About

Greetings! My name is Qi Zeng (曾琪).

I am a Ph.D. candidate in Computer Science at University of Illinois Urbana-Champaign. My focus of research area is Natural Language Processing (NLP), especially Long Document Understanding:

Efficient Transformers for Long Sequence Processing
Document-level Event Extraction and Representation
Consistent Document Summarization

If you are interested in research collaboration feel free to contact me at qizeng2 [AT] illinois [DOT] edu.

I work hard so my cats Peanut Butter and Honey Butter can have a better life.

Education

University of Illinois Urbana-Champaign

PhD in Computer Science, 2019 - 12/2023 (expected)
MS in Computer Science (on the way to PhD)
Graduate Research Assistant at Blender Lab, Advisor: Prof. Heng Ji
David J. Kuck Outstanding M.S. Thesis Award

Peking University

BS in Information Science, 2014 - 2018
Previously majored in Germen Language and Literature, 2013 - 2014
Undergraduate Reseach Assistant at Language Computing and Machine Learning Group, Advisor: Prof. Xu Sun

Internship

Google Brain, Research Intern, 2023 Summer
Amazon Search, Query Understanding Team, Research Intern, 2022 Summer
Microsoft Research, Cognitive Services Research Group, Research Intern, 2021 Summer
Allen Institute for Artificial Intelligence (AI2), AllenNLP Team, Research Intern, 2020 Summer
ByteDance AI Lab, MLNLP Group, Research Intern, 2019 Summer
Microsoft Research Asia, Big Data Mining Group, Research Intern, 2018 Spring
Microsoft Search Technology Center Asia, XiaoIce Group, Software Engineer Intern, 2017 Spring

Publications

[Google Scholar]. [DBLP]. [Semantic Scholar].

* means equal contribution.

2022

Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning
Yinglun Xu, Qi Zeng, Gagandeep Singh
arXiv:2205.14842
[PDF] [Code]
RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios
Xinya Du, Zixuan Zhang, Sha Li, Pengfei Yu, Hongwei Wang, Tuan Lai, Xudong Lin, Ziqi Wang, Iris Liu, Ben Zhou, Haoyang Wen, Manling Li, Darryl Hannan, Jie Lei, Hyounghun Kim, Rotem Dror, Haoyu Wang, Michael Regan, Qi Zeng, QING LYU, Charles Yu, Carl Edwards, Xiaomeng Jin, Yizhu Jiao, Ghazaleh Kazeminejad, Zhenhailong Wang, Chris Callison-Burch, Mohit Bansal, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Martha Palmer, Heng Ji
NAACL 2022 (Demo Paper)
[PDF] [Code]
EA$^2$E: Improving Consistency with Event Awareness for Document-level Argument Extraction
Qi Zeng*, Qiusi Zhan*, Heng Ji
NAACL 2022 (Short Paper)
[PDF] [Code]
Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences
Yifan Chen*, Qi Zeng*, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang
NAACL 2022
[PDF] [Code]

2021

Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr"om Method
Yifan Chen*, Qi Zeng*, Heng Ji, Yun Yang
NeurIPS 2021
[PDF] [Code] [Poster]. [Appendix]
GENE: Global Event Network Embedding
Qi Zeng, Manling Li, Tuan Lai, Heng Ji, Mohit Bansal, Hanghang Tong
NAACL 2021 (TextGraphs-15 Workshop)
[PDF] [Code]

2020

GAIA at SM-KBP 2020 - A Dockerlized Multi-media Multi-lingual Knowledge Extraction, Clustering, Temporal Tracking and Hypothesis Generation System
Manling Li, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Haoyang Wen, Lifu Huang, Zhenhailong Wang, Pengfei Yu, Di Lu, Qingyun Wang, Haoran Zhang, Qi Zeng, Chi Han, Zixuan Zhang, Yujia Qin, Xiaodan Hu, Nikolaus Parulian, Daniel Campos, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro Szekely, T.K. Satish Kumar, Arka Sadhu, Haidong Zhu, Ram Nevatia, Miguel Rodriguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang
TAC 2020 (Text Analysis Conference)
[PDF]
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, Nazneen Fatema Rajani
INLG 2020
[PDF] [Code]
Connecting the Dots: Event Graph Schema Induction with Path Language Modeling
Manling Li, Qi Zeng, Ying Lin, Kyunghyun Cho, Heng Ji, Jonathan May, Nathanael Chambers, Clare Voss
EMNLP 2020
[PDF] [Code]
Cross-media Structured Common Space for Multimedia Event Extraction.
Manling Li*, Alireza Zareian*, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji, Shih-Fu Chang
ACL 2020
[PDF] [Code]

2019

LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification
Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang, Xu Sun
EMNLP 2019
[PDF] [Code]
Asking Clarification Questions in Knowledge-Based Question Answering
Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun
EMNLP 2019
[PDF] [Code]
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations
Jingjing Xu*, Guangxiang Zhao*, Qi Zeng, Xuancheng Ren, Xu Sun
NAACL 2019
[PDF] [Code]
Text Assisted Insight Ranking Using Context-Aware Memory Network
Qi Zeng*, Liangchen Luo*, Wenhao Huang, Yang Tang
AAAI 2019
[PDF] [Poster]
Learning Personalized End-to-End Goal-Oriented Dialog
Liangchen Luo, Wenhao Huang, Qi Zeng, Xu Sun, Zaiqing Nie
AAAI 2019
[PDF] [Poster]

2018

An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation
Jingjing Xu*, Liangchen Luo*, Junyang Lin, Qi Zeng, Xu Sun
EMNLP 2018 (Short Paper)
[PDF] [CODE] [Poster]
A Skeleton-Based Model for Promoting Coherence in Narrative Story Generation
Jingjing Xu, Xuancheng Ren, Yi Zhang, Qi Zeng, Xiaoyan Cai, Xu Sun
EMNLP 2018
[PDF] [CODE]
Unpaired Sentiment-to-Sentiment Translation Using Cycled Reinforcement Learning
Jingjing Xu, Xu Sun, Qi Zeng, Xuancheng Ren, Xiaodong Zhang, Houfeng Wang, Wenjie Li
ACL 2018
[PDF] [CODE] [SLIDES]

Mentorship

Shitong Dai, BS@RUC, 2023
Mankeerat Singh Sidhu, BS@UIUC, 2023
Qiusi Zhan, MS@UIUC, 2022

Office: Room 1115, Siebel Center for Computer Science, 201 N. Goodwin Ave, Urbana, IL 61801

Updated: 02/2023