Jiafeng Guo

Please find more publications on my Google Scholar profile.

2024

• Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang and Xueqi Cheng. A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. The 17th ACM International Conference on Web Search and Data Mining (WSDM 2024).
• Yuan Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo and Xueqi Cheng. Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. The 38th AAAI Conference on Artificial Intelligence (AAAI 2024).
• Runze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang and Xueqi Cheng. RIGHT: Retrieval-augmented Generation for Mainstream Hashtag Recommendation. The 46th European Conference on Information Retrieval (ECIR 2024).
• Keping Bi, Xiaojie Sun, Jiafeng Guo and Xueqi Cheng. Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning. The 46th European Conference on Information Retrieval (ECIR 2024).
• Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo and Maarten de Rijke. Recent Advances in Generative Information Retrieval. The 46th European Conference on Information Retrieval (ECIR 2024).

2023

• Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan and Xueqi Cheng. From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023).
• Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Saiping Guan, Yutao Zeng, Jiafeng Guo and Xueqi Cheng. Temporal Knowledge Graph Reasoning Based on N-tuple Modeling. Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023).
• Yubao Tang, Ruqing Zhang, Jiafeng Guo and Maarten de Rijke. Recent Advances in Generative Information Retrieval. 1st International ACM SIGIR Conference on Information Retrieval in the Asia Pacific (SIGIR-AP 2023).
• Shiyu Ni, Keping Bi, Jiafeng Guo and Xueqi Cheng. A Comparative Study of Training Objectives for Clarification Facet Generation. 1st International ACM SIGIR Conference on Information Retrieval in the Asia Pacific (SIGIR-AP 2023).
• Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan and Xueqi Cheng. Continual Learning for Generative Retrieval over Dynamic Corpora. The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023).
• Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen and Xueqi Cheng. L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023).
• Yuan Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan and Xueqi Cheng. Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023).
• Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo and Xueqi Cheng. Inducing Causal Structure for Abstractive Text Summarization. The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023).
• Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Hongyu Shan, Qishen Zhang and Zhongyi Liu. Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023).
• Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin and Xueqi Cheng. Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. 29th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023).
• Chen Wu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan and Xueqi Cheng. PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models. ACM Transactions on Information Systems (TOIS).
• Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo and Xueqi Cheng. Visual Reasoning: From State to Transformation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
• Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo and Xueqi Cheng. Semantic Structure Enhanced Event Causality Identification. The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023).
• Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan and Xueqi Cheng. A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023).
• Yuan Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan and Xueqi Cheng. Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023).
• Yiyi Liu, Ruqing Zhang, Yixing Fan, Jiafeng Guo and Xueqi Cheng. Prompt Tuning with Contradictory Intentions for Sarcasm Recognition. The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023 Main).
• Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin and Xueqi Cheng. Rich Event Modeling for Script Event Prediction. The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23).
• Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo and Xueqi Cheng. Learning Adversarially Robust Sparse Networks via Weight Reparameterization. The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23).
• Lulu Yu, Yiting Wang, Xiaojie Sun, Keping Bi and Jiafeng Guo. Feature-Enhanced Network with Hybrid Debiasing Strategies for Unbiased Learning to Rank. WSDM Cup 2023.
• Xiaojie Sun, Yiting Wang, Lulu Yu, Keping Bi and Jiafeng Guo. Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search. WSDM Cup 2023.
• Xiaofei Zhu, Gu Tang, Pengfei Wang, Chenliang Li, Jiafeng Guo and Stefan Dietze. Dynamic Global Structure Enhanced Multi-channel Graph Neural Network for Session-based Recommendation. Information Sciences.
• Ling Zhu, Xiaofei Zhu, Jiafeng Guo and Stefan Dietze. Exploring rich structure information for aspect-based sentiment classification. Journal of Intelligent Information Systems.
• Xiaofei Zhu, Zhangwang Peng, Jiafeng Guo and Stefan Dietze. Generating effective label description for label-aware sentiment classification. Expert Systems with Applications.
• Xiaofei Zhu, Chenghong Li, Jiafeng Guo and Stefan Dietze. CNIM-GCN: Consensus Neighbor Interaction-based Multi-channel Graph Convolutional Networks. Expert Systems with Applications.

2022

• Wenxiang Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang and Xueqi Cheng. Visual Named Entity Linking: A New Dataset and A Baseline. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 Findings)
• Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo and Xueqi Cheng. Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 Findings)
• Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo and Xueqi Cheng. HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 Findings)
• Kailin Zhao, Xiaolong Jin, Saiping Guan, Jiafeng Guo and Xueqi Cheng. MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification. Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022)
• Yequan Wang, Xiang Li, Aixin Sun, Xuying Meng, Huaming Liao and Jiafeng Guo. CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction. Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022)
• Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan and Xueqi Cheng. Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022).
• Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang and Xueqi Cheng. Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022).
• Chen Wu, Ruqing Zhang, Jiafeng Guo, We Chen, Yixing Fan, Maarten de Rijke and Xueqi Cheng. Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022).
• Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan and Xueqi Cheng. CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022).
• Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan and Xueqi Cheng. A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval. The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022).
• Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan and Xueqi Cheng. Discriminative Language Model via Self-Teaching for Dense Retrieval. The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022).
• Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang and Shaoping Ma. Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models. The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022).
• Gu Tang, Xiaofei Zhu, Jiafeng Guo, Stefan Dietze. Time enhanced graph neural networks for session-based recommendation. Knowledge-Based Systems.
• Yixing Fan, Xiaohui Xie, Yinqiong Cai, Jia Chen, Xinyu Ma, Xiangsheng Li, Ruqing Zhang and Jiafeng Guo*. Pre-training Methods in Information Retrieval. Foundations and Trends in Information Retrieval (FnTIR). Accepted.
• Saiping Guan, Xueqi Cheng, Long Bai, Fujun Zhang, Zixuan Li, Yutao Zeng, Xiaolong Jin and Jiafeng Guo*. What is Event Knowledge Graph: A Survey. IEEE Transactions on Knowledge and Data Engineering (TKDE).
• Yuanzheng Wang, Xueqi Cheng, Yixing Fan, Xiaofei Zhu, Huasheng Liang, Qiang Yan and Jiafeng Guo. MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities. The 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI2022).
• Yiyi Liu, Yequan Wang, Aixin Sun, Xuying Meng, Jing Li and Jiafeng Guo. A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict. 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL2022 Findings).
• Chen Wu, Ruqing Zhang, Jiafeng Guo*, Yixing Fan and Xueqi Cheng. Are Neural Ranking Models Robust? ACM Transactions on Information Systems (TOIS). Accepted.
• Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan and Xueqi Cheng. Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2022).
• Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan and Xueqi Cheng. GERE: Generative Evidence Retrieval for Fact Verification. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2022).
• Sihao Yu, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Zizhen Wang and Xueqi Cheng. A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty. 2022 Conference on Computer Vision and Pattern Recognition  (CVPR2022).
• Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo and Xueqi Cheng. Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022).
• Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang and Shaoping Ma. Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. The 15th ACM International Conference on Web Search and Data Mining. (WSDM 2022). (Best Paper Award)

2021

• Jiafeng Guo, Yinqiong Cai, Yixing Fan, Fei Sun, Ruqing Zhang, Xueqi Cheng. Semantic Models for the First-stage Retrieval: A Comprehensive Review. ACM Transactions on Information Systems (TOIS).
• Long Bai, Saiping Guan, Jiafeng Guo, Zixuan Li, Xiaolong Jin, and Xueqi Cheng. Integrating Deep Event-level and Script-Level Information for Script Event Prediction. The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP2021).
• Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, and Xueqi Cheng. FedMatch: Federated Learning Over Heterogeneous Question Answering Data. 30th ACM International Conference on Information and Knowledge Management (CIKM2021).
• Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang and Shaoping Ma. Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance.. 30th ACM International Conference on Information and Knowledge Management (CIKM2021).
• Ruqing Zhang, Jiafeng Guo*, Lu Chen, Yixing Fan, and Xueqi Cheng. A Review on Question Generation from Natural Language Text. ACM Transactions on Information Systems (TOIS). Accepted.
• Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan and Xueqi Cheng. A Discriminative Semantic Ranker for Question Retrieval. The 7th ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR2021).
• Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, and Xueqi Cheng. B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2021).
• Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang and Xueqi Cheng. Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2021).
• Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang and Shaoping Ma. Optimizing Dense Retrieval Model Training with Hard Negatives.. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2021).
• Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang and Xueqi Cheng. Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).
• Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng. A Linguistic Study on Relevance Modeling in Information Retrieval. Proceedings of The Web Conference 2021 (WWW 2021).
• Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang. Information retrieval: a view from the Chinese IR community.. Frontiers Comput. Sci. 15(1): 151601 (2021)
• Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng. Transformation Driven Visual Reasoning.. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. (CVPR 2021). [code] [demo]
• Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng. PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021). [code]
• Lixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, Xueqi Cheng. Beyond Relevance: Trustworthy Answer Selection via Consensus Verification. Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021).
• Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng. Learning to Truncate Ranked Lists for Information Retrieval. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021).
• Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng. Sketch and Customize: A Counterfactual Story Generator. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021).

2020

• Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng. On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation. Proceedings of the 37th International Conference on Machine Learning (ICML 2020).
• Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan and Xueqi Cheng. Query Understanding via Intent Description Generation. The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020).
• Lixin Su, Jiafeng Guo, Ruqing Zhang, Fan Yixing, Yanyan Lan and Xueqi Cheng. Continual Domain Adaptation for Machine Reading Comprehension. The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020).
• Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng. Ranking Enhanced Dialogue Generation. The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020).
• Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng. Beyond Language: Learning Commonsense from Images for Reasoning. The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020).
• Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang and Xiaozhao Wang. Match^2: A Matching over Matching Model for Similar Question Identification. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Xi'An, China (SIGIR 2020).
• Xiaofei Zhu, Jiafeng Guo, Wolfgang Nejdl, Xiangwen Liao, Stefan Dietze. Multi-view image clustering based on sparse coding and manifold consensus. Neurocomputing.
• Xiaofei Zhu, Khoi Duy Do, Jiafeng Guo, Jun Xu, Stefan Dietze. Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering Neural Processing Letters.
• Ruqing Zhang, Jiafeng Guo*, Yixing Fan, Yanyan Lan, and Xueqi Cheng. Dual-factor Generation Model for Conversation. ACM Transactions on Information Systems (TOIS ACCEPTED).
• Cheng Zhao, Zhibin Zhang, Peng Xu, Tianqi Zheng, and Jiafeng Guo. Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine. The 36th IEEE International Conference on Data Engineering (ICDE 2020).
• Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang and Xueqi Cheng. NeuInfer: Knowledge Inference on N-ary Facts. The 58th annual meeting of the Association for Computational Linguistics (ACL), Seattle, Washington (ACL 2020).
• Yutao Zeng, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng. Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings. Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020)
• Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, and Xueqi Cheng. Structure Learning for Headline Generation. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20).
• Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan and Xueqi Cheng. Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension. The 13th ACM International Conference on Web Search and Data Mining (WSDM 2020).
• Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W Bruce Croft, Haiqing Chen. IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. Proceedings of The Web Conference 2020 (WWW 2020).
• Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang. Bidirectional Dependency-Guided Attention for Relation Extraction. The 12th Asian Conference on Machine Learning, Bangkok, Thailand (ACML 2020).

