Cheng Wan
Orcid: 0000-0002-2295-3481Affiliations:
- Georgia Institute of Technology, School of Computer Science, Atlanta, GA, USA
- Rice University, Department of Electrical and Computer Engineering, Houston, TX, USA (until 2020)
According to our database1,
Cheng Wan
authored at least 21 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2024
Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
2023
EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design.
IEEE Micro, 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware.
CoRR, 2023
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning.
Proceedings of the International Conference on Machine Learning, 2023
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
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.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 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.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022
EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Sensor-Based Estimation of Dim Light Melatonin Onset Using Features of Two Time Scales.
ACM Trans. Comput. Heal., 2021
2019
Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales.
CoRR, 2019