Xiusi Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
15
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Veri-R1: Toward Precise and Faithful Claim Verification via Online Reinforcement Learning. | Qi He, Cheng Qian, Xiusi Chen, Bingxiang He, Yi R. Fung, Heng Ji |
| 2026 | ACL | Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders. | Yupeng Hou, Jiacheng Li, Xiangjun Fu, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley |
| 2026 | ACL | PEARL: Self-Evolving Assistant for Time Management with Reinforcement Learning. | Bingxuan Li, Jeonghwan Kim, Cheng Qian, Xiusi Chen, Eitan Anzenberg, Niran Kundapur, Heng Ji |
| 2026 | ACL | Current Agents Fail to Leverage World Model as Tool for Foresight. | Cheng Qian, Emre Can Acikgoz, Bingxuan Li, Xiusi Chen, Yuji Zhang, Bingxiang He, Qinyu Luo, Gokhan Tur, Dilek Hakkani-Tr, Yunzhu Li, Heng Ji |
| 2026 | EACL | Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data Synthesis. | Shuhaib Mehri, Xiusi Chen, Heng Ji, Dilek Hakkani-Tr |
| 2025 | ACL | SMART: Self-Aware Agent for Tool Overuse Mitigation. | Cheng Qian, Emre Can Acikgoz, Hongru Wang, Xiusi Chen, Avirup Sil, Dilek Hakkani-Tr, Gokhan Tur, Heng Ji |
| 2025 | ACL | EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents. | Cheng Qian, Peixuan Han, Qinyu Luo, Bingxiang He, Xiusi Chen, Yuji Zhang, Hongyi Du, Jiarui Yao, Xiaocheng Yang, Denghui Zhang, Yunzhu Li, Heng Ji |
| 2025 | EMNLP | DecisionFlow: Advancing Large Language Model as Principled Decision Maker. | Xiusi Chen, Shanyong Wang, Cheng Qian, Hongru Wang, Peixuan Han, Heng Ji |
| 2025 | EMNLP | SafeSwitch: Steering Unsafe LLM Behavior via Internal Activation Signals. | Peixuan Han, Cheng Qian, Xiusi Chen, Yuji Zhang, Heng Ji, Denghui Zhang |
| 2025 | EMNLP | Profiling LLM's Copyright Infringement Risks under Adversarial Persuasive Prompting. | Jikai Long, Ming Liu, Xiusi Chen, Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang |
| 2025 | EMNLP | ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges. | Cheng Qian, Hongyi Du, Hongru Wang, Xiusi Chen, Yuji Zhang, Avirup Sil, ChengXiang Zhai, Kathleen McKeown, Heng Ji |
| 2025 | ICLR | Self-Updatable Large Language Models by Integrating Context into Model Parameters. | Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley |
| 2025 | ICLR | Large Scale Knowledge Washing. | Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley |
| 2025 | ICLR | Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search. | Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu |
| 2025 | KDD | SKnow-LLM Workshop: Structured Knowledge for Large Language Models. | Qi Zhu, Xiusi Chen, Yu Zhang, Soji Adeshina, Costas Mavromatis, Zhen Han, Vassilis N. Ioannidis, Leman Akoglu, Danai Koutra, Huzefa Rangwala |
| 2025 | NAACL | Semi-supervised Fine-tuning for Large Language Models. | Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang |
| 2025 | WWW | Chain-of-Factors Paper-Reviewer Matching. | Yu Zhang, Yanzhen Shen, SeongKu Kang, Xiusi Chen, Bowen Jin, Jiawei Han |
| 2025 | WSDM | Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation. | Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla |
| 2024 | ACL | 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 |
| 2024 | CIKM | PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion. | Xiusi Chen, Wei-Yao Wang, Ziniu Hu, David Reynoso, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang |
| 2024 | EMNLP | A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. | Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han |
| 2024 | ICDE | Data Science Tasks Implemented with Scripts versus GUI-Based Workflows: The Good, the Bad, and the Ugly. | Alexander K. Taylor, Yicong Huang, Junheng Hao, Xinyuan Lin, Xiusi Chen, Wei Wang, Chen Li |
| 2024 | ICML | 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 |
| 2024 | ICML | MEMORYLLM: Towards Self-Updatable Large Language Models. | 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 |
| 2024 | NAACL | IterAlign: Iterative Constitutional Alignment of Large Language Models. | Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang |
| 2023 | KDD | Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. | Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han |
| 2023 | SDM | Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. | Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang |
| 2022 | CIKM | 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 |
| 2022 | CIKM | Scalable Graph Representation Learning via Locality-Sensitive Hashing. | Xiusi Chen, Jyun-Yu Jiang, Wei Wang |
| 2022 | WSDM | MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. | Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han |
| 2021 | CIKM | #StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. | Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang |
| 2021 | ICWSM | 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 |
| 2021 | KDD | ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting. | Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang |
| 2021 | WSDM | Hierarchical Metadata-Aware Document Categorization under Weak Supervision. | Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han |
| 2020 | WWW | Few-Shot Learning for New User Recommendation in Location-based Social Networks. | Ruirui Li, Xian Wu, Xiusi Chen, Wei Wang |
| 2018 | AAAI | ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. | Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao |
| 2018 | ICDM | Doc2Cube: Allocating Documents to Text Cube Without Labeled Data. | Fangbo Tao, Chao Zhang, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance M. Kaplan, Jiawei Han |
| 2018 | KDD | 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 |