Yu Li

Information Bottleneck Approach to Spatial Attention Learning

Qiuxia Lai, Ailing Zeng, Qiang Xu, 2021, IJCAI.

An Empirical Study on the Efficacy of Deep Active Learning for Image Classification

Qiang Xu, Yannan Liu, Mu-Hwa Chen, 2022, ArXiv.

DeepDyve: Dynamic Verification for Deep Neural Networks

Yu Li, Ye Tian, Bo Luo, 2020, CCS.

On Workload-Aware DRAM Failure Prediction in Large-Scale Data Centers

Xin Li, Cheng He, Yu Li, 2021, 2021 IEEE 39th VLSI Test Symposium (VTS).

MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis

Qiang Xu, Qiuxia Lai, Ruiyuan Gao, 2021, ArXiv.

TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks pdf

Qiuxia Lai, Qiang Xu, Min Li, 2021, NeurIPS.

EXPERT: EXPloiting DRAM ERror Types to Improve the Effective Forecasting Coverage in the Field

Qiang Xu, Ming-Chang Yang, Xiangjun Peng, 2023, 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S).

AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference

Ye Tian, Qiang Xu, Min Li, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).

Towards Robust Deep Neural Networks Against Design-Time and Run-Time Failures

Yu Li, Qiang Xu, 2023, 2023 IEEE International Test Conference (ITC).