Montgolfier: Latency-aware power management system for heterogeneous servers. - Haoran Cai; Qiang Cao 001; Feng Sheng; Manyi Zhang; Chuanyi Qi; Jie Yao 001; Changsheng Xie (IPCCC, 2016)

Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration. - Manyi Zhang; Yuxin Ren; Zihao Wang; Chun Yuan (ACM Multimedia, 2022)

Learning with Noisily-labeled Class-imbalanced Data. - Manyi Zhang; Chun Yuan; Jun Yao; Weiran Huang 001 (CoRR, 2022)

When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method. - Manyi Zhang; Xuyang Zhao; Jun Yao; Chun Yuan; Weiran Huang 001 (ICCV, 2023)

Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models. - Ruikang Liu; Yuxuan Sun; Manyi Zhang; Haoli Bai; Xianzhi Yu; Tiezheng Yu; Chun Yuan; Lu Hou (CoRR, 2025)

L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models. - Xiaohao Liu; Xiaobo Xia; Weixiang Zhao; Manyi Zhang; Xianzhi Yu; Xiu Su; Shuo Yang; See-Kiong Ng; Tat-Seng Chua (CoRR, 2025)

The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs. - Jierun Chen; Tiezheng Yu; Haoli Bai; Lewei Yao; Jiannan Wu; Kaican Li; Fei Mi; Chaofan Tao; Lei Zhu; Manyi Zhang; Xiaohui Li; Lu Hou; et al. (CoRR, 2025)