About me

Greetings! I am a PhD student at Department of Computer and Information Science, University of Pennsylvania. Currently, I am working on event-centric NLP in Cognitive Computation Group, following Prof. Dan Roth. I am also fortunate to collaborate with Dr. Muhao Chen (assistant research professor at USC) and Dr. Hongming Zhang (senior research scientist at Tencent AI Lab).

I was an undergrad at Shanghai Jiao Tong University (上海交通大学), majoring in Information Engineering from 2015 to 2019. My undergraduate thesis was on network traffic optimization with deep reinforcement learning, under the supervision of Prof. Lingge Jiang. I was a visiting student of Natural Language Processing Group at UCSB in the summer of 2018, advised by Prof. William Yang Wang and Dr. Vivek Kulkarni. I did most of my undergrad research at the Machine Vision and Intelligence Group at SJTU, advised by Prof. Cewu Lu.

I am interested in applying machine learning algorithms to problems in Natural Language Processing, Computer Vision, and Networks. My ultimate academic goal is to design algorithms that are as cognitively capable as human beings in every meaningful dimensions.



[1] Haoyu Wang, Hongming Zhang, Muhao Chen, and Dan Roth. "Learning Constraints and Descriptive Segmentation for Subevent Detection", Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.

[2] Hongming Zhang, Haoyu Wang, and Dan Roth. "Zero-shot Label-Aware Event Trigger and Argument Classification", The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP) - Findings, 2021.

[3] Haoyang Wen, Ying Lin, Tuan M. Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi R. Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan W. Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji. "RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System", Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations), 2021.

[4] Muhao Chen, Hongming Zhang, Haoyu Wang, and Dan Roth. "What Are You Trying to Do? Semantic Typing of Event Processes", The SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2020. [Demo] [Code]

[5] Haoyu Wang, Muhao Chen, Hongming Zhang, and Dan Roth. "Joint Constrained Learning for Event-Event Relation Extraction", Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. [Video] [Code]

[6] Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, and Dan Roth. "Analogous Process Structure Induction for Sub-event Sequence Prediction", Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. [Code]

[7] Haoyu Wang, Vivek Kulkarni, and William Yang Wang. "DOLORES: Deep Contextualized Knowledge Graph Embeddings", Automated Knowledge Base Construction (AKBC), 2020. [Code]

[8] Yuliang Xiu *, Jiefeng Li *, Haoyu Wang, Yinghong Fang, and Cewu Lu. "Pose Flow: Efficient Online Pose Tracking", British Machine Vision Conference (BMVC), 2018. [Code]


[9] Haoyu Wang and Lingge Jiang. "A Study on Load Balancing Algorithm with Lightweight AI", undergraduate thesis, 2019.

[10] Zelin Zhao, Haoyu Wang *, Gao Peng *, Haoshu Fang, Chengkun Li, and Cewu Lu. "Estimating 6D Pose From Localizing Designated Surface Keypoints", arXiv preprint, 2018. [Code]

Research Projects

Short-term Programs