窦志成( Zhicheng Dou)

Where there is a will, there is a way (有志者事竟成)
Zhicheng Dou's Photo
窦志成
Zhicheng Dou's Homepage in English

联系方式

常年招收对信息检索、自然语言处理、人工智能方向感兴趣的本科2-4年级学生加入实验室实习！
通信地址：北京市海淀区中关村大街59号中国人民大学信息楼124
邮政编码：100872
研究方向：智能信息检索、自然语言处理
 
电子邮件：
个人网站：

个人简介

窦志成，教授，博导，中国人民大学高瓴人工智能学院副院长，中国计算机学会大数据专家委员会秘书长，中国中文信息学会信息检索专委会副主任。 2008至2014年在微软亚洲研究院工作，2014年开始在中国人民大学任教。主要研究方向为人工智能、智能信息检索、自然语言处理等。 已在国际知名学术会议和期刊上发表论文100余篇，获教育部自然科学奖一等奖、WWW 2023亮点论文（最佳论文提名）奖、 国际信息检索大会（SIGIR 2013）最佳论文提名奖、 亚洲信息检索大会(AIRS 2012)最佳论文奖获、全国信息检索学术会议（CCIR 2018、CCIR 2021）最佳论文奖等。 曾担任信息检索领域顶级会议SIGIR的程序委员会主席（2019短文）， 亚洲信息检索学术会议AIRS大会主席（2016）、程序委员会主席（2017）， 全国信息检索学术会议CCIR程序委员会主席（2020）、大会主席（2023）， NTCIR-16和NTCIR-17程序主席、中国大数据技术大会BDTC 2022程序主席等。 任多个国际学术会议和期刊的程序委员会委员和审稿人。

教育背景

  • 2003-2008    南开大学 计算机软件专业 博士
  • 1999-2003    南开大学 计算机科学与技术系 学士

工作经历

  • 2018年8月至今     中国人民大学   教授
  • 2014年9月-2018年8月     中国人民大学   特别研究员，副教授
  • 2008年7月-2014年9月     微软亚洲研究院  研究员
  • 2005-2008    微软亚洲研究院  实习生

