Biography
I am an LLM Researcher at Sea Group, Shopee LLM Team. I received my Ph.D. in Computer Science from Nankai University, jointly trained with Nanyang Technological University, Singapore, as a member of the Nankai-Baidu Joint Lab (NBJL). I was previously a research intern at Microsoft Research Asia, working on time-series LLMs. My research interests include Code LLMs & Agents, AI for Data Compression, and High-Performance Computing, with 30 publications at venues including KDD, AAAI, WWW, ACL, CVPR and Bioinformatics. Most of my tools are open-sourced on GitHub. Please feel free to reach out if you are interested in my research.
News
- 🎤 Invited talk at Asian Transplantation Week (ATW) 2026, Busan, Korea.Upcoming
- 💼 Joined Sea Group as an LLM Researcher in the Shopee LLM Team, Beijing.
- 🎉 Two papers are accepted by ACL 2026 (including 1 Oral).
- 🎉 One paper is accepted by CVPR 2026.
- 📄 ChatAD (work done at MSRA) is released on arXiv.
- 💼 Joined Microsoft Research Asia as a research intern.
- 🎉 PMKLC is accepted by SIGKDD 2025 (Oral).
Publications
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OPDArena: Understanding Learning and Forgetting in On-Policy DistillationarXiv 2026Tech Report -
REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series ForecastingarXiv 2026Tech Report -
LLCBench: Benchmarking Lossless Compression of Large Language Models
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ChatAD: Reasoning-Enhanced Time-Series Anomaly Detection with Multi-Turn Instruction EvolutionarXiv 2026Tech Report -
AgentGC: Evolutionary Learning-based Lossless Compression for Genomics Data with LLM-driven Multiple AgentACL 2026CCF-A -
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Geometric Structure-Aware Diffusion Model with Self-Optimization Strategy for Molecular GenerationJCTC 2026
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End-to-End Story Visualization Framework with Penalty-Based Evaluation using Vision-Language ModelsICASSP 2026CCF-B
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Artificial Intelligence-Driven Non-Targeted Screening: Applications and Prospects in Environmental and Food SciencesTIFS 2026
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Adaptive Lossless Compression for Genomics Data by Multiple (s,k)-mer Encoding and xLSTM
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Multi-source Data Lossless Compression via Parallel Expansion Mapping and xLSTM
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A Survey and Benchmark Evaluation for Neural-Network-Based Lossless Universal Compressors Toward Multi-Source Data
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LRCB: A Comprehensive Benchmark Evaluation of Reference-free Lossless Compression Tools for Genomics Sequencing Long Reads Data
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融合聚类和卷积神经网络的原理图美观度评价算法华中科技大学学报 2024EI
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高错误率长序列基因组数据敏感序列识别并行算法通信学报 2023CCF-A(中文) -
SR2C: A Structurally Redundant Short Reads Collapser for Optimizing DNA Data Compression
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PMFFRC: A Large-Scale Genomic Short Reads Compression Optimizer via Memory Modeling and Redundant ClusteringBMC Bioinformatics 2023CCF-CJCR Q1
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融合过滤和相似度计算的高错误率基因组数据敏感序列识别小型微型计算机系统 2022CCF-B(中文)
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Prosumer Full Lifecycle Sustainable Footprint Painting for Circular Economy and Community-based Virtual Power Plant: A Multi-objective Optimization ResearchPSEP 2025
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Eco-Energetical Analysis of Circular Economy and Community-based Virtual Power Plants (CE-cVPP)Applied Energy 2024JCR Q1
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The Integration of Supercritical and Reheating Rankine Cycles in Advanced Thermal Energy Systems for Extreme Weather AdaptationICAE 2024
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ricME: Long-Read Based Mobile Element Variant Detection Using Sequence Realignment and Identity Calculation
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Wireless Energy: Paving the Way for Smart Cities and a Greener FutureEnergy and Buildings 2023JCR Q1
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多维度评价科技工作责任主体信用模型与算法广西大学学报 2021CSCD
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COVID-19 Epidemic Situation, the Outbreak Peak and Cycle Centered on China's No-Drug Control Actions: A Modeling StudySSRN 2020
† equal contribution · * corresponding author
No papers in this category yet.
Invited Talks
TSS Concurrent Symposium 7 (Kidney) — Foundation Models and Clinical Intelligence in Transplantation
Nov 14, 2026 · BEXCO, Busan, Korea
Professional Activities
Reviewer for Conferences
- AAAI Conference on Artificial Intelligence (AAAI), 2024, 2025, 2026
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025, 2026
- The Web Conference (WWW), 2025
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
- International Joint Conference on Neural Networks (IJCNN), 2025
Honors & Awards
Competitions
- 2025 · Computer Achievement Award, Guangxi Zhuang Autonomous Region — Second Prize
- 2024 · 11th National Parallel Application Challenge, Team Leader — National Second Prize (Top-2 in China)
- 2024 · Tianjin "Challenge Cup" Innovation and Entrepreneurship Plan, Technical Director — Gold Prize (Top-1 in Tianjin)
- 2024 · Nankai University "President's Cup" Innovation and Entrepreneurship Competition, Technical Director — First Prize
- 2023 · "Huawei Cup" National College Student Storage Modeling Competition — Second Prize (Top-2 in China)
- 2020 · 8th National Parallel Application Challenge "Intel Cup" — Parallel Fund Award (Top-9 in China)
- 2020 · Guangxi College Student Computer Design Competition — Third Prize
- 2019 · Guangxi Computer Society Conference — First Prize, Outstanding Paper
- 2017 · "Data Creation Cup" National Mathematical Modeling Challenge — First Prize
Scholarships
- 2024–25 · First Prize Doctoral Graduate Scholarship, Nankai University
- 2022–24 · Doctoral Graduate "GongNeng" Scholarship, Nankai University (twice)
- 2021–22 · Outstanding Graduate Student; Annual Outstanding Student Scholarship, Guangxi University
- 2020–22 · First Prize Graduate Academic Scholarship, Guangxi University (twice)
- 2019–20 · Outstanding Graduate Cadre, Guangxi University
- 2017–18 · National Inspirational Scholarship of China
Patents & Software Copyrights
- A Heuristic Layout and Routing Method for Circuit Schematic Diagrams · CN117057302A · 2nd
- Method for Evaluating the Aesthetics Level of Circuit Layout, Routing, and Schematic Diagram · CN117058096A · 2nd
- A Parallel Optimization Method for High-Throughput Genomics Sequencing Reads Data Compression · CN117059181A · 2nd
- A Parallel Compression Method for High-Throughput Genomic Sequencing Quality Score Data · CN117133365A · 2nd
- A Non-Intrusive Identification Method for Multi-Parameter Identification of Electromagnetic Equipment Based on Ensemble Algorithms · CN113723495A · 3rd
- Software copyrights: Research Integrity Evaluation Software System (2nd), DNA Sensitive Sequence Filtering Software (1st), Improved RC4 Cryptography Auxiliary Teaching Platform (1st)
Sea Group,
Shopee LLM Team. I received my Ph.D. in Computer Science from
Nankai University, jointly trained with
Nanyang Technological University, Singapore, as a member of the Nankai-Baidu Joint Lab (NBJL).
I was previously a research intern at
Microsoft Research Asia, working on time-series LLMs.
My research interests include Code LLMs & Agents, AI for Data Compression, and High-Performance Computing,
with 30 publications at venues including KDD, AAAI, WWW, ACL, CVPR and Bioinformatics.
Most of my tools are open-sourced on