Tianyun Zhang - RankMe

77 papers A* 11A 3B 3C 3Misc 3Journal 37Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on the Expanding Scope and Interdisciplinary Opportunities for Processing-in-Memory Techniques. IEEE Access Kazi Asifuzzaman, Yuan He, Tianyun Zhang, Eric Tang, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter
2026	J	`jnl`	DarkDriving: A Real-World Day and Night Aligned Dataset for Autonomous Driving in the Dark Environment. CoRR Wuqi Wang, Haochen Yang, Baolu Li, Jiaqi Sun, Xiangmo Zhao, Zhigang Xu, Qing Guo, Haigen Min, Tianyun Zhang, Hongkai Yu
2026	J	`jnl`	Multi-aspect fusion in foundational large vision model for visible light medical imaging segmentation. Inf. Fusion Xingru Huang, Tianyun Zhang, Zhaoyang Xu, Jian Huang, Gaopeng Huang, Han Yang, Binfeng Zou, Shouqin Ding, Renjie Ruan, Zhao Huang, Huiyu Zhou, Jin Liu, Zhiwen Zheng, Shaowei Jiang, Xiaoshuai Zhang
2025	J	`jnl`	A Low-Rank Method for Vision Language Model Hallucination Mitigation in Autonomous Driving. CoRR Keke Long, Jiacheng Guo, Tianyun Zhang, Hongkai Yu, Xiaopeng Li
2025	—	`conf`	A Unified Framework for the Convergence and Weight Pruning in Federated Learning. MMAsia Mengchen Fan, Tianyun Zhang, Baocheng Geng
2025	J	`jnl`	A min-max optimization framework for sparse multi-task deep neural network. Neurocomputing Jiacheng Guo, Lei Li, Huiming Sun, Minghai Qin, Hongkai Yu, Tianyun Zhang
2025	J	`jnl`	A unified DNN weight compression framework using reweighted optimization methods. Intell. Syst. Appl. Mengchen Fan, Tianyun Zhang, Xiaolong Ma, Jiacheng Guo, Zheng Zhan, Shanglin Zhou, Minghai Qin, Caiwen Ding, Baocheng Geng, Makan Fardad, Yanzhi Wang
2025	A*	`conf`	An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing. AAAI Lei Li, Haochen Yang, Jiacheng Guo, Hongkai Yu, Minghai Qin, Tianyun Zhang
2025	A*	`conf`	CycSeq: Leveraging Cyclic Data Generation for Accurate Perturbation Prediction in Single-Cell RNA-Seq. IJCAI Yicheng Liu, Sai Wu, Tianyun Zhang, Chang Yao, Ning Shen
2025	A*	`conf`	DA3D: Domain-Aware Dynamic Adaptation for All-Weather Multimodal 3D Detection. ACM Multimedia Haochen Yang, Lei Li, Jiacheng Guo, Baolu Li, Minghai Qin, Hongkai Yu, Tianyun Zhang
2025	B	`conf`	GLoCIM: Global-view Long Chain Interest Modeling for news recommendation. COLING Zhen Yang, Wenhui Wang, Tao Qi, Peng Zhang, Tianyun Zhang, Ru Zhang, Jianyi Liu, Yongfeng Huang
2025	—	`conf`	Hardware-Software Co-Design of Iterative Filter-Update Numerical Methods Using Processing-In-Memory. SC Workshops Eric Tang, Tianyun Zhang, William Bradford, Farzana Ahmed Siddique, James C. Hoe, Kevin Skadron, Franz Franchetti
2025	J	`jnl`	LiGu-LVM: Linguistic-Guided Generative Large Vision Model for IoMT Clinical Ocular Disease Screening via Morphology Dissection. IEEE Internet Things J. Xingru Huang, Tianyun Zhang, Jian Huang, Yihao Guo, Gaopeng Huang, Han Yang, Zhiwen Zheng, Lou Zhao, Shaowei Jiang, Jin Liu, Guan Gui, Xiaoshuai Zhang
2025	J	`jnl`	Multidimensional Directionality-Enhanced Segmentation via large vision model. Medical Image Anal. Xingru Huang, Changpeng Yue, Yihao Guo, Jian Huang, Zhengyao Jiang, Mingkuan Wang, Zhaoyang Xu, Guangyuan Zhang, Jin Liu, Tianyun Zhang, Zhiwen Zheng, Xiaoshuai Zhang, Hong He, Shaowei Jiang, Yaoqi Sun
2025	B	`conf`	PFedDST: Personalized Federated Learning with Decentralized Selection Training. IJCNN Mengchen Fan, Keren Li, Tianyun Zhang, Qing Tian, Baocheng Geng
2025	J	`jnl`	PFedDST: Personalized Federated Learning with Decentralized Selection Training. CoRR Mengchen Fan, Keren Li, Tianyun Zhang, Qing Tian, Baocheng Geng
2025	Misc	`conf`	Robust Multi-task Adversarial Attacks Using Min-max Optimization. ICASSP Jiacheng Guo, Lei Li, Haochen Yang, Baocheng Geng, Hongkai Yu, Minghai Qin, Tianyun Zhang
2025	—	`conf`	Task-Aware Federated Multi-Task Learning. MMAsia Lei Li, Haochen Yang, Jiacheng Guo, Hongkai Yu, Minghai Qin, Tianyun Zhang
2025	A*	`conf`	Volumetric Axial Disentanglement Enabling Advancing in Medical Image Segmentation. IJCAI Xingru Huang, Jian Huang, Yihao Guo, Tianyun Zhang, Zhao Huang, Yaqi Wang, Ruipu Tang, Guangliang Cheng, Shaowei Jiang, Zhiwen Zheng, Jin Liu, Renjie Ruan, Xiaoshuai Zhang
2024	C	`conf`	A Min-Max Optimization Framework for Multi-task Deep Neural Network Compression. ISCAS Jiacheng Guo, Huiming Sun, Minghai Qin, Hongkai Yu, Tianyun Zhang
2024	A	`conf`	Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection. WACV Huiming Sun, Lan Fu, Jinlong Li, Qing Guo, Zibo Meng, Tianyun Zhang, Yuewei Lin, Hongkai Yu