2019

• Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft and Xueqi Cheng. A Deep Look into Neural Ranking Models for Information Retrieval. Information Processing & Management (IPM). [online version]
• Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan and Xueqi Cheng. Controlling Risk of Web Question Answering. The 42st International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France. (SIGIR 2019).
• Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan and Xueqi Cheng. Outline Generation: Understanding the Inherent Content Structure of Documents. The 42st International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France. (SIGIR 2019).
• Pengfei Wang, Yu Fan, Shuzi Niu, Ze Yang, Yongfeng Zhang and Jiafeng Guo. Hierarchical Matching Network for Crime Classification. The 42st International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France. (SIGIR 2019).
• Jiafeng Guo, Yixing Fan, Xiang Ji and Xueqi Cheng. MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. The 42st International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France. (SIGIR 2019).
• Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo. DAPA: The WSDM 2019 Workshop on Deep mAtching in Practical Applications. The 12th ACM International Conference on Web Search and Data Mining (WSDM 2019).
• Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo and Xueqi Cheng. ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. The 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy (ACL 2019).
• Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo, Xueqi Cheng. Event Detection with Multi-Order Graph Convolution and Aggregated Attention. 2019 Conference on Empirical Methods in Natural Language Processing, Hong Kong, China (EMNLP 2019).
• Guoxin Cui, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng. Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends. IEEE Access 2019.
• Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su and Xueqi Cheng. HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).
• Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu and Xueqi Cheng. Differentiated Distribution Recovery for Neural Text Generation. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).
• Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang and Xueqi Cheng. An Adaptive Framework for Conversational Question Answering. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).
• Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng. Teaching Machines to Extract Main Content for Machine Reading Comprehension. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).
• Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng. Understanding and Improving Neural Ranking Models From a Term Dependence View. The 15th Asia Information Retrieval Societies Conference (AIRS-19).
• Xiangbin Meng, Pengfei Wang, Haoran Yan, Liutong Xu, Jiafeng Guo and Yixing Fan. Multi-Graph Convolution Network with Jump Connection for Event Detection. The 31st International Conference on Tools with Artificial Intelligence (ICTAI 2019).

2018

• Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng. Question Headline Generation for News Articles. The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018).
• Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu and Xueqi Cheng. Neighborhood Voting: A Novel Search Scheme for Hashing. The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018).
• Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, and Xueqi Cheng. Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, Ann Arbor Michigan, U.S.A. (SIGIR 2018).
• Qingyao Ai, Keping Bi, Jiafeng Guo and W. Bruce Croft. Learning a Deep Listwise Context Model for Ranking Refinement. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, Ann Arbor Michigan, U.S.A. (SIGIR 2018).
• Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo and W. Bruce Croft. Unbiased Learning to Rank with Unbiased Propensity Estimation. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, Ann Arbor Michigan, U.S.A. (SIGIR 2018).
• Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, Bruce Croft, Jun Huang and Haiqing Chen. Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, Ann Arbor Michigan, U.S.A. (SIGIR 2018).
• Yue Feng, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, and Xueqi Cheng. From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, Ann Arbor Michigan, U.S.A. (SIGIR 2018).
• Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng. Variance Reduction of Policy Gradient Bandit Problem via Antithetic Variates. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, Ann Arbor Michigan, U.S.A. (SIGIR 2018).
• Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, and Xueqi Cheng. Learning to Control the Specificity in Neural Response Generation. The 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia (ACL 2018).
• Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, and Xueqi Cheng. Tailored Sequence to Sequence Models for Different Conversation Scenarios. The 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia (ACL 2018).
• Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, and Xueqi Cheng. Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. IJCAI-ECAI-18, Stockholm, Sweden (IJCAI 2018).
• Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng. Spherical Paragraph Model. The 40th European Conference on Information Retrieval, Grenoble, France (ECIR 2018).
• Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng. Aggregating Neural Word Embeddings for Document Representation. The 40th European Conference on Information Retrieval, Grenoble, France (ECIR 2018).
• Guoxin Cui, Jun Xu,Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng. MQGrad: Reinforcement Learning of Gradient Qantization in Parameter Server. The 2018 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2018).
• Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng. Multi-Page Search with Reinforcement Learning to Rank. The 2018 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2018).
• Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Jun Xu, and Xueqi Cheng. RI-Match: Integrating both Representations and Interactions for Deep Semantic Matching. The fourteenth Asia Information Retrieval Societies Conference (AIRS 2018).
• Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng. Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph. the 32th AAAI Conference on Artificial Intelligence, New Orleans, USA (AAAI 2018).

