Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB. - Jinzhao Xiao; Yuxiang Huang 001; Changyu Hu; Shaoxu Song; Xiangdong Huang 001; Jianmin Wang 001 (Proc. VLDB Endow., 2022)

Tool Learning with Foundation Models. - Yujia Qin; Shengding Hu; Yankai Lin 001; Weize Chen; Ning Ding 002; Ganqu Cui; Zheni Zeng; Yufei Huang 008; Chaojun Xiao; Chi Han; Yi Ren Fung 001; Yusheng Su; et al. (CoRR, 2023)

CPET: Effective Parameter-Efficient Tuning for Compressed Large Language Models. - Weilin Zhao; Yuxiang Huang 001; Xu Han 007; Zhiyuan Liu 001; Zhengyan Zhang; Maosong Sun 001 (CoRR, 2023)

Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding. - Weilin Zhao; Yuxiang Huang 001; Xu Han 007; Wang Xu; Chaojun Xiao; Xinrong Zhang; Yewei Fang; Kaihuo Zhang; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2024)

Ouroboros: Speculative Decoding with Large Model Enhanced Drafting. - Weilin Zhao; Yuxiang Huang 001; Xu Han 007; Chaojun Xiao; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies. - Shengding Hu; Yuge Tu; Xu Han 007; Chaoqun He; Ganqu Cui; Xiang Long; Zhi Zheng; Yewei Fang; Yuxiang Huang 001; Weilin Zhao; Xinrong Zhang; Zhen Leng Thai; et al. (CoRR, 2024)

Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads. - Yuxiang Huang 001; Binhang Yuan; Xu Han 007; Chaojun Xiao; Zhiyuan Liu 001 (CoRR, 2024)

Time series data encoding in Apache IoTDB: comparative analysis and recommendation. - Tianrui Xia; Jinzhao Xiao; Yuxiang Huang 001; Changyu Hu; Shaoxu Song; Xiangdong Huang 001; Jian-min Wang 001 (VLDB J., 2024)

APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs. - Yuxiang Huang 001; Mingye Li; Xu Han 007; Chaojun Xiao; Weilin Zhao; Sun Ao; Hao Zhou 012; Jie Zhou 016; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2025)

FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling. - Weilin Zhao; Tengyu Pan; Xu Han 007; Yudi Zhang; Sun Ao; Yuxiang Huang 001; Kaihuo Zhang; Weilun Zhao; Yuxuan Li; Jie Zhou 016; Hao Zhou 012; Jianyong Wang 001; et al. (ACL (1), 2025)

CITR: Efficient Long Video Understanding Needs Causal Importance. - Ziqi Yuan; Jun Li; Yanghao Li; Yuxiang Huang 001; Chi Chen 005; Shuo Wang 013; Zhinan Gou (ACM Multimedia, 2025)

Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices. - Yuxiang Huang 001; Binhang Yuan; Xu Han 007; Chaojun Xiao; Zhiyuan Liu 001 (Trans. Mach. Learn. Res., 2025)

FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling. - Weilin Zhao; Tengyu Pan; Xu Han 007; Yudi Zhang; Ao Sun; Yuxiang Huang 001; Kaihuo Zhang; Weilun Zhao; Yuxuan Li; Jianyong Wang 001; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2025)

Tool Learning with Foundation Models. - Yujia Qin; Shengding Hu; Yankai Lin 001; Weize Chen; Ning Ding 002; Ganqu Cui; Zheni Zeng; Xuanhe Zhou; Yufei Huang 008; Chaojun Xiao; Chi Han; Yi R. Fung 001; et al. (ACM Comput. Surv., 2025)

MiniCPM4: Ultra-Efficient LLMs on End Devices. - Chaojun Xiao; Yuxuan Li; Xu Han 007; Yuzhuo Bai; Jie Cai 001; Haotian Chen; Wentong Chen; Xin Cong; Ganqu Cui; Ning Ding 002; Shengda Fan; Yewei Fang; et al. (CoRR, 2025)

MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe. - Tianyu Yu 002; Zefan Wang; Chongyi Wang; Fuwei Huang; Wenshuo Ma; Zhihui He; Tianchi Cai; Weize Chen; Yuxiang Huang 001; Yuanqian Zhao; Bokai Xu; Junbo Cui; et al. (CoRR, 2025)

InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation. - Weilin Zhao; Zihan Zhou; Zhou Su; Chaojun Xiao; Yuxuan Li; Yanghao Li; Yudi Zhang; Weilun Zhao; Zhen Li 044; Yuxiang Huang 001; Ao Sun; Xu Han 007; et al. (CoRR, 2025)

NOSA: Native and Offloadable Sparse Attention. - Yuxiang Huang 001; Chaojun Xiao; Xu Han 007; Zhiyuan Liu 001 (CoRR, 2025)

Spava: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention. - Yuxiang Huang 001; Mingye Li; Xu Han 007; Chaojun Xiao; Weilin Zhao; Ao Sun; Ziqi Yuan; Hao Zhou 012; Fandong Meng; Zhiyuan Liu 001 (CoRR, 2026)