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Chaojian Li
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2020 – today
- 2024
- [j4]Chaojian Li
, Kyungmin Kim
An Investigation on Hardware-Aware Vision Transformer Scaling. ACM Trans. Embed. Comput. Syst. 23(3): 52:1-52:19 (2024) - [c29]Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin:
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. 3DV 2024: 1115-1124 - [c28]Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, Yingyan Lin:
Omni-Recon: Harnessing Image-Based Rendering for General-Purpose Neural Radiance Fields. ECCV (16) 2024: 153-174 - [c27]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:
Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. ISPASS 2024: 268-279 - [c26]Sixu Li, Yang Zhao, Chaojian Li, Bowei Guo, Jingqun Zhang, Wenbo Zhu, Zhifan Ye, Cheng Wan, Yingyan Celine Lin:
Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering. MICRO 2024: 78-91 - [i30]Zishen Wan, Che-Kai Liu, Hanchen Yang, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Tushar Krishna, Yingyan Lin, Arijit Raychowdhury:
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI. CoRR abs/2401.01040 (2024) - [i29]Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, Yingyan Lin:
Omni-Recon: Towards General-Purpose Neural Radiance Fields for Versatile 3D Applications. CoRR abs/2403.11131 (2024) - [i28]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:
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture. CoRR abs/2409.13153 (2024) - 2023
- [j3]Haoran You
EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design. IEEE Micro 43(4): 88-97 (2023) - [j2]Xiaohan Chen
SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7099-7113 (2023) - [c25]Yang Katie Zhao
Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing. DAC 2023: 1-6 - [c24]Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. HPCA 2023: 273-286 - [c23]Jyotikrishna Dass
ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention. HPCA 2023: 415-428 - [c22]Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Celine Lin, Ashutosh Sabharwal:
ERSAM: Neural Architecture Search for Energy-Efficient and Real-Time Social Ambiance Measurement. ICASSP 2023: 1-5 - [c21]Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Celine Lin:
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. ICCAD 2023: 1-9 - [c20]Sixu Li
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction. ISCA 2023: 6:1-6:13 - [i27]Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Lin, Ashutosh Sabharwal:
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement. CoRR abs/2303.10727 (2023) - [i26]Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan Lin:
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction. CoRR abs/2304.12467 (2023) - [i25]Yang Zhao, Shang Wu, Jingqun Zhang, Sixu Li, Chaojian Li, Yingyan Lin:
Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing. CoRR abs/2305.05766 (2023) - [i24]Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Lin:
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. CoRR abs/2309.10730 (2023) - [i23]Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin:
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. CoRR abs/2312.11841 (2023) - 2022
- [j1]Chaojian Li
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. ACM Trans. Design Autom. Electr. Syst. 27(5): 50:1-50:20 (2022) - [c19]Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin:
MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation. AAAI 2022: 8962-8970 - [c18]Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda:
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. ECCV Workshops (3) 2022: 686-694 - [c17]Chaojian Li, Sixu Li
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering. ICCAD 2022: 132:1-132:9 - [c16]Haoran You
EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design. ISCA 2022: 610-622 - [c15]Yang Zhao
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 2022: 108-109 - [i22]Haoran You, Cheng Wan, Yang Zhao, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan
EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm & Accelerator Co-Design. CoRR abs/2206.00877 (2022) - [i21]Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan
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 abs/2206.08141 (2022) - [i20]Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin:
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. CoRR abs/2210.09573 (2022) - [i19]Jyotikrishna Dass, Shang Wu, Huihong Shi, Chaojian Li, Zhifan Ye, Zhongfeng Wang, Yingyan Lin:
ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention. CoRR abs/2211.05109 (2022) - [i18]Chaojian Li, Sixu Li, Yang Zhao, Wenbo Zhu, Yingyan Lin:
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering. CoRR abs/2212.01120 (2022) - [i17]Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda:
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. CoRR abs/2212.01959 (2022) - 2021
- [c14]Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin:
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. DAC 2021: 13-18 - [c13]Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin:
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. DAC 2021: 757-762 - [c12]Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. ICLR 2021 - [c11]Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin:
DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. ISLPED 2021: 1-6 - [c10]Yonggan Fu, Yang Zhao
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency. MICRO 2021: 225-237 - [c9]Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava:
Locality Sensitive Teaching. NeurIPS 2021: 18049-18062 - [i16]Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang:
SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training. CoRR abs/2101.01163 (2021) - [i15]Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Yingyan Lin:
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. CoRR abs/2103.10584 (2021) - [i14]Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin:
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. CoRR abs/2104.10853 (2021) - [i13]Yonggan Fu, Yongan Zhang, Chaojian Li, Zhongzhi Yu, Yingyan Lin:
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. CoRR abs/2106.06577 (2021) - [i12]Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin:
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. CoRR abs/2107.07706 (2021) - [i11]Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin:
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency. CoRR abs/2109.05223 (2021) - [i10]Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda:
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run. CoRR abs/2111.10007 (2021) - [i9]Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin:
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation. CoRR abs/2112.11542 (2021) - 2020
- [c8]Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin:
HALO: Hardware-Aware Learning to Optimize. ECCV (9) 2020: 500-518 - [c7]Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. FPGA 2020: 40-50 - [c6]Yang Zhao
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. ICASSP 2020: 1593-1597 - [c5]Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin:
Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. ICLR 2020 - [c4]Yang Zhao
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. ISCA 2020: 954-967 - [c3]Hongjie Wang
A New MRAM-Based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision. ISCAS 2020: 1-5 - [c2]Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin:
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. NeurIPS 2020 - [c1]Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin:
ShiftAddNet: A Hardware-Inspired Deep Network. NeurIPS 2020 - [i8]Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin:
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. CoRR abs/2001.03535 (2020) - [i7]Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin:
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. CoRR abs/2002.11270 (2020) - [i6]Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin:
A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision. CoRR abs/2003.01551 (2020) - [i5]Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin:
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. CoRR abs/2005.03403 (2020) - [i4]Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin:
ShiftAddNet: A Hardware-Inspired Deep Network. CoRR abs/2010.12785 (2020) - [i3]Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin:
DNA: Differentiable Network-Accelerator Co-Search. CoRR abs/2010.14778 (2020) - [i2]Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin:
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. CoRR abs/2012.13113 (2020)
2010 – 2019
- 2019
- [i1]Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk:
Drawing early-bird tickets: Towards more efficient training of deep networks. CoRR abs/1909.11957 (2019)
Coauthor Index
[j4] [c29] [c28] [c27] [c26] [i30] [i29] [i28] [j3] [j2] [c25] [c24] [c23] [c22] [c21] [c20] [i27] [i26] [i25] [i24] [i23] [j1] [c19] [c18] [c17] [c16] [c15] [i22] [i21] [i20] [i19] [i18] [i17] [c14] [c13] [c12] [c11] [c10] [c9] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
Yang Zhao 0013
aka: Yang Katie Zhao
aka: Yang Katie Zhao
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last updated on 2024-12-12 21:01 CET by the dblp team
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