Congqing He

Congqing He

PhD candidate at Univerisiti Sains Malaysia

About me

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

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

  • Haichuan Hu, Ye Shang, Guolin Xu, Congqing He, Quanjun Zhang. Can GPT-O1 Kill All Bugs? An Evaluation of GPT-Family LLMs on QuixBugs. PrePrint. Paper

  • Hao Zhang, Yu-N Cheah, Congqing He, Feifan Yi. An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions. Findings of the Association for Computational Linguistics: EMNLP 2024 (Findings of EMNLP 2024). Paper

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

  • Congqing He, Tienping Tan, Sheng Xue and Yanyu Tan.Knowledge-enriched Multi-Cross Attention Network for Legal Judgment Prediction. IEEE ACCESS. Paper

  • Yuquan Le, Congqing He*, Meng Chen, Youzheng Wu, and Bowen Zhou. Learning to Predict Charges for Legal Judgment via Self-Attentive Capsule Network. The 24th European Conference on Artificial Intelligence (ECAI2020). Paper

  • Congqing He, Li Peng, Yuquan Le, and Jiawei He. Dynamically Weighted Multi-View Semi-Supervised Learning for CAPTCHA. The 23th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019). Paper

  • Congqing He, Li Peng, Yuquan Le, Jiawei He, and Xiangyu Zhu. SECaps: A Sequence Enhanced Capsule Model for Charge Prediction. The 28th International Conference on Artificial Neural Networks (ICANN 2019). Paper

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

  • Information Processing & Management (Reviewer)
  • Humanities & Social Sciences Communications (Reviewer)