Integrating Facial Images, Speeches and Time for Empathy Prediction. - Shi Yin; Yonggan Fu; Can Wang; Runlong Wu; Heyan Ding; Shangfei Wang (FG, 2019)

Drawing early-bird tickets: Towards more efficient training of deep networks. - Haoran You; Chaojian Li; Pengfei Xu 011; Yonggan Fu; Yue Wang 036; Xiaohan Chen; Yingyan Lin; Zhangyang Wang; Richard G. Baraniuk (CoRR, 2019)

Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. - Jianghao Shen; Yue Wang 036; Pengfei Xu 011; Yonggan Fu; Zhangyang Wang; Yingyan Lin (AAAI, 2020)

Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. - Haoran You; Chaojian Li; Pengfei Xu 011; Yonggan Fu; Yue Wang 036; Xiaohan Chen; Richard G. Baraniuk; Zhangyang Wang; Yingyan Lin (ICLR, 2020)

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. - Yonggan Fu; Wuyang Chen 001; Haotao Wang; Haoran Li; Yingyan Lin; Zhangyang Wang (ICML, 2020)

SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. - Yang Zhao 013; Xiaohan Chen; Yue Wang 036; Chaojian Li; Haoran You; Yonggan Fu; Yuan Xie 001; Zhangyang Wang; Yingyan Lin (ISCA, 2020)

FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. - Yonggan Fu; Haoran You; Yang Zhao 013; Yue Wang 036; Chaojian Li; Kailash Gopalakrishnan; Zhangyang Wang; Yingyan Lin (NeurIPS, 2020)

DNA: Differentiable Network-Accelerator Co-Search. - Yongan Zhang; Yonggan Fu; Weiwen Jiang; Chaojian Li; Haoran You; Meng Li 004; Vikas Chandra; Yingyan Lin (CoRR, 2020)

Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search. - Yonggan Fu; Zhongzhi Yu; Yongan Zhang; Yingyan Lin (CoRR, 2020)

InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. - Yonggan Fu; Zhongzhi Yu; Yongan Zhang; Yifan Jiang 001; Chaojian Li; Yongyuan Liang; Mingchao Jiang; Zhangyang Wang; Yingyan Lin (DAC, 2021)

A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning. - Yonggan Fu; Yongan Zhang; Chaojian Li; Zhongzhi Yu; Yingyan Lin (DAC, 2021)

O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. - Mengquan Li; Zhongzhi Yu; Yongan Zhang; Yonggan Fu; Yingyan Lin (ICCAD, 2021)

G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency. - Yongan Zhang; Haoran You; Yonggan Fu; Tong Geng; Ang Li 006; Yingyan Lin (ICCAD, 2021)

SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam. - Yonggan Fu; Yang Zhang 001; Yue Wang 036; Zhihan Lu; Vivek Boominathan; Ashok Veeraraghavan; Yingyan Lin (ICCV, 2021)

CPT: Efficient Deep Neural Network Training via Cyclic Precision. - Yonggan Fu; Han Guo; Meng Li 004; Xin Yang; Yining Ding; Vikas Chandra; Yingyan Lin (ICLR, 2021)

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. - Chaojian Li; Zhongzhi Yu; Yonggan Fu; Yongan Zhang; Yang Zhao 013; Haoran You; Qixuan Yu 001; Yue Wang 036; Cong Hao; Yingyan Lin (ICLR, 2021)

Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference. - Yonggan Fu; Qixuan Yu 001; Meng Li 004; Vikas Chandra; Yingyan Lin (ICML, 2021)

Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators. - Yonggan Fu; Yongan Zhang; Yang Zhang 001; David D. Cox; Yingyan Lin (ICML, 2021)

DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. - Yongan Zhang; Yonggan Fu; Weiwen Jiang; Chaojian Li; Haoran You; Meng Li 004; Vikas Chandra; Yingyan Lin (ISLPED, 2021)

2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency. - Yonggan Fu; Yang Zhao 013; Qixuan Yu 001; Chaojian Li; Yingyan Lin (MICRO, 2021)

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)

SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training. - Xiaohan Chen; Yang Zhao 013; Yue Wang 036; Pengfei Xu 011; Haoran You; Chaojian Li; Yonggan Fu; Yingyan Lin; Zhangyang Wang (CoRR, 2021)

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. - Chaojian Li; Zhongzhi Yu; Yonggan Fu; Yongan Zhang; Yang Zhao 013; Haoran You; Qixuan Yu 001; Yue Wang 036; Yingyan Lin (CoRR, 2021)

Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets. - Haoran You; Zhihan Lu; Zijian Zhou; Yonggan Fu; Yingyan Lin (AAAI, 2022)

MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation. - Zhongzhi Yu; Yonggan Fu; Sicheng Li 001; Chaojian Li; Yingyan Lin (AAAI, 2022)

Contrastive quant: quantization makes stronger contrastive learning. - Yonggan Fu; Qixuan Yu 001; Meng Li 004; Xu Ouyang; Vikas Chandra; Yingyan Lin (DAC, 2022)

Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? - Yonggan Fu; Shunyao Zhang; Shang Wu 003; Cheng Wan 005; Yingyan Lin (ICLR, 2022)

DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. - Yonggan Fu; Haichuan Yang; Jiayi Yuan 001; Meng Li 004; Cheng Wan 005; Raghuraman Krishnamoorthi; Vikas Chandra; Yingyan Lin (ICML, 2022)

ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks. - Haoran You; Baopu Li; Huihong Shi; Yonggan Fu; Yingyan Lin (ICML, 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)

Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. - Yonggan Fu; Yang Zhang 001; Kaizhi Qian; Zhifan Ye; Zhongzhi Yu; Cheng-I Jeff Lai; Celine Lin (NeurIPS, 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)

RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms. - Yongan Zhang; Anton Banta; Yonggan Fu; Mathews M. John; Allison Post; Mehdi Razavi; Joseph R. Cavallaro; Behnaam Aazhang; Yingyan Lin (ACM J. Emerg. Technol. Comput. Syst., 2022)

DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. - Chaojian Li; Wuyang Chen 001; Yuchen Gu; Tianlong Chen 001; Yonggan Fu; Zhangyang Wang; Yingyan Lin (ACM Trans. Design Autom. Electr. Syst., 2022)

Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. - Yonggan Fu; Yuecheng Li; Chenghui Li; Jason M. Saragih; Peizhao Zhang; Xiaoliang Dai; Yingyan Celine Lin (CVPR, 2023)

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)

NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. - Zhongzhi Yu; Yonggan Fu; Jiayi Yuan 001; Haoran You; Yingyan Celine Lin (DAC, 2023)

GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. - Yonggan Fu; Yongan Zhang; Zhongzhi Yu; Sixu Li; Zhifan Ye; Chaojian Li; Cheng Wan 005; Yingyan Celine Lin (ICCAD, 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)

Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. - Zhongzhi Yu; Yang Zhang 001; Kaizhi Qian; Cheng Wan 005; Yonggan Fu; Yongan Zhang; Yingyan Celine Lin (ICML, 2023)

Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design. - Yonggan Fu; Zhifan Ye; Jiayi Yuan 001; Shunyao Zhang; Sixu Li; Haoran You; Yingyan Lin (ISCA, 2023)

Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning. - Zhongzhi Yu; Yang Zhang 001; Kaizhi Qian; Yonggan Fu; Yingyan Lin (CoRR, 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)

SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training. - Xiaohan Chen; Yang Zhao 013; Yue Wang 036; Pengfei Xu 011; Haoran You; Chaojian Li; Yonggan Fu; Yingyan Lin; Zhangyang Wang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Omni-Recon: Harnessing Image-Based Rendering for General-Purpose Neural Radiance Fields. - Yonggan Fu; Huaizhi Qu; Zhifan Ye; Chaojian Li; Kevin Zhao; Yingyan Lin (ECCV (16), 2024)

Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration. - Zhongzhi Yu; Zheng Wang; Yonggan Fu; Huihong Shi; Khalid Shaikh 002; Yingyan Celine Lin (ICML, 2024)

Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. - Zishen Wan; Che-Kai Liu; Hanchen Yang; Ritik Raj; Chaojian Li; Haoran You; Yonggan Fu; Cheng Wan 005; Ananda Samajdar; Yingyan Celine Lin; Tushar Krishna; Arijit Raychowdhury (ISPASS, 2024)

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment. - Yonggan Fu; Zhongzhi Yu; Junwei Li; Jiayi Qian; Yongan Zhang; Xiangchi Yuan; Dachuan Shi; Roman Yakunin; Yingyan (Celine) Lin (NeurIPS, 2024)

Rad-NeRF: Ray-decoupled Training of Neural Radiance Field. - Lidong Guo; Xuefei Ning; Yonggan Fu; Tianchen Zhao; Zhuoliang Kang; Jincheng Yu; Yingyan (Celine) Lin; Yu Wang 002 (NeurIPS, 2024)

Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI. - Zishen Wan; Che-Kai Liu; Hanchen Yang; Chaojian Li; Haoran You; Yonggan Fu; Cheng Wan 005; Tushar Krishna; Yingyan Lin; Arijit Raychowdhury (CoRR, 2024)

Omni-Recon: Towards General-Purpose Neural Radiance Fields for Versatile 3D Applications. - Yonggan Fu; Huaizhi Qu; Zhifan Ye; Chaojian Li; Kevin Zhao; Yingyan Lin (CoRR, 2024)

MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation. - Yongan Zhang; Zhongzhi Yu; Yonggan Fu; Cheng Wan 005; Yingyan Celine Lin (CoRR, 2024)

Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture. - Zishen Wan; Che-Kai Liu; Hanchen Yang; Ritik Raj; Chaojian Li; Haoran You; Yonggan Fu; Cheng Wan 005; Sixu Li; Youbin Kim; Ananda Samajdar; Yingyan Celine Lin; et al. (CoRR, 2024)

Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR. - Zhifan Ye; Yonggan Fu; Jingqun Zhang; Leshu Li; Yongan Zhang; Sixu Li; Cheng Wan 005; Chenxi Wan; Chaojian Li; Sreemanth Prathipati; Yingyan Celine Lin (HPCA, 2025)

Hymba: A Hybrid-head Architecture for Small Language Models. - Xin Dong 009; Yonggan Fu; Shizhe Diao; Wonmin Byeon; Zijia Chen; Ameya Sunil Mahabaleshwarkar; Shih-Yang Liu; Matthijs Van Keirsbilck; Min-Hung Chen; Yoshi Suhara; Yingyan Celine Lin; Jan Kautz; et al. (ICLR, 2025)

LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement. - Zhifan Ye; Kejing Xia; Yonggan Fu; Xin Dong 009; Jihoon Hong; Xiangchi Yuan; Shizhe Diao; Jan Kautz; Pavlo Molchanov 001; Yingyan Celine Lin (ICLR, 2025)

CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training. - Shizhe Diao; Yu Yang; Yonggan Fu; Xin Dong 009; Dan Su 003; Markus Kliegl; Zijia Chen; Peter Belcak; Yoshi Suhara; Hongxu Yin; Mostofa Patwary; Yingyan Lin; et al. (CoRR, 2025)

Small Language Models are the Future of Agentic AI. - Peter Belcak; Greg Heinrich; Shizhe Diao; Yonggan Fu; Xin Dong 009; Saurav Muralidharan; Yingyan Celine Lin; Pavlo Molchanov 001 (CoRR, 2025)

LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models. - Dachuan Shi; Yonggan Fu; Xiangchi Yuan; Zhongzhi Yu; Haoran You; Sixu Li; Xin Dong 009; Jan Kautz; Pavlo Molchanov 001; Yingyan Lin (CoRR, 2025)

Re-CATA: Real-Time and Flexible Accelerator Design Framework for On-Device Codec Avatars. - Yongan Zhang; Yuecheng Li; Syed Shakib Sarwar; Huseyin Ekin Sumbul; Yonggan Fu; Haoran You; Cheng Wan 005; Yingyan Lin (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)