Caching Joint Shortcut Routing to Improve Quality of Service for Information-Centric Networking. - Baixiang Huang; Anfeng Liu; Chengyuan Zhang 001; Naixue Xiong; Zhiwen Zeng; Zhiping Cai (Sensors, 2018)

Deployment Optimization of Data Centers in Vehicular Networks. - Baixiang Huang; Wei Liu 077; Tian Wang 001; Xiong Li 002; Houbing Song; Anfeng Liu (IEEE Access, 2019)

TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks. - Baixiang Huang; Bryan Hooi; Kai Shu (SIGSPATIAL/GIS, 2023)

Can Large Language Models Identify Authorship? - Baixiang Huang; Canyu Chen; Kai Shu (EMNLP (Findings), 2024)

Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting. - Xiongxiao Xu; Yueqing Liang; Baixiang Huang; Zhiling Lan; Kai Shu (CoRR, 2024)

SAM-VMNet: Deep Neural Networks For Coronary Angiography Vessel Segmentation. - Xueying Zeng; Baixiang Huang; Yu Luo; Guangyu Wei; Songyan He; Yushuang Shao (CoRR, 2024)

Can Editing LLMs Inject Harm? - Canyu Chen; Baixiang Huang; Zekun Li 008; Zhaorun Chen; Shiyang Lai; Xiongxiao Xu; Jia-Chen Gu; Jindong Gu; Huaxiu Yao; Chaowei Xiao; Xifeng Yan; William Yang Wang; et al. (CoRR, 2024)

Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges. - Baixiang Huang; Canyu Chen; Kai Shu (SIGKDD Explor., 2024)

Can Knowledge Editing Really Correct Hallucinations? - Baixiang Huang; Canyu Chen; Xiongxiao Xu; Ali Payani; Kai Shu (ICLR, 2025)

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm. - Baixiang Huang; Zhen Tan 001; Haoran Wang 005; Zijie Liu; Dawei Li 008; Ali Payani; Huan Liu 001; Tianlong Chen 001; Kai Shu (CoRR, 2025)

Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation. - Haoran Wang 005; Xiongxiao Xu; Baixiang Huang; Kai Shu (CoRR, 2025)