教育经历

  • 2019年-2023年,蒙特利尔大学,博士
  • 2016年-2019年,中国人民大学信息学院,硕士
  • 2012年-2016年,中国人民大学信息学院,学士

工作经历

  • 2023年至今,中国人民大学高瓴人工智能学院,博士后,合作导师:窦志成教授

研究方向

大语言模型、信息检索、对话系统

研究成果

2023


Large Language Models for Information Retrieval: A Survey
Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Zhicheng Dou, and Ji-Rong Wen
ArXiv


Learning to Relate to Previous Turns in Conversational Search
Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, and Yang Liu
KDD 2023


ConvGQR: Generative Query Reformulation for Conversational Search
Fengran Mo, Kelong Mao, Yutao Zhu, Yihong Wu, Kaiyu Huang, and Jian-Yun Nie
ACL 2023


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
Findings of ACL 2023


WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus
Hongjing Qian, Yutao Zhu, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu, Ruofei Lai, Zhao Cao, Jian-Yun Nie, and Ji-Rong Wen
ArXiv


Contrastive Learning for Legal Judgment Prediction
Han Zhang, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen
TOIS


Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search
Yuhang Ye, Zhonghua Li, Zhicheng Dou, Yutao Zhu, Changwang Zhang, Shangquan Wu, and Zhao Cao
AAAI 2023


A Text-guided Protein Design Framework
Shengchao Liu, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Anthony Gitter, Chaowei Xiao, Jian Tang, Hongyu Guo, and Anima Anandkumar
ArXiv


Heterogeneous Graph-based Context-aware Document Ranking
Shuting Wang, Zhicheng Dou, and Yutao Zhu
WSDM 2023


2022


MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling
Zhaoheng Huang, Zhicheng Dou, Yutao Zhu, and Zhengyi Ma
Findings of EMNLP 2022


Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding
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
COLING 2022


From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking
Yutao Zhu, Jian-Yun Nie, Yixuan Su, Haonan Chen, Xinyu Zhang, and Zhicheng Dou
CIKM 2022


Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search
Haonan Chen, Zhicheng Dou, Yutao Zhu, Zhao Cao, Xiaohua Cheng, and Ji-Rong Wen
CIKM 2022


GDESA: Greedy Diversity Encoder with Self-Attention for Search Results Diversification
Xubo Qin, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen
TOIS


Knowledge Enhanced Search Result Diversification
Zhan Su, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen
KDD 2022


Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation
Hanxun Zhong, Zhicheng Dou, Yutao Zhu, Hongjin Qian, and Ji-Rong Wen
NAACL-HLT 2022



Leveraging Narrative to Generate Movie Script
Yutao Zhu, Ruihua Song, Jian-Yun Nie, Pan Du, Zhicheng Dou, and Jin Zhou
TOIS


2021


Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking
Yutao Zhu, Jian-Yun Nie, Zhicheng Dou, Zhengyi Ma, Xinyu Zhang, Pan Du, Xiaochen Zuo, and Hao Jiang
CIKM 2021


PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling
Yujia Zhou, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen
CIKM 2021


Learning Implicit User Profile for Personalized Retrieval-Based Chatbot
Hongjin Qian, Zhicheng Dou, Yutao Zhu, Yueyuan Ma, and Ji-Rong Wen
CIKM 2021


Interaction-Based Document Matching for Implicit Search Result Diversification
Xubo Qin, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen
CCIR 2021, Best Paper Award


Graph Neural Collaborative Topic Model for Citation Recommendation
Qianqian Xie, Yutao Zhu, Jimin Huang, Pan Du, and Jian-Yun Nie
TOIS


Few-Shot Charge Prediction with Multi-grained Features and Mutual Information
Han Zhang, Zhicheng Dou, Yutao Zhu, and Ji-Rong Wen
CCL 2021


Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals
Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Hao Jiang, and Zhicheng Dou
SIGIR 2021 (Short)


Modeling Intent Graph for Search Result Diversification
Zhan Su, Zhicheng Dou, Yutao Zhu, Xubo Qin, and Ji-Rong Wen
SIGIR 2021


One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles
Zhengyi Ma, Zhicheng Dou, Yutao Zhu, Hanxun Zhong, and Ji-Rong Wen
SIGIR 2021


Pchatbot: A Large-Scale Dataset for Personalized Chatbot [Code]
Hongjin Qian, Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Yutao Zhu, Zhanliang Liu, Zhicheng Dou, and Ji-Rong Wen
SIGIR 2021 (Resource)


Content Selection Network for Document-grounded Retrieval-based Chatbots
Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, and Zhicheng Dou
ECIR 2021


Neural Sentence Ordering Based on Constraint Graphs
Yutao Zhu, Kun Zhou, Jian-Yun Nie, Shengchao Liu, and Zhicheng Dou
AAAI 2021


2020


S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen
CIKM 2020


ScriptWriter: Narrative-Guided Script Generation
Yutao Zhu, Ruihua Song, Zhicheng Dou, Jian-Yun Nie, and Jin Zhou
ACL 2020


Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting
Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, and Jingsong Yu
PAKDD 2020


2019


ReBoost: A Retrieval-Boosted Sequence-to-SequenceModel for Neural Response Generation
Yutao Zhu, Zhicheng Dou, Jian-Yun Nie, and Ji-Rong Wen
Information Retrieval Journal


Deep Cross-platform Product Matching in E-commerce
Juan Li, Zhicheng Dou, Yutao Zhu, Xiaochen Zuo, and Ji-Rong Wen
Information Retrieval Journal


A Hybrid Framework of Emotion-Aware Seq2Seq Model for Emotional Conversation Generation
Xiaohe Li, Jiaqing Liu, Weihao Zheng, Xiangbo Wang, Yutao Zhu, and Zhicheng Dou
NTCIR 2019


2018


An Attribute-aware Neural Attentive Model for Next Basket Recommendation
Ting Bai, Jian-Yun Nie, Wayne Xin Zhao, Yutao Zhu, Pan Du, and Ji-Rong Wen
SIGIR 2018 (Short)

荣誉奖励

  • 2019 谷歌卓越博士生奖学金
  • 2016 北京市优秀毕业生

社会兼职

  • 程序委员会成员:NeurIPS, ACL, SIGIR, SIGKDD, AAAI, EMNLP, CIKM, WSDM
  • 期刊审稿人:TOIS, KAIS, TALLIP, Computing Surveys

contact

电话:--

邮箱:ytzhu@ruc.edu.cn

个人网页:https://daod.github.io/

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