Chaojian Li

According to our database, Chaojian Li authored at least 50 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hardware Race for Scalable Real-Time 3D Neural Reconstruction and Rendering.

Sixu Li, Chaojian Li, Yingyan Lin

Computer, October, 2025

Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling.

Chaojian Li, Zhifan Ye, Massimiliano Lupo Pasini, Jong Youl Choi, Cheng Wan, Yingyan Celine Lin, Prasanna Balaprakash

CoRR, April, 2025

Integration of Mobile Interaction Technologies in Supply Chain Management for S2B2C E-Commerce Platforms.

Chaojian Li, Yutong Gong

Int. J. Interact. Mob. Technol., 2025

Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR.

Zhifan Ye, Yonggan Fu, Jingqun Zhang, Leshu Li, Yongan Zhang, Sixu Li, Cheng Wan, Chenxi Wan, Chaojian Li, Sreemanth Prathipati, Yingyan Celine Lin

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

Uni-Render: A Unified Accelerator for Real-Time Rendering Across Diverse Neural Renderers.

Chaojian Li, Sixu Li, Linrui Jiang, Jingqun Zhang, Yingyan Celine Lin

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling.

Chaojian Li, Zhifan Ye, Massimiliano Lupo Pasini, Jong Youl Choi, Cheng Wan, Prasanna Balaprakash

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training.

Lexington Whalen, Zhenbang Du, Haoran You, Chaojian Li, Sixu Li, Yingyan Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

An Investigation on Hardware-Aware Vision Transformer Scaling.

Chaojian Li, Kyungmin Kim, Bichen Wu, Peizhao Zhang, Hang Zhang, Xiaoliang Dai, Peter Vajda, Yingyan (Celine) Lin

ACM Trans. Embed. Comput. Syst., May, 2024

Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture.

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

CoRR, 2024

Omni-Recon: Towards General-Purpose Neural Radiance Fields for Versatile 3D Applications.

Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, Yingyan Lin

CoRR, 2024

Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI.

Zishen Wan, Che-Kai Liu, Hanchen Yang, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Tushar Krishna, Yingyan Lin, Arijit Raychowdhury

CoRR, 2024

3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning.

Zhifan Ye, Chenxi Wan, Chaojian Li, Jihoon Hong, Sixu Li, Leshu Li, Yongan Zhang, Yingyan (Celine) Lin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering.

Sixu Li, Yang Zhao, Chaojian Li, Bowei Guo, Jingqun Zhang, Wenbo Zhu, Zhifan Ye, Cheng Wan, Yingyan Celine Lin

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI.

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

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2024

Invited Paper: LLM4HWDesign Contest: Constructing a Comprehensive Dataset for LLM-Assisted Hardware Code Generation with Community Efforts.

Zhongzhi Yu, Chaojian Li, Yongan Zhang, Mingjie Liu, Nathaniel Ross Pinckney, Wenfei Zhou, Haoyu Yang, Rongjian Liang, Haoxing Ren, Yingyan Celine Lin

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Omni-Recon: Harnessing Image-Based Rendering for General-Purpose Neural Radiance Fields.

Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, Yingyan Lin

Proceedings of the Computer Vision - ECCV 2024, 2024

MixRT: Mixed Neural Representations For Real-Time NeRF Rendering.

Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin

Proceedings of the International Conference on 3D Vision, 2024

2023

SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training.

Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang

IEEE Trans. Neural Networks Learn. Syst., October, 2023

EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design.

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

IEEE Micro, 2023

Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction.

Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Katie Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan Celine Lin

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models.

Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Celine Lin

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

ERSAM: Neural Architecture Search for Energy-Efficient and Real-Time Social Ambiance Measurement.

Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Celine Lin, Ashutosh Sabharwal

Proceedings of the IEEE International Conference on Acoustics, 2023

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design.

Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention.

Jyotikrishna Dass, Shang Wu, Huihong Shi, Chaojian Li, Zhifan Ye, Zhongfeng Wang, Yingyan Lin

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing.

Yang Katie Zhao, Shang Wu, Jingqun Zhang, Sixu Li, Chaojian Li, Yingyan Celine Lin

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference.

Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin

ACM Trans. Design Autom. Electr. Syst., 2022

i-FlatCam: A 253 FPS, 91.49 µJ/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR.

Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin

Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design.

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

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering.

Chaojian Li, Sixu Li, Yang Zhao, Wenbo Zhu, Yingyan Lin

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors.

Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation.

Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

FBNetV5: Neural Architecture Search for Multiple Tasks in One Run.

Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda

CoRR, 2021

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark.

Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Yingyan Lin

CoRR, 2021

SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training.

Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang

CoRR, 2021

Locality Sensitive Teaching.

Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency.

Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency.

Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark.

Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, Yingyan Lin

Proceedings of the 9th International Conference on Learning Representations, 2021

A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning.

Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks.

Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

DNA: Differentiable Network-Accelerator Co-Search.

Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin

CoRR, 2020

ShiftAddNet: A Hardware-Inspired Deep Network.

Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training.

Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A New MRAM-Based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision.

Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation.

Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks.

Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin

Proceedings of the 8th International Conference on Learning Representations, 2020

DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures.

Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs.

Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin

Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

HALO: Hardware-Aware Learning to Optimize.

Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Drawing early-bird tickets: Towards more efficient training of deep networks.

Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk

CoRR, 2019