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2020 – today
- 2024
[j4]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): 774 (2024)- [j3]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): 3044-3056 (2024) - [c29]Jiacheng Guo, Huiming Sun, Minghai Qin, Hongkai Yu, Tianyun Zhang:
A Min-Max Optimization Framework for Multi-task Deep Neural Network Compression. ISCAS 2024: 1-5 - [c28]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: 545-552 - [c27]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: 8330-8339 - [i23]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 abs/2403.05422 (2024) - [i22]Zhen Yang, Wenhui Wang, Tao Qi, Peng Zhang, Tianyun Zhang, Ru Zhang, Jianyi Liu, Yongfeng Huang:
LICM: Effective and Efficient Long Interest Chain Modeling for News Recommendation. CoRR abs/2408.00859 (2024) - 2023
- [c26]Jiayu Li, Tianyun Zhang, Shengmin Jin, Reza Zafarani:
Semi-Supervised Graph Ultra-Sparsifier Using Reweighted ℓ1 Optimization. ICASSP 2023: 1-5 - [c25]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: 1-6 - [i21]Jin Ma, Jinlong Li, Qing Guo, Tianyun Zhang, Yuewei Lin, Hongkai Yu:
RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection. CoRR abs/2306.12621 (2023) - [i20]Xinyu Liu, Jinlong Li, Jin Ma, Huiming Sun, Zhigang Xu, Tianyun Zhang, Hongkai Yu:
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey. CoRR abs/2306.15110 (2023) - [i19]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 abs/2306.17431 (2023) - [i18]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 abs/2311.00483 (2023) - 2022
- [j2]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): 33-46 (2022) - [j1]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): 2259-2273 (2022) - [c24]Baocheng Geng, Chen Quan, Tianyun Zhang, Makan Fardad, Pramod K. Varshney:
Loss Attitude Aware Energy Management for Signal Detection. IEEECONF 2022: 824-828 - [c23]Jiayu Li, Tianyun Zhang, Shengmin Jin, Makan Fardad, Reza Zafarani:
AdverSparse: An Adversarial Attack Framework for Deep Spatial-Temporal Graph Neural Networks. ICASSP 2022: 5857-5861 - [c22]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: 555-562 - [c21]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: 1-8 - [c20]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 2022: 7-12 - 2021
- [c19]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: 493-498 - [c18]Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin:
Towards AQFP-Capable Physical Design Automation. DATE 2021: 954-959 - [c17]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: 4801-4811 - [c16]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: 16020-16033 - [i17]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 abs/2108.08910 (2021) - [i16]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 abs/2112.10898 (2021) - [i15]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 abs/2112.10930 (2021) - 2020
- [c15]Tianyun Zhang, Makan Fardad:
On the Optimal Interdiction of Transportation Networks. ACC 2020: 4701-4706 - [c14]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: 1-6 - [c13]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: 629-645 - [c12]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: 3187-3199 - [c11]Jiayu Li, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, Reza Zafarani:
SGCN: A Graph Sparsifier Based on Graph Convolutional Networks. PAKDD (1) 2020: 275-287 - [i14]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 abs/2001.07710 (2020) - [i13]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 abs/2001.08357 (2020) - [i12]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 abs/2004.05531 (2020) - [i11]Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie:
Computation on Sparse Neural Networks: an Inspiration for Future Hardware. CoRR abs/2004.11946 (2020) - [i10]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 abs/2009.08065 (2020)
2010 – 2019
- 2019
- [c10]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: 925-938 - [c9]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: 501-506 - [c8]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: 1421-1428 - [c7]Tianyun Zhang, Sijia Liu, Yanzhi Wang, Makan Fardad:
Generation of Low Distortion Adversarial Attacks via Convex Programming. ICDM 2019: 1486-1491 - [c6]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: 1-6 - [c5]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: 230-235 - [i9]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 abs/1903.09769 (2019) - [i8]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 abs/1906.03563 (2019) - [i7]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 abs/1908.11691 (2019) - 2018
- [c4]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: 191-207 - [c3]Pu Zhao, Kaidi Xu, Tianyun Zhang, Makan Fardad, Yanzhi Wang, Xue Lin:
Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. GlobalSIP 2018: 1169-1173 - [c2]Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad:
Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. ICLR (Workshop) 2018 - [i6]Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad:
Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. CoRR abs/1802.05747 (2018) - [i5]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 abs/1804.03294 (2018) - [i4]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 abs/1807.11091 (2018) - [i3]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 abs/1810.07378 (2018) - [i2]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 abs/1811.01907 (2018) - [i1]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 abs/1812.11677 (2018) - 2011
- [c1]Tianyun Zhang, Rui Zhang, Lingli Wang, Yu Hu:
A method to build reconfigurable architectures by extracting common subgraphs. ASICON 2011: 970-973
Coauthor Index
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