学术论文

注：*代表该论文的通讯作者；带下划线的作者为我指导的学生
2024
  • Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zhicheng Dou, Zheng Liu, Ji-Rong Wen: INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. CoRR abs/2401.06532 (2024)
  • Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou: Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon. CoRR abs/2401.03462 (2024)
  • Wenhan Liu, Ziliang Zhao, Yutao Zhu, and Zhicheng Dou*. Mining Exploratory Queries for Conversational Search. In Proceedings of the ACM Web Conference 2024 (WWW 2024), May 13 - 17, 2024, Singapore. (TheWebConf 2024) (CCF A) (Download | DOI)
  • Ziliang Zhao and Zhicheng Dou*. Generating Multi-turn Clarification for Web Information Seeking. In Proceedings of the ACM Web Conference 2024 (WWW 2024), May 13 - 17, 2024, Singapore. (TheWebConf 2024) (CCF A) (Download | DOI)
  • Yujia Zhou Zheng Liu*, Jiajie Jin, Jian-Yun Nie, and Zhicheng Dou*. Metacognitive Retrieval-Augmented Large Language Models. In Proceedings of the ACM Web Conference 2024 (WWW 2024), May 13 - 17, 2024, Singapore. (TheWebConf 2024) (CCF A) (Download | DOI)
  • Yujia Zhou, Qiannan Zhu, Jiajie Jin, and Zhicheng Dou*. Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism. In Proceedings of the ACM Web Conference 2024 (WWW 2024), May 13 - 17, 2024, Singapore. (TheWebConf 2024) (CCF A) (Download | DOI)
  • Jiongnan Liu, Zhicheng Dou*, Jian-Yun Nie, Ji-Rong Wen: Integrated Personalized and Diversified Search Based on Search Logs. IEEE Trans. Knowl. Data Eng. 36(2): 694-707 (2024) (TKDE 2024) (CCF A) (Download | DOI)
  • Shuting Wang, Zhicheng Dou*, Jiongnan Liu, Qiannan Zhu, and Ji-Rong Wen. 2024. Personalized and Diversified: Ranking Search Results in an Integrated Way. ACM Trans. Inf. Syst. 42, 3, Article 81 (May 2024), 25 pages. https://doi.org/10.1145/3631989 (TOIS 2024) (CCF A) (Download | DOI)
  • Yutong Bai, Yujia Zhou, Zhicheng Dou, and Ji-Rong Wen. 2024. Intent-oriented Dynamic Interest Modeling for Personalized Web Search. ACM Trans. Inf. Syst. Just Accepted (January 2024). https://doi.org/10.1145/3639817 (TOIS 2024) (CCF A) (Download | DOI)
  • Xiaoxi Li, Yujia Zhou, Zhicheng Dou*. UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models. In Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence. (AAAI 2024) (CCF A) (Download | DOI)
  • Zhirui Deng, Zhicheng Dou*, Yutao Zhu, and Ji-Rong Wen. 2024 CL4DIV: A Contrastive Learning Framework for Search Result Diversification. In Proceedings of the 17th ACM International Conference on Web Search and Data Mining. (WSDM 2024) (CCF B) (Download | DOI)
2023
  • 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. AI Open 4: 80-90 (2023) (DOI | Download )
  • Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Haonan Chen, Zhicheng Dou, Ji-Rong Wen: Large Language Models for Information Retrieval: A Survey. CoRR abs/2308.07107 (aXiv | Download ) (2023)
  • Peitian Zhang, Shitao Xiao, Zheng Liu, Zhicheng Dou, Jian-Yun Nie: Retrieve Anything To Augment Large Language Models. CoRR abs/2310.07554 (2023) (aXiv | Download )
  • Hongjin Qian, Zhicheng Dou, Jiejun Tan, Haonan Chen, Haoqi Gu, Ruofei Lai, Xinyu Zhang, Zhao Cao, Ji-Rong Wen: Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection. CoRR abs/2308.15711 (2023) (aXiv | Download )
  • Zhirui Deng, Zhicheng Dou*, Ji-Rong Wen: DeepQFM: a deep learning based query facets mining method. Information Retrieval Journal. Volume 26, article number 9, (2023) (Online | Download )
  • Yujia Zhou, Jing Yao, Ledell Wu, Zhicheng Dou* and Ji-Rong Wen. 2023. WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm. IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2023.3332858. (TKDE 2023) (CCF A) ( Online | Download ）
  • Yujia Zhou, Zhicheng Dou*, and Ji-Rong Wen. 2023. Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2023) (CCF B) Online Download
  • Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, and Jing Yao. 2023. Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2023) (CCF B) Online Download
  • Kelong Mao, Zhicheng Dou*, Fengran Mo, Jiewen Hou, Haonan Chen, and Hongjin Qian. 2023. Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2023 Findings) Online Download
  • Zihan Wang, Yujia Zhou, Yiteng Tu, and Zhicheng Dou*. 2023. NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM ’23), October 21–25, 2023, Birmingham, United Kingdom. ACM, New York, NY, USA, 10 pages. (CIKM 2023) (CCF B) ( Download | DOI )
  • Huaying Yuan, Zhicheng Dou*, Yujia Zhou, Yu Guo, and Ji-Rong Wen. 2023. VILE: Block-Aware Visual Enhanced Document Retrieval. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM ’23), October 21–25, 2023, Birmingham, United Kingdom. ACM, New York, NY, USA, 10 pages. (CIKM 2023) (CCF B) ( Download | DOI )
  • Zhan Su, Zhicheng Dou*, Yujia Zhou, Ziyuan Zhao, and Ji-Rong Wen. 2023. PSLOG: Pretraining with Search Logs for Document Ranking. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’23), August 6–10, 2023, Long Beach, CA, USA. ACM, New York, NY, USA, 11 pages. (KDD 2023) (CCF A) ( Download | DOI )
  • Shitong Dai, Jiongnan Liu, Zhicheng Dou*, Haonan Wang, Lin Liu, Bo Long, and Ji-Rong Wen. 2023. Contrastive Learning for User Sequence Representation in Personalized Product Search. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’23), August 6–10, 2023, Long Beach, CA, USA. ACM, New York, NY, USA, 11 pages. (KDD 2023) (CCF A) ( Download | DOI )
  • Ziliang Zhao, Zhicheng Dou*, Yu Guo, Zhao Cao, and Xiaohua Cheng. 2023. Improving Search Clarification with Structured Information Extracted from Search Results. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’23), August 6–10, 2023, Long Beach, CA, USA. ACM, New York, NY, USA, 10 pages. (KDD 2023) (CCF A) ( Download | DOI )
  • Search-oriented Conversational Query Editing. Kelong Mao, Zhicheng Dou*, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng and Zhao Cao. In Findings of the Association for Computational Linguistics: ACL (Findings) 2023. (ACL 2023 - Findings) ( Download | DOI )
  • Hence, Socrates is mortal: A Benchmark for Natural Language Syllogistic Reasoning. Yongkang Wu, Meng Han, Yutao Zhu, Lei Li, Xinyu Zhang, Ruofei Lai, Xiaoguang Li, Yuanhang Ren, Zhicheng Dou, and Zhao Cao. In Findings of the Association for Computational Linguistics: ACL (Findings) 2023. (ACL 2023 - Findings) ( Download | DOI )
