Zhenghao Xing邢正昊
I am a fourth-year Ph.D. student at The Chinese University of Hong Kong (CUHK), advised by Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu.
My research focuses on multimodal agents and video reasoning: building foundation models that can see, hear, reason, and act.
I am now a research scientist intern at ByteDance, San Jose, working on multimodal agents for video understanding and code-driven creation.
Previously, I interned at Alibaba Qwen, working on omni-modal reasoning, multimodal agents, and RL post-training.
On the job market in 2027. Happy to connect about opportunities.
More about my background
During my Ph.D., I interned at Alibaba Qwen, building agentic RL frameworks, algorithms, and data pipelines for omni-modal reasoning in foundation models. Before CUHK, I worked at Tencent AI Lab on RL-based game agents, designing reward strategies for diverse playstyles.
I hold an M.Sc. in Big Data Technology from The Hong Kong University of Science and Technology (HKUST). I completed my undergraduate studies in Computer Science and Technology at Beijing Normal-Hong Kong Baptist University (BNBU), earning a B.Sc. (Hons) awarded by Hong Kong Baptist University (HKBU).
My long-term goal is to build multimodal agents that understand the world as it unfolds. I see video, naturally coupled with audio, as the bridge from multimodal perception to agentic interaction in open-ended environments.
Research
Google Scholar ↗Selected publications and technical reports. * Equal contribution.
News
Introducing Omni2Web, a benchmark probing the gap between multimodal intent understanding and code execution in audiovisual website development.
Qwen3.8-Omni is out, advancing native multimodal agents. It integrates our work on OmniAgent at Qwen, enabling agentic omni understanding.
One paper accepted to EMNLP 2026 (Findings).
Earlier updatesFewer updates
Invited to give a booth talk on OmniAgent at the Alibaba Qwen booth during ICML 2026 in Seoul (#B400, Jul 8, 13:20–13:40); slides are now available on Hugging Face Spaces.
Selected for the Tencent Project Up Scholarship for ICML 2026.
One paper accepted to ICML 2026! OmniAgent introduces the first native omni-modal agent for active perception, treating video perception as an iterative reasoning process. The arXiv paper, code, and models are now publicly released.
Qwen3.5-Omni is here!
One paper accepted to ICLR 2026.
One paper accepted to IJCV.
Qwen3-Omni is here!
One paper accepted to NeurIPS 2025.
One paper accepted to CVPR 2025.
One paper accepted to TIP.
Moved into campus housing after a long wait!
Academic service & honors
Reviewer
- CVPR 2026
- ICML 2026 (Silver Reviewer)
- ECCV 2026
- WACV 2027
Awards
- 2026Project Up Scholarship (ICML), Tencent
- 2023Postgraduate Scholarship, The Chinese University of Hong Kong
- 2019President's Honour Roll & First Class Scholarship, Beijing Normal-Hong Kong Baptist University
Invited talks
Native Active Perception as Reasoning for Omni-Modal Understanding
View slides ↗