Weihuang Wen
(温伟煌)

Ph.D. Candidate
The Chinese University of Hong Kong, Shenzhen
weihuangwen1 (at) link.cuhk.edu.cn

😀 About Me

I am now a fourth-year Ph.D. candidate in the School of Data Science at The Chinese University of Hong Kong, Shenzhen (CUHKSZ), advised by Prof. Tianshu Yu. Before that, I received my BEng and MEng in Computer Science from the Southern University of Science and Technology (SUSTech) and Harbin Institute of Technology (Joint Master Program with SUSTech), advised by Prof. Qi Wang.

🧐 Research Interests

LLM Inference Optimization
Hypergraph Learning
ML-based Algorithm Configuration
Learning for Boolean Satisfiability Problem (SAT)

🗞️ News

[Aug. 2026] I’m excited to join Shanghai AI Lab as a Research Intern.
[Aug. 2026] Two papers were accepted to EMNLP 2026 (1 main, 1 findings).
[Jul. 2025] I’m excited to join Huawei’s Theory Lab as a Research Intern.
[Jan. 2025] One paper about hypergraph generation is accepted to ICLR 2025.

📝 Publications

EMNLP

OUTLETS: Output-Length Prediction from Speculative Decoding Backbones

Weihuang Wen, Yingying Liu, Yichuan Liu, Wenqi Zeng, Li Zhou, Chumin Sun, Jie Sun, Tianshu Yu

Conference on Empirical Methods in Natural Language Processing (EMNLP Main), 2026.

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EMNLP

Sparsity in Linear Attention Models: Bregman Testing Time Learning

Wenqi Zeng, Chen Yuang, Yuxuan Chen, Weihuang Wen, Chumin Sun, Yichuan Liu, Li Zhou, Tian Wang, Fan Zhang, Yuan Yao, Jie Sun

Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), 2026.

ICMEW

HiSQRot4: SmoothQuant-Rotation HiFloat4 PTQ for W4A4 Text-to-Video Diffusion Models

Tian Wang, Wenqi Zeng, Weihuang Wen, Chumin Sun, Yuxuan Chen, Yichuan Liu, Li Zhou, Jie Sun

IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2026.

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ICLR

HyperPLR: Hypergraph Generation through Projection, Learning, and Reconstruction

Weihuang Wen, Tianshu Yu

International Conference on Learning Representations (ICLR), 2025.

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🤝 Academic Services

Conference Reviewer: NeurIPS

🙇🏻‍♂️ Teaching Assistant

CSC4120: Design and Analysis of Algorithms, by Prof. Costas Courcoubetis (CUHKSZ 25S)
CSC3001: Discrete Mathematics, by Prof. Baoxiang Wang (CUHKSZ 24F/23F)
DDA2001: Introduction to Data Science, by Prof. Jiaqi Lu & Prof. Pin Gao & Prof. Zicheng Wang & Prof. Shuang Li (CUHKSZ 24S)
CS201: Discrete Math for Computer Science, by Prof. Qi Wang (SUSTech 19F)

🏅 Awards & Honors

Duan Yong Ping Travel Award, CUHKSZ, 2025
Excellence Award, Information Hub & Greater Bay Area CS Institutes Joint Postgraduate Academic Poster Competition, 2025
University Scholarship, SUSTech, 2018 – 2019
College Student Start-up Scholarship, SUSTech, 2014 – 2017

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