Chao Chen
Orcid: 0000-0001-6488-224XAffiliations:
- Shenzhen Institutes of Advanced Technology (SIAT), CAS, China
According to our database1,
Chao Chen
authored at least 23 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Tensor Manipulation Unit (TMU): Reconfigurable, Near-Memory Tensor Manipulation for High-Throughput AI SoC.
CoRR, June, 2025
Proceedings of the 2025 USENIX Annual Technical Conference, 2025
AttenPU: An Area Efficient Attention Processor with Reconfigurable FP8 Precision and Dataflow.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025
2024
TIE: Fast Experiment-Driven ML-Based Configuration Tuning for In-Memory Data Analytics.
IEEE Trans. Computers, May, 2024
AnchorCapsule: A Datastream-Serving Post-Processor for Object Detection in Embedded Vision SoC.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024
Harmonizing Unets: Attention Fusion module in cascaded-Unets for low-quality OCT image fluid segmentation.
Comput. Biol. Medicine, 2024
Low-latency Buffering for Mixed-precision Neural Network Accelerator with MulTAP and FQPipe.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
PerFT-N: Low-overhead Permanent Fault-Tolerance Mechanism for Neural Processing Units.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024
2023
COMPACT: Co-processor for Multi-mode Precision-adjustable Non-linear Activation Functions.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
2022
An Energy-Efficient Method for Recurrent Neural Network Inference in Edge Cloud Computing.
Symmetry, 2022
2021
sEMG-Based Gesture Recognition Using GRU With Strong Robustness Against Forearm Posture.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
CNN-DMA: A Predictable and Scalable Direct Memory Access Engine for Convolutional Neural Network with Sliding-window Filtering.
Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021
OR-ML: Enhancing Reliability for Machine Learning Accelerator with Opportunistic Redundancy.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
Proceedings of the AISS 2021: 3rd International Conference on Advanced Information Science and System, Sanya, China, November 26, 2021
Improving system latency of AI accelerator with on-chip pipelined activation preprocessing and multi-mode batch inference.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
Accelerating Atrous Convolution with Fetch-and-Jump Architecture for Activation Positioning.
Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020
BBS: Micro-Architecture Benchmarking Blockchain Systems through Machine Learning and Fuzzy Set.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020
Proceedings of the CCRIS 2020: International Conference on Control, 2020
2014
Proceedings of the Great Lakes Symposium on VLSI 2014, GLSVLSI '14, Houston, TX, USA - May 21, 2014
2013
Proceedings of the International Symposium on Quality Electronic Design, 2013
Accurate and efficient reliability estimation techniques during ADL-driven embedded processor design.
Proceedings of the Design, Automation and Test in Europe, 2013