2023年

 Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Xin Zhao, Ji-Rong Wen - Complex Knowledge Base Question Answering: A Survey - TKDE

Zhen Tian, Ting Bai, Zhang Zibin, xu zhiyuan, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao - Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation - WSDM 2023


2022年

Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan, Weizhu Chen - SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval - EMNLP 2022

Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen - ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation - EMNLP 2022

Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Wayne Xin Zhao, Jian-Yun Nie and Ji-Rong Wen - TextBox 2.0: A Text Generation Library with Pre-trained Language Models - EMNLP Demo 2022

Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen - Privacy-Preserved Neural Graph Similarity Learning - ICDM 2022

Ze-Feng Gao∗, Peiyu Liu∗, Wayne Xin Zhao†, Zhong-Yi Lu,Ji-Rong Wen - Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models - COLING 2022

Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen - Context-Tuning: Learning Contextualized Prompts for Natural Language Generation - COLING 2022

Changxin Tian, Zihan Lin, Shuqing Bian, Jinpeng Wang, Wayne Xin Zhao - Temporal Contrastive Pre-Training for Sequential Recommendation - CIKM 2022

Wayne Xin Zhao, Yupeng Hou*, Xingyu Pan*, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen and Ji-Rong Wen. RecBole 2.0: Towards a More Up-to-Date Recommendation Library - CIKM 2022 Resource paper

Shuqing Bian, Wayne Xin Zhao, Jinpeng Wang, Ji-Rong Wen. A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation - CIKM 2022 Applied Research Track

Xingyu Pan, Yushuo Chen, Changxin Tian, Zihan Lin, Jinpeng Wang, He Hu, Wayne Xin Zhao - Multimodal Meta-Learning for Cold-Start Sequential Recommendation - CIKM 2022 Applied Research Track

Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao - Modeling Two-Way Selection Preference for Person-Job Fit - RecSys 2022

Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, Ji-Rong Wen - A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms - TOIS 2022

Yupeng Hou*, Shanlei Mu*, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen - Towards Universal Sequence Representation Learning for Recommender Systems - KDD 2022

Xiaolei Wang*, Kun Zhou*, Ji-Rong Wen, Wayne Xin Zhao - Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning - KDD 2022

Zihan Lin*, Hui Wang*, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen - Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation - KDD 2022 Applied Data Science Track

Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen - JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding - KDD 2022 Applied Data Science Track

Yifan Du*, Zikang Liu*, Junyi Li, Wayne Xin Zhao - A Survey of Vision-Language Pre-Trained Models - IJCAI 2022 Survey Track

Jinhao Jiang, Kun Zhou, Ji-Rong Wen, Xin Zhao - Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models - NAACL-Findings 2022

Junyi Li, Tianyi Tang, Jian-Yun Nie, Ji-Rong Wen, Xin Zhao - Learning to Transfer Prompts for Text Generation - NAACL 2022

Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Xin Zhao, Ji-Rong Wen - ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models - NAACL 2022

Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao - CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space - SIGIR 2022, Short paper

Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding and Ji-Rong Wen - Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator - SIGIR 2022

Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang and Wayne Xin Zhao - Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering - SIGIR 2022

Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-rong Wen - Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation - SIGIR 2022

Hui Wang*, Kun Zhou*, Wayne Xin Zhao, Jingyuan Wang, and Ji-rong Wen - Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation - TOIS 2022

Zheng Gong*, Kun Zhou*, Xin Zhao, Jing Sha, Shijin Wang and Ji-Rong Wen - Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network - ACL 2022

Kun Zhou, Beichen Zhang, Wayne Xin Zhao and Ji-Rong Wen - Debiased Contrastive Learning of Unsupervised Sentence Representations - ACL 2022

Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen - Leveraging Search History for Improving Person-Job Fit - DASFAA 2022

Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen - Filter-enhanced MLP is All You Need for Sequential Recommendation - WWW 2022

Zihan Lin*, Changxin Tian*, Yupeng Hou*, Wayne Xin Zhao - Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning - WWW 2022

Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen - Neural Graph Matching for Pre-training Graph Neural Networks - SDM 2022

Yuanhang Zhou*, Kun Zhou*, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu - C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System - WSDM 2022

2021年

Ruiyang Ren*, Yingqi Qu*, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang and Ji-Rong Wen - RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking - EMNLP 2021

Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu and Ji-Rong Wen - Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models - EMNLP 2021

Xiaoxuan HU, Hengtong Zhang, Wayne Xin Zhao, Yaliang Li, Jing Gao and Ji-Rong Wen - RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer - NLPCC 2021

Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin and Ji-Rong Wen - Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation - CIKM 2021 Applied Track

Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen - RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms - CIKM 2021 Resource Track

Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen - Generating Long and Coherent Text with Multi-Level Generative Adversarial Networks - APWeb-WAIM 2021

Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen - TextBox: A Unified, Modularized, and Extensible Framework for Text Generation - ACL Demo 2021

Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen - CRSLab: An Open-Source Toolkit for Building Conversational Recommender System - ACL Demo 2021

Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding and Ji-Rong Wen - Interpretable Aspect-aware Capsule Network for Peer Review based Citation Count Prediction - TOIS 2021

Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding and Ji-Rong Wen - Debiasing Learning based Cross-domain Recommendation - KDD 2021 Applied Data Science Track

Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xinji Luo, Cunxiang Yin, Jing Cai, Yancheng He - Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value - KDD 2021 Applied Data Science Track

Houxing Ren, Jingyuan Wang, Wayne Xin Zhao, Ning Wu - RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation - KDD 2021 Applied Data Science Track

Hengtong Zhang*, Changxin Tian*, Yaliang Li, Lu Su, Jing Gao, Nan Yang, Wayne Xin Zhao - Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data - KDD 2021

Peiyu Liu*, Ze-Feng Gao*, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu and Ji-Rong Wen - Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators - ACL 2021

Ruiyang Ren*, Shangwen Lv*, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen - Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval - Findings of ACL 2021

Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen - Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models - Findings of ACL 2021

Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Siqing Li and Ji-Rong Wen - Knowledge-Guided Disentangled Representation Learning for Recommender Systems - TOIS 2021

Yunshi Lan∗ , Gaole He∗ , Jinhao Jiang, Jing Jiang, Xin Zhao and Ji-Rong Wen - A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions - IJCAI 2021 Survey Track

Junyi Li∗, Tianyi Tang∗, Wayne Xin Zhao and Ji-Rong Wen - Pretrained Language Model for Text Generation: A Survey - IJCAI 2021 Survey Track

Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, and Ji-Rong Wen - Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation - SIGIR 2021, Short paper

Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan and Ji-Rong Wen - Knowledge-based Review Generation by Coherence Enhanced Text Planning - SIGIR 2021

Jingyuan Wang, Ning Wu, and Wayne Xin Zhao - Personalized Route Recommendation with Neural Network Enhanced A∗ Search Algorithm - IEEE TKDE 2021

Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu and Haifeng Wang - RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering - NAACL 2021

Jiahao Yuan, Mingyou Sun, Zihan Song, Xiaoling Wang, Wayne Xin Zhao - Dual Sparse Attention Network for Session-Based Recommendation - AAAI 2021

Shuqing Bian, Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo and Ji-Rong Wen - A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps - WWW 2021

2020年

Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen - Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals - WSDM

Kun Zhou*, Yuanhang Zhou*, Wayne Xin Zhao, Xiaoke Wang and Ji-Rong Wen - Towards Topic-Guided Conversational Recommender System - COLING

Shuqing Bian, Xu Chen, Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang and Ji-Rong Wen - Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network - CIKM

Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Nicholas Jing Yuan, Zhicheng Wei and Ji-Rong Wen - Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network - CIKM

