cv

R&D Intern

Li Auto

R&D Intern

Momenta

Participated in the development of 3D map tile graphics compiler

• 3D map tile graphics compiler

PhD

Gaoling School of Artificial Intelligence, Renmin University of China

Artificial Intelligence

Master

Gaoling School of Artificial Intelligence, Renmin University of China

Artificial Intelligence

B.E.

School of Computer Science, Beijing University of Posts and Telecommunications

Computer Science and Technology

First-Class Scholarship for Excellence in Graduate Studies

Renmin University of China

VLDB 2024 Best Paper Nomination

Renmin University of China

Outstanding Undergraduate Student of Beijing

Beijing Municiplal Education Commission

Outstanding Graduate of Beijing University of Posts and Telecommunications

Beijing University of Posts and Telecommunications

CCF-CSP (China Computer Federation Certified Software Professional)

China Computer Federation

Achieved a score of 370, ranked in the top 1.51%.

Gold Medal, 14th BUPT Programming Contest (CodeMao Cup)

Beijing University of Posts and Telecommunications

AeroSketch: Near-Optimal Time Matrix Sketch Framework for Persistent, Sliding Window, and Distributed Streams

Proceedings of the ACM on Management of Data (SIGMOD 2026)

The paper introduces AeroSketch, a matrix sketching framework for persistent, sliding window, and distributed streams that achieves optimal communication and space costs with near-optimal update time complexity.

Revisiting Matrix Sketching in Linear Bandits: Achieving Sublinear Regret via Dyadic Block Sketching

The Fourteenth International Conference on Learning Representations (ICLR 2026)

The paper proposes Dyadic Block Sketching, a multi-scale matrix sketching approach for linear bandits that achieves sublinear regret without requiring prior knowledge of the streaming matrix properties.

Predictive Configuration on DHCP in WLANs

IEEE/ACM Transactions on Networking

The paper proposes PredHCP, a predictive configuration framework that uses deep learning models to improve DHCP lease time and IP pool configuration in WLANs.

Optimal Matrix Sketching over Sliding Windows

VLDB 2024 Best Research Paper Nomination

The paper introduces the DS-FD algorithm, which achieves the optimal $O(d/\epsilon)$ space bound for matrix sketching over row-normalized, sequence-based sliding windows, and establishes a space lower bound for time-based and unnormalized sliding windows.