Cheng Wan

39 papers A* 11A 1B 1Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR.
HPCA
Zhifan Ye, Yonggan Fu, Jingqun Zhang, Leshu Li, Yongan Zhang, Sixu Li, Cheng Wan, Chenxi Wan, Chaojian Li, Sreemanth Prathipati, Yingyan Celine Lin
2025 J jnl
Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR.
CoRR
Zhifan Ye, Yonggan Fu, Jingqun Zhang, Leshu Li, Yongan Zhang, Sixu Li, Cheng Wan, Chenxi Wan, Chaojian Li, Sreemanth Prathipati, Yingyan Celine Lin
2025 — conf
LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering.
ACL (2)
Zhifan Ye, Zheng Wang, Kejing Xia, Jihoon Hong, Leshu Li, Lexington Allen Whalen, Cheng Wan, Yonggan Fu, Yingyan Celine Lin, Souvik Kundu
2025 J jnl
MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators.
CoRR
Cheng Wan, Runkai Tao, Zheng Du, Yang Katie Zhao, Yingyan Celine Lin
2025 J jnl
Re-CATA: Real-Time and Flexible Accelerator Design Framework for On-Device Codec Avatars.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yongan Zhang, Yuecheng Li, Syed Shakib Sarwar, Huseyin Ekin Sumbul, Yonggan Fu, Haoran You, Cheng Wan, Yingyan Lin
2025 A* conf
Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling.
DAC
Chaojian Li, Zhifan Ye, Massimiliano Lupo Pasini, Jong Youl Choi, Cheng Wan, Prasanna Balaprakash
2025 J jnl
Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling.
CoRR
Chaojian Li, Zhifan Ye, Massimiliano Lupo Pasini, Jong Youl Choi, Cheng Wan, Yingyan Celine Lin, Prasanna Balaprakash
2024 A* conf
3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits.
DAC
Yujie Zhao, Yang Katie Zhao, Cheng Wan, Yingyan (Celine) Lin
2024 A* conf
Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering.
MICRO
Sixu Li, Yang Zhao, Chaojian Li, Bowei Guo, Jingqun Zhang, Wenbo Zhu, Zhifan Ye, Cheng Wan, Yingyan Celine Lin
2024 J jnl
MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation.
CoRR
Yongan Zhang, Zhongzhi Yu, Yonggan Fu, Cheng Wan, Yingyan Celine Lin
2024 A* conf
Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training.
ICDE
Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang
2024 B conf
Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI.
ISPASS
Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Ananda Samajdar, Yingyan Celine Lin, Tushar Krishna, Arijit Raychowdhury
2024 J jnl
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI.
CoRR
Zishen Wan, Che-Kai Liu, Hanchen Yang, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Tushar Krishna, Yingyan Lin, Arijit Raychowdhury
2024 J jnl
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture.
CoRR
Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Sixu Li, Youbin Kim, Ananda Samajdar, Yingyan Celine Lin, Mohamed Ibrahim, Jan M. Rabaey, Tushar Krishna, Arijit Raychowdhury
2024 J jnl
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture.
IEEE Trans. Circuits Syst. Artif. Intell.
Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Sixu Li, Youbin Kim, Ananda Samajdar, Yingyan Lin, Mohamed Ibrahim, Jan M. Rabaey, Tushar Krishna, Arijit Raychowdhury
2023 J jnl
3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits.
CoRR
Yujie Zhao, Yang Zhao, Cheng Wan, Yingyan Lin
2023 J jnl
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware.
CoRR
Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan Lin, Jason Cong, Yizhou Sun
2023 J jnl
EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design.
IEEE Micro
Haoran You, Yang Zhao, Cheng Wan, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Celine Lin
2023 A conf
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models.
ICCAD
Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Celine Lin
2023 J jnl
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models.
CoRR
Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Lin
2023 A* conf
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction.
ISCA
Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Katie Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan (Celine) Lin
2023 J jnl
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction.
CoRR
Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan Lin
2023 A* conf
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning.
ICML
Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine Lin
2022 — conf
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling.
MLSys
Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
2022 J jnl
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling.
CoRR
Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
2022 A* conf
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks.
ICML
Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
2022 J jnl
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks.
CoRR
Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
2022 J jnl
EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm & Accelerator Co-Design.
CoRR
Haoran You, Cheng Wan, Yang Zhao, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Lin
2022 A* conf
EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design.
ISCA
Haoran You, Cheng Wan, Yang Zhao, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Lin
2022 A* conf
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
ICLR
Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin
2022 J jnl
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
CoRR
Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin
2022 A* conf
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication.
ICLR
Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
2022 J jnl
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication.
CoRR
Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
2022 — conf
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.
VLSI Technology and Circuits
Yang Zhao, Yongan Zhang, Yonggan Fu, Xu Ouyang, Cheng Wan, Shang Wu, Anton Banta, Mathews M. John, Allison Post, Mehdi Razavi, Joseph R. Cavallaro, Behnaam Aazhang, Yingyan Lin
2022 J jnl
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.
CoRR
Yang Zhao, Yongan Zhang, Yonggan Fu, Xu Ouyang, Cheng Wan, Shang Wu, Anton Banta, Mathews M. John, Allison Post, Mehdi Razavi, Joseph R. Cavallaro, Behnaam Aazhang, Yingyan Lin
2022 — conf
i-FlatCam: A 253 FPS, 91.49 µJ/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR.
VLSI Technology and Circuits
Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin
2022 J jnl
i-FlatCam: A 253 FPS, 91.49 μJ/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR.
CoRR
Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin
2021 J jnl
Sensor-Based Estimation of Dim Light Melatonin Onset Using Features of Two Time Scales.
ACM Trans. Comput. Heal.
Cheng Wan, Andrew W. McHill, Elizabeth B. Klerman, Akane Sano
2019 J jnl
Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales.
CoRR
Cheng Wan, Andrew W. McHill, Elizabeth B. Klerman, Akane Sano