Kun Zhou

Bio

Kun Zhou is a PHD student at School of Information, Renmin University of China, under the supervision of Wayne Xin Zhao and Ji-Rong Wen. His research interests are in natural language processing (NLP), information retrival (IR) and machine learning (ML), with focuses on conversational recommender system (CRS), representation learning and their applications in real-world scenarios. He obtained the master degree from Peking University, and bachelor from Hohai University.

Email: francis_kun_zhou@163.com

News

My two long papers are submitted to EMNLP2021. Wish me good luck (;´д`)ゞ

Our one paper CRSLab is accepted by the demo track of ACL2021!!! Thanks for all my comrades in AIBOX!

Publications

CRSLab: An Open-Source Toolkit for Building Conversational Recommender System (ACL2021 demo track paper)

Kun Zhou*, Xiaolei Wang*, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li and Ji-Rong Wen (*equal contribution)

Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals (SIGIR2021 short paper)

Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Hao Jiang and Zhicheng Dou

A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps (WWW2021 Research Track long paper)

Shuqing Bian, Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo and Ji-Rong Wen

Content Selection Network for Document-grounded Retrieval-based Chatbots (ECIR2021 long paper)

Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du and Zhicheng Dou

Neural Sentence Ordering Based on Constraint Graphs (AAAI2021)

Yutao Zhu, Kun Zhou, Jian-Yun Nie, Shengchao Liu, Zhicheng Dou

Towards Topic-Guided Conversational Recommender System (Coling2020 long paper)

Kun Zhou*, Yuanhang Zhou*, Wayne Xin Zhao, Xiaoke Wang and Ji-Rong Wen (*equal contribution)

Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension (Coling2020 long paper)

Xuemiao Zhang, Kun Zhou, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang and Junfei Liu

Leveraging Historical Interaction Data for Improving Conversational Recommender System (CIKM2020 Research Track short paper)

Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang and Ji-Rong Wen

S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization (CIKM2020 Research Track long paper)

Kun Zhou*, Hui Wang*, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang and Ji-Rong Wen (*equal contribution)

Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network (CIKM2020 Research Track long paper)

Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang and Ji-Rong Wen

Multi-modal Knowledge Graphs for Recommender Systems (CIKM2020 Research Track long paper)

Rui Sun, Xuezhi Cao, Yan Zhao, Junchen Wan, Kun Zhou, Fuzheng Zhang and Zhongyuan Wang and Kai Zheng

Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion (KDD2020 Research Track)

Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen and Jingsong Yu

Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting (PAKDD2020)

Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen and Jingsong Yu

Unsupervised Context Rewriting for Open Domain Conversation (EMNLP-IJCNLP2019 long paper)

Kun Zhou, Kai Zhang, Yu Wu, Shujie Liu and Jingsong Yu

Experiences

2019.12 - 2021.5, Research Intern, NLP center, Meituan Dianping.

Mentor: Sirui Wang, Fuzheng Zhang

I public four papers in CIKM2020 during my internship, thanks for my friends in Meituan.

2018.8 - 2019.6, Research Intern, XiaoIce, Microsoft Asia.

Mentor: Kai Zhang

I public my first top-conference paper during my internship, thanks for everyone in XiaoIce.