2017

• Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang and Xueqi Cheng. Learning Visual Features from Snapshots for Web Search. Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM 2017), Singapore. (Best Full Paper Runner-up)
• Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu and Xueqi Cheng. DeepRank: a New Deep Architecture for Relevance Ranking in Information Retrieval. Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM 2017), Singapore.
• Jiafeng Guo, Xiaofei Zhu, Yanyan Lan, and Xueqi Cheng. Modeling Users' Search Sessions for High Utility Query Recommendation. Information Retrieval Journal (IRJ), 2017.
• Yixing Fan, Liang Pang, Jianpeng Hou, Jiafeng Guo, Yanyan Lan and Xueqi Cheng. MatchZoo: A Toolkit for Deep Text Matching. Neu-IR: The SIGIR 2017 Workshop on Neural Information Retrieval, Tokyo, 2017. 
• Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu and Xueqi Cheng. A Deep Investigation of Deep IR Models. Neu-IR: The SIGIR 2017 Workshop on Neural Information Retrieval, Tokyo, 2017.
• Liu Yang, Hamed Zamani, Yongfeng Zhang, Jiafeng Guo and Bruce Croft. Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation. Neu-IR: The SIGIR 2017 Workshop on Neural Information Retrieval, Tokyo, 2017.
• Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo and Xueqi Cheng. Locally Smoothed Neural Networks. The 9th Asian Conference on Machine Learning (ACML 2017), Seoul, Korea.
• Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, and Xueqi Cheng. Adapting Markov Decision Process for Search Result Diversification. Proceedings of the 40th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '17), Tokyo, Japan.
• Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng. Reinforcement Learning to Rank with Markov Decision Process. Proceedings of the 40th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2017), Tokyo, Japan.
• Jun Xu, Long Xia, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng. Directly Optimize Diversity Evaluation Measures: a New Approach to Search Result Diversification. ACM Transactions on Intelligent Systems and Technology (TIST), Volume 8, Issue 3, Article 41, pp. 41:1-41:26, Jan. 2017.
• Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng. A Survey on Distributed Word Representation. Journal of Chinese Information Processing, Volume 39, 2017.
• Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng. A Context-aware Deep Sentence Matching Model. Journal of Chinese Information Processing, Volume 31, 2017.
• Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Shengxian Wan, and Xueqi Cheng. A Survey on Deep Text Matching. Chinese Journal of Computers, Volume 40, 2017.
• Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, and Xueqi Cheng. A Local Bidirectional Long Short Term Memory for Text Classification. Journal of Chinese Information Processing, Volume 31, 2017.
• Shengxian Wan, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng. Pretrain Deep Models by Distant Supervision for Weibo Sentiment Analysis. Journal of Chinese Information Processing, Volume 31, 2017.

2016

• Jiafeng Guo, Yixing Fan, Qiqing Yao, and W. Bruce Croft. A Deep Relevance Matching Model for Ad-hoc Retrieval, the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, USA. 
• Jiafeng Guo, Yixing Fan, Qiqing Yao, and W. Bruce Croft. Semantic Matching by Non-Linear Word Transportation for Information Retrieval, the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, USA. 
• Liu Yang, Qingyao Ai, Jiafeng Guo, and W. Bruce Croft. aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model, the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, USA.
• Qingyao Ai, Liu Yang, Jiafeng Guo, and W. Bruce Croft. Analysis of the Paragraph Vector Model for Information Retrieval, In Proceedings of The 2nd ACM International Conference on the Theory of Information Retrieva (ICTIR 2016), Newark, USA.
• Tianyou Guo, Jun Xu, Xiaohui Yan, Jianpeng Hou, Ping Li, Zhaohui Li, Jiafeng Guo, and Xueqi Cheng. Ease the Process of Machine Learning with Dataflow, the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, USA. Demo paper. [demo]
• Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng. A Study of MatchPyramid Models on Ad-hoc Retrieval, Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval 
• Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng. SparseWord Embeddings Using l1 Regularized Online Learning, the 25th International Joint Conference on Artificial Intelligence, New York City, USA. (IJCAI 2016)
• Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng. Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN, the 25th International Joint Conference on Artificial Intelligence, New York City, USA. (IJCAI 2016)
• Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng. Modeling Document Novelty with Neural Tensor Network for Search Result Diversification, the 39th Annual ACM SIGIR Conference, Pisa, Italy (SIGIR 2016)
• Qingyao Ai, Liu Yang, Jiafeng Guo, W. Bruce Croft. Improving Language Estimation with the Paragraph Vector Model for Ad-hoc Retrieval, the 39th Annual ACM SIGIR Conference, Pisa, Italy (SIGIR 2016) [Accepted]
• Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng. Multi-task Representation Learning for Demographic Prediction, the 38th European Conference on Information Retrieval, Padua, Italy (ECIR 2016)
• Liu Yang, Qingyao Ai, Damiano Spina, Ruey-Cheng Chen, Liang Pang, W. Bruce Croft, Jiafeng Guo, Falk Scholer. Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval, the 38th European Conference on Information Retrieval, Padua, Italy (ECIR 2016)
• Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng. Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations, the 13th AAAI Conference on Artificial Intelligence, Phoenix, Arizona, USA. (AAAI 2016)
• Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng. Text Matching as Image Recognition, the 13th AAAI Conference on Artificial Intelligence, Phoenix, Arizona, USA. (AAAI 2016) 
• Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng. A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations, the 13th AAAI Conference on Artificial Intelligence, Phoenix, Arizona, USA. (AAAI 2016) 
• Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng. SPAN: Understanding a Question with Its Support Answers, the 13th AAAI Conference on Artificial Intelligence, Phoenix, Arizona, USA. (AAAI 2016)
• Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng. Your Cart tells You: Inferring Demographic Attributes from Purchase Data, the 9th ACM International Conference on Web Search and Data Mining, San Francisco, California, USA. (WSDM 2016)

2015

• Yaogong Zhang, Jun Xu, Yanyan Lan, Jiafeng Guo, Maoqiang Xie, Yalou Huang, Xueqi Cheng. Modeling Parameter Interactions in Ranking SVM, the 24th ACM International on Conference on Information and Knowledge Management, Melbourne, Australia. (CIKM 2015).
• Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng. LearningWord Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations, the 53rd Annual Annual Meeting of the Association for Computational Linguistics, Beijing, China. (ACL 2015).
• Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, Xueqi Cheng. Learning Hierarchical Representation Model for Next Basket Recommendation, the 38th Annual ACM SIGIR Conference, Santiago, Chile. (SIGIR 2015).
• Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng. Learning Maximal Marginal Relevance Model via Directy Optimizing Diversity Evaluation Measures, the 38th Annual ACM SIGIR Conference, Santiago, Chile. (SIGIR 2015).
• Shuzi Niu, Yanyan Lan, Jiafeng Guo, Shengxian Wan, Xueqi Cheng, Jun Xu. Which Noise Affects Algorithm Robustness for Learning to Rank, Information Retrieval Journal. (Accepted)
• Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng, Jun Xu. A Probabilistic Model for Bursty Topic Discovery in Microblogs, Proceedings of the 29th Conference on Artificial Intelligence 2015, Austin Texas, USA. (AAAI 2015)
• Shuzi Niu, Yanyan Lan, Jiafeng Guo, Lei Yu, Guoping Long, Xueqi Cheng. Listwise Approach for Rank Aggregation in Crowdsourcing, Proceedings of the 8th International conference on Web Search and Data Mining, Shanghai, China. (WSDM 2015)

2014

• Xueqi Cheng, Xiaohui Yan, Yanyan Lan, Jiafeng Guo. BTM: Topic Modeling over Short Texts, IEEE Transactions on Knowledge and Data Engineering, 2014. (IEEE TKDE) [code(c++)]
• Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng. Local Linear Matrix Factorization for Document Modeling, Proceedings of the 35th European Conference on Information Retrieval. (ECIR 2014)
• Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng and Xiubo Geng. What Makes Data Robust: A Data Analysis in Learning to Rank. Proceedings of the 37th Annual ACM SIGIR Conference, GoldCoast, Australia, 2014. (SIGIR 2014)
• Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng and Shuzi Niu. Learning for Search Result Diversification. Proceedings of the 37th Annual ACM SIGIR Conference, GoldCoast, Australia, 2014. (SIGIR 2014)
• Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu and Xueqi Cheng. Position-Aware ListMLE: A Sequential Learning Process for Ranking. Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence, Quebec, Canada, 2014. (UAI 2014)
• Pengfei Wang, Jiafeng Guo, Yanyan Lan, Xueqi Cheng. Modeling Retail Transaction Data for Personalized Shopping Recommendation, Proceedings of The 23th ACM Conference on Information and Knowledge Management, Shanghai, China. (CIKM 2014)
• Zhenhong Chen, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng. Alternating Mixing Stochastic Gradient Descent for Large-scale Matrix Factorization, International workshop on Data Science and Network Big Data Analytics in International Conference on Data Mining, Shenzhen, China. (ICDM 2014)
• Huan Xue, Jiafeng Guo, Yanyan lan, Lei Cao. Personalized Paper Recommendation in Scholar System, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014. (ASONAM 2014)
• Yantao Jia, Yuanzhuo Wang, Xueqi Cheng, Xiaolong Jin, Jiafeng Guo. OpenKN: An open knowledge computational engine for network big data, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014. (ASONAM 2014)
• Zhongxiang Chen, Jiafeng Guo, Yanyan lan, Lei Cao, Xueqi Cheng. Name Disambiguation by Collective Classification, Information Retrieval Technology. (AIRS 2014)

2013

• Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng. A Biterm Topic Model for Short Texts. World Wide Web, 2013, Rio Ode Karo, Brazil. (WWW 2013) [slides, code(c++)]
• Xiaohui Yan, Jiafeng Guo, Shenghua Liu, Xueqi Cheng. Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix. SIAM: SIAM International Conference on Data Mining 2013. (SDM 2013)
• Lu Bai, Jiafeng Guo, Xueqi Cheng, Yanyan Lan and Wolfgang Nejdl. Group Sparse Topical Coding: From Code to Topic, The Sixth ACM WSDM Conference, Rome, Italy, 2013. (WSDM 2013) 
• Xiaofei Zhu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng. Recommending High Utility Query via Session-Flow Graph, the 34th European Conference on Information Retrieval. (ECIR 13)
• Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng. A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-Document Summarization, IEEE International Conference on Data Mining, Dallas, USA. (ICDM 2013)
• Yanyan Lan, Shuzi Niu, Jiafeng Guo, Xueqi Cheng. Is Top-k Sufficient for Ranking?, The 22th ACM Conference on Information and Knowledge Management, San Francisco, USA. (CIKM 2013)
• Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng. Stochastic Rank Aggregation. Association for Uncertainty in Artificial Intelligence. (UAI 2013)
• Shengxian Wan, Yanyan Lan, Jiafeng Guo, Chaosheng Fan and Xueqi Cheng. Informational friend recommendation in social media. In Proceedings of the 36th Annual ACM SIGIR conference, pages 1045-1048, 2013. (SIGIR 2013)
• Chaosheng Fan, Yanyan Lan, Jiafeng Guo, Zuoquan Lin and Xueqi Cheng. Collaborative factorization for recommender systems. In Proceedings of the 36th Annual ACM SIGIR conference, pages 949-953, 2013. (SIGIR 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.
• Lu Bai, Jiafeng Guo, Lei Cao, Xueqi Cheng. Long Tail Query Recommendation Based on Query Intent. Journal of Computers. 36(3) 636-642.
• Xiao Han, Jiafeng Guo, Pan Du, Xueqi Cheng. An Automatic Literature Survey Framework by Exploring Prestige and Diversity. Journal of Computers, 2013.

2012

• Xiaofei Zhu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng, More Than Relevance: High Utility Query Recommendation By Mining Users' Search Behaviors, Proceedings of The 21th ACM Conference on Information and Knowledge Management. (CIKM 2012) [slides,poster]
• Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng, Top-k learning to rank: labeling, ranking and evaluation. Proceedings of the 35th Annual ACM SIGIR conference, Portland, Oregon, USA, August 2012. (SIGIR 2012,Best Student Paper Award) [slides]
• Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Tie-yan Liu. Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space, Proceedings of Neural Information Processing Systems 2012, Lake Tahoe, Nevada, United States, 2012.(NIPS 2012) [poster]
• Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, A New Probabilistic Model for Top-k Ranking Problem, Proceedings of The 21th ACM Conference on Information and Knowledge Management. (CIKM 2012) [poster]
• Xiaohui Yan, Jiafeng Guo, Shenghua Liu, Xueqi Cheng, Yanfeng Wang, Clustering Short Text Using Ncut-weighted Non-negative Matrix Factorization, Proceedings of The 21th ACM Conference on Information and Knowledge Management. (CIKM 2012) [poster]
• Xueke Xu, Songbo Tan, Yue Liu, Xueqi Cheng, Zheng Lin and Jiafeng Guo. Find Me Opinion Sources in Blogosphere: Opinionated Blog Feed Retrieval, The Fifth ACM WSDM Conference will take place in Seattle, Washington, USA. (WSDM 2012)
• Yadong Zhu, Yuanhai Xue, Jiafeng Guo, Yanyan Lan, Xueqi Cheng, Xiaoming Yu. Exploring and Exploiting Proximity Statistic for Information Retrieval Model. Proceedings of The Eighth Asia Information Retrieval Societies Conference, Tianjin, China, 2012. (AIRS 2012)
• Lu Bai, Jiafeng Guo, Lei Cao, Xueqi Cheng. Long-tailed Query Recommendation based on Query Intent, Journal of Computers, 2012.
• Shuzi Niu, Xuqi Cheng, Jiafeng Guo. The Data Analysis on Noise Sensitivity in Learning to Rank, Journal of chinese information processing, 2012.
• Lei Cao, Jiafeng Guo, Lu Bai, CHENG Xueqi, Named Entity Mining from Query Log through Semi-supervised Topic Modeling, Journal of chinese information processing, 2012.
• Lei Cao, Jiafeng Guo, Xue-qi Cheng, Bipartite graph based semi-supervised method for entity mining from the query log, Journal of Shandong University (Natural Science), 2012.

2011

• Jiafeng Guo, Xueqi Cheng, Gu Xu, Xiaofei Zhu, Intent-Aware Query Similarity, Proceedings of The 20th ACM Conference on Information and Knowledge Management, pp. 259-268, October 2011, Glasgow, UK. (CIKM 2011, Best Paper Award) [slides]
• Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Pan Du, Hua-wei Shen. A Unified Framework for Recommending Diverse and Relevant Queries, Proceedings of the 20th ACM International World Wide Web Conference, Hyderabad, India. (WWW 2011) [slides]
• Xiaohui Yan, Jiafeng Guo, Xueqi Cheng, Context-Aware query recommendation by learning high-order relationship in query logs, Proceedings of The 20th ACM Conference on Information and Knowledge Management. (CIKM 2011)
• Pan Du, Jiafeng Guo, Xueqi Cheng. Decayed DivRank: Capturing Relevance, Diversity and Prestige in Information Networks, Proceedings of the 34th Annual ACM SIGIR Conference, Beijing. (SIGIR 2011)
• Xue-Qi Cheng, Pan Du, Jiafeng Guo, Xiaofei Zhu, and Yixin Chen, Ranking on Data Manifold with Sink Points, IEEE Transactions on Knowledge and Data Engineering, 2011. (IEEE TKDE)
• Lu Bai, Jiafeng Guo, Xueqi Cheng, Xiubo Geng, Pan Du. Exploring the Query-Flow Graph with a Mixture Model for Query Recommendation, Workshop on Query Representation and Understanding in the 34th Annual ACM SIGIR Conference, Beijing. (SIGIR 2011)
• Pan Du, Jiafeng Guo, Xueqi Cheng，Supervised Lazy Random Walk for Topic-Focused Multi-Document Summarization, 2011 IEEE International Conference on Data Mining. (ICDM 2011)
• Lu Bai, Xueqi Cheng, Jiafeng Guo, Query Recommendation by Modeling the Query-Flow Graph. (AIRS 2011)
• Pan Du, Jiafeng Guo, Xueqi Cheng. Update Summarization based on Heat Diffusion Process, Pattern Recognition and Machine Learning, 2011. (PRML 2011)
• Hua-Wei Shen, Xue-Qi Cheng, Jia-Feng Guo. Exploring the structural regularities in networks. Physical Review E: 2011 ,84(5) ,056111
• Chao He, Xueqi Cheng, Jiafeng Guo. Mining Hierarchical Concept Lattice for Faceted Navigation. Chinese Journal of Computers, 2011.
• Lei Cao, Jiafeng Guo, and Xueqi Cheng. Bipartite Graph based Entity Ranking for Related Entity Finding, Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, Lyon, France.(WI 2011)
• Chao He, Xueqi Cheng, Jiafeng Guo, Hua-wei Shen. Multi-Select Faceted Navigation based on Minimum Description Length Principle, Proceedings of the 22rd International Joint Conference on Artificial Intelligence, Barcelona.(IJCAI 2011)

