近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
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), May 1–5, 2023, Austin, TX, USA. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3543507.3583265 (WWW 2023) (CCF A) ( Download )
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. https://doi.org/10.1145/3543507.3583488 (WWW 2023) (CCF A) ( Download )
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 (2023). https://doi.org/10.1007/s11633-022-1373-9 ( Download )
Han Zhang, Zhicheng Dou*, Yutao Zhu and Ji-rong Wen. “Contrastive Learning for Legal Judgment Prediction.” ACM Transactions on Information Systems (2023) https://doi.org/10.1145/3580489 (TOIS) (CCF A) ( Download )
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. https://doi.org/10.1145/3539597.3570391 (WSDM 2023) (CCF B) ( Download )
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. https://doi.org/10.1145/3539597.3570390 (WSDM 2023) (CCF B) ( Download )
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. (AAAI 2023) (CCF A) ( Download )
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 (2022) (Download | DOI)
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 )
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. (May 2022). (TOIS 2022) (CCF A) (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)
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. (TOIS 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)
[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] 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. (TKDE 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.
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)
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)
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
京公网安备 11010802027423号