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男,博士,现任上海大学教授,博士生导师,享受伟长学者三级待遇。2021年博士毕业于悉尼科技大学,同年进入上海大学计算机工程与科学学院工作,2022年升任上海大学教授。曾于2021年入选上海市海外高层次人才计划、上海市青年启明星计划,2022年入选国家级青年人才计划。主要工作围绕智能决策、大数据、自然语言处理等新一代信息技术进行研究,以机器学习与智能计算为核心能力重构传统服务方式,为智慧海洋,智慧法律、智慧交通、智慧医疗、智慧金融等行业提供精准、高效的智能化服务。目前以第一或通讯作者共发表SCI/EI论文80余篇,包含本领域的顶级期刊IEEE-TKDE、IEEE-TNNLS、IEEE-TFS、IEEE-TCYB和中国计算机协会推荐的A类会议ACL、AAAI、CVPR、WWW等。并担任ACL, IJCAI, AAAI, EMNLP, IJCNN等国际会议的PC,以及IEEE多个汇刊在内的特约审稿人。
主要研究方向
- 自主智能决策,主要涉及多智能体感知和多智能体信息交互
- 机器学习方法研究,主要涉及增量学习,小样本学习,以及迁移学习
- 计算智能方法研究,主要涉及模糊计算和进化计算
- 自然语言处理,主要涉及事件检测和知识图谱
期刊论文列表
- Zhang Z, Xie S, Zhang H, et al. Zero-shot sim-to-real transfer using Siamese-Q-Based reinforcement learning[J]. Information Fusion (五年影响因子 16.1,中科院1区), 2025, 114: 102664.
- Su H, Xie S, Yu H, et al. Improving inference via rich path information and logic rules for document-level relation extraction[J]. Knowledge and Information Systems (CCF B), 2025: 1-25. 该论文方法在第13届国际自然语言处理与中文计算会议NLPCC竞赛中,获开放测评任务3:对话级别指代消解与关系抽取任务中第一名的好成绩。
- Zhou X, Yu H, Yang S, et al. Learning from Orthogonal Space with Multimodal Large Models for Generalized Few-shot Segmentation[J]. ACM Transactions on Multimedia Computing, Communications and Applications (CCF B), 2025, Early Access
- Wang X, Yu H, Guo J, et al. Towards Fraud Detection Via Fine-Grained Classification of User Behavior[J]. IEEE Transactions on Big Data (影响因子7.5), 2024, Early Access.
- Yu H, Wen J, Sun Y, et al. CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data[J]. IEEE Transactions on Cybernetics (影响因子 9.4,中科院1区), 2024, Early Access.
- Xie S, Li Y, Wang X, et al. Hierarchical relationship modeling in multi-agent reinforcement learning for mixed cooperative–competitive environments[J]. Information Fusion (五年影响因子 16.1,中科院1区), 2024, 108: 102318.
- Xiao W, Luo X, Xie S, et al. An Adaptive Meta-Reinforcement Learning Algorithm for Simulation to Reality in Dynamic Scene[J]. IEEE Transactions on Intelligent Vehicles (影响因子 14,中科院1区), 2024, Early Access.
- Yu H, Liu W, Zhu N, et al. IN-GFD: An interpretable graph fraud detection model for spam reviews[J]. IEEE Transactions on Artificial Intelligence, 2024, Early Access.
- Guo Y, Yu H, Ma L, et al. DIE-CDK: A Discriminative Information Enhancement Method with Cross-modal Domain Knowledge for Fine-grained Ship Detection[J]. IEEE Transactions on Circuits and Systems for Video Technology (影响因子 8.3,中科院1区), 2024, Early Access.
- Zhang Y, Wei X, Yu H. HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for multi-task learning[J]. Knowledge-Based Systems (影响因子 7.2,中科院1区), 2024: 112033.
