SECaps: A Sequence Enhanced Capsule Model for Charge Prediction. - Congqing He; Li Peng; Yuquan Le; Jiawei He 003 (CoRR, 2018)

SECaps: A Sequence Enhanced Capsule Model for Charge Prediction. - Congqing He; Li Peng; Yuquan Le; Jiawei He 003; Xiangyu Zhu (ICANN (4), 2019)

Dynamically Weighted Multi-View Semi-Supervised Learning for CAPTCHA. - Congqing He; Li Peng; Yuquan Le; Jiawei He 003 (PAKDD (2), 2019)

Learning to Predict Charges for Legal Judgment via Self-Attentive Capsule Network. - Yuquan Le; Congqing He; Meng Chen 006; Youzheng Wu; Xiaodong He 001; Bowen Zhou 001 (ECAI, 2020)

A Novel Sequence Tagging Framework for Consumer Event-Cause Extraction. - Congqing He; Jie Zhang; Xiangyu Zhu; Huan Liu; Yukun Huang (CoRR, 2021)

Knowledge-Enriched Multi-Cross Attention Network for Legal Judgment Prediction. - Congqing He; Tien-Ping Tan; Xiaobo Zhang; Sheng Xue (IEEE Access, 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., 2023)

An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions. - Hao Zhang 132; Yu-N Cheah; Congqing He; Feifan Yi (EMNLP (Findings), 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)

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)

Can GPT-O1 Kill All Bugs? An Evaluation of GPT-Family LLMs on QuixBugs. - Haichuan Hu; Ye Shang; Guolin Xu; Congqing He; Quanjun Zhang (APR@ICSE, 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)

Few-Shot Steel Strip Surface Defect Classification via Self-Correlation Enhancement and Feature Refinement. - Ke Gong; Ding Xu; Fusen Guo; Zihan Wang; Fangrui Zhang; Congqing He (IEEE Trans. Instrum. Meas., 2025)

APRMCTS: Improving LLM-based Automated Program Repair with Iterative Tree Search. - Haichuan Hu; Congqing He; Hao Zhang; Xiaochen Xie; Quanjun Zhang (CoRR, 2025)

ESNERA: Empirical and semantic named entity alignment for named entity dataset merging. - Xiaobo Zhang; Congqing He; Ying He; Jian Peng; Dajie Fu; Tien-Ping Tan (CoRR, 2025)