Rui Zhang

According to our database, Rui Zhang authored at least 49 papers between 2015 and 2023.

Collaborative distances:

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

2023

Chip design with machine learning: a survey from algorithm perspective.

Wenkai He, Xiaqing Li, Xinkai Song, Yifan Hao, Rui Zhang, Zidong Du, Yunji Chen

Sci. China Inf. Sci., November, 2023

Learning controllable elements oriented representations for reinforcement learning.

Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Qi Guo, Ruizhi Chen, Ling Li, Yunji Chen

Neurocomputing, September, 2023

Local-Global Cross Fusion Network With Gaussian-Initialized Learnable Positional Prompting for Hyperspectral Image Classification.

Xin Zhang, Rui Zhang, Ling Li, Wei Li

IEEE Trans. Geosci. Remote. Sens., 2023

TCP: Textual-based Class-aware Prompt tuning for Visual-Language Model.

Hantao Yao, Rui Zhang, Changsheng Xu

CoRR, 2023

Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning.

Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li

CoRR, 2023

Pushing the Limits of Machine Design: Automated CPU Design with AI.

Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Yunhao Tian, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Ling Li, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen

CoRR, 2023

Learning Domain-Aware Detection Head with Prompt Tuning.

Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen

CoRR, 2023

Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training.

Pucheng Dang, Xing Hu, Kaidi Xu, Jinhao Duan, Di Huang, Husheng Han, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen

CoRR, 2023

Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation.

Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen

CoRR, 2023

ANPL: Compiling Natural Programs with Interactive Decomposition.

Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen

CoRR, 2023

Ultra-low Precision Multiplication-free Training for Deep Neural Networks.

Chang Liu, Rui Zhang, Xishan Zhang, Yifan Hao, Zidong Du, Xing Hu, Ling Li, Qi Guo

CoRR, 2023

Online Symbolic Regression with Informative Query.

Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen

CoRR, 2023

Learning Domain-Aware Detection Head with Prompt Tuning.

Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Emergent Communication for Rules Reasoning.

Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Symbolic Policy Learning with Differentiable Symbolic Expression.

Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation.

Xinkai Song, Yuanbo Wen, Xing Hu, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, Tianshi Chen

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing.

Hongrui Guo, Yongwei Zhao, Zhangmai Li, Yifan Hao, Chang Liu, Xinkai Song, Xiaqing Li, Zidong Du, Rui Zhang, Qi Guo, Tianshi Chen, Zhiwei Xu

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Online Prototype Alignment for Few-shot Policy Transfer.

Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen

Proceedings of the International Conference on Machine Learning, 2023

BALTO: fast tensor program optimization with diversity-based active learning.

Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Visual-Language Prompt Tuning with Knowledge-Guided Context Optimization.

Hantao Yao, Rui Zhang, Changsheng Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Conceptual Reinforcement Learning for Language-Conditioned Tasks.

Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Online Symbolic Regression with Informative Query.

Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Consensus Feature Network for Scene Parsing.

Tianyi Wu, Sheng Tang, Rui Zhang, Guodong Guo

IEEE Trans. Multim., 2022

Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training.

Chang Liu, Xishan Zhang, Rui Zhang, Ling Li, Shiyi Zhou, Di Huang, Zhen Li, Zidong Du, Shaoli Liu, Tianshi Chen

IEEE Trans. Image Process., 2022

Enabling One-Size-Fits-All Compilation Optimization for Inference Across Machine Learning Computers.

Yuanbo Wen, Qi Guo, Zidong Du, Jianxing Xu, Zhenxing Zhang, Xing Hu, Wei Li, Rui Zhang, Chao Wang, Xuehai Zhou, Tianshi Chen

IEEE Trans. Computers, 2022

Temporal Correlation-Diversity Representations for Video-Based Person Re-Identification.

Litong Gong, Rui Zhang, Sheng Tang, Juan Cao

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Object-Category Aware Reinforcement Learning.

Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Causality-driven Hierarchical Structure Discovery for Reinforcement Learning.

Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Program Synthesis with Query.

Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

CGNet: A Light-Weight Context Guided Network for Semantic Segmentation.

Tianyi Wu, Sheng Tang, Rui Zhang, Juan Cao, Yongdong Zhang

IEEE Trans. Image Process., 2021

A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis.

Di Huang, Rui Zhang, Xishan Zhang, Fan Wu, Xianzhuo Wang, Pengwei Jin, Shaoli Liu, Ling Li, Yunji Chen

Int. J. Comput. Vis., 2021

Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms.

Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, TianYun Ma, JiYuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xishan Zhang, Zidong Du, Qi Guo, Yunji Chen

CoRR, 2021

Distilling Object Detectors with Feature Richness.

Zhixing Du, Rui Zhang, Ming Chang, Xishan Zhang, Shaoli Liu, Tianshi Chen, Yunji Chen

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

Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment.

Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Domain-Specific Suppression for Adaptive Object Detection.

Yu Wang, Rui Zhang, Shuo Zhang, Miao Li, Yangyang Xia, Xishan Zhang, Shaoli Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Perspective-Adaptive Convolutions for Scene Parsing.

Rui Zhang, Sheng Tang, Yongdong Zhang, Jintao Li, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Ahff-Net: Adaptive Hierarchical Feature Fusion Network For Image Inpainting.

Jiaqi Zhang, Sheng Tang, Xu Zhang, Yu Li, Rui Zhang

Proceedings of the IEEE International Conference on Image Processing, 2020

Fixed-Point Back-Propagation Training.

Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Qi Guo, Zidong Du, Tian Zhi, Yunji Chen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DWM: A Decomposable Winograd Method for Convolution Acceleration.

Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Asymmetric GAN for Unpaired Image-to-Image Translation.

Yu Li, Sheng Tang, Rui Zhang, Yongdong Zhang, Jintao Li, Shuicheng Yan

IEEE Trans. Image Process., 2019

Consensus Feature Network for Scene Parsing.

Tianyi Wu, Sheng Tang, Rui Zhang, Guodong Guo, Yongdong Zhang

CoRR, 2019

Tree-Structured Kronecker Convolutional Network for Semantic Segmentation.

Tianyi Wu, Sheng Tang, Rui Zhang, Juan Cao, Jintao Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018

CGNet: A Light-weight Context Guided Network for Semantic Segmentation.

Tianyi Wu, Sheng Tang, Rui Zhang, Yongdong Zhang

CoRR, 2018

Style Separation and Synthesis via Generative Adversarial Networks.

Rui Zhang, Sheng Tang, Yu Li, Junbo Guo, Yongdong Zhang, Jintao Li, Shuicheng Yan

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

High Resolution Feature Recovering for Accelerating Urban Scene Parsing.

Rui Zhang, Sheng Tang, Luoqi Liu, Yongdong Zhang, Jintao Li, Shuicheng Yan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Multi-modal tag localization for mobile video search.

Rui Zhang, Sheng Tang, Wu Liu, Yongdong Zhang, Jintao Li

Multim. Syst., 2017

Global-residual and Local-boundary Refinement Networks for Rectifying Scene Parsing Predictions.

Rui Zhang, Sheng Tang, Min Lin, Jintao Li, Shuicheng Yan

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Scale-Adaptive Convolutions for Scene Parsing.

Rui Zhang, Sheng Tang, Yongdong Zhang, Jintao Li, Shuicheng Yan

Proceedings of the IEEE International Conference on Computer Vision, 2017

2015

Multimodal tag localization based on deep learning.

Rui Zhang, Sheng Tang, Wu Liu, Jintao Li

Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015