I’m a Senior Researcher at Tencent Hunyuan Frontier Lab at ShenZhen, where I work with a small team that focuses on Long Context Modeling. My expertise and research intrests include: Hardware-Efficient Architecture, Sparse Atention, and LLM Inference Acceleration.
NeurIPS Annual Conference on Neural Information Processing Systems, 2026
Replaces attention distillation with end-to-end context ranking under the language modeling loss, outperforming distillation baselines on reasoning, long-context and agentic tasks.
NeurIPS🏆 Spotlight Annual Conference on Neural Information Processing Systems, 2025
Analyze the interplay between the MoE design and speculative decoding.
ACL Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Accelerates shared prefixes for efficient LLM serving with no approximation. Concurrent works: Hydragen by Stanford U, ChunkAttention by Microsoft, Cascade Inference by FlashInfer team.
CVPR IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Pioneering work on introducing MoE-like dynamic block sparsity into attention. Similar ideas were later popularized by DeepSeek NSA and Kimi MoBA in early 2025.
One paper on end-to-end attention sparsification, SAS , got accepted by NeurIPS 2026.
Start my new journey at Tencent AI Lab as Senior Researcher.
One paper on MoE speculative decoding has been accepted by NeurIPS 2025 as spotlight.
We have open sourced our multi-agent deep research project DeepDiverV2 .
One paper on latency-aware test time scaling is accepted by EMNLP Findings.
Senior Researcher, Tencent Hunyuan Frontier Lab.
Senior Researcher, Huawei Noah’s Ark Lab (HK).
PhD Student, CityUHK, work with Prof. Rynson W.H. Lau .
Algorithm Engineer (Intern), Tencent RoboticsX Lab.
Research Assistant & PhD Student, CUHK, work with Prof. Eric Lo .
Bachelor in Computer Science, Dalian University of Technology.
