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ORCIDYifan Gong 0004
Person information
- affiliation: Northeastern University, Boston, MA, USA
- affiliation: University of Toronto, Department of Electrical and Computer Engineering, ON, Canada
Other persons with the same name
- Yifan Gong 0001 — Microsoft Corporation, Redmond, WA, USA (and 3 more)
- Yifan Gong 0002
![[0000-0002-0267-9673]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0267-9673")
— Chongqing University of Technology, Institute of Electrical and Electronic Engineering, China - Yifan Gong 0003 — TuSimple, Beijing, China (and 1 more)
- Yifan Gong 0005 — Xi'an Jiaotong University, School of Microelectronics, China
- Yifan Gong 0006 — Chinese Academy of Sciences, National Space Science Center, Beijing, China
- Yifan Gong 0007 — Hangzhou Dianzi University, School of Computer Science, China
- Yifan Gong 0008 — University of California, Design Lab, CA, USA
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2020 – today
- 2024
[j3]Yuguang Yao, Xiao Guo, Vishal Asnani, Yifan Gong, Jiancheng Liu, Xue Lin, Xiaoming Liu, Sijia Liu:
Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks. Found. Trends Priv. Secur. 6(2): 53-152 (2024)- [c19]Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang:
LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. DAC 2024: 199:1-199:6 - [c18]Yifan Gong, Zheng Zhan, Yanyu Li, Yerlan Idelbayev, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
Efficient Training with Denoised Neural Weights. ECCV (83) 2024: 18-34 - [c17]Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang:
Rethinking Token Reduction for State Space Models. EMNLP 2024: 1686-1697 - [c16]Yifan Gong, Zheng Zhan, Qing Jin, Yanyu Li, Yerlan Idelbayev, Xian Liu, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. ICML 2024 - [i23]Yifan Gong, Zheng Zhan, Qing Jin, Yanyu Li, Yerlan Idelbayev, Xian Liu, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. CoRR abs/2401.06127 (2024) - [i22]Yifan Gong, Zheng Zhan, Yanyu Li, Yerlan Idelbayev, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
Efficient Training with Denoised Neural Weights. CoRR abs/2407.11966 (2024) - [i21]Chao Wu, Yifan Gong, Liangkai Liu, Mengquan Li, Yushu Wu, Xuan Shen, Zhimin Li, Geng Yuan, Weisong Shi, Yanzhi Wang:
AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge. CoRR abs/2408.05363 (2024) - [i20]Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang:
Search for Efficient Large Language Models. CoRR abs/2409.17372 (2024) - [i19]Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang:
Exploring Token Pruning in Vision State Space Models. CoRR abs/2409.18962 (2024) - [i18]Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang:
Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devices. CoRR abs/2410.10847 (2024) - [i17]Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang:
Rethinking Token Reduction for State Space Models. CoRR abs/2410.14725 (2024) - [i16]Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang:
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference. CoRR abs/2411.01171 (2024) - [i15]Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu:
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. CoRR abs/2412.12444 (2024) - 2023
- [c15]Yifan Gong, Pu Zhao, Zheng Zhan, Yushu Wu, Chao Wu, Zhenglun Kong, Minghai Qin, Caiwen Ding, Yanzhi Wang:
Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. DAC 2023: 1-6 - [c14]Yushu Wu, Yifan Gong, Zheng Zhan, Geng Yuan, Yanyu Li, Qi Wang, Chao Wu, Yanzhi Wang:
MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference. ICCAD 2023: 1-10 - [c13]Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang:
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. ICLR 2023 - [c12]Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. ICML 2023: 36578-36592 - [c11]Peiyan Dong, Zhenglun Kong, Xin Meng, Pinrui Yu, Yifan Gong, Geng Yuan, Hao Tang, Yanzhi Wang:
HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception. NeurIPS 2023 - [i14]Yuguang Yao, Jiancheng Liu, Yifan Gong, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu:
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? CoRR abs/2303.07474 (2023) - [i13]Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. CoRR abs/2305.00380 (2023) - 2022
- [j2]Tong Jian, Yifan Gong, Zheng Zhan, Runbin Shi, Nasim Soltani, Zifeng Wang, Jennifer G. Dy, Kaushik R. Chowdhury, Yanzhi Wang, Stratis Ioannidis:
Radio Frequency Fingerprinting on the Edge. IEEE Trans. Mob. Comput. 21(11): 4078-4093 (2022) - [j1]Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang:
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. ACM Trans. Design Autom. Electr. Syst. 27(5): 47:1-47:26 (2022) - [c10]Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang:
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. ECCV (19) 2022: 92-111 - [c9]Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang:
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. ICCAD 2022: 133:1-133:9 - [c8]Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu:
Reverse Engineering of Imperceptible Adversarial Image Perturbations. ICLR 2022 - [c7]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 - [c6]Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
SparCL: Sparse Continual Learning on the Edge. NeurIPS 2022 - [i12]Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu:
Reverse Engineering of Imperceptible Adversarial Image Perturbations. CoRR abs/2203.14145 (2022) - [i11]Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang:
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. CoRR abs/2207.12577 (2022) - [i10]Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
SparCL: Sparse Continual Learning on the Edge. CoRR abs/2209.09476 (2022) - [i9]Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang:
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. CoRR abs/2211.12005 (2022) - [i8]Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang:
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. CoRR abs/2212.05122 (2022) - 2021
- [c5]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 - [c4]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:
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. NeurIPS 2021: 20838-20850 - [i7]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) - [i6]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:
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. CoRR abs/2110.14032 (2021) - [i5]Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang:
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. CoRR abs/2111.11581 (2021) - 2020
- [c3]Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao:
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. DAC 2020: 1-6 - [c2]Yifan Gong, Zheng Zhan, Zhengang Li, Wei Niu, Xiaolong Ma, Wenhao Wang, Bin Ren, Caiwen Ding, Xue Lin, Xiaolin Xu, Yanzhi Wang:
A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework. ACM Great Lakes Symposium on VLSI 2020: 119-124 - [i4]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) - [i3]Zhengang Li, Yifan Gong, Xiaolong Ma, Sijia Liu, Mengshu Sun, Zheng Zhan, Zhenglun Kong, Geng Yuan, Yanzhi Wang:
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency. CoRR abs/2001.08839 (2020) - [i2]Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, Dingwen Tao:
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. CoRR abs/2002.11474 (2020) - [i1]Zheng Zhan, Yifan Gong, Zhengang Li, Pu Zhao, Xiaolong Ma, Wei Niu, Xiaolin Xu, Bin Ren, Yanzhi Wang, Xue Lin:
A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. CoRR abs/2003.06513 (2020)
2010 – 2019
- 2019
- [c1]Yifan Gong, Baochun Li, Ben Liang, Zheng Zhan:
Chic: experience-driven scheduling in machine learning clusters. IWQoS 2019: 30:1-30:10
Coauthor Index
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