Yuhang Wu | Tsinghua University

About Me

I am a first-year PhD student at the College of AI, Tsinghua University, and a member of the MEOW Lab, advised by Prof. Miao Liu. I received my bachelor’s degree in Information and Computing Science from Zhili College, Tsinghua University.

From Summer 2025 to July 2026, I was a research intern at ByteDance Seed. From Winter 2024 to Summer 2025, I internd at the THUKEG, advised by Prof. Yuxiao Dong, and at Zhipu AI.

My current research interests lie in multimodal intelligence, image generation, and personalized AI systems.

News

[Aug. 2026] Two paper are accepted to EMNLP 26 main track!
[Jun. 2026] PIPBench is accepted to ECCV 2026!
[Jul. 2025] I will join Bytedance Seed as a research intern.
[May. 2025] AlignMMBench is accepted to ACL 2025!

Honors & Awards

[2026] Tsinghua University Outstanding Graduate (Top 4%)
[2026] Honors Degree, Zhili College, Tsinghua University
[2025] National Scholarship at Tsinghua University
[2024 & 2025] Tsinghua University Comprehensive Excellence Scholarship
[2023 & 2025] Tsinghua University Academic Excellence Scholarship
[2021] Silver Medal, 38th National Olympiad in Informatics (NOI 2021)

Education

Ph.D. Student in Artificial Intelligence
College of AI, Tsinghua University

2026–Present

• Advisor: Prof. Miao Liu • MEOW Lab

B.S. in Information and Computing Science
Zhili College, Tsinghua University

2022–2026

• GPA: 3.91/4.00 • Rank: 4/34

Publications / Preprints

ECCV26

PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation

Yuhang Wu, Shuxiang Zhang, WEE HIAN CHING, Chi Zhang, Miao Liu

The 19th European Conference on Computer Vision (ECCV), 2026.

PDF Code BibTex Poster Presentation

EMNLP26

MeetingToM: Evaluating Multimodal LLMs on Theory-of-Mind Reasoning in Multi-Party Meetings

Ziyi Wang^*, Yuhang Wu^*, Dongxu Piao, Xingyu Liu, Tianhui Zhou, Miao Liu

^* Equal Contribution

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

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EMNLP26

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models

Shuxiang Zhang, Yiting Yin, Wenxuan Song, Yuhang Wu^†, Miao Liu

^† Project Lead

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

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ACL26

Unleashing Spatial Reasoning in Multimodal Large Language Models via Textual Representation Guided Reasoning

Jiacheng Hua, Yishu Yin, Yuhang Wu, Tai Wang, Yifei Huang, Miao Liu

Annual Meeting of the Association for Computational Linguistics (ACL), 2026, Main Conference.

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ACL25

AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models

Yuhang Wu^*, Wenmeng Yu^*, Yean Cheng, Yan Wang, Xiaohan Zhang, Jiazheng Xu, Ming Ding, Yuxiao Dong

^* Equal Contribution

Annual Meeting of the Association for Computational Linguistics (ACL), 2025, Main Conference.

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Invited Talks

PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation
Invited Talk at the ECCV 2026 Pre-conference Event, Beijing Academy of Artificial Intelligence (BAAI), Aug. 20, 2026. Event Page

Industrial Experience

2025/08 — 2026/07

Bytedance Seed
Research Intern, Image Generation

Beijing

2024/01 — 2025/06

Zhipu AI
Research Intern, Multimodal Understanding

Beijing