Predicting Short-Term Electricity Demand by Combining the Advantages of ARMA and XGBoost in Fog Computing Environment. - Chuanbin Li; Xiaosen Zheng; Zikun Yang; Li Kuang (Wirel. Commun. Mob. Comput., 2018)

Predicting Traffic Flow Based on Encoder-Decoder Framework. - Xiaosen Zheng; Zikun Yang; Liwen Liu; Li Kuang (CollaborateCom, 2019)

Using location semantics to realize personalized road network location privacy protection. - Li Kuang; Yin Wang; Xiaosen Zheng; Lan Huang; Yu Sheng (EURASIP J. Wirel. Commun. Netw., 2020)

An Empirical Study of Memorization in NLP. - Xiaosen Zheng; Jing Jiang 001 (ACL (1), 2022)

Intriguing Properties of Data Attribution on Diffusion Models. - Xiaosen Zheng; Tianyu Pang; Chao Du; Jing Jiang 001; Min Lin (ICLR, 2024)

Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast. - Xiangming Gu; Xiaosen Zheng; Tianyu Pang; Chao Du; Qian Liu 012; Ye Wang 007; Jing Jiang 001; Min Lin (ICML, 2024)

Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses. - Xiaosen Zheng; Tianyu Pang; Chao Du; Qian Liu 012; Jing Jiang 001; Min Lin (NeurIPS, 2024)

RegMix: Data Mixture as Regression for Language Model Pre-training. - Qian Liu 012; Xiaosen Zheng; Niklas Muennighoff; Guangtao Zeng; Longxu Dou; Tianyu Pang; Jing Jiang 001; Min Lin (ICLR, 2025)

Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates. - Xiaosen Zheng; Tianyu Pang; Chao Du; Qian Liu 012; Jing Jiang 001; Min Lin (ICLR, 2025)