Shang Li

Orcid: 0000-0001-9964-8330

Affiliations:
  • Harbin Institute of Technology, School of Computer Science and Technology, China


According to our database1, Shang Li authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Kalt: generating adversarial explainable chinese legal texts.
Mach. Learn., September, 2024

2023
Multi-label classification of legal text based on label embedding and capsule network.
Appl. Intell., March, 2023

2021
TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases.
Appl. Intell., 2021

2020
TenRR: An Approach Based on Innovative Tensor Decomposition and Optimized Ridge Regression for Judgment Prediction of Legal Cases.
IEEE Access, 2020

2019
Learning Users' Intention of Legal Consultation through Pattern-Oriented Tensor Decomposition with Bi-LSTM.
Wirel. Commun. Mob. Comput., 2019

RnRTD: Intelligent Approach Based on the Relationship-Driven Neural Network and Restricted Tensor Decomposition for Multiple Accusation Judgment in Legal Cases.
Comput. Intell. Neurosci., 2019

MANN: A Multichannel Attentive Neural Network for Legal Judgment Prediction.
IEEE Access, 2019

Element-Aware Legal Judgment Prediction for Criminal Cases with Confusing Charges.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Legal Case Inspection: An Analogy-Based Approach to Judgment Evaluation.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

RnnTd: An Approach Based on LSTM and Tensor Decomposition for Classification of Crimes in Legal Cases.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

2018
Hermes: A Privacy-Preserving Approximate Search Framework for Big Data.
IEEE Access, 2018

Evaluating the Rationality of Judicial Decision with LSTM-Based Case Modeling.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

2017
An approximate search framework for big data.
Proceedings of the IEEE International Conference on Communications, 2017


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