2010

• Jiafeng Guo, Xueqi Cheng, Gu Xu, Hua-wei Shen, A Structured Approach to Query Recommendation With Social Annotation Data, Proceedings of the 19th ACM International Conference on Information and Knowledge Management, Toronto, 2010. (CIKM 2010)
• Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Recommending Diverse and Relevant Queries with A Manifold Ranking Based Approach, Workshop on Query Representation and Understanding in the 33rd Annual ACM SIGIR Conference, 2010. (SIGIR 2010)
• Pan Du, Jiafeng Guo, Jin Zhang, Xueqi Cheng, Manifold Ranking with Sink Points for Update Summarization, Proceedings of the 19th ACM International Conference on Information and Knowledge Management, Toronto, Canada, 2010. (CIKM 2010)
• Junming Huang, Xueqi Cheng, Jiafeng Guo, Huawei Shen, and Kun Yang, Social recommendation with interpersonal influence, In Proceedings of the Nineteenth European Conference on Artificial Intelligence, 2010. (ECAI 2010)
• Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Pan Du. Query Recommendation Based on Manifold Ranking. In YWCL'10, pages 364-370, 2010. (Best Paper)

2009

• Jiafeng Guo, Gu Xu, Xueqi Cheng, and Hang Li, Named entity recognition in query, Proceedings of the 32nd Annual ACM SIGIR conference, 2009, 267-274. (SIGIR 2009) [slides]
• Haijun Zhai, Jiafeng Guo, Qiong Wu, Xueqi Cheng, Huawei Shen and Jin Zhang, Query Classification Based on Regularized Correlated Topic Model. In Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, Milan, Italy, September, 2009, Pages: 552-555.(WI 2009)
• Haijun Zhai, Jiafeng Guo, Xiaolei Wang, Hongbo Xu. Mining Named Entities from Query Logs. In the 10th Chinese National Conference on Computational Linguistics, July, 2009. (CNCCL-2009)
• Jiafeng Guo, Xueqi Cheng, Huawei Shen, and Shuo Bai, Exploring Collaboratively Annotated Data for Automatic Annotation, Workshop on Content Analysis in the Web 2.0 in the 18th International World Wide Web Conference, 2009.
• Hua-Wei Shen, Xue-Qi Cheng, and Jia-Feng Guo, Quantifying and identifying the overlapping community structure in networks, Journal of Statistical Mechanics - Theory and Experiment, 2009.
• Yiling Zeng, Hongbo Xu, Jiafeng Guo, Yu Wang, Shuo Bai, A Clustering Framework Based on Adaptive Space Mapping and Rescaling. (AIRS 2009)

2008

• Jiafeng Guo, Gu Xu, Hang Li, and Xueqi Cheng, A unified and discriminative model for query refinement, Proceedings of the 32nd Annual ACM SIGIR conference, 2008, 379-386. (SIGIR 2008) [slides]
• Gang Zhang, Yue Liu, Jiafeng Guo, and Xueqi Cheng, A Hierarchical Search Result Clustering Method, In Journal of Computer Research and Development,45(03):542-547, 2008

2006

• Jiafeng Guo, Lin Ding, Gang Zhang, Yue Liu, Xueqi Cheng, PSM: A New Re-Ranking Algorithm for Named-Page. In Proceedings of the Fifteenth Text REtrieval Conference, 2006 (TREC 2006)

2005

• Jiafeng Guo, Xinming Zhang, Fei Xie, and Guoliang Chen, A Leisure Degree Adaptive Routing Protocol for Mobile Ad Hoc Network, In Journal of Software, 2005, 16(05): 960-969.
• Fei Xie, Xinming Zhang, Jiafeng Guo, and Guoliang Chen, A Delay Oriented Adaptive Routing Protocol for Mobile Ad hoc Networks, In Journal of Software, 2005, 16(09): 1661-1667.

Projects

NSFC Funding

• Information Retrieval and Evaluation (Grant No. 61722211) (2018.01-2020.12)
• User Profiling and Personlized Recommendation based on big Transactional Data (Grant No. 61472401) (2015.01-2018.12)
• Recommendation Technology based on Large Scale User Data (Grant No. 61003166) (2011.01-2013.12)
• Online Social Relational Network Mining and Analysis (participation) (2013.01-2017.12)

973 Funding

• Fundamental Theories and Applications of Web Big Data (participation) (2014.01-2018.12)

Toolkits

MatchZoo (https://ntmc-community.github.io/)

MatchingZoom is a toolkit for text matching. It was developed with a focus on facilitate the designing, comparing and sharing of deep text matching models. The architecture of the MatchZoo toolit is depicited in Figure. There are three major modules in the toolkit, namely data preparation, model construction, training and evaluation, respectively. These three modules are actually organized as a pipeline of data flow.

Reference:

Jiafeng Guo, Yixing Fan, Xiang Ji and Xueqi Cheng. MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. The 42st International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France. (SIGIR 2019)

Social Scholar (http://soscholar.com)

A vertical social network platform for academia. The system aims to introduce collaboration into academic search, mining and analysis tasks. Supported by CAS-ICT innovation project.

Academic Universe (http://soscholar.com/universe)

A platform for fast exploring linked academic objects. The system provides users with a single-page view of multiple academic objects, and allows users to easily explore the academic data by filtering different aspects.

Academic Benchmark (http://www.bigdatalab.ac.cn/benchmark/)

A platform for not only reporting the performances of state-of-the-art algorithms in different domains, but also providing the corresponding datasets, codes, and scripts that can make the experimental results reproducible.

Current students under my supervision

• Jiangui Chen (Ph.D.)
• Yinqiong Cai (Ph.D.)
• Lu Chen (Ph.D.)
• Yubao Tang (Ph.D.)
• Shiyu Ni (Ph.D.)
• Da Li (Ph.D.)
• Runze Fan (Master)
• Yiting Wang (Master)
• Xiaojie Sun (Master)
• Ning Xian (Master)
• Changjiang Zhou (Master)
• Sihui Yang (Master)

Graduated students under my supervision

• Xinyu Ma (Ph.D., now working at Baidu)
• Sihao Yu (Ph.D., now working at Baidu)
• Cheng Zhao (Ph.D., now working at ByteDance)
• Xiang Ji (Master, now working at ByteDance)
• Hui Jin (Master, now working at Ministry of Ecology and Environment of the People's Republic of China)
• Jiantao Guo (Master, now working at Tencent)
• Chunxiang Hong (Master, now working at Baidu)
• Jianing Li (Ph.D., now working at CAS-ICT)
• Lixin Su (Ph.D., now working at Baidu)
• Wei Zeng (Ph.D., now working at Baidu)
• Zizhen Wang (Master, now working at Tencent)
• Ruqing Zhang (Ph.D., now working at CAS-ICT)
• Hainan Zhang (Ph.D., now working at JD)
• Yixing Fan (Ph.D., now working CAS-ICT)
• Liang Pang (Ph.D., now working at CAS-ICT)
• Long Xia (Ph.D., now working at Baidu)
• Fei Sun (Ph.D., now working at Alibaba)
• Yan Xiao (Master, now working at Microsoft)
• Pengfei Wang (Ph.D., now working at BUPT)
• Shengxian Wan (Ph.D., now working at Baidu)
• Shuzi Niu (Ph.D., now working at CAS-IS)
• Yadong Zhu (Ph.D., now working at Taobao)
• Lu Bai (Ph.D., now working at Jingdong)
• Xiaofei Zhu (Ph.D., now working at Chongqing University of Technology)
• Xiubo Geng (Ph.D., now working at Yahoo)
• Xiaohui Yan (Ph.D., now working at DiDi Research Lab)
• Pan Du (Ph.D., now working at CAS-ICT)
• Lei Cao (Ph.D., now working at CAS-ICT)
• Chao He (Ph.D., now working at Changzhou Science and Technology Park)
• Jianguo Wang (Ph.D., now at CAS-SIAT)
• Tianyou Guo (Master)
• Yan Gao (Master, now working at MSRA)
• Fuxin Li (Master)
• Li Li (Master)
• Xiao Han (Master, now working at Google)
• Huan Xue (Master, now working at Youdao)
• Xiaolin Zhang (Master, now working at CCB)
• Zhongxiang Chen (Master, now working at startup)

Previously Collaborated Students

• Yingyan Li (Master, co-advisor)
• Qian Guo (Ph.D. candidate, co-advisor)
• Yaogong Zhang (Ph.D. intern, co-advisor)
• Chaosheng Fan (Ph.D. intern, co-advisor)
• Zhenhong Chen (Master, co-advisor)
• Bohan Li (Undergraduate intern)
• Chunyao Zhang (Undergraduate intern)

Talks

• Jiafeng Guo, Pre-training Methods for Information Retrieval, BAAI CONFERENCE 2021 Invited Talk [pdf]
• Jiafeng Guo, Towards Intelligent Conversational Systems: Informativeness, Diversity and Controllability, SMP 2019 Invited Talk [pdf]
• Jiafeng Guo, Yanyan Lan, Deep Approaches to Semantic Matching for Texts, ACML 2016 Tutorial, Hamilton, New Zealand [Part I Part II]
• Jiafeng Guo, Jun Xu, Deep Semantic Matching for Texts, CCIR 2016 Tutorial, Guang Zhou, China [Part I Part II]
• Jiafeng Guo, Top Conference Review--WSDM 2016, CCIR 2016 Tutorial, Guang Zhou, China [pdf]

Teach

• "Pattern Recognition and Machine Learning", (Fall 2017, 091M4042H)
• "Pattern Recognition and Machine Learning", (Fall 2016, 091M4042H)