First Author Conference Papers

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    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

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    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]

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    Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular 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

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    ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
    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]

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    SuperTickets: Drawing Task-Agnostic 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

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    ShiftAddNAS: Hardware-Inspired 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

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    EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Accelerator Co-Design
    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

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

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    Early-Bird GCNs: Graph-Network Co-Optimization 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]

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    ShiftAddNet: A Hardware-Inspired 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

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    Drawing Early-Bird 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

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    EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Accelerator Co-Design
    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]

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    Max-Affine Spline Insights Into Deep Network Pruning
    In TMLR, 2022
    H. You, R. Balestriero, Z. Lu, Y. Kou, H. Shi, S. Zhang, S. Wu, Y. Lin, R. Baraniuk
    [Paper] [Code]

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    Bayesian Cycle-Consistent 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]

Co-Authored Papers

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    EDGE-LLM: 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]

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

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    Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design
    In ISCA 2023 (Acceptance rate: 21%)
    Y. Fu, Z. Ye, J. Yuan, S. Zhang, S. Li, H. You, Y. Lin
    [Paper]

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    Instant-3D: Instant Neural Radiance Fields Training Towards Real-Time 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]

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    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]

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    SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training
    In IEEE TNNLS, 2022
    X. Chen, Y. Zhao, Y. Wang, P. Xu, H. You, C. Li, Y. Fu, Y. Lin, Z. Wang
    [Paper] [Code]

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    i-FlatCam: A 253 FPS, 91.49 µJ/Frame Ultra-Compact Intelligent Lensless Camera System for Real-Time 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]

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    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]

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    I-GCN: 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]

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    HW-NAS-Bench: Hardware-Aware 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]

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    G-CoS: GNN-Accelerator Co-Search 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]

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

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    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]

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

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    SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost 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]