  • Jiongnan Liu, Zhicheng Dou*, Guoyu Tang, and Sulong Xu. 2023. JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’23), July 23–27, 2023, Taipei, Taiwan. ACM, New York, NY, USA, 8 pages. (SIGIR 2023) ( Download | DOI )
  • Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou*, Bang Liu, Xiaohua Cheng, and Zhao Cao. 2023. Learning Denoised and Interpretable Session Representation for Conversational Search. In Proceedings of the ACM Web Conference 2023 (WWW ’23) (Spotlight paper!), May 1–5, 2023, Austin, TX, USA. ACM, New York, NY, USA, 11 pages. (WWW 2023) (CCF A) ( Download | DOI )
  • Shuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou, and Ji-Rong Wen. 2023. Incorporating Explicit Subtopics in Personalized Search. In Proceedings of the ACM Web Conference 2023 (WWW ’23), May 1–5, 2023, Austin, TX, USA. ACM, New York, NY, USA, 11 pages. (WWW 2023) (CCF A) ( Download | DOI )
  • Yujia Zhou, Jing Yao, Zhicheng Dou*, Ledell Yu Wu and Ji-rong Wen. DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index. Machine Intelligence Research. 20(2): 276-288 (2023). ( Download | DOI )
  • Han Zhang, Zhicheng Dou*, Yutao Zhu and Ji-rong Wen. Contrastive Learning for Legal Judgment Prediction. ACM Transactions on Information Systems. 41(4): 113:1-113:25 (2023) (TOIS) (CCF A) ( Download | DOI )
  • Qingyu Bing, Qiannan Zhu, and Zhicheng Dou*. 2023. Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation. In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining (WSDM ’23), February 27-March 3, 2023, Singapore, Singapore. ACM, New York, NY, USA, 9 pages. (WSDM 2023) (CCF B) ( Download | DOI )
  • Shuting Wang, Zhicheng Dou*, and Yutao Zhu. 2023. Heterogeneous Graph based Context-aware Document Ranking. In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining (WSDM ’23), February 27-March 3, 2023, Singapore, Singapore. ACM, New York, NY, USA, 9 pages. (WSDM 2023) (CCF B) ( Download | DOI )
  • Yuhang Ye, Zhonghua Li, Zhicheng Dou, Yutao Zhu, Changwang Zhang, Shangquan Wu, Zhao Cao. Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search. In Proceedings of AAAI 2023: 4818-4826 (AAAI 2023) (CCF A) ( Download | DOI )
  • Zihan Wang, Hongjin Qian, Zhicheng Dou. Learning on Structured Documents for Conditional Question Answering. CCL 2023: 37-57
  • Han Zhang, Zhicheng Dou. Case Retrieval for Legal Judgment Prediction in Legal Artificial Intelligence. CCL 2023: 434-448
  • Hongjin Qian and Zhicheng Dou*. 2023. Topic-Enhanced Personalized Retrieval-Based Chatbot. In Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part II. Springer-Verlag, Berlin, Heidelberg, 79–93. (ECIR 2023) ( Download | DOI )
  • Kelong Mao, Zhicheng Dou, Haonan Chen, Fengran Mo, Hongjin Qian: Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search. https://arxiv.org/abs/2303.06573 (2023) (DOI)
  • Hongjing Qian, Yutao Zhu, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu, Ruofei Lai, Zhao Cao, Jian-Yun Nie, Ji-Rong Wen: WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus. https://arxiv.org/abs/2304.04358 (2023) (DOI)
  • Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Zhao Cao: Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines. https://arxiv.org/abs/2305.13859 (2023) (DOI)
  • Jiongnan Liu, Jiajie Jin, Zihan Wang, Jiehan Cheng, Zhicheng Dou, Ji-Rong Wen: RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit. https://arxiv.org/abs/2306.05212 (2023) (DOI)
  • Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie and Ji-rong Wen. CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. ACM Transactions on Intelligent Systems and Technology, 14(2): 32:1-32:24 (2023) (Download | DOI)
  • [J] Yujia Zhou, Zhicheng Dou* and Ji-Rong Wen, "Enhancing Potential Re-finding in Personalized Search with Hierarchical Memory Networks," in IEEE Transactions on Knowledge and Data Engineering. 35(4): 3846-3857 (2023) (TKDE 2023) (CCF A) (Download | DOI)
  • Haonan Chen, Zhicheng Dou*, Qiannan Zhu, Xiaochen Zuo, and Ji-Rong Wen. Integrating Representation and Interaction for Context-aware Document Ranking. ACM Trans. Inf. Syst. 41(1): 21:1-21:23 (2023) (TOIS 2023) (CCF A) (Download | DOI)
  • Xubo Qin, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen. 2022. GDESA: Greedy Diversity Encoder with Self-Attention for Search Results Diversification. ACM Trans. Inf. Syst. 41(2): 34:1-34:36 (2023) (TOIS 2023) (CCF A) (Download | DOI)
2022
  • Kelong Mao, Zhicheng Dou*, Hongjin Qian, Fengran Mo, Xiaohua Cheng, and Zhao Cao. 2022. ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2935–2946, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics (EMNLP 2022) (CCF B) (Download | URL)
  • Hongjin Qian and Zhicheng Dou*. 2022. Explicit Query Rewriting for Conversational Dense Retrieval. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4725–4737, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics (EMNLP 2022) (CCF B) (Download | URL)
  • Zhaoye Fei, Yu Tian, Yongkang Wu, Xinyu Zhang, Yutao Zhu, Zheng Liu, Jiawen Wu, Dejiang Kong, Ruofei Lai, Zhao Cao, Zhicheng Dou, and Xipeng Qiu. 2022. Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding. In Proceedings of the 29th International Conference on Computational Linguistics, pages 4952–4964, Gyeongju, Republic of Korea. International Committee on Computational Linguistics (COLING 2022) (CCF B) (Download | URL)
  • Zhaoheng Huang, Zhicheng Dou*, Yutao Zhu, and Zhengyi Ma. 2022. MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling. In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 1030–1042, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics. (EMNLP 2022 Findings) (CCF B) (Download | URL)
  • Zhan Su, Zhicheng Dou*, Yutao Zhu, and Ji-Rong Wen. 2022. Knowledge Enhanced Search Result Diversification. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22). Association for Computing Machinery, New York, NY, USA, 1687–1695. (KDD 2022) (CCF A) ( Download | DOI)
  • Yutao Zhu, Jian-Yun Nie, Yixuan Su, Haonan Chen, Xinyu Zhang, and Zhicheng Dou*. 2022. From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking. In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM ’22), October 17–21, 2022, Atlanta, GA, USA. ACM, New York, NY, USA, 11 pages. (CIKM 2022) (CCF B) ( Download | DOI)
