Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks. - Yonggan Fu; Qixuan Yu 001; Yang Zhang 001; Shang Wu 003; Xu Ouyang; David D. Cox; Yingyan Lin (NeurIPS, 2021)

Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? - Yonggan Fu; Shunyao Zhang; Shang Wu 003; Cheng Wan 005; Yingyan Lin (ICLR, 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)

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. - Yang Zhao 013; Yongan Zhang; Yonggan Fu; Xu Ouyang; Cheng Wan 005; Shang Wu 003; Anton Banta; Mathews M. John; Allison Post; Mehdi Razavi; Joseph R. Cavallaro; Behnaam Aazhang; et al. (VLSI Technology and Circuits, 2022)

LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference. - Zhongzhi Yu; Yonggan Fu; Shang Wu 003; Mengquan Li; Haoran You; Yingyan Lin (CoRR, 2022)

Max-Affine Spline Insights Into Deep Network Pruning. - Haoran You; Randall Balestriero; Zhihan Lu; Yutong Kou; Huihong Shi; Shunyao Zhang; Shang Wu 003; Yingyan Lin; Richard G. Baraniuk (Trans. Mach. Learn. Res., 2022)

Hint-Aug: Drawing Hints from Foundation Vision Transformers towards Boosted Few-shot Parameter-Efficient Tuning. - Zhongzhi Yu; Shang Wu 003; Yonggan Fu; Shunyao Zhang; Yingyan Celine Lin (CVPR, 2023)

Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning. - Yonggan Fu; Ye Yuan; Shang Wu 003; Jiayi Yuan 001; Yingyan Celine Lin (DAC, 2023)

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)

NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations. - Yonggan Fu; Ye Yuan; Souvik Kundu 009; Shang Wu 003; Shunyao Zhang; Yingyan Celine Lin (ICML, 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)

NetDistiller: Empowering Tiny Deep Learning via In Situ Distillation. - Shunyao Zhang; Yonggan Fu; Shang Wu 003; Jyotikrishna Dass; Haoran You; Yingyan Lin (IEEE Micro, 2023)