• 2024/01/10: One paper titled "Label-aware Dual-view Graph Neural Network for Protein-Protein Interaction Classification Expert Systems With Applications" has been accepted by the Journal of Expert Systems With Applications (SCI中科院一区TOP期刊, IF 8.093).
• 2024/1/2: One paper titled "Semi-supervised Stance Detection with Category-aware Curriculum Learning" has been accepted for publication in Journal of Computer Applications (In chinese).
• 2024/1/2: One paper titled "Information Diffusion Prediction model of Prototype-aware Dual-channel Graph Neural Network" has been accepted for publication in Journal of Computer Applications (In chinese).
• 2023/11/30: One paper titled "A mutually enhanced multi‑scale relation‑aware graph convolutional network for argument pair extraction" has been accepted for publication in Journal of Intelligent Information Systems (SCI中科院三区TOP期刊, IF 3.40).
• 2023/11/28: One paper titled "Label-aware Contrastive Framework for Multi-level Implicit Discourse Relation Recognition" has been accepted for publication in Journal of Chinese Information Processing (CCF推荐B类中文期刊).
• 2023/11/24: One paper titled "Heterogeneous Graph Convolutional Neural Networks for Argument Pair Extraction" has been accepted for publication in Journal of Zhejiang University (Engineering Science) (EI中文期刊).
• 2023/11/20: One paper titled "Cross-Domain Recommendation Model Based on Source Domain Data Aug-mentation and Multi-Interest Refinement Transfer" has been accepted for publication in Journal of Zhejiang University (Engineering Science) (EI中文期刊).
• 2023/8/28: One paper titled "Interpretable Fake News Detection with Dual Encoder Evidence Distillation Neural Networks" has been accepted for publication in Journal of Chinese Information Processing (CCF推荐B类中文期刊).
• 2023/02/25: One paper titled "Dialogue Sentiment Classification and Act Recognition Based on Multi-task Learning" has been accepted for publication in Chinese Journal of Computers (CCF A).
• 2022/12/23: Serve as the PC Member of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023) (CCF A), 23-27 July 2023, Taipei, Taiwan, China.
• 2022/12/13: Serve as the PC Member of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) (CCF A), 9-14 July 2023, Toronto, Canada.
• 2022/12/13: Serve as the PC Member of the 3rd International Workshop on Knowledge Graphs for Online Discourse Analysis (TheWebConf2023-Companion), 30 April- 4 May, 2023, Austin, Texas, USA
• 2022/10/30: One paper titled "Generating effective label description for label-aware sentiment classification" has been accepted by the Journal of Expert Systems With Applications (SCI中科院一区TOP期刊, IF 8.093).
• 2022/10/05: One paper titled "Dynamic Global Structure Enhanced Multi-channel Graph Neural Network for Session-based Recommendation" has been accepted for publication in Journal of Information Sciences (SCI中科院一区，IF 8.233).
• 2022/08/15: Three papers have been accepted by the 28th China Conference on Information Retrieval, CCIR 2022.
• 2022/07/14: One paper titled "Exploring Rich Structure Information for Aspect-based Sentiment Classification" has been accepted for publication in Journal of Intelligent Information Systems (SCI中科院四区，IF 1.888).
• 2022/07/05: One paper titled "A Cross-Domain Recommendation Model Based on Target Domain Feature Awareness and Complementary User Transfer" has been accepted by the journal of chinese computer systems (CCF推荐B类期刊, in Chinese).
• 2022/06/15: One paper titled "Dialogue Sentiment Classification and Act Recognition Based on Multi-task Learning" has been accepted by the 39th CCF National Database Conference (NDBC 2022).
• 2022/06/15: One paper titled "Cross-space Adversarial Fusion Dual-Channel Graph Convolution Net-works" has been accepted by the 39th CCF National Database Conference (NDBC 2022).
• 2022/06/09: One paper titled "Few-shot Text Classification Based on Bidirectional Attention and Class Generator" has been accepted by the journal of chinese computer systems (CCF推荐B类期刊, in Chinese).
• 2022/04/21: One paper titled "Time Enhanced Graph Neural Networks for Session-based Recommendation Knowledge-Based Systems" has been accepted by the journal of Knowledge-Based Systems (SCI中科院一区TOP期刊, IF 8.038).
• 2022/04/21: One paper titled "MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities" has been accepted by the 31st International Joint Conference on Artificial Intelligence (CCF推荐A类顶会，IJCAI 2022).
• 2022/03/31: One paper titled "Dual-Channel Knowledge Distillation for Node Classification" has been accepted by the journal of chinese computer systems (CCF推荐B类期刊, in Chinese).
• 2022/02/28: One paper titled "Label-Guided Dual-Attention Deep Neural Network Model" has been published by the Journal of Pattern Recognition and Artificial Intelligence (CCF推荐B类期刊, EI检索, in Chinese).
• 2022/02/01: One paper titled "Knowledge-enhanced graph convolutional neural networks for text classification" has been published by the Journal of Zhejiang University (Engineering Science) (EI检索, in Chinese).
• 2021/12/18: Give a Keynote speech titled "Towards Complex Structural Modeling in Sentiment Analysis" in the 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA 2021)
• 2021/12/17: A Project (62141201) has been approved by National Natural Science Foundation of China (NSFC).
• 2021/12/08: Serve as the PC Member of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022) (CCF A), 11-15 July 2022, Madrid, Spain.
• 2021/12/02: Serve as the PC Member of the 2nd International Workshop on Knowledge Graphs for Online Discourse Αnalysis (KnOD 2022) (CCF A), 25-29 April 2022, Lyon, France.
• 2021/11/22: Serve as the PC Member of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2022) (CCF A), 17-19 December 2022, Washington DC, USA.
• 2021/11/18: Serve as the Keynote Speakers of the 2021 IEEE 2nd International Conference on Information Technology,Big Data and Artificial Intelligence (IEEE ICIBA 2021) , 2021, Chongqing, China.
• 2021/11/15: Serve as China Computer Federation (CCF) Senior Member.
• 2021/11/09: One paper titled "Reasoning over Multiplex Heterogeneous Graph for Target-oriented Opinion Words Extraction" has been accepted by the Journal of Knowledge-Based Systems (SCI中科院一区TOP期刊, IF 8.038).
• 2021/11/08: Serve as the Publicity Chair of the 5th International Conference on Artificial Intelligence and Big Data (ICAIBD 2022), 2022, Chengdu, China.
• 2021/10/28: One paper titled "Efficient Scalable Temporal Web Graph Store" has been accepted by the Proceedings of 2021 IEEE International Conference on Big Data (CCF推荐B类会议).
• 2021/10/1: One paper titled "Aspect-based Sentiment Classification with Reinforced Dependency Graph" has been accepted by the Proceedings of the CCF Conference on Bigdata.
• 2021/10/1: One paper titled "Dual-Attention Sentiment Classification Based on Label Description Generation " has been accepted by the Proceedings of the CCF Conference on Bigdata.
• 2021/08/17: One paper titled "Exploring User Historical Semantic and Sentiment Preference for Microblog Sentiment Classification" has been accepted by the Journal of Neurocomputing (SCI中科院二区TOP期刊,IF 5.719).
• 2021/08/17: Serve as the PC Member of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022) (CCF A), 2022, Vancouver, BC, Canada.
• 2021/08/06: Serve as Communication Member of CAAI Task Force on Machine Learning (CAAI ML), Changsha, China.
• 2021/08/02: One paper titled "GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for Aspect-based Sentiment Classification" has been accepted by the Journal of Expert Systems With Applications (SCI中科院一区TOP期刊, IF 6.954).
• 2021/06/02: Serve as the PC Member of the 15th ACM International Conference on Web Search and Data Mining (WSDM 2022) (CCF B), 2022, Phoenix, Arizona, USA.
• 2021/05/09: Serve as the Reviewer of the ACM Transactions on Information Systems(TOIS) (CCF A).
• 2021/04/20: Serve as the PC Member of the 20th China National Conference on Computational Linguistics (CCL 2021), 2021, Huhehaote, China.
• 2021/04/19: Serve as the PC Member of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) (CCF B), 2021, Punta Cana, Republica Dominica.
• 2020/12/29: Serve as the PC Member of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD' 2021) (CCF A), 2021, Singapore.
• 2020/11/09: Serve as the PC member of the 44th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2021) (CCF A), 2021, Montréal, Canada.
• 2020/11/07: Serve as the PC member of the 43rd European Conference on Information Retrieval (ECIR'2021) (CCF C), 2021, Tuscany, Italy.
• 2020/10/23: Won the Champion Award of CIKM2020 AnalytiCup: Alibaba-Tsinghua Adversarial Challenge on Object Detection, 2020, Galway, Ireland.
• 2020/10/16: One patent titled "A Wildlife Video Object Detection Method based on Multiple Feature-Map Fusion" has been granted by the State Intellectual Property Office of China.
• 2020/10/10: One paper titled "Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering" has been published by the Journal of Neural Processing Letters (SCI中科院三区, IF 2.908).
• 2020/09/17: Rewarded with "Elite Plan -- High-Level Creative Talents of Banan District, Chongqing"
• 2020/08/14: Serve as the Member of Chinese Information Preocessing Society of China (CIPS) Task Force on Information Retrieval
• 2020/08/14: Serve as the PC Member of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), (CCF A), 2021, British Columbia, Canada.
• 2020/06/30: Two papers were accepted by the 26th China Conference on Information Retrieval (CCIR 2020), 2020, Xi'an, China.
• 2020/06/06: Serve as the PC member of the 14th ACM International Web Search and Data Mining conference (WSDM 2021) (CCF B), 2021, Jerusalem, Israel.
• 2020/03/19: One paper titled "Multi-View Image Clustering Based on Sparse Coding and Manifold Consensus" has been accepted by the Journal of Neurocomputing, 2020.
• 2020/03/14: Serve as the PC member of the 26th China Conference on Infordmation Retrieval (CCIR 2020), 2020, Xi'an, China.
• 2020/03/07: Serve as the PC member of the 28th International Conference on Computational Linguistics (COLING 2020) (CCF B), 2020, Barcelona, Spain.
• 2020/02/22: Serve as the Member of Expert Committee of Beijing Data Open Contest -- BigData Charity Challenge against COVID-19, 2020, Beijing, China.
• 2020/01/06: Serve as the Competition Co-Chair of the 26th China Conference on Information Retrieval (CCIR 2020), 2020, Xi'an, China.
• 2019/12/24: Serve as the PC member of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2020) (CCF A), 2020, Xi'an, China.
• 2019/12/20: Serve as the Invited Evaluation Experts of the CCF Big Data & Computing Intelligence Contest (CCF BDCI), 2019, Zhengzhou, China.
• 2019/12/10: Serve as the PC Member of the First International Worskhop on Knowledge Graphs for Online Discourse (KnOD) at ESWC2020, Crete, Greece.
• 2019/11/22: A Project of ‘Graduate-Supervisor Team Construction of Chongqing on Intelligent Perception and Computing of Big Image Data’ is funded by the Chongqing Municipal Education Commission, ￥300,000, 2020.01-2022.12.
• 2019/11/07: Serve as the CIKM AnalytiCup Co-Chair of the 29th ACM International Conference on Information and Knowledge Management (CIKM2020), 2020, Galway, Ireland.
• 2019/11/01: Invite University of Düsseldorf Prof.Dr. Stefan Dietze Visit CQUT, 2019, Chongqing, China. [pics]
• 2019/10/17: Attend China National Computer Congress (CNCC), 2019, Suzhou, China. [pics]
• 2019/09/27: Serve as the Session Chair of the 7th CCF BIG DATA Conference (CCFBigdata), 2019, Wuhan, China. [pics]
• 2019/08/23: Serve as the PC Member of CIKM2019 Workshop on Graph Representation Learning and its Applications (GRLA), Beijing, China.
• 2019/08/19: Serve as Communication Member of CCF Task Force on Artificial Intelligence and Pattern Recognition (CCF TCAIPR), Xuzhou, China. [pics]
• 2019/08/17: Serve as Invited Experts for the CCF Big Data and Computational Intelligence Contest (CCF BDCI), Beijing, China.
• 2019/08/08: Give an invited talk on Web Data Retrieval Techniques at Taiyuan University of Technology, Taiyuan, China.
• 2019/07/30: Serve as the PC Member of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), (CCF A), 2020, New York, USA.
• 2019/06/29: Give an invited talk on Geometrical Structure Enhanced Deep Embedded Clustering at L3S Research Center, Leibniz Universität Hannover, Hannover, Germany.
• 2019/06/19: Visiting Professor at GESIS Leibniz Institut für Sozialwissenschaften, Cologne, Germany.
• 2019/05/22: Give an invited talk on Web Data Analysis and Mining at Changan Automobile Co. Ltd., Chongqing, China.
• Serve as the PC Member of AAAI 2019 / SIGIR 2019 / AIRS 2019 / CCIR 2019 / ...

Dr. Zhu is a Full Professor at College of Computer Science and Engineering, Chongqing University of Technology. Prior to that, he was a postdoctoral fellow at L3S Research Center, Leibniz Universität Hannover (德国汉诺威大学L3S研究中心), working with Professor Wolfgang Nejdl from Jul. 2012 to Jan. 2016. He received his PhD degree from Institute of Computing Technology, Chinese Academy of Sciences (中国科学院计算技术研究所), under supervision of Prof. Xueqi Cheng in Jun. 2012.

His research interests includes Information Retrieval, Web Mining, Machine Learning, and Natural Language Processing. He has published many papers in top-tier Conferences and Journals, such as SIGIR, CIKM, WWW, TKDE, etc, and won the Best Paper Awards of CIKM2011 for the work “Intent-Aware Query Similarity”. He served as Area Chair of CIKM2020 and CCIR2020, Session Chair of CCFBigdata2019, and PC member for a number of top-tier Conferences, such as AAAI, SIGIR, COLING, etc. Currently, Prof. Dr. Zhu is the Vice Director of Chongqing Engineering Research Center for Computer Vision Intelligent Technology, the grantee of “Specially-Recruited Experts of Chongqing (重庆市特聘专家)”, and “100 Talents Recruitment Program of Chongqing (重庆市百名海外高层次人才集聚计划人选)”.

• Visiting Professor at GESIS Leibniz Institute for the Social Sciences (Germany), Jun. 2019 - Jul. 2019.

  Worked on social media mining, natural language processing, as well as preparing project propsals and giving presentations.

  Prof. Stefan Dietze

• Postdoctoral Fellow at L3S Research Center at the Leibniz University of Hannover (Germany), Jul. 2012 - Jan. 2016.

  Worked on designing machine learning algorithms for several EU projects, including query recommendation, information retrieval, social image retrieval, web mining; Mentored PhD and Master students in the research group; Contribute to research grant proposals.

  Supervisor: Prof. Wolfgang Nejdl

• Research Intern at Microsoft Research Asia (MSRA), Beijing, China, May 2009 – Aug. 2009.

  Worked on name entity extraction and query recommendation.

  Supervisors: Dr. Gu Xu and Dr. Hang Li

• Conference Chair/Co-Chair :

  - PC Chair of the 28th China Conference on Information Retrieval (CCIR 2022), 2022

  - Publicity Chair of the 5th International Conference on Artificial Intelligence and Big Data (ICAIBD 2022), 2022

  - PC Co-Chair of the 2020 IEEE International Conference on Information Technology,Big Data and Artificial Intelligence (ICIBA 2020), 2020

  - Competition Co-Chair of the 26th China Conference on Information Retrieval (CCIR 2020), 2020

  - AnalytiCup Co-Chair of the 29th ACM International Conference on Information and Knowledge Management (CIKM2020), 2020

  - Session Chair of the 7th CCF BIG DATA Conference (CCFBigdata), 2020

• Program Committee Member:

  - The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023

  - The 3rd International Workshop on Knowledge Graphs for Online Discourse Analysis (TheWebConf2023-Companion), 2023

  - The 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023

  - The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022

  - The 2nd International Workshop on Knowledge Graphs for Online Discourse Αnalysis(KnOD), 2022

  - The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(SIGKDD), 2022

  - The 36th AAAI Conference on Artificial Intelligence (AAAI), 2022

  - The 15th ACM International Web Search and Data Mining conference (WSDM), 2022

  - The 20th China National Conference on Computational Linguistics(CCL), 2021

  - The 2021 Conference on Empirical Methods in Natural Language Processing(EMNLP), 2021

  - The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(SIGKDD), 2021

  - The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021

  - The 43rd European Conference on Information Retrieval(ECIR), 2021

  - The 35th AAAI Conference on Artificial Intelligence (AAAI), 2021

  - The 14th ACM International Web Search and Data Mining conference (WSDM), 2021

  - The 26th China Conference on Infordmation Retrieval (CCIR), 2020

  - The 28th International Conference on Computational Linguistics (COLING), 2020

  - The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020

  - ESWC2020 Worskhop on Knowledge Graphs for Online Discourse (KnOD), 2020

  - The 34th AAAI Conference on Artificial Intelligence (AAAI), 2020

  - CIKM Workshop on Graph Representation Learning and its Applications, 2019

  - The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019

  - The 33th AAAI Conference on Artificial Intelligence (AAAI), 2019

  - The 15th Asia Information Retrieval Societies Conference (AIRS), 2019

  - The 7th CCF BIG DATA Conference (CCFBigdata), 2019

  - The 25th China Conference on Information Retrieval (CCIR), 2019

  - The 24th China Conference on Information Retrieval (CCIR), 2018

  - The 2nd International Conference on Video and Image Processing (ICVIP), 2018

• Journal Article Reviewer:

  - IEEE Transactions on Knowledge and Data Engineering (TKDE)

  - ACM Transactions on Multimedia Computing, Communications and Application (TOMM)

• Director / Vice Director:

  - Vice Director of Chongqing Engineering Research Center for Computer Vision Intelligent Technology

  - Vice Director of the Professional Committee of Chongqing Technology Innovation Alliance for Big Data Industry

• CCF Elite Young Professionals Committee Member (中国计算机学会青年工作委员会委员）

  - Chinese Computer Federation (CCF), 2019

  - Chinese Information Processing Society of China (CIPS), 2019

  China Computer Federation (CCF) Senior Member

• Keynote Speakers

  - "Towards Complex Structural Modeling in Sentiment Analysis" in the 2021 IEEE 2nd International Conference on Information Technology,Big Data and Artificial Intelligence (IEEE ICIBA 2021)

• Communication / Board Member:

  - Senior Member of Chinese Computer Federation (CCF) (中国计算机学会高级会员)

  - Elite Young Professionals Committee Member of Chinese Computer Federation (CCF) (中国计算机学会青年工作委员会委员)

  - Elite Young Professionals Committee Member of Chinese Information Processing Society of China (CIPS) (中国中文信息处理学会青年工作委员会委员)

  - Communication Member of CAAI Task Force on Machine Learning (中国人工智能学会机器学习专委会通讯委员)

  - Communication Member of CCF Task Force on Artificial Intelligence and Pattern Recognition (中国计算机学会人工智能与模式识别专委会通讯委员)

  - Communication Member of CCF Task Force on Big Data(中国计算机学会大数据专委会通讯委员)

  - Member of CIPS Task Force on Information Retrieval(中国中文信息学会信息检索委员会委员)

  - Advisory Board Member of the Cloud Computing and Data Industries Association of Chongqing

  - Invited Evaluation Experts of the CCF Big Data & Computing Intelligence Contest (CCF BDCI)

• Talks:

  - Query Recommendation [Slides]

  - Geometrical Structure Enhanced Deep Embedded Clustering [Slides]

  - Query Recommendation Based on Mining User’s Search Behaviors, The International Forum Artificial Intelligence and New Network Security Technologies, Chongqing, China, Dec. 2018.

  - Towards Complex Structural Modeling in Sentiment Analysis, The 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence, Chongqing, China, Dec. 2021.

2024

• Xiaofei Zhu, Xinsheng Wang, Di Ming∗, Xin Feng, Xiaoyang Liu, Hui Zhao and Yanyan Lan. Label-aware Dual-view Graph Neural Network for Protein-Protein Interaction Classification. Expert Systems With Applications (SCI中科院一区TOP期刊, IF 8.153), Jan. 10, 2024 (Accepted). [pdf]

• Yidan Liu, Xiaofei Zhu*, Yabo Yin. Heterogeneous graph convolutional neural network for argument pair extraction. Journal of Zhejiang University (Engineering Science),May 1, 2024. [pdf]

  刘议丹, 朱小飞*, 尹雅博. 基于异质图卷积神经网络的论点对抽取模型. 浙江大学学报(工学版), May 1, 2024. [pdf]

• Dongdong Hu, Yang Peng, Shuqiu Tan, Xiaofei Zhu*. Drug-Gene Interaction Prediction Method through Cross Granular Subgraph Contrastive Learning and Attention Mechanism Fusion. Journal of Taiyuan University of Technology, Mar. 19, 2024. [pdf]

  胡冬冬, 彭杨, 谭暑秋, 朱小飞*. 跨粒度子图对比学习与注意力融合的药物-基因关系预测. 太原理工大学学报, Mar. 19, 2024. [pdf]

• Yang Peng, Xiaofei Zhu*, Dongdong Hu. A Drug-target Interaction Prediction Method Based on Attention Perception and Modality Fusion. Journal of Taiyuan University of Technology, Mar. 14, 2024. [pdf]

  彭杨, 朱小飞*, 胡冬冬. 基于注意力感知和模态融合的药物-靶点相互作用预测方法. 太原理工大学学报, Mar. 14, 2024. [pdf]

• Zhaoze Gao, Xiaofei Zhu*, Nengqiang Xiang. Semi-supervised Stance Detection with Category-aware Curriculum Learning. Journal of Computer Applications, Jan. 2, 2024 (Accpeted). [pdf]

  高肇泽, 朱小飞*, 项能强. 基于类别感知课程学习的半监督立场检测. 计算机应用, Jan. 2, 2024 (Accpeted). [pdf]

• Nengqiang Xiang, Xiaofei Zhu*, Zhaoze Gao. Information Diffusion Prediction model of Prototype-aware Dual-channel Graph Neural Network. Journal of Computer Applications, Jan. 2, 2024 (Accepted). [pdf]

  项能强, 朱小飞*, 高肇泽. 原型感知双通道图神经网络的信息传播预测模型. 计算机应用, Jan. 2, 2024 (Accpeted). [pdf]

2023

• Xiaofei Zhu*, Gu Tang, Pengfei Wang, Chenliang Li, Jiafeng Guo, Stefan Dietze. Dynamic Global Structure Enhanced Multi-channel Graph Neural Network for Session-based Recommendation. Information Sciences (SCI中科院一区TOP期刊, IF 8.233), 624:324-343, May 2023. [pdf]

• Xiaofei Zhu*, Yidan Liu, Zhuo Chen, Xu Chen, Jiafeng Guo, Stefan Dietze. A mutually enhanced multi‑scale relation‑aware graph convolutional network for argument pair extraction. Journal of Intelligent Information Systems (SCI中科院三区TOP期刊, IF 3.40), Nov. 2023. [pdf] (Accepted)

• Xiaofei Zhu*, Zhanwang Peng, Jiafeng Guo, Stefan Dietze. Generating effective label description for label-aware sentiment classification. Expert Systems With Applications (SCI中科院一区TOP期刊, IF 8.153), 213(2):119194, 1 March 2023. [pdf]

• Xiaofei Zhu*, Chenghong Li, Jiafeng Guo, Stefan Dietze. CNIM-GCN: Consensus Neighbor Interaction-based Multi-channel Graph Convolutional Networks. Expert Systems With Applications (SCI中科院一区TOP期刊, IF 8.153), 226:120178, 15 September 2023. [pdf]

• Ling Zhu, Xiaofei Zhu*, Jiafeng Guo, Stefan Dietze. Exploring rich structure information for aspect-based sentiment classification. Journal of Intelligent Information Systems (SCI中科院三区TOP期刊, IF 3.40), 60(1):97-117, Feb. 2023. [pdf]

• Zhuomin Chen, Li Wang*, Xiaofei Zhu, Stefan Dietze. TSNN: A Topic and Structure Aware Neural Network for Rumor Detection. Neurocomputing (SCI中科院二区TOP期刊, IF 5.719), 531:114-124, 28 April 2023. [pdf]

• Sijin Liu, Xiaofei Zhu*, Zhanwang Peng. Dialogue Sentiment Classification and Act Recognition Based on Multi-task Learning. Chinese Journal of Computers (CCF推荐A类期刊，EI检索, in Chinese), 46(9):1947-1960, Sep. 2023. [pdf]

  刘思进, 朱小飞*, 彭展望. 联合多任务学习的对话情感分类和行为识别. 计算机学报 (CCF推荐A类期刊，EI检索),46(9):1947-1960, Sep. 2023. [pdf]

• Yidan Liu, Xiaofei Zhu*, Yabo Yin. Heterogeneous Graph Convolutional Neural Networks for Argument Pair Extraction. Journal of Zhejiang University (Engineering Science) (EI, in Chinese), Nov. 2023. [pdf] (Accepted)

  刘议丹, 朱小飞*, 尹雅博. 基于异质图卷积神经网络的论点对抽取模型. 浙江大学学报(工学版) (EI检索), Nov. 2023. [pdf] (Accepted)

• Yabo Yin, Xiaofei Zhu*, Yidan Liu. Cross-Domain Recommendation Model Based on Source Domain Data Aug-mentation and Multi-Interest Refinement Transfer. Journal of Zhejiang University (Engineering Science) (EI, in Chinese), Nov. 2023. [pdf](Accepted)

  尹雅博, 朱小飞*, 刘议丹. 源域数据增强与多兴趣细化迁移的跨域推荐模型. 浙江大学学报(工学版) (EI检索), Nov. 2023. [pdf] (Accepted)

• Zicong Dou, Xiaofei Zhu*, Yabo Yin. Implicit Discourse Relation Recognition Based on Dual-Filter Label-aware Contrastive Learning. Journal of Chinese Information Processing(CCF推荐B类期刊, in Chinese), Nov. 2023. [pdf] (Accepted)

  窦紫聪, 朱小飞*, 尹雅博. 基于双过滤标签结构感知对比学习的隐式篇章关系识别. 中文信息学报(CCF推荐B类期刊), Nov. 2023. [pdf](Accepted)

• Changjiang Hu, Xiaofei Zhu*. Interpretable Fake News Detection with Dual Encoder Evidence Distillation Neural Networks. Journal of Chinese Information Processing(CCF推荐B类期刊, in Chinese), Aug. 2023. [pdf](Accepted)

  胡昌江, 朱小飞*. 双编码器证据蒸馏神经网络的可解释性虚假新闻检测. 中文信息学报(CCF推荐B类期刊), Aug. 2023. [pdf](Accepted)

• Gu Tang, Xiaofei Zhu*. Topic-Enhanced Multi-level Graph Neural Network for Session-based Recommendation. Pattern Recognition and Artificial Intelligence (CCF推荐B类期刊，EI检索, in Chinese), 36(2):174-186, Feb. 28, 2023. [pdf]

  唐顾, 朱小飞*. 主题增强的多层次图神经网络会话推荐模型. 模式识别与人工智能 (CCF推荐B类期刊，EI检索), 36(2):174-186, Feb. 28, 2023. [pdf]

• Zhuomin Chen, Li Wang*, Xiaofei Zhu, Zikang Wang. Fake News Detection Based on Adversarial Graph Enhanced Contrastive Learning. Journal of Chinese Information Processing (CSCD检索, in Chinese), 37(6):137-146, Jun. 15, 2023. [pdf]

  陈卓敏, 王莉*, 朱小飞, 王子康. 基于对抗图增强对比学习的虚假新闻检测. 中文信息学报(CSCD检索),37(6):137-146, Jun. 15, 2023. [pdf]

• Xinsheng Wang, Xiaofei Zhu*, Chenghong Li. Label guided multi-scale graph neural network for protein-protein interactions predcition. Journal of Shangdong University (Natural Science) (CSCD检索, in Chinese), 58(12):22-30, Sep. 12, 2023. [pdf]

  王新生, 朱小飞*，李程鸿. 标签指导的多尺度图神经网络蛋白质作用关系预测方法. 山东大学学报(理学版) (CSCD检索), 58(12):22-30, Sep. 12, 2023. [pdf]

• Xinsheng Wang, Xiaofei Zhu*,Xianying Huang. Dual-Channel Knowledge Distillation for Node Classification. Journal of Chinese Computer Systems (CCF推荐B类期刊), 44(10):2284-2290, Oct. 1, 2023. [pdf]

  王新生, 朱小飞*, 黄贤英. 双通道知识蒸馏的节点分类方法. 小型微型计算机系统 (CCF推荐B类期刊), 44(10):2284-2290, Oct. 1, 2023. [pdf]

• Ting Wang, Xiaofei Zhu*, Gu Tang. Few-shot Text Classification Based on Bidirectional Attention and Class Generator. Journal of Chinese Computer Systems (CCF推荐B类期刊), 44(12):2744-2751, Dec. 1, 2023. [pdf]

  王婷, 朱小飞*, 唐顾. 基于双向注意力和类生成器的小样本文本分类. 小型微型计算机系统 (CCF推荐B类期刊), 44(12):2744-2751, Dec. 1, 2023. [pdf]

• Chenghong Li, Xiaofei Zhu*. Dual-Channel Graph Random Convolutional Networks for Semi-supervised Node Classification. Journal of Chinese Computer Systems (CCF推荐B类期刊, in Chinese), 44(8):1656-1664, Aug. 1, 2023. [pdf]

  李程鸿, 朱小飞*. 面向半监督节点分类的双通道图随机卷积网络. 小型微型计算机系统 (CCF推荐B类期刊), 44(8):1656-1664, Aug. 1, 2023. [pdf]

• Zhuomin Chen, Li Wang, Xiaofei Zhu, Stefan Dietze. TSNN: A Topic and Structure Aware Neural Network for Rumor Detection. Neurocomputing (SCI中科院二区TOP期刊, IF 5.719) , Feb. 2023. [pdf]

• Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu. Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751, 2023. [pdf]

2022

• Gu Tang, Xiaofei Zhu*, Jiafeng Guo, Stefan Dietze. Time Enhanced Graph Neural Networks for Session-based Recommendation. Knowledge-Based Systems (SCI中科院一区TOP期刊, IF 8.038), 2022. [pdf]

• Yi Chang, Xiaofei Zhu*. Information Retrieval - 28th China Conference, CCIR 2022. Lecture Notes in Computer Science, 13819, Sep. 2022. [pdf]

• Yaqing Dai, Pengfei Wang, Xiaofei Zhu*. Reasoning over Multiplex Heterogeneous Graph for Target-oriented Opinion Words Extraction. Knowledge-Based Systems (SCI中科院一区TOP期刊, IF 8.038), 236:107723, Jan. 5, 2022. [pdf]

• Yuanzheng Wang* , Xueqi Cheng, Yixing Fan, Xiaofei Zhu, Huasheng Liang, Qiang Yan, Jiafeng Guo. MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities. Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022) (CCF推荐A类顶会), 2022. [pdf]

• Zhanwang Peng, Xiaofei Zhu*, Jiafeng Guo. Label-Guided Dual-Attention Deep Neural Network Model. Pattern Recognition and Artificial Intelligence (CCF推荐B类期刊，EI检索, in Chinese), 35(2):175-184, Feb. 28, 2022. [pdf]

  彭展望, 朱小飞*, 郭嘉丰. 标签指导的双注意力深度神经网络模型. 模式识别与人工智能 (CCF推荐B类期刊，EI检索), 35(2):175-184, 2022. [pdf]

• Lele Duan, Xiaofei Zhu*, Hongyang Song. A Cross-Domain Recommendation Model Based on Target Domain Feature Awareness and Complementary User Transfer. Journal of Chinese Computer Systems (CCF推荐B类期刊), 2022. [pdf]

  段乐乐, 朱小飞*, 宋红阳. 目标域特征感知与互补用户迁移的跨域推荐模型. 小型微型计算机系统 (CCF推荐B类期刊), 2022. [pdf]

• Sijin Liu, Xiaofei Zhu*. Dialogue Sentiment Classification and Act Recognition Based on Multi-task Learning. Proceedings of the 39th CCF National Database Conference (NDBC 2022), Aug. 19-24, 2022. (Best Paper Awards)[pdf]

  刘思进, 朱小飞*. 联合多任务学习的对话情感分类和行为识别. 第39届CCF中国数据库学术会议 (NDBC 2022), Aug. 19-24, 2022. (萨师煊优秀学生论文奖) [pdf]

• Chenghong Li, Xiaofei Zhu*. Cross-space Adversarial Fusion Dual-Channel Graph Convolution Net-works. Proceedings of the 39th CCF National Database Conference (NDBC 2022), Aug. 19-24, 2022. [pdf]

