😊 About me

Hello! I am a Lecturer at Hunan Normal University. I received my Ph.D. degree from Hunan University in June 2025, supervised by Prof. Chubo Liu and Prof. Kenli Li. From September 2023 to September 2024, I was a visiting Ph.D. student in the Speech and Language Lab at Nanyang Technological University, supervised by Prof. Eng Siong Chng.

Before this, I completed my master’s degree at Hunan University under the supervision of Prof. Zhe Quan. After my master’s, I worked as an NLP researcher at JD AI Lab in Beijing, mentored by Dr. Meng Chen and Prof. Xiaodong He.

My current research interests mainly include：

• Natural Language Processing
• Large Language Models
• Legal AI
• Multimodal Learning

I enjoy sharing AI knowledge on the Weixin Official Account ‘机器智元’ and my personal blog on ‘CSDN’.

🔥 News

• 2025.10: One paper is accepted by TNNLS 2025.
• 2025.04: One paper is accepted by ICLR 2025.

📝 Publications

• TNNLS 2025 On Imbalance in Case Types: Evaluating and Enhancing PLMs for Criminal Court View Generation, Yuquan Le, Zheng Xiao, Yan Ding, Eng Siong Chng, Kenli Li.
• ICLR 2025 Neural Causal Graph for Interpretable and Intervenable Classification, Jiawei Wang, Shaofei Lu, Da Cao, Dongyu Wang, Yuquan Le, Zhe Quan, Tat-Seng Chua.
• COLING 2025 TermDiffuSum: A Term-guided Diffusion Model for Extractive Summarization of Legal Documents, Xiangyun Dong, Wei Li, Yuquan Le, Zhangyue Jiang, Junxi Zhong and Zhong Wang.
• ESWA 2025 Spatial–temporal video grounding with cross-modal understanding and enhancement, Shu Luo, Jingyu Pan, Da Cao, Jiawei Wang, Yuquan Le, Meng Liu.
• 计算机科学 2025 辅助判决的案情要素关联与证据提取, 刘衍伦, 肖正, 聂振宇, 乐雨泉, 李肯立
• TALSP 2024 R²: A Novel Recall & Ranking Framework for Legal Judgment Prediction, Yuquan Le, Zhe Quan, Jiawei Wang, Da Cao, Kenli Li.
• ESWA 2024 Topology-aware Multi-task Learning Framework for Civil Case Judgment Prediction, Yuquan Le, Sheng Xiao, Zheng Xiao, Kenli Li.
• TNNLS 2024 Graph Reasoning With Supervised Contrastive Learning for Legal Judgment Prediction, Jiawei Wang, Yuquan Le, Da Cao, Shaofei Lu, Zhe Quan, Meng Wang.
• TSC 2023 Loader: A log anomaly detector based on transformer, Tong Xiao, Zhe Quan, Zhi-Jie Wang, Yuquan Le, Yunfei Du, Xiangke Liao, Kenli Li, Keqin Li.
• ACM MM 2023 Deconfounded Multimodal Learning for Spatio-temporal Video Grounding, Jiawei Wang, Zhanchang Ma, Da Cao, Yuquan Le, Junbin Xiao, Tat-Seng Chua.
• ICASSP 2022 Building robust spoken language understanding by cross attention between phoneme sequence and asr hypothesis, Zexun Wang, Yuquan Le, Yi Zhu, Yuming Zhao, Mingchao Feng, Meng Chen, Xiaodong He.
• IDA 2022 IACN: Interactive attention capsule network for similar case matching, Hui Li, Jin Lu, Yuquan Le, Jiawei He.
• JCST 2022 Enhancing N-Gram based metrics with semantics for better evaluation of abstractive text summarization, Jia-Wei He, Wen-Jun Jiang, Guo-Bang Chen, Yu-Quan Le, Xiao-Fei Ding.
• CIKM 2022 Legal charge prediction via bilinear attention network, Yuquan Le, Yuming Zhao, Meng Chen, Zhe Quan, Xiaodong He, Kenli Li.
• ECAI 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.
• AACL 2020 BCTH: A Novel Text Hashing Approach via Bayesian Clustering, Ying Wenjie, Yuquan Le, Hantao Xiong.
• ICANN 2019 SECaps: a sequence enhanced capsule model for charge prediction, Congqing He, Li Peng, Yuquan Le, Jiawei He, Xiangyu Zhu.
• TALSP 2019 An efficient framework for sentence similarity modeling, Zhe Quan, Zhi-Jie Wang, Yuquan Le, Bin Yao, Kenli Li, Jian Yin.
• IJCAI 2018 ACV-tree: A New Method for Sentence Similarity Modeling, Yuquan Le, Zhi-Jie Wang, Zhe Quan, Jiawei He, Bin Yao.

