Hi there! I’m Zhenhailong Wang (王镇海龙). I am a second year Ph.D. in Computer Science at University of Illinois Urbana-Champaign (UIUC) advised by Prof. Heng Ji. Expected graduation in May 2026. Before that, I got my M.S. in Computer Science and Civil Engineering from UIUC and B.S. from Zhejiang University.
My Research
My research focuses on building large multimodal models with human-like perception and reasoning in complex environments. I aim to equip them with the ability to perceive, decide, interact, and learn using system-2 reasoning—engaging in deeper, more thoughtful processes for smarter decisions. For my most recent publications, please check my Google Scholar. I have also been actively involved in several multi-institute research efforts including ECOLE, KAIROS, and AIDA.
Selected Publications
Visually Descriptive Language Model for Vector Graphics Reasoning [Paper] [Project Page]
Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji
under reviewDo LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning [Paper] [Project Page]
Kung-Hsiang Huang, Mingyang Zhou, Hou Pong Chan, Yi R. Fung, Zhenhailong Wang, Lingyu Zhang, Shih-Fu Chang, Heng Ji
ACL 2024 FindingsUnleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration [Paper] [Code]
Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, Heng Ji
NAACL 2024Paxion: Patching Action Knowledge in Video-Language Foundation Models [Paper] [Code]
Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji
NeurIPS 2023 SpotlightRCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought [Paper]
Tianci Xue, Ziqi Wang, Zhenhailong Wang, Chi Han, Pengfei Yu, Heng Ji
Arxiv preprintZemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks [Paper] [Code]
Zhenhailong Wang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen, Heng Ji
ACL 2023 FindingsA Language First Approach for Procedural Planning [Paper]
Jiateng Liu, Sha Li, Zhenhailong Wang, Manling Li and Heng Ji
ACL 2023 FindingsLanguage Models with Image Descriptors are Strong Few-Shot Video-Language Learners [Paper][Video] [Code]
Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji
NeurIPS 2022NewsClaims: A New Benchmark for Claim Detection from News with Background Knowledge [Paper] [Code]
Revanth Gangi Reddy, Sai Chetan, Zhenhailong Wang, Yi R. Fung, Kathryn Conger, Ahmed Elsayed, Martha Palmer, Preslav Nakov, Eduard Hovy, Kevin Small, Heng Ji
EMNLP 2022
Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification [PDF] [Code]
Zhenhailong Wang, Heng Ji
AAAI 2022The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction [Paper] [Code]
Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han and Clare Voss
EMNLP 2021
Experience
- 06/2024 - present, Salesforce AI Research
- Research Intern
- Mentor: Senthil Purushwalkam, Congying Xia, Ran Xu.
- Focus: Visual Tokenization, Generative Models
- 05/2023 - 08/2023, Microsoft Research Asia
- Research Intern
- Mentor: Tao Ge, Shaoguang Mao, Wenshan Wu.
- Focus: Large language models, Cognitive Synergy
- 05/2022 - 08/2022, Tencent AI Lab
- Research Intern
- Mentor: Xiaoman Pan, Dian Yu, Jianshu Chen.
- Focus: Zero-shot semi-parametric language models
- 01/2022 - 05/2022, Microsoft Research
- Collaboration on project VidIL
- Working with Ruochen Xu, Luowei Zhou, Shuohang Wang, Ziyi Yang, Chenguang Zhu.
- 07/2020 - Present, BLENDER Lab
- Graduate Research Assistant
- Advisor: Prof. Heng Ji
- Focus: Information Extraction and Multimodal Models
- 09/2019 - 08/2020, RAAMAC Lab
- Undergraduate Research Assistant
- Advisor: Prof. Mani Golparvar-Fard
- Focus: Autonomous construction performance monitoring
Education
- University of Illinois at Urbana-Champaign
- Ph.D. in Computer Science, 2023 - Present; Advisor: Prof. Heng Ji
- M.S. in Computer Science, 2021 - 2023; Advisor: Prof. Heng Ji
- M.S. in Civil Engineering, 2019 - 2021; Advisor: Prof. Mani Golparvar-Fard
- GPA: 3.98/4.0
- Zhejiang University
- B.S. in Civil Engineering, 2016 - 2020
- GPA: 3.92/4.0
- Zhejiang Province Government Scholarship (<2%)
- Acadamic Scholarship (<8%)
Invited Talk, Service
- 12/6/2022: Microsoft Research NLP PhD Student Invited Talk (Knowledge and Language Team)
- 2/16/2023: AI-Time Neurips 2022 Event
- 3/9/2024: LLM and AI Agent Reading Group
- Fall 2024: Teaching Assistant for CS 546: Advanced Topics in Natural Language Processing, with a guest lecture on LLM-based Agents.
Miscellaneous
- A short film written and directed by me, ft.ITP (dialogue in Chinese :)