Yuan, Geng

33 publications

IJCAI 2025 FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts 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
NeurIPS 2025 Harmony in Divergence: Towards Fast, Accurate, and Memory-Efficient Zeroth-Order LLM Fine-Tuning Qitao Tan, Jun Liu, Zheng Zhan, Caiwen Ding, Yanzhi Wang, Xiaolong Ma, Jaewoo Lee, Jin Lu, Geng Yuan
ICLR 2025 Mutual Effort for Efficiency: A Similarity-Based Token Pruning for Vision Transformers in Self-Supervised Learning Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan
AAAI 2025 Toward Adaptive Large Language Models Structured Pruning via Hybrid-Grained Weight Importance Assessment Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang
ICML 2024 Advancing Dynamic Sparse Training by Exploring Optimization Opportunities Jie Ji, Gen Li, Lu Yin, Minghai Qin, Geng Yuan, Linke Guo, Shiwei Liu, Xiaolong Ma
NeurIPS 2024 Fast and Memory-Efficient Video Diffusion Using Streamlined Inference Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang
CPAL 2024 HRBP: Hardware-Friendly Regrouping Towards Block-Based Pruning for Sparse CNN Training Haoyu Ma, Chengming Zhang, Lizhi Xiang, Xiaolong Ma, Geng Yuan, Wenkai Zhang, Shiwei Liu, Tianlong Chen, Dingwen Tao, Yanzhi Wang, Zhangyang Wang, Xiaohui Xie
ICLR 2024 Waxing-and-Waning: A Generic Similarity-Based Framework for Efficient Self-Supervised Learning Sheng Li, Chao Wu, Ao Li, Yanzhi Wang, Xulong Tang, Geng Yuan
IJCAI 2023 Data Level Lottery Ticket Hypothesis for Vision Transformers Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang
NeurIPS 2023 HotBEV: Hardware-Oriented Transformer-Based Multi-View 3D Detector for BEV Perception Peiyan Dong, Zhenglun Kong, Xin Meng, Pinrui Yu, Yifan Gong, Geng Yuan, Hao Tang, Yanzhi Wang
NeurIPS 2023 PackQViT: Faster Sub-8-Bit Vision Transformers via Full and Packed Quantization on the Mobile Peiyan Dong, Lei Lu, Chao Wu, Cheng Lyu, Geng Yuan, Hao Tang, Yanzhi Wang
AAAI 2023 Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang
ICLR 2023 Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang
ICLR 2023 SmartFRZ: An Efficient Training Framework Using Attention-Based Layer Freezing Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang
AAAI 2023 Towards Real-Time Segmentation on the Edge Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang
NeurIPS 2022 EfficientFormer: Vision Transformers at MobileNet Speed Yanyu Li, Geng Yuan, Yang Wen, Ju Hu, Georgios Evangelidis, Sergey Tulyakov, Yanzhi Wang, Jian Ren
NeurIPS 2022 Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training Geng Yuan, Yanyu Li, Sheng Li, Zhenglun Kong, Sergey Tulyakov, Xulong Tang, Yanzhi Wang, Jian Ren
IJCAI 2022 Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen
IJCAI 2022 Real-Time Portrait Stylization on the Edge Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang
ECCV 2022 SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang
NeurIPS 2022 SparCL: Sparse Continual Learning on the Edge Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer Dy
ECCV 2022 You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang
AAAI 2021 A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
IJCAI 2021 A Compression-Compilation Framework for On-Mobile Real-Time BERT Applications Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
ICCV 2021 Achieving On-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David Kaeli, Bin Ren, Xue Lin, Yanzhi Wang
ICML 2021 Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang
NeurIPS 2021 MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge 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
CVPR 2021 NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration 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
NeurIPS 2021 Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
CVPR 2021 Teachers Do More than Teach: Compressing Image-to-Image Models Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov
IJCAI 2021 Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang
AAAI 2021 YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
AAAI 2018 Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin