Simulation Study on University-Industry Cooperative Innovation Based on Multi-agent Method. - Dongsheng Yang; Yongan Zhang (CSSE (1), 2008)

Percolation on the institute-enterprise R&D collaboration networks. - Chenguang Li; Yongan Zhang (CoRR, 2013)

Analysis on the Overall Level of Regional Innovation Environment in China. - Yongan Zhang; Pei Hu (ICEBT, 2018)

Visual Analysis of Business Model Innovation Research Based on Citespace. - Yongan Zhang; Mingming Lu (ICEBT, 2018)

Review of Business Model Innovation. - Yongan Zhang; Tianyue Zhang (ICEME, 2019)

AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. - Pengfei Xu 011; Xiaofan Zhang 001; Cong Hao; Yang Zhao 013; Yongan Zhang; Yue Wang 036; Chaojian Li; Zetong Guan; Deming Chen; Yingyan Lin (FPGA, 2020)

DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. - Yang Zhao 013; Chaojian Li; Yue Wang 036; Pengfei Xu 011; Yongan Zhang; Yingyan Lin (ICASSP, 2020)

ShiftAddNet: A Hardware-Inspired Deep Network. - Haoran You; Xiaohan Chen; Yongan Zhang; Chaojian Li; Sicheng Li 001; Zihao Liu; 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)

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)

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)

I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. - Tong Geng; Chunshu Wu; Yongan Zhang; Cheng Tan 002; Chenhao Xie 001; Haoran You; Martin C. Herbordt; Yingyan Lin; Ang Li 006 (MICRO, 2021)

Identification of grass growth conditions based on sheep grazing acoustic signals. - Kui Wang; Pei Wu; Chuanzhong Xuan; Yongan Zhang; Ku Bu; Yanhua Ma (Comput. Electron. Agric., 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)

FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks. - Anqi Guo; Tong Geng; Yongan Zhang; Pouya Haghi; Chunshu Wu; Cheng Tan 002; Yingyan Lin; Ang Li 006; Martin C. Herbordt (FCCM, 2022)

A Framework for Neural Network Inference on FPGA-Centric SmartNICs. - Anqi Guo; Tong Geng; Yongan Zhang; Pouya Haghi; Chunshu Wu; Cheng Tan 002; Yingyan Lin; Ang Li 006; Martin C. Herbordt (FPL, 2022)

GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. - Haoran You; Tong Geng; Yongan Zhang; Ang Li 006; Yingyan Lin (HPCA, 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)

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)

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. - Haoran You; Zhanyi Sun; Huihong Shi; Zhongzhi Yu; Yang Zhao 013; Yongan Zhang; Chaojian Li; Baopu Li; Yingyan Lin (HPCA, 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)

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)

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)

Invited Paper: LLM4HWDesign Contest: Constructing a Comprehensive Dataset for LLM-Assisted Hardware Code Generation with Community Efforts. - Zhongzhi Yu; Chaojian Li; Yongan Zhang; Mingjie Liu; Nathaniel Ross Pinckney; Wenfei Zhou; Haoyu Yang; Rongjian Liang; Haoxing Ren; Yingyan Celine Lin (ICCAD, 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)

3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning. - Zhifan Ye; Chenxi Wan; Chaojian Li; Jihoon Hong; Sixu Li; Leshu Li; Yongan Zhang; Yingyan (Celine) Lin (NeurIPS, 2024)

A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTM. - Yongan Zhang; Junfeng Zhao; Jian Li; Xuanran Wang; Youzhuang Sun; Yuntian Chen; Dongxiao Zhang (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)

Application of Adaboost-Transformer Algorithm for Lithology Identification Based on Well Logging Data. - Youzhuang Sun; Shanchen Pang; Yongan Zhang (IEEE Geosci. Remote. Sens. Lett., 2024)

DRSN-GAF: Deep Residual Shrinkage Network (DRSN) for Lithology Classification Through Well Logging Data Transformed by Gram Angle Field. - Youzhuang Sun; Shanchen Pang; Junhua Zhang; Yongan Zhang (IEEE Geosci. Remote. Sens. Lett., 2024)

AutoAI2C: An Automated Hardware Generator for DNN Acceleration on Both FPGA and ASIC. - Yongan Zhang; Xiaofan Zhang 001; Pengfei Xu 011; Yang Zhao 013; Cong Hao; Deming Chen; Yingyan Lin (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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)

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)