Manyi Zhang

According to our database, Manyi Zhang authored at least 14 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

QuantClaw: Precision Where It Matters for OpenClaw.

Manyi Zhang, Ji-Fu Li, Zhongao Sun, Xiaohao Liu, Zhenhua Dong, Xianzhi Yu, Haoli Bai, Xiaobo Xia

CoRR, April, 2026

BATQuant: Outlier-resilient MXFP4 Quantization via Learnable Block-wise Optimization.

Ji-Fu Li, Manyi Zhang, Xiaobo Xia, Han Bao, Haoli Bai, Zhenhua Dong, Xianzhi Yu

CoRR, March, 2026

FreeAct: Freeing Activations for LLM Quantization.

Xiaohao Liu, Xiaobo Xia, Manyi Zhang, Ji-Fu Li, Xianzhi Yu, Fei Shen, Xiu Su, See-Kiong Ng, Tat-Seng Chua

CoRR, March, 2026

Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats.

Pengxiang Zhao, Hui-Ling Zhen, Xing Li, Han Bao, Weizhe Lin, Zhiyuan Yang, Manyi Zhang, Yuanyong Luo, Ziwei Yu, Xin Wang, Mingxuan Yuan, Xianzhi Yu, Zhenhua Dong

CoRR, February, 2026

What Makes Low-Bit Quantization-Aware Training Work for Reasoning LLMs? A Systematic Study.

Keyu Lv, Manyi Zhang, Xiaobo Xia, Jingchen Ni, Shannan Yan, Xianzhi Yu, Lu Hou, Chun Yuan, Haoli Bai

CoRR, January, 2026

Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats.

Manyi Zhang, Ji-Fu Li, Zhongao Sun, Haoli Bai, Hui-Ling Zhen, Zhenhua Dong, Xianzhi Yu

CoRR, January, 2026

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, Xiao-Hui Li, Lu Hou, Lifeng Shang, Qun Liu

Trans. Mach. Learn. Res., 2026

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, Lifeng Shang, Qun Liu

CoRR, July, 2025

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, April, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2023

When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method.

Manyi Zhang, Xuyang Zhao, Jun Yao, Chun Yuan, Weiran Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning with Noisily-labeled Class-imbalanced Data.

Manyi Zhang, Chun Yuan, Jun Yao, Weiran Huang

CoRR, 2022

Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration.

Manyi Zhang, Yuxin Ren, Zihao Wang, Chun Yuan

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2016

Montgolfier: Latency-aware power management system for heterogeneous servers.

Haoran Cai, Qiang Cao, Feng Sheng, Manyi Zhang, Chuanyi Qi, Jie Yao, Changsheng Xie

Proceedings of the 35th IEEE International Performance Computing and Communications Conference, 2016