Shining Liang

According to our database, Shining Liang authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dynamic item feature modeling for rating prediction in recommender systems.

Xianglin Zuo, Shining Liang, Xiaosong Yuan, Shuang Yu, Bo Yang

Neurocomputing, September, 2023

Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers.

Nuo Chen, Ning Wu, Shining Liang, Ming Gong, Linjun Shou, Dongmei Zhang, Jia Li

CoRR, 2023

Large Language Models are Diverse Role-Players for Summarization Evaluation.

Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang

Proceedings of the Natural Language Processing and Chinese Computing, 2023

2022

A multi-level neural network for implicit causality detection in web texts.

Shining Liang, Wanli Zuo, Zhenkun Shi, Sen Wang, Junhu Wang, Xianglin Zuo

Neurocomputing, 2022

A Word-Granular Adversarial Attacks Framework for Causal Event Extraction.

Yu Zhao, Wanli Zuo, Shining Liang, Xiaosong Yuan, Yijia Zhang, Xianglin Zuo

Entropy, 2022

Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding.

Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang

CoRR, 2022

Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding.

Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

CalibreNet: Calibration Networks for Multilingual Sequence Labeling.

Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang

Proceedings of the WSDM '21, 2021

Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition.

Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Joint Personalized Markov Chains with social network embedding for cold-start recommendation.

Yijia Zhang, Zhenkun Shi, Wanli Zuo, Lin Yue, Shining Liang, Xue Li

Neurocomputing, 2020

IDDSAM: An Integrated Disease Diagnosis and Severity Assessment Model for Intensive Care Units.

Zhenkun Shi, Wanli Zuo, Shining Liang, Xianglin Zuo, Lin Yue, Xue Li

IEEE Access, 2020

A Review of Dataset and Labeling Methods for Causality Extraction.

Jinghang Xu, Wanli Zuo, Shining Liang, Xianglin Zuo

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

DMMAM: Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis.

Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Yuwei Hao, Shining Liang

Proceedings of the Database Systems for Advanced Applications, 2019

Deep Interpretable Mortality Model for Intensive Care Unit Risk Prediction.

Zhenkun Shi, Weitong Chen, Shining Liang, Wanli Zuo, Lin Yue, Sen Wang

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018

Social Bayesian Personal Ranking for Missing Data in Implicit Feedback Recommendation.

Yijia Zhang, Wanli Zuo, Zhenkun Shi, Lin Yue, Shining Liang

Proceedings of the Knowledge Science, Engineering and Management, 2018