Congqing He

According to our database, Congqing He authored at least 12 papers between 2018 and 2025.

Collaborative distances:

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

2025

Simulating judicial trial logic: Dual residual cross-attention learning for predicting legal judgment in long documents.

Congqing He, Tien-Ping Tan, Sheng Xue, Yanyu Tan

Expert Syst. Appl., 2025

2024

Can GPT-O1 Kill All Bugs? An Evaluation of GPT-Family LLMs on QuixBugs.

Haichuan Hu, Ye Shang, Guolin Xu, Congqing He, Quanjun Zhang

CoRR, 2024

SEBERTNets: Sequence Enhanced BERT Networks for Event Entity Extraction Tasks Oriented to the Finance Field.

Congqing He, Xiangyu Zhu, Yuquan Le, Yuzhong Liu, Jianhong Yin

CoRR, 2024

Interactive Attention-Based Capsule Network for Click-Through Rate Prediction.

Sheng Xue, Congqing He, Zhuxuan Hua, Songtian Li, Guangwei Wang, Liwen Cao

IEEE Access, 2024

An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions.

Hao Zhang, Yu-N Cheah, Congqing He, Feifan Yi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Explaining legal judgments: A multitask learning framework for enhancing factual consistency in rationale generation.

Congqing He, Tien-Ping Tan, Sheng Xue, Yanyu Tan

J. King Saud Univ. Comput. Inf. Sci., December, 2023

Knowledge-Enriched Multi-Cross Attention Network for Legal Judgment Prediction.

Congqing He, Tien-Ping Tan, Xiaobo Zhang, Sheng Xue

IEEE Access, 2023

2021

A Novel Sequence Tagging Framework for Consumer Event-Cause Extraction.

Congqing He, Jie Zhang, Xiangyu Zhu, Huan Liu, Yukun Huang

CoRR, 2021

2020

Learning to Predict Charges for Legal Judgment via Self-Attentive Capsule Network.

Yuquan Le, Congqing He, Meng Chen, Youzheng Wu, Xiaodong He, Bowen Zhou

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Dynamically Weighted Multi-View Semi-Supervised Learning for CAPTCHA.

Congqing He, Li Peng, Yuquan Le, Jiawei He

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

SECaps: A Sequence Enhanced Capsule Model for Charge Prediction.

Congqing He, Li Peng, Yuquan Le, Jiawei He, Xiangyu Zhu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018

SECaps: A Sequence Enhanced Capsule Model for Charge Prediction.

Congqing He, Li Peng, Yuquan Le, Jiawei He

CoRR, 2018