People团队

Member成员

Benyou Wang

Benyou Wang王本友

Assistant Professor, CUHK-Shenzhen香港中文大学(深圳)助理教授

Leads FreedomAI at CUHK-Shenzhen, building open medical, multilingual, and agentic AI systems with research, healthcare, and industry partners.在香港中文大学(深圳)领导 FreedomAI,推进开放医疗、多语言和智能体 AI 系统,并与科研、医疗和产业伙伴协同落地。

Junying Chen

Junying Chen陈俊颖

PhD student博士生

Develops HuatuoGPT-family medical AI systems, from clinical reasoning LLMs and multimodal medical models to healthcare agents that can be evaluated and deployed. 开发 HuatuoGPT 系列医疗 AI 系统,覆盖临床推理大模型多模态医学模型以及可评测、可部署的医疗智能体。

Xidong Wang

Xidong Wang王熙栋

PhD student博士生

Focuses on medical foundation models and multimodal LLMs, contributing to CMB, LongLLaVA, Apollo, and evaluation benchmarks that connect model capability with clinical use. 专注医疗基础模型和多模态大模型,参与 CMBLongLLaVAApollo 以及连接模型能力与临床应用的医学评测基准。

Shunian Chen

Shunian Chen陈舒年

PhD student博士生

Develops multimodal and audio-language foundation models, including ALLaVA, with a focus on aligning visual, acoustic, and linguistic signals for general-purpose assistants.开发多模态与音频语言基础模型,包括 ALLaVA,重点研究视觉、声音与语言信号在通用助手中的对齐。

Shunlin Lu

Shunlin Lu卢舜林

PhD student, co-supervised with Prof. Ruimao Zhang博士生,与张汝茂教授共同指导

Works on humanoid robots, character animation, motion generation and understanding, and multi-modal LLMs, aiming to build generalizable animation systems for embodied intelligence and virtual entertainment. 研究人形机器人、角色动画、动作生成与理解以及多模态大模型,目标是构建服务具身智能和虚拟娱乐的可泛化动画系统。

Fei Yu

Fei Yu余菲

PhD student博士生

Studies agentic reinforcement learning and language reasoning, contributing to large-model training and evaluation, including the MiniMax-M2 technical report.研究智能体强化学习与语言推理,参与大模型训练和评测工作,包括 MiniMax-M2 技术报告

Juhao Liang

Juhao Liang梁钜豪

PhD student博士生

Builds multilingual and efficient LLMs for tool use and medical AI, spanning tool planning, Arabic LLM alignment, and language-family expert models. 构建面向工具使用和医疗 AI 的多语言、高效大模型,覆盖工具规划、阿拉伯语大模型对齐和语系专家模型。

Tongxu Luo

Tongxu Luo罗童旭

PhD student博士生

Studies reinforcement learning, large reasoning models, and efficient LLM pre-training, connecting training recipes with agent capabilities that can be measured and improved.研究强化学习、大推理模型和高效大模型预训练,关注将训练方法转化为可评测、可改进的智能体能力。

Ke Ji

Ke Ji冀珂

PhD student博士生

Develops self-improving and trustworthy LLM agents, including agentic reasoning, inference-time adaptation, autonomous learning loops, and rigorous real-world evaluation.开发自我改进和值得信赖的大模型智能体,研究智能体推理、推理时自适应、自主学习循环和严谨的真实场景评测。

Zhenyang Cai

Zhenyang Cai蔡镇阳

PhD student博士生

Focuses on medical LLMs and multimodal healthcare AI, advancing HuatuoGPT-family systems, clinical reasoning, and generalization across medical modalities.专注医学大语言模型和多模态医疗 AI,推进 HuatuoGPT 系列系统、临床推理以及跨医学模态泛化能力。

