Drawing early-bird tickets: Towards more efficient training of deep networks. - Haoran You; Chaojian Li; Pengfei Xu 011; Yonggan Fu; Yue Wang 036; Xiaohan Chen; Yingyan Lin; Zhangyang Wang; Richard G. Baraniuk (CoRR, 2019)

HALO: Hardware-Aware Learning to Optimize. - Chaojian Li; Tianlong Chen 001; Haoran You; Zhangyang Wang; Yingyan Lin (ECCV (9), 2020)

AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. - Pengfei Xu 011; Xiaofan Zhang 001; Cong Hao; Yang Zhao 013; Yongan Zhang; Yue Wang 036; Chaojian Li; Zetong Guan; Deming Chen; Yingyan Lin (FPGA, 2020)

DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. - Yang Zhao 013; Chaojian Li; Yue Wang 036; Pengfei Xu 011; Yongan Zhang; Yingyan Lin (ICASSP, 2020)

Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. - Haoran You; Chaojian Li; Pengfei Xu 011; Yonggan Fu; Yue Wang 036; Xiaohan Chen; Richard G. Baraniuk; Zhangyang Wang; Yingyan Lin (ICLR, 2020)

SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. - Yang Zhao 013; Xiaohan Chen; Yue Wang 036; Chaojian Li; Haoran You; Yonggan Fu; Yuan Xie 001; Zhangyang Wang; Yingyan Lin (ISCA, 2020)

A New MRAM-Based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision. - Hongjie Wang 002; Yang Zhao 013; Chaojian Li; Yue Wang 036; Yingyan Lin (ISCAS, 2020)

FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. - Yonggan Fu; Haoran You; Yang Zhao 013; Yue Wang 036; Chaojian Li; Kailash Gopalakrishnan; Zhangyang Wang; Yingyan Lin (NeurIPS, 2020)

ShiftAddNet: A Hardware-Inspired Deep Network. - Haoran You; Xiaohan Chen; Yongan Zhang; Chaojian Li; Sicheng Li 001; Zihao Liu; Zhangyang Wang; Yingyan Lin (NeurIPS, 2020)

DNA: Differentiable Network-Accelerator Co-Search. - Yongan Zhang; Yonggan Fu; Weiwen Jiang; Chaojian Li; Haoran You; Meng Li 004; Vikas Chandra; Yingyan Lin (CoRR, 2020)

InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. - Yonggan Fu; Zhongzhi Yu; Yongan Zhang; Yifan Jiang 001; Chaojian Li; Yongyuan Liang; Mingchao Jiang; Zhangyang Wang; Yingyan Lin (DAC, 2021)

A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. - Yonggan Fu; Yongan Zhang; Chaojian Li; Zhongzhi Yu; Yingyan Lin (DAC, 2021)

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. - Chaojian Li; Zhongzhi Yu; Yonggan Fu; Yongan Zhang; Yang Zhao 013; Haoran You; Qixuan Yu 001; Yue Wang 036; Cong Hao; Yingyan Lin (ICLR, 2021)

DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. - Yongan Zhang; Yonggan Fu; Weiwen Jiang; Chaojian Li; Haoran You; Meng Li 004; Vikas Chandra; Yingyan Lin (ISLPED, 2021)

2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency. - Yonggan Fu; Yang Zhao 013; Qixuan Yu 001; Chaojian Li; Yingyan Lin (MICRO, 2021)

Locality Sensitive Teaching. - Zhaozhuo Xu; Beidi Chen; Chaojian Li; Weiyang Liu; Le Song; Yingyan Lin; Anshumali Shrivastava (NeurIPS, 2021)

SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training. - Xiaohan Chen; Yang Zhao 013; Yue Wang 036; Pengfei Xu 011; Haoran You; Chaojian Li; Yonggan Fu; Yingyan Lin; Zhangyang Wang (CoRR, 2021)

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. - Chaojian Li; Zhongzhi Yu; Yonggan Fu; Yongan Zhang; Yang Zhao 013; Haoran You; Qixuan Yu 001; Yue Wang 036; Yingyan Lin (CoRR, 2021)

FBNetV5: Neural Architecture Search for Multiple Tasks in One Run. - Bichen Wu; Chaojian Li; Hang Zhang 005; Xiaoliang Dai; Peizhao Zhang; Matthew Yu; Jialiang Wang 001; Yingyan Lin; Peter Vajda (CoRR, 2021)

MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation. - Zhongzhi Yu; Yonggan Fu; Sicheng Li 001; Chaojian Li; Yingyan Lin (AAAI, 2022)

INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. - Chaojian Li; Bichen Wu; Albert Pumarola; Peizhao Zhang; Yingyan Lin; Peter Vajda (ECCV Workshops (3), 2022)

RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering. - Chaojian Li; Sixu Li; Yang Zhao 013; Wenbo Zhu; Yingyan Lin (ICCAD, 2022)

EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design. - Haoran You; Cheng Wan 005; Yang Zhao 013; Zhongzhi Yu; Yonggan Fu; Jiayi Yuan 001; Shang Wu 003; Shunyao Zhang; Yongan Zhang; Chaojian Li; Vivek Boominathan; Ashok Veeraraghavan; et al. (ISCA, 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 013; Ziyun Li; Yonggan Fu; Yongan Zhang; Chaojian Li; Cheng Wan 005; Haoran You; Shang Wu 003; Xu Ouyang; Vivek Boominathan; Ashok Veeraraghavan; Yingyan Lin (VLSI Technology and Circuits, 2022)

DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. - Chaojian Li; Wuyang Chen 001; Yuchen Gu; Tianlong Chen 001; Yonggan Fu; Zhangyang Wang; Yingyan Lin (ACM Trans. Design Autom. Electr. Syst., 2022)

Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing. - Yang Katie Zhao; Shang Wu 003; Jingqun Zhang; Sixu Li; Chaojian Li; Yingyan Celine Lin (DAC, 2023)

ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention. - Jyotikrishna Dass; Shang Wu 003; Huihong Shi; Chaojian Li; Zhifan Ye; Zhongfeng Wang 001; Yingyan Lin (HPCA, 2023)

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. - Haoran You; Zhanyi Sun; Huihong Shi; Zhongzhi Yu; Yang Zhao 013; Yongan Zhang; Chaojian Li; Baopu Li; Yingyan Lin (HPCA, 2023)

ERSAM: Neural Architecture Search for Energy-Efficient and Real-Time Social Ambiance Measurement. - Chaojian Li; Wenwan Chen; Jiayi Yuan 001; Yingyan Celine Lin; Ashutosh Sabharwal (ICASSP, 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 005; Yingyan Celine Lin (ICCAD, 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 005; Haoran You; Huihong Shi; Yingyan Celine Lin (ISCA, 2023)

EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design. - Haoran You; Yang Zhao 013; Cheng Wan 005; Zhongzhi Yu; Yonggan Fu; Jiayi Yuan 001; Shang Wu 003; Shunyao Zhang; Yongan Zhang; Chaojian Li; Vivek Boominathan; Ashok Veeraraghavan; et al. (IEEE Micro, 2023)

SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training. - Xiaohan Chen; Yang Zhao 013; Yue Wang 036; Pengfei Xu 011; Haoran You; Chaojian Li; Yonggan Fu; Yingyan Lin; Zhangyang Wang (IEEE Trans. Neural Networks Learn. Syst., 2023)

MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. - Chaojian Li; Bichen Wu; Peter Vajda; Yingyan Lin (3DV, 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 (ECCV (16), 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 (ICCAD, 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 005; Ananda Samajdar; Yingyan Celine Lin; Tushar Krishna; Arijit Raychowdhury (ISPASS, 2024)

Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering. - Sixu Li; Yang Zhao 013; Chaojian Li; Bowei Guo; Jingqun Zhang; Wenbo Zhu; Zhifan Ye; Cheng Wan 005; Yingyan Celine Lin (MICRO, 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 (NeurIPS, 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 005; Tushar Krishna; Yingyan Lin; 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 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 005; Sixu Li; Youbin Kim; Ananda Samajdar; Yingyan Celine Lin; et al. (CoRR, 2024)

An Investigation on Hardware-Aware Vision Transformer Scaling. - Chaojian Li; Kyungmin Kim 002; Bichen Wu; Peizhao Zhang; Hang Zhang 005; Xiaoliang Dai; Peter Vajda; Yingyan (Celine) Lin (ACM Trans. Embed. Comput. Syst., 2024)

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 (CVPR, 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 (HPCA, 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 005; Chenxi Wan; Chaojian Li; Sreemanth Prathipati; Yingyan Celine Lin (HPCA, 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)

Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling. - Chaojian Li; Zhifan Ye; Massimiliano Lupo Pasini; Jong Youl Choi; Cheng Wan 005; Yingyan Celine Lin; Prasanna Balaprakash (CoRR, 2025)