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2020 – today
- 2026
[c6]Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu:
Can Editing LLMs Inject Harm? AAAI 2026: 30192-30200- [c5]Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu:
Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm. AAAI 2026: 31113-31121 - [i15]Jiawei Xu, Arief Koesdwiady, Sisong Bei, Yan Han, Baixiang Huang, Dakuo Wang, Yutong Chen, Zheshen Wang, Peihao Wang, Pan Li, Ying Ding:
Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline. CoRR abs/2601.12307 (2026) - [i14]Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu:
Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR abs/2602.06052 (2026) - 2025
- [c4]Xiongxiao Xu
, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu:
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting. CIKM 2025: 3655-3665 - [c3]Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu:
Can Knowledge Editing Really Correct Hallucinations? ICLR 2025 - [i13]Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu:
Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm. CoRR abs/2506.20606 (2025) - [i12]Haoran Wang, Xiongxiao Xu, Baixiang Huang, Kai Shu:
Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation. CoRR abs/2508.03098 (2025) - [i11]Hongxin Ding, Baixiang Huang, Yue Fang, Weibin Liao, Xinke Jiang, Zheng Li, Junfeng Zhao, Yasha Wang:
ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs. CoRR abs/2508.13514 (2025) - [i10]Dawei Li, Zhen Tan, Chengshuai Zhao, Bohan Jiang, Baixiang Huang, Pingchuan Ma, Abdullah Alnaibari, Kai Shu, Huan Liu:
Who's Your Judge? On the Detectability of LLM-Generated Judgments. CoRR abs/2509.25154 (2025) - [i9]Hangcheng Cao, Baixiang Huang, Longzhi Yuan, Haonan An, Zihan Fang, Xianhao Chen, Yuguang Fang:
SAFE-D: A Spatiotemporal Detection Framework for Abnormal Driving Among Parkinson's Disease-like Drivers. CoRR abs/2510.17517 (2025) - [i8]Baixiang Huang, Limeng Cui, Jiapeng Liu, Haoran Wang, Jiawei Xu, Zhuiyue Tan, Yutong Chen, Chen Luo, Yi Liu, Kai Shu:
Towards Effective Model Editing for LLM Personalization. CoRR abs/2512.13676 (2025) - 2024
- [j3]Baixiang Huang, Canyu Chen, Kai Shu:
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges. SIGKDD Explor. 26(2): 21-43 (2024) - [c2]Baixiang Huang, Canyu Chen, Kai Shu:
Can Large Language Models Identify Authorship? EMNLP (Findings) 2024: 445-460 - [i7]Baixiang Huang, Canyu Chen, Kai Shu:
Can Large Language Models Identify Authorship? CoRR abs/2403.08213 (2024) - [i6]Xiongxiao Xu, Yueqing Liang, Baixiang Huang, Zhiling Lan, Kai Shu:
Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting. CoRR abs/2404.14757 (2024) - [i5]Xueying Zeng, Baixiang Huang, Yu Luo, Guangyu Wei, Songyan He, Yushuang Shao:
SAM-VMNet: Deep Neural Networks For Coronary Angiography Vessel Segmentation. CoRR abs/2406.00492 (2024) - [i4]Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu:
Can Editing LLMs Inject Harm? CoRR abs/2407.20224 (2024) - [i3]Baixiang Huang, Canyu Chen, Kai Shu:
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges. CoRR abs/2408.08946 (2024) - [i2]Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu:
Can Knowledge Editing Really Correct Hallucinations? CoRR abs/2410.16251 (2024) - 2023
- [c1]Baixiang Huang, Bryan Hooi, Kai Shu:
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks. SIGSPATIAL/GIS 2023: 105:1-105:4 - [i1]Baixiang Huang, Bryan Hooi, Kai Shu:
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks. CoRR abs/2304.08640 (2023)
2010 – 2019
- 2019
- [j2]Baixiang Huang, Wei Liu, Tian Wang, Xiong Li, Houbing Song, Anfeng Liu:
Deployment Optimization of Data Centers in Vehicular Networks. IEEE Access 7: 20644-20663 (2019) - 2018
- [j1]Baixiang Huang, Anfeng Liu, Chengyuan Zhang, Naixue Xiong, Zhiwen Zeng, Zhiping Cai:
Caching Joint Shortcut Routing to Improve Quality of Service for Information-Centric Networking. Sensors 18(6): 1750 (2018)
Coauthor Index
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