Xiusi Chen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 38

Top Topics

Weakly Supervised

Relational Learning

Top Venues

Publications

Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley
Bridging Language and Items for Retrieval and Recommendation. CoRR (2024)
Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. ACL (1) (2024)
Haorui Wang, Rongzhi Zhang, Yinghao Li, Lingkai Kong, Yuchen Zhuang, Xiusi Chen, Chao Zhang
TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance. CoRR (2024)
Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. CoRR (2024)
Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang
IterAlign: Iterative Constitutional Alignment of Large Language Models. NAACL-HLT (2024)
Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang
IterAlign: Iterative Constitutional Alignment of Large Language Models. CoRR (2024)
Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley
Large Scale Knowledge Washing. CoRR (2024)
Alexander K. Taylor, Yicong Huang, Junheng Hao, Xinyuan Lin, Xiusi Chen, Wei Wang, Chen Li
Data Science Tasks Implemented with Scripts versus GUI-Based Workflows: The Good, the Bad, and the Ugly. ICDEW (2024)
Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla
TinyLLM: Learning a Small Student from Multiple Large Language Models. CoRR (2024)
Yu Wang, Xiusi Chen, Jingbo Shang, Julian J. McAuley
MEMORYLLM: Towards Self-Updatable Large Language Models. CoRR (2024)
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. CoRR (2023)
Yu Zhang, Yanzhen Shen, Xiusi Chen, Bowen Jin, Jiawei Han
"Why Should I Review This Paper?" Unifying Semantic, Topic, and Citation Factors for Paper-Reviewer Matching. CoRR (2023)
Xiusi Chen, Wei-Yao Wang, Ziniu Hu, Curtis Chou, Lam Hoang, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang
Professional Basketball Player Behavior Synthesis via Planning with Diffusion. CoRR (2023)
Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. CoRR (2023)
Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. CoRR (2023)
Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. KDD (2023)
Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang
Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting. CoRR (2023)
Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. SDM (2023)
Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang
Language Models As Semantic Indexers. CoRR (2023)
Xiusi Chen, Jyun-Yu Jiang, Wei Wang
Scalable Graph Representation Learning via Locality-Sensitive Hashing. CIKM (2022)
Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang
ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games. CIKM (2022)
Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. WSDM (2022)
Jinliang Deng, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, Ivor W. Tsang
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. CoRR (2021)
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. WSDM (2021)
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting. CoRR (2021)
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting. KDD (2021)
Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang
#StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. CoRR (2021)
Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang
#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. CIKM (2021)
Seungbae Kim, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han, Wei Wang
Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning. ICWSM (2021)
Ruirui Li, Xian Wu, Xiusi Chen, Wei Wang
Few-Shot Learning for New User Recommendation in Location-based Social Networks. WWW (2020)
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. CoRR (2020)
Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. CoRR (2018)
Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. KDD (2018)
Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. AAAI (2018)
Fangbo Tao, Chao Zhang, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance M. Kaplan, Jiawei Han
Doc2Cube: Allocating Documents to Text Cube Without Labeled Data. ICDM (2018)
Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. CoRR (2017)