yixiao Ge, Feng Zheng, Ran Cheng, Ying Shan, Xiaohu Qie, Ping Luo
IEEE Computer Vision and Pattern Recognition (CVPR), 2023.
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo
International Conference on Machine Learning (ICML), 2022
End-to-end dense video captioning with parallel decoding
Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo
International Conference on Computer Vision (ICCV), 2021.
Event-centric hierarchical representation for dense video captioning
Teng Wang, Huicheng Zheng, Mingjing Yu, Qian Tian, Haifeng Hu
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.
Academic service
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Conference reviewer for CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS, AISTATS
Journal reviewer for IJCV, IEEE TNNLS, IEEE TIP, IEEE TMM, IEEE TCSVT
Experience
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Research Intern at TikTok (2023), Tencent ARC Lab (2022), Tencent Data Platform (2021), Tencent AI Lab (2019)
Competitions & Awards
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Rank 1 in Generic Event Boundary Captioning Track of LOVEU Challenge at CVPR 2023
Rank 1 in Make-up Temporal Video Grounding Track of PIC challenge at ACM MM 2022
Rank 1 in Make-up Dense Video Captioning Track of PIC challenge at ACM MM 2022
Rank 2 in Generic Event Boundary Captioning Track of LOVEU Challenge at CVPR 2022
Rank 2 in Event Dense-Captioning Track of ActivityNet Challenge at CVPR 2020, CVPR2021, CVPR2022
Rank 3 in TinyAction Challenge at CVPR 2021