Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales. - Cheng Wan 005; Andrew W. McHill; Elizabeth B. Klerman; Akane Sano (CoRR, 2019)

Sensor-Based Estimation of Dim Light Melatonin Onset Using Features of Two Time Scales. - Cheng Wan 005; Andrew W. McHill; Elizabeth B. Klerman; Akane Sano (ACM Trans. Comput. Heal., 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)

PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. - Cheng Wan 005; Youjie Li; Cameron R. Wolfe; Anastasios Kyrillidis; Nam Sung Kim; 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)

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)

BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling. - Cheng Wan 005; Youjie Li; Ang Li 006; Nam Sung Kim; Yingyan Lin (MLSys, 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)

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)

Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction. - Sixu Li; Chaojian Li; Wenbo Zhu; Boyang Tony Yu; Yang Katie Zhao; Cheng Wan 005; Haoran You; Huihong Shi; Yingyan Celine Lin (ISCA, 2023)

A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware. - Shichang Zhang; Atefeh Sohrabizadeh; Cheng Wan 005; Zijie Huang 002; Ziniu Hu; Yewen Wang; Yingyan Lin; Jason Cong; Yizhou Sun (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)

3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits. - Yujie Zhao; Yang Katie Zhao; Cheng Wan 005; Yingyan Celine Lin (DAC, 2024)

Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. - Meng Zhang; Qinghao Hu 004; Cheng Wan 005; Haozhao Wang; Peng Sun 006; Yonggang Wen 001; Tianwei Zhang 001 (ICDE, 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)

Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering. - Sixu Li; Yang Zhao 013; Chaojian Li; Bowei Guo; Jingqun Zhang; Wenbo Zhu; Zhifan Ye; Cheng Wan 005; Yingyan Celine Lin (MICRO, 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)

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)

MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators. - Cheng Wan 005; Runkai Tao; Zheng Du; Yang Katie Zhao; Yingyan Celine Lin (CoRR, 2025)

Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling. - Chaojian Li; Zhifan Ye; Massimiliano Lupo Pasini; Jong Youl Choi; Cheng Wan 005; Yingyan Celine Lin; Prasanna Balaprakash (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)