- Guo Y, Yu H, Xie S, et al. DSCA: A Dual Semantic Correlation Alignment Method for domain adaptation object detection[J]. Pattern Recognition (影响因子 7.5,中科院1区), 2024, 150: 110329.
- Zhang H, Yu H, Wang X, et al. Knowledge-guided communication preference learning model for multi-agent cooperation[J]. Information Sciences (CCF B,中科院1区), 2024, 667: 120395.
- Li J, Yu H, Zhang Z, et al. Concept drift adaptation by exploiting drift type[J]. ACM Transactions on Knowledge Discovery from Data (CCF B), 2024, 18(4): 1-22.
- Wen Y M, Liu X, Yu H. Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts[J]. Knowledge-Based Systems (影响因子 7.2,中科院1区), 2024, 293: 111636.
- Jin W, Zhao B, Zhang Y, et al. WordTransABSA: enhancing Aspect-based Sentiment Analysis with masked language modeling for affective token prediction[J]. Expert Systems with Applications (影响因子7.5, 中科院1区), 2024, 238: 122289.
- Yu H, Li J, Lu J, et al. Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams[J]. IEEE Transactions on Knowledge and Data Engineering (CCF A), 2023.
- Jin W, Zhao B, Zhang L, et al. Back to common sense: Oxford dictionary descriptive knowledge augmentation for aspect-based sentiment analysis[J]. Information Processing & Management (影响因子 7.4,中科院1区), 2023, 60(3): 103260. 获评2023年该期刊的年度最佳论文.
- Yu H, Liu W, Lu J, et al. Detecting group concept drift from multiple data streams[J]. Pattern Recognition (影响因子 7.5,中科院1区), 2023, 134: 109113.
- Wang P, Yu H, Jin N, et al. QuadCDD: A quadruple-based approach for understanding concept drift in data streams[J]. Expert Systems with Applications (影响因子7.5, 中科院1区), 2024, 238: 122114.
- Li P, Yu H, Luo X, et al. LGM-GNN: A local and global aware memory-based graph neural network for fraud detection[J]. IEEE Transactions on Big Data (影响因子7.5), 2023, 9(4): 1116-1127.
- 文益民、员喆、余航,一种新的半监督归纳迁移学习框架:Co-Transfer, 计算机研究与发展 (计算机类三大中文刊物之一), 2023, 60(7): 1603-1614.
- Xie S, Zhang Z, Yu H, et al. Recurrent prediction model for partially observable MDPs[J]. Information Sciences (CCF B,中科院1区), 2023, 620: 125-141.
- Tian P, Yu H. Can we improve meta-learning model in few-shot learning by aligning data distributions?[J]. Knowledge-Based Systems (影响因子7.2, 中科院1区), 2023, 277: 110800.
- Guo Y, Yu H, Ma L, et al. Thfe: a triple-hierarchy feature enhancement method for tiny boat detection[J]. Engineering Applications of Artificial Intelligence (影响因子7.5, 中科院1区), 2023, 123: 106271.
- Xia N, Yu H, Wang Y, et al. DAFS: a domain aware few shot generative model for event detection[J]. Machine Learning (CCF B), 2023, 112(3): 1011-1031.
- Jin W, Zhao B, Yu H, et al. Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning[J]. Data Mining and Knowledge Discovery (CCF B), 2023, 37(1): 255-288.
- Gao J, Yu H, Zhang S. Joint event causality extraction using dual-channel enhanced neural network[J]. Knowledge-Based Systems (影响因子7.2, 中科院1区), 2022, 258: 109935.
- Yu H, Zhang Q, Liu T, et al. Meta-ADD: A meta-learning based pre-trained model for concept drift active detection[J]. Information Sciences (CCF B,中科院1区), 2022, 608: 996-1009.
- Yu H, Lu J, Liu A, et al. Real-time prediction system of train carriage load based on multi-stream fuzzy learning[J]. IEEE Transactions on Intelligent Transportation Systems (影响因子 7.9,中科院1区), 2022, 23(9): 15155-15165.
- Xie S, Zhang H, Yu H, et al. Et-hf: A novel information sharing model to improve multi-agent cooperation[J]. Knowledge-Based Systems (影响因子7.2, 中科院1区), 2022, 257: 109916.
- Yu H, Lu J, Zhang G. Morstreaming: A multioutput regression system for streaming data[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems (影响因子 8.6,中科院1区), 2021, 52(8): 4862-4874.
- Yu H, Lu J, Zhang G. Topology learning-based fuzzy random neural networks for streaming data regression[J]. IEEE Transactions on Fuzzy Systems (影响因子 10.7,中科院1区), 2020, 30(2): 412-425.
- Yu H, Lu J, Zhang G. Continuous support vector regression for nonstationary streaming data[J]. IEEE Transactions on Cybernetics (影响因子 9.4,中科院1区), 2020, 52(5): 3592-3605.
- Yu H, Lu J, Zhang G. An online robust support vector regression for data streams[J]. IEEE Transactions on Knowledge and Data Engineering (CCF A), 2020, 34(1): 150-163.
- Yu H, Lu J, Zhang G. Online topology learning by a Gaussian membership-based self-organizing incremental neural network[J]. IEEE transactions on neural networks and learning systems (影响因子 10.2,中科院1区), 2019, 31(10): 3947-3961.
会议论文列表
- Li Pengbo, Yu Hang, Luo Xiangfeng. Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels[C]. AAAI (CCF A), 2025.
- Ma Q, Yu H, Shan Y, et al. Exploiting the relationship within the unlabelled samples by set matching for generalized category discovery[C]. ICASSP (语音处理领域顶会, CCF B), IEEE, 2025.
- Liu Z, Yu H, Luo X. Federated Graph Anomaly Detection via Disentangled Representation Learning[C]. WWW (CCF A), 2025.
- Yu H, Yu H. Enhancing Zero-Shot Knowledge Graph Relation Prediction through Large Language Models and Contrastive Learning. WWW (CCF A), 2025.
- Gu J, Yu H, Luo X. A Masked AutoEncoder with Strong-Weak Mutual Information for Anomaly Detection in Dynamic Incomplete Graphs. (CCF A), 2025.
- Gao JQ, Cao J, Bu RR, Zhu NJ, Guan W, Yu H. Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms[C]. AAAI (CCF A), 2025.
- Gao JQ, Wu H, Cheung YM, Cao J, Yu H, Zhang YG. Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment[C]. WWW (CCF A), 2025.
- Wei X, Chen H, Yu H, et al. Guided Knowledge Generation with Language Models for Commonsense Reasoning[C]. EMNLP (自然语言处理三大会之一, CCF B), 2024: 1103-1136.
- Xu Q, Wei X, Yu H, et al. Divide and Conquer: Legal Concept-guided Criminal Court View Generation[C]. EMNLP (自然语言处理三大会之一, CCF B), 2024: 3395-3410.
- Zhang R, Zhang
- H, Yu H, et al. Approaching outside: scaling unsupervised 3D object detection from 2D scene[C]. ECCV (图像处理三大会之一, CCF B), 2024: 249-266.
- Wei X, Xu Q, Yu H, et al. Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements[C]. ACL (CCF A), 2024: 2864-2878.
- Li J, Yu H, Luo X, et al. COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion[C]. NAACL (自然语言处理三大会之一, CCF B), 2024: 1669-1682.
- Yu H, Liu Z, Luo X. Barely Supervised Learning for Graph-Based Fraud Detection[C]. AAAI (CCF A), 2024, 38(15): 16548-16557.
- Yu H, Li R, Xie S, et al. Shadow-Enlightened Image Outpainting[C]. CVPR (CCF A), 2024: 7850-7860.
- Wei X, Huang J, Yu H, et al. Ptcspell: Pre-trained corrector based on character shape and pinyin for chinese spelling correction[C]. ACL (CCF A), 2023: 6330-6343.
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