Hi there! I’m Zhenhailong Wang (王镇海龙). I am a first year Ph.D. in Computer Science at University of Illinois Urbana-Champaign (UIUC). Before that, I got my M.S. in Computer Science and Civil Engineering from UIUC and B.S. from Zhejiang University. I am working as a graduate research assistant with Prof. Heng Ji at BLENDER lab. Prior to BLENDER, I worked at RAAMAC lab advised by Prof. Mani Golparvar-Fard.
My research interest lies in generalizable multimodal natural language processing. My first-authored papers have been published at NeurIPS23, ACL23, NeurIPS22, and AAAI22. I have been actively involved in several multi-institute research efforts including DARPA ECOLE, KAIROS, AIDA and GAILA.
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%)
Publication
Text-based Reasoning About Vector Graphics [Paper] [Project Page]
Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji
under reviewUnleashing 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
under reviewZemi: 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 2022Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning [PDF] [Code]
Zhenhailong Wang, Hang Yu, Manling Li, Han Zhao, Heng Ji
COLING 2022 (MMMPIE Workshop)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 2021RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios [Paper] [Code] [Demo] [Video]
Xinya Du, Zixuan Zhang, Sha Li, and 27 others including Zhenhailong Wang
NAACL 2022 DemoRESIN: A Dockerlized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System [Paper] [Code] [Video]
Haoyang Wen, Ying Lin, Tuan Lai, Xiaoman Pan, Sha Li, and 21 others including Zhenhailong Wang
NAACL 2021 DemoGAIA at SM-KBP 2020 - A Dockerized Multi-media Multi-lingual Knowledge Extraction, Clustering, Temporal Tracking and Hypothesis Generation System [Paper] [Project]
Manling Li, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Haoyang Wen, Sha Li, Zhenhailong Wang, and 34 others
TAC-KBP 2020 Demo
Experience
- 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
- 09/2019 - 08/2020, RAAMAC Lab
- Undergraduate Research Assistant
- Advisor: Prof. Mani Golparvar-Fard
- Focus: autonomous construction performance monitoring
Invited Talk
- 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
Miscellaneous
- A short film written and directed by me, ft.ITP (dialogue in Chinese :)