2024	C	`conf`	EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV. IV Huiming Sun, Jiacheng Guo, Zibo Meng, Tianyun Zhang, Jianwu Fang, Yuewei Lin, Hongkai Yu
2024	J	`jnl`	EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV. CoRR Huiming Sun, Jiacheng Guo, Zibo Meng, Tianyun Zhang, Jianwu Fang, Yuewei Lin, Hongkai Yu
2024	J	`jnl`	LICM: Effective and Efficient Long Interest Chain Modeling for News Recommendation. CoRR Zhen Yang, Wenhui Wang, Tao Qi, Peng Zhang, Tianyun Zhang, Ru Zhang, Jianyi Liu, Yongfeng Huang
2024	J	`jnl`	SASAN: Spectrum-Axial Spatial Approach Networks for Medical Image Segmentation. IEEE Trans. Medical Imaging 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
2024	J	`jnl`	Segmentation of Low-Light Optical Coherence Tomography Angiography Images under the Constraints of Vascular Network Topology. Sensors Zhi Li, Gaopeng Huang, Binfeng Zou, Wenhao Chen, Tianyun Zhang, Zhaoyang Xu, Kunyan Cai, Tingyu Wang, Yaoqi Sun, Yaqi Wang, Kai Jin, Xingru Huang
2024	J	`jnl`	Stealthy Multi-Task Adversarial Attacks. CoRR Jiacheng Guo, Tianyun Zhang, Lei Li, Haochen Yang, Hongkai Yu, Minghai Qin
2024	A*	`conf`	Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation. NeurIPS Xingru Huang, Yihao Guo, Jian Huang, Tianyun Zhang, Hong He, Shaowei Jiang, Yaoqi Sun
2023	—	`conf`	Automatic Subnetwork Search Through Dynamic Differentiable Neuron Pruning. ISQED Zigeng Wang, Bingbing Li, Xia Xiao, Tianyun Zhang, Mikhail A. Bragin, Bing Yan, Caiwen Ding, Sanguthevar Rajasekaran
2023	J	`jnl`	DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Macular Hole Reconstruction with Stochastic Retinal Defect Augmentation and Dynamic Weight Composition. CoRR 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
2023	J	`jnl`	Deep Transfer Learning for Intelligent Vehicle Perception: a Survey. CoRR Xinyu Liu, Jinlong Li, Jin Ma, Huiming Sun, Zhigang Xu, Tianyun Zhang, Hongkai Yu
2023	J	`jnl`	Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection. CoRR Huiming Sun, Lan Fu, Jinlong Li, Qing Guo, Zibo Meng, Tianyun Zhang, Yuewei Lin, Hongkai Yu
2023	J	`jnl`	RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection. CoRR Jin Ma, Jinlong Li, Qing Guo, Tianyun Zhang, Yuewei Lin, Hongkai Yu
2023	Misc	`conf`	Semi-Supervised Graph Ultra-Sparsifier Using Reweighted ℓ1 Optimization. ICASSP Jiayu Li, Tianyun Zhang, Shengmin Jin, Reza Zafarani
2022	Misc	`conf`	AdverSparse: An Adversarial Attack Framework for Deep Spatial-Temporal Graph Neural Networks. ICASSP Jiayu Li, Tianyun Zhang, Shengmin Jin, Makan Fardad, Reza Zafarani
2022	—	`conf`	BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. ISQED 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
2022	B	`conf`	Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. ICTAI Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie
2022	J	`jnl`	Graph sparsification with graph convolutional networks. Int. J. Data Sci. Anal. Jiayu Li, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, Reza Zafarani
2022	—	`conf`	Loss Attitude Aware Energy Management for Signal Detection. IEEECONF Baocheng Geng, Chen Quan, Tianyun Zhang, Makan Fardad, Pramod K. Varshney
2022	J	`jnl`	StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. IEEE Trans. Neural Networks Learn. Syst. Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad, Yanzhi Wang
2022	—	`conf`	When 360-degree video meets 5G: a measurement study of delay in live streaming. MobiArch Haitao Liu, Xinyi Zhang, Xiang Zhou, Tianyun Zhang, Yanbiao Li, Zhenyu Li, Gaogang Xie
2021	A*	`conf`	A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. DAC Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Caiwen Ding, Makan Fardad, Yanzhi Wang
2021	A*	`conf`	Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. ICCV 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
2021	J	`jnl`	Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. CoRR 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
2021	A*	`conf`	Adversarial Attack Generation Empowered by Min-Max Optimization. NeurIPS Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li
2021	J	`jnl`	Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. CoRR Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie
2021	J	`jnl`	Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks. CoRR Fei Sun, Minghai Qin, Tianyun Zhang, Xiaolong Ma, Haoran Li, Junwen Luo, Zihao Zhao, Yen-Kuang Chen, Yuan Xie
