Liu, Shijie

8 publications

AAAI 2025 Coherency Improved Explainable Recommendation via Large Language Model Shijie Liu, Ruixin Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang

NeurIPS 2025 Fortifying Time Series: DTW-Certified Robust Anomaly Detection Shijie Liu, Tansu Alpcan, Christopher Leckie, Sarah Monazam Erfani

ICLR 2025 Multi-Level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning Shijie Liu, Andrew Craig Cullen, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein

ICML 2024 Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples Andrew Craig Cullen, Shijie Liu, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein

AAAI 2023 Enhancing the Antidote: Improved Pointwise Certifications Against Poisoning Attacks Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein

NeurIPS 2022 Double Bubble, Toil and Trouble: Enhancing Certified Robustness Through Transitivity Andrew Cullen, Paul Montague, Shijie Liu, Sarah Erfani, Benjamin I. Rubinstein

NeurIPSW 2019 Semantic Structure Extraction for Spreadsheet Tables with a Multi-Task Learning Architecture Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang

AAAI 2019 TableSense: Spreadsheet Table Detection with Convolutional Neural Networks Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang