The relationship between ic-cone-convexness and nearly cone-subconvexlikeness. - Yihong Xu; Xiaoshuai Song (Appl. Math. Lett., 2011)

Obstacle tracking based on millimeter wave radar. - Xiaoshuai Song; Yu Du (ICSAI, 2016)

Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. - Yutao Mou; Xiaoshuai Song; Keqing He 001; Chen Zeng; Pei Wang; Jingang Wang; Yunsen Xian; Weiran Xu (ACL (1), 2023)

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. - Xiaoshuai Song; Keqing He 001; Pei Wang; Guanting Dong; Yutao Mou; Jingang Wang; Yunsen Xian; Xunliang Cai; Weiran Xu (EMNLP, 2023)

Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. - Xiaoshuai Song; Yutao Mou; Keqing He 001; Yueyan Qiu; Jinxu Zhao; Pei Wang; Weiran Xu (EMNLP (Findings), 2023)

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. - Pei Wang; Keqing He 001; Yutao Mou; Xiaoshuai Song; Yanan Wu; Jingang Wang; Yunsen Xian; Xunliang Cai; Weiran Xu (EMNLP (Findings), 2023)

Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. - Jiachi Liu; Liwen Wang; Guanting Dong; Xiaoshuai Song; Zechen Wang; Zhengyang Wang; Shanglin Lei; Jinzheng Zhao; Keqing He 001; Bo Xiao; Weiran Xu (CoRR, 2023)

Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. - Xiaoshuai Song; Yutao Mou; Keqing He 001; Yueyan Qiu; Pei Wang; Weiran Xu (CoRR, 2023)

Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. - Pei Wang; Keqing He 001; Yejie Wang; Xiaoshuai Song; Yutao Mou; Jingang Wang; Yunsen Xian; Xunliang Cai; Weiran Xu (LREC/COLING, 2024)

Faceptor: A Generalist Model for Face Perception. - Lixiong Qin; Mei Wang 001; Xuannan Liu; Yuhang Zhang 016; Wei Deng 004; Xiaoshuai Song; Weiran Xu; Weihong Deng (ECCV (34), 2024)

Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-Training for Noisy Slot Filling Task. - Jinxu Zhao; Guanting Dong; Yueyan Qiu; Tingfeng Hui; Xiaoshuai Song; Daichi Guo; Weiran Xu (ICASSP, 2024)

Knowledge Editing on Black-box Large Language Models. - Xiaoshuai Song; Zhengyang Wang; Keqing He 001; Guanting Dong; Yutao Mou; Jinxu Zhao; Weiran Xu (CoRR, 2024)

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? - Runqi Qiao; Qiuna Tan; Guanting Dong; Minhui Wu; Chong Sun; Xiaoshuai Song; Zhuoma Gongque; Shanglin Lei; Zhe Wei; Miaoxuan Zhang; Runfeng Qiao; Yifan Zhang; et al. (CoRR, 2024)

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation. - Guanting Dong; Xiaoshuai Song; Yutao Zhu 001; Runqi Qiao; Zhicheng Dou; Ji-Rong Wen (CoRR, 2024)

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models. - Pei Wang; Yanan Wu; Zekun Wang; Jiaheng Liu; Xiaoshuai Song; Zhongyuan Peng; Ken Deng; Chenchen Zhang; Jiakai Wang; Junran Peng; Ge Zhang 009; Hangyu Guo; et al. (CoRR, 2024)

Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models. - Yifan Zhang; Shanglin Lei; Runqi Qiao; Zhuoma Gongque; Xiaoshuai Song; Guanting Dong; Qiuna Tan; Zhe Wei; Peiqing Yang 003; Ye Tian; Yadong Xue; Xiaofei Wang; et al. (CoRR, 2024)

Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation. - Guanting Dong; Xiaoshuai Song; Yutao Zhu 001; Runqi Qiao; Zhicheng Dou; Ji-Rong Wen (AAAI, 2025)

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? - Runqi Qiao; Qiuna Tan; Guanting Dong; Minhui Wu; Chong Sun; Xiaoshuai Song; Jiapeng Wang; Zhuoma Gongque; Shanglin Lei; Yifan Zhang; Zhe Wei; Miaoxuan Zhang; et al. (ACL (1), 2025)

CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. - Xiaoshuai Song; Muxi Diao; Guanting Dong; Zhengyang Wang; Yujia Fu; Runqi Qiao; Zhexu Wang; Dayuan Fu; Huangxuan Wu; Bin Liang; Weihao Zeng; Yejie Wang; et al. (ICLR, 2025)

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models. - Pei Wang; Yanan Wu; Noah Wang; Jiaheng Liu; Xiaoshuai Song; Z. Y. Peng; Ken Deng; Chenchen Zhang; Jiakai Wang; Junran Peng; Ge Zhang 009; Hangyu Guo; et al. (ICLR, 2025)

Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing. - Xiaoshuai Song; Zhengyang Wang; Keqing He 001; Guanting Dong; Yutao Mou; Jinxu Zhao; Weiran Xu (WWW, 2025)

Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants. - Lixiong Qin; Shilong Ou; Miaoxuan Zhang; Jiangning Wei; Yuhang Zhang; Xiaoshuai Song; Yuchen Liu; Mei Wang; Weiran Xu (CoRR, 2025)

ProgCo: Program Helps Self-Correction of Large Language Models. - Xiaoshuai Song; Yanan Wu; Weixun Wang; Jiaheng Liu; Wenbo Su; Bo Zheng 007 (CoRR, 2025)