2021	A	`conf`	Towards AQFP-Capable Physical Design Automation. DATE Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin
2020	J	`jnl`	A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods. CoRR Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Minghai Qin, Fei Sun, Yen-Kuang Chen, Caiwen Ding, Makan Fardad, Yanzhi Wang
2020	—	`conf`	An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. ECCV (13) Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
2020	J	`jnl`	An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. CoRR 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
2020	J	`jnl`	BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. CoRR Xiaolong Ma, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang
2020	J	`jnl`	Computation on Sparse Neural Networks: an Inspiration for Future Hardware. CoRR Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie
2020	—	`conf`	Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning. EMNLP (Findings) Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding
2020	J	`jnl`	Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning. CoRR Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding
2020	A*	`conf`	INVITED: Computation on Sparse Neural Networks and its Implications for Future Hardware. DAC Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie
2020	C	`conf`	On the Optimal Interdiction of Transportation Networks. ACC Tianyun Zhang, Makan Fardad
2020	—	`conf`	SGCN: A Graph Sparsifier Based on Graph Convolutional Networks. PAKDD (1) Jiayu Li, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, Reza Zafarani
2019	A*	`conf`	ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers. ASPLOS Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
2019	—	`conf`	ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. ACM Great Lakes Symposium on VLSI Hongjia Li, Ning Liu, Xiaolong Ma, Sheng Lin, Shaokai Ye, Tianyun Zhang, Xue Lin, Wenyao Xu, Yanzhi Wang
2019	A	`conf`	An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. ISLPED Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang
2019	J	`jnl`	An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. CoRR Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang
2019	J	`jnl`	Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense. CoRR Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li
2019	—	`conf`	Data Temperature-Aware Bloom Filters for Flash-Based Storage. HPCC/SmartCity/DSS Wei Li, Tianyun Zhang, Dafang Zhang, Yupeng Hu, Kun Xie, Ting Zhu
2019	A*	`conf`	Generation of Low Distortion Adversarial Attacks via Convex Programming. ICDM Tianyun Zhang, Sijia Liu, Yanzhi Wang, Makan Fardad
2019	J	`jnl`	Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. CoRR 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
2019	—	`conf`	State Evaluation of Power Transformer Based on Digital Twin. SOLI Yong Yang, Zhu Chen, Jing Yan, Zhi Xiong, Jun Zhang, Hongxia Yuan, Yali Tu, Tianyun Zhang
2018	—	`conf`	A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers. ECCV (8) Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang
2018	J	`jnl`	A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers. CoRR Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang
2018	J	`jnl`	A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM. CoRR Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Jiaming Xie, Yun Liang, Sijia Liu, Xue Lin, Yanzhi Wang
2018	J	`jnl`	ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs. CoRR Tianyun Zhang, Kaiqi Zhang, Shaokai Ye, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang
2018	J	`jnl`	ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers. CoRR Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
2018	J	`jnl`	Progressive Weight Pruning of Deep Neural Networks using ADMM. CoRR 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
2018	—	`conf`	Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. GlobalSIP Pu Zhao, Kaidi Xu, Tianyun Zhang, Makan Fardad, Yanzhi Wang, Xue Lin
2018	—	`conf`	Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. ICLR (Workshop) Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad
2018	J	`jnl`	Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. CoRR Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad
2011	—	`conf`	A method to build reconfigurable architectures by extracting common subgraphs. ASICON Tianyun Zhang, Rui Zhang, Lingli Wang, Yu Hu