Xiusi Chen

According to our database, Xiusi Chen authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

IterAlign: Iterative Constitutional Alignment of Large Language Models.

Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang

CoRR, 2024

Bridging Language and Items for Retrieval and Recommendation.

Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley

CoRR, 2024

MEMORYLLM: Towards Self-Updatable Large Language Models.

Yu Wang, Xiusi Chen, Jingbo Shang, Julian J. McAuley

CoRR, 2024

TinyLLM: Learning a Small Student from Multiple Large Language Models.

Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla

CoRR, 2024

TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance.

Haorui Wang, Rongzhi Zhang, Yinghao Li, Lingkai Kong, Yuchen Zhuang, Xiusi Chen, Chao Zhang

CoRR, 2024

2023

A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting.

Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang

IEEE Trans. Knowl. Data Eng., August, 2023

"Why Should I Review This Paper?" Unifying Semantic, Topic, and Citation Factors for Paper-Reviewer Matching.

Yu Zhang, Yanzhen Shen, Xiusi Chen, Bowen Jin, Jiawei Han

CoRR, 2023

Language Models As Semantic Indexers.

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

CoRR, 2023

MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering.

Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang

CoRR, 2023

Professional Basketball Player Behavior Synthesis via Planning with Diffusion.

Xiusi Chen, Wei-Yao Wang, Ziniu Hu, Curtis Chou, Lam Hoang, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang

CoRR, 2023

Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting.

Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang

CoRR, 2023

Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation.

Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers.

Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information.

Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Scalable Graph Representation Learning via Locality-Sensitive Hashing.

Xiusi Chen, Jyun-Yu Jiang, Wei Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games.

Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting.

Jinliang Deng, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, Ivor W. Tsang

ACM Trans. Knowl. Discov. Data, 2021

Hierarchical Metadata-Aware Document Categorization under Weak Supervision.

Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han

Proceedings of the WSDM '21, 2021

ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting.

Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning.

Seungbae Kim, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han, Wei Wang

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs.

Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Few-Shot Learning for New User Recommendation in Location-based Social Networks.

Ruirui Li, Xian Wu, Xiusi Chen, Wei Wang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2018

TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering.

Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Doc2Cube: Allocating Documents to Text Cube Without Labeled Data.

Fangbo Tao, Chao Zhang, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance M. Kaplan, Jiawei Han

Proceedings of the IEEE International Conference on Data Mining, 2018

ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation.

Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018