Ph.D. student. Focused on 3D digital human synthesis and the application of LLMs in recommendation systems during the master's phase. Current research centers on LLM and agent routing, aiming to enhance performance while reducing costs.

Ph.D. student working on device-cloud collaborative GUI Agent, Multi-Agent Systems and 3D Digital Human.

Ph.D. student working on the safety of Computer-Using Agents (CUAs), including guardrails, red-teaming, and evaluation for robust task execution.

Ph.D. student working on device-cloud collaborative GUI agents and efficient LLM inference, with a focus on speculative decoding for low-latency deployment.

Ph.D. student at AI4GC Lab working on multimodal large language models and model merging.

Master's student researching LLM inference optimization, KV cache compression, and causal recommendation systems at AI4GC Lab, Zhejiang University.

Master's student working on 3D generation and efficient inference for visual models, including speech-driven talking face & Text/Image-to-3D Generation, as well as step distillation & training-free acceleration for diffusion and VAR models.

Master's student researching generative recommendation and search, with interests in semantic identifier construction and device-cloud collaborative systems for efficient retrieval.

M.S. student at AI4GC Lab, Zhejiang University, working on AIGC acceleration, cloud-device collaboration, and efficient AI. Previously interned with Tencent WXG's WeChat Vision team and contributed to the UnicEdit-10M image editing dataset and benchmark.

M.S. student working on recommender systems and LLM agents, including model customization, lightweight on-device deployment, and reinforcement-learning-based refinement.

Master's student working on CLI/GUI agents, agentic reinforcement learning, and LLM evaluation for robust computer-use automation.

Master's student at AI4GC Lab working on mobile GUI agents.

Master's student working on computer-using agents.

Master's student at AI4GC Lab working on KV cache optimization and efficient inference for multimodal LLMs.

Master's student at AI4GC Lab working on multimodal generation and multimodal reasoning.

Master's student at AI4GC Lab working on GUI/CLI agents, reward modeling, and multimodal LLM reasoning.

Master's student working on confidence calibration, uncertainty estimation, and evaluation for large language models and AI agents.

Master's student working on legal compliance image editing, and inference acceleration for VAR models.

Incoming master's student working on CLI agents and agentic systems that interact with command-line environments.

Incoming master's student at AI4GC Lab, Zhejiang University, interested in efficient video generation, diffusion models, and inference acceleration for video diffusion models.

Incoming Master's student working on GUI agents

Research intern at AI4GC Lab working on efficient inference for large language and multimodal models — KV cache compression and long-context acceleration — and now moving toward CLI agents.