Geng Yuan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
55
Venues
23
Active years
2017–2026
Best venue rank
A*
Where they publish
- A*AAAI6 papers
- A*IJCAI6 papers
- AICCAD5 papers
- ADATE5 papers
- A*ICLR4 papers
- A*DAC4 papers
- BASPDAC3 papers
- AICS2 papers
- A*ICML2 papers
- A*MICRO2 papers
- A*ECCV2 papers
- A*CVPR2 papers
- ARTAS2 papers
- AAIED1 paper
- AWACV1 paper
- MulticonferenceICASSP1 paper
- CISNCC1 paper
- BFPL1 paper
- CISCAS1 paper
- A*WWW1 paper
- A*ICCV1 paper
- A*ISCA1 paper
- AISLPED1 paper
Papers
55 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AIED | A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation. | Ying Zhang, Ningxi Cheng, Yizhu Gao, Hongmei Li, Lehong Shi, Nicholas Young, Geng Yuan, Xiaoming Zhai |
| 2026 | WACV | AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness. | Pinrui Yu, Yiming Xie, Longtian Ye, Geng Yuan, Ningfang Mi, Xue Lin |
| 2025 | AAAI | 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 |
| 2025 | ASPDAC | A Computation and Energy Efficient Hardware Architecture for SSL Acceleration. | Huidong Ji, Sheng Li, Yue Cao, Chen Ding, Jiawei Xu, Qitao Tan, Jun Liu, Ao Li, Xulong Tang, Lirong Zheng, Geng Yuan, Zhuo Zou |
| 2025 | ICASSP | RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. | Jun Liu, Zhenglun Kong, Peiyan Dong, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang |
| 2025 | ICCAD | Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training. | 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 | ICLR | 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 |
| 2025 | IJCAI | 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 |
| 2025 | ICS | Graph Convolutional Network Acceleration Using Adiabatic Superconductor Josephson Devices. | Zhengang Li, Hongwu Peng, Xuan Shen, Masoud Zabihi, Xi Xie, Geng Yuan, Yanzhi Wang, Olivia Chen, Caiwen Ding |
| 2024 | DAC | Late Breaking Result: AQFP-aware Binary Neural Network Architecture Search. | Zhengang Li, Xuan Shen, Geng Yuan, Masoud Zabihi, Tomoharu Yamauchi, Yanzhi Wang, Olivia Chen |
| 2024 | DATE | DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices. | Yushu Wu, Chao Wu, Geng Yuan, Yanyu Li, Weichao Guo, Jing Rao, Xipeng Shen, Bin Ren, Yanzhi Wang |
| 2024 | DATE | SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum- Flux - Parametron Superconducting Circuits. | Yanyue Xie, Peiyan Dong, Geng Yuan, Zhengang Li, Masoud Zabihi, Chao Wu, Sung-En Chang, Xufeng Zhang, Xue Lin, Caiwen Ding, Nobuyuki Yoshikawa, Olivia Chen, Yanzhi Wang |
| 2024 | ICCAD | AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge. | Chao Wu, Yifan Gong, Liangkai Liu, Mengquan Li, Yushu Wu, Xuan Shen, Zhimin Li, Geng Yuan, Weisong Shi, Yanzhi Wang |
| 2024 | ICLR | 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 |
| 2024 | ICML | Advancing Dynamic Sparse Training by Exploring Optimization Opportunities. | Jie Ji, Gen Li, Lu Yin, Minghai Qin, Geng Yuan, Linke Guo, Shiwei Liu, Xiaolong Ma |
| 2024 | ISNCC | Adaptive Homogeneity-Based Client Selection Policy for Federated Learning. | Yiming Xie, Pinrui Yu, Geng Yuan, Xue Lin, Ningfang Mi |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | DATE | ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. | Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang |
| 2023 | ICCAD | MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference. | Yushu Wu, Yifan Gong, Zheng Zhan, Geng Yuan, Yanyu Li, Qi Wang, Chao Wu, Yanzhi Wang |
| 2023 | ICLR | Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. | Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang |
| 2023 | ICLR | SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. | Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang |
| 2023 | IJCAI | 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 |
| 2023 | MICRO | SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. | Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen |
| 2022 | DAC | Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. | Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang |
| 2022 | DAC | FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. | Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang |
| 2022 | DATE | Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems. | Siyue Wang, Geng Yuan, Xiaolong Ma, Yanyu Li, Xue Lin, Bhavya Kailkhura |
| 2022 | ECCV | 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 |
| 2022 | ECCV | 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 |
| 2022 | FPL | Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. | Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang |
| 2022 | IJCAI | Real-Time Portrait Stylization on the Edge. | Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang |
| 2022 | IJCAI | 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 |
| 2022 | ISCAS | Reliability Improvement in RRAM-based DNN for Edge Computing. | Md. Oli-Uz-Zaman, Saleh Ahmad Khan, Geng Yuan, Yanzhi Wang, Zhiheng Liao, Jingyan Fu, Caiwen Ding, Jinhui Wang |
| 2022 | WWW | Optimizing Data Layout for Training Deep Neural Networks. | Bingyao Li, Qi Xue, Geng Yuan, Sheng Li, Xiaolong Ma, Yanzhi Wang, Xulong Tang |
| 2021 | AAAI | 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 |
| 2021 | AAAI | 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 |
| 2021 | ASPDAC | Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. | Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang |
| 2021 | CVPR | 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 |
| 2021 | CVPR | 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 |
| 2021 | DAC | Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. | Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin |
| 2021 | DATE | TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators. | Geng Yuan, Payman Behnam, Yuxuan Cai, Ali Shafiee, Jingyan Fu, Zhiheng Liao, Zhengang Li, Xiaolong Ma, Jieren Deng, Jinhui Wang, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding |
| 2021 | ICCAD | ScaleDNN: Data Movement Aware DNN Training on Multi-GPU. | Weizheng Xu, Ashutosh Pattnaik, Geng Yuan, Yanzhi Wang, Youtao Zhang, Xulong Tang |
| 2021 | ICCV | 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 R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang |
| 2021 | ICML | 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 |
| 2021 | IJCAI | 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 |
| 2021 | IJCAI | 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 |
| 2021 | ISCA | FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. | Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding |
| 2021 | ICS | ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. | Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao |
| 2021 | RTAS | Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. | Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang |
| 2021 | RTAS | Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. | Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin |
| 2020 | ASPDAC | Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. | Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang |
| 2020 | ICCAD | New Passive and Active Attacks on Deep Neural Networks in Medical Applications. | Cheng Gongye, Hongjia Li, Xiang Zhang, Majid Sabbagh, Geng Yuan, Xue Lin, Thomas Wahl, Yunsi Fei |
| 2019 | ISLPED | An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. | Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang |
| 2018 | AAAI | 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 |
| 2017 | MICRO | CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. | Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan |