I am currently pursuing a Ph.D. at Universiti Sains Malaysia, focusing on deep learning, natural language processing, information retrieval, and their applications in AI4law.

Education

• 03.2021-present Ph.D. candidate, School of Computer Science, Universiti Sains Malaysia, Malaysia.
• 09.2016-06.2019 M.S., College of Computer Science and Electroic Engineering, Hunan University, China.
• 09.2012-06.2016 B.S., School of Computer Science and Technology, Hefei Normal University, China.

Work experience

• 06.2019-10.2020, Algorithm Engineer. JD, Beijing, China.

Publications

• Simulating Judicial Trial Logic: Dual Residual Cross-Attention Learning for Predicting Legal Judgment in Long Documents, Congqing He, Tienping Tan, Sheng Xue, Yanyu Tan. Expert Systems with Applications (ESWA), 2025. (JCR Q1, IF: 7.5)

• SCNet: Few-Shot Image Classification via Self-Correlational and Cross Spatial-Correlation Attention, Congqing He, Ding Xu, Ke Gong, Fusen Guo, Dapeng Wei. Engineering Science and Technology, an International Journal, 2025. (JCR Q1, IF: 5.1)

• 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@ICSE2025, ICSE2025 Workshop)

• 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. EMNLP 2024 Findings (CCF B)

• Explaining legal judgments: A multitask learning framework for enhancing factual consistency in rationale generation, Congqing He, Tienping Tan, Sheng Xue, Yanyu Tan. Journal of King Saud University-Computer and Information Sciences (JKSUCIS), 2023. (JCR Q1, IF: 6.9)

• Knowledge-enriched Multi-Cross Attention Network for Legal Judgment Prediction, Congqing He, Tienping Tan, Xiaobo Zhang, Sheng Xue. IEEE ACCESS, 2023. (JCR Q2, IF: 3.9)

• Learning to Predict Charges for Legal Judgment via Self-Attentive Capsule Network, Yuquan Le*, Congqing He*, Meng Chen, Youzheng Wu, Bowen Zhou. ECAI 2020 (CCF B, Acceptance rate: 26.8%) (*Co-first/Corresponding authors)

• Dynamically Weighted Multi-View Semi-Supervised Learning for CAPTCHA, Congqing He, Li Peng, Yuquan Le, Jiawei He. PAKDD 2019 (CCF C, Acceptance rate: 24.1%)

• SECaps: A Sequence Enhanced Capsule Model for Charge Prediction, Congqing He, Li Peng, Yuquan Le, Jiawei He, Xiangyu Zhu. ICANN 2019 (CCF C)

Selected competitions and awards

• Our team won the 2nd place in (Legal Case Retrieval) of Challenge of AI in Law 2023.
• Our team won the 3rd place in (Consumer Event-Cause Extraction) of IEEE ICDM 2020. Working Notes
• Our team won the 2nd place in (Citation Intent Recognition) of Microsoft DigSci Competition.
• Our team won the 3rd place in (Similar Case Matching) of CCL 2019 & Challenge of AI in Law.

Academic services

• Reviewer, Information Processing & Management
• Reviewer, Humanities & Social Sciences Communications
• Reviewer, Journal of King Saud University – Computer and Information Sciences
• Reviewer, International Journal of Machine Learning and Cybernetics
• Reviewer, Engineering Research Express