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ORCIDXiusi Chen
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2020 – today
- 2024
[b1]Xiusi Chen:
One Step towards Autonomous AI Agent: Reasoning, Alignment and Planning. University of California, Los Angeles, USA, 2024- [c20]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: 254-266 - [c19]Xiusi Chen
, Wei-Yao Wang, Ziniu Hu, David Reynoso, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang:
PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion. CIKM 2024: 4406-4413 - [c18]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. EMNLP 2024: 8783-8817 - [c17]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: 267-277 - [c16]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. ICML 2024 - [c15]Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian J. McAuley:
MEMORYLLM: Towards Self-Updatable Large Language Models. ICML 2024 - [c14]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: 1423-1433 - [i25]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 abs/2401.13849 (2024) - [i24]Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla:
TinyLLM: Learning a Small Student from Multiple Large Language Models. CoRR abs/2402.04616 (2024) - [i23]Yu Wang, Xiusi Chen, Jingbo Shang, Julian J. McAuley:
MEMORYLLM: Towards Self-Updatable Large Language Models. CoRR abs/2402.04624 (2024) - [i22]Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley:
Bridging Language and Items for Retrieval and Recommendation. CoRR abs/2403.03952 (2024) - [i21]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 abs/2403.18341 (2024) - [i20]Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley:
Large Scale Knowledge Washing. CoRR abs/2405.16720 (2024) - [i19]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 abs/2406.10833 (2024) - [i18]Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu:
Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search. CoRR abs/2408.10635 (2024) - [i17]Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian J. McAuley:
Towards LifeSpan Cognitive Systems. CoRR abs/2409.13265 (2024) - [i16]Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley:
Self-Updatable Large Language Models with Parameter Integration. CoRR abs/2410.00487 (2024) - [i15]Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang:
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation. CoRR abs/2410.14745 (2024) - [i14]Jonathan Light, Sixue Xing, Yuanzhe Liu, Weiqin Chen, Min Cai, Xiusi Chen, Guanzhi Wang, Wei Cheng, Yisong Yue, Ziniu Hu:
PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making. CoRR abs/2411.15998 (2024) - 2023
- [j2]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): 7665-7680 (2023) - [c13]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: 3458-3469 - [c12]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: 909-917 - [i13]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 abs/2305.13036 (2023) - [i12]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 abs/2306.04090 (2023) - [i11]Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang:
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. CoRR abs/2306.04101 (2023) - [i10]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 abs/2306.14003 (2023) - [i9]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 abs/2310.05007 (2023) - [i8]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 abs/2310.07815 (2023) - [i7]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 abs/2310.14483 (2023) - 2022
- [c11]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: 3023-3032 - [c10]Xiusi Chen, Jyun-Yu Jiang, Wei Wang:
Scalable Graph Representation Learning via Locality-Sensitive Hashing. CIKM 2022: 3878-3882 - [c9]Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han:
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. WSDM 2022: 1357-1367 - 2021
- [j1]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): 103:1-103:25 (2021) - [c8]Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang:
#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. CIKM 2021: 2738-2748 - [c7]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: 278-289 - [c6]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: 269-278 - [c5]Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han:
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. WSDM 2021: 770-778 - [i6]Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang:
#StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. CoRR abs/2108.03670 (2021) - [i5]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 abs/2109.01657 (2021) - [i4]Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han:
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. CoRR abs/2111.04022 (2021) - 2020
- [c4]Ruirui Li, Xian Wu, Xiusi Chen, Wei Wang:
Few-Shot Learning for New User Recommendation in Location-based Social Networks. WWW 2020: 2472-2478 - [i3]Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han:
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. CoRR abs/2010.13556 (2020)
2010 – 2019
- 2018
- [c3]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: 4564-4571 - [c2]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: 1260-1265 - [c1]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: 2701-2709 - [i2]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 abs/1812.09551 (2018) - 2017
- [i1]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 abs/1711.06632 (2017)
Coauthor Index
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