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    李直旭

    Zhixu Li  李直旭

    Ph. D, Professor

    复旦大学计算机科学技术学院研究员、博士生导师


    数据工程与多模态智能研究组负责人
    复旦大学知识工场实验室执行副主任
    上海市数据科学重点实验室办公室主任



    办公地址:复旦大学江湾校区二号交叉学科楼


    Email: zhixuli@fudan.edu.cn

    Phone: 不公开

    Biography

    李直旭,复旦大学计算机科学技术学院研究员(准聘教授)、博士生导师,复旦大学知识工场执行副主任,并担任数据工程与多模态智能研究组负    责人,兼任认知智能国家实验室苏州分部副主任。2013年获澳大利亚昆士兰大学计算机科学博士学位;2002-2009年就读于中国人民大学信息学院,获计算机科学与技术学士和硕士学位;曾任苏州大学计算机学院副教授/教授。主要研究方向为知识图谱、知识工程与认知智能、自然语言处理等。已累计在领域知名期刊和国际会议上发表论文近200篇,拥有授权发明专利20余项,主持国家级和省部级纵向科研项目累计近十项,企业合作横向项目多项。长期担任领域主要国际期刊与国际会议审稿人,并多次担任领域国际会议组委会成员。                    
     

    Research

    知识图谱、多模态知识工程与认知智能、自然语言处理

    Education

    2009-2013,昆士兰大学(澳大利亚),计算机科学(博士)- Supervisor:Prof. Xiaofang Zhou
    2006-2009,中国人民大学,计算机软件与理论(硕士) - Supervisor: Prof. 杜小勇
    2002-2006,中国人民大学,计算机科学与技术(学士)

    Work

    2021-至今,复旦大学计算机科学技术学院,研究员、博士生导师
    2020-2021,苏州大学计算机科学与技术学院,教授、博士生导师
    2014-2020,苏州大学计算机科学与技术学院,副教授、硕士生导师
    2013-2014,阿卜杜拉国王科技大学,博士后研究员

    Project

    2023.01-2024.06,面向具身智能体的通用多模态知识表达与计算研究,CCF-之江实验室“智海计划”联合创新基金,主持
    2022.09-2024.08,基于大规模多模态知识库的概念想象与多模态推理算法与理论,上海市人工智能科技支撑专项,主持
    2021.01-2024.12,开放多模态环境下动态知识图谱补全与更新关键技术研究,国家自然科学基金(面上),主持
    2019.09-2022.08,基于精准领域知识获取技术的协同交互式数据清洗研究,江苏省自然科学基金(面上),主持
    2017.09-2020.08,基于多渠道领域知识的一站式文本类数据清洗技术研究,江苏省高校自然科学研究(重大),主持
    2017.01-2021.12,众包数据库的基础理论与关键技术研究,国家自然科学基金(重点),校方主持
    2015.01-2017.12,基于互联网海量信息的数据库文本类型数据清洗研究,国家自然科学基金(青年项目),主持

    Talk

    2022.06.11 CCF-YEF论坛引导报告 “多模态知识图谱与跨模态认知智能”
    2022.03.25 复旦大学计算机学院学科方向前沿创新学术报告 “多模态知识图谱研究展望”
    2022.03.12 CCF-YOCSEF特邀报告 “知识图谱驱动的认知制造”
    2021.12.10 姑苏实验室特邀报告 “面向科研管理与研究的大数据与人工智能技术”
    2021.10.24 第八届全国智能信息处理学术会议(NCIIP2021)专题论坛邀请报告 “知识图谱在行业落地中的实践探讨与分享”
    2021.10.23 华为云AI院长论坛 “知识图谱落地中的成本与效用矛盾”
    2021.09.04 CCF TF第45期特邀报告 “行业认知落地场景中的知识图谱实践探讨”

    Award

    曾获得领域国际会议ICDE2019、APWEB-WAIM2019最佳论文奖,国际会议WISE2018最佳学生论文等荣誉奖励。

    Teaching

    2021-2022 Sem2 COMP130005.01 代数结构与数理逻辑
    2021-2022 Sem2 COMP717001.01 科学研究概述与思维方法(G)

    Publication

    2024          

    1. Yaoxian Song, Penglei Sun, Haoyu Liu, Zhixu Li*, Wei Song*, Yanghua Xiao, Xiaofang Zhou: Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI, Accepted by TKDE

    2. Chenghua Huang, Shisong Chen, Zhixu Li*, Jianfeng Qu*, Yanghua Xiao, Jiaxin Liu, Zhigang Chen: GeoAgent: To Empower LLMs using Geospatial Tools for Address Standardization, ACL Findings 2024

    3. Tingyi Zhang, Jiaan Wang, Zhixu Li*, Jianfeng Qu*, An Liu, Zhigang Chen, Hongping Zhi: MusTQ: A Temporal Knowledge Graph Question Answering Dataset for Multi-Step Temporal Reasoning, ACL Findings 2024

    4. Yuyan Chen, Songzhou Yan, Qingpei Guo, Jiyuan Jia, Zhixu Li*, Yanghua Xiao*: HOTVCOM: Generating Buzzworthy Comments for Videos, ACL Findings 2024

    5. 赵海全,王续武,李金亮,李直旭*,肖仰华: 面向视频的细粒度多模态实体链接. 软件学报 2024.

    6. Minghen Zhang, Jian Wang, Jianfeng Qu, Zhixu Li*, An Liu, Lei Zhao, Zhigang Chen, Xiaofang Zhou: A Coarse-to-Fine Framework for Entity-Relation Joint Extraction. ICDE 2024

    7. Jian wang, Jianfeng Qu, Kexin Wang, Zhixu Li*, Wen Hua, Ximing Li: Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning. AAAI 2024

    8. Yuyan Chen, Yichen Yuan, Panjun Liu, Xinyu Wang, Ge Fan, Zhixu Li*, Bang Liu, Yanghua Xiao: Talk Funny! A Large-scale Humor Response Dataset with Chain-of-Humor Interpretation. AAAI 2024

    9. Yuyan Chen, Jin Zhao, Zhihao Wen, Zhixu Li*, Yanghua Xiao: TemporalMed: Advancing Medical Dialogues with Time-Aware Responses. WSDM 2024

    10. Jin Zhao, Jiaqing Liang, Chao Wang, Jingping Liu, Sihang Jiang, Lihan Chen, Zhixu Li*, Yanghua Xiao: A Novel Cascade Instruction Tuning Method For Biomedical NER. ICASSP 2024

    11. Anting Li, Shisong Chen, Zhixu Li*, JIanfeng Qu*, Zhiang Yue, Jingping Liu: A Hierarchy-aware Entity Alignment Method for Educational Knowledge Graphs, DASFAA 2024

    12. Haoyu Liu, Yaoxian Song, Xuwu Wang, Zhu Xiangru, Zhixu Li*, Wei Song*, Tiefeng Li, Flickr30K-CFQ: A Compact and Fragmented Query Dataset for Text-image Retrieval, DASFAA 2024


      2023

      1. Yuyan Chen, Yanghua Xiao, Zhixu Li*, Bang Liu: XMQAs: Constructing Complex-Modified Question-Answering Dataset for Robust Question Understanding. TKDE 2023

      2. Jin Zhao, Zhixu Li*, Yanghua Xiao*, Jiaqing Liang and Jingping Liu: HTMapper: Bidirectional Head-Tail Mapping for Nested Named Entity Recognition. CIKM 2023

      3. Jingdan Zhang, Jiaan Wang, Xiaodan Wang, Zhixu Li*, Yanghua Xiao*: AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities. CIKM 2023

      4. Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Zhixu Li*, Yanghua Xiao*, Dongmei Zhang: Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. CIKM 2023

      5. Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Zhixu Li*, Yanghua Xiao*, Dongmei Zhang: Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. CIKM 2023

      6. Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li*, Jianfeng Qu* and Jie Zhou: Towards Unifying Multi-Lingual and Cross-Lingual Summarization. ACL 2023

      7. Xiaodan Wang, Chengyu Wang, Lei Li, Zhixu Li*, Ben Chen, Linbo Jin, Jun Huang, Yanghua Xiao* and Ming Gao, FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph. ACL (Industry Track) 2023

      8. Wenhao Huang, Jiaqing Liang*, Zhixu Li, Yanghua Xiao* and Chuanjun Ji: Adaptive Ordered Information Extraction with Deep Reinforcement Learning. ACL Findings 2023

      9. Yu Hong, Jiahang Li, Jianchuan Feng, Chenghua Huang, Zhixu Li*, Jianfeng Qu, Yanghua Xiao*, Wei Wang: Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-Supervised Relation Extraction. AAAI 2023

      10. Zhouhong Gu, Sihang Jiang, Jingping Liu, Yanghua Xiao*, Hongwei Feng, Zhixu Li, Jiaqing Liang, Jian Zhong: GANTEE: Generative Adversarial Network for Taxonomy Entering Evaluation. AAAI 2023

      11. Xiaodan Wang, Lei Li, Zhixu Li*, Xuwu Wang, Xiangru Zhu, Chengyu Wang, Jun Huang and Yanghua Xiao*: AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models. WSDM 2023

      12. Yuyan Chen, Zhixu Li*, Jiaqing Liang, Yanghua Xiao*, Bang Liu* and Yunwen Chen: Can Pre-trained Language Models Understand Chinese Humor? WSDM 2023

      13. Shaohui Zheng, Zhixu Li*, Jiaan Wang, Jianfeng Qu*, An Liu, Lei Zhao and Zhigang Chen: Long-Document Cross-Lingual Summarization. WSDM 2023

      14. Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao. MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. EMNLP2023

      15. Jiaan Wang, Fandong Meng, Yunlong Liang, Tingyi Zhang, Jiarong Xu, Zhixu Li, Jie Zhou:Understanding Translationese in Cross-Lingual Summarization.EMNLP 2023

      16. Jian Zou, Jiaan Wang, Ying He, Jianfeng Qu*, Zhixu Li*, Pengpeng Zhao, An Liu, Lei Zhao:A Joint Link-Retrieve Framework for Open Table-and-Text Question Answering. DASFAA 2023

      2022

      1. Xiangru Zhu, Zhixu Li*, Xiaodan Wang, Xueyao Jiang, Penglei Sun, Xuwu Wang, Yanghua Xiao*, Nicholas Jing Yuan: Multi-Modal Knowledge Graph Construction and Application: A Survey. accepted by TKDE in Dec. 2022

      2. Jiaan Wang, Fandong Meng*, Duo Zheng, Yunlong Liang, Zhixu Li*, Jianfeng Qu and Jie Zhou: A Survey on Cross-Lingual Summarization. TACL 2022

      3. Jiaan Wang, Fandong Meng, Ziyao Lu, Duo Zheng, Zhixu Li*, Jianfeng Qu and Jie Zhou: ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization. EMNLP 2022

      4. Siyu Yuan, Deqing Yang*, Jiaqing Liang, Zhixu Li, Jinxi Liu, Jingyue Huang and Yanghua Xiao*: Generative Entity Typing with Curriculum Learning. EMNLP 2022

      5. Tianyu Xu, Wen Hua, Jianfeng Qu*, Zhixu Li*, Jiajie Xu, An Liu and Lei Zhao: Evidence-aware Document-level Relation Extraction. CIKM 2022 (Best Paper Candidate, Honorable Mention)

      6. Yu Hong, Zhixu Li*, Jianfeng Qu, Jiaqing Liang, Yi Luo, Miyu Zhang, Yanghua Xiao*, Wei Wang: Can We Have Both Fish and Bear's Paw? Improving Performance, Reliability, and both of them for Relation Extraction under Label Shift. CIKM 2022

      7. Kexin Wang, Zhixu Li*, Jiaan Wang, Jianfeng Qu*, Ying He, An Liu and Lei Zhao:   RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation. ISWC 2022

      8. An Liu, Yifan Zhang, Xiangliang Zhang, Zhixu Li, Lei Zhao, Qing Li, Xiaofang Zhou: Representation Learning With Multi-Level Attention for Activity Trajectory Similarity Computation. IEEE TKDE 2022

      9. Pengpeng Zhao, Anjing Luo, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou: Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. IEEE TKDE 2022

      10. Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou: Overcoming Data Sparsity in Group Recommendation. IEEE TKDE 2022

      11. Xuwu Wang, Junfeng Tian, Min Gui, Zhixu Li*, Rui Wang, Ming Yan, Lihan Chen, Yanghua Xiao: WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types. ACL 2022

      12. Qianyu He, Sijie Cheng, Zhixu Li*, Rui Xie, Yanghua Xiao: Can Pre-trained Language Models Interpret Similes as Smart as Human? ACL 2022

      13. Jiaan Wang, Zhixu Li*, Tingyi Zhang, Duo Zheng, Jianfeng Qu, An Liu, Lei Zhao, Zhigang Chen: Knowledge Enhanced Sports Game Summarization. WSDM 2022

      14. Jiaan Wang, Beiqi Zou, Zhixu Li*, Jianfeng Qu, Pengpeng Zhao, An Liu, Lei Zhao: Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks. DASFAA 2022

      15. Lin Yuan, Zhixu Li*, Jianfeng Qu, Tingyi Zhang, An Liu, Lei Zhao, Zhigang Chen: TRHyTE: Temporal Knowledge Graph Embedding Based on Temporal-Relational Hyperplanes. DASFAA 2022

      16. Tingyi Zhang, Zhixu Li*, Jiaan Wang, Jianfeng Qu, Lin Yuan, An Liu, Lei Zhao, Zhigang Chen: Aligning Internal Regularity and External Influence of Multi-granularity for Temporal Knowledge Graph Embedding. DASFAA 2022

      17. Xueyao Jiang, Ailisi Li, Jiaqing Liang, Bang Liu, Rui Xie, Wei Wu, Zhixu Li*, Yanghua Xiao: Visualizable or Non-visualizable? Exploring the Visualizability of Concepts in Multi-modal Knowledge Graph. DASFAA 2022

      18. Xuwu Wang, Junfeng Tian, Min Gui, Zhixu Li, Jiabo Ye, Ming Yan, Yanghua Xiao: PromptMNER: Prompt-Based Entity-Related Visual Clue Extraction and Integration for Multimodal Named Entity Recognition. DASFAA 2022

      2021

      1. Binbin Gu, Zhixu Li*, An Liu, Jiajie Xu, Lei Zhao, Xiaofang Zhou: Improving the Quality of Web-Based Data Imputation With Crowd Intervention. IEEE TKDE 2021

      2. Lei Niu, Chenpeng Fu, Qiang Yang, Zhixu Li*, Zhigang Chen, Qingsheng Liu, Kai Zheng: Open-world knowledge graph completion with multiple interaction attention. World Wide Web 2021

      3. Jiawei Wang, Xin Zheng, Qiang Yang, Jianfeng Qu, Jiajie Xu, Zhigang Chen, Zhixu Li*: Towards Nested and Fine-Grained Open Information Extraction. CCKS 2021

      4. Jiaan Wang, Zhixu Li*, Qiang Yang, Jianfeng Qu, Zhigang Chen, Qingsheng Liu, Guoping Hu: SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary. CIKM 2021

      5. Shisong Chen, Binbin Gu, Jianfeng Qu, Zhixu Li*, An Liu, Lei Zhao, Zhigang Chen: Tackling Zero Pronoun Resolution and Non-Zero Coreference Resolution Jointly. CoNLL 2021

      6. Dawei Chen, Zhixu Li*, Binbin Gu, Zhigang Chen: Multimodal Named Entity Recognition with Image Attributes and Image Knowledge. DASFAA2021

      7. Li Zhang, Zhixu Li*, Qiang Yang: Attention-Based Multimodal Entity Linking with High-Quality Images. DASFAA 2021

      8. Jiaan Wang, Zhixu Li*, Binbin Gu, Tingyi Zhang, Qingsheng Liu, Zhigang Chen: Multi-modal Chorus Recognition for Improving Song Search. ICANN 2021

      2020

      1. Yanan Zhang, Guanfeng Liu, An Liu, Yifan Zhang, Zhixu Li, Xiangliang Zhang, Qing Li: Personalized Geographical Influence Modeling for POI Recommendation. IEEE Intell. Syst. 2020

      2. Yi-Ting Wang, Jie Shen, Zhixu Li*, Qiang Yang, An Liu, Pengpeng Zhao, Jia-Jie Xu, Lei Zhao, Xun-Jie Yang: Enriching Context Information for Entity Linking with Web Data. JCST 2020

      3. An Liu, Xindi Shen, Haoran Xie, Zhixu Li, Guanfeng Liu, Jia-Jie Xu, Lei Zhao, Fu Lee Wang: Privacy-preserving shared collaborative web services QoS prediction. J. Intell. Inf. Syst. 2020

      4. Guanfeng Liu, Yurong Wang, Bolong Zheng, Zhixu Li, Kai Zheng: Strong Social Graph Based Trust-Oriented Graph Pattern Matching With Multiple Constraints. IEEE Trans. Emerg. Top. Comput. Intell. 2020

      5. Mingjun Xiao, Kai Ma, An Liu, Hui Zhao, Zhixu Li, Kai Zheng, Xiaofang Zhou: SRA: Secure Reverse Auction for Task Assignment in Spatial Crowdsourcing. IEEE TKDE 2020

      6. Maolong Li, Zhixu Li*, Qiang Yang, Zhigang Chen, Pengpeng Zhao, Lei Zhao: A crowd-efficient learning approach for NER based on online encyclopedia. World Wide Web 2020

      7. Shuangli Shan, Zhixu Li*, Qiang Yang, An Liu, Lei Zhao, Guanfeng Liu, Zhigang Chen: Geographical address representation learning for address matching. World Wide Web 2020

      8. Ying He, Zhixu Li*, Qiang Yang, Zhigang Chen, An Liu, Lei Zhao, Xiaofang Zhou: End-to-end relation extraction based on bootstrapped multi-level distant supervision. World Wide Web 2020

      9. Siyuan Cao, Qiang Yang, Zhixu Li*, Guanfeng Liu, Detian Zhang, Jiajie Xu: MemTimes: Temporal Scoping of Facts with Memory Network. DASFAA 2020

      10. Lei Niu, Binbin Gu, Zhixu Li*, Wei Chen, Ying He, Zhaoyin Zhang, Zhigang Chen: Fine-Grained Entity Typing for Relation-Sparsity Entities. DASFAA 2020

      11. Jia Chen, Binbin Gu, Zhixu Li*, Pengpeng Zhao, An Liu, Lei Zhao: SAEA: Self-Attentive Heterogeneous Sequence Learning Model for Entity Alignment. DASFAA 2020

      12. Jia Chen, Zhixu Li*, Pengpeng Zhao, An Liu, Lei Zhao, Zhigang Chen, Xiangliang Zhang: Learning Short-Term Differences and Long-Term Dependencies for Entity Alignment. ISWC 2020

      2019

      1. Qiang Yang, Zhixu Li*, An Liu, Guanfeng Liu, Lei Zhao, Xiangliang Zhang, Min Zhang, Xiaofang Zhou: A novel hybrid publication recommendation system using compound information. World Wide Web 2019

      2. Pengpeng Zhao, Haifeng Zhu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou: Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. AAAI 2019

      3. Shuangli Shan, Zhixu Li*, Qiang Yang, An Liu, Jiajie Xu, Zhigang Chen: DeepAM: Deep Semantic Address Representation for Address Matching. APWeb/WAIM 2019 (Best Paper Award)

      4. Fuzhen He, Zhixu Li*, Qiang Yang, An Liu, Guanfeng Liu, Pengpeng Zhao, Lei Zhao, Min Zhang, Zhigang Chen: Unsupervised Entity Alignment Using Attribute Triples and Relation Triples. DASFAA 2019

      5. Jiapeng Li, Wei Chen, Zhixu Li, Lei Zhao: Measuring Semantic Relatedness with Knowledge Association Network. DASFAA 2019

      6. Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Jiali Yang, Xiaofang Zhou: Social Influence-Based Group Representation Learning for Group Recommendation. ICDE 2019 (Best Paper Award)

      7. Shuangli Shan, Zhixu Li*, Yang Li, Qiang Yang, Jia Zhu, Mohamed A. Sharaf, Xiaofang Zhou: WebPut: A Web-Aided Data Imputation System for the General Type of Missing String Attribute Values. ICDE 2019

      8. Huizhao Wang, Guanfeng Liu, An Liu, Zhixu Li, Kai Zheng: DMRAN: A Hierarchical Fine-Grained Attention-Based Network for Recommendation. IJCAI 2019

      9. Jiaxin Hu, Zhixu Li*, Renshou Wu, Hongling Wang, An Liu, Jiajie Xu, Pengpeng Zhao, Lei Zhao: Distant Supervised Why-Question Generation with Passage Self-Matching Attention. IJCNN 2019

      10. Hongling Wang, Renshou Wu, Zhixu Li*, Zhongqing Wang, Zhigang Chen, Guodong Zhou: Triple-Joint Modeling for Question Generation Using Cross-Task Autoencoder. NLPCC 2019

      Eearlier than 2018

      1. Zhixu Li, Ying He, Binbin Gu, An Liu, Hongsong Li, Haixun Wang, Xiaofang Zhou: Diagnosing and Minimizing Semantic Drift in Iterative Bootstrapping Extraction. IEEE TKDE 2018

