Chaojian Li - RankMe

81 papers A* 22A 6B 1C 1Misc 2Journal 43Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Neural Network Variational Monte Carlo from a Computing Workload Characterization Perspective. CoRR Zhengze Xiao, Xuanzhe Ding, Yuyang Lou, Lixue Cheng, Chaojian Li
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
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	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	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	J	`jnl`	Hardware Race for Scalable Real-Time 3D Neural Reconstruction and Rendering. Computer Sixu Li, Chaojian Li, Yingyan (Celine) Lin
2025	J	`jnl`	Integration of Mobile Interaction Technologies in Supply Chain Management for S2B2C E-Commerce Platforms. Int. J. Interact. Mob. Technol. Chaojian Li, Yutong Gong
2025	A	`conf`	LLM4Verilog: Building Large-Scale, High-Quality Data Infrastructure for Verilog Code Generation via Community Efforts. ICCAD Zhongzhi Yu, Chaojian Li, Yongan Zhang, Mingjie Liu, Nathaniel Ross Pinckney, Wenfei Zhou, Rongjian Liang, Haoyu Yang, Haoxing Ren, Yingyan Celine Lin
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	A*	`conf`	Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling. DAC Chaojian Li, Zhifan Ye, Massimiliano Lupo Pasini, Jong Youl Choi, Cheng Wan, Prasanna Balaprakash
2025	J	`jnl`	Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling. CoRR Chaojian Li, Zhifan Ye, Massimiliano Lupo Pasini, Jong Youl Choi, Cheng Wan, Yingyan Celine Lin, Prasanna Balaprakash
2025	A*	`conf`	Uni-Render: A Unified Accelerator for Real-Time Rendering Across Diverse Neural Renderers. HPCA Chaojian Li, Sixu Li, Linrui Jiang, Jingqun Zhang, Yingyan Celine Lin
2025	J	`jnl`	Uni-Render: A Unified Accelerator for Real-Time Rendering Across Diverse Neural Renderers. CoRR Chaojian Li, Sixu Li, Linrui Jiang, Jingqun Zhang, Yingyan Celine Lin
2024	A*	`conf`	3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning. NeurIPS Zhifan Ye, Chenxi Wan, Chaojian Li, Jihoon Hong, Sixu Li, Leshu Li, Yongan Zhang, Yingyan (Celine) Lin
2024	J	`jnl`	An Investigation on Hardware-Aware Vision Transformer Scaling. ACM Trans. Embed. Comput. Syst. Chaojian Li, Kyungmin Kim, Bichen Wu, Peizhao Zhang, Hang Zhang, Xiaoliang Dai, Peter Vajda, Yingyan (Celine) Lin
2024	A*	`conf`	Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering. MICRO Sixu Li, Yang Zhao, Chaojian Li, Bowei Guo, Jingqun Zhang, Wenbo Zhu, Zhifan Ye, Cheng Wan, Yingyan Celine Lin
2024	A	`conf`	Invited Paper: LLM4HWDesign Contest: Constructing a Comprehensive Dataset for LLM-Assisted Hardware Code Generation with Community Efforts. ICCAD Zhongzhi Yu, Chaojian Li, Yongan Zhang, Mingjie Liu, Nathaniel Ross Pinckney, Wenfei Zhou, Haoyu Yang, Rongjian Liang, Haoxing Ren, Yingyan Celine Lin
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	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
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	Misc	`conf`	ERSAM: Neural Architecture Search for Energy-Efficient and Real-Time Social Ambiance Measurement. ICASSP Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Celine Lin, Ashutosh Sabharwal
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`	Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction. ISCA Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Katie Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan (Celine) 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	A*	`conf`	Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing. DAC Yang Katie Zhao, Shang Wu, Jingqun Zhang, Sixu Li, Chaojian Li, Yingyan Celine 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`	MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. CoRR Chaojian Li, Bichen Wu, Peter Vajda, 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	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	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	—	`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	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`	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`	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`	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`	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	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`	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	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`	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	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	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	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	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	—	`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
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