Linjia Kang
(康林佳)
ABOUT ME
Hi! I am currently an M.S. student at Tsinghua University, advised by Prof. Zhi Wang. Before that, I obtained my B.Eng. degree in Data Science and Big Data Technology from Huazhong Agricultural University in 2025. I am fortunate to be a member of "LLM Agents & Embodied VLA" group, a small but vibrant research team made up of young, enthusiastic, and deeply committed people. Working alongside them is both a joy and an honor.
RECENT NEWS
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[2026/01] New! Our first work MobileGen on GUI Agent is available now! It adaptively synthesizes high-quality GUI trajectories by aligning task difficulty with the agent's capability frontier.
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[2025/12] New! We are pleased to release our latest work Trailblazer, which positions LLMs as generalists and has been online validated through Douyin (Chinese TikTok).
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[2025/09] New! Our first work CoBel-World on LLM multi-agent systems is available now! It introduces belief modeling for LLMs to reason like human collaborators!
RESEARCH INTERESTS
My research aims to advance LMs as the 'cognitive core' for effective task execution in open-ended worlds. I am particularly interested in GUI Agent, Multi-agent System, and LM Tool Use.
PUBLICATIONS
Note: Equal contributions are marked by *.
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Learning with Challenges: Adaptive Difficulty-Aware Data Generation for Mobile GUI Agent Training
Under review [CCF-A] preprint webpage
Linjia Kang*, Zhimin Wang*, Yongkang Zhang*, Duo Wu, Jinghe Wang, Ming Ma, Haopeng Yan, Zhi Wang
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Large Language Models as Generalist Policies for Network Optimization
Under review preprint code webpage
Duo Wu, Linjia Kang, Zhimin Wang, Fangxin Wang, Wei Zhang, Xuefeng Tao, Wei Yang, Le Zhang, Peng Cui, Zhi Wang.
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Collaborative Belief Reasoning with LLMs for Efficient Multi-Agent Collaboration
Under review [CCF-A] preprint
Zhimin Wang*, Duo Wu*, Shaokang He*, Linjia Kang, Jinhe Wang, Jing Yu, Kai Zhu, Jiawei Li, Zhi Wang.
EXPERIENCE
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Audio/Video Policy Model Group, Kuaishou Technology, Beijing
Research Intern, Aug. 2025 - Present.
AWARDS
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Outstanding Graduate, HZAU, 2025
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National Scholarship (Top 1%), China, 2024
CONTACT
Name: Linjia Kang (康林佳)
Address: Information Building Tsinghua Campus, University Town of Shenzhen, P. R. China
E-mail: klj25@mails.tsinghua.edu.cn / klj_dd@163.com