Chenghao LiuMaster's Student, Peking University
Email: chliu [at] stu [dot] pku [dot] edu [dot] cn
Last updated: August 1, 2026 |
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Biography
I am currently pursuing my master's degree at Peking University, advised by Prof. Songfang Huang. I received my bachelor's degree from Huazhong University of Science and Technology.
My research interests mainly focus on: 1) Language Model Architecture and Training/Inference Methods: designing model architectures and training/inference techniques for discrete-token language models and continuous diffusion language models to improve task-specific performance or general capabilities; 2) Agentic Systems: memory, workflow, and data flywheel for LLM-based agents.
If you share similar research interests, feel free to reach out.
I expect to graduate in June 2027 and am currently seeking full-time opportunities. Please feel free to reach out.
我预计于 2027 年 6 月毕业，目前正在寻找 2027 届校招全职机会，欢迎联系。
Experience
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Baidu - ERNIE Team - Pretraining Group Research Intern, Jun. 2026 - Present Focus: Pretraining Architecture, Training Dynamics |
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ByteDance - TikTok - Content Intelligence Team Research Intern, Dec. 2025 - Jun. 2026 Focus: VL Embedding Model, Continuous Diffusion Language Model |
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Samsung Research China - Advanced Research Lab Research Intern, Feb. 2025 - Apr. 2025 Focus: VLM/VLA Architecture |
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Peking University - XLab Student Researcher, Sep. 2024 - Present Focus: VLM/VLA Architecture, VLN Agent |
Education
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Peking University School of Advanced Manufacturing and Robotics M.Eng., Sep. 2024 - Jun. 2027 (expected) |
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Huazhong University of Science and Technology School of Cyber Science and Engineering B.Eng., Sep. 2020 - Jun. 2024 |
Selected Publications [Full List]
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Generative Retrieval via Diffusion Transformer with Metric-Ordered Sequence Training and Hybrid-Policy Preference Optimization Chenghao Liu, Yu Zhang, Zhongtao Jiang, Kun Xu, Zhenwei An, Renzhi Wang, Zhao Wang, Jiachen Zhang, Yuxiao Zhang, Kun Xu, Songfang Huang Preprint [paper] |
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TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action Models Chenghao Liu, Jiachen Zhang, Chengxuan Li, Zhimu Zhou, Shixin Wu, Songfang Huang, Huiling Duan |
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MSNav: Zero-Shot Vision-and-Language Navigation with Dynamic Memory and LLM Spatial Reasoning Chenghao Liu, Zhimu Zhou, Jiachen Zhang, Minghao Zhang, Songfang Huang, Huiling Duan ICASSP 2026 [paper] |
Misc
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I am interested in zero-sum environments, including both markets and games. In my spare time, I engage in trading activities in markets such as cryptocurrencies, U.S. stocks, and prediction markets, as well as games like Texas Hold'em and Mahjong. I enjoy analyzing these competitive settings and trying to gain an edge through strategy and reasoning. It's just for fun — don't gamble. Recently, I have also been exploring how to use LLMs in these trading markets, including factor mining and automated trading systems, etc., to assist trading decisions. I also enjoy video games, including single-player games on platforms such as PlayStation, Nintendo Switch, and Steam, as well as cooperative multiplayer games. My favorite game is The Legend of Zelda: Breath of the Wild—the 100+ hours I spent playing it are among the happiest moments of my life. For multiplayer games, I particularly enjoy League of Legends, which is probably the game I've spent the most time playing. If you happen to share similar interests, feel free to reach out. |
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