Baixiang Huang

According to our database, Baixiang Huang authored at least 20 papers between 2018 and 2026.

Collaborative distances:

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

2026

Leveling3D: Leveling Up 3D Reconstruction with Feed-Forward 3D Gaussian Splatting and Geometry-Aware Generation.

Yiming Huang, Baixiang Huang, Beilei Cui, Chi Kit Ng, Long Bai, Hongliang Ren

CoRR, March, 2026

Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey.

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

CoRR, February, 2026

Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline.

Jiawei Xu, Arief Koesdwiady, Sisong Bei, Yan Han, Baixiang Huang, Dakuo Wang, Yutong Chen, Zheshen Wang, Peihao Wang, Pan Li, Ying Ding

CoRR, January, 2026

Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm.

Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Can Editing LLMs Inject Harm?

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Towards Effective Model Editing for LLM Personalization.

Baixiang Huang, Limeng Cui, Jiapeng Liu, Haoran Wang, Jiawei Xu, Zhuiyue Tan, Yutong Chen, Chen Luo, Yi Liu, Kai Shu

CoRR, December, 2025

SAFE-D: A Spatiotemporal Detection Framework for Abnormal Driving Among Parkinson's Disease-like Drivers.

Hangcheng Cao, Baixiang Huang, Longzhi Yuan, Haonan An, Zihan Fang, Xianhao Chen, Yuguang Fang

CoRR, October, 2025

Who's Your Judge? On the Detectability of LLM-Generated Judgments.

Dawei Li, Zhen Tan, Chengshuai Zhao, Bohan Jiang, Baixiang Huang, Pingchuan Ma, Abdullah Alnaibari, Kai Shu, Huan Liu

CoRR, September, 2025

ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs.

Hongxin Ding, Baixiang Huang, Yue Fang, Weibin Liao, Xinke Jiang, Zheng Li, Junfeng Zhao, Yasha Wang

CoRR, August, 2025

Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation.

Haoran Wang, Xiongxiao Xu, Baixiang Huang, Kai Shu

CoRR, August, 2025

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm.

Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu

CoRR, June, 2025

Can Knowledge Editing Really Correct Hallucinations?

Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting.

Xiongxiao Xu, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges.

Baixiang Huang, Canyu Chen, Kai Shu

SIGKDD Explor., December, 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

Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting.

Xiongxiao Xu, Yueqing Liang, Baixiang Huang, Zhiling Lan, Kai Shu

CoRR, 2024

Can Large Language Models Identify Authorship?

Baixiang Huang, Canyu Chen, Kai Shu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks.

Baixiang Huang, Bryan Hooi, Kai Shu

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2019

Deployment Optimization of Data Centers in Vehicular Networks.

Baixiang Huang, Wei Liu, Tian Wang, Xiong Li, Houbing Song, Anfeng Liu

IEEE Access, 2019

2018

Caching Joint Shortcut Routing to Improve Quality of Service for Information-Centric Networking.

Baixiang Huang, Anfeng Liu, Chengyuan Zhang, Naixue Xiong, Zhiwen Zeng, Zhiping Cai

Sensors, 2018