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ORCIDYingyan (Celine) Lin
Yingyan Lin – Yingyan Celine Lin – Celine Lin
Person information
- affiliation: Georgia Institute of Technology, Atlanta, GA, USA
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2020 – today
- 2024
[j16]Chaojian Li
, Kyungmin Kim, Bichen Wu, Peizhao Zhang, Hang Zhang, Xiaoliang Dai, Peter Vajda, Yingyan (Celine) Lin:
An Investigation on Hardware-Aware Vision Transformer Scaling. ACM Trans. Embed. Comput. Syst. 23(3): 52:1-52:19 (2024)- [c73]Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin:
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. 3DV 2024: 1115-1124 - [c72]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 - [i73]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) - [i72]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) - [i71]Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan Lin:
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization. CoRR abs/2406.05981 (2024) - [i70]Haoran You, Yichao Fu, Zheng Wang, Amir Yazdanbakhsh, Yingyan Lin:
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models. CoRR abs/2406.07368 (2024) - [i69]Zhongzhi Yu, Zheng Wang, Yuhan Li, Haoran You, Ruijie Gao, Xiaoya Zhou, Sreenidhi Reedy Bommu, Yang Katie Zhao, Yingyan Celine Lin:
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting. CoRR abs/2406.15758 (2024) - [i68]Zhongzhi Yu, Zheng Wang, Yonggan Fu, Huihong Shi, Khalid Shaikh, Yingyan Celine Lin:
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration. CoRR abs/2406.15765 (2024) - 2023
- [j15]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:
EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design. IEEE Micro 43(4): 88-97 (2023) - [j14]Shunyao Zhang, Yonggan Fu, Shang Wu, Jyotikrishna Dass, Haoran You, Yingyan Lin:
NetDistiller: Empowering Tiny Deep Learning via In Situ Distillation. IEEE Micro 43(6): 84-92 (2023) - [j13]Huihong Shi, Haoran You, Zhongfeng Wang, Yingyan Lin:
NASA+: Neural Architecture Search and Acceleration for Multiplication-Reduced Hybrid Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 70(6): 2523-2536 (2023) - [j12]Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang:
SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7099-7113 (2023) - [c71]Zhongzhi Yu, Shang Wu, Yonggan Fu, Shunyao Zhang, Yingyan Celine Lin:
Hint-Aug: Drawing Hints from Foundation Vision Transformers towards Boosted Few-shot Parameter-Efficient Tuning. CVPR 2023: 11102-11112 - [c70]Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Celine Lin:
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference. CVPR 2023: 14431-14442 - [c69]Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Celine Lin:
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. CVPR 2023: 21036-21045 - [c68]Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Celine Lin:
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning. DAC 2023: 1-6 - [c67]Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Celine Lin:
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. DAC 2023: 1-6 - [c66]Yang Katie Zhao, Shang Wu, Jingqun Zhang, Sixu Li, Chaojian Li, Yingyan Celine Lin:
Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing. DAC 2023: 1-6 - [c65]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. HPCA 2023: 273-286 - [c64]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. HPCA 2023: 415-428 - [c63]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 - [c62]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 - [c61]Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Celine Lin:
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations. ICML 2023: 10482-10493 - [c60]Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine Lin:
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. ICML 2023: 40475-40487 - [c59]Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Katie Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan Celine Lin:
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction. ISCA 2023: 6:1-6:13 - [c58]Yonggan Fu, Zhifan Ye, Jiayi Yuan, Shunyao Zhang, Sixu Li, Haoran You, Yingyan Lin:
Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design. ISCA 2023: 74:1-74:12 - [c57]Haoran You, Huihong Shi, Yipin Guo, Yingyan Lin:
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer. NeurIPS 2023 - [c56]Foroozan Karimzadeh, Mohsen Imani, Bahar Asgari, Ningyuan Cao, Yingyan Lin, Yan Fang:
Memory-Based Computing for Energy-Efficient AI: Grand Challenges. VLSI-SoC 2023: 1-8 - [i67]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) - [i66]Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Lin:
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning. CoRR abs/2304.11834 (2023) - [i65]Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Lin:
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. CoRR abs/2304.11835 (2023) - [i64]Yonggan Fu, Zhifan Ye, Jiayi Yuan, Shunyao Zhang, Sixu Li, Haoran You, Yingyan Lin:
Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design. CoRR abs/2304.11842 (2023) - [i63]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) - [i62]Zhongzhi Yu, Shang Wu, Yonggan Fu, Shunyao Zhang, Yingyan Lin:
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning. CoRR abs/2304.12520 (2023) - [i61]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) - [i60]Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Lin:
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations. CoRR abs/2306.06359 (2023) - [i59]Haoran You, Huihong Shi, Yipin Guo, Yingyan Lin:
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer. CoRR abs/2306.06446 (2023) - [i58]Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Lin:
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. CoRR abs/2306.13586 (2023) - [i57]Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan Lin, Jason Cong, Yizhou Sun:
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware. CoRR abs/2306.14052 (2023) - [i56]Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Yonggan Fu, Yingyan Lin:
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. CoRR abs/2306.15686 (2023) - [i55]Yujie Zhao, Yang Zhao, Cheng Wan, Yingyan Lin:
3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits. CoRR abs/2307.08060 (2023) - [i54]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) - [i53]Shunyao Zhang, Yonggan Fu, Shang Wu, Jyotikrishna Dass, Haoran You, Yingyan Lin:
NetDistiller: Empowering Tiny Deep Learning via In-Situ Distillation. CoRR abs/2310.19820 (2023) - [i52]Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin:
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. CoRR abs/2312.11841 (2023) - 2022
- [j11]Yongan Zhang, Anton Banta, Yonggan Fu, Mathews M. John, Allison Post, Mehdi Razavi, Joseph R. Cavallaro, Behnaam Aazhang, Yingyan Lin:
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms. ACM J. Emerg. Technol. Comput. Syst. 18(2): 29:1-29:25 (2022) - [j10]Haoran You, Randall Balestriero, Zhihan Lu, Yutong Kou, Huihong Shi, Shunyao Zhang, Shang Wu, Yingyan Lin, Richard G. Baraniuk:
Max-Affine Spline Insights Into Deep Network Pruning. Trans. Mach. Learn. Res. 2022 (2022) - [j9]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. ACM Trans. Design Autom. Electr. Syst. 27(5): 50:1-50:20 (2022) - [c55]Haoran You, Zhihan Lu, Zijian Zhou, Yonggan Fu, Yingyan Lin:
Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets. AAAI 2022: 8910-8918 - [c54]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 - [c53]Yonggan Fu, Qixuan Yu, Meng Li, Xu Ouyang, Vikas Chandra, Yingyan Lin:
Contrastive quant: quantization makes stronger contrastive learning. DAC 2022: 205-210 - [c52]Haoran You, Baopu Li, Zhanyi Sun, Xu Ouyang, Yingyan Lin:
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning. ECCV (11) 2022: 674-690 - [c51]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 - [c50]Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt:
FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks. FCCM 2022: 1-2 - [c49]Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt:
A Framework for Neural Network Inference on FPGA-Centric SmartNICs. FPL 2022: 1-8 - [c48]Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin:
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. HPCA 2022: 460-474 - [c47]Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin:
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks. ICCAD 2022: 58:1-58:9 - [c46]Chaojian Li, Sixu Li, Yang Zhao, Wenbo Zhu, Yingyan Lin:
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering. ICCAD 2022: 132:1-132:9 - [c45]Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin:
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? ICLR 2022 - [c44]Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin:
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. ICLR 2022 - [c43]Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin:
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. ICML 2022: 6849-6862 - [c42]Haoran You, Baopu Li, Huihong Shi, Yonggan Fu, Yingyan Lin:
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks. ICML 2022: 25566-25580 - [c41]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:
EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design. ISCA 2022: 610-622 - [c40]Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin:
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling. MLSys 2022 - [c39]Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Jeff Lai, Celine Lin:
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. NeurIPS 2022 - [c38]Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin:
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 - [c37]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:
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 2022: 252-253 - [i51]Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li:
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. CoRR abs/2203.03606 (2022) - [i50]Zhongzhi Yu, Yonggan Fu, Shang Wu, Mengquan Li, Haoran You, Yingyan Lin:
LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference. CoRR abs/2203.07713 (2022) - [i49]Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin:
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? CoRR abs/2203.08392 (2022) - [i48]Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin:
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. CoRR abs/2203.10428 (2022) - [i47]Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin:
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling. CoRR abs/2203.10983 (2022) - [i46]Haoran You, Baopu Li, Huihong Shi, Yonggan Fu, Yingyan Lin:
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks. CoRR abs/2205.08119 (2022) - [i45]Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin:
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. CoRR abs/2206.00843 (2022) - [i44]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:
EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm & Accelerator Co-Design. CoRR abs/2206.00877 (2022) - [i43]Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin:
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) - [i42]Haoran You, Baopu Li, Zhanyi Sun, Xu Ouyang, Yingyan Lin:
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning. CoRR abs/2207.03677 (2022) - [i41]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:
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 abs/2209.04407 (2022) - [i40]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) - [i39]Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin:
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks. CoRR abs/2210.13361 (2022) - [i38]Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin:
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. CoRR abs/2211.01522 (2022) - [i37]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) - [i36]Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Lin:
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference. CoRR abs/2211.10526 (2022) - [i35]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) - [i34]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
- [j8]Yiran Chen, Qinru Qiu, Yingyan Lin:
Introduction of Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 1. ACM J. Emerg. Technol. Comput. Syst. 17(2): 18:1-18:2 (2021) - [j7]Yiran Chen, Qinru Qiu, Yingyan Lin:
Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning - Part 2. ACM J. Emerg. Technol. Comput. Syst. 17(4): 45:1-45:2 (2021) - [j6]Xing Hu, Yang Zhao, Lei Deng, Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, Yuan Xie:
Practical Attacks on Deep Neural Networks by Memory Trojaning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1230-1243 (2021) - [j5]Riccardo Petrolo, Zhambyl Shaikhanov, Yingyan Lin, Edward W. Knightly:
ASTRO: A System for Off-grid Networked Drone Sensing Missions. ACM Trans. Internet Things 2(4): 24:1-24:22 (2021) - [j4]Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Hui Liu, Zhangyang Wang, Yingyan Lin:
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles. IEEE Trans. Mob. Comput. 20(12): 3282-3297 (2021) - [c36]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 - [c35]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 - [c34]Yiming Qiu, Hongyi Liu, Thomas E. Anderson, Yingyan Lin, Ang Chen:
Toward reconfigurable kernel datapaths with learned optimizations. HotOS 2021: 175-182 - [c33]Mengquan Li, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, Yingyan Lin:
O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. ICCAD 2021: 1-9 - [c32]Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin:
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency. ICCAD 2021: 1-9 - [c31]Yonggan Fu, Yang Zhang, Yue Wang, Zhihan Lu, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin:
SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam. ICCV 2021: 5148-5157 - [c30]Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin:
CPT: Efficient Deep Neural Network Training via Cyclic Precision. ICLR 2021 - [c29]Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, Yingyan Lin:
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. ICLR 2021 - [c28]Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin:
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference. ICML 2021: 3492-3504 - [c27]Yonggan Fu, Yongan Zhang, Yang Zhang, David D. Cox, Yingyan Lin:
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators. ICML 2021: 3505-3517 - [c26]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 - [c25]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. MICRO 2021: 225-237 - [c24]Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li:
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. MICRO 2021: 1051-1063 - [c23]Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David D. Cox, Yingyan Lin:
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks. NeurIPS 2021: 13059-13072 - [c22]Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava:
Locality Sensitive Teaching. NeurIPS 2021: 18049-18062 - [i33]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) - [i32]Randall Balestriero, Haoran You, Zhihan Lu, Yutong Kou, Yingyan Lin, Richard G. Baraniuk:
Max-Affine Spline Insights Into Deep Network Pruning. CoRR abs/2101.02338 (2021) - [i31]Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin:
CPT: Efficient Deep Neural Network Training via Cyclic Precision. CoRR abs/2101.09868 (2021) - [i30]Haoran You, Zhihan Lu, Zijian Zhou, Yingyan Lin:
GEBT: Drawing Early-Bird Tickets in Graph Convolutional Network Training. CoRR abs/2103.00794 (2021) - [i29]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) - [i28]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) - [i27]Yonggan Fu, Yongan Zhang, Yang Zhang, David D. Cox, Yingyan Lin:
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators. CoRR abs/2106.06575 (2021) - [i26]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) - [i25]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) - [i24]Mengquan Li, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, Yingyan Lin:
O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. CoRR abs/2108.07538 (2021) - [i23]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) - [i22]Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin:
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency. CoRR abs/2109.08983 (2021) - [i21]Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David D. Cox, Yingyan Lin:
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks. CoRR abs/2110.14068 (2021) - [i20]Yongan Zhang, Anton Banta, Yonggan Fu, Mathews M. John, Allison Post, Mehdi Razavi, Joseph R. Cavallaro, Behnaam Aazhang, Yingyan Lin:
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms. CoRR abs/2111.02569 (2021) - [i19]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) - [i18]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) - [i17]Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin:
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. CoRR abs/2112.11594 (2021) - 2020
- [j3]Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan M. Nguyen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin:
Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference. IEEE J. Sel. Top. Signal Process. 14(4): 623-633 (2020) - [c21]Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin:
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. AAAI 2020: 5700-5708 - [c20]Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin:
HALO: Hardware-Aware Learning to Optimize. ECCV (9) 2020: 500-518 - [c19]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. FPGA 2020: 40-50 - [c18]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. ICASSP 2020: 1593-1597 - [c17]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 - [c16]Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang:
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. ICML 2020: 3292-3303 - [c15]Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin:
Timely: Pushing Data Movements And Interfaces In Pim Accelerators Towards Local And In Time Domain. ISCA 2020: 832-845 - [c14]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. ISCA 2020: 954-967 - [c13]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. ISCAS 2020: 1-5 - [c12]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 - [c11]Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin:
ShiftAddNet: A Hardware-Inspired Deep Network. NeurIPS 2020 - [c10]Yingyan Lin:
Bringing Powerful Machine-Learning Systems to Daily-Life Devices via Algorithm-Hardware Co-Design. VLSI-DAT 2020: 1 - [i16]Jianghao Shen, Yonggan Fu, Yue Wang, Pengfei Xu, Zhangyang Wang, Yingyan Lin:
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. CoRR abs/2001.00705 (2020) - [i15]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) - [i14]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) - [i13]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) - [i12]Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin:
