Tianyun Zhang

According to our database, Tianyun Zhang authored at least 48 papers between 2011 and 2024.

Collaborative distances:

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

2024

SASAN: Spectrum-Axial Spatial Approach Networks for Medical Image Segmentation.

Xingru Huang, Jian Huang, Kai Zhao, Tianyun Zhang, Zhi Li, Changpeng Yue, Wenhao Chen, Ruihao Wang, Xuanbin Chen, Qianni Zhang, Ying Fu, Yangyundou Wang, Yihao Guo

IEEE Trans. Medical Imaging, August, 2024

Segmentation of Low-Light Optical Coherence Tomography Angiography Images under the Constraints of Vascular Network Topology.

Zhi Li, Gaopeng Huang, Binfeng Zou, Wenhao Chen, Tianyun Zhang, Zhaoyang Xu, Kunyan Cai, Tingyu Wang, Yaoqi Sun, Yaqi Wang, Kai Jin, Xingru Huang

Sensors, February, 2024

LICM: Effective and Efficient Long Interest Chain Modeling for News Recommendation.

Zhen Yang, Wenhui Wang, Tao Qi, Peng Zhang, Tianyun Zhang, Ru Zhang, Jianyi Liu, Yongfeng Huang

CoRR, 2024

Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection.

Huiming Sun, Lan Fu, Jinlong Li, Qing Guo, Zibo Meng, Tianyun Zhang, Yuewei Lin, Hongkai Yu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV.

Huiming Sun, Jiacheng Guo, Zibo Meng, Tianyun Zhang, Jianwu Fang, Yuewei Lin, Hongkai Yu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

A Min-Max Optimization Framework for Multi-task Deep Neural Network Compression.

Jiacheng Guo, Huiming Sun, Minghai Qin, Hongkai Yu, Tianyun Zhang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023

DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Macular Hole Reconstruction with Stochastic Retinal Defect Augmentation and Dynamic Weight Composition.

Xingru Huang, Yihao Guo, Jian Huang, Zhi Li, Tianyun Zhang, Kunyan Cai, Gaopeng Huang, Wenhao Chen, Zhaoyang Xu, Liangqiong Qu, Ji Hu, Tingyu Wang, Shaowei Jiang, Chenggang Yan, Yaoqi Sun, Xin Ye, Yaqi Wang

CoRR, 2023

Deep Transfer Learning for Intelligent Vehicle Perception: a Survey.

Xinyu Liu, Jinlong Li, Jin Ma, Huiming Sun, Zhigang Xu, Tianyun Zhang, Hongkai Yu

CoRR, 2023

RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection.

Jin Ma, Jinlong Li, Qing Guo, Tianyun Zhang, Yuewei Lin, Hongkai Yu

CoRR, 2023

Automatic Subnetwork Search Through Dynamic Differentiable Neuron Pruning.

Zigeng Wang, Bingbing Li, Xia Xiao, Tianyun Zhang, Mikhail A. Bragin, Bing Yan, Caiwen Ding, Sanguthevar Rajasekaran

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Semi-Supervised Graph Ultra-Sparsifier Using Reweighted ℓ1 Optimization.

Jiayu Li, Tianyun Zhang, Shengmin Jin, Reza Zafarani

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs.

Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad, Yanzhi Wang

IEEE Trans. Neural Networks Learn. Syst., 2022

Graph sparsification with graph convolutional networks.

Jiayu Li, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, Reza Zafarani

Int. J. Data Sci. Anal., 2022

When 360-degree video meets 5G: a measurement study of delay in live streaming.

Haitao Liu, Xinyi Zhang, Xiang Zhou, Tianyun Zhang, Yanbiao Li, Zhenyu Li, Gaogang Xie

Proceedings of the MobiArch '22: Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet Architecture, 2022

BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning.

Xiaolong Ma, Geng Yuan, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Ning Liu, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting.

Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

AdverSparse: An Adversarial Attack Framework for Deep Spatial-Temporal Graph Neural Networks.

Jiayu Li, Tianyun Zhang, Shengmin Jin, Makan Fardad, Reza Zafarani

Proceedings of the IEEE International Conference on Acoustics, 2022

Loss Attitude Aware Energy Management for Signal Detection.

Baocheng Geng, Chen Quan, Tianyun Zhang, Makan Fardad, Pramod K. Varshney

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks.

Fei Sun, Minghai Qin, Tianyun Zhang, Xiaolong Ma, Haoran Li, Junwen Luo, Zihao Zhao, Yen-Kuang Chen, Yuan Xie

CoRR, 2021

Adversarial Attack Generation Empowered by Min-Max Optimization.

Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li

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

Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search.

Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang

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

Towards AQFP-Capable Physical Design Automation.

Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods.

Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Caiwen Ding, Makan Fardad, Yanzhi Wang

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Computation on Sparse Neural Networks: an Inspiration for Future Hardware.

Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie

CoRR, 2020

A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods.

Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Minghai Qin, Fei Sun, Yen-Kuang Chen, Caiwen Ding, Makan Fardad, Yanzhi Wang

CoRR, 2020

BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method.

Xiaolong Ma, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang

CoRR, 2020

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices.

Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Fu-Ming Guo, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

CoRR, 2020

SGCN: A Graph Sparsifier Based on Graph Convolutional Networks.

Jiayu Li, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, Reza Zafarani

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning.

Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices.

Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

INVITED: Computation on Sparse Neural Networks and its Implications for Future Hardware.

Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

On the Optimal Interdiction of Transportation Networks.

Tianyun Zhang, Makan Fardad

Proceedings of the 2020 American Control Conference, 2020

2019

Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense.

Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li

CoRR, 2019

Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM.

Shaokai Ye, Xiaoyu Feng, Tianyun Zhang, Xiaolong Ma, Sheng Lin, Zhengang Li, Kaidi Xu, Wujie Wen, Sijia Liu, Jian Tang, Makan Fardad, Xue Lin, Yongpan Liu, Yanzhi Wang

CoRR, 2019

State Evaluation of Power Transformer Based on Digital Twin.

Yong Yang, Zhu Chen, Jing Yan, Zhi Xiong, Jun Zhang, Hongxia Yuan, Yali Tu, Tianyun Zhang

Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM.

Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang

Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

Generation of Low Distortion Adversarial Attacks via Convex Programming.

Tianyun Zhang, Sijia Liu, Yanzhi Wang, Makan Fardad

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Data Temperature-Aware Bloom Filters for Flash-Based Storage.

Wei Li, Tianyun Zhang, Dafang Zhang, Yupeng Hu, Kun Xie, Ting Zhu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices.

Hongjia Li, Ning Liu, Xiaolong Ma, Sheng Lin, Shaokai Ye, Tianyun Zhang, Xue Lin, Wenyao Xu, Yanzhi Wang

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers.

Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers.

Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang

CoRR, 2018

A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM.

Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Jiaming Xie, Yun Liang, Sijia Liu, Xue Lin, Yanzhi Wang

CoRR, 2018

Progressive Weight Pruning of Deep Neural Networks using ADMM.

Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang

CoRR, 2018

ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs.

Tianyun Zhang, Kaiqi Zhang, Shaokai Ye, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang

CoRR, 2018

Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers.

Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad

Proceedings of the 6th International Conference on Learning Representations, 2018

Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM.

Pu Zhao, Kaidi Xu, Tianyun Zhang, Makan Fardad, Yanzhi Wang, Xue Lin

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers.

Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2018, 2018

2011

A method to build reconfigurable architectures by extracting common subgraphs.

Tianyun Zhang, Rui Zhang, Lingli Wang, Yu Hu

Proceedings of the 2011 IEEE 9th International Conference on ASIC, 2011