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ORCIDYingyan (Celine) Lin
Yingyan Lin – Yingyan Celine Lin – Celine Lin
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- affiliation: Georgia Institute of Technology, Atlanta, GA, USA
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2020 – today
- 2025
[i79]Cheng Wan, Runkai Tao, Zheng Du, Yang Katie Zhao, Yingyan Celine Lin:
MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators. CoRR abs/2501.01951 (2025)- 2024
- [j17]Yongan Zhang
, Xiaofan Zhang, Pengfei Xu, Yang Zhao, Cong Hao, Deming Chen, Yingyan Lin:
AutoAI2C: An Automated Hardware Generator for DNN Acceleration on Both FPGA and ASIC. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 3143-3156 (2024) - [j16]Chaojian Li, Kyungmin Kim, Bichen Wu, Peizhao Zhang, Hang Zhang, Xiaoliang Dai, Peter Vajda, Yingyan (Celine) Lin:
An Investigation on Hardware-Aware Vision Transformer Scaling. ACM Trans. Embed. Comput. Syst. 23(3): 52:1-52:19 (2024) - [c83]Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin:
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. 3DV 2024: 1115-1124 - [c82]Yujie Zhao, Yang Katie Zhao, Cheng Wan, Yingyan Celine Lin:
3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits. DAC 2024: 178:1-178:6 - [c81]Zhongzhi Yu, Zheng Wang, Yuhan Li, Ruijie Gao, Xiaoya Zhou, Sreenidhi Reddy Bommu, Yang Katie Zhao, Yingyan (Celine) Lin:
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Unified Compression and Adaptive Layer Voting. DAC 2024: 327:1-327:6 - [c80]Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, Yingyan Lin:
Omni-Recon: Harnessing Image-Based Rendering for General-Purpose Neural Radiance Fields. ECCV (16) 2024: 153-174 - [c79]Haoran You, Yichao Fu, Zheng Wang, Amir Yazdanbakhsh, Yingyan Celine Lin:
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models. ICML 2024 - [c78]Zhongzhi Yu, Zheng Wang, Yonggan Fu, Huihong Shi, Khalid Shaikh, Yingyan Celine Lin:
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration. ICML 2024 - [c77]Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Ananda Samajdar, Yingyan Celine Lin, Tushar Krishna, Arijit Raychowdhury:
Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. ISPASS 2024: 268-279 - [c76]Sixu Li, Yang Zhao, Chaojian Li, Bowei Guo, Jingqun Zhang, Wenbo Zhu, Zhifan Ye, Cheng Wan, Yingyan Celine Lin:
Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering. MICRO 2024: 78-91 - [c75]Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian, Yongan Zhang, Xiangchi Yuan, Dachuan Shi, Roman Yakunin, Yingyan (Celine) Lin:
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment. NeurIPS 2024 - [c74]Lidong Guo, Xuefei Ning, Yonggan Fu, Tianchen Zhao, Zhuoliang Kang, Jincheng Yu, Yingyan (Celine) Lin, Yu Wang:
Rad-NeRF: Ray-decoupled Training of Neural Radiance Field. NeurIPS 2024 - [c73]Zhifan Ye, Chenxi Wan, Chaojian Li, Jihoon Hong, Sixu Li, Leshu Li, Yongan Zhang, Yingyan (Celine) Lin:
3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning. NeurIPS 2024 - [c72]Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan (Celine) Lin:
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization. NeurIPS 2024 - [i78]Zishen Wan, Che-Kai Liu, Hanchen Yang, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Tushar Krishna, Yingyan Lin, Arijit Raychowdhury:
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI. CoRR abs/2401.01040 (2024) - [i77]Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, Yingyan Lin:
Omni-Recon: Towards General-Purpose Neural Radiance Fields for Versatile 3D Applications. CoRR abs/2403.11131 (2024) - [i76]Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan Lin:
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization. CoRR abs/2406.05981 (2024) - [i75]Haoran You, Yichao Fu, Zheng Wang, Amir Yazdanbakhsh, Yingyan Lin:
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models. CoRR abs/2406.07368 (2024) - [i74]Zhongzhi Yu, Zheng Wang, Yuhan Li, Haoran You, Ruijie Gao, Xiaoya Zhou, Sreenidhi Reddy Bommu, Yang Katie Zhao, Yingyan Celine Lin:
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting. CoRR abs/2406.15758 (2024) - [i73]Zhongzhi Yu, Zheng Wang, Yonggan Fu, Huihong Shi, Khalid Shaikh, Yingyan Celine Lin:
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration. CoRR abs/2406.15765 (2024) - [i72]Yongan Zhang, Zhongzhi Yu, Yonggan Fu, Cheng Wan, Yingyan Celine Lin:
MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation. CoRR abs/2407.01910 (2024) - [i71]Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Sixu Li, Youbin Kim, Ananda Samajdar, Yingyan Celine Lin, Mohamed Ibrahim, Jan M. Rabaey, Tushar Krishna, Arijit Raychowdhury:
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture. CoRR abs/2409.13153 (2024) - [i70]Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian, Yongan Zhang, Xiangchi Yuan, Dachuan Shi, Roman Yakunin, Yingyan Celine Lin:
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment. CoRR abs/2411.10606 (2024) - [i69]Xin Dong, Yonggan Fu, Shizhe Diao, Wonmin Byeon, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Shih-Yang Liu, Matthijs Van Keirsbilck, Min-Hung Chen, Yoshi Suhara, Yingyan Lin, Jan Kautz, Pavlo Molchanov:
Hymba: A Hybrid-head Architecture for Small Language Models. CoRR abs/2411.13676 (2024) - [i68]Haoran You, Connelly Barnes, Yuqian Zhou, Yan Kang, Zhenbang Du, Wei Zhou, Lingzhi Zhang, Yotam Nitzan, Xiaoyang Liu, Zhe Lin, Eli Shechtman, Sohrab Amirghodsi, Yingyan Celine Lin:
Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers. CoRR abs/2412.16822 (2024) - 2023
- [j15]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:
EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design. IEEE Micro 43(4): 88-97 (2023) - [j14]Shunyao Zhang, Yonggan Fu, Shang Wu, Jyotikrishna Dass, Haoran You, Yingyan Lin:
NetDistiller: Empowering Tiny Deep Learning via In Situ Distillation. IEEE Micro 43(6): 84-92 (2023) - [j13]Huihong Shi, Haoran You, Zhongfeng Wang, Yingyan Lin:
NASA+: Neural Architecture Search and Acceleration for Multiplication-Reduced Hybrid Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 70(6): 2523-2536 (2023) - [j12]Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang:
SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7099-7113 (2023) - [c71]Zhongzhi Yu, Shang Wu, Yonggan Fu, Shunyao Zhang, Yingyan Celine Lin:
Hint-Aug: Drawing Hints from Foundation Vision Transformers towards Boosted Few-shot Parameter-Efficient Tuning. CVPR 2023: 11102-11112 - [c70]Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Celine Lin:
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference. CVPR 2023: 14431-14442 - [c69]Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Celine Lin:
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. CVPR 2023: 21036-21045 - [c68]Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Celine Lin:
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning. DAC 2023: 1-6 - [c67]Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Celine Lin:
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. DAC 2023: 1-6 - [c66]Yang Katie Zhao, Shang Wu, Jingqun Zhang, Sixu Li, Chaojian Li, Yingyan Celine Lin:
Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing. DAC 2023: 1-6 - [c65]Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin:
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. HPCA 2023: 273-286 - [c64]Jyotikrishna Dass, Shang Wu, Huihong Shi, Chaojian Li, Zhifan Ye, Zhongfeng Wang, Yingyan Lin:
ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention. HPCA 2023: 415-428 - [c63]Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Celine Lin, Ashutosh Sabharwal:
ERSAM: Neural Architecture Search for Energy-Efficient and Real-Time Social Ambiance Measurement. ICASSP 2023: 1-5 - [c62]Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Celine Lin:
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. ICCAD 2023: 1-9 - [c61]Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Celine Lin:
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations. ICML 2023: 10482-10493 - [c60]Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine Lin:
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. ICML 2023: 40475-40487 - [c59]Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Katie Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan Celine Lin:
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction. ISCA 2023: 6:1-6:13 - [c58]Yonggan Fu, Zhifan Ye, Jiayi Yuan, Shunyao Zhang, Sixu Li, Haoran You, Yingyan Lin:
Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design. ISCA 2023: 74:1-74:12 - [c57]Haoran You, Huihong Shi, Yipin Guo, Yingyan Lin:
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer. NeurIPS 2023 - [c56]Foroozan Karimzadeh, Mohsen Imani, Bahar Asgari, Ningyuan Cao, Yingyan Lin, Yan Fang:
Memory-Based Computing for Energy-Efficient AI: Grand Challenges. VLSI-SoC 2023: 1-8 - [i67]Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Lin, Ashutosh Sabharwal:
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement. CoRR abs/2303.10727 (2023) - [i66]Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Lin:
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning. CoRR abs/2304.11834 (2023) - [i65]Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Lin:
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. CoRR abs/2304.11835 (2023) - [i64]Yonggan Fu, Zhifan Ye, Jiayi Yuan, Shunyao Zhang, Sixu Li, Haoran You, Yingyan Lin:
Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design. CoRR abs/2304.11842 (2023) - [i63]Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan Lin:
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction. CoRR abs/2304.12467 (2023) - [i62]Zhongzhi Yu, Shang Wu, Yonggan Fu, Shunyao Zhang, Yingyan Lin:
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning. CoRR abs/2304.12520 (2023) - [i61]Yang Zhao, Shang Wu, Jingqun Zhang, Sixu Li, Chaojian Li, Yingyan Lin:
Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing. CoRR abs/2305.05766 (2023) - [i60]Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Lin:
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations. CoRR abs/2306.06359 (2023) - [i59]Haoran You, Huihong Shi, Yipin Guo, Yingyan Lin:
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer. CoRR abs/2306.06446 (2023) - [i58]Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Lin:
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. CoRR abs/2306.13586 (2023) - [i57]Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan Lin, Jason Cong, Yizhou Sun:
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware. CoRR abs/2306.14052 (2023) - [i56]Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Yonggan Fu, Yingyan Lin:
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. CoRR abs/2306.15686 (2023) - [i55]Yujie Zhao, Yang Zhao, Cheng Wan, Yingyan Lin:
3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits. CoRR abs/2307.08060 (2023) - [i54]Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Lin:
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. CoRR abs/2309.10730 (2023) - [i53]Shunyao Zhang, Yonggan Fu, Shang Wu, Jyotikrishna Dass, Haoran You, Yingyan Lin:
NetDistiller: Empowering Tiny Deep Learning via In-Situ Distillation. CoRR abs/2310.19820 (2023) - [i52]Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin:
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. CoRR abs/2312.11841 (2023) - 2022
- [j11]Yongan Zhang, Anton Banta, Yonggan Fu, Mathews M. John, Allison Post, Mehdi Razavi, Joseph R. Cavallaro, Behnaam Aazhang, Yingyan Lin:
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms. ACM J. Emerg. Technol. Comput. Syst. 18(2): 29:1-29:25 (2022) - [j10]Haoran You, Randall Balestriero, Zhihan Lu, Yutong Kou, Huihong Shi, Shunyao Zhang, Shang Wu, Yingyan Lin, Richard G. Baraniuk:
Max-Affine Spline Insights Into Deep Network Pruning. Trans. Mach. Learn. Res. 2022 (2022) - [j9]Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin:
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. ACM Trans. Design Autom. Electr. Syst. 27(5): 50:1-50:20 (2022) - [c55]Haoran You, Zhihan Lu, Zijian Zhou, Yonggan Fu, Yingyan Lin:
Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets. AAAI 2022: 8910-8918 - [c54]Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin:
MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation. AAAI 2022: 8962-8970 - [c53]Yonggan Fu, Qixuan Yu, Meng Li, Xu Ouyang, Vikas Chandra, Yingyan Lin:
Contrastive quant: quantization makes stronger contrastive learning. DAC 2022: 205-210 - [c52]Haoran You, Baopu Li, Zhanyi Sun, Xu Ouyang, Yingyan Lin:
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning. ECCV (11) 2022: 674-690 - [c51]Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda:
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. ECCV Workshops (3) 2022: 686-694 - [c50]Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt:
FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks. FCCM 2022: 1-2 - [c49]Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt:
A Framework for Neural Network Inference on FPGA-Centric SmartNICs. FPL 2022: 1-8 - [c48]Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin:
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. HPCA 2022: 460-474 - [c47]Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin:
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks. ICCAD 2022: 58:1-58:9 - [c46]Chaojian Li, Sixu Li, Yang Zhao, Wenbo Zhu, Yingyan Lin:
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering. ICCAD 2022: 132:1-132:9 - [c45]Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin:
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? ICLR 2022 - [c44]Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin:
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. ICLR 2022 - [c43]Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin:
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. ICML 2022: 6849-6862 - [c42]Haoran You, Baopu Li, Huihong Shi, Yonggan Fu, Yingyan Lin:
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks. ICML 2022: 25566-25580 - [c41]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:
EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design. ISCA 2022: 610-622 - [c40]Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin:
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling. MLSys 2022 - [c39]Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Jeff Lai, Celine Lin:
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. NeurIPS 2022 - [c38]Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin:
i-FlatCam: A 253 FPS, 91.49 µJ/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR. VLSI Technology and Circuits 2022: 108-109 - [c37]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:
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. VLSI Technology and Circuits 2022: 252-253 - [i51]Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li:
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. CoRR abs/2203.03606 (2022) - [i50]Zhongzhi Yu, Yonggan Fu, Shang Wu, Mengquan Li, Haoran You, Yingyan Lin:
LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference. CoRR abs/2203.07713 (2022) - [i49]Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin:
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? CoRR abs/2203.08392 (2022) - [i48]Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin:
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. CoRR abs/2203.10428 (2022) - [i47]Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin:
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling. CoRR abs/2203.10983 (2022) - [i46]Haoran You, Baopu Li, Huihong Shi, Yonggan Fu, Yingyan Lin:
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks. CoRR abs/2205.08119 (2022) - [i45]Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin:
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. CoRR abs/2206.00843 (2022) - [i44]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:
EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm & Accelerator Co-Design. CoRR abs/2206.00877 (2022) - [i43]Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin:
i-FlatCam: A 253 FPS, 91.49 μJ/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR. CoRR abs/2206.08141 (2022) - [i42]Haoran You, Baopu Li, Zhanyi Sun, Xu Ouyang, Yingyan Lin:
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning. CoRR abs/2207.03677 (2022) - [i41]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:
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. CoRR abs/2209.04407 (2022) - [i40]Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin:
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. CoRR abs/2210.09573 (2022) - [i39]Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin:
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks. CoRR abs/2210.13361 (2022) - [i38]Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin:
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. CoRR abs/2211.01522 (2022) - [i37]Jyotikrishna Dass, Shang Wu, Huihong Shi, Chaojian Li, Zhifan Ye, Zhongfeng Wang, Yingyan Lin:
ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention. CoRR abs/2211.05109 (2022) - [i36]Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Lin:
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference. CoRR abs/2211.10526 (2022) - [i35]Chaojian Li, Sixu Li, Yang Zhao, Wenbo Zhu, Yingyan Lin:
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering. CoRR abs/2212.01120 (2022) - [i34]Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda:
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. CoRR abs/2212.01959 (2022) - 2021
- [j8]Yiran Chen, Qinru Qiu, Yingyan Lin:
Introduction of Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 1. ACM J. Emerg. Technol. Comput. Syst. 17(2): 18:1-18:2 (2021) - [j7]Yiran Chen, Qinru Qiu, Yingyan Lin:
Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning - Part 2. ACM J. Emerg. Technol. Comput. Syst. 17(4): 45:1-45:2 (2021) - [j6]Xing Hu, Yang Zhao, Lei Deng, Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, Yuan Xie:
Practical Attacks on Deep Neural Networks by Memory Trojaning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1230-1243 (2021) - [j5]Riccardo Petrolo, Zhambyl Shaikhanov, Yingyan Lin, Edward W. Knightly:
ASTRO: A System for Off-grid Networked Drone Sensing Missions. ACM Trans. Internet Things 2(4): 24:1-24:22 (2021) - [j4]Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Hui Liu, Zhangyang Wang, Yingyan Lin:
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles. IEEE Trans. Mob. Comput. 20(12): 3282-3297 (2021) - [c36]Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin:
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. DAC 2021: 13-18 - [c35]Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin:
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. DAC 2021: 757-762 - [c34]Yiming Qiu, Hongyi Liu, Thomas E. Anderson, Yingyan Lin, Ang Chen:
Toward reconfigurable kernel datapaths with learned optimizations. HotOS 2021: 175-182 - [c33]Mengquan Li, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, Yingyan Lin:
O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. ICCAD 2021: 1-9 - [c32]Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin:
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency. ICCAD 2021: 1-9 - [c31]Yonggan Fu, Yang Zhang, Yue Wang, Zhihan Lu, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin:
SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam. ICCV 2021: 5148-5157 - [c30]Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin:
CPT: Efficient Deep Neural Network Training via Cyclic Precision. ICLR 2021 - [c29]Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, Yingyan Lin:
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. ICLR 2021 - [c28]Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin:
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference. ICML 2021: 3492-3504 - [c27]Yonggan Fu, Yongan Zhang, Yang Zhang, David D. Cox, Yingyan Lin:
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators. ICML 2021: 3505-3517 - [c26]Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin:
DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. ISLPED 2021: 1-6 - [c25]Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin:
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency. MICRO 2021: 225-237 - [c24]Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li:
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. MICRO 2021: 1051-1063 - [c23]Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David D. Cox, Yingyan Lin:
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks. NeurIPS 2021: 13059-13072 - [c22]Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava:
Locality Sensitive Teaching. NeurIPS 2021: 18049-18062 - [i33]Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang:
SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training. CoRR abs/2101.01163 (2021) - [i32]Randall Balestriero, Haoran You, Zhihan Lu, Yutong Kou, Yingyan Lin, Richard G. Baraniuk:
Max-Affine Spline Insights Into Deep Network Pruning. CoRR abs/2101.02338 (2021) - [i31]Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin:
CPT: Efficient Deep Neural Network Training via Cyclic Precision. CoRR abs/2101.09868 (2021) - [i30]Haoran You, Zhihan Lu, Zijian Zhou, Yingyan Lin:
GEBT: Drawing Early-Bird Tickets in Graph Convolutional Network Training. CoRR abs/2103.00794 (2021) - [i29]Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Yingyan Lin:
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. CoRR abs/2103.10584 (2021) - [i28]Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin:
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. CoRR abs/2104.10853 (2021) - [i27]Yonggan Fu, Yongan Zhang, Yang Zhang, David D. Cox, Yingyan Lin:
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators. CoRR abs/2106.06575 (2021) - [i26]Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin:
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. CoRR abs/2106.06577 (2021) - [i25]Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin:
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. CoRR abs/2107.07706 (2021) - [i24]Mengquan Li, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, Yingyan Lin:
O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. CoRR abs/2108.07538 (2021) - [i23]Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin:
