Enhancing Neural Network Reliability: Insights From Hardware/Software Collaboration With Neuron Vulnerability Quantization.
IEEE Trans. Computers, August, 2024
TAKE: Tracing Associative Empathy Keywords for Generating Empathetic Responses Based on Graph Attention.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024
ECFuzz: Effective Configuration Fuzzing for Large-Scale Systems.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
Absolute Structure Determination of Chiral Zinc Tartrate MOFs by 3D Electron Diffraction.
Symmetry, April, 2023
AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023
Rethinking Training Objective For Self-Supervised Monocular Depth Estimation: Semantic Cues To Rescue.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Towards Loss Balance and Consistent Model in Self-supervised Monocular Depth Estimation.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020
Reliability Enhancement of Neural Networks via Neuron-Level Vulnerability Quantization.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019