Yingyan Lin - RankMe

159 papers A* 34A 8B 1C 5Misc 3Journal 96Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action Models. CoRR Zhuofan Li, Hongkun Yang, Zhenyang Chen, Yangxuan Chen, Yingyan Lin, Chaojian Li
2025	J	`jnl`	3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering. CoRR Wei-Hsing Huang, Cheng-Jhih Shih, Jian-Wei Su, Samuel Wade Wang, Vaidehi Garg, Yuyao Kong, Jen-Chun Tien, Nealson Li, Arijit Raychowdhury, Meng-Fan Chang, Yingyan Lin, Shimeng Yu
2025	J	`jnl`	A3D-MoE: Acceleration of Large Language Models with Mixture of Experts via 3D Heterogeneous Integration. CoRR Wei-Hsing Huang, Janak Sharda, Cheng-Jhih Shih, Yuyao Kong, Faaiq Waqar, Pin-Jun Chen, Yingyan Lin, Shimeng Yu
2025	J	`jnl`	CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training. CoRR Shizhe Diao, Yu Yang, Yonggan Fu, Xin Dong, Dan Su, Markus Kliegl, Zijia Chen, Peter Belcak, Yoshi Suhara, Hongxu Yin, Mostofa Patwary, Yingyan Lin, Jan Kautz, Pavlo Molchanov
2025	A*	`conf`	Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training. CVPR Lexington Allen Whalen, Zhenbang Du, Haoran You, Chaojian Li, Sixu Li, Yingyan Lin
2025	J	`jnl`	Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training. CoRR Lexington Allen Whalen, Zhenbang Du, Haoran You, Chaojian Li, Sixu Li, Yingyan Lin
2025	J	`jnl`	Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment. CoRR Zhenbang Du, Yonggan Fu, Lifu Wang, Jiayi Qian, Xiao Luo, Yingyan Lin
2025	J	`jnl`	LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models. CoRR Dachuan Shi, Yonggan Fu, Xiangchi Yuan, Zhongzhi Yu, Haoran You, Sixu Li, Xin Dong, Jan Kautz, Pavlo Molchanov, Yingyan Lin
2025	J	`jnl`	Re-CATA: Real-Time and Flexible Accelerator Design Framework for On-Device Codec Avatars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yongan Zhang, Yuecheng Li, Syed Shakib Sarwar, Huseyin Ekin Sumbul, Yonggan Fu, Haoran You, Cheng Wan, Yingyan Lin
2024	J	`jnl`	AutoAI2C: An Automated Hardware Generator for DNN Acceleration on Both FPGA and ASIC. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yongan Zhang, Xiaofan Zhang, Pengfei Xu, Yang Zhao, Cong Hao, Deming Chen, Yingyan Lin
2024	J	`jnl`	Hymba: A Hybrid-head Architecture for Small Language Models. CoRR 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
2024	—	`conf`	MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. 3DV Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin
2024	—	`conf`	Omni-Recon: Harnessing Image-Based Rendering for General-Purpose Neural Radiance Fields. ECCV (16) Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, Yingyan Lin
2024	J	`jnl`	Omni-Recon: Towards General-Purpose Neural Radiance Fields for Versatile 3D Applications. CoRR Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, Yingyan Lin
2024	J	`jnl`	ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization. CoRR Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan Lin
2024	J	`jnl`	Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI. CoRR Zishen Wan, Che-Kai Liu, Hanchen Yang, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Tushar Krishna, Yingyan Lin, Arijit Raychowdhury
2024	J	`jnl`	Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture. IEEE Trans. Circuits Syst. Artif. Intell. Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Sixu Li, Youbin Kim, Ananda Samajdar, Yingyan Lin, Mohamed Ibrahim, Jan M. Rabaey, Tushar Krishna, Arijit Raychowdhury
2024	J	`jnl`	When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models. CoRR Haoran You, Yichao Fu, Zheng Wang, Amir Yazdanbakhsh, Yingyan Lin
2023	J	`jnl`	3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits. CoRR Yujie Zhao, Yang Zhao, Cheng Wan, Yingyan Lin
2023	J	`jnl`	A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware. CoRR Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan Lin, Jason Cong, Yizhou Sun
2023	J	`jnl`	Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. CoRR Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Lin
2023	J	`jnl`	ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement. CoRR Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Lin, Ashutosh Sabharwal
2023	J	`jnl`	GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. CoRR Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Lin
2023	A*	`conf`	Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design. ISCA Yonggan Fu, Zhifan Ye, Jiayi Yuan, Shunyao Zhang, Sixu Li, Haoran You, Yingyan Lin
2023	J	`jnl`	Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design. CoRR Yonggan Fu, Zhifan Ye, Jiayi Yuan, Shunyao Zhang, Sixu Li, Haoran You, Yingyan Lin
2023	J	`jnl`	Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning. CoRR Zhongzhi Yu, Shang Wu, Yonggan Fu, Shunyao Zhang, Yingyan Lin
2023	J	`jnl`	Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction. CoRR Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan Lin
2023	J	`jnl`	Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing. CoRR Yang Zhao, Shang Wu, Jingqun Zhang, Sixu Li, Chaojian Li, Yingyan Lin
2023	J	`jnl`	Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. CoRR Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Yonggan Fu, Yingyan Lin
2023	C	`conf`	Memory-Based Computing for Energy-Efficient AI: Grand Challenges. VLSI-SoC Foroozan Karimzadeh, Mohsen Imani, Bahar Asgari, Ningyuan Cao, Yingyan Lin, Yan Fang
2023	J	`jnl`	MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. CoRR Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin
2023	J	`jnl`	NASA+: Neural Architecture Search and Acceleration for Multiplication-Reduced Hybrid Networks. IEEE Trans. Circuits Syst. I Regul. Pap. Huihong Shi, Haoran You, Zhongfeng Wang, Yingyan Lin
2023	J	`jnl`	NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations. CoRR Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Lin
2023	J	`jnl`	NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. CoRR Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Lin
2023	J	`jnl`	NetDistiller: Empowering Tiny Deep Learning via In Situ Distillation. IEEE Micro Shunyao Zhang, Yonggan Fu, Shang Wu, Jyotikrishna Dass, Haoran You, Yingyan Lin
2023	J	`jnl`	NetDistiller: Empowering Tiny Deep Learning via In-Situ Distillation. CoRR Shunyao Zhang, Yonggan Fu, Shang Wu, Jyotikrishna Dass, Haoran You, Yingyan Lin
2023	J	`jnl`	Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning. CoRR Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Lin
2023	A*	`conf`	ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer. NeurIPS Haoran You, Huihong Shi, Yipin Guo, Yingyan Lin
2023	J	`jnl`	ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer. CoRR Haoran You, Huihong Shi, Yipin Guo, Yingyan Lin
2023	J	`jnl`	SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training. IEEE Trans. Neural Networks Learn. Syst. Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang
2023	A*	`conf`	ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention. HPCA Jyotikrishna Dass, Shang Wu, Huihong Shi, Chaojian Li, Zhifan Ye, Zhongfeng Wang, Yingyan Lin
2023	A*	`conf`	ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. HPCA Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin
2022	B	`conf`	A Framework for Neural Network Inference on FPGA-Centric SmartNICs. FPL Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt
2022	—	`conf`	BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling. MLSys Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
2022	J	`jnl`	BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling. CoRR Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
2022	J	`jnl`	Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference. CoRR Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Lin
2022	A*	`conf`	Contrastive quant: quantization makes stronger contrastive learning. DAC Yonggan Fu, Qixuan Yu, Meng Li, Xu Ouyang, Vikas Chandra, Yingyan Lin
2022	J	`jnl`	DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. ACM Trans. Design Autom. Electr. Syst. Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin
2022	A*	`conf`	DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. ICML Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
2022	J	`jnl`	DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. CoRR Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
2022	A*	`conf`	Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets. AAAI Haoran You, Zhihan Lu, Zijian Zhou, Yonggan Fu, Yingyan Lin
2022	J	`jnl`	EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm & Accelerator Co-Design. CoRR 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
2022	A*	`conf`	EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design. ISCA 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
2022	Misc	`conf`	FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks. FCCM Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt
2022	A*	`conf`	GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. HPCA Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin
2022	J	`jnl`	I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. CoRR Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li
2022	—	`conf`	INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. ECCV Workshops (3) Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda
2022	J	`jnl`	INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. CoRR Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda
2022	J	`jnl`	LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference. CoRR Zhongzhi Yu, Yonggan Fu, Shang Wu, Mengquan Li, Haoran You, Yingyan Lin
2022	J	`jnl`	Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. CoRR Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin
2022	A*	`conf`	MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation. AAAI Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin
2022	J	`jnl`	Max-Affine Spline Insights Into Deep Network Pruning. Trans. Mach. Learn. Res. Haoran You, Randall Balestriero, Zhihan Lu, Yutong Kou, Huihong Shi, Shunyao Zhang, Shang Wu, Yingyan Lin, Richard G. Baraniuk
2022	A	`conf`	NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks. ICCAD Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin
2022	J	`jnl`	NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks. CoRR Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin
2022	A*	`conf`	Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? ICLR Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin
2022	J	`jnl`	Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? CoRR Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin
2022	A*	`conf`	PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. ICLR Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
2022	J	`jnl`	PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. CoRR Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
2022	A	`conf`	RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering. ICCAD Chaojian Li, Sixu Li, Yang Zhao, Wenbo Zhu, Yingyan Lin
2022	J	`jnl`	RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering. CoRR Chaojian Li, Sixu Li, Yang Zhao, Wenbo Zhu, Yingyan Lin
2022	J	`jnl`	RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms. ACM J. Emerg. Technol. Comput. Syst. Yongan Zhang, Anton Banta, Yonggan Fu, Mathews M. John, Allison Post, Mehdi Razavi, Joseph R. Cavallaro, Behnaam Aazhang, Yingyan Lin
2022	A*	`conf`	ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks. ICML Haoran You, Baopu Li, Huihong Shi, Yonggan Fu, Yingyan Lin
2022	J	`jnl`	ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks. CoRR Haoran You, Baopu Li, Huihong Shi, Yonggan Fu, Yingyan Lin
2022	—	`conf`	SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning. ECCV (11) Haoran You, Baopu Li, Zhanyi Sun, Xu Ouyang, Yingyan Lin
2022	J	`jnl`	SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning. CoRR Haoran You, Baopu Li, Zhanyi Sun, Xu Ouyang, Yingyan Lin
2022	J	`jnl`	ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention. CoRR Jyotikrishna Dass, Shang Wu, Huihong Shi, Chaojian Li, Zhifan Ye, Zhongfeng Wang, Yingyan Lin
2022	J	`jnl`	ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. CoRR Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin
2022	—	`conf`	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 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
2022	J	`jnl`	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 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
2022	—	`conf`	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 Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin
2022	J	`jnl`	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 Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin
2021	A*	`conf`	2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency. MICRO Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin
2021	J	`jnl`	2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency. CoRR Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin
2021	A*	`conf`	A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. DAC Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin
2021	J	`jnl`	A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. CoRR Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin
2021	J	`jnl`	ASTRO: A System for Off-grid Networked Drone Sensing Missions. ACM Trans. Internet Things Riccardo Petrolo, Zhambyl Shaikhanov, Yingyan Lin, Edward W. Knightly
2021	J	`jnl`	AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles. IEEE Trans. Mob. Comput. Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Hui Liu, Zhangyang Wang, Yingyan Lin
2021	A*	`conf`	Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators. ICML Yonggan Fu, Yongan Zhang, Yang Zhang, David D. Cox, Yingyan Lin
2021	J	`jnl`	Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators. CoRR Yonggan Fu, Yongan Zhang, Yang Zhang, David D. Cox, Yingyan Lin
2021	A*	`conf`	CPT: Efficient Deep Neural Network Training via Cyclic Precision. ICLR Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin
2021	J	`jnl`	CPT: Efficient Deep Neural Network Training via Cyclic Precision. CoRR Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin
2021	J	`jnl`	DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. CoRR Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin
2021	A	`conf`	DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. ISLPED Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin
2021	A*	`conf`	Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference. ICML Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin
2021	A*	`conf`	Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks. NeurIPS Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David D. Cox, Yingyan Lin
2021	J	`jnl`	Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks. CoRR Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David D. Cox, Yingyan Lin
2021	J	`jnl`	FBNetV5: Neural Architecture Search for Multiple Tasks in One Run. CoRR Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda
2021	A	`conf`	G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency. ICCAD Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin
2021	J	`jnl`	G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency. CoRR Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin
2021	J	`jnl`	GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. CoRR Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin
2021	J	`jnl`	GEBT: Drawing Early-Bird Tickets in Graph Convolutional Network Training. CoRR Haoran You, Zhihan Lu, Zijian Zhou, Yingyan Lin
2021	A*	`conf`	HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. ICLR Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, Yingyan Lin
2021	J	`jnl`	HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. CoRR Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Yingyan Lin
2021	A*	`conf`	I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. MICRO Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li
2021	A*	`conf`	InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. DAC Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin
2021	J	`jnl`	InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. CoRR Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin
2021	J	`jnl`	Introduction of Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 1. ACM J. Emerg. Technol. Comput. Syst. Yiran Chen, Qinru Qiu, Yingyan Lin
2021	J	`jnl`	Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning - Part 2. ACM J. Emerg. Technol. Comput. Syst. Yiran Chen, Qinru Qiu, Yingyan Lin
2021	A*	`conf`	Locality Sensitive Teaching. NeurIPS Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava
2021	J	`jnl`	MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation. CoRR Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin
2021	J	`jnl`	Max-Affine Spline Insights Into Deep Network Pruning. CoRR Randall Balestriero, Haoran You, Zhihan Lu, Yutong Kou, Yingyan Lin, Richard G. Baraniuk
2021	A	`conf`	O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. ICCAD Mengquan Li, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, Yingyan Lin
2021	J	`jnl`	O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. CoRR Mengquan Li, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, Yingyan Lin
2021	J	`jnl`	Practical Attacks on Deep Neural Networks by Memory Trojaning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xing Hu, Yang Zhao, Lei Deng, Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, Yuan Xie
2021	J	`jnl`	RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms. CoRR Yongan Zhang, Anton Banta, Yonggan Fu, Mathews M. John, Allison Post, Mehdi Razavi, Joseph R. Cavallaro, Behnaam Aazhang, Yingyan Lin
2021	A*	`conf`	SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam. ICCV Yonggan Fu, Yang Zhang, Yue Wang, Zhihan Lu, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin
2021	J	`jnl`	SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training. CoRR Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang
2021	A	`conf`	Toward reconfigurable kernel datapaths with learned optimizations. HotOS Yiming Qiu, Hongyi Liu, Thomas E. Anderson, Yingyan Lin, Ang Chen
2020	C	`conf`	A New MRAM-Based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision. ISCAS Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin
2020	J	`jnl`	A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision. CoRR Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin
2020	J	`jnl`	AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles. CoRR Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Atlas Wang, Yingyan Lin
2020	J	`jnl`	Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search. CoRR Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yingyan Lin
2020	A	`conf`	AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. FPGA Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin
2020	J	`jnl`	AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. CoRR Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin
2020	A*	`conf`	AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. ICML Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
2020	J	`jnl`	AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. CoRR Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
2020	—	`conf`	Bringing Powerful Machine-Learning Systems to Daily-Life Devices via Algorithm-Hardware Co-Design. VLSI-DAT Yingyan Lin
