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2020 – today
- 2024
[c38]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- [c37]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 - [i42]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) - [i41]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) - [i40]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) - [i39]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) - [i38]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) - 2023
- [j5]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) - [j4]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) - [j3]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) - [c36]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 - [c35]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 - [c34]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 - [c33]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 - [c32]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 - [c31]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 - [c30]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 - [c29]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 - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - 2022
- [j2]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) - [j1]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) - [c28]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 - [c27]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 - [c26]Yonggan Fu, Qixuan Yu, Meng Li, Xu Ouyang, Vikas Chandra, Yingyan Lin:
Contrastive quant: quantization makes stronger contrastive learning. DAC 2022: 205-210 - [c25]Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin:
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? ICLR 2022 - [c24]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 - [c23]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 - [c22]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 - [c21]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 - [c20]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 - [c19]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 - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - 2021
- [c18]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 - [c17]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 - [c16]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 - [c15]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 - [c14]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 - [c13]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 - [c12]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 - [c11]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 - [c10]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 - [c9]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 - [c8]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 - [c7]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 - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]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) - 2020
- [c6]Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin:
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. AAAI 2020: 5700-5708 - [c5]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 - [c4]Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang:
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. ICML 2020: 3292-3303 - [c3]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 - [c2]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 - [i7]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) - [i6]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) - [i5]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) - [i4]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) - [i3]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) - [i2]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
- [c1]Shi Yin, Yonggan Fu, Can Wang, Runlong Wu, Heyan Ding, Shangfei Wang:
Integrating Facial Images, Speeches and Time for Empathy Prediction. FG 2019: 1-3 - [i1]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)
Coauthor Index
[c38] [c37] [i42] [i41] [i40] [i39] [i38] [j5] [j4] [j3] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [j2] [j1] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [c6] [c5] [c4] [c3] [c2] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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