  • Haonan Chen, Zhicheng Dou*, Yutao Zhu, Zhao Cao, Xiaohua Cheng, and Ji-Rong Wen. 2022. Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM ’22), October 17–21, 2022, Atlanta, GA, USA. ACM, New York, NY, USA, 11 pages. (CIKM 2022) (CCF B) ( Download | DOI)
  • Hanxun Zhong, Zhicheng Dou*, Yutao Zhu, Hongjin Qian, and Ji-Rong Wen. 2022. Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 5808–5820, Seattle, United States. Association for Computational Linguistics. (NAACL 2022) (CCF B) ( Download | DOI )
  • Kelong Mao, Zhicheng Dou*, and Hongjin Qian. Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval. In Proceedings of SIGIR 2022. (SIGIR 2022) (CCF A) (Download | DOI)
  • Yu Guo, Zhengyi Ma, Jiaxin Mao, Hongjin Qian, Xinyu Zhang, Hao Jiang, Zhao Cao, and Zhicheng Dou*. Webformer: Pre-training with Web Pages for Information Retrieval. In Proceedings of SIGIR 2022. (SIGIR 2022) (CCF A) (Download | DOI)
  • Ziliang Zhao, Zhicheng Dou*, Jiaxin Mao and Ji-Rong Wen. Generating Clarifying Questions with Web Search Results. In Proceedings of SIGIR 2022. (SIGIR 2022) (CCF A) (Download | DOI)
  • Yujia Zhou, Zhicheng Dou*, Huaying Yuan and Zhengyi Ma. Socialformer: Social Network Inspired Long Document Modeling for Document Ranking. In Proceedings of the ACM Web Conference 2022 (WWW ’22), April 25–29, 2022, Virtual Event, Lyon, France. ACM, New York, NY, USA. (TheWebConf 2022) (CCF A) (Download | DOI)
  • Jiongnan Liu, Zhicheng Dou*, Qiannan Zhu, and Ji-Rong Wen. A Category-aware Multi-interest Model for Personalized Product Search. In Proceedings of the ACM Web Conference 2022 (WWW ’22), April 25–29, 2022, Virtual Event, Lyon, France. ACM, New York, NY, USA. (TheWebConf 2022) (CCF A) (Download | DOI)
  • Qiannan Zhu, Haobo Zhang, Qing He, and Zhicheng Dou*. A Gain-Tuning Dynamic Negative Sampler for Recommendation. In Proceedings of the ACM Web Conference 2022 (WWW ’22), April 25–29, 2022, Virtual Event, Lyon, France. ACM, New York, NY, USA. (TheWebConf 2022) (CCF A) (Download | DOI)
  • Xiaochen Zuo, Zhicheng Dou*, Ji-Rong Wen. Improving Session Search by Modeling Multi-Granularity Historical Query Change. In Proceedings of the 15th ACM International Conference on Web Search and Data Mining (WSDM '22). ACM, New York, NY, USA. (WSDM 2022) (CCF B) (Download | DOI)
  • Chenlong Deng, Yujia Zhou, and Zhicheng Dou*. Improving Personalized Search with Dual-Feedback Network. In Proceedings of the 15th ACM International Conference on Web Search and Data Mining (WSDM '22). ACM, New York, NY, USA, (WSDM 2022) (CCF B) (Download | DOI)
  • Chengzhen Fu, Enrui Hu, Letian Feng, Zhicheng Dou, Yantao Jia, Lei Chen, Pan Yu, and Zhao Cao. Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking. In Proceedings of the 15th ACM International Conference on Web Search and Data Mining (WSDM '22). ACM, New York, NY, USA, (WSDM 2022) (CCF B) (Download | DOI)
2021
  • [J] Yutao Zhu, Ruihua Song, Jian-Yun Nie, Pan Du, Zhicheng Dou, and Jin Zhou. 2021. Leveraging Narrative to Generate Movie Script. ACM Trans. Inf. Syst. Just Accepted (December 2021). (TOIS 2021) (CCF A) (Download | DOI)
  • [J] Jing Yao, Zhicheng Dou*, and Ji-Rong Wen. 2021. Clarifying Ambiguous Keywords with Personal Word Embeddings for Personalized Search. ACM Trans. Inf. Syst. 40, 3, Article 43, 29 pages. (TOIS 2021) (CCF A) (Download | DOI)
  • [J] Jing Yao, Zhicheng Dou*, Jian-Yun Nie, and Ji-Rong Wen. Looking Back on the Past: Active Learning with Historical Evaluation Results. in IEEE Transactions on Knowledge and Data Engineering. (TKDE 2021) (CCF A) (Download | DOI)
  • [J] Jing Yao, Zhicheng Dou*, Jun Xu, and Ji-Rong Wen. RLPS: A Reinforcement Learning based Framework for Personalized Search. in Transactions on Information Systems (TOIS 2021) (CCF A) (Download | DOI)
  • Yujia Zhou, Zhicheng Dou*, Yutao Zhu, Ji-Rong Wen. 2021. PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM ’21), November 1–5, 2021, Virtual Event, QLD, Australia. ACM, New York, NY, USA, 10 pages. (CIKM 2021) (CCF B) (Download | DOI)
  • Hongjin Qian, Zhicheng Dou*, Yutao Zhu, Yueyuan Ma, and Ji-Rong Wen. 2021. Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM ’21), November 1–5, 2021, Virtual Event, QLD, Australia. ACM, New York, NY, USA, 11 pages. (CIKM 2021) (CCF B) (Download | DOI)
  • Jing Yao, Zhicheng Dou*, Ruobing Xie, Yanxiong Lu, Zhiping Wang and Ji-Rong Wen. 2021. USER: A Unified Information Search and Recom-mendation Model based on Integrated Behavior Sequence. InProceedings ofthe 30th ACM International Conference on Information and Knowledge Man-agement (CIKM ’21), November 1–5, 2021, Virtual Event, QLD, Australia.ACM,New York, NY, USA, 11 pages. (CIKM 2021) (CCF B) (Download | DOI)
  • Zhengyi Ma, Zhicheng Dou*, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao,and Ji-Rong Wen. 2021. Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need. InProceedings of the 30th ACM International Conference onInformation and Knowledge Management (CIKM ’21), November 1–5, 2021,Virtual Event, QLD, Australia.ACM, New York, NY, USA, 10 pages (CIKM 2021) (CCF B) (Download | DOI)
  • Yutao Zhu, Jian-Yun Nie, Zhicheng Dou*, Zhengyi Ma, Xinyu Zhang, Pan Du, Xiaochen Zuo, and Hao Jiang. 2021. Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking . InProceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM ’21), New York, NY, USA, 2780–2791. (CIKM 2021) (CCF B) (Download | DOI)
  • Shuqi Lu, Chenyan Xiong, Di He, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk. Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder. The 2021 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2021) (CCF B)
  • Zhengyi Ma, Zhicheng Dou*, Yutao Zhu, Hanxun Zhong, and Ji-Rong Wen. One Chatbot Per Person: Creating Personalized Chatbots based onImplicit User Profiles . InProceedings of the 44th International ACM SIGIRConference on Research and Development in Information Retrieval (SIGIR ’21),July 11–15, 2021, Virtual Event, Canada.ACM, New York, NY, USA, 10 pages. (SIGIR 2021) (CCF A) (Download | DOI)
  • Zhan Su, Zhicheng Dou*,Yutao Zhu, Xubo Qin, and Ji-Rong Wen. Modeling Intent Graph for Search Result Diversification. InProceedings of the 44th International ACM SIGIRConference on Research and Development in Information Retrieval (SIGIR ’21),July 11–15, 2021, Virtual Event, Canada.ACM, New York, NY, USA, 10 pages. (SIGIR 2021) (CCF A) (Download | DOI)
  • Yujia Zhou, Zhicheng Dou*, Bingzheng Wei, Ruobing Xie, and Ji-Rong Wen. Group based Personalized Search by Integrating Search Behaviourand Friend Network. InProceedings of the 44th International ACM SIGIRConference on Research and Development in Information Retrieval (SIGIR ’21),July 11–15, 2021, Virtual Event, Canada.ACM, New York, NY, USA, 10 pages. (SIGIR 2021) (CCF A) (Download | DOI)
  • Hongjin Qian, Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Yutao Zhu, Zhanliang Liu, Zhicheng Dou*, and Ji-Rong Wen. Pchatbot: A Large-Scale Dataset for Personalized Chatbot. InProceedings of the 44th International ACM SIGIRConference on Research and Development in Information Retrieval (SIGIR ’21),July 11–15, 2021, Virtual Event, Canada.ACM, New York, NY, USA, 8 pages (Resource Paper). (SIGIR 2021) (CCF A) (Download | DOI)
  • Xinyu Zhang, Ke Zhan, Enrui Hu, Chengzhen Fu, Lan Luo, Hao Jiang, Yantao Jia, Pan Yu, Zhao Cao, Zhicheng Dou, Lei Chen. Answer Complex Questions: Path Ranker Is All You Need. InProceedings of the 44th International ACM SIGIRConference on Research and Development in Information Retrieval (SIGIR ’21),July 11–15, 2021, Virtual Event, Canada.ACM, New York, NY, USA, 10 pages. (SIGIR 2021) (CCF A) (Download | DOI)
  • Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Hao Jiang, andZhicheng Dou. Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals. InProceedings of the 44th International ACM SIGIRConference on Research and Development in Information Retrieval (SIGIR ’21),July 11–15, 2021, Virtual Event, Canada.ACM, New York, NY, USA, 5 pages (Short Paper). (SIGIR 2021) (CCF A) (Download | DOI)
  • Jing Yao, Zhicheng Dou*, and Ji-Rong Wen. FedPS: A Privacy Protection Enhanced Personalized Search Framework. Proceedings of 30th The Web Conference (WWW 2021) (CCF A) (Download)
  • Yutao Zhu, Kun Zhou, Jian-Yun Nie, Shengchao Liu, and Zhicheng Dou. Neural Sentence Ordering Based on Constraint Graphs. Proceedings of The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021) (CCF A) (Download)
  • Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, and Zhicheng Dou. Content Selection Network for Document-grounded Retrieval-based Chatbots. Proceedings of the 43rd edition of the annual BCS-IRSG European Conference on Information Retrieval (ECIR 2021) (Download)
  • 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) (Download | DOI)
  • Yuqi Huo, Manli Zhang, Guangzhen Liu, Haoyu Lu, Yizhao Gao, Guoxing Yang, Jingyuan Wen, Heng Zhang, Baogui Xu, Weihao Zheng, Zongzheng Xi, Yueqian Yang, Anwen Hu, Jinming Zhao, Ruichen Li, Yida Zhao, Liang Zhang, Yuqing Song, Xin Hong, Wanqing Cui, Dan Yang Hou, Yingyan Li, Junyi Li, Peiyu Liu, Zheng Gong, Chuhao Jin, Yuchong Sun, Shizhe Chen, Zhiwu Lu, Zhicheng Dou, Qin Jin, Yanyan Lan, Wayne Xin Zhao, Ruihua Song, Ji-Rong Wen: WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training. https://arxiv.org/pdf/2103.06561.pdf (2021)
  • Xubo Qin, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen: Interaction-Based Document Matching for Implicit Search Result Diversification. CCIR 2021: 3-15
  • Han Zhang, Zhicheng Dou, Yutao Zhu, Jirong Wen: Few-Shot Charge Prediction with Multi-grained Features and Mutual Information. CCL 2021: 387-403
  • Xubo Qin, Zhicheng Dou, Yutao Zhu, and Jirong Wen. 2021. 基于双星型自注意力网络的搜索结果多样化方法(Search Result Diversification Framework Based on Dual Star-shaped Self-Attention Network). In Proceedings of the 20th Chinese National Conference on Computational Linguistics, pages 280–292, Huhhot, China. Chinese Information Processing Society of China. (URL)
  • 郭宇,窦志成,文继荣.PCC:一个对单用户建模的个性化对话系统[J].中文信息学报,2021,35(12):112-121.
  • 张晗,郑伟昊,窦志成,文继荣.融合法律文本结构信息的刑事案件判决预测[J/OL].计算机工程与应用:1-12[2023-01-24]
  • 黄宝跃,宋红伟,王宏堃,窦志成.互联网中检察监督线索的监测和发现——以人工智能深度学习算法为视角[J].人民检察,2021(18):45-48.
2020
  • Zhengyi Ma, Zhicheng Dou*, Guanyue Bian, and Ji-Rong Wen. PSTIE: Time Information Enhanced Personalized Search. Proceedings of 29th ACM International Conference on Information and Knowledge Management (CIKM 2020) (CCF B) (Download | DOI)
  • Xubo Qin, Zhicheng Dou* and Ji-Rong Wen. Diversifying Search Results using Self-Attention Network. Proceedings of 29th ACM International Conference on Information and Knowledge Management (CIKM 2020) (CCF B) (Download | DOI)
  • Jing Yao, Zhicheng Dou* and Ji-Rong Wen. Employing Personal Word Embeddings for Personalized Search. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020) (CCF A) (Download | DOI)
  • Yujia Zhou, Zhicheng Dou* and Ji-Rong Wen. Encoding History with Context-aware Representation Learning for Personalized Search. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020) (CCF A) (Download | DOI)
  • Jiongnan Liu, Zhicheng Dou*, Xiaojie Wang, Shuqi Lu and Ji-Rong Wen. DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020) (CCF A) (Download | DOI)
  • Shuqi Lu, Zhicheng Dou*, Chenyan Xiong, Xiaojie Wang and Ji-Rong Wen. Knowledge Enhanced Personalized Search. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020) (CCF A) (Download | DOI)
  • Jing Yao, Zhicheng Dou*, Jun Xu, and Ji-Rong Wen. RLPer: A Reinforcement Learning Model for Personalized Search. Proceedings of The Web Conference 2020, April 20--24, 2020, Taipei, Taiwan (WWW 2020) (CCF A) (Download | DOI)
  • Anwen Hu, Zhicheng Dou*, Jian-Yun Nie, and Ji-Rong Wen. Leveraging Multi-token Entities in Document-level Named Entity Recognition. Proceedings of the thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020) (CCF A) (Download | DOI)
  • Yujia Zhou, Zhicheng Dou*, and Ji-Rong Wen. 2020. Enhancing Re-finding Behavior with External Memories for Personalized Search. In Proceedings of the 13th ACM International Conference on Web Search and Data Mining (WSDM '20). ACM, New York, NY, USA, (WSDM 2020) (CCF B) (Download | DOI)
  • Yutao Zhu, Ruihua Song, Zhicheng Dou*, Jian-Yun Nie, and Jin Zhou. ScriptWriter: Narrative-Guided Script Generation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, {ACL} 2020, Online, July 5-10, 2020: 8647-8657 (ACL 2020) (CCF A) (Download | DOI)
2019
