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2020 – today
- 2026
[j1]Jierun Chen, Tiezheng YU, Haoli Bai, Lewei Yao, Jiannan Wu, Kaican Li, Fei Mi, Chaofan Tao, Lei Zhu, Manyi Zhang, Xiao-Hui Li, Lu Hou, Lifeng Shang, Qun Liu:
The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs. Trans. Mach. Learn. Res. 2026 (2026)- [i7]Manyi Zhang, Ji-Fu Li, Zhongao Sun, Haoli Bai, Hui-Ling Zhen, Zhenhua Dong, Xianzhi Yu:
Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats. CoRR abs/2601.09555 (2026) - [i6]Keyu Lv, Manyi Zhang, Xiaobo Xia, Jingchen Ni, Shannan Yan, Xianzhi Yu, Lu Hou, Chun Yuan, Haoli Bai:
What Makes Low-Bit Quantization-Aware Training Work for Reasoning LLMs? A Systematic Study. CoRR abs/2601.14888 (2026) - 2025
- [i5]Ruikang Liu, Yuxuan Sun, Manyi Zhang, Haoli Bai, Xianzhi Yu, Tiezheng Yu, Chun Yuan, Lu Hou:
Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models. CoRR abs/2504.04823 (2025) - [i4]Xiaohao Liu, Xiaobo Xia, Weixiang Zhao, Manyi Zhang, Xianzhi Yu, Xiu Su, Shuo Yang, See-Kiong Ng, Tat-Seng Chua:
L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models. CoRR abs/2505.17505 (2025) - [i3]Jierun Chen, Tiezheng Yu, Haoli Bai, Lewei Yao, Jiannan Wu, Kaican Li, Fei Mi, Chaofan Tao, Lei Zhu, Manyi Zhang, Xiaohui Li, Lu Hou, Lifeng Shang, Qun Liu:
The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs. CoRR abs/2507.07562 (2025) - 2023
- [c3]Manyi Zhang, Xuyang Zhao, Jun Yao, Chun Yuan, Weiran Huang:
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method. ICCV 2023: 15844-15854 - 2022
- [c2]Manyi Zhang, Yuxin Ren, Zihao Wang, Chun Yuan:
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration. ACM Multimedia 2022: 4635-4644 - [i2]Manyi Zhang, Yuxin Ren, Zihao Wang, Chun Yuan:
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration. CoRR abs/2210.05126 (2022) - [i1]Manyi Zhang, Chun Yuan, Jun Yao, Weiran Huang:
Learning with Noisily-labeled Class-imbalanced Data. CoRR abs/2211.10955 (2022)
2010 – 2019
- 2016
- [c1]Haoran Cai, Qiang Cao, Feng Sheng, Manyi Zhang, Chuanyi Qi, Jie Yao, Changsheng Xie:
Montgolfier: Latency-aware power management system for heterogeneous servers. IPCCC 2016: 1-8
Coauthor Index
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