Curriculum Vitae

Education

• Joint Ph.D. Student, Hong Kong University of Science and Technology (Guangzhou) & Shanghai Jiao Tong University
  • Advisors: Prof. Xuming Hu & Prof. Linfeng Zhang
  • Research: Streaming Video Understanding, Game Agents, Efficient VideoLLMs

Experience

• Research Intern, Tencent (Current)
  • Working on streaming video understanding and game agent systems
• Research Intern, Shanghai Jiao Tong University (EPIC Lab)
  • Collaborated on video understanding and token compression research

Publications

OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics

Mingxian Lin, Shengju Qian, Yuqi Liu, Yi-Hua Huang, Yiyu Wang, Wei Huang, Yitang Li, Fan Zhang, Zeyu Hu, Lingting Zhu, Xin Wang, and Xiaojuan Qi. (2026). "OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics." arXiv preprint arXiv:2606.09826.

V-CAST: Video Curvature-Aware Spatio-Temporal Pruning for Efficient Video Large Language Models

Xinying Lin, Xuyang Liu, Yiyu Wang, Teng Ma, and Wenqi Ren. (2026). "V-CAST: Video Curvature-Aware Spatio-Temporal Pruning for Efficient Video Large Language Models." arXiv preprint arXiv:2603.27650.

Bridging Visual Representation and Reinforcement Learning from Verifiable Rewards in Large Vision-Language Models

Yuhang Han, Yuyang Wu, Zhengbo Jiao, Yiyu Wang, Xuyang Liu, Shaobo Wang, Hanlin Xu, Xuming Hu, and Linfeng Zhang. (2026). "Bridging Visual Representation and Reinforcement Learning from Verifiable Rewards in Large Vision-Language Models." arXiv preprint arXiv:2603.27375.

Accelerating Streaming Video Large Language Models via Hierarchical Token Compression

Yiyu Wang, Xuyang Liu, Xiyan Gui, Xinying Lin, Boxue Yang, Chenfei Liao, Tailai Chen, and Linfeng Zhang. (2026). "Accelerating Streaming Video Large Language Models via Hierarchical Token Compression." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

AI for Service: Proactive Assistance with AI Glasses

Zichen Wen, Yiyu Wang, Chenfei Liao, Boxue Yang, Junxian Li, Weifeng Liu, Haocong He, Bolong Feng, Xuyang Liu, Yuanhuiyi Lyu, et al. (2025). "AI for Service: Proactive Assistance with AI Glasses." arXiv preprint arXiv:2510.14359.

VTC-Bench: Are We Using the Right Benchmark? An Evaluation Framework for Visual Token Compression Methods

Chenfei Liao, Wensong Wang, Zichen Wen, Xu Zheng, Yiyu Wang, Haocong He, Yuanhuiyi Lyu, Lutao Jiang, Xin Zou, Yuqian Fu, Bin Ren, Linfeng Zhang, and Xuming Hu. (2026). "Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods." Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL).

Variation-aware Vision Token Dropping for Faster Large Vision-Language Models

Junjie Chen, Xuyang Liu, Zichen Wen, Yiyu Wang, Siteng Huang, and Honggang Chen. (2026). "Variation-aware Vision Token Dropping for Faster Large Vision-Language Models." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models

Xuyang Liu, Yiyu Wang, Junpeng Ma, and Linfeng Zhang. (2025). "Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

Position: Shifting AI Efficiency From Model-Centric to Data-Centric Compression

Xuyang Liu, Zichen Wen, Shaobo Wang, Junjie Chen, Zhishan Tao, Yubo Wang, Xiangqi Jin, Chang Zou, Yiyu Wang, Chenfei Liao, Xu Zheng, Honggang Chen, Weijia Li, Xuming Hu, Conghui He, and Linfeng Zhang. (2026). "Shifting AI Efficiency From Model-Centric to Data-Centric Compression." arXiv preprint arXiv:2505.19147.

Skills

• Research Areas: Streaming Video Understanding, Game Agents, Token Compression, VideoLLMs
• Programming: Python, PyTorch, Deep Learning Frameworks
• Tools: Git, LaTeX, Linux