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency. CoRR abs/2109.05223 (2021) - [i22]Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin:
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency. CoRR abs/2109.08983 (2021) - [i21]Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David D. Cox, Yingyan Lin:
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks. CoRR abs/2110.14068 (2021) - [i20]Yongan Zhang, Anton Banta, Yonggan Fu, Mathews M. John, Allison Post, Mehdi Razavi, Joseph R. Cavallaro, Behnaam Aazhang, Yingyan Lin:
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms. CoRR abs/2111.02569 (2021) - [i19]Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda:
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run. CoRR abs/2111.10007 (2021) - [i18]Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin:
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation. CoRR abs/2112.11542 (2021) - [i17]Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin:
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. CoRR abs/2112.11594 (2021) - 2020
- [j3]Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan M. Nguyen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin:
Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference. IEEE J. Sel. Top. Signal Process. 14(4): 623-633 (2020) - [c21]Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin:
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. AAAI 2020: 5700-5708 - [c20]Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin:
HALO: Hardware-Aware Learning to Optimize. ECCV (9) 2020: 500-518 - [c19]Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin:
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. FPGA 2020: 40-50 - [c18]Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin:
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. ICASSP 2020: 1593-1597 - [c17]Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin:
Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. ICLR 2020 - [c16]Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang:
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. ICML 2020: 3292-3303 - [c15]Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin:
Timely: Pushing Data Movements And Interfaces In Pim Accelerators Towards Local And In Time Domain. ISCA 2020: 832-845 - [c14]Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin:
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. ISCA 2020: 954-967 - [c13]Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin:
A New MRAM-Based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision. ISCAS 2020: 1-5 - [c12]Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin:
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. NeurIPS 2020 - [c11]Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin:
ShiftAddNet: A Hardware-Inspired Deep Network. NeurIPS 2020 - [c10]Yingyan Lin:
Bringing Powerful Machine-Learning Systems to Daily-Life Devices via Algorithm-Hardware Co-Design. VLSI-DAT 2020: 1 - [i16]Jianghao Shen, Yonggan Fu, Yue Wang, Pengfei Xu, Zhangyang Wang, Yingyan Lin:
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. CoRR abs/2001.00705 (2020) - [i15]Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin:
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. CoRR abs/2001.03535 (2020) - [i14]Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin:
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. CoRR abs/2002.11270 (2020) - [i13]Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin:
A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision. CoRR abs/2003.01551 (2020) - [i12]Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin:
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain. CoRR abs/2005.01206 (2020) - [i11]Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin:
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. CoRR abs/2005.03403 (2020) - [i10]Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Atlas Wang, Yingyan Lin:
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles. CoRR abs/2006.04432 (2020) - [i9]Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang:
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. CoRR abs/2006.08198 (2020) - [i8]Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin:
ShiftAddNet: A Hardware-Inspired Deep Network. CoRR abs/2010.12785 (2020) - [i7]Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin:
DNA: Differentiable Network-Accelerator Co-Search. CoRR abs/2010.14778 (2020) - [i6]Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yingyan Lin:
