ZHISHENG ZHONG钟之声

Researcher, Hunyuan Foundation Model Department, Tencent

Email: zszhong@link.cuhk.edu.hk

FieldComputer Vision DirectionMultimodal AI FocusFoundation Models
Portrait of Zhisheng Zhong
MULTIMODAL · AI

Biography

I am a Researcher at the Hunyuan Foundation Model Department, Tencent. I received my Ph.D. from the Department of Computer Science and Engineering at The Chinese University of Hong Kong (CUHK), advised by Prof. Jiaya Jia.

Before that, I obtained my Master’s degree in Intelligence Science from Peking University (PKU), advised by Prof. Zhouchen Lin and Prof. Chao Zhang. I received my Bachelor’s degree in Communication Engineering from Beijing University of Posts and Telecommunications (BUPT).

My research interests lie in computer vision and machine learning, especially:

  • Multimodal AI (MLLM, VLM)
  • Agent & Reasoning
  • Data Efficiency
  • Imbalanced Learning
  • 2D / 3D Segmentation

Selected Publications Google Scholar

Five levels of reliable self-evolving agents from output to criterion evolution

Diving into Reliable Self-Evolving Agents: A Survey

Kaiqi Wang*, Wenjin Hou*, Yuchen Yan*, Hongrui Jia*, Zhisheng Zhong*, Botao Ren*, Yifei Chen, Songyang Zhang, Yongliang Shen, Jun Xiao, Yi Yang, Yueting Zhuang, Hehe Fan

Preprint 2026
MGM-Omni

(Mini-Gemini V3) MGM-Omni: Scaling Omni LLMs to Personalized Long-Horizon Speech

Chengyao Wang*, Zhisheng Zhong*, Bohao Peng*, Senqiao Yang, Yuqi Liu, Bei Yu, Jiaya Jia

ECCV 2026
ViSurf framework combining supervised guidance with reinforcement learning

ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models

Yuqi Liu, Liangyu Chen, Jiazhen Liu, Mingkang Zhu, Zhisheng Zhong, Bei Yu, Jiaya Jia

ICML 2026
VisionReasoner overview across detection, segmentation, and counting

VisionReasoner: Unified Reasoning-Integrated Visual Perception via Reinforcement Learning

Yuqi Liu*, Tianyuan Qu*, Zhisheng Zhong, Bohao Peng, Shu Liu, Bei Yu, Jiaya Jia

ICLR 2026
Lyra

(Mini-Gemini V2) Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition

Zhisheng Zhong*, Chengyao Wang*, Yuqi Liu*, Senqiao Yang, Longxiang Tang, Yuechen Zhang, Jingyao Li, Tianyuan Qu, Yanwei Li, Yukang Chen, Shaozuo Yu, Sitong Wu, Eric Lo, Shu Liu, Jiaya Jia

ICCV 2025
Seg-Zero

Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement

Yuqi Liu*, Bohao Peng*, Zhisheng Zhong*, Zihao Yue, Fanbin Lu, Bei Yu, Jiaya Jia

Preprint 2025
ARPO

ARPO: End-to-End Policy Optimization for GUI Agents with Experience Replay

Fanbin Lu, Zhisheng Zhong, Shu Liu, Chi-Wing Fu, Jiaya Jia

Preprint 2025
Mini-Gemini

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Yanwei Li*, Yuechen Zhang*, Chengyao Wang*, Zhisheng Zhong, Yixin Chen, Ruihang Chu, Shaoteng Liu, Jiaya Jia

TPAMI 2025
Decoupled KL

Decoupled Kullback-Leibler Divergence Loss

Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang

NeurIPS 2024
Neural Collapse

Understanding Imbalanced Semantic Segmentation Through Neural Collapse

Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia

CVPR 2023
ResCom

Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition

Zhisheng Zhong, Jiequan Cui, Eric Lo, Zeming Li, Jian Sun, Jiaya Jia

arXiv 2022
MiSLAS

Improving Calibration for Long-Tailed Recognition

Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia

CVPR 2021
CVQN

Channel-level Variable Quantization Network for Deep Image Compression

Zhisheng Zhong, Hiroaki Akutsu, Kiyoharu Aizawa

IJCAI 2020

Ranked 3rd in the Workshop and Challenge on Learned Image Compression (CLIC) at CVPR 2020

DJSRH

Deep Joint-semantics Reconstructing Hashing for Large-scale Unsupervised Cross-modal Retrieval

Shupeng Su*, Zhisheng Zhong*, Chao Zhang

ICCV 2019 Oral
ADA-Tucker

ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition

Zhisheng Zhong, Fangyin Wei, Zhouchen Lin, Chao Zhang

Neural Networks 2019
SRCliqueNet

Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution

Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Chao Zhang, Zhouchen Lin

NeurIPS 2018
ResLT

ResLT: Residual Learning for Long-tailed Recognition

Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia

TPAMI 2022
PaCo

Parametric Contrastive Learning

Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia

ICCV 2021
EMANet

Expectation Maximization Attention Networks for Semantic Segmentation

Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu

ICCV 2019 Oral
D-LADMM

Differentiable Linearized ADMM

Xingyu Xie, Jianlong Wu, Zhisheng Zhong, Guangcan Liu, Zhouchen Lin

ICML 2019
CliqueNet

Convolutional Neural Networks with Alternately Updated Clique

Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin

CVPR 2018 Oral

Experience

Tencent Hunyuan Foundation Model Department

Researcher · 2025 – Present

Megvii Face++, StepFun

Internship · Aug. 2021 – Oct. 2024 · Mentor: Dr. Xiangyu Zhang

Honors and Awards

Professional Services

  • Area chair
    ICLR 2027
  • Conference reviewer
    CVPR 2020–2026 ICCV 2021, 2023, 2025 NeurIPS 2020–2025 ICLR 2021–2025 ECCV 2022, 2024, 2026
  • Journal reviewer
    IEEE TPAMI IEEE TIP IEEE TNNLS IEEE TCSVT