Zhi Zhang

According to our database, Zhi Zhang authored at least 37 papers between 2015 and 2026.

Collaborative distances:

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

2026

veScale-FSDP: Flexible and High-Performance FSDP at Scale.

Zezhou Wang, Youjie Li, Zhiqi Lin, Jiacheng Yang, Cong Xie, Guanyu Feng, Zheng Zhong, Ziyue Huang, Hongyu Zhu, Zhi Zhang, Yanghua Peng, Xin Liu

CoRR, February, 2026

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning.

Ziyu Zhao, Yixiao Zhou, Xin Yu, Zhi Zhang, Didi Zhu, Tao Shen, Zexi Li, Jinluan Yang, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.

Qianli Ma, Yaowei Zheng, Zhelun Shi, Zhongkai Zhao, Bin Jia, Ziyue Huang, Zhiqi Lin, Youjie Li, Jiacheng Yang, Yanghua Peng, Zhi Zhang, Xin Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Cannikin: No Lagger of SLO in Concurrent Multiple LoRA LLM Serving.

Ruidong Zhu, Ziyue Jiang, Zhi Zhang, Xin Liu, Xuanzhe Liu, Xin Jin

IEEE Trans. Parallel Distributed Syst., September, 2025

VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.

Qianli Ma, Yaowei Zheng, Zhelun Shi, Zhongkai Zhao, Bin Jia, Ziyue Huang, Zhiqi Lin, Youjie Li, Jiacheng Yang, Yanghua Peng, Zhi Zhang, Xin Liu

CoRR, August, 2025

Let the Code LLM Edit Itself When You Edit the Code.

Zhenyu He, Jun Zhang, Shengjie Luo, Jingjing Xu, Zhi Zhang, Di He

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Improving Semantic Segmentation via Efficient Self-Training.

Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs.

Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training.

Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Self-Infilling Code Generation.

Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation.

Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Liwei Wang, Jingjing Xu, Zhi Zhang, Hongxia Yang, Di He

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training.

Likun Cai, Zhi Zhang, Yi Zhu, Li Zhang, Mu Li, Xiangyang Xue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

ResNeSt: Split-Attention Networks.

Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

SelfNorm and CrossNorm for Out-of-Distribution Robustness.

Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas

CoRR, 2021

Progressive Coordinate Transforms for Monocular 3D Object Detection.

Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Video Contrastive Learning with Global Context.

Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

CrossNorm and SelfNorm for Generalization under Distribution Shifts.

Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.

Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu

J. Mach. Learn. Res., 2020

A Comprehensive Study of Deep Video Action Recognition.

Yi Zhu, Xinyu Li, Chunhui Liu, Mohammadreza Zolfaghari, Yuanjun Xiong, Chongruo Wu, Zhi Zhang, Joseph Tighe, R. Manmatha, Mu Li

CoRR, 2020

Improving Semantic Segmentation via Self-Training.

Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola

CoRR, 2020

2019

Supervised Deep Feature Embedding With Handcrafted Feature.

Shichao Kan, Yigang Cen, Zhihai He, Zhi Zhang, Linna Zhang, Yanhong Wang

IEEE Trans. Image Process., 2019

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.

Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng

CoRR, 2019

Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources.

Haibin Lin, Hang Zhang, Yifei Ma, Tong He, Zhi Zhang, Sheng Zha, Mu Li

CoRR, 2019

Just-in-Time Dynamic-Batching.

Sheng Zha, Ziheng Jiang, Haibin Lin, Zhi Zhang

CoRR, 2019

Bag of Freebies for Training Object Detection Neural Networks.

Zhi Zhang, Tong He, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li

CoRR, 2019

Bag of Tricks for Image Classification with Convolutional Neural Networks.

Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation.

Guanghan Ning, Zhi Zhang, Zhiquan He

IEEE Trans. Multim., 2018

Progressive Neural Networks for Image Classification.

Zhi Zhang, Guanghan Ning, Yigang Cen, Yang Li, Zhiqun Zhao, Hao Sun, Zhihai He

CoRR, 2018

Fast Deep Neural Networks With Knowledge Guided Training and Predicted Regions of Interests for Real-Time Video Object Detection.

Wenming Cao, Jianhe Yuan, Zhihai He, Zhi Zhang, Zhiquan He

IEEE Access, 2018

2017

Knowledge Projection for Deep Neural Networks.

Zhi Zhang, Guanghan Ning, Zhihai He

CoRR, 2017

Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation.

Guanghan Ning, Zhi Zhang, Zhihai He

CoRR, 2017

Spatially supervised recurrent convolutional neural networks for visual object tracking.

Guanghan Ning, Zhi Zhang, Chen Huang, Xiaobo Ren, Haohong Wang, Canhui Cai, Zhihai He

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Rate-coverage analysis and optimization for joint audio-video multimedia retrieval.

Guanghan Ning, Zhi Zhang, Xiaobo Ren, Haohong Wang, Zhihai He

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Animal Detection From Highly Cluttered Natural Scenes Using Spatiotemporal Object Region Proposals and Patch Verification.

Zhi Zhang, Zhihai He, Guitao Cao, Wenming Cao

IEEE Trans. Multim., 2016

Joint Audio-Video Fingerprint Media Retrieval Using Rate-Coverage Optimization.

Guanghan Ning, Zhi Zhang, Xiaobo Ren, Haohong Wang, Zhihai He

CoRR, 2016

Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking.

Guanghan Ning, Zhi Zhang, Chen Huang, Zhihai He, Xiaobo Ren, Haohong Wang

CoRR, 2016

2015

Coupled ensemble graph cuts and object verification for animal segmentation from highly cluttered videos.

Zhi Zhang, Tony X. Han, Zhihai He

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015