2020	J	`jnl`	DNA: Differentiable Network-Accelerator Co-Search. CoRR Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin
2020	Misc	`conf`	DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. ICASSP Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin
2020	J	`jnl`	DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. CoRR Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin
2020	A*	`conf`	Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. ICLR Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin
2020	J	`jnl`	Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference. IEEE J. Sel. Top. Signal Process. Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan M. Nguyen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin
2020	A*	`conf`	FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. NeurIPS Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin
2020	J	`jnl`	FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. CoRR Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin
2020	A*	`conf`	Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. AAAI Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin
2020	J	`jnl`	Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. CoRR Jianghao Shen, Yonggan Fu, Yue Wang, Pengfei Xu, Zhangyang Wang, Yingyan Lin
2020	—	`conf`	HALO: Hardware-Aware Learning to Optimize. ECCV (9) Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin
2020	A*	`conf`	ShiftAddNet: A Hardware-Inspired Deep Network. NeurIPS Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin
2020	J	`jnl`	ShiftAddNet: A Hardware-Inspired Deep Network. CoRR Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin
2020	A*	`conf`	SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. ISCA Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin
2020	J	`jnl`	SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. CoRR Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin
2020	J	`jnl`	TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain. CoRR Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin
2020	A*	`conf`	Timely: Pushing Data Movements And Interfaces In Pim Accelerators Towards Local And In Time Domain. ISCA Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin
2019	J	`jnl`	Drawing early-bird tickets: Towards more efficient training of deep networks. CoRR Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk
2019	J	`jnl`	Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference. CoRR Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan M. Nguyen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin
2019	J	`jnl`	E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving. CoRR Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang
2019	A*	`conf`	E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings. NeurIPS Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang
2019	C	`conf`	Live Demonstration: Bringing Powerful Deep Learning into Daily-Life Devices (Mobiles and FPGAs) Via Deep k-Means. ISCAS Pengfei Xu, Yue Wang, Yang Zhao, Yingyan Lin
2018	J	`jnl`	A Rank Decomposed Statistical Error Compensation Technique for Robust Convolutional Neural Networks in the Near Threshold Voltage Regime. J. Signal Process. Syst. Yingyan Lin, Sai Zhang, Naresh R. Shanbhag
2018	—	`conf`	ASTRO: Autonomous, Sensing, and Tetherless netwoRked drOnes. DroNet@MobiSys Riccardo Petrolo, Yingyan Lin, Edward W. Knightly
2018	A*	`conf`	Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. ICML Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin
2018	J	`jnl`	Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. CoRR Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin
2018	C	`conf`	Energy-efficient Convolutional Neural Networks via Statistical Error Compensated Near Threshold Computing. ISCAS Yingyan Lin, Joseph R. Cavallaro
2018	A	`conf`	On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework. MobiSys Sicong Liu, Yingyan Lin, Zimu Zhou, Kaiming Nan, Hui Liu, Junzhao Du
2017	—	`—`	Energy-efficient systems for information transfer and processing Yingyan Lin
2017	C	`conf`	PredictiveNet: An energy-efficient convolutional neural network via zero prediction. ISCAS Yingyan Lin, Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag
2016	J	`jnl`	A Study of BER-Optimal ADC-Based Receiver for Serial Links. IEEE Trans. Circuits Syst. I Regul. Pap. Yingyan Lin, Min-Sun Keel, Adam C. Faust, Aolin Xu, Naresh R. Shanbhag, Elyse Rosenbaum, Andrew C. Singer
2016	—	`conf`	Variation-Tolerant Architectures for Convolutional Neural Networks in the Near Threshold Voltage Regime. SiPS Yingyan Lin, Sai Zhang, Naresh R. Shanbhag
2012	Misc	`conf`	A fully automated technique for constructing FSM abstractions of non-ideal latches in communication systems. ICASSP Aadithya V. Karthik, Yingyan Lin, Chenjie Gu, Aolin Xu, Jaijeet S. Roychowdhury, Naresh R. Shanbhag