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2026

Legal knowledge infusion for large language models: A surveyQian Liu 0012, Hang Yu 0006, Qiqi Wang, Qi Xu, Jinpeng Li, Zhuoqun Zou, Rui Mao 0010, Erik Cambria. inffus, 125:103426, 2026. [doi]

2025

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical FormsJianqi Gao 0001, Jian Cao 0001, Ranran Bu, Nengjun Zhu, Wei Guan 0006, Hang Yu 0006. AAAI 2025: 23914-23922 [doi]

SENA: Leveraging set-level consistency adversarial learning for robust pre-trained language model adaptationJianqi Gao 0001, Jian Cao 0001, Hang Yu 0006, Yonggang Zhang 0003, Zhen Fang 0001. kbs, 324:113831, 2025. [doi]

Shaping pre-trained language models for task-specific embedding generation via consistency calibrationJianqi Gao 0001, Hang Yu 0006, Yiu-ming Cheung, Jian Cao 0001, Raymond Chi-Wing Wong, Yonggang Zhang 0003. NN, 191:107754, 2025. [doi]

Emotion inference of text based on counterfactual behavior knowledgeXinzhi Wang 0001, Jiayan Qian, Yudong Chang, Hang Yu 0006, Hui Zhang 0016. inffus, 120:103060, 2025. [doi]

Towards Fraud Detection via Fine-Grained Classification of User BehaviorXinzhi Wang 0001, Hang Yu 0006, Jiayu Guo, Pengbo Li, Xiangfeng Luo. tbd, 11(4):1994-2007, August 2025. [doi]

CAMeL: Cross-Modality Adaptive Meta-Learning for Text-Based Person RetrievalHang Yu 0006, Jiahao Wen, Zhedong Zheng. tifs, 20:4651-4663, 2025. [doi]

CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming DataHang Yu 0006, Jiahao Wen, Yiping Sun, Xiao Wei 0002, Jie Lu 0001. tcyb, 55(2):684-697, February 2025. [doi]

Zero-shot sim-to-real transfer using Siamese-Q-Based reinforcement learningZhenyu Zhang 0013, Shaorong Xie, Han Zhang, Xiangfeng Luo, Hang Yu 0006. inffus, 114:102664, 2025. [doi]

Spatial-temporal intention representation with multi-agent reinforcement learning for unmanned surface vehicles strategies learning in asset guarding taskYang Li 0151, Shaorong Xie, Hang Yu 0006, Han Zhang, Zhenyu Zhang, Xiangfeng Luo. eaai, 145:110120, 2025. [doi]

Contrastive zero-shot relational learning for knowledge graph completionZhiyi Fang, Hang Yu 0006, Changhua Xu, Zhuofeng Li, Jie Ying, Shaorong Xie. kbs, 320:113425, 2025. [doi]

Respiratory Sound Classification via Multi-view Feature Fusion with Enhanced Convolutional Neural Network and Audio Spectrogram TransformerJiawei Fu, Xiangfeng Luo, Jiajun Yuan, Hang Yu 0006. icic 2025: 277-288 [doi]

Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited LabelsPengbo Li, Hang Yu 0006, Xiangfeng Luo. AAAI 2025: 12112-12120 [doi]

Federated Graph Anomaly Detection via Disentangled Representation LearningZhengyang Liu, Hang Yu 0006, Xiangfeng Luo. WWW 2025: 1216-1224 [doi]

A Noise-Resistant Model for Graph-based Fraud DetectionZhengyang Liu, Hang Yu 0006, Xiangfeng Luo. ipm, 62(5):104198, 2025. [doi]

Improving inference via rich path information and logic rules for document-level relation extractionHuizhe Su, Shaorong Xie, Hang Yu 0006, Changsen Yuan, Xinzhi Wang 0001, Xiangfeng Luo. kais, 67(5):4207-4231, May 2025. [doi]

An Adaptive Meta-Reinforcement Learning Algorithm for Simulation to Reality in Dynamic SceneWenwen Xiao, Xiangfeng Luo, Shaorong Xie, Hang Yu 0006. tiv, 10(2):1168-1183, February 2025. [doi]

Synthesizing global and local perspectives in contrastive learning for graph anomaly detectionQiqi Yang, Hang Yu 0006, Zhengyang Liu, Pengbo Li, Xue Chen, Xiangfeng Luo. kbs, 315:113289, 2025. [doi]

Density-Aware Early Fusion for Vehicle Collaborative PerceptionWenbin Yang, Hang Yu 0006, Xiangfeng Luo, Shaorong Xie. itsm, 17(2):33-47, March - April 2025. [doi]

2024

Enhancing Pre-trained Deep Learning Model with Self-Adaptive ReflectionXinzhi Wang 0001, Mengyue Li, Hang Yu 0006, Chenyang Wang, Vijayan Sugumaran, Hui Zhang 0016. cogcom, 16(6):3468-3483, November 2024. [doi]

Multi-Label Text Classification Model Based on Multi-Level Constraint Augmentation and Label Association AttentionXiao Wei 0002, Jianbao Huang, Rui Zhao, Hang Yu 0006, Zheng Xu. talip, 23(1), January 2024. [doi]

Shadow-Enlightened Image OutpaintingHang Yu 0006, Ruilin Li, Shaorong Xie, Jiayan Qiu. cvpr 2024: 7850-7860 [doi]

Barely Supervised Learning for Graph-Based Fraud DetectionHang Yu 0006, Zhengyang Liu, Xiangfeng Luo. AAAI 2024: 16548-16557 [doi]

IN-GFD: An Interpretable Graph Fraud Detection Model for Spam ReviewsHang Yu 0006, Weixu Liu, Nengjun Zhu, Pengbo Li, Xiangfeng Luo. tai, 5(10):5325-5339, October 2024. [doi]

Type-LDD: A Type-Driven Lite Concept Drift Detector for Data StreamsHang Yu 0006, Jinpeng Li, Jie Lu 0001, Yiliao Song, Shaorong Xie, Guangquan Zhang 0001. tkde, 36(12):9476-9489, December 2024. [doi]

Cognitive-based knowledge learning framework for recommendationXue Chen, Qichao Liang, Yuanzhu Chen 0001, Peng Wang, Hang Yu 0006, Xiangfeng Luo. kbs, 287:111446, 2024. [doi]

DIE-CDK: A Discriminative Information Enhancement Method With Cross-Modal Domain Knowledge for Fine-Grained Ship DetectionYinsai Guo, Hang Yu 0006, Liyan Ma, Xiangfeng Luo, Shaorong Xie. tcsv, 34(11):10646-10661, November 2024. [doi]

DSCA: A Dual Semantic Correlation Alignment Method for domain adaptation object detectionYinsai Guo, Hang Yu 0006, Shaorong Xie, Liyan Ma, Xinzhi Cao, Xiangfeng Luo. PR, 150:110329, 2024. [doi]

WordTransABSA: Enhancing Aspect-based Sentiment Analysis with masked language modeling for affective token predictionWeiqiang Jin, Biao Zhao, Yu Zhang, Jia Huang, Hang Yu 0006. eswa, 238(Part F):122289, March 2024. [doi]

Concept Drift Adaptation by Exploiting Drift TypeJinpeng Li, Hang Yu 0006, Zhenyu Zhang 0013, Xiangfeng Luo, Shaorong Xie. tkdd, 18(4), May 2024. [doi]

COSIGN: Contextual Facts Guided Generation for Knowledge Graph CompletionJinpeng Li, Hang Yu 0006, Xiangfeng Luo, Qian Liu. naacl 2014: 1669-1682 [doi]

Improving Inference via Rich Path Information for Dialogue Relation ExtractionHuizhe Su, Hang Yu 0006, Yanghao Zhou, Changsen Yuan, Jinpeng Li, Shaorong Xie, Xiangfeng Luo. nlpcc 2025: 205-212 [doi]

Knowledge Graph Reasoning via Dynamic Subgraph Attention with Low Resource ComputationYin Wang, Nan Xia, Hang Yu 0006, Xiangfeng Luo. ijon, 595:127866, 2024. [doi]

Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept driftsYimin Wen, Xiang Liu, Hang Yu 0006. kbs, 293:111636, 2024. [doi]

Divide and Conquer: Legal Concept-guided Criminal Court View GenerationQi Xu, Xiao Wei 0002, Hang Yu 0006, Qian Liu 0012, Hao Fei 0001. emnlp 2024: 3395-3410 [doi]

Geometric relation-based feature aggregation for 3D small object detectionWenbin Yang, Hang Yu 0006, Xiangfeng Luo, Shaorong Xie. apin, 54(19):8924-8938, October 2024. [doi]

Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D SceneRuiyang Zhang, Hu Zhang, Hang Yu 0006, Zhedong Zheng. eccv 2025: 249-266 [doi]

HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for Multi-task LearningYunong Zhang, Xiao Wei 0002, Hang Yu 0006. kbs, 299:112033, 2024. [doi]

2023

Detecting group concept drift from multiple data streamsHang Yu 0006, Weixu Liu, Jie Lu 0001, Yimin Wen, Xiangfeng Luo, Guangquan Zhang 0001. PR, 134:109113, 2023. [doi]

ReGRL: An Informative Graph Representation via Hierarchical Recursive Learning for Legal Case RecommendationXueyuan Chen, Xiao Wei, Hang Yu 0006, Xiangfeng Luo. ijcnn 2023: 1-7 [doi]

THFE: A Triple-hierarchy Feature Enhancement method for tiny boat detectionYinsai Guo, Hang Yu 0006, Liyan Ma, Liang Zeng, Xiangfeng Luo. eaai, 123(Part A):106271, 2023. [doi]

Back to common sense: Oxford dictionary descriptive knowledge augmentation for aspect-based sentiment analysisWeiqiang Jin, Biao Zhao, Liwen Zhang, Chenxing Liu, Hang Yu 0006. ipm, 60(3):103260, May 2023. [doi]

Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoningWeiqiang Jin, Biao Zhao, Hang Yu 0006, Xi Tao, Ruiping Yin, Guizhong Liu. datamine, 37(1):255-288, 2023. [doi]

Fintech Key-Phrase: A New Chinese Financial High-Tech Dataset Accelerating Expression-Level Information RetrievalWeiqiang Jin, Biao Zhao, Yu Zhang, Gege Sun, Hang Yu 0006. talip, 22(11), November 2023. [doi]

LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud DetectionPengbo Li, Hang Yu 0006, Xiangfeng Luo, Jia Wu 0001. tbd, 9(4):1116-1127, August 2023. [doi]

Incremental event detection via an improved knowledge distillation based modelYi Lin, Changhua Xu, Hang Yu 0006, Pinzhuo Tian, Xiangfeng Luo. ijon, 551:126519, September 2023. [doi]

Graph-Based Competence Model for Concept Drift DetectionYiping Sun, Yansen Yu, Cheng Jin, Qingyong Zhang, Weixu Liu, Hang Yu 0006. iske 2023: 529-536 [doi]

Can we improve meta-learning model in few-shot learning by aligning data distributions?Pinzhuo Tian, Hang Yu 0006. kbs, 277:110800, October 2023. [doi]

Event Extraction Based on the Fusion of Dynamic Prompt Information and Multi-Dimensional FeaturesYin Wang, Nan Xia, Xiangfeng Luo, Hang Yu 0006. ijcnn 2023: 1-9 [doi]

DAFS: a domain aware few shot generative model for event detectionNan Xia, Hang Yu 0006, Yin Wang, Junyu Xuan, Xiangfeng Luo. ml, 112(3):1011-1031, March 2023. [doi]

Recurrent prediction model for partially observable MDPsShaorong Xie, Zhenyu Zhang, Hang Yu 0006, Xiangfeng Luo. isci, 620:125-141, 2023. [doi]

2022

Meta-ADD: A meta-learning based pre-trained model for concept drift active detectionHang Yu 0006, Qingyong Zhang, Tianyu Liu, Jie Lu 0001, Yimin Wen, Guangquan Zhang 0001. isci, 608:996-1009, 2022. [doi]

Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy LearningHang Yu 0006, Jie Lu 0001, Anjin Liu, Bin Wang 0045, Ruimin Li, Guangquan Zhang 0001. tits, 23(9):15155-15165, 2022. [doi]

Continuous Support Vector Regression for Nonstationary Streaming DataHang Yu 0006, Jie Lu 0001, Guangquan Zhang 0001. tcyb, 52(5):3592-3605, 2022. [doi]

Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data RegressionHang Yu 0006, Jie Lu 0001, Guangquan Zhang 0001. tfs, 30(2):412-425, 2022. [doi]

MORStreaming: A Multioutput Regression System for Streaming DataHang Yu 0006, Jie Lu 0001, Guangquan Zhang 0001. tsmc, 52(8):4862-4874, 2022. [doi]

Entity Representation by Neighboring Relations Topology for Inductive Relation PredictionZhigui Chen, Hang Yu 0006, Jinpeng Li, Xiangfeng Luo. pricai 2022: 59-72 [doi]

Learning from Suboptimal Demonstration via Trajectory-Ranked Adversarial ImitationLuyao Chen, Shaorong Xie, Tao Pang, Hang Yu 0006, Xiangfeng Luo, Zhenyu Zhang. ictai 2022: 486-493 [doi]

Joint event causality extraction using dual-channel enhanced neural networkJianqi Gao, Hang Yu 0006, Shuang Zhang. kbs, 258:109935, 2022. [doi]

SNSE: State Novelty Sampling ExplorationShaojie Li, Xiangfeng Luo, Zhenyu Zhang, Hang Yu 0006, Shaorong Xie. ccis 2022: 173-180 [doi]

Offline Reinforcement Learning via Policy Regularization and Ensemble Q-FunctionsTao Wang, Shaorong Xie, Mingke Gao, Xue Chen, Zhenyu Zhang, Hang Yu 0006. ictai 2022: 1167-1174 [doi]

Multi-label disaster text classification via supervised contrastive learning for social media dataShaorong Xie, Chunning Hou, Hang Yu 0006, Zhenyu Zhang, Xiangfeng Luo, Nengjun Zhu. cee, 104(Part):108401, 2022. [doi]

ET-HF: A novel information sharing model to improve multi-agent cooperationShaorong Xie, Han Zhang, Hang Yu 0006, Yang Li, Zhenyu Zhang, Xiangfeng Luo. kbs, 257:109916, 2022. [doi]

Transfer Learning for Regression through Adaptive Gaussian ProcessChanghua Xu, Kai Yang, Xue Chen, Xiangfeng Luo, Hang Yu 0006. ictai 2022: 42-47 [doi]

IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event ExtractionZhengming Zhao, Hang Yu 0006, Xiangfeng Luo, Jianqi Gao, Xiao Xu, Shengming Guo. icann 2022: 519-531 [doi]

2021

Streaming Data RegressionHang Yu 0006. PhD thesis, University of Technology Sydney, Australia, 2021. [doi]

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