      2. Guanfeng Liu, Yi Liu, Kai Zheng, An Liu, Zhixu Li, Yan Wang, Xiaofang Zhou: MCS-GPM: Multi-Constrained Simulation Based Graph Pattern Matching in Contextual Social Graphs. IEEE TKDE 2018

      3. Binbin Gu, Zhixu Li*, Qiang Yang, Qing Xie, An Liu, Guanfeng Liu, Kai Zheng, Xiangliang Zhang: Web-ADARE: A web-aided data repairing system. Neurocomputing 2017

      4. Zhixu Li, Qiang Yang, An Liu, Guanfeng Liu, Jia Zhu, Jia-Jie Xu, Kai Zheng, Min Zhang: Crowd-Guided Entity Matching with Consolidated Textual Data. JCST 2017

      5. Binbin Gu, Zhixu Li*, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou: The Interaction Between Schema Matching and Record Matching in Data Integration. IEEE TKDE 2017

      6. Meng Hu, Zhixu Li*, Yongxin Shen, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao: CNN-IETS: A CNN-based Probabilistic Approach for Information Extraction by Text Segmentation. CIKM 2017

      7. Binbin Gu, Zhixu Li*, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou: The Interaction Between Schema Matching and Record Matching in Data Integration (Extended Abstract). ICDE 2017

      8. Qing Xie, Xiangliang Zhang, Zhixu Li, Xiaofang Zhou: Optimizing Cost of Continuous Overlapping Queries over Data Streams by Filter Adaption. IEEE TKDE 2016

      9. Jian Zhou, Zhixu Li*, Binbin Gu, Qing Xie, Jia Zhu, Xiangliang Zhang, Guoliang Li: CrowdAidRepair: A Crowd-Aided Interactive Data Repairing Method. DASFAA 2016

      10. Qiang Yang, Zhixu Li*, Binbin Gu, An Liu, Guanfeng Liu, Pengpeng Zhao, Lei Zhao: CTextEM: Using Consolidated Textual Data for Entity Matching. DASFAA 2016

      11. Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou: TRIP: An interactive retrieving-inferring data imputation approach. ICDE 2016

      12. Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou: TRIP: An Interactive Retrieving-Inferring Data Imputation Approach. IEEETKDE 2015

      13. Zhixu Li, Xiangliang Zhang, Hai Huang, Qing Xie, Jia Zhu, Xiaofang Zhou: Addressing Instance Ambiguity in Web Harvesting. WebDB 2015

      14. Zhixu Li, Hongsong Li, Haixun Wang, Yi Yang, Xiangliang Zhang, Xiaofang Zhou: Overcoming Semantic Drift in Information Extraction, EDBT 2014

      15. Zhixu Li, Laurianne Sitbon, Liwei Wang, Xiaofang Zhou, Xiaoyong Du: AML: Efficient Approximate Membership Localization within a Web-Based Join Framework. IEEE TKDE 2013

      16. Zhixu Li, Mohamed A. Sharaf, Laurianne Sitbon, Xiaoyong Du, Xiaofang Zhou: CoRE: A Context-Aware Relation Extraction Method for Relation Completion. IEEE TKDE 2012

      17. Zhixu Li, Mohamed A. Sharaf, Laurianne Sitbon, Shazia Wasim Sadiq, Marta Indulska, Xiaofang Zhou: WebPut: Efficient Web-Based Data Imputation. WISE 2012 (Best Paper Award)

      18. Zhixu Li, Laurianne Sitbon, Xiaofang Zhou: Learning-based relevance feedback for web-based relation completion. CIKM 2011

      19. Zhixu Li, Laurianne Sitbon, Liwei Wang, Xiaofang Zhou, Xiaoyong Du: Approximate membership localization (AML) for web-based join. CIKM2010

        Service

        学术兼职:
        中国计算机学会数据库专委会委员
        中国计算机学会语言与知识计算专委会委员
        中文信息学会青年工作委员会委员
        中国计算机学会数据库专委会 委员
        ACM SIGMOD CHINA, Committee Member
        IEEE TCDE CHINA, Committee Member                    
         
        学术服务:
        BigComp 2023 PC Chair
        CCKS 2022 Industrial Track Chair
        CCKS 2021 Publicity Chair
        CCKS 2019 Area Chair
        DASFAA 2017 Local Organization Chair
        APWEB 2016 Local Organization Chair





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