A method to build reconfigurable architectures by extracting common subgraphs. - Tianyun Zhang; Rui Zhang; Lingli Wang; Yu Hu 002 (ASICON, 2011)

A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers. - Tianyun Zhang; Shaokai Ye; Kaiqi Zhang 003; Jian Tang 008; Wujie Wen; Makan Fardad; Yanzhi Wang (ECCV (8), 2018)

Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. - Pu Zhao 001; Kaidi Xu; Tianyun Zhang; Makan Fardad; Yanzhi Wang; Xue Lin 001 (GlobalSIP, 2018)

Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. - Tianyun Zhang; Shaokai Ye; Yipeng Zhang; Yanzhi Wang; Makan Fardad (ICLR (Workshop), 2018)

ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs. - Tianyun Zhang; Kaiqi Zhang 003; Shaokai Ye; Jiayu Li; Jian Tang 008; Wujie Wen; Xue Lin 001; Makan Fardad; Yanzhi Wang (CoRR, 2018)

Progressive Weight Pruning of Deep Neural Networks using ADMM. - Shaokai Ye; Tianyun Zhang; Kaiqi Zhang 003; Jiayu Li; Kaidi Xu; Yunfei Yang; Fuxun Yu; Jian Tang 008; Makan Fardad; Sijia Liu 001; Xiang Chen 010; Xue Lin 001; et al. (CoRR, 2018)

A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM. - Shaokai Ye; Tianyun Zhang; Kaiqi Zhang 003; Jiayu Li; Jiaming Xie; Yun Liang 001; Sijia Liu 001; Xue Lin 001; Yanzhi Wang (CoRR, 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 001; Yanzhi Wang (CoRR, 2018)

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 001; Yanzhi Wang (ASPLOS, 2019)

ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. - Hongjia Li; Ning Liu 007; Xiaolong Ma; Sheng Lin 001; Shaokai Ye; Tianyun Zhang; Xue Lin 001; Wenyao Xu; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2019)

Data Temperature-Aware Bloom Filters for Flash-Based Storage. - Wei Li; Tianyun Zhang; Dafang Zhang 001; Yupeng Hu; Kun Xie 001; Ting Zhu 001 (HPCC/SmartCity/DSS, 2019)

Generation of Low Distortion Adversarial Attacks via Convex Programming. - Tianyun Zhang; Sijia Liu 001; Yanzhi Wang; Makan Fardad (ICDM, 2019)

An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. - Geng Yuan; Xiaolong Ma; Caiwen Ding; Sheng Lin 001; Tianyun Zhang; Zeinab S. Jalali; Yilong Zhao; Li Jiang 002; Sucheta Soundarajan; Yanzhi Wang (ISLPED, 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 (SOLI, 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 001; Zhengang Li; Kaidi Xu; Wujie Wen; Sijia Liu 001; Jian Tang 008; Makan Fardad; Xue Lin 001; et al. (CoRR, 2019)

Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense. - Jingkang Wang; Tianyun Zhang; Sijia Liu 001; Pin-Yu Chen; Jiacen Xu; Makan Fardad; Bo Li 026 (CoRR, 2019)

On the Optimal Interdiction of Transportation Networks. - Tianyun Zhang; Makan Fardad (ACC, 2020)

INVITED: Computation on Sparse Neural Networks and its Implications for Future Hardware. - Fei Sun; Minghai Qin; Tianyun Zhang; Liu Liu 017; Yen-Kuang Chen; Yuan Xie 001 (DAC, 2020)

An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. - Xiaolong Ma; Wei Niu 002; Tianyun Zhang; Sijia Liu 001; Sheng Lin 001; Hongjia Li; Wujie Wen; Xiang Chen 010; Jian Tang 008; Kaisheng Ma; Bin Ren; Yanzhi Wang (ECCV (13), 2020)

Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning. - Bingbing Li; Zhenglun Kong; Tianyun Zhang; Ji Li 006; Zhengang Li; Hang Liu 001; Caiwen Ding (EMNLP (Findings), 2020)

SGCN: A Graph Sparsifier Based on Graph Convolutional Networks. - Jiayu Li 002; Tianyun Zhang; Hao Tian; Shengmin Jin; Makan Fardad; Reza Zafarani (PAKDD (1), 2020)

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. - Xiaolong Ma; Wei Niu 002; Tianyun Zhang; Sijia Liu 001; Fu-Ming Guo; Sheng Lin 001; Hongjia Li; Xiang Chen 010; Jian Tang 008; Kaisheng Ma; Bin Ren; Yanzhi Wang (CoRR, 2020)

BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. - Xiaolong Ma; Zhengang Li; Yifan Gong 004; Tianyun Zhang; Wei Niu 002; Zheng Zhan 001; Pu Zhao 001; Jian Tang 008; Xue Lin 001; Bin Ren; Yanzhi Wang (CoRR, 2020)

A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods. - Tianyun Zhang; Xiaolong Ma; Zheng Zhan 001; Shanglin Zhou; Minghai Qin; Fei Sun; Yen-Kuang Chen; Caiwen Ding; Makan Fardad; Yanzhi Wang (CoRR, 2020)

Computation on Sparse Neural Networks: an Inspiration for Future Hardware. - Fei Sun; Minghai Qin; Tianyun Zhang; Liu Liu 017; Yen-Kuang Chen; Yuan Xie 001 (CoRR, 2020)

A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. - Tianyun Zhang; Xiaolong Ma; Zheng Zhan 001; Shanglin Zhou; Caiwen Ding; Makan Fardad; Yanzhi Wang (DAC, 2021)

Towards AQFP-Capable Physical Design Automation. - Hongjia Li; Mengshu Sun; Tianyun Zhang; Olivia Chen; Nobuyuki Yoshikawa; Bei Yu 001; Yanzhi Wang; Yibo Lin (DATE, 2021)

Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. - Zheng Zhan 001; Yifan Gong 004; Pu Zhao 001; Geng Yuan; Wei Niu 002; Yushu Wu; Tianyun Zhang; Malith Jayaweera; David R. Kaeli; Bin Ren; Xue Lin 001; Yanzhi Wang (ICCV, 2021)

Adversarial Attack Generation Empowered by Min-Max Optimization. - Jingkang Wang; Tianyun Zhang; Sijia Liu 001; Pin-Yu Chen; Jiacen Xu; Makan Fardad; Bo Li 026 (NeurIPS, 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 001 (CoRR, 2021)

Loss Attitude Aware Energy Management for Signal Detection. - Baocheng Geng; Chen Quan; Tianyun Zhang; Makan Fardad; Pramod K. Varshney (IEEECONF, 2022)

AdverSparse: An Adversarial Attack Framework for Deep Spatial-Temporal Graph Neural Networks. - Jiayu Li 002; Tianyun Zhang; Shengmin Jin; Makan Fardad; Reza Zafarani (ICASSP, 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 001 (ICTAI, 2022)

BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. - Xiaolong Ma; Geng Yuan; Zhengang Li; Yifan Gong 004; Tianyun Zhang; Wei Niu 002; Zheng Zhan 001; Pu Zhao 001; Ning Liu 007; Jian Tang 008; Xue Lin 001; Bin Ren; et al. (ISQED, 2022)

When 360-degree video meets 5G: a measurement study of delay in live streaming. - Haitao Liu; Xinyi Zhang 004; Xiang Zhou; Tianyun Zhang; Yanbiao Li; Zhenyu Li 001; Gaogang Xie (MobiArch, 2022)

Graph sparsification with graph convolutional networks. - Jiayu Li 002; Tianyun Zhang; Hao Tian; Shengmin Jin; Makan Fardad; Reza Zafarani (Int. J. Data Sci. Anal., 2022)

StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. - Tianyun Zhang; Shaokai Ye; Xiaoyu Feng; Xiaolong Ma; Kaiqi Zhang 003; Zhengang Li; Jian Tang 008; Sijia Liu 001; Xue Lin 001; Yongpan Liu; Makan Fardad; Yanzhi Wang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Semi-Supervised Graph Ultra-Sparsifier Using Reweighted ℓ1 Optimization. - Jiayu Li 002; Tianyun Zhang; Shengmin Jin; Reza Zafarani (ICASSP, 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 (ISQED, 2023)

RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection. - Jin Ma 005; Jinlong Li; Qing Guo 005; Tianyun Zhang; Yuewei Lin; Hongkai Yu (CoRR, 2023)

Deep Transfer Learning for Intelligent Vehicle Perception: a Survey. - Xinyu Liu 009; Jinlong Li; Jin Ma 005; Huiming Sun; Zhigang Xu 001; Tianyun Zhang; Hongkai Yu (CoRR, 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 015; Zhi Li; Tianyun Zhang; Kunyan Cai; Gaopeng Huang; Wenhao Chen; Zhaoyang Xu; Liangqiong Qu; Ji Hu 002; Tingyu Wang; et al. (CoRR, 2023)

A Min-Max Optimization Framework for Multi-task Deep Neural Network Compression. - Jiacheng Guo; Huiming Sun; Minghai Qin; Hongkai Yu; Tianyun Zhang (ISCAS, 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 (IV, 2024)

Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation. - Xingru Huang; Yihao Guo; Jian Huang 015; Tianyun Zhang; Hong He; Shaowei Jiang; Yaoqi Sun (NeurIPS, 2024)

Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection. - Huiming Sun; Lan Fu; Jinlong Li; Qing Guo 005; Zibo Meng; Tianyun Zhang; Yuewei Lin; Hongkai Yu (WACV, 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)

Stealthy Multi-Task Adversarial Attacks. - Jiacheng Guo; Tianyun Zhang; Lei Li; Haochen Yang; Hongkai Yu; Minghai Qin (CoRR, 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 002; Kai Jin; Xingru Huang (Sensors, 2024)

SASAN: Spectrum-Axial Spatial Approach Networks for Medical Image Segmentation. - Xingru Huang; Jian Huang 015; Kai Zhao; Tianyun Zhang; Zhi Li; Changpeng Yue; Wenhao Chen; Ruihao Wang; Xuanbin Chen; Qianni Zhang; Ying Fu 001; Yangyundou Wang; et al. (IEEE Trans. Medical Imaging, 2024)

An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing. - Lei Li; Haochen Yang; Jiacheng Guo; Hongkai Yu; Minghai Qin; Tianyun Zhang (AAAI, 2025)

GLoCIM: Global-view Long Chain Interest Modeling for news recommendation. - Zhen Yang; Wenhui Wang; Tao Qi; Peng Zhang; Tianyun Zhang; Ru Zhang; Jianyi Liu; Yongfeng Huang (COLING, 2025)

Robust Multi-task Adversarial Attacks Using Min-max Optimization. - Jiacheng Guo; Lei Li; Haochen Yang; Baocheng Geng; Hongkai Yu; Minghai Qin; Tianyun Zhang (ICASSP, 2025)

A min-max optimization framework for sparse multi-task deep neural network. - Jiacheng Guo; Lei Li; Huiming Sun; Minghai Qin; Hongkai Yu; Tianyun Zhang (Neurocomputing, 2025)

LiGu-LVM: Linguistic-Guided Generative Large Vision Model for IoMT Clinical Ocular Disease Screening via Morphology Dissection. - Xingru Huang; Tianyun Zhang; Jian Huang 015; Yihao Guo; Gaopeng Huang; Han Yang; Zhiwen Zheng; Lou Zhao; Shaowei Jiang; Jin Liu; Guan Gui 001; Xiaoshuai Zhang (IEEE Internet Things J., 2025)

A unified DNN weight compression framework using reweighted optimization methods. - Mengchen Fan; Tianyun Zhang; Xiaolong Ma; Jiacheng Guo; Zheng Zhan 001; Shanglin Zhou; Minghai Qin; Caiwen Ding; Baocheng Geng; Makan Fardad; Yanzhi Wang (Intell. Syst. Appl., 2025)

Multidimensional Directionality-Enhanced Segmentation via large vision model. - Xingru Huang; Changpeng Yue; Yihao Guo; Jian Huang 015; Zhengyao Jiang; Mingkuan Wang; Zhaoyang Xu; Guangyuan Zhang; Jin Liu; Tianyun Zhang; Zhiwen Zheng; Xiaoshuai Zhang; et al. (Medical Image Anal., 2025)

PFedDST: Personalized Federated Learning with Decentralized Selection Training. - Mengchen Fan; Keren Li; Tianyun Zhang; Qing Tian; Baocheng Geng (CoRR, 2025)

Multi-aspect fusion in foundational large vision model for visible light medical imaging segmentation. - Xingru Huang; Tianyun Zhang; Zhaoyang Xu; Jian Huang 015; Gaopeng Huang; Han Yang; Binfeng Zou; Shouqin Ding; Renjie Ruan; Zhao Huang; Huiyu Zhou 001; Jin Liu; et al. (Inf. Fusion, 2026)