About Me

I am currently a Research Scientist at Meta. I got my PhD from College of Information of the University of Maryland, College Park, advised by Prof. We Ai and Prof. Furong Huang. I obtained my B.S. in Data Science from University of Michigan and another B.S. in Electrical Computer Engineering in Shanghai Jiaotong University in 2020.

View My Full CV here.

Research Interests

My research focuses on post-training large language models to enhance their robustness and reliability.

I am also interested in applied areas of natural language processing, particularly in computational social science.

Publications

• Xiaoyu Liu, Jiaxin Yuan, Yuhang Zhou, Jingling Li, Furong Huang, Wei Ai.
  CSRec: Rethinking Sequential Recommendation from A Causal Perspective
  SIGIR, 2025
• Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah, Danai Koutra.
  Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning
  CVPR, 2025
• Yuhang Zhou, Giannis Karamanolakis, Victor Soto, Anna Rumshisky, Mayank Kulkarni, Furong Huang, Wei Ai, Jianhua Lu.
  MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs
  NAACL Main, 2025
• Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Furong Huang, Cao Xiao.
  Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
  NAACL Findings, 2025
• Xiaoyu Liu^*, Paiheng Xu^*, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian McAuley, Wei Ai, Furong Huang.
  Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
  NAACL Findings, 2025
• Paiheng Xu^*, Yuhang Zhou^*, Bang An, Wei Ai, Furong Huang.
  GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
  ACM Transactions on Knowledge Discovery from Data, 2025 (TKDD 2025)
• Yuhang Zhou, Paiheng Xu, Xiyao Wang, Xuan Lu, Ge Gao, Wei Ai.
  Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications
  International AAAI Conference on Web and Social Media, 2025 (ICWSM 2025)
• Yuhang Zhou^*, Jing Zhu^*, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang.
  Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
  EMNLP Findings, 2024
• Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang.
  Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
  ACL Main, 2024
• Yuhang Zhou, Wei Ai.
  Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios
  ACL Findings, 2024
• Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang.
  Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
  ACL Main, 2024
• Jing Zhu^* Yuhang Zhou^*, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra.
  Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices
  ACM International Conference on Web Search and Data Mining, 2024 (WSDM 2024)
• Yuhang Zhou, Xuan Lu, Ge Gao, Qiaozhu Mei, Wei Ai.
  Emoji Promotes Developer Participation and Issue Resolution on GitHub
  International AAAI Conference on Web and Social Media, 2024 (ICWSM 2024)
• Yuhang Zhou^*, Suraj Maharjan^*, Beiye Liu.
  Scalable Prompt Generation for Semi-supervised Learning with Language Models
  EACL Findings, 2023
• Yuhang Zhou, Wei Ai.
  #Emoji: A Study on the Association between Emojis and Hashtags on Twitter
  International AAAI Conference on Web and Social Media, 2022 (ICWSM 2022)
• Oana Ignat, Santiago Castro, Yuhang Zhou, Jiajun Bao, Dandan Shan, Rada Mihalcea.
  When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs
  Transactions on Multimedia Computing Communications and Applications, 2022 (TOMM 2022)
• Luke J. DeRoos, Yuhang Zhou, Wesley J. Marrero, Elliot B. Tapper, Christopher J. Sonnenday, Mariel S. Lavieri, David W. Hutton, and Neehar D. Parikh.
  Assessment of National Organ Donation Rates and Organ Procurement Organization Metrics.
  JAMA Surgery, 2020
^*: equal contribution

Industrial Experiences

• Applied Scientist Intern at Amazon AGI, 2024.5 - 2024.8
• Applied Scientist Intern at Amazon Alexa AI, 2023.5 - 2023.8
• Applied Scientist Intern at Amazon Alexa AI, 2022.5 - 2022.8
• Research Intern at Alibaba Group, 2021.5 - 2021.8