Yonggan Fu - RankMe

110 papers A* 37A 4B 2Journal 62Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time Compute. EACL (Findings) Hyewon Suh, Chaojian Li, Cheng-Jhih Shih, Zheng Wang, Kejing Xia, Yonggan Fu, Yingyan Celine Lin
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	J	`jnl`	Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed. CoRR Yonggan Fu, Lexington Allen Whalen, Zhifan Ye, Xin Dong, Shizhe Diao, Jingyu Liu, Chengyue Wu, Hao Zhang, Enze Xie, Song Han, Maksim Khadkevich, Jan Kautz, Yingyan Celine Lin, Pavlo Molchanov
2025	J	`jnl`	Fast-dLLM v2: Efficient Block-Diffusion LLM. CoRR Chengyue Wu, Hao Zhang, Shuchen Xue, Shizhe Diao, Yonggan Fu, Zhijian Liu, Pavlo O. Molchanov, Ping Luo, Song Han, Enze Xie
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	A*	`conf`	Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR. HPCA Zhifan Ye, Yonggan Fu, Jingqun Zhang, Leshu Li, Yongan Zhang, Sixu Li, Cheng Wan, Chenxi Wan, Chaojian Li, Sreemanth Prathipati, Yingyan Celine Lin
2025	J	`jnl`	Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR. CoRR Zhifan Ye, Yonggan Fu, Jingqun Zhang, Leshu Li, Yongan Zhang, Sixu Li, Cheng Wan, Chenxi Wan, Chaojian Li, Sreemanth Prathipati, Yingyan Celine Lin
2025	A*	`conf`	Hymba: A Hybrid-head Architecture for Small Language Models. ICLR 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 Celine Lin, Jan Kautz, Pavlo Molchanov
2025	—	`conf`	LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering. ACL (2) Zhifan Ye, Zheng Wang, Kejing Xia, Jihoon Hong, Leshu Li, Lexington Allen Whalen, Cheng Wan, Yonggan Fu, Yingyan Celine Lin, Souvik Kundu
2025	A*	`conf`	LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models. ICML Dachuan Shi, Yonggan Fu, Xiangchi Yuan, Zhongzhi Yu, Haoran You, Sixu Li, Xin Dong, Jan Kautz, Pavlo Molchanov, Yingyan Celine 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`	LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement. CoRR Zhifan Ye, Kejing Xia, Yonggan Fu, Xin Dong, Jihoon Hong, Xiangchi Yuan, Shizhe Diao, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin
2025	A*	`conf`	LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement. ICLR Zhifan Ye, Kejing Xia, Yonggan Fu, Xin Dong, Jihoon Hong, Xiangchi Yuan, Shizhe Diao, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin
2025	J	`jnl`	Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models. CoRR Yonggan Fu, Xin Dong, Shizhe Diao, Matthijs Van Keirsbilck, Hanrong Ye, Wonmin Byeon, Yashaswi Karnati, Lucas Liebenwein, Hannah Zhang, Nikolaus Binder, Maksim Khadkevich, Alexander Keller, Jan Kautz, Yingyan (Celine) Lin, Pavlo Molchanov
2025	A*	`conf`	ORCHES: Orchestrated Test-Time-Compute-based LLM Reasoning on Collaborative GPU-PIM HEterogeneous System. MICRO Sixu Li, Yuzhou Chen, Chaojian Li, Yonggan Fu, Zheng Wang, Zhongzhi Yu, Haoran You, Zhifan Ye, Wei Zhou, Yongan Zhang, Yingyan (Celine) 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
2025	J	`jnl`	Small Language Models are the Future of Agentic AI. CoRR Peter Belcak, Greg Heinrich, Shizhe Diao, Yonggan Fu, Xin Dong, Saurav Muralidharan, Yingyan Celine Lin, Pavlo Molchanov
2025	J	`jnl`	TiDAR: Think in Diffusion, Talk in Autoregression. CoRR Jingyu Liu, Xin Dong, Zhifan Ye, Rishabh Mehta, Yonggan Fu, Vartika Singh, Jan Kautz, Ce Zhang, Pavlo Molchanov
2025	J	`jnl`	ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration. CoRR Hongjin Su, Shizhe Diao, Ximing Lu, Mingjie Liu, Jiacheng Xu, Xin Dong, Yonggan Fu, Peter Belcak, Hanrong Ye, Hongxu Yin, Yi Dong, Evelina Bakhturina, Tao Yu, Yejin Choi, Jan Kautz, Pavlo Molchanov
2024	A*	`conf`	AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment. NeurIPS Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian, Yongan Zhang, Xiangchi Yuan, Dachuan Shi, Roman Yakunin, Yingyan (Celine) Lin
2024	J	`jnl`	AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment. CoRR Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian, Yongan Zhang, Xiangchi Yuan, Dachuan Shi, Roman Yakunin, Yingyan Celine 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	J	`jnl`	MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation. CoRR Yongan Zhang, Zhongzhi Yu, Yonggan Fu, Cheng Wan, Yingyan Celine 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	A*	`conf`	Rad-NeRF: Ray-decoupled Training of Neural Radiance Field. NeurIPS Lidong Guo, Xuefei Ning, Yonggan Fu, Tianchen Zhao, Zhuoliang Kang, Jincheng Yu, Yingyan (Celine) Lin, Yu Wang
2024	B	`conf`	Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. ISPASS 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
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. CoRR 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
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	A*	`conf`	Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration. ICML Zhongzhi Yu, Zheng Wang, Yonggan Fu, Huihong Shi, Khalid Shaikh, Yingyan Celine Lin
2024	J	`jnl`	Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration. CoRR Zhongzhi Yu, Zheng Wang, Yonggan Fu, Huihong Shi, Khalid Shaikh, Yingyan Celine Lin
2023	A*	`conf`	Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. CVPR Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Celine Lin
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`	EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design. IEEE Micro 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
2023	A	`conf`	GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. ICCAD Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Celine Lin
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	A*	`conf`	Hint-Aug: Drawing Hints from Foundation Vision Transformers towards Boosted Few-shot Parameter-Efficient Tuning. CVPR Zhongzhi Yu, Shang Wu, Yonggan Fu, Shunyao Zhang, Yingyan Celine Lin
2023	A*	`conf`	Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. ICML Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine 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	A*	`conf`	NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations. ICML Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Celine 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	A*	`conf`	NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. DAC Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Celine 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	A*	`conf`	Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning. DAC Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Celine 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	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
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	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	A*	`conf`	Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. NeurIPS Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Jeff Lai, Yingyan (Celine) 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	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	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`	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	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	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	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`	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`	MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation. CoRR Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin
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`	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
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`	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	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	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	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	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
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	B	`conf`	Integrating Facial Images, Speeches and Time for Empathy Prediction. FG Shi Yin, Yonggan Fu, Can Wang, Runlong Wu, Heyan Ding, Shangfei Wang