Congqing He

18 papers A 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A survey of large language models for legal tasks: Progress, prospects and challenges.
Comput. Sci. Rev.
Congqing He, Haichuan Hu, Yanli Li, Hao Zhang, Quanjun Zhang
2026 J jnl
CL4SE: A Context Learning Benchmark For Software Engineering Tasks.
CoRR
Haichuan Hu, Ye Shang, Guoqing Xie, Congqing He, Quanjun Zhang
2025 J jnl
APRMCTS: Improving LLM-based Automated Program Repair with Iterative Tree Search.
CoRR
Haichuan Hu, Congqing He, Hao Zhang, Xiaochen Xie, Quanjun Zhang
2025 — conf
Can GPT-O1 Kill All Bugs? An Evaluation of GPT-Family LLMs on QuixBugs.
APR@ICSE
Haichuan Hu, Ye Shang, Guolin Xu, Congqing He, Quanjun Zhang
2025 J jnl
ESNERA: Empirical and semantic named entity alignment for named entity dataset merging.
CoRR
Xiaobo Zhang, Congqing He, Ying He, Jian Peng, Dajie Fu, Tien-Ping Tan
2025 J jnl
Few-Shot Steel Strip Surface Defect Classification via Self-Correlation Enhancement and Feature Refinement.
IEEE Trans. Instrum. Meas.
Ke Gong, Ding Xu, Fusen Guo, Zihan Wang, Fangrui Zhang, Congqing He
2025 J jnl
Simulating judicial trial logic: Dual residual cross-attention learning for predicting legal judgment in long documents.
Expert Syst. Appl.
Congqing He, Tien-Ping Tan, Sheng Xue, Yanyu Tan
2024 — conf
An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions.
EMNLP (Findings)
Hao Zhang, Yu-N Cheah, Congqing He, Feifan Yi
2024 J jnl
Can GPT-O1 Kill All Bugs? An Evaluation of GPT-Family LLMs on QuixBugs.
CoRR
Haichuan Hu, Ye Shang, Guolin Xu, Congqing He, Quanjun Zhang
2024 J jnl
Interactive Attention-Based Capsule Network for Click-Through Rate Prediction.
IEEE Access
Sheng Xue, Congqing He, Zhuxuan Hua, Songtian Li, Guangwei Wang, Liwen Cao
2024 J jnl
SEBERTNets: Sequence Enhanced BERT Networks for Event Entity Extraction Tasks Oriented to the Finance Field.
CoRR
Congqing He, Xiangyu Zhu, Yuquan Le, Yuzhong Liu, Jianhong Yin
2023 J jnl
Explaining legal judgments: A multitask learning framework for enhancing factual consistency in rationale generation.
J. King Saud Univ. Comput. Inf. Sci.
Congqing He, Tien-Ping Tan, Sheng Xue, Yanyu Tan
2023 J jnl
Knowledge-Enriched Multi-Cross Attention Network for Legal Judgment Prediction.
IEEE Access
Congqing He, Tien-Ping Tan, Xiaobo Zhang, Sheng Xue
2021 J jnl
A Novel Sequence Tagging Framework for Consumer Event-Cause Extraction.
CoRR
Congqing He, Jie Zhang, Xiangyu Zhu, Huan Liu, Yukun Huang
2020 A conf
Learning to Predict Charges for Legal Judgment via Self-Attentive Capsule Network.
ECAI
Yuquan Le, Congqing He, Meng Chen, Youzheng Wu, Xiaodong He, Bowen Zhou
2019 — conf
Dynamically Weighted Multi-View Semi-Supervised Learning for CAPTCHA.
PAKDD (2)
Congqing He, Li Peng, Yuquan Le, Jiawei He
2019 — conf
SECaps: A Sequence Enhanced Capsule Model for Charge Prediction.
ICANN (4)
Congqing He, Li Peng, Yuquan Le, Jiawei He, Xiangyu Zhu
2018 J jnl
SECaps: A Sequence Enhanced Capsule Model for Charge Prediction.
CoRR
Congqing He, Li Peng, Yuquan Le, Jiawei He