Wuqiang Zheng | University of Science and Technology of China

About Me

I am an undergraduate student majoring in Data Science at the University of Science and Technology of China (USTC). Currently, I am a research intern at the LDS Lab at USTC, advised by Prof.Wenjie Wang and Prof.Fuli Feng. Besides, I am also a research intern at the CSAIL Lab at MIT, advised by Prof.Wojciech Matusik. My research interests lie in NLP, particularly Large Language Models (LLMs).

Research Interests

My research interests focus on advancing the training of Large Language Models to enhance their core capabilities in understanding, reasoning, and generation, with three interconnected technical dimensions:

From the data perspective, investigating methodologies for constructing, acquiring, and filtering high-quality training data to maximize the efficacy of model training.
From the algorithm perspective, exploring the design of more stable and efficient training algorithms that adapt to diverse task characteristics, ensuring robust model performance across scenarios.
From the training paradigm perspective, developing innovative, high-performance paradigms (e.g., enabling models to learn from interaction with humans/environments, test-time dynamic learning) to bridge the gap between general pre-training and real-world downstream task demands.

Education & Experience

MIT, CSAIL
Research Intern, 2025 – present
Advised by Prof. Wojciech Matusik

USTC, LDS
Research Intern, 2024 – present
Advised by Prof. Wenjie Wang and Prof. Fuli Feng

USTC
B.S. in Data Science, 2022 – present

News

[Apr. 2026] One paper is accepted to SIGIR 2026!
[Apr. 2026] One paper is accepted to ACL 2026 Findings!
[Nov. 2025] One paper about academic paper evaluation leveraging LLMs is accepted to AAAI 2026 (Oral)!
[Jul. 2025] Our paper about personalized image generation leveraging LMMs is accepted to ACM MM 2025 (Oral)!

Selected Awards

[Sep. 2025] National Scholarship

Publications

SIGIR 2026 Resources Track

AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment

Jianfei Xiao, Xiang Yu, Chengbing Wang, Wuqiang Zheng, Xinyu Lin, Kaining Liu, Hongxun Ding, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval

PDF Code

ACL 2026 Findings

PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models

Chengbing Wang*, Wuqiang Zheng*, Yang Zhang, Fengbin Zhu, Junyi Cheng, Yi Xie, Wenjie Wang, Fuli Feng

The 64th Annual Meeting of the Association for Computational Linguistics

PDF Code

AAAI 2026

Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent Reasoning

Wuqiang Zheng, Yiyan Xu, Xinyu Lin, Chongming Gao, Wenjie Wang, Fuli Feng

The 40th Annual AAAI Conference on Artificial Intelligence

PDF Code Oral Presentation

ACMMM 2025

DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition

Yiyan Xu, Wuqiang Zheng, Wenjie Wang, Fengbin Zhu, Xinting Hu, Yang Zhang, Fuli Feng, Tat-Seng Chua

ACM International Conference on Multimedia (ACM MM), 2025.

PDF Code Oral Presentation

Services

Conference Reviewers

Annual AAAI Conference on Artificial Intelligence 2026