Haoran You

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 55

Top Topics

Neural Architecture

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

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 (2024)
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) (2023)
Sixu Li, Chaojian Li, Wenbo Zhu, Boyang 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 (2023)
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)
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)
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 (2023)
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) (2023)
Haoran You, Huihong Shi, Yipin Guo, Yingyan Lin
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer. NeurIPS (2023)
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)
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)
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) (2023)
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) (2023)
Shunyao Zhang, Yonggan Fu, Shang Wu, Jyotikrishna Dass, Haoran You, Yingyan Lin
NetDistiller: Empowering Tiny Deep Learning via In-Situ Distillation. CoRR (2023)
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)
Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Lin
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. CoRR (2023)
Haoran You, Huihong Shi, Yipin Guo, Yingyan Lin
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer. CoRR (2023)
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)
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 (2022)
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)
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)
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 (2022)
Haoran You, Baopu Li, Huihong Shi, Yonggan Fu, Yingyan Lin
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks. ICML (2022)
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 (2022)
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)
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 (2022)
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)
Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. HPCA (2022)
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 (2022)
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 (2022)
Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks. ICCAD (2022)
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 (2022)
Haoran You, Baopu Li, Huihong Shi, Yonggan Fu, Yingyan Lin
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks. CoRR (2022)
Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks. CoRR (2022)
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 (2021)
Haoran You, Yu Cheng, Tianheng Cheng, Chun-Liang Li, Pan Zhou
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling. IEEE Trans. Neural Networks Learn. Syst. 32 (10) (2021)
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)
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)
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 (2021)
Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. CoRR (2021)
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)
Randall Balestriero, Haoran You, Zhihan Lu, Yutong Kou, Yingyan Lin, Richard G. Baraniuk
Max-Affine Spline Insights Into Deep Network Pruning. CoRR (2021)
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 (2021)
Haoran You, Zhihan Lu, Zijian Zhou, Yingyan Lin
GEBT: Drawing Early-Bird Tickets in Graph Convolutional Network Training. CoRR (2021)
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)
Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin
ShiftAddNet: A Hardware-Inspired Deep Network. CoRR (2020)
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 (2020)
Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin
ShiftAddNet: A Hardware-Inspired Deep Network. NeurIPS (2020)
Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin
DNA: Differentiable Network-Accelerator Co-Search. CoRR (2020)
Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin
HALO: Hardware-Aware Learning to Optimize. ECCV (9) (2020)
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 (2020)
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)
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)
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)
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 (2019)
Haoran You, Yu Cheng, Tianheng Cheng, Chun-Liang Li, Pan Zhou
Bayesian CycleGAN via Marginalizing Latent Sampling. CoRR (2018)