Tianyun Zhang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 54

Top Topics

Alternating Direction Method Of Multipliers

Energy Management

Optimization Methods

Top Venues

Publications

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
SASAN: Spectrum-Axial Spatial Approach Networks for Medical Image Segmentation. IEEE Trans. Medical Imaging 43 (8) (2024)
Zhi Li, Gaopeng Huang, Binfeng Zou, Wenhao Chen, Tianyun Zhang, Zhaoyang Xu, Kunyan Cai, Tingyu Wang, Yaoqi Sun, Yaqi Wang, Kai Jin, Xingru Huang
Segmentation of Low-Light Optical Coherence Tomography Angiography Images under the Constraints of Vascular Network Topology. Sensors 24 (3) (2024)
Jiacheng Guo, Huiming Sun, Minghai Qin, Hongkai Yu, Tianyun Zhang
A Min-Max Optimization Framework for Multi-task Deep Neural Network Compression. ISCAS (2024)
Huiming Sun, Jiacheng Guo, Zibo Meng, Tianyun Zhang, Jianwu Fang, Yuewei Lin, Hongkai Yu
EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV. IV (2024)
Huiming Sun, Jiacheng Guo, Zibo Meng, Tianyun Zhang, Jianwu Fang, Yuewei Lin, Hongkai Yu
EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV. CoRR (2024)
Huiming Sun, Lan Fu, Jinlong Li, Qing Guo, Zibo Meng, Tianyun Zhang, Yuewei Lin, Hongkai Yu
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection. WACV (2024)
Xinyu Liu, Jinlong Li, Jin Ma, Huiming Sun, Zhigang Xu, Tianyun Zhang, Hongkai Yu
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey. CoRR (2023)
Huiming Sun, Lan Fu, Jinlong Li, Qing Guo, Zibo Meng, Tianyun Zhang, Yuewei Lin, Hongkai Yu
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection. CoRR (2023)
Jin Ma, Jinlong Li, Qing Guo, Tianyun Zhang, Yuewei Lin, Hongkai Yu
RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection. CoRR (2023)
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
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Macular Hole Reconstruction with Stochastic Retinal Defect Augmentation and Dynamic Weight Composition. CoRR (2023)
Jiayu Li, Tianyun Zhang, Shengmin Jin, Reza Zafarani
Semi-Supervised Graph Ultra-Sparsifier Using Reweighted ℓ1 Optimization. ICASSP (2023)
Zigeng Wang, Bingbing Li, Xia Xiao, Tianyun Zhang, Mikhail A. Bragin, Bing Yan, Caiwen Ding, Sanguthevar Rajasekaran
Automatic Subnetwork Search Through Dynamic Differentiable Neuron Pruning. ISQED (2023)
Jiayu Li, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, Reza Zafarani
Graph sparsification with graph convolutional networks. Int. J. Data Sci. Anal. 13 (1) (2022)
Jiayu Li, Tianyun Zhang, Shengmin Jin, Makan Fardad, Reza Zafarani
AdverSparse: An Adversarial Attack Framework for Deep Spatial-Temporal Graph Neural Networks. ICASSP (2022)
Baocheng Geng, Chen Quan, Tianyun Zhang, Makan Fardad, Pramod K. Varshney
Loss Attitude Aware Energy Management for Signal Detection. IEEECONF (2022)
Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad, Yanzhi Wang
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. IEEE Trans. Neural Networks Learn. Syst. 33 (5) (2022)
Haitao Liu, Xinyi Zhang, Xiang Zhou, Tianyun Zhang, Yanbiao Li, Zhenyu Li, Gaogang Xie
When 360-degree video meets 5G: a measurement study of delay in live streaming. MobiArch@MobiCom (2022)
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
BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. ISQED (2022)
Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. ICTAI (2022)
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
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. ICCV (2021)
Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li
Adversarial Attack Generation Empowered by Min-Max Optimization. NeurIPS (2021)
Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Caiwen Ding, Makan Fardad, Yanzhi Wang
A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. DAC (2021)
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
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. CoRR (2021)
Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. CoRR (2021)
Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin
Towards AQFP-Capable Physical Design Automation. DATE (2021)
Fei Sun, Minghai Qin, Tianyun Zhang, Xiaolong Ma, Haoran Li, Junwen Luo, Zihao Zhao, Yen-Kuang Chen, Yuan Xie
Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks. CoRR (2021)
Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie
INVITED: Computation on Sparse Neural Networks and its Implications for Future Hardware. DAC (2020)
Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Minghai Qin, Fei Sun, Yen-Kuang Chen, Caiwen Ding, Makan Fardad, Yanzhi Wang
A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods. CoRR (2020)
Xiaolong Ma, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. CoRR (2020)
Tianyun Zhang, Makan Fardad
On the Optimal Interdiction of Transportation Networks. ACC (2020)
Jiayu Li, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, Reza Zafarani
SGCN: A Graph Sparsifier Based on Graph Convolutional Networks. PAKDD (1) (2020)
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. ECCV (13) (2020)
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
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. CoRR (2020)
Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning. EMNLP (Findings) (2020)
Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning. CoRR (2020)
Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie
Computation on Sparse Neural Networks: an Inspiration for Future Hardware. CoRR (2020)
Yong Yang, Zhu Chen, Jing Yan, Zhi Xiong, Jun Zhang, Hongxia Yuan, Yali Tu, Tianyun Zhang
State Evaluation of Power Transformer Based on Digital Twin. SOLI (2019)
Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. ISLPED (2019)
Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li
Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense. CoRR (2019)
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
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. CoRR (2019)
Hongjia Li, Ning Liu, Xiaolong Ma, Sheng Lin, Shaokai Ye, Tianyun Zhang, Xue Lin, Wenyao Xu, Yanzhi Wang
ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. ACM Great Lakes Symposium on VLSI (2019)
Wei Li, Tianyun Zhang, Dafang Zhang, Yupeng Hu, Kun Xie, Ting Zhu
Data Temperature-Aware Bloom Filters for Flash-Based Storage. HPCC/SmartCity/DSS (2019)
Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers. ASPLOS (2019)
Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. CoRR (2019)
Tianyun Zhang, Sijia Liu, Yanzhi Wang, Makan Fardad
Generation of Low Distortion Adversarial Attacks via Convex Programming. ICDM (2019)
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
Progressive Weight Pruning of Deep Neural Networks using ADMM. CoRR (2018)
Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad
Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. CoRR (2018)
Pu Zhao, Kaidi Xu, Tianyun Zhang, Makan Fardad, Yanzhi Wang, Xue Lin
Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. GlobalSIP (2018)
Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers. CoRR (2018)
Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad
Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. ICLR (Workshop) (2018)
Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang
A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers. ECCV (8) (2018)
Tianyun Zhang, Kaiqi Zhang, Shaokai Ye, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang
ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs. CoRR (2018)
Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Jiaming Xie, Yun Liang, Sijia Liu, Xue Lin, Yanzhi Wang
A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM. CoRR (2018)
Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers. CoRR (2018)
Tianyun Zhang, Rui Zhang, Lingli Wang, Yu Hu
A method to build reconfigurable architectures by extracting common subgraphs. ASICON (2011)