Cheng Wan

Orcid: 0000-0002-2295-3481

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture.
CoRR, 2024

MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation.
CoRR, 2024

Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI.
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

Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI.
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

3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits.
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

Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
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


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