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

Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu and Ji-Rong Wen - Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms (Short paper) - CIKM

Kun Zhou, Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang and Ji-Rong Wen - Leveraging Historical Interaction Data for Improving Conversational Recommender System (Short paper) - CIKM

Ning Wu, Wayne Xin Zhao, Jingyuan Wang, Dayan Pan - Learning Effective Road Network Representation with Hierarchical Graph Neural Networks - KDD

Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu - Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion - KDD

Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen - Sequential Recommendation with Self-Attentive Multi-Adversarial Network - SIGIR

Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy Huang - KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation - SIGIR

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

Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen - Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning - WWW

2019年

Wayne Xin Zhao, Gaole He, Kunlin Yang, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen - KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems - Data Intell.

Wayne Xin Zhao, Yupeng Hou*, Junhua Chen*, Jonathan Zhu, Jing Yin, Hanting Su, Ji-Rong Wen - Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale - ACM Trans. Inf. Syst.

Jingyuan Wang, Ning Wu, Xinxi Lu, Wayne Xin Zhao, and Kai Feng - Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter - IEEE Trans. Knowl. Data Eng.

Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang and Ji-Rong Wen - Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network - EMNLP

Siqing Li, Wayne Xin Zhao, Jing Yin and Ji-Rong Wen - A Neural Citation Count Prediction Model based on Peer Review Text - EMNLP

Ning Wu, Jingyuan Wang, Xin Zhao and Yang Jin - Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation - CIKM

Junyi Li, Wayne Xin Zhao, Ji-Rong Wen and Yang Song - Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding - ACL

Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng and Xin Lin - Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation - KDD

Ting Bai, Pan Du, Wayne Xin Zhao, Ji-Rong Wen, Jian-Yun Nie - A Long-Short Demands-Aware Model for Next-Item Recommendation - SIGIR

Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie - Supervised Hierarchical Cross-Modal Hashing - SIGIR

Wayne Xin Zhao, Hong-Jian Dou, Yuanpei Zhao, Daxiang Dong, Ji-Rong Wen - Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Bases - PAKDD

Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu - Heterogeneous Information Network Embedding for Recommendation - IEEE Trans. Knowl. Data Eng.

Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, Daxiang Dong - Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation - WSDM

2018年

Wayne Xin Zhao, Ningnan Zhou, Aixin Sun, Ji-Rong Wen, Jialong Han, Edward Y. Chang - A time-aware trajectory embedding model for next-location recommendation - Knowl. Inf. Syst.

Wayne Xin Zhao, Feifan Fan, Ji-Rong Wen, Edward Y. Chang - Joint Representation Learning for Location-Based Social Networks with Multi-Grained Sequential Contexts - TKDD

Jialong Han, Aixin Sun, Gao Cong, Wayne Xin Zhao, Zongcheng Ji, Minh C. Phan - Linking Fine-Grained Locations in User Comments - IEEE Trans. Knowl. Data Eng.

Zhengbao Jiang, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue, Ji-Rong Wen - Supervised Search Result Diversification via Subtopic Attention - IEEE Trans. Knowl. Data Eng.

Ting Bai, Wayne Xin Zhao, Yulan He, Jian-Yun Nie, Ji-Rong Wen - Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites - IEEE Trans. Knowl. Data Eng.

Wayne Xin Zhao, Wenhui Zhang, Yulan He, Xing Xie, Ji-Rong Wen - Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems - ACM Trans. Inf. Syst.

Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, Hua Wu - Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network - ACL

Jialong Han, Yan Song, Wayne Xin Zhao, Shuming Shi, Haisong Zhang - hyperdoc2vec: Distributed Representations of Hypertext Documents - ACL

Qi Gu, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen - A Neural Labeled Network Embedding Approach to Product Adopter Prediction - AIRS

Binbin Hu, Chuan Shi, Wayne Xin