Rongsheng Wang

Rongsheng Wang王荣胜

PhD student博士生

Develops trustworthy medical LLMs, multimodal foundation models, and generative AI systems for healthcare applications that require reliability and clinical context.开发可信医疗大语言模型、多模态基础模型,以及面向医疗健康应用、强调可靠性与临床场景理解的生成式 AI 系统。

Minghao Wu

Minghao Wu吴铭昊

PhD student博士生

Builds LLM-agent simulations for social and economic systems, focusing on scalable market environments, micro-world modeling, and interpretable agent behavior. 构建面向社会经济系统的大模型智能体仿真,关注可扩展市场环境、微观世界建模和可解释的智能体行为。

Collaborating member合作成员

Jiale Han

Jiale Han韩佳乐

Research Assistant Professor, SLAISLAI 研究助理教授

Research direction: Economic World Models.研究方向:经济世界模型。

Alumni校友

PhD Graduates博士毕业生

Zhihong Chen

Zhihong Chen陈志宏

First PhD graduate首位博士毕业生

Stanford postdoc alum and co-founder of Cognita. Cognita was acquired by Mosaic Clinical Technologies, where the Cognita team continues as an AI-focused unit.曾在斯坦福从事博士后研究,Cognita 联合创始人。Cognita 已被 Mosaic Clinical Technologies 收购,团队继续作为 AI 单元开展工作。

  • Representative areas: medical vision-language models, radiology AI, and healthcare foundation models.代表方向:医学视觉语言模型、放射影像 AI 和医疗基础模型。
Zhengyang Tang

Zhengyang Tang唐正阳

PhD graduate博士毕业生

Worked with Qwen3, Kimi K2.5, Tencent Hunyuan, and Microsoft Research Asia; led or co-led AceGPT, ORLM, CALM/STORM, CoRT, and agentic privacy systems research.参与 Qwen3Kimi K2.5、腾讯混元和微软亚洲研究院相关工作;主导或共同主导 AceGPTORLMCALM/STORMCoRT 以及智能体隐私系统研究。

  • Representative areas: agents, optimization modeling, code reasoning, and multilingual LLMs.代表方向:智能体、优化建模、代码推理和多语言大模型。
Bohao Li

Bohao Li李博豪

PhD graduate博士毕业生

Led influential multimodal benchmark work, including SEED-Bench and SEED-Bench-2, and has research experience across multimodal evaluation and computer vision.主导有影响力的多模态评测基准工作,包括 SEED-BenchSEED-Bench-2,研究经验覆盖多模态评测和计算机视觉。

  • Representative areas: multimodal benchmarks, vision-language models, and few-shot learning.代表方向:多模态基准、视觉语言模型和小样本学习。

Selected Alumni and Collaborators部分校友与合作者

Feng Jiang

Feng Jiang蒋峰

Associate Professor, SUAT深圳理工大学副教授

Former CUHK-Shenzhen postdoctoral research fellow; now an Associate Professor at Shenzhen University of Advanced Technology working on large language and speech models.曾任香港中文大学(深圳)博士后研究员,现为深圳理工大学副教授,研究大语言模型和语音模型。

Zhan Su

Zhan Su苏展

Assistant Professor, Halmstad University哈尔姆斯塔德大学助理教授

Researcher working across language models, representation learning, and machine learning, now at Halmstad University.研究语言模型、表示学习和机器学习,现任职于哈尔姆斯塔德大学。

Jianqing Zhu

Jianqing Zhu祝建庆

Research Assistant Professor, SLAISLAI 研究助理教授

Works on large language models, deep learning, and Arabic LLM localization, including progressive vocabulary expansion and native alignment for multilingual foundation models.研究大语言模型、深度学习和阿拉伯语大模型本地化,包括渐进式词表扩展和多语言基础模型的原生对齐。

Yazhou Zhang

Yazhou Zhang张亚洲

Associate Researcher, Tianjin University天津大学副研究员

Visiting scholar collaborator; now an Associate Researcher at Tianjin University, with work across LLMs, affective computing, sarcasm detection, and sentiment analysis.访问学者合作者,现为天津大学副研究员,研究大模型、情感计算、讽刺检测和情感分析。

