吴中海 - 北京大学 - 软件与微电子学院

个人简介

1986.09-1997.02 浙江大学计算机系，学士、硕士、博士 1997.04-2002.08 北京大学计算机科学技术研究所，博士后、副教授 2002.09-2006.04 北京大学软件与微电子学院，副教授、教授、院长助理 2006.05-2015.10 北京大学软件与微电子学院，教授、副院长 2015.10-2019.05 北京大学软件与微电子学院，教授、常务副院长 2019.06- 北京大学软件与微电子学院，教授、院长

研究领域

大数据机器学习软件与系统安全区块链与隐私计算工业物联与智能

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Hongzhi Liu, Yingpeng Du, Zhonghai Wu: Generalized Ambiguity Decomposition for Ranking Ensemble Learning [J]. Journal of Machine Learning Research. 23 (2022). Hongzhi Liu, Jie Luo, Ying Li, Zhonghai Wu: Iterative Compilation Optimization Based on Metric Learning and Collaborative Filtering[J]. ACM Trans. Archit. Code Optim. 19(1): 2:1-2:25 (2022). Tong Jia, Ying Li, Yong Yang, Gang Huang, Zhonghai Wu: Augmenting Log-based Anomaly Detection Models to Reduce False Anomalies with Human Feedback[C]. KDD 2022: 3081-3089 Ye Tao, Ying Li, Su Zhang, Zhirong Hou, Zhonghai Wu: Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network[C]. WWW 2022: 2830-2838 Yao Zhu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu: IFSpard: An Information Fusion-based Framework for Spam Review Detection[C]. WWW 2021: 507-517 Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du: Relation-Aware Neighborhood Matching Model for Entity Alignment[C]. AAAI 2021: 4749-4756 Sixing Wu, Minghui Wang, Dawei Zhang, Yang Zhou, Ying Li, Zhonghai Wu: Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network[C]. IJCAI 2021: 3964-3970 Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu: TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact[C]. IJCAI 2020: 3766-3772 Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu: Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness[C]. ACL 2020: 5811-5820 Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang: Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation[C]. IJCAI 2019: 3813-3819 Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu: Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning[C]. AAAI 2017: 2073-2079 Sixing Wu, Ying Li, Dawei Zhang, Zhonghai Wu: Generating Rational Commonsense Knowledge-Aware Dialogue Responses With Channel-Aware Knowledge Fusing Network[J]. IEEE ACM Trans. Audio Speech Lang. Process. 30: 3230-3239 (2022) Sixing Wu, Ying Li, Dawei Zhang, Zhonghai Wu: KSAM: Infusing Multi-Source Knowledge into Dialogue Generation via Knowledge Source Aware Multi-Head Decoding[C]. ACL (Findings) 2022: 353-363 Sixing Wu, Minghui Wang, Ying Li, Dawei Zhang, Zhonghai Wu: Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple Sources[C]. WSDM 2022: 1149-1157 Sixing Wu, Ying Li, Ping Xue, Dawei Zhang, Zhonghai Wu: Section-Aware Commonsense Knowledge-Grounded Dialogue Generation with Pre-trained Language Model[C]. COLING 2022: 521-531 Yingpeng Du, Hongzhi Liu, Zhonghai Wu: M3-IB: A Memory-Augment Multi-modal Information Bottleneck Model for Next-Item Recommendation[C]. DASFAA 2022: 19-35 Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan: Cascade Vertical Federated Learning[C]. ICME 2022: 1-6 Bin Fu, Hongzhi Liu, Hui Zhao, Yao Zhu, Yang Song, Tao Zhang, Zhonghai Wu: Market-Aware Dynamic Person-Job Fit with Hierarchical Reinforcement Learning[C]. DASFAA 2022: 697-705 Bin Fu, Hongzhi Liu, Yao Zhu, Yang Song, Tao Zhang, Zhonghai Wu: Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences for Dynamic Person-Job Fit[C]. DASFAA 2021: 359-375 Sixing Wu, Ying Li, Minghui Wang, Dawei Zhang, Yang Zhou, Zhonghai Wu: More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge[C]. EMNLP 2021: 2286-2300 Sixing Wu, Dawei Zhang, Ying Li, Zhonghai Wu: Multi Path Training Framework for Data-Driven Open-Domain Conversation System[C]. ICASSP 2021: 7393-7397 Ye Tao, Ying Li, Zhonghai Wu: Temporal Link Prediction Via Reinforcement Learning[C]. ICASSP 2021: 3470-3474 Ye Tao, Ying Li, Zhonghai Wu: Revisiting Graph Neural Networks for Node Classification in Heterogeneous Graphs[C]. ICME 2021: 1-6 Yingpeng Du, Hongzhi Liu, Zhonghai Wu: Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation[C]. ECML/PKDD 2021: 516-531 Hongzhi Liu, Yingpeng Du, Zhonghai Wu: AEM: Attentional Ensemble Model for personalized classifier weight learning[J]. Pattern Recognit. 96 (2019) 106976: 1-8 Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song, Tao Zhang: Representation Learning with Ordered Relation Paths for Knowledge Graph Completion[C]. EMNLP/IJCNLP 2019: 2662-2671 Sixing Wu, Dawei Zhang, Ying Li, Xing Xie, Zhonghai Wu: HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation[C]. COLING 2018: 845-856 Yingpeng Du, Hongzhi Liu, Zhonghai Wu, Xing Zhang: Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation[C]. ICDM 2018: 109-116 Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu, Tao Zhang: Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized Ranking[C]. WSDM 2018: 288-296 Tong Jia, Ying Li, Zhonghai Wu: Brief Announcement: Automatic Log Enhancement for Fault Diagnosis[C]. PODC 2018: 415-417 贾统，李影，张齐勋，吴中海. 基于程序层次树的日志打印位置决策方法[J]，软件学报，2021,32(9): 2713-2728. 贾统，李影，吴中海. 基于日志数据的分布式软件系统故障诊断技术综述[J]，软件学报，2020,31(7): 1997-2018. 杨勇, 李影, 吴中海. 分布式追踪技术综述[J]，软件学报，2020,31(7): 2019-2039. 姜正申，刘宏志, 付彬，吴中海. 集成学习的泛化误差和AUC分解理论及其在权重优化中的应用[J]，计算机学报，2019,42(1):1-15. 吴中海，叶澄清，潘云鹤，合一和回溯智能加速部件的设计与实现[J], 计算机学报，1997, 20(2):111-117 吴中海，叶澄清，高效逻辑语言实现方法[J], 计算机学报, 1996, 19(9):649-655

学术兼职

社会服务教育部高等学校软件工程专业教学指导委员会副主任中国计算机学会杰出会员北京大学信息与工程科学学部学术委员会委员北京大学学位评定委员会前沿交叉学科学位分会委员北京大学学位评定委员会工程专业学位分会委员