An approximate search framework for big data. - Shang Li 003; Zhigang Zhou; Hongli Zhang 001; Binxing Fang (ICC, 2017)

Evaluating the Rationality of Judicial Decision with LSTM-Based Case Modeling. - Shang Li 003; Hongli Zhang 001; Lin Ye; Xiaoding Guo; Binxing Fang (DSC, 2018)

Hermes: A Privacy-Preserving Approximate Search Framework for Big Data. - Zhigang Zhou; Hongli Zhang 001; Shang Li 003; Xiaojiang Du (IEEE Access, 2018)

RnnTd: An Approach Based on LSTM and Tensor Decomposition for Classification of Crimes in Legal Cases. - Xiaoding Guo; Hongli Zhang 001; Lin Ye; Shang Li 003 (DSC, 2019)

Legal Case Inspection: An Analogy-Based Approach to Judgment Evaluation. - Shang Li 003; Bin Guo; Yilei Cai; Lin Ye; Hongli Zhang 001; Binxing Fang (ICAIS (1), 2019)

Element-Aware Legal Judgment Prediction for Criminal Cases with Confusing Charges. - Shang Li 003; Boyang Liu; Lin Ye; Hongli Zhang 001; Binxing Fang (ICTAI, 2019)

MANN: A Multichannel Attentive Neural Network for Legal Judgment Prediction. - Shang Li 003; Hongli Zhang 001; Lin Ye; Xiaoding Guo; Binxing Fang (IEEE Access, 2019)

RnRTD: Intelligent Approach Based on the Relationship-Driven Neural Network and Restricted Tensor Decomposition for Multiple Accusation Judgment in Legal Cases. - Xiaoding Guo; Hongli Zhang 001; Lin Ye; Shang Li 003 (Comput. Intell. Neurosci., 2019)

Learning Users' Intention of Legal Consultation through Pattern-Oriented Tensor Decomposition with Bi-LSTM. - Xiaoding Guo; Hongli Zhang 001; Lin Ye; Shang Li 003 (Wirel. Commun. Mob. Comput., 2019)

TenRR: An Approach Based on Innovative Tensor Decomposition and Optimized Ridge Regression for Judgment Prediction of Legal Cases. - Xiaoding Guo; Hongli Zhang 001; Lin Ye; Shang Li 003; Guangyao Zhang (IEEE Access, 2020)

TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases. - Xiaoding Guo; Hongli Zhang 001; Lin Ye; Shang Li 003 (Appl. Intell., 2021)

Multi-label classification of legal text based on label embedding and capsule network. - Zhe Chen; Shang Li 003; Lin Ye; Hongli Zhang 001 (Appl. Intell., 2023)

Kalt: generating adversarial explainable chinese legal texts. - Yunting Zhang; Shang Li 003; Lin Ye; Hongli Zhang 001; Zhe Chen; Binxing Fang (Mach. Learn., 2024)

Chinese legal adversarial text generation based on interpretable perturbation strategies. - Yunting Zhang; Lin Ye; Shang Li 003; Yue Wu; Baisong Li; Hongli Zhang 001 (World Wide Web (WWW), 2025)