An Improved LDA Multi-document Summarization Model Based on TensorFlow. - Ying Zhong; Zhuo Tang; Xiaofei Ding; Li Zhu; Yuquan Le; Kenli Li 001; Keqin Li 001 (ICTAI, 2017)

CVTE SLU: A Hybrid System for Command Understanding Task Oriented to the Music Field. - Yuquan Le; Xian Li; Suixue Wang; Peng Wang; Haiqian Lin; Guanyu Jiang (CCKS Tasks, 2018)

ACV-tree: A New Method for Sentence Similarity Modeling. - Yuquan Le; Zhi-Jie Wang 009; Zhe Quan; Jiawei He 003; Bin Yao 002 (IJCAI, 2018)

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

Fusing Syntax and Word Embedding Knowledge for Measuring Semantic Similarity. - Zhuo Tang; Li Zhu; Yuquan Le; Kenli Li 001; Colin Cai (HPCC/SmartCity/DSS, 2019)

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)

An Efficient Framework for Sentence Similarity Modeling. - Zhe Quan; Zhi-Jie Wang 009; Yuquan Le; Bin Yao 002; Kenli Li 001; Jian Yin 001 (IEEE ACM Trans. Audio Speech Lang. Process., 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)

BCTH: A Novel Text Hashing Approach via Bayesian Clustering. - Wenjie Ying; Yuquan Le; Hantao Xiong (AACL/IJCNLP, 2020)

Legal Charge Prediction via Bilinear Attention Network. - Yuquan Le; Yuming Zhao; Meng Chen 006; Zhe Quan; Xiaodong He 001; Kenli Li 001 (CIKM, 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 006; Xiaodong He 001 (ICASSP, 2022)

IACN: Interactive attention capsule network for similar case matching. - Hui Li; Jin Lu; Yuquan Le; Jiawei He 003 (Intell. Data Anal., 2022)

Enhancing N-Gram Based Metrics with Semantics for Better Evaluation of Abstractive Text Summarization. - Jiawei He 003; Wenjun Jiang; Guo-Bang Chen; Yuquan Le; Xiaofei Ding (J. Comput. Sci. Technol., 2022)

Deconfounded Multimodal Learning for Spatio-temporal Video Grounding. - Jiawei Wang 025; Zhanchang Ma; Da Cao; Yuquan Le; Junbin Xiao; Tat-Seng Chua (ACM Multimedia, 2023)

Loader: A Log Anomaly Detector Based on Transformer. - Tong Xiao 001; Zhe Quan; Zhi-Jie Wang 009; Yuquan Le; Yunfei Du 001; Xiangke Liao; Kenli Li 001; Keqin Li 001 (IEEE Trans. Serv. Comput., 2023)

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)

$ boldsymbol{R}^{2}$: A Novel Recall & Ranking Framework for Legal Judgment Prediction. - Yuquan Le; Zhe Quan; Jiawei Wang 025; Da Cao; Kenli Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Topology-aware Multi-task Learning Framework for Civil Case Judgment Prediction. - Yuquan Le; Sheng Xiao; Zheng Xiao; Kenli Li 001 (Expert Syst. Appl., 2024)

TermDiffuSum: A Term-guided Diffusion Model for Extractive Summarization of Legal Documents. - Xiangyun Dong; Wei Li; Yuquan Le; Zhangyue Jiang; Junxi Zhong; Zhong Wang (COLING, 2025)

Neural Causal Graph for Interpretable and Intervenable Classification. - Jiawei Wang 025; Shaofei Lu; Da Cao; Dongyu Wang; Yuquan Le; Zhe Quan; Tat-Seng Chua (ICLR, 2025)

Spatial-temporal video grounding with cross-modal understanding and enhancement. - Shu Luo; Jingyu Pan; Da Cao; Jiawei Wang 025; Yuquan Le; Meng Liu 006 (Expert Syst. Appl., 2025)

Graph Reasoning With Supervised Contrastive Learning for Legal Judgment Prediction. - Jiawei Wang 025; Yuquan Le; Da Cao; Shaofei Lu; Zhe Quan; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)