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search. CoRR abs/2012.13091 (2020) - [i5]Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin:
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. CoRR abs/2012.13113 (2020)
2010 – 2019
- 2019
- [c9]Pengfei Xu, Yue Wang, Yang Zhao, Yingyan Lin:
Live Demonstration: Bringing Powerful Deep Learning into Daily-Life Devices (Mobiles and FPGAs) Via Deep k-Means. ISCAS 2019: 1 - [c8]Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang:
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings. NeurIPS 2019: 5139-5151 - [i4]Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan M. Nguyen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin:
Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference. CoRR abs/1907.04523 (2019) - [i3]Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk:
Drawing early-bird tickets: Towards more efficient training of deep networks. CoRR abs/1909.11957 (2019) - [i2]Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang:
E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving. CoRR abs/1910.13349 (2019) - 2018
- [j2]Yingyan Lin, Sai Zhang, Naresh R. Shanbhag:
A Rank Decomposed Statistical Error Compensation Technique for Robust Convolutional Neural Networks in the Near Threshold Voltage Regime. J. Signal Process. Syst. 90(10): 1439-1451 (2018) - [c7]Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin:
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. ICML 2018: 5359-5368 - [c6]Yingyan Lin, Joseph R. Cavallaro:
Energy-efficient Convolutional Neural Networks via Statistical Error Compensated Near Threshold Computing. ISCAS 2018: 1-5 - [c5]Riccardo Petrolo, Yingyan Lin, Edward W. Knightly:
ASTRO: Autonomous, Sensing, and Tetherless netwoRked drOnes. DroNet@MobiSys 2018: 1-6 - [c4]Sicong Liu, Yingyan Lin, Zimu Zhou, Kaiming Nan, Hui Liu, Junzhao Du:
On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework. MobiSys 2018: 389-400 - [i1]Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin:
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. CoRR abs/1806.09228 (2018) - 2017
- [b1]Yingyan (Celine) Lin:
Energy-efficient systems for information transfer and processing. University of Illinois Urbana-Champaign, USA, 2017 - [c3]Yingyan Lin, Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag:
PredictiveNet: An energy-efficient convolutional neural network via zero prediction. ISCAS 2017: 1-4 - 2016
- [j1]Yingyan Lin, Min-Sun Keel, Adam C. Faust, Aolin Xu, Naresh R. Shanbhag, Elyse Rosenbaum, Andrew C. Singer:
A Study of BER-Optimal ADC-Based Receiver for Serial Links. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(5): 693-704 (2016) - [c2]Yingyan Lin, Sai Zhang, Naresh R. Shanbhag:
Variation-Tolerant Architectures for Convolutional Neural Networks in the Near Threshold Voltage Regime. SiPS 2016: 17-22 - 2012
- [c1]Aadithya V. Karthik, Yingyan Lin, Chenjie Gu, Aolin Xu, Jaijeet S. Roychowdhury, Naresh R. Shanbhag:
A fully automated technique for constructing FSM abstractions of non-ideal latches in communication systems. ICASSP 2012: 5289-5292
Coauthor Index
[c80] [c78] [c77] [c75] [c74] [i78] [i77] [i73] [i72] [i71] [i70] [i69] [j15] [j14] [j12] [c71] [c69] [c68] [c67] [c62] [c61] [c60] [c58] [i66] [i65] [i64] [i62] [i60] [i58] [i56] [i54] [i53] [j11] [j9] [c55] [c54] [c53] [c45] [c43] [c42] [c41] [c39] [c38] [c37] [i50] [i49] [i46] [i45] [i44] [i43] [i41] [i38] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [i33] [i31] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i18] [c21] [c17] [c16] [c14] [c12] [i16] [i11] [i9] [i7] [i6] [i5] [i3]
[j16] [c83] [c80] [c77] [c76] [c73] [i78] [i77] [i71] [j15] [j12] [c66] [c65] [c64] [c63] [c62] [c59] [i67] [i63] [i61] [i54] [i52] [j9] [c54] [c51] [c46] [c41] [c38] [i44] [i43] [i40] [i37] [i35] [i34] [c36] [c35] [c29] [c26] [c25] [c22] [i33] [i29] [i28] [i26] [i25] [i23] [i19] [i18] [c20] [c19] [c18] [c17] [c14] [c13] [c12] [c11] [i15] [i14] [i13] [i11] [i8] [i7] [i5] [i3]
[c79] [c77] [c72] [i78] [i76] [i75] [i74] [i71] [i68] [j15] [j14] [j13] [j12] [c70] [c67] [c65] [c59] [c58] [c57] [i64] [i63] [i59] [i58] [i53] [j10] [c55] [c52] [c48] [c47] [c42] [c41] [c38] [i51] [i50] [i46] [i44] [i43] [i42] [i40] [i39] [i36] [c32] [c29] [c26] [c24] [i33] [i32] [i30] [i29] [i22] [i17] [c20] [c17] [c14] [c12] [c11] [i11] [i8] [i7] [i5] [i3]
Yang Zhao 0013
aka: Yang Katie Zhao
aka: Yang Katie Zhao
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