Biography

Prof. Zhixu Li is currently a Professor with the School of Information (信息学院)  & School of Smart Governance (智慧治理学院) at Renmin University of China (中国人民大学). Before joining Renmin University, he used to work as a researcher and Ph.D. Supervisor with the School of Computer Science at Fudan Univserity (复旦大学） from 2021 to 2024, as a Professor with the Advanced Data Analytics Group at the School of Computer Science and Technology at Soochow University (苏州大学）from  2014 to 2021, and as a Postdoc with Prof. Xiangliang Zhang at KAUST from 2013 to 2014.  Prior to that, he obtained his Ph.D. degree in Computer Science from The University of Queensland, Australia under the supervision of  Prof. Xiaofang Zhou in 2013, and his Bachelor and Master Degree in Computer Science at Renmin University of China (中国人民大学) under the supervision of Prof. Xiaoyong Du in 2006 and 2009 respectively.

He has visited Chinese University of Hong Kong, where he was supported by Dr. Cheng Hong in Apr. - Jul. 2013. He has also carried out an internship at Microsoft Research Asia supervised by Dr. Haixun Wang in Sep. 2011 - Feb. 2012.

Research Interests

• Large Language Models (LLMs) & Multimodal LLMs

• Knowledge Graphs (KGs) & Multimodal KGs

• Cross-Modal (Vision, Language, Speech) Understanding

• Natural Language Processing (NLP)

• Data Mining and Big Data Analysis

• Data Governance & Data Quality

Recruiting 

I always welcome self-motivated students (Bachelor, Master or Ph.D) to work with me.  Please do not hesitate to contact me should you have any concerns or interests. 

Selected Publications

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. Yuyan Chen, Yanghua Xiao*, Zhixu Li*, Bang Liu*: XMQAs: Constructing Complex-Modified Question-Answering Dataset for Robust Question Understanding. TKDE 2024

3. 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. TKDE 2024

4. Yuyan Chen, Songzhou Yan, Zhihong Zhu, Zhixu Li*, Yanghua Xiao*: XMeCap: Meme Caption Generation with Sub-Image Adaptability. MM 2024

5. Penglei Sun, Yaoxian Song, Xinglin Pan, Peijie Dong, Xiaofei Yang, Qiang Wang*, Zhixu Li, Tiefeng Li, and Xiaowen Chu: Multi-Task Domain Adaptation for Language Grounding with 3D Objects. ECCV 2024

6. 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

7. 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

8. Yuyan Chen, Yiwen Qian, Songzhou Yan, Jiyuan Jia, Zhixu Li, Yanghua Xiao, Xiaobo Li, Aaron Xuxiang Tian, Ming Yang, Qingpei Guo*: HOTVCOM: Generating Buzzworthy Comments for Videos, ACL Findings 2024

9. 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

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

11. 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

12. Zhiwei Zha, Jian Wang, Zhixu Li*, Xiangru Zhu, Wei Song, Yanghua Xiao: M^2ConceptBase: A Fine-Grained Aligned Concept-Centric Multi-modal Knowledge Base. CIKM 2024

13. Kaicheng Zhao, Yaoxian Song, Haiquan Zhao, Haoyu Liu, Tiefeng Li and Zhixu Li*: Towards Coarse-grained Visual Language Navigation Task Planning Enhanced by Event Knowledge Graph. CIKM 2024

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

15. 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

16. Jin Zhao, Jian Xie, Tinghui Zhu, Qian Guo, Yanghua Xiao *and Zhixu Li*. Empowering BioNER through Multi-Tagger Collaboration. ECAI 2024.

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

18. 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

19. 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

2023

1.  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 

2. 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

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

4. 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

5. 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

6. 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. EMNLP 2023

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

8. Jiaan Wang, Yunlong Liang, Fandong Meng, Zengkui Sun, Haoxiang Shi, Zhixu Li, Jinan Xu, Jianfeng Qu and Jie Zhou: Is ChatGPT a Good NLG Evaluator? A Preliminary Study. NewSumm@EMNLP 2023 (workshop paper)

9. 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

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

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

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

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

14. 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

15. 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

 2022

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

2. 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

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

4. 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)

5. 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

6. 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

7. 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

8. 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

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

10. 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

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

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

13. 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

14. 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

15. 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

16. 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

17. 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. DASFAA 2021

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 L*i, 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. IEEE TKDE 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

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

19. 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)

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

21. Zhixu Li, Laurianne Sitbon, Liwei Wang, Xiaofang Zhou, Xiaoyong Du: Approximate membership localization (AML) for web-based join. CIKM 2010

Academic Participation

• 中国计算机学会数据库专委会 委员

• 中国中文信息学会青工委 委员 

• 中国中文信息学会语言与知识计算专委会 委员

• ACM SIGMOD CHINA, Committee Member

• IEEE TCDE CHINA, Committee Member

Academic Services

• 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

Recent Invited Talks

1. 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”

2. 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”

3. 2022.03.12 CCF-YOCSEF特邀报告 “知识图谱驱动的认知制造”

4. 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”

5. 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”

6. 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”

7. 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”

Teaching Courses

1. 2021-2022 Sem2 COMP130005.01 代数结构与数理逻辑

2. 2021-2022 Sem2 COMP717001.01 科学研究概述与思维方法(G)