First Author Conference Papers

When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
In ICML 2024 (Acceptance rate: 27%)
H. You*, Y. Fu, Z. Wang, A. Yazdanbakhsh, Y. Lin
[Preprint]
In Collaboration with Google DeepMind

ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
In NeurIPS 2023 (Acceptance rate: 26%)
H. You*, H. Shi*, Y. Guo*, Y. Lin
[Paper] [Code] [Slide] [Poster] [Talk@NeurIPS]

CastlingViT: Compressing SelfAttention via Switching Towards LinearAngular Attention During Vision Transformer Inference
In CVPR 2023 (Acceptance rate: 25%).
H. You*, Y. Xiong*, X. Dai, B. Wu, P. Zhang, H. Fan, P. Vajda, Y. Lin
[Paper] [Code] [Project] [Slide] [Poster] [Talk@CVPR]
Meta Internship Project

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator CoDesign
In HPCA 2023 (Acceptance rate: 25%)
H. You, Z. Sun, H. Shi, Z. Yu, Y. Zhao, Y. Zhang, C. Li, B. Li, Y. Lin
Selected as the Meta Faculty Research Award of 2022 !
[Paper] [Code] [Project] [Slide] [Poster] [Talk@GT] [Talk@HPCA]

SuperTickets: Drawing TaskAgnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
In ECCV 2022 (Acceptance rate: 20%)
H. You, B. Li, Z. Sun, X. Ouyang, Y. Lin
[Paper] [Code] [Slide] [Poster] [Talk@ECCV]
Baidu Research Internship Project

ShiftAddNAS: HardwareInspired Search for More Accurate and Efficient Neural Networks
In ICML 2022 (Acceptance rate: 20%)
H. You, B. Li, H. Shi, Y. Fu, Y. Lin
[Paper] [Code] [Project] [Slide] [Talk@ICML]
Baidu Research Internship Project

EyeCoD: Eye Tracking System Acceleration via FlatCamBased Algorithm and Accelerator CoDesign
In ISCA 2022 (Acceptance rate: 17%)
H. You*, C. Wan*, Y. Zhao*, Z. Yu*, Y. Fu, J. Yuan, S. Wu, S. Zhang, Y. Zhang, C. Li, V. Boominathan, A. Veeraraghavan, Z. Li, Y. Lin
Selected as the IEEE Micro’s Top Pick of 2023 !
[Paper] [Code] [Project] [Slide] [Poster@ISCA] [Poster@CoCoSys] [Talk@ISCA] [IEEE Micro’s TopPick’23]
In Collaboration with Meta

GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator CoDesign
In HPCA 2022 (Acceptance rate: 30%)
H. You, T. Geng, Y. Zhang, A. Li, Y. Lin
[Paper] [Code] [Slide] [Talk@HPCA]

EarlyBird GCNs: GraphNetwork CoOptimization Towards More Efficient GCN Training and Inference
In AAAI 2022 (Acceptance rate: 15%)
H. You, Z. Lu, Z. Zhou, Y. Fu, Y. Lin
[Paper] [Code] [Slide] [Poster] [Talk@AAAI]

ShiftAddNet: A HardwareInspired Deep Network
In NeurIPS 2020 (Acceptance rate: 20%)
H. You, X. Cheng, Y. Zhang, S. Liu, Z. Liu, Z. Wang, Y. Lin
[Paper] [Code] [Slide] [Poster] [Talk@NeurIPS] [Talk@RICE]
In Collaboration with Alibaba DAMO Academy

Drawing EarlyBird Tickets: Towards More Efficient Training of Deep Networks
In ICLR 2020 Spotlight (Acceptance rate: 4%)
H. You, C. Li, P. Xu, Y. Fu, Y. Wang, X. Chen, R.G. Baraniuk, Z. Wang, Y. Lin
Selected as an ICLR Spotlight !
[Paper] [Code] [Slide] [OpenReview] [Talk@ICLR]
First Author Journal Papers

EyeCoD: Eye Tracking System Acceleration via FlatCamBased Algorithm and Accelerator CoDesign
In IEEE Micro's Top Pick of 2023 (Top 12 in All Accepted Computer Architecture Papers of 2022)
H. You*, C. Wan*, Y. Zhao*, Z. Yu*, Y. Fu, J. Yuan, S. Wu, S. Zhang, Y. Zhang, C. Li, V. Boominathan, A. Veeraraghavan, Z. Li, Y. Lin
[Paper] [Project] [Slide] [Poster@ISCA] [Poster@CoCoSys] [Talk@ISCA]


