Multi-Objective Geometric Optimization of A Multi-Link Manipulator Using Parameterized Design Method. - Xiaomeng Hu; Weiwei Wan; Liang Du 002; Jianjun Yuan 003; Shugen Ma (IROS, 2022)

Stiffness modeling of redundant robots with large load capacity and workspace. - Meng Li; Xiaomeng Hu; Liang Du 002; Sheng Bao; Jianjun Yuan 003 (RCAR, 2022)

P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. - Xiaomeng Hu; Shi Yu 001; Chenyan Xiong; Zhenghao Liu 001; Zhiyuan Liu 001; Ge Yu 001 (SIGIR, 2022)

P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. - Xiaomeng Hu; Shi Yu 001; Chenyan Xiong; Zhenghao Liu 001; Zhiyuan Liu 001; Ge Yu 001 (CoRR, 2022)

RADAR: Robust AI-Text Detection via Adversarial Learning. - Xiaomeng Hu; Pin-Yu Chen; Tsung-Yi Ho (NeurIPS, 2023)

Multi-objective geometric optimization of a multi-link robot manipulator considering dynamics performance. - Zixin Gao; Liang Du 002; Xiaomeng Hu; Zhengtao Hu; Sheng Bao; Kensuke Harada; Jianjun Yuan 003 (ROBIO, 2023)

A multi-objective optimization trajectory interpolation method based on fifth-degree B-spline curves *. - Qiang Yang; Xiaomeng Hu; Liang Du 002; Sheng Bao; Jianjun Yuan 003 (ROBIO, 2023)

Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning. - Hao Chen 102; Yiming Zhang 023; Qi Zhang 077; Hantao Yang; Xiaomeng Hu; Xuetao Ma 002; Yifan Yanggong; Junbo Zhao 002 (CoRR, 2023)

Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection. - Xiaomeng Hu; Yiming Zhang 023; Ru Peng; Haozhe Zhang; Chenwei Wu 010; Gang Chen 001; Junbo Zhao 002 (EMNLP, 2024)

Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes. - Xiaomeng Hu; Pin-Yu Chen; Tsung-Yi Ho (NeurIPS, 2024)

The high dimensional psychological profile and cultural bias of ChatGPT. - Hang Yuan; Zhongyue Che; Shao Li; Yue Zhang; Xiaomeng Hu; Siyang Luo (CoRR, 2024)

TableGPT2: A Large Multimodal Model with Tabular Data Integration. - Aofeng Su; Aowen Wang; Chao Ye; Chen Zhou 001; Ga Zhang; Gang Chen 001; Guangcheng Zhu; Haobo Wang 001; Haokai Xu; Hao Chen 102; Haoze Li; Haoxuan Lan; et al. (CoRR, 2024)

Mapping the neural mechanism that distinguishes between holistic thinking and analytic thinking. - Yue Teng; Hui-Xian Li; Sylvia Xiaohua Chen; Francisco Xavier Castellanos; Chao-Gan Yan; Xiaomeng Hu (NeuroImage, 2024)

Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models. - Xiaomeng Hu; Pin-Yu Chen; Tsung-Yi Ho (AAAI, 2025)

ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models. - Hao Chen 102; Haoze Li; Zhiqing Xiao; Lirong Gao; Qi Zhang 077; Xiaomeng Hu; Ningtao Wang; Xing Fu; Junbo Zhao 002 (ACL (Findings), 2025)

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization. - Qi Zhang 077; Shouqing Yang; Lirong Gao; Hao Chen 102; Xiaomeng Hu; Jinglei Chen; Jiexiang Wang; Sheng Guo; Bo Zheng; Haobo Wang 001; Junbo Zhao 002 (CoRR, 2025)

ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models. - Hao Chen 102; Haoze Li; Zhiqing Xiao; Lirong Gao; Qi Zhang 077; Xiaomeng Hu; Ningtao Wang; Xing Fu; Junbo Zhao 002 (CoRR, 2025)

Flow-CDNet: A Novel Network for Detecting Both Slow and Fast Changes in Bitemporal Images. - Haoxuan Li; Chenxu Wei; Haodong Wang; Xiaomeng Hu; Boyuan An; Lingyan Ran; Baosen Zhang; Jin Jin; Omirzhan Taukebayev; Amirkhan Temirbayev; Junrui Liu; Xiuwei Zhang 001 (CoRR, 2025)

Attention Slipping: A Mechanistic Understanding of Jailbreak Attacks and Defenses in LLMs. - Xiaomeng Hu; Pin-Yu Chen; Tsung-Yi Ho (CoRR, 2025)