Yan Hu

Yan Hu胡言

Research Scientist, National Health Data Institute (Shenzhen), CUHK-Shenzhen香港中文大学(深圳)国家健康医疗大数据研究院(深圳)研究科学家

Collaborator on medical AI and healthcare foundation model evaluation, with research spanning medical NLP, multimodal medical AI, and clinical benchmark design.医疗 AI 和医疗基础模型评测合作者,研究覆盖医学自然语言处理、多模态医疗 AI 和临床基准设计。

Anningzhe Gao

Anningzhe Gao高安凝哲

ByteDance字节跳动

Researcher at ByteDance, working on large language models, time series, machine learning, and medical AI collaborations.字节跳动研究员,研究大语言模型、时间序列、机器学习和医疗 AI 合作项目。

Guiming Hardy Chen

Guiming Hardy Chen陈桂铭

Former research engineer前研究工程师

Former full-time research engineer at CUHK-Shenzhen with Prof. Benyou Wang; now a PhD student at UC Santa Cruz working on vision-language and large language models.曾在香港中文大学(深圳)王本友教授团队担任全职研究工程师,现为加州大学圣克鲁兹分校博士生,研究视觉语言模型和大语言模型。

Dingjie Song

Dingjie Song宋定杰

Former research assistant前研究助理

Former research assistant at the CUHK-Shenzhen NLP group; now a PhD student at Lehigh University and summer research intern at Salesforce AI Research.曾任香港中文大学(深圳)NLP 组研究助理,现为理海大学博士生,并曾在 Salesforce AI Research 暑期实习。

Wenya Xie

Wenya Xie谢文雅

PhD student, University of Minnesota明尼苏达大学博士生

Former research assistant at CUHK-Shenzhen with Prof. Benyou Wang and Feng Jiang; now a PhD student at UMN working on LLM reasoning, agent memory, and personalization.曾在香港中文大学(深圳)王本友教授和蒋峰老师团队担任研究助理,现为明尼苏达大学博士生,研究大模型推理、智能体记忆和个性化。

Nuo Chen

Nuo Chen陈诺

Alumni collaborator校友合作者

Works on large language models, medical AI, and multilingual AI systems.研究大语言模型、医疗 AI 和多语言 AI 系统。

Chen Zhang

Chen Zhang张辰

Meituan Longmao美团龙猫

Former lab research assistant; now at Meituan Longmao, with work across medical AI, large language model evaluation, and multimodal benchmark research.前实验室研究助理,现任职于美团龙猫,研究医疗 AI、大语言模型评测和多模态基准。

Sunzhu Li

Sunzhu Li李孙竹

DJI Zhuoyu大疆卓驭

Now at DJI Zhuoyu, with research interests across large language models, multimodal systems, and intelligent systems applications.现任职于大疆卓驭,研究兴趣覆盖大语言模型、多模态系统和智能系统应用。

Hongbo Zhang

Hongbo Zhang张鸿博

PhD student, Westlake University / Zhejiang University西湖大学 / 浙江大学博士生

Researcher in the WestlakeNLP group, working on natural language processing, LLM reasoning, and trustworthy NLP.WestlakeNLP 组研究者,研究自然语言处理、大模型推理和值得信赖的 NLP。

Nathan Guanyu Chen

Nathan Guanyu ChenNathan Guanyu Chen

Former visiting high school student访问高中生校友

Former visiting high school student in our group and co-author of Attention Residuals. He now works on machine learning research at Kimi Moonshot, with interests in model architecture, optimization, and continual learning.曾作为访问高中生加入本组,并参与经典论文 Attention Residuals。现于 Kimi 月之暗面从事机器学习研究,关注模型架构、优化与持续学习。

Alumni Achievements校友成果