Bayesian CycleConsistent Generative Adversarial Networks via Marginalizing Latent Sampling
In IEEE TNNLS, 2021
H. You, Y. Cheng, T. Cheng, C. Li, P. Zhou
[Paper@IEEE] [Paper@arXiv] [Code]
CoAuthored Papers

EDGELLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning & Voting
In DAC 2024 (Acceptance rate: 22%)
Z. Yu, Z. Wang, Y. Li, H. You*, R. Gao, X. Zhou, S. Bommu, Y. Zhao, Y. Lin
[Paper]

NASA+: Neural Architecture Search and Acceleration for MultiplicationReduced Hybrid Networks
In IEEE Transactions on Circuits and Systems I, 2023
H. Shi, H. You, Z. Wang, Y. Lin
[Paper@IEEE] [Code]

GenNeRF: Efficient and Generalizable Neural Radiance Fields via AlgorithmHardware CoDesign
In ISCA 2023 (Acceptance rate: 21%)
Y. Fu, Z. Ye, J. Yuan, S. Zhang, S. Li, H. You, Y. Lin
[Paper]

Instant3D: Instant Neural Radiance Fields Training Towards RealTime AR/VR 3D Reconstruction
In ISCA 2023 (Acceptance rate: 21%)
S. Li, C. Li, W. Zhu, B. Yu, Y. Zhao, C. Wan, H. You, H. Shi, Y. Lin
[Paper]

NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks
In ICCAD 2022 (Acceptance rate: 24%)
H. Shi, H. You, Y. Zhao, Z. Wang, Y. Lin
[Paper]


iFlatCam: A 253 FPS, 91.49 µJ/Frame UltraCompact Intelligent Lensless Camera System for RealTime and Efficient Eye Tracking in VR/AR
In VLSI 2022
Y. Zhao, Z. Li, H. You, Y. Fu, Y. Zhang, C. Li, C. Wan, S. Wu, X. Ouyang, V. Boominathan, A. Veeraraghavan, Y. Lin
Won the first place in University Best Demonstration at DAC 2022 !
[Paper] [Demo]

LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference
In TinyML 2022
Z. Yu, Y. Fu, S. Wu, M. Li, H. You, Y. Lin
[Paper]

IGCN: A GCN Accelerator with Runtime Locality Enhancement through Islandization
In MICRO 2021 (Acceptance rate: 22%)
T. Geng, C. Wu, Y. Zhang, C. Tan, C. Xie, H. You, M. Herbordt, Y. Lin, A. Li
[Paper]

HWNASBench: HardwareAware Neural Architecture Search Benchmark
In ICLR 2021 Spotlight (Acceptance rate: 4%)
C. Li, Z. Yu, Y. Fu, Y. Zhang, Y. Zhao, H. You, Q. Yu, Y. Wang, C. Hao, Y. Lin
[Paper]

GCoS: GNNAccelerator CoSearch Towards Both Better Accuracy and Efficiency
In ICCAD 2021 (Acceptance rate: 23%)
Y. Zhang, H. You, Y. Fu, T. Geng, A. Li, Y. Lin
[Paper]

DIAN: differentiable acceleratornetwork cosearch towards maximal DNN efficiency
In ISLPED 2021
Y. Zhang, Y. Fu, W. Jiang, C. Li, H. You, M. Li, V. Chandra, Y. Lin
[Paper]

FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
In NeurIPS 2020 (Acceptance rate: 20%)
Y. Fu, H. You, Y. Zhao, Y. Wang, C. Li, K. Gopalakrishnan, Z. Wang, Y. Lin
[Paper]

HALO: HardwareAware Learning to Optimize
In ECCV 2020 (Acceptance rate: 27%)
C. Li, T. Chen, H. You, Z. Wang, Y. Lin
[Paper]

SmartExchange: Trading Highercost Memory Storage/Access for Lowercost Computation
In ISCA 2020 (Acceptance rate: 18%)
Y. Zhao, X. Chen, Y. Wang, C. Li, H. You, Y. Fu, Y. Xie, Z. Wang, Y. Lin
[Paper]