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain. CoRR abs/2005.01206 (2020) - [i11]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) - [i10]Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Atlas Wang, Yingyan Lin:
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles. CoRR abs/2006.04432 (2020) - [i9]Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang:
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. CoRR abs/2006.08198 (2020) - [i8]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) - [i7]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) - [i6]Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yingyan Lin:
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search. CoRR abs/2012.13091 (2020) - [i5]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
- [c9]Pengfei Xu, Yue Wang, Yang Zhao, Yingyan Lin:
Live Demonstration: Bringing Powerful Deep Learning into Daily-Life Devices (Mobiles and FPGAs) Via Deep k-Means. ISCAS 2019: 1 - [c8]Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang:
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings. NeurIPS 2019: 5139-5151 - [i4]Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan M. Nguyen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin:
Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference. CoRR abs/1907.04523 (2019) - [i3]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) - [i2]Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang:
E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving. CoRR abs/1910.13349 (2019) - 2018
- [j2]Yingyan Lin, Sai Zhang, Naresh R. Shanbhag:
A Rank Decomposed Statistical Error Compensation Technique for Robust Convolutional Neural Networks in the Near Threshold Voltage Regime. J. Signal Process. Syst. 90(10): 1439-1451 (2018) - [c7]Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin:
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. ICML 2018: 5359-5368 - [c6]Yingyan Lin, Joseph R. Cavallaro:
Energy-efficient Convolutional Neural Networks via Statistical Error Compensated Near Threshold Computing. ISCAS 2018: 1-5 - [c5]Riccardo Petrolo, Yingyan Lin, Edward W. Knightly:
ASTRO: Autonomous, Sensing, and Tetherless netwoRked drOnes. DroNet@MobiSys 2018: 1-6 - [c4]Sicong Liu, Yingyan Lin, Zimu Zhou, Kaiming Nan, Hui Liu, Junzhao Du:
On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework. MobiSys 2018: 389-400 - [i1]Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin:
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. CoRR abs/1806.09228 (2018) - 2017
- [b1]Yingyan (Celine) Lin:
Energy-efficient systems for information transfer and processing. University of Illinois Urbana-Champaign, USA, 2017 - [c3]Yingyan Lin, Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag:
PredictiveNet: An energy-efficient convolutional neural network via zero prediction. ISCAS 2017: 1-4 - 2016
- [j1]Yingyan Lin, Min-Sun Keel, Adam C. Faust, Aolin Xu, Naresh R. Shanbhag, Elyse Rosenbaum, Andrew C. Singer:
A Study of BER-Optimal ADC-Based Receiver for Serial Links. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(5): 693-704 (2016) - [c2]Yingyan Lin, Sai Zhang, Naresh R. Shanbhag:
Variation-Tolerant Architectures for Convolutional Neural Networks in the Near Threshold Voltage Regime. SiPS 2016: 17-22 - 2012
- [c1]Aadithya V. Karthik, Yingyan Lin, Chenjie Gu, Aolin Xu, Jaijeet S. Roychowdhury, Naresh R. Shanbhag:
A fully automated technique for constructing FSM abstractions of non-ideal latches in communication systems. ICASSP 2012: 5289-5292
Coauthor Index
[c72] [i73] [i72] [i68] [j15] [j14] [j12] [c71] [c69] [c68] [c67] [c62] [c61] [c60] [c58] [i66] [i65] [i64] [i62] [i60] [i58] [i56] [i54] [i53] [j11] [j9] [c55] [c54] [c53] [c45] [c43] [c42] [c41] [c39] [c38] [c37] [i50] [i49] [i46] [i45] [i44] [i43] [i41] [i38] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [i33] [i31] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i18] [c21] [c17] [c16] [c14] [c12] [i16] [i11] [i9] [i7] [i6] [i5] [i3]
[j16] [c73] [c72] [i73] [i72] [j15] [j12] [c66] [c65] [c64] [c63] [c62] [c59] [i67] [i63] [i61] [i54] [i52] [j9] [c54] [c51] [c46] [c41] [c38] [i44] [i43] [i40] [i37] [i35] [i34] [c36] [c35] [c29] [c26] [c25] [c22] [i33] [i29] [i28] [i26] [i25] [i23] [i19] [i18] [c20] [c19] [c18] [c17] [c14] [c13] [c12] [c11] [i15] [i14] [i13] [i11] [i8] [i7] [i5] [i3]
[c72] [i73] [i71] [i70] [i69] [j15] [j14] [j13] [j12] [c70] [c67] [c65] [c59] [c58] [c57] [i64] [i63] [i59] [i58] [i53] [j10] [c55] [c52] [c48] [c47] [c42] [c41] [c38] [i51] [i50] [i46] [i44] [i43] [i42] [i40] [i39] [i36] [c32] [c29] [c26] [c24] [i33] [i32] [i30] [i29] [i22] [i17] [c20] [c17] [c14] [c12] [c11] [i11] [i8] [i7] [i5] [i3]
Yang Zhao 0013
aka: Yang Katie Zhao
aka: Yang Katie Zhao
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