🥇 Honors and Awards

Scholarship

• 2023.09 Awarded by the China Scholarship Council (CSC)
• 2018.11 National Scholarship

📖 Educations

• 2023.09 - 2024.09, CSC visiting Ph.D. student, Nanyang Technological University, Singapore.
• 2021.09 - now, Ph.D. Candidate, Hunan University, Hunan.
• 2016.06 - 2019.04, Master, Hunan University, Hunan.
• 2012.09 - 2016.06, Undergraduate, Nanchang university, Nanchang.

💻 Internships and Works

• 2019.07 - 2021.09, JD AI Lab, Beijing, China.
• 2018.07 - 2018.09, CVTE AI Lab, Guangzhou, China.

💬 Invited Talks

• 2022.10, Legal charge prediction via bilinear attention network, CIKM, Atlanta, USA, Online.
• 2020.10, BCTH: A Novel Text Hashing Approach via Bayesian Clustering, AACL, Online.

📚 Academic Services

Conference/ Journal Reviewers

• IEEE/ACM Transactions on Audio, Speech, and Language Processing
• Expert Systems with Applications
• Artificial Intelligence Review
• Engineering Applications of Artificial Intelligence
• CAAI Transactions on Artificial Intelligence
• Neurocomputing

🏆 Competitions

• 2023, 中国法律智能技术评测CAIL 2023-类案检索赛道 二等奖. (排名2)
• 2022, 中国法律智能技术评测CAIL 2022-涉法舆情摘要赛道 三等奖. (排名2)
• 2022, 中国法律智能技术评测CAIL 2022-司法考试赛道 三等奖. (排名1)
• 2021, 中国法律智能技术评测CAIL 2021-论辩理解赛道 一等奖. (排名1)
• 2021, 中国法律智能技术评测CAIL 2021-司法考试赛道 二等奖. (排名1)
• 2021, 中国法律智能技术评测CAIL 2021-类案检索赛道 三等奖. (排名1)
• 2020, 中国法研杯CAIL 2020-司法摘要赛道 三等奖. (排名2)
• 2019, 中国法研杯CAIL 2019-相似案例匹配赛道 三等奖. (排名3)
• 2018, “AIIA”杯-国家电网-电力专业领域词汇挖掘 5st/451. (排名4)
• 2018, “达观杯”文本智能处理挑战赛 季军(4st/3131). (排名3).
• 2015, 第七届全国大学生高等数学竞赛（非数学类）一等奖

📚 Patents

• 模型训练方法、装置及意图识别方法、装置. CN112380861B. (排名1)
• 意图识别模型的训练方法及装置、意图识别方法及装置. CN112347760B. (排名1)
• 意图识别模型的训练及意图识别方法、装置、存储介质. CN112364664B. (排名1)
• 一种基于大型系统拓扑结构的容错节点分配方法. CN107908502B. (排名2)
• 一种基于词向量的句子相似度比较方法. CN107844608B. (排名2)
• 针对分离约束背包问题的一种协同的并行邻域搜索方法. CN108009013A (排名3)
• 获取文本对应的行为信息的方法和装置. CN112579746B. (排名3)
• 一种确定事件主体的方法和装置. CN111368551B. (排名3)
• 一种基于元学习的少样本分类方法. CN113535953B. (排名3)
• 一种意图识别方法、装置及相关设备. CN114220417B. (排名3)
• 一种基于分布校准的小样本实体关系抽取方法. CN114328921B. (排名3)
• 一种基于深度学习的药物活性预测方法. CN109033738B. (排名4)