Zheng Zhan - RankMe

59 papers A* 18A 3Misc 1Journal 32Unranked 5

Year	Rank	Type	Title / Venue / Authors
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	J	`jnl`	Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation. CoRR Liliang Ren, Congcong Chen, Haoran Xu, Young Jin Kim, Adam Atkinson, Zheng Zhan, Jiankai Sun, Baolin Peng, Liyuan Liu, Shuohang Wang, Hao Cheng, Jianfeng Gao, Weizhu Chen, Yelong Shen
2025	J	`jnl`	Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation. CoRR Zhenglun Kong, Zheng Zhan, Shiyue Hou, Yifan Gong, Xin Meng, Pengwei Sui, Peiyan Dong, Xuan Shen, Zifeng Wang, Pu Zhao, Hao Tang, Stratis Ioannidis, Yanzhi Wang
2025	A*	`conf`	FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts. IJCAI Changdi Yang, Zheng Zhan, Ci Zhang, Yifan Gong, Yize Li, Zichong Meng, Jun Liu, Xuan Shen, Hao Tang, Geng Yuan, Pu Zhao, Xue Lin, Yanzhi Wang
2025	J	`jnl`	Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning. CoRR Qitao Tan, Jun Liu, Zheng Zhan, Caiwei Ding, Yanzhi Wang, Jin Lu, Geng Yuan
2025	J	`jnl`	LightCache: Memory-Efficient, Training-Free Acceleration for Video Generation. CoRR Yang Xiao, Gen Li, Kaiyuan Deng, Yushu Wu, Zheng Zhan, Yanzhi Wang, Xiaolong Ma, Bo Hui
2025	A	`conf`	Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training. ICCAD Qitao Tan, Sung-En Chang, Rui Xia, Huidong Ji, Chence Yang, Ci Zhang, Jun Liu, Zheng Zhan, Zhenman Fang, Zhuo Zou, Yanzhi Wang, Jin Lu, Geng Yuan
2025	J	`jnl`	Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training. CoRR Qitao Tan, Sung-En Chang, Rui Xia, Huidong Ji, Chence Yang, Ci Zhang, Jun Liu, Zheng Zhan, Zhou Zou, Yanzhi Wang, Jin Lu, Geng Yuan
2025	J	`jnl`	Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection. CoRR Zheng Zhan, Liliang Ren, Shuohang Wang, Liyuan Liu, Yang Liu, Yeyun Gong, Yanzhi Wang, Yelong Shen
2025	A*	`conf`	Sparse Learning for State Space Models on Mobile. ICLR Xuan Shen, Hangyu Zheng, Yifan Gong, Zhenglun Kong, Changdi Yang, Zheng Zhan, Yushu Wu, Xue Lin, Yanzhi Wang, Pu Zhao, Wei Niu
2024	—	`conf`	DiffClass: Diffusion-Based Class Incremental Learning. ECCV (87) Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao, Yanzhi Wang
2024	J	`jnl`	DiffClass: Diffusion-Based Class Incremental Learning. CoRR Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao, Yanzhi Wang
2024	J	`jnl`	E CoRR Yifan Gong, Zheng Zhan, Qing Jin, Yanyu Li, Yerlan Idelbayev, Xian Liu, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren
2024	A*	`conf`	E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. ICML Yifan Gong, Zheng Zhan, Qing Jin, Yanyu Li, Yerlan Idelbayev, Xian Liu, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren
2024	—	`conf`	Efficient Training with Denoised Neural Weights. ECCV (83) Yifan Gong, Zheng Zhan, Yanyu Li, Yerlan Idelbayev, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren
2024	J	`jnl`	Efficient Training with Denoised Neural Weights. CoRR Yifan Gong, Zheng Zhan, Yanyu Li, Yerlan Idelbayev, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren
2024	A*	`conf`	Exploring Token Pruning in Vision State Space Models. NeurIPS Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang
2024	J	`jnl`	Exploring Token Pruning in Vision State Space Models. CoRR Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang
2024	A*	`conf`	Fast and Memory-Efficient Video Diffusion Using Streamlined Inference. NeurIPS Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang
2024	J	`jnl`	Fast and Memory-Efficient Video Diffusion Using Streamlined Inference. CoRR Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang
2024	A*	`conf`	LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. DAC Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang
2024	J	`jnl`	Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devices. CoRR Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang
2024	J	`jnl`	Mojito: Motion Trajectory and Intensity Control for Video Generation. CoRR Xuehai He, Shuohang Wang, Jianwei Yang, Xiaoxia Wu, Yiping Wang, Kuan Wang, Zheng Zhan, Olatunji Ruwase, Yelong Shen, Xin Eric Wang
2024	A*	`conf`	Rethinking Token Reduction for State Space Models. EMNLP Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang
2024	J	`jnl`	Rethinking Token Reduction for State Space Models. CoRR Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang
2024	A*	`conf`	Search for Efficient Large Language Models. NeurIPS Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang
2024	J	`jnl`	Search for Efficient Large Language Models. CoRR Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang
2023	A*	`conf`	Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. DAC Yifan Gong, Pu Zhao, Zheng Zhan, Yushu Wu, Chao Wu, Zhenglun Kong, Minghai Qin, Caiwen Ding, Yanzhi Wang
2023	A*	`conf`	DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. ICML Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2023	J	`jnl`	DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. CoRR Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2023	A	`conf`	MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference. ICCAD Yushu Wu, Yifan Gong, Zheng Zhan, Geng Yuan, Yanyu Li, Qi Wang, Chao Wu, Yanzhi Wang
2022	A	`conf`	All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. ICCAD Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
2022	J	`jnl`	All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. CoRR Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
2022	J	`jnl`	Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. ACM Trans. Design Autom. Electr. Syst. Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
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	—	`conf`	Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. ECCV (19) Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang
2022	J	`jnl`	Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. CoRR Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang
2022	J	`jnl`	Radio Frequency Fingerprinting on the Edge. IEEE Trans. Mob. Comput. Tong Jian, Yifan Gong, Zheng Zhan, Runbin Shi, Nasim Soltani, Zifeng Wang, Jennifer G. Dy, Kaushik R. Chowdhury, Yanzhi Wang, Stratis Ioannidis
2022	A*	`conf`	SparCL: Sparse Continual Learning on the Edge. NeurIPS Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2022	J	`jnl`	SparCL: Sparse Continual Learning on the Edge. CoRR Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
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	J	`jnl`	Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. CoRR Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
2021	A*	`conf`	MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. NeurIPS Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin
2021	J	`jnl`	MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. CoRR Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin
2021	A*	`conf`	NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. CVPR Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin
2021	A*	`conf`	Representation Learning on Spatial Networks. NeurIPS Zheng Zhan, Liang Zhao
2020	J	`jnl`	6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. CoRR Zhengang Li, Geng Yuan, Wei Niu, Yanyu Li, Pu Zhao, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin
2020	J	`jnl`	A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. CoRR Zheng Zhan, Yifan Gong, Zhengang Li, Pu Zhao, Xiaolong Ma, Wei Niu, Xiaolin Xu, Bin Ren, Yanzhi Wang, Xue Lin
2020	—	`conf`	A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework. ACM Great Lakes Symposium on VLSI Yifan Gong, Zheng Zhan, Zhengang Li, Wei Niu, Xiaolong Ma, Wenhao Wang, Bin Ren, Caiwen Ding, Xue Lin, Xiaolin Xu, Yanzhi Wang
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	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`	SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency. CoRR Zhengang Li, Yifan Gong, Xiaolong Ma, Sijia Liu, Mengshu Sun, Zheng Zhan, Zhenglun Kong, Geng Yuan, Yanzhi Wang
2020	A*	`conf`	Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. IJCAI Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren
2020	J	`jnl`	Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. CoRR Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren
2019	A*	`conf`	Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. AAAI Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin
2018	J	`jnl`	On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks. CoRR Yanzhi Wang, Zheng Zhan, Jiayu Li, Jian Tang, Bo Yuan, Liang Zhao, Wujie Wen, Siyue Wang, Xue Lin
2014	Misc	`conf`	Complexity science management and big data. GrC Zheng Zhan, Xiaojing Zheng, Taiyuanyuan, Zhao Wei, Tianqi Cai