Yingyan (Celine) Lin

According to our database, Yingyan (Celine) Lin authored at least 105 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Omni-Recon: Towards General-Purpose Neural Radiance Fields for Versatile 3D Applications.

Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, Yingyan Lin

CoRR, 2024

Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI.

Zishen Wan, Che-Kai Liu, Hanchen Yang, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Tushar Krishna, Yingyan Lin, Arijit Raychowdhury

CoRR, 2024

2023

SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training.

Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang

IEEE Trans. Neural Networks Learn. Syst., October, 2023

NASA+: Neural Architecture Search and Acceleration for Multiplication-Reduced Hybrid Networks.

Huihong Shi, Haoran You, Zhongfeng Wang, Yingyan Lin

IEEE Trans. Circuits Syst. I Regul. Pap., 2023

NetDistiller: Empowering Tiny Deep Learning via In Situ Distillation.

Shunyao Zhang, Yonggan Fu, Shang Wu, Jyotikrishna Dass, Haoran You, Yingyan Lin

IEEE Micro, 2023

EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design.

Haoran You, Yang Zhao, Cheng Wan, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Celine Lin

IEEE Micro, 2023

MixRT: Mixed Neural Representations For Real-Time NeRF Rendering.

Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin

CoRR, 2023

3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits.

Yujie Zhao, Yang Zhao, Cheng Wan, Yingyan Lin

CoRR, 2023

Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning.

Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Yonggan Fu, Yingyan Lin

CoRR, 2023

A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware.

Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan Lin, Jason Cong, Yizhou Sun

CoRR, 2023

Memory-Based Computing for Energy-Efficient AI: Grand Challenges.

Foroozan Karimzadeh, Mohsen Imani, Bahar Asgari, Ningyuan Cao, Yingyan Lin, Yan Fang

Proceedings of the 31st IFIP/IEEE International Conference on Very Large Scale Integration, 2023

ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer.

Haoran You, Huihong Shi, Yipin Guo, Yingyan Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction.

Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Katie Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan Celine Lin

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design.

Yonggan Fu, Zhifan Ye, Jiayi Yuan, Shunyao Zhang, Sixu Li, Haoran You, Yingyan Lin

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning.

Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine Lin

Proceedings of the International Conference on Machine Learning, 2023

NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations.

Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Celine Lin

Proceedings of the International Conference on Machine Learning, 2023

GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models.

Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Celine Lin

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

ERSAM: Neural Architecture Search for Energy-Efficient and Real-Time Social Ambiance Measurement.

Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Celine Lin, Ashutosh Sabharwal

Proceedings of the IEEE International Conference on Acoustics, 2023

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design.

Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention.

Jyotikrishna Dass, Shang Wu, Huihong Shi, Chaojian Li, Zhifan Ye, Zhongfeng Wang, Yingyan Lin

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing.

Yang Katie Zhao, Shang Wu, Jingqun Zhang, Sixu Li, Chaojian Li, Yingyan Celine Lin

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants.

Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Celine Lin

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning.

Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Celine Lin

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Hint-Aug: Drawing Hints from Foundation Vision Transformers towards Boosted Few-shot Parameter-Efficient Tuning.

Zhongzhi Yu, Shang Wu, Yonggan Fu, Shunyao Zhang, Yingyan Celine Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference.

Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Celine Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence.

Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Celine Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference.

Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin

ACM Trans. Design Autom. Electr. Syst., 2022

Max-Affine Spline Insights Into Deep Network Pruning.

Haoran You, Randall Balestriero, Zhihan Lu, Yutong Kou, Huihong Shi, Shunyao Zhang, Shang Wu, Yingyan Lin, Richard G. Baraniuk

Trans. Mach. Learn. Res., 2022

RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms.

Yongan Zhang, Anton Banta, Yonggan Fu, Mathews M. John, Allison Post, Mehdi Razavi, Joseph R. Cavallaro, Behnaam Aazhang, Yingyan Lin

ACM J. Emerg. Technol. Comput. Syst., 2022

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference.

Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Lin

CoRR, 2022

LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference.

Zhongzhi Yu, Yonggan Fu, Shang Wu, Mengquan Li, Haoran You, Yingyan Lin

CoRR, 2022

e-G2C: A 0.14-to-8.31 µJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM.

Yang Zhao, Yongan Zhang, Yonggan Fu, Xu Ouyang, Cheng Wan, Shang Wu, Anton Banta, Mathews M. John, Allison Post, Mehdi Razavi, Joseph R. Cavallaro, Behnaam Aazhang, Yingyan Lin

Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

i-FlatCam: A 253 FPS, 91.49 µJ/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR.

Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin

Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing.

Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Jeff Lai, Celine Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling.

Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin

Proceedings of Machine Learning and Systems 2022, 2022

EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design.

Haoran You, Cheng Wan, Yang Zhao, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Lin

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks.

Haoran You, Baopu Li, Huihong Shi, Yonggan Fu, Yingyan Lin

Proceedings of the International Conference on Machine Learning, 2022

DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks.

Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin

Proceedings of the International Conference on Machine Learning, 2022

PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication.

Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?

Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks.

Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering.

Chaojian Li, Sixu Li, Yang Zhao, Wenbo Zhu, Yingyan Lin

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design.

Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

A Framework for Neural Network Inference on FPGA-Centric SmartNICs.

Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks.

Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt

Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning.

Haoran You, Baopu Li, Zhanyi Sun, Xu Ouyang, Yingyan Lin

Proceedings of the Computer Vision - ECCV 2022, 2022

INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors.

Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Contrastive quant: quantization makes stronger contrastive learning.

Yonggan Fu, Qixuan Yu, Meng Li, Xu Ouyang, Vikas Chandra, Yingyan Lin

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation.

Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets.

Haoran You, Zhihan Lu, Zijian Zhou, Yonggan Fu, Yingyan Lin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles.

Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Hui Liu, Zhangyang Wang, Yingyan Lin

IEEE Trans. Mob. Comput., 2021

ASTRO: A System for Off-grid Networked Drone Sensing Missions.

Riccardo Petrolo, Zhambyl Shaikhanov, Yingyan Lin, Edward W. Knightly

ACM Trans. Internet Things, 2021

Practical Attacks on Deep Neural Networks by Memory Trojaning.

Xing Hu, Yang Zhao, Lei Deng, Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, Yuan Xie

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning - Part 2.

Yiran Chen, Qinru Qiu, Yingyan Lin

ACM J. Emerg. Technol. Comput. Syst., 2021

Introduction of Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 1.

Yiran Chen, Qinru Qiu, Yingyan Lin

ACM J. Emerg. Technol. Comput. Syst., 2021

FBNetV5: Neural Architecture Search for Multiple Tasks in One Run.

Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda

CoRR, 2021

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark.

Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Yingyan Lin

CoRR, 2021

GEBT: Drawing Early-Bird Tickets in Graph Convolutional Network Training.

Haoran You, Zhihan Lu, Zijian Zhou, Yingyan Lin

CoRR, 2021

Max-Affine Spline Insights Into Deep Network Pruning.

Randall Balestriero, Haoran You, Zhihan Lu, Yutong Kou, Yingyan Lin, Richard G. Baraniuk

CoRR, 2021

SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training.

Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang

CoRR, 2021

Locality Sensitive Teaching.

Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks.

Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David D. Cox, Yingyan Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization.

Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency.

Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency.

Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021

Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators.

Yonggan Fu, Yongan Zhang, Yang Zhang, David D. Cox, Yingyan Lin

Proceedings of the 38th International Conference on Machine Learning, 2021

Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference.

Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin

Proceedings of the 38th International Conference on Machine Learning, 2021

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark.

Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, Yingyan Lin

Proceedings of the 9th International Conference on Learning Representations, 2021

CPT: Efficient Deep Neural Network Training via Cyclic Precision.

Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin

Proceedings of the 9th International Conference on Learning Representations, 2021

SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam.

Yonggan Fu, Yang Zhang, Yue Wang, Zhihan Lu, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency.

Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed.

Mengquan Li, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, Yingyan Lin

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Toward reconfigurable kernel datapaths with learned optimizations.

Yiming Qiu, Hongyi Liu, Thomas E. Anderson, Yingyan Lin, Ang Chen

Proceedings of the HotOS '21: Workshop on Hot Topics in Operating Systems, 2021

A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning.

Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks.

Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference.

Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan M. Nguyen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin

IEEE J. Sel. Top. Signal Process., 2020

Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search.

Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yingyan Lin

CoRR, 2020

DNA: Differentiable Network-Accelerator Co-Search.

Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin

CoRR, 2020

AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles.

Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Atlas Wang, Yingyan Lin

CoRR, 2020

Bringing Powerful Machine-Learning Systems to Daily-Life Devices via Algorithm-Hardware Co-Design.

Yingyan Lin

Proceedings of the 2020 International Symposium on VLSI Design, Automation and Test, 2020

ShiftAddNet: A Hardware-Inspired Deep Network.

Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training.

Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A New MRAM-Based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision.

Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation.

Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

Timely: Pushing Data Movements And Interfaces In Pim Accelerators Towards Local And In Time Domain.

Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks.

Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks.

Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin

Proceedings of the 8th International Conference on Learning Representations, 2020

DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures.

Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs.

Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin

Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

HALO: Hardware-Aware Learning to Optimize.

Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference.

Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving.

Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang

CoRR, 2019

Drawing early-bird tickets: Towards more efficient training of deep networks.

Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk

CoRR, 2019

E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings.

Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Live Demonstration: Bringing Powerful Deep Learning into Daily-Life Devices (Mobiles and FPGAs) Via Deep k-Means.

Pengfei Xu, Yue Wang, Yang Zhao, Yingyan Lin

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018

A Rank Decomposed Statistical Error Compensation Technique for Robust Convolutional Neural Networks in the Near Threshold Voltage Regime.

Yingyan Lin, Sai Zhang, Naresh R. Shanbhag

J. Signal Process. Syst., 2018

ASTRO: Autonomous, Sensing, and Tetherless netwoRked drOnes.

Riccardo Petrolo, Yingyan Lin, Edward W. Knightly

Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, 2018

On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework.

Sicong Liu, Yingyan Lin, Zimu Zhou, Kaiming Nan, Hui Liu, Junzhao Du

Proceedings of the 16th Annual International Conference on Mobile Systems, 2018

Energy-efficient Convolutional Neural Networks via Statistical Error Compensated Near Threshold Computing.

Yingyan Lin, Joseph R. Cavallaro

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions.

Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Energy-efficient systems for information transfer and processing

Yingyan (Celine) Lin

PhD thesis, 2017

PredictiveNet: An energy-efficient convolutional neural network via zero prediction.

Yingyan Lin, Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2016

A Study of BER-Optimal ADC-Based Receiver for Serial Links.

Yingyan Lin, Min-Sun Keel, Adam C. Faust, Aolin Xu, Naresh R. Shanbhag, Elyse Rosenbaum, Andrew C. Singer

IEEE Trans. Circuits Syst. I Regul. Pap., 2016

Variation-Tolerant Architectures for Convolutional Neural Networks in the Near Threshold Voltage Regime.

Yingyan Lin, Sai Zhang, Naresh R. Shanbhag

Proceedings of the 2016 IEEE International Workshop on Signal Processing Systems, 2016

2012

A fully automated technique for constructing FSM abstractions of non-ideal latches in communication systems.

Aadithya V. Karthik, Yingyan Lin, Chenjie Gu, Aolin Xu, Jaijeet S. Roychowdhury, Naresh R. Shanbhag

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012