  李程鸿, 朱小飞*. 跨空间对抗融合的双通道图卷积网络. 第39届CCF中国数据库学术会议 (NDBC 2022), Aug. 19-24, 2022. [pdf]

• Ting Wang, Xiaofei Zhu*, Gu Tang. Knowledge-enhanced graph convolutional neural networks for text classification. Journal of Zhejiang University (Engineering Science) (EI检索, in Chinese), 56(2):322-328, Feb. 1, 2022. [pdf]

  王婷, 朱小飞*, 唐顾. 基于知识增强的图卷积神经网络的文本分类. 浙江大学学报(工学版) (EI检索), 56(2):322-328,2022. [pdf]

• Hongyang Song, Xiaofei Zhu*, Jiafeng Guo. Aspect-based Sentiment Classification with Reinforced Dependency Graph. Journal of Taiyuan University of Technology (in Chinese), Accepted, 2022. [pdf]

  宋红阳, 朱小飞*, 郭嘉丰. 基于强化依赖图的方面情感分类. 太原理工大学学报, 录用, 2022. [pdf]

• Gu Tang, Xiaofei Zhu*. Topic-Enhanced Multi-level Graph Neural Network for Session-based Recommendation. The 28th China Conference on Information Retrieval (CCIR 2022), Accepted, 2022. [pdf]

  唐顾, 朱小飞*. 主题增强的多层次图神经网络会话推荐模型. 第28届全国信息检索学术会议, 录用, 2022. [pdf]

• Jia Wang, Xiaofei Zhu*, Gu Tang, Xianying Huang. Graph Convolutional Network Conversational Emotion Recognition Based on Multi-granular Fusion. The 28th China Conference on Information Retrieval (CCIR 2022), Accepted, 2022. [pdf]

  王佳, 朱小飞*, 唐顾，黄贤英. 基于多粒度融合的图卷积网络会话情感分析. 第28届全国信息检索学术会议, 录用, 2022. [pdf]

• Xinsheng Wang, Xiaofei Zhu*, Chenghong Li. Label Guided Multi-Scale Graph Neural Network for PPIs Prediction. The 28th China Conference on Information Retrieval (CCIR 2022), Accepted, 2022. [pdf]

  王新生, 朱小飞*, 李程鸿. 标签指导的多尺度图神经网络的PPIs预测方法. 第28届全国信息检索学术会议, 录用, 2022. [pdf]

2021

• Khoi Duy Vo, Sergej Zerr, Xiaofei Zhu, and Wolfgang Nejdl. Efficient Scalable Temporal Web Graph Store. Proceedings of the 2021 IEEE International Conference on Big Data, Dec. 15-18, 2021. [pdf]

• Xiaofei Zhu*, Ling Zhu, Jiafeng Guo, Shangsong Liang, Stefan Dietze. GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification. Expert Systems with Applications (SCI中科院一区TOP期刊, IF 6.954), 186, Dec. 30, 2021. [pdf]

• Xiaofei Zhu*, Jie Wu, Ling Zhu, Jiafeng Guo, Ran Yu, Katarina Boland, Stefan Dietze. Exploring User Historical Semantic and Sentiment Preference for Microblog Sentiment Classification. Neurocomputing (SCI中科院二区TOP期刊,IF 5.719), 464:141-150, Nov. 13, 2021. [pdf]

• Hongyang Song, Xiaofei Zhu*, Jiafeng Guo. Aspect-based Sentiment Classification with Reinforced Dependency Graph. Proceedings of the CCF Conference on Bigdata, Nov. 5, 2021.

• Xiaofei Zhu*, Khoi Duy Vo, Jiafeng Guo, Jun Xu, Stefan Dietze. Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering. Neural Processing Letters (SCI中科院三区, IF 2.908), 53(1):1-16, Feb. 1, 2021. [pdf]

• Arjun Roy, Pavlos Fafalios, Asif Ekbal, Xiaofei Zhu, Stefan Dietze. Exploiting stance hierarchies for cost-sensitive stance detection of Web documents. Journal of Intelligent Information Systems (IF 1.888), 1-19, May 15, 2021. [pdf]

• Binyan Zhang, Xiaofei Zhu*, Xianying Huang, Wanping Liu. A Novel Microblog Sentiment Classification Method Based on Top-k Pooling. Proceedings of the 4th International Conference on Artificial Intelligence and Big Data (ICAIBD'21), 335-341, 2021. [pdf]

• Binyan Zhang, Xiaofei Zhu*, Zhaohui Xiao, Xianying Huang, Jie Wu. Short text classification based on semi-supervised graph neural network. Journal of Shandong University (Natural Science), 56(5):57-65, May 28, 2021. [pdf] (in Chinese)

• Ye Liu, Xianying Huang, Xiaofei Zhu, Zhaoping Li. Algorithm for defense adversarial example based on adaptive noise addition. Application Research of Computers, 38(3):764- 769, 2021. [pdf] (in Chinese)

• Zhou Yang, Yixing Fan, Xiaofei Zhu*, Jiafeng Guo, Yue Wang. Survey on Modeling Factors of Neural Information Retrieval Model. Journal of Guangxi Normal University (Natural Science Edition), 39(2):1-12, 2021. [pdf] (in Chinese)

2020

• Xiaofei Zhu*, Jiafeng Guo, Wolfgang Nejdl, Xiangwen Liao, Stefan Dietze. Multi-View Image Clustering Based on Sparse Coding and Manifold Consensus. Neurocomputing (SCI中科院二区TOP期刊, IF 5.719), 403:53–62, Aug. 25, 2020. [pdf]

• Binyan Zhang, Xiaofei Zhu*, Zhaohui Xiao, Xianying Huang, Jie Wu. Short Text Classification Based on Semi-supervised Graph Neural Network. The 26th China Conference on Information Retrieval (CCIR'20), 2020.

• Zhou Yang, Yixing Fan, Xiaofei Zhu*, Jiafeng Guo, Yue Wang. A Survey on Information Retrieval Model. The 26th China Conference on Information Retrieval (CCIR'20), 2020.

• Jiancu Chen, Yue Wang, Xiaofei Zhu, Zhangyu Li, Zhihang Lin. Wild Animal Video Object Detection Method Combining Multi-feature Map. Computer Engineering and Applications, 2020, 7(56):221-227.

• Dimitar Dimitrov, Erdal Baran, Pavlos Fafalios, Ran Yu, Xiaofei Zhu, Matthäus Zloch, Stefan Dietze. TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic. The 29th ACM International Conference on Information and Knowledge Management (CIKM'20), 2020, (CCF B). [pdf]

• Arjun Roy, Pavlos Fafalios, Asif Ekbal, Xiaofei Zhu, Stefan Dietze. Exploiting stance hierarchies for cost-sensitive stance detection of Web documents. CoRR abs/2007.15121, 2020. [pdf]

2019

• Anzhi Yang, Xianying Huang, Xiumei Cai, Xiaofei Zhu, Ling Lu. ILSR rumor spreading model with degree in complex network. Physica A (IF 3.263), 531, 2019. [pdf]

• Yue Wang, Jiancu Chen, Xiaofei Zhu, Yuan He. Wild animal occlusion detection method based on entropy and motion offset. Application Research of Computers, To Appear.

• Yihao Zhang, Xiaofei Zhu, Chuanyun Xu, Shidu Dong. Hybrid Recommendation Approach based on Deep Sentiment Analysis of User Reviews and Multi-view Collaborative Fusion. Chinese Journal of Computers, 42(16):1316-1333,2019. [pdf]

  张宜浩, 朱小飞, 徐传运. 基于用户评论的深度情感分析和多视图协同融合的混合推荐方法. 计算机学报 (CCF推荐A类期刊，EI检索), 42(16):1316-1333,2019. [pdf]

• Wanping Liu, Xiao Wu, Wu Yang, Xiaofei Zhu, Shouming Zhong. Modeling cyber rumor spreading over mobile social networks: A compartment approach. Applied Mathematics and Computation (IF 4.091), 343:214-229, 2019. [pdf]

2018

• Xiaofei Zhu*, Khoi Duy Vo, Jiafeng Guo and Jianwu Long. Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering. The 27st ACM International Conference on Information and Knowledge Management (CIKM'18): 2018, (CCF B)

• Jie Wu, Xiaofei Zhu*, Yihao Zhang and Wu Yang. User Sentiment Tendency Aware Based Micro-blog Sentiment Analysis Method. The 24st China Conference on Information Retrieval (CCIR), 2018.

• Zhou Yang, Qingfeng Lan, Jiafeng Guo, Fanyixing Fan, Xiaofei Zhu*, Yanyan Lan and Yue Wang. A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval. The 24st China Conference on Information Retrieval (CCIR), 2018.

• Jianwu Long, Xin Feng, Xiaofei Zhu, Jianxun Zhang, Guanglei Gou. Efficient Superpixel-Guided Interactive Image Segmentation Based on Graph Theory. Symmetry 10(5):169, 2018. [pdf]

2017

• Jiafeng Guo, Xiaofei Zhu, Yanyan Lan, Xueqi Cheng. Modeling users’ search sessions for high utility query recommendation. Information Retrieval Journa (IF 2.293), 2017, 20(1):4-24.

2016

• Ran Yu, Ujwal Gadiraju, Xiaofei Zhu, Besnik Fetahu, Stefan Dietze. Towards Entity Summarization on Structured Web Markup. The Semantic Web, pp.69-73, 2016.

• Khoi Duy Vo, Tuan Tran, Tu Ngoc Nguyen, Xiaofei Zhu, Wolfgang Nejdl. Can We Find Documents in Web Archives without Knowing their Contents? Proceedings of the 8th ACM Conference on Web Science Pages 173-182, 2016.

2015

• Tu Ngoc Nguyen, Nattiya Kanhabua, Claudia Niederée, Xiaofei Zhu. A Time-aware Random Walk Model for Finding Important Documents in Web Archives. The 38th International ACM SIGIR conference on research and development in Information Retrieval (SIGIR’15): 915-918, 2015.

2014

• Xiaofei Zhu*, Wolfgang Nejdl, Mihai Georgescu. An Adaptive Teleportation Random Walk Model for Learning Social Tag Relevance. The 37th International ACM SIGIR conference on research and development in Information Retrieval (SIGIR’14): 2014, 223-232. (CCF A)

• Mihai Georgescu, Xiaofei Zhu. Aggregation of Crowdsourced Labels Based on Worker History. The 4th International Conference on Web Intelligence, Mining and Semantic (WIMS’14): 2014:37.

• Tuan Tran, Mihai Georgescu, Xiaofei Zhu, Nattiya Kanhabua. Analysing the duration of trending topics in Twitter using wikipedia. The ACM Web Science 2014 Conference (WebSci'14): 251-252.

• Sergej Zerr, Stefan Siersdorfer, José San Pedro, Jonathon S. Hare, Xiaofei Zhu. NicePic!: a system for extracting attractive photos from flickr streams.The 37th International ACM SIGIR conference on research and development in Information Retrieval (SIGIR’14): 1259-1260.

• Babak Loni, Jonathon Hare, Mihai Georgescu, Michael Riegler,Xiaofei Zhu, Mohamed Morchid, Richard Dufour, Martha Larson. Getting by with a Little Help from the Crowd: Practical Approaches to Social Image Labeling. Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia, pp. 69-74 , 2014, Florida, USA.

2013

• Xiaofei Zhu*, Jiafeng Guo, Xueqi Cheng, Yanyan Lan, Wolfgang Nejdl. Recommending High Utility Query via Session-Flow Graph. The 35th European Conference on Information Retrieval (ECIR’13): 2013, 642-655. (CCF C)

• Mihai Georgescu, Xiaofei Zhu. L3S at MediaEval 2013 Crowdsourcing for Social Multimedia Task. Proceedings of the MediaEval 2013 Workshop, Barcelona, Spain, October 18-19, 2013.

• Xiaofei Zhu*, Jiafeng Guo, Xueqi Cheng, Yanyan Lan. A Two-Step Utility Query Recommendation Method Based on Absorbing Random Walk. Journal of Computer Research and Development, 2013, 50(12):2603-2611. (in Chinese)

• Xueqi Cheng, Pan Du, Jiafeng Guo, Xiaofei Zhu, Yixin Chen. Ranking on Data Manifold with Sink Points. IEEE Transactions on Knowledge Data Engineering (IF 6.977) , 2013, 25(1): 177-191.

2012

• Xiaofei Zhu*, Jiafeng Guo, Xueqi Cheng, Yanyan Lan. More Than Relevance: High Utility Query Recommendation by Mining Users' Search Behaviors. The 21st ACM International Conference on Information and Knowledge Management (CIKM'12): 2012, 1814-1818. (CCF B) [pdf]

2011

• Xiaofei Zhu*, Jiafeng Guo, Xueqi Cheng, Pan Du, Hua-Wei Shen. A Unified Framework for Recommending Diverse and Relevant Queries. The 20th International Conference on World Wide Web (WWW'11), 37-46, 2011. (CCF A)

• Xiaofei Zhu*, Jiafeng Guo, Xueqi Cheng, Pan Du. Query Recommendation Based on Manifold Ranking. Journal of Chinese Information Processing, 25(2): 38-43, 2011.

• Jiafeng Guo, Xueqi Cheng, Gu Xu, Xiaofei Zhu. Intent-Aware Query Similarity. The 20th ACM International Conference on Information and Knowledge Management (CIKM'11):259-268, 2011.

2010

• Xiaofei Zhu*, Jiafeng Guo, Xueqi Cheng. Recommending Diverse and Relevant Queries with A Manifold Ranking Based Approach. Workshop on Query Representation and Understanding. The 33th International ACM SIGIR conference on research and development in Information Retrieval (SIGIR ’10 )

• Xiaofei Zhu*, Jiafeng Guo, Xueqi Cheng, Pan Du. Query Recommendation Based on Manifold Ranking. In YWCL 2010, 2010,364-370. (Best Paper Award)

• Xiaomin Yu, Jiafeng Guo, Xiaofei Zhu, Feng Guan, Xueqi Cheng. Information Retrieval Key Technology and High-Performance Retrieval System Design [J]. Information Technology Letter,2010,8(4):39-51. (in Chinese)

• Key Technology Research on Social Media User Personality Profile Analysis Based on Modeling Complex Associated Data

  Funded by the Natural Science Foundation of Chongqing, China, ￥100,000, 2022.08-2025.07.

• Research on Social Media-Oriented User Personality Tendency Analysis and Its Application in Network Rumor Spreading

  Funded by the National Natural Science Foundation of China, ￥120,000, 2022.01-2022.12.

• Graduate-Supervisor Team Construction of Chongqing on Intelligent Perception and Computing of Big Image Data

  Funded by the Chongqing Municipal Education Commission, ￥300,000, 2020.01-2022.12.

• Research on the Key Technologies for Retrieval of Social Media's Big Image Data

  Funded by Chongqing Research Program of Basic Research and Frontier Technology (Key Project), ￥200,000, 2017.07-2020.09.

• Intelligent Question Answering Robots-Based Online Service System

  Funded by ZENO Big Data Analysis Co. Ltd, ￥150,000, 2018.11-2019.10.

• Blockchain-Based Artificial Intelligence Computing Resource Sharing System

  Funded by Deep Computing Technology Co. Ltd, ￥100,000, 2018.06-2019.05.

• Concise Preservation by combining Managed Forgetting and Contextualized Remembering — Managed Forgetting Methods

  Funded by European Union’s Seventh Framework Programme for Research, €850,000, 2013.02-2016.01

• Human-Enhanced Time-Aware Multimedia Search — Social and Human Interaction

  Funded by European Union’s Seventh Framework Programme for Research, €865,000, 2012.07-2014.09

• “Gute Arbeit” nach dem Boom(Re-SozIT).

  Funded by Bundesministerium für Bildung und Forschung，€410,000, 2012.10–2015.09

• Research on Large Scale User Data Based Recommendation Techniques

  Funded by National Natural Science Foundation of China, ￥200,000, 2011.01-2013.12

• A Deep Relevance Matching Model based Ad-hoc Retrieval Approach, Granted by the State Intellectual Property Office of China, 2021-10-15.
• Hybrid Recommendation Approach based on Deep Sentiment Analysis of User Reviews and Multi-view Collaborative Fusion, Granted by the State Intellectual Property Office of China, 2021-9-21.
• A Wildlife Video Object Detection Method based on Multiple Feature-Map Fusion, Granted by the State Intellectual Property Office of China, 2020-10-16.

• 2022.09 Innovation Leading Talents of Chongqing Talent Plan (重庆英才-创新领军人才)
• 2020.10 Champion Award of CIKM2020 AnalytiCup: Alibaba-Tsinghua Adversarial Challenge on Object Detection (国际数据挖掘大赛CIKM AnalytiCup:目标检测对抗攻击大赛冠军)
• 2020.09 Excellent Supervisor Award of Data Modeling Competition of Chongqing Rural Commercial Bank (重庆农商行数据建模挑战赛优秀指导教师)
• 2020.08 Elite Plan -- High-Level Creative Talents of Banan District, Chongqing (重庆市巴南区“菁英计划”高层次创新人才)
• 2019.01 High-Level Talents of Chongqing University of Technology (重庆理工大学高层次人才)
• 2017.12 Excellent Supervisor Award of China Undergraduate Mathematical Contest in Modeling, Chongqing Division (全国大学生数学建模竞赛重庆赛区优秀指导教师)
• 2016.12 Specially-Recruited Experts of Chongqing (重庆市特聘专家)
• 2016.12 100 Talents Recruitment Program of Chongqing (重庆市百名海外高层次人才集聚计划人选)
• 2011.10 Best Paper Award, ACM International Conference on Information and Knowledge Management (ACM国际信息与知识管理会议CIKM最优论文奖)
• 2010.08 Best Paper Award, China Youth Workshop on Computational Linguistics (全国青年计算语言学研讨会最优论文奖)

• Current Students :

  2023

  -Yang Jiang (蒋杨), Yaochen Li(李曜辰), Tingting Zhang(张婷婷), Peng Shan(单鹏), Shuming Jiang(蒋书明), Ling Tan(谭玲), Zhengdong Huang(黄振东)

  2022

  -Jiawei Cheng (程佳玮), Ke Gan (甘轲), Yuyang Lai (赖雨阳), Minqin Li(李泯沁), Rongrong Ma(马蓉蓉), Renhui Luo(罗仁辉), Yuanjin Zhang(张晋源), Junhao Cao(曹均皓), Liang Li(李亮)

  2021

  - Yidan Liu (刘议丹), Zicong Dou (窦紫聪), Yabo Yin (尹雅博), Changjiang Hu (胡昌江), Nengqiang Xiang (项能强), Yang Peng (彭杨), Dongdong Hu (胡冬冬)，Zhaoze Gao (高肇泽)，Xiaoke Li (李潇可)

  2020

  - Sijin Liu (刘思进), Gu Tang (唐顾), Lele Duan (段乐乐), Xinsheng Wang (王新生),Jia Wang (王佳), Chenghong Li (李程鸿)

  2019

  - Ling Zhu (朱玲), Zhanwang Peng (彭展望), Ting Wang (王婷), Hongyang Song (宋红阳)




• Past Students:

  - Bingyan Zhang (张斌艳) 2018.09 - 2021.06, now Phd Candidate at Chongqing University(重庆大学), China

  - Jie Wu (吴洁), 2017.09 - 2020.06, now Researcher at Baidu (百度), China

  - Zhou Yang (杨州), 2016.09-2019.06, now Researcher at Sogou (搜狗), China

Room B504, 1st Lab Building, Chongqing University of Technology, No. 69 Hongguang Avenue, Banan District, Chongqing 400054, China.