  • Shuqi Lu, Zhicheng Dou*, Xu Jun, Jian-Yun Nie, and Ji-Rong Wen. PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval: 555-564 (SIGIR 2019) (CCF A) (Download | DOI)
  • Zhicheng Dou*, Xue Yang, Diya Li, Ji-Rong Wen, and Tetsuya Sakai. Low-cost, bottom-up measures for evaluating search result diversification. Information Retrieval Journal (2019). (IRJ) (Download | DOI)
  • Yutao Zhu, Zhicheng Dou*, Jian-Yun Nie, and Ji-Rong Wen. ReBoost: A Retrieval-Boosted Sequence-to-Sequence Model for Neural Response Generation. Information Retrieval Journal (2019). (IRJ) (Download | DOI)
  • Juan Li, Zhicheng Dou*, Yutao Zhu, Xiaochen Zuo, and Ji-Rong Wen. Deep Cross-platform Product Matching in E-commerce. Information Retrieval Journal (2019). (IRJ) (Download | DOI)
  • Yujia Zhou, , Zhicheng Dou*, Songwei Ge, and Ji-Rong Wen. Dynamic Personalized Search Based on RNN with Attention Mechanism. Chinese Journal of Computer (2019), Vol 42. (Download | DOI)
  • Zhicheng Dou*, Xubo Qin, and Ji-Rong Wen. A Survey on Search Result Diversification. Chinese Journal of Computer (2019), Vol 42. (Download | DOI)
  • Shuqi Lu, Zhicheng Dou*, and Ji-Rong Wen. Research On Structural Data Extraction in Surgical Cases. Chinese Journal of Computer (2019), Vol 42. (Download | DOI)
  • Xiaochen Zuo, Zhicheng Dou*, Zhen Huang, Shuqi Lu. Product Category Mining Associated with Weibo Hot Topics. Journal of Computer Research and Development,2019, 56(09):1927-1938. (Download | DOI)
  • Anwen Hu, Zhicheng Dou*, and Ji-Rong Wen. Document-Level Named Entity Recognition by Incorporating Global and Neighbor Features. Information Retrieval. 25th China Conference, CCIR 2019, Fuzhou, China, September 20–22, 2019, Proceedings. (Download | DOI)
2018
  • Zhengbao Jiang, Zhicheng Dou*, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue, and Ji-Rong Wen. Supervised Search Result Diversification via Subtopic Attention. IEEE Trans. Knowl. Data Eng. 30(10): 1971-1984 (2018) (TKDE) (CCF A) (Download | DOI)
  • Xiao-Jie Wang, Ji-Rong Wen, Zhicheng Dou*, Tetsuya Sakai, and Rui Zhang. Search Result Diversity Evaluation Based on Intent Hierarchies, IEEE Trans. Knowl. Data Eng. 30(1): 156-169 (2018) (TKDE) (CCF A) (Download | DOI)
  • Songwei Ge, Zhicheng Dou*, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen. Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. in Proceedings of the 27th ACM International Conference on Information and Knowledge Management: 347-356 (CIKM 2018) (CCF B) (Download | DOI)
  • Ji-Rong Wen, Zhicheng Dou*, Ruihua Song: Personalized Web Search. Encyclopedia of Database Systems (2nd ed.) 2018
2017
  • Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou*, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue. Learning to Diversify Search Results via Subtopic Attention. Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017) (CCF A) (Download | DOI)
  • Zhengbao Jiang, Zhicheng Dou*, Ji-Rong Wen. Generating Query Facets Using Knowledge Bases. IEEE Trans. Knowl. Data Eng. 29(2): 315-329 (2017) (TKDE) (CCF A) (Download | DOI)
  • Zhicheng Dou, Zhengbao Jiang, Jinxiu Li, Yichun Zhang, and Ji-Rong Wen. A Method of Mining Query Facets Based on Term Graph Analysis. Chinese Journal of Computer, 2017, 40(3):556-569. (Download | DOI) (In Chinese)
2016
  • Xiaojie Wang, Zhicheng Dou*, Tetsuya Sakai, and Ji-Rong Wen. Evaluating Search Result Diversity using Intent Hierarchies. In Proceedings of SIGIR, 2016. (SIGIR 2016) (CCF A) (Download | DOI)
  • Zhicheng Dou*, Zhengbao Jiang, Sha Hu, Ji-Rong Wen, Ruihua Song: Automatically Mining Facets for Queries from Their Search Results. IEEE Trans. Knowl. Data Eng. (TKDE) 28(2):385-397 (2016) (TKDE) (CCF A) (Download | DOI)
  • Sha Hu, Ji-Rong Wen, Zhicheng Dou, Shuo Shang. Following the dynamic block on the Web. World Wide Web 19(6): 1077-1101 (2016) (Download | DOI)
  • Takehiro Yamamoto, Yiqun Liu, Min Zhang, Zhicheng Dou, Ke Zhou, Ilya Markov, Makoto P. Kato, Hiroaki Ohshima, Sumio Fujita. Overview of the NTCIR-12 IMine-2 Task. NTCIR 2016 (Download)
  • Ming Yue, Zhicheng Dou, Sha Hu, Jinxiu Li, Xiao-Jie Wang, Ji-Rong Wen. RUCIR at NTCIR-12 IMINE-2 Task. NTCIR 2016 (Download)
  • Shaoping Ma, Ji-Rong Wen, Yiqun Liu, Zhicheng Dou, Min Zhang, Yi Chang, Xin Zhao. Information Retrieval Technology - 12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, November 30 - December 2, 2016, Proceedings. Lecture Notes in Computer Science 9994, Springer 2016, ISBN 978-3-319-48050-3 (Download)
2015
  • Zhongqi Lu, Zhicheng Dou*, Xing Xie, Jianxun Lian, Qiang Yang. Content-based Collaborative Filtering for News Topic Recommendation. In Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), Austin Texas, USA, Jan 25-29, 2015. (AAAI 2015) (CCF A) (Download | DOI)
  • Sha Hu, Zhicheng Dou*, Xiaojie Wang, Tetsuya Sakai, and Ji-Rong Wen. 2015. Search Result Diversification Based on Hierarchical Intents. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (CIKM '15). ACM, New York, NY, USA, 63-72. (CIKM 2015) (CCF B) (Download | DOI)
  • Sha Hu, Zhicheng Dou*, Xiao-Jie Wang, Ji-Rong Wen: Search Result Diversification Based on Query Facets. J. Comput. Sci. Technol. (JCST) 30(4):888-901 (2015) (Download | DOI)
  • Zhicheng Dou and Ji-Rong Wen. Web Analytical Engine in the Big Data Era. Big Data Journal, 2015(3). (In Chinese) (Download | DOI)
↑↑↑↑↑↑After I joined Renmin University of China↑↑↑↑↑↑
2014
  • Yiqun Liu, Ruihua Song, Min Zhang, Zhicheng Dou, Takehiro Yamamoto, Makoto Kato, Hiroaki Ohshima, Ke Zhou. Overview of the NTCIR-11 IMine Task. Proceedings of the 11th NTCIR conference. (Download)
  • Fei Chen, Yiqun Liu, Zhicheng Dou, Keyang Xu, Yujie Cao, Min Zhang, and Shaoping Ma, Revisiting the Evaluation of Diversified Search Evaluation Metrics with User Preferences. Proceedings of the 10th Asia Information Retrieval Society Conference (AIRS 2014) (Download)
  • Jingfei Li, Dawei Song, Peng Zhang, Ji-Rong Wen, and Zhicheng Dou, Personalizing Web Search Results Based on Subspace Projection, Proceedings of the 10th Asia Information Retrieval Society Conference (AIRS 2014) (Download)
  • Shu Tang, Zhicheng Dou, Xing Xie, and Jun He, Detecting and Monitoring Dynamic Content Blocks of a Web Page by Merging its Historical Versions, in SIGIR 2014 Workshop on Temporal, Social and Spatially-aware Information Access (TAIA2014), 2014 (Download)
2013
  • Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, and Ji-Rong Wen, Improving Web Search Ranking by Incorporating Structured Annotation of Queries, in Proceedings of EMNLP 2013, pages 468-478, October 2013 (EMNLP 2013) (CCF B) (Download)
  • Kosetsu Tsukuda, Tetsuya Sakai, Zhicheng Dou, and Katsumi Tanaka, Estimating Intent Types for Search Result Diversification, in Information Retrieval Technology, pages 25-37, Springer Berlin Heidelberg, 2013 (Download)
  • Ke Zhou, Tetsuya Sakai, Mounia Lalmas, Zhicheng Dou, and Joemon M. Jose, Evaluating Heterogeneous Information Access, in ACM SIGIR 2013 Workshop on Modeling User Behavior for Information Access Evaluation, 2013 (Download)
  • Qinglei Wang, Yanan Qian, Ruihua Song, Zhicheng Dou, Fan Zhang, Tetsuya Sakai, and Qinghua Zheng, Mining Subtopics from Text Fragments for a Web Query, in Information Retrieval 16(4) pages 484-503, 2013 (Download)
  • Tetsuya Sakai and Zhicheng Dou, Summaries, Ranked Retrieval and Sessions: A Unified Framework for Information Access Evaluation, in Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2013), pages 473-482, ACM, 2013 (The Best Paper Runner-Up Award) (SIGIR 2013) (CCF A) (Download)
  • Tetsuya Sakai, Zhicheng Dou, and Carles Clarke, The Impact of Intent Selection on Diversified Search Evaluation, in Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2013), pages 921-924, ACM, 2013 (SIGIR 2013) (CCF A) (Download)
  • Tetsuya Sakai, Zhicheng Dou, Takehiro Yamamoto, Yiqun Liu, Min Zhang, Makoto Kato, Ruihua Song, and Mayu Iwata, Summary of the NTCIR-10 INTENT-2 Task: Subtopic Mining and Search Result Diversification, in Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2013), pages 761 - 764, ACM, 2013 (SIGIR 2013) (CCF A) (Download)
  • Tetsuya Sakai, Zhicheng Dou, Takehiro Yamamoto, Yiqun Liu, Min Zhang, and Ruihua Song, Overview of the NTCIR-10 INTENT-2 Task, in Proceedings of the 10th NTCIR Conference, pages 94-123, June 18-21, 2013 (Download)
  • Kosetsu Tsukuda, Zhicheng Dou, and Tetsuya Sakai, Microsoft Research Asia at the NTCIR-10 Intent Task, in Proceedings of the 10th NTCIR Conference, June 2013 (Download)
  • Kazuya Narita, Tetsuya Sakai, Zhicheng Dou, and Young-In Song, MSRA at NTCIR-10 1CLICK-2, in Proceedings of the 10th NTCIR Conference, 2013 (Download)
2012
  • Tetsuya Sakai, Zhicheng Dou, Ruihua song, and Noriko Kando, The Reusability of a Diversified Search Test Collection, in Information Retrieval Technology (AIRS 2012), pages 26-38, Springer Berlin Heidelberg, 20 December 2012 (The Best Paper Award) (Download)
2011
  • Zhicheng Dou, Sha Hu, Kun Chen, Ruihua Song, and Ji-Rong Wen, Multi-dimensional Search Result Diversification, in Proceedings of the fourth ACM international conference on Web search and data mining (WSDM 2011), pages 475-484, ACM, February 2011 (WSDM 2011) (CCF B) (Download)
  • Zhicheng Dou, Finding Dimensions for Queries, in Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM 2011), pages 1311-1320, ACM, 2011 (CIKM 2011) (CCF B) (Download)
  • Jialong Han, Qinglei Wang, Naoki Orii, Zhicheng Dou, Tetsuya Sakai, and Ruihua Song, Microsoft Research Asia at the NTCIR-9 Intent Task, in Proceedings of the 10th NTCIR Conference (NTCIR-9), National Institute of Informatics, 2011 (CIKM 2011) (CCF B) (Download)
2010
  • Tetsuya Sakai, Nick Craswell, Ruihua Song, Stephen Robertson, Zhicheng Dou, and Chin-Yew Lin, Simple Evaluation Metrics for Diversified Search Results, in Proceedings of the Third International Workshop on Evaluating Information Access (EVIA), Volumn 26, pages 27, National Institute of Informatics, June 2010 (Download)
  • Ruihua Song, Zhicheng Dou, Hsiao-Wuen Hon, and Yong Yu, Learning Query Ambiguity Models by Using Search Logs, Journal of Computer Science and Technology, 25(4), pages 782-738, Springer, July 2010 (Download)
2009
  • Zhicheng Dou, Kun Chen, Ruihua Song, Yunxiao Ma, Shuming Shi, and Ji-Rong Wen, Microsoft Research Asia at the Web Track of TREC 2009, in Proceedings of TREC 2009, November 2009 (Download)
  • Ji-Rong Wen, Zhicheng Dou, and Ruihua Song, Personalized Web Search, in Encyclopedia of Database Systems, pages 2099-2103, Springer-Verlag, New York, USA, September 2009 (Download)
  • Zhicheng Dou, Ruihua Song, Jian-Yun Nie, and Ji-Rong Wen, Using Anchor Texts with Their Hyperlink Structure for Web Search, in Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval(SIGIR 2009), pages 227-234, ACM, July 2009 (SIGIR 2009) (CCF A) (Download)
  • Zhicheng Dou, Ruihua Song, Ji-Rong Wen, and Xiaojie Yuan, Evaluating the Effectiveness of Personalized Web Search, in IEEE Transactions on Knowledge and Data Engineering (TKDE), 21(8), pages 1178-1190, IEEE computer Society Digital Library, Aug., 2009 (TKDE) (CCF A) (Download)
2008
  • Zhicheng Dou, Ruihua Song, Xiaojie Yuan, and Ji-Rong Wen, Are click-through data adequate for learning web search rankings?, in Proceeding of the 17th ACM conference on Information and knowledge management (CIKM 2008), pages 73-82, ACM, New York, NY, USA, 2008 (CIKM 2008) (CCF B) (Download)
  • Zhicheng Dou, Xiaojie Yuan, and Songbai He, Analysis of Query Repetition in Large-scale Chinese Search Log, Computer Engineering, 34(21), Volumn 21, pages 40-44, 2008 (In Chinese) (Download)
  • Xiaojie Yuan, Zhicheng Dou, Lu Zhang, and Fang Liu, Automatic User Goals Identification Based on Anchor Text and Click-through Data, in Wuhan University Journal of Natural Sciences (WISA2008), 13(4), pages 495-500, 2008 (In Chinese) (Download)
  • Xiaojie Yuan, Zhicheng Dou, Fang Liu, and Lu Zhang, Personalized Web Search Based on Dynamic User Profile, NDBC 2008: Proceedings of the 25th National Database Conference (In Chinese) , 2008 (Download)
  • Lu ZHANG, Xiao-jie YUAN, Fang LIU, and Zhicheng Dou, Research on Distributed Index Mechanism for Large Dataset, Microelectronics & Computer, Volume 10, Pages 037, 2008
2007
  • Zhicheng Dou, Ruihua Song, and Ji-Rong Wen, A large-scale evaluation and analysis of personalized search strategies, in Proceedings of the 16th international conference on World Wide Web (WWW2007), pages 581-590, ACM Press, New York, NY, USA, 2007 (WWW 2007) (CCF A) (Download)

部分在研项目

  • 个性化及多样化搜索

    目前大部分搜索引擎都采用关键词作为查询。 因为查询词长度的限制以及用户背景的不同， 不同的用户在使用同一关键词（如苹果）进行查询时，有可能是在查找不同的内容。 例如用户A使用“苹果”查询美国苹果电脑公司的相关信息，而用户B使用“苹果”查询水果苹果的相关信息。 当用户提交此类查询词给搜索引擎时，得到的搜索结果中通常会混杂各种主题的网页。 用户往往需要花费经历从查询结果中得到自己需要的信息。 我们深入研究了解决该问题的两种方法：

    • 根据用户意图，返回给用户感兴趣的个性化的结果（个性化搜索）
    • 提高检索结果的多样性，尽量在前几个检索结果满足不同人的需求（搜索结果多样化）
    • 个性化和多样化融合，全面提升搜索排序质量

     

  • 个性化对话与聊天机器人（阿凡达）

    现有的聊天机器人和个性化对话系统忽略了人的个性化因素。我们聚焦于“个性化”聊天机器人的研究。 我们的愿景是每个人都可以有一个和自己的个性匹配的聊天机器人，机器人可以从你的对话历史中 自动学习出你的兴趣爱好、知识背景、说话风格等，并模拟你和别人对话。

     

  • 对话式搜索与推荐

    随着智能化设备如智能手机、智能手表、智能音箱的不断普及，信息检索从传统的PC端走向移动互联网， 传统的以关键词输入为主、返回文档或产品结果列表的信息检索和推荐模式不再适配。 检索和推荐、问答、对话等多种任务开始紧密结合，诞生了智能助手、自动客服、聊天机器人等多种新的产品形态。 用户以自然语言的方式与系统进行交互，系统返回个性化的、精准的答案给用户。 研究内容包括自然语言理解、查询解析、排序模型、机器阅读理解、知识图谱构建与问答等。

     

  • 互联网分析引擎（时事探针）

    近年来随着互联网的飞速发展，用户的信息需求也趋于复杂化，对大量相关文档的深入理解与聚合分析的需求越来越强烈， 而传统的返回简单结果列表的搜索引擎已经无法满足人们该类信息需求。用户迫切需要一种新的能够帮助用户完成复杂分析任务的系统。 和互联网搜索引擎提供的“搜索”功能不同，该系统能够对海量互联网大数据进行深入分析，因此称之为“互联网分析引擎”。 它就像一个“超人”，基于自然语言处理、数据挖掘、机器学习等技术，对海量互联网文档中所包含的关键信息与知识进行抽取、 挖掘和汇总，最终提供交互式分析过程来支持用户对挖掘到的高阶知识进行浏览和分析。 围绕着“互联网分析引擎”的核心理念，我们开发了一系列原型系统。

教授课程

主持科研项目

  • 基于深度学习的个性化搜索技术研究，国家自然科学基金面上项目
  • 基于法律法规的司法解释文件核查关键技术研究,国家重点研发计划课题
  • 信息检索中搜索结果个性化和多样化融合技术研究，国家自然科学基金青年项目，2016年1月至2018年12月
  • 面向智慧城市的人工智能视频分析关键技术与应用研究，山东省自然科学基金重大基础研究
  • 社交场景个性化搜索算法研究，某互联网企业
  • 互联网演艺设备大数据采集、抽取和检索技术研究，文化部科技文化提升项目 ，2015年5月至2016年10月
  • 农业互联网大数据采集、分析与展示合作项目，北京金禾天成科技有限公司，2015年7月至2016年12月
  • 基于实体的个性化搜索技术研究，中国人民大学科学研究基金项目，2015年1月至2017年12月

部分发明专利

  • 一种自动量刑的方法和系统
  • 一种基于强化学习的个性化搜索算法
  • 一种基于历史评估结果的主动学习算法
  • 一种情感对话生成系统和方法
  • 一种查询词推荐系统和方法
  • 一个利用实体信息增强个性化检索效果的搜索方法
  • 一个基于记忆神经网络的对话式信息检索的方法
  • 一种微信公众号文章阅读量的预测方法及系统
  • 基于记忆网络的个性化搜索算法及系统
  • 查询结果的排序方法、装置、电子设备以及存储介质
  • 一种基于深度匹配模型的跨平台商品匹配方法
  • 一种社会热点与商品品类的匹配方法
  • 对话生成方法和装置
  • 一种基于知识库的查询分面生成方法，中国人民大学（窦志成、文继荣、江政宝）、201510888652.8，2015年12月8日
  • 一种针对海量数据中查询词的搜索维度挖掘方法，中国人民大学（窦志成、文继荣、李谨秀），201510890422.5，2015年12月8日
  • 一种基于层次结构子话题的搜索结果多样化排序算法，中国人民大学（窦志成、文继荣、胡莎），201510888616.1，2015年12月8日
  • 一种基于互联网语料的热门话题自动挖掘系统，中国人民大学（窦志成、文继荣、江政宝），201510889261.8，2015年12月8日
  • Employing Page Links to Marge Pages of Articles (in publication)
  • Information Sensors for Sensing Web Dynamics (in publication)
  • Zhicheng Dou, Ruihua Song, and Ji-Rong Wen, Extracting Query Dimensions from Search Results, US-2013-0173605-A1, publication date:July 4, 2013
  • Zhicheng Dou, Junyan Chen, Ruihua Song, and Ji-Rong Wen, Using Anchor Text With Hyperlink Structures for Web Searches, US-2011-0238644-A1, US8380722 B2, publication date: Feb 19, 2013
  • Ji-Rong Wen, Guomao Xin, Yunxiao Ma, Yu Chen, Qing Yu, Yi Liu, Zhicheng Dou, and Shuming Shi, Data-Centric Search Engine Architecture, US-2011-0137886-A1, publication date: June 9, 2011
  • Ji-Rong Wen, Yu Chen, Guomao Xin, Yunxiao Ma, Yi Liu, Zhicheng Dou, Qing Yu, and Shuming Shi, Experimental Web Search System, US-2011-0078131-A1, publication date: Mar 31, 2011

软件著作权

  • 互联网媒体大数据多维分析系统软件，2015SR128127，2015-07-09
  • 互联网分析引擎系统软件2.0，2015R11S239695，2015-12-29
  • 互联网演艺设备信息大数据采集系统软件V1.0， 2016SR251483， 2016年9月7日
  • 基于大数据的中国法律现状分析系统V1.0， 2016SR301152 ,2016年10月20日
  • 科委年报分析系统软件，2016SR301028, 2016年10月20日

研究生招生

报名要求：
  • 读研究生的目的：想要在硕士生或博士生阶段培养自己的科研能力或者项目开发能力，为将来的工作或进一步深造打好基础，而不是仅仅为了拿到研究生学历或硕士博士学位；
  • 态度：踏实、勤奋、专注、做事有责任心，能够认真对待老师分配给的项目或者研究课题；只要学生有责任心，就一定能做出成果；
  • 基础：具有一定的编程开发动手能力，具有较强的自我学习能力，能够将研究想法编程实现；
对学生的培养：
  • 能力培养：根据学生兴趣，结合学生的特长和职业规划，为不同学生制定不同的能力培养计划，培养学生的科学研究能力（论文阅读、工作调研、问题分析、方法设计、实验分析、论文写作等）和工程能力（编程、系统设计、项目管理）；
  • 素质培养：培养学生做事的态度，锻炼语言沟通能力，增强团队合作意识；
  • 团队周例会，个人定期1:1面谈，强烈鼓励学生有问题随时沟通交流；
  • 多个与企业合作的实习机会；
欢迎各位有意向攻读硕士或博士学位的同学报考！ 欢迎各位有意愿的本科学生提前加入实验室实习！