威尼斯人娱乐场官方网站

威尼斯人娱乐场官方网站 ，教授（长聘副教授）, 2020年10月-至今

中国人民大学信息学院，教授, 2020年9月-2020年10月

中国人民大学信息学院，副教授, 2017年8月-2020年8月

中国人民大学信息学院，讲师, 2014年8月-2017年8月

科大讯飞北京研究院，访问学者，2018年8月-至今

百度人工智能部，访问学者，2018年1月-2018年3月

微软亚洲研究院，铸星计划访问研究员， 2017年3月-2017年8月

微软亚洲研究院，实习生, 2013年9月 - 2014年1月

微软亚洲研究院，实习生, 2013年4月 - 2013年7月

新加坡管理大学，访问学生, 2010年3月 - 2011年1月

1. 大语言模型（类 ChatGPT）的训练、微调以及提示工程

推荐联系我组的同学 ，可以 阅读 《A Survey of Large Language Models》英文综述和《大语言模型 》中文书，了解我所从事的研究方向。

2. 自然语言处理

3. 信息检索与推荐系统

（2024年9月入学的考研硕士名额仍然有空缺，欢迎大家联系）

小组主页：

//aibox.venetianylc.com/

小组知乎：

//zhuanlan.zhihu.com/RucAIBox

小组GitHub：

//github.com/RUCAIBox/

小组微信号：

rucaibox

1、人工智能与python程序设计（本科）

2、自然语言处理导论（本科）

受到国家自然科学基金以及多项横向企业资助

2021

A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps

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

WWW 

Dual Sparse Attention Network for Session-Based Recommendation

Jiahao Yuan, Mingyou Sun, Zihan Song, Xiaoling Wang, Wayne Xin Zhao

AAAI 

RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu and Haifeng Wang

NAACL

Personalized Route Recommendation with Neural Network Enhanced A∗ Search Algorithm

Jingyuan Wang, Ning Wu, and Wayne Xin Zhao

IEEE TKDE

Knowledge-based Review Generation by Coherence Enhanced Text Planning

Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan and Ji-Rong Wen

SIGIR

Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation

Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, and Ji-Rong Wen

SIGIR (Short paper)

Pretrained Language Model for Text Generation: A Survey

Junyi Li∗, Tianyi Tang∗, Wayne Xin Zhao and Ji-Rong Wen

IJCAI (Survey Track)

A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions

Yunshi Lan∗ , Gaole He∗ , Jinhao Jiang, Jing Jiang, Xin Zhao and Ji-Rong Wen

IJCAI (Survey Track)

Knowledge-Guided Disentangled Representation Learning for Recommender Systems

Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Siqing Li and Ji-Rong Wen

TOIS 

Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models

Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen

ACL (Findings)

Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval

Ruiyang Ren*, Shangwen Lv*, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen

ACL (Findings)

Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators

Peiyu Liu*, Ze-Feng Gao*, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu and Ji-Rong Wen

ACL 

Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data

Hengtong Zhang*, Changxin Tian*, Yaliang Li, Lu Su, Jing Gao, Nan Yang, Wayne Xin Zhao

KDD 

RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation

Houxing Ren, Jingyuan Wang, Wayne Xin Zhao, Ning Wu

KDD (Applied Data Science Track)

Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value

Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xinji Luo, Cunxiang Yin, Jing Cai, Yancheng He

KDD (Applied Data Science Track)

Debiasing Learning based Cross-domain Recommendation

Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding and Ji-Rong Wen

KDD (Applied Data Science Track)

Interpretable Aspect-aware Capsule Network for Peer Review based Citation Count Prediction

Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding and Ji-Rong Wen

TOIS 

CRSLab: An Open-Source Toolkit for Building Conversational Recommender System

Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen

ACL (Demo)

TextBox: A Unified, Modularized, and Extensible Framework for Text Generation

Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen

ACL (Demo)

Generating Long and Coherent Text with Multi-Level Generative Adversarial Networks

Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen

APWeb-WAIM

2020

Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning

Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen

WWW

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

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

PAKDD

KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation

Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy Huang

SIGIR

Sequential Recommendation with Self-Attentive Multi-Adversarial Network

Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen

SIGIR

Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

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

KDD

Learning Effective Road Network Representation with Hierarchical Graph Neural Networks

Ning Wu, Wayne Xin Zhao, Jingyuan Wang, Dayan Pan

KDD

Leveraging Historical Interaction Data for Improving Conversational Recommender System

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

CIKM (Short paper)

Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorith