Lastest Update: 7th Aug. 2024 

[Full Publication List]

First-Authored Conference Paper

• Yifan Gong, Zheng Zhan, Yanyu Li, Yerlan Idelbayev, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren “Efficient Training with Denoised Neural Weights”, in European Conference on Computer Vision (ECCV), 2024.
  

• Chao Wu *, Yifan Gong *, Liangkai Liu *, Mengquan Li, Yushu Wu, Xuan Shen, Zhimin Li, Geng Yuan, Weisong Shi and Yanzhi Wang, “AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge”, in International Conference on Computer-Aided Design (ICCAD), 2024.
  

• 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”, in International Conference on Machine Learning (ICML), 2024.
  

• 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”, in Design Automation Conference (DAC), 2024.
  

• Yifan Gong *, Yushu Wu *, 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”, in International Conference on Computer-Aided Design (ICCAD), 2023.
  

• 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”, in Design Automation Conference (DAC), 2023.
  

• 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”, in International Conference on Computer-Aided Design (ICCAD), 2022.
  

• Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu, “Reverse Engineering of Imperceptible Adversarial Image Perturbations”, in International Conference on Learning Representations (ICLR), 2022.
  

• Yifan Gong *, Yushu Wu *, 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”, in European Conference on Computer Vision (ECCV), 2022.
  

• Yifan Gong *, Zheng Zhan *, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David Kaeli, Bin Ren, Xue Lin, Yanzhi Wang, “Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search”, in International Conference on Computer Vision (ICCV), 2021.
  

• 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”, in Great Lakes Symposium on VLSI (GLVLSI, invited), 2020.

• Yifan Gong, Baochun Li, Ben Liang, Zheng Zhan, “Chic: Experience-driven Scheduling in Machine Learning Clusters”, in International Symposium on Quality of Service (IWQoS), 2019.

Journal Paper

• 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”, in Foundations and Trends® in Privacy and Security (FnT), 2024.

• 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”, in ACM Transactions on Design Automation of Electronic Systems (TODAES), 2021.

• Tong Jian, Yifan Gong, Zheng Zhan, Runbin Shi, Nasim Soltani, Zifeng Wang, Jennifer Dy, Kaushik Chowdhury, Yanzhi Wang, Stratis Ioannidis, “Radio Frequency Fingerprinting on the Edge”, in IEEE Transactions on Mobile Computing (TMC), 2021.

Other Publications

• Zifeng Wang *, Zheng Zhan *, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer Dy, “DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning”, in International Conference on Machine Learning (ICML), 2023.

• Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang, “Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors”, in International Conference on Learning Representations (ICLR), 2023.

• 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”, in Conference on Neural Information Processing Systems (NeurIPS), 2023.

• Zifeng Wang *, Zheng Zhan *, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer Dy, “Sparcl: Sparse continual learning on the edge”, in Conference on Neural Information Processing Systems (NeurIPS), 2022.

• 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”, in International Symposium on Quality Electronic Design (ISQED), 2022.

• 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”, in Conference on Neural Information Processing Systems (NeurIPS), 2021.

• 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”, in Design Automation Conference (DAC), 2020.