Email: xchen [AT] cs [DOT] ucla [DOT] edu
Office: 3551 Boelter Hall, 420 Westwood Plaza, Los Angeles, California 90066
I am currently a fourth-year Ph.D. candidate working with Prof. Wei Wang in the Department of Computer Science at University of California, Los Angeles. My research interests lie in data mining, natural language processing and reinforcement learning applications, especially graph mining, question answering and sports RL.
Before I started pursuing Ph.D., I got my M.S. and B.S. from Department of Computer Science, Peking University. During my M.S. years, I was a member of Graph Data Management and Analysis Group directed by Prof. Jun Gao. I also worked at University of Illinois, Urbana-Champaign and worked on several interesting topics in text mining, with Prof. ChengXiang Zhai.
I played for Peking University Men’s Basketball Varsity Team, Division II, during college.
I was born and raised in Changsha.
For further information, please see my CV.
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation
Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang and Wei Wang
Multi-variate Time Series Forecasting with Spatial-temporal Decomposition
Jinliang Deng, Du Yin, Yi Yang, Xiusi Chen, Jiewen Deng, Renhe Jiang, Xuan Song, Ivor W. Tsang
Learning Item Embedding with Heterogeneous Information for Collaborative Filtering
Xiusi Chen, Xiaoyu Li, Chang Zhou, Xiaofei Liu, Jun Gao
Scalable Graph Representation Learning via Locality-Sensitive Hashing
Xiusi Chen, Jyun-Yu Jiang and Wei Wang
ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games
Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, Jefferey Brantingham and Wei Wang
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song and Ivor W. Tsang
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information
Yu Zhang*, Shweta Garg*, Yu Meng, Xiusi Chen and Jiawei Han
COVID-19 Surveiller: Toward a Robust and Effective Pandemic Surveillance System based on Social Media Mining
Jyun-Yu Jiang, Yichao Zhou, Xiusi Chen, Yan-Ru Jhou, Liqi Zhao, Sabrina Liu, Po-Chun Yang, Jule Ahmar, Wei Wang
Philosophical Transactions A, 2022
#StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs
Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen and Wei Wang
ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, and Ivor W. Tsang
Evaluating audience loyalty and authenticity in influencer marketing via multi-task multi-relational learning
Seungbae Kim, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han, and Wei Wang
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting
Jinliang Deng, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, and Ivor W. Tsang
Hierarchical Metadata-Aware Document Categorization under Weak Supervision
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han
Self-Attentive Few-Shot Learning for New User Recommendation in Location-based Social Networks
Ruirui Li, Xian Wu, Xiusi Chen, Wei Wang
Doc2Cube: Allocating Documents to Text Cube without Labeled Data
Fangbo Tao*, Chao Zhang*, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance Kaplan, Jiawei Han
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering
Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian Sadler, Michelle Vanni, Jiawei Han
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation
Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao
The Design and Implementation of Index on Distributed Big Graph Processing System
Xiusi Chen, Qimu Zheng, Jun Gao
Demo of a Semi-Supervised Method Based System to Detect Advertisements from QA pairs
Xiusi Chen, Xiaoyu Li, Jun Gao
Knowledge graph and alignment with uncertainty embedding
Wenchao Yu, Bo Zong, Wei Cheng, Haifeng Chen, Xiusi Chen
US Patent App. 17/060,850
Conference Program Committee
KDD 2020,2022; WSDM 2022-2023; SSL@WWW 2021;
NeurIPS 2022; ICLR 2022; AAAI 2021-2023; IJCAI-ECAI 2022;
ACL Rolling Review
KDD 2018, CIKM 2018, WISE 2018, IJCAI 2019
IEEE Transactions on Big Data (TBD).
Honors and Awards
2021, 2022 SIGIR Student Travel Grant, ACM SIGIR
2016, 2017 Graduate Student Acedemic Scholarship, Peking University
2016 Leo KoGuan Scholarshop, Peking University
2016 Merit Student, Peking University
2016 2nd Place of National Database Conference (NDBC) Cup 2016, China Computer Federation
2016 3rd Prize of 15th Peking University ACM Programming Contest, Peking University
2014 3rd Place of 17th Chinese University Basketball Association (CUBA) Championships, Beijing Division, Federation of University Sports of China
2010 6th Place of the Middle School Students Swimming Contest of Hunan Province, 100M Breaststroke, The Education Department of Hunan Province
- I played for Peking University Men’s Basketball varsity team, division II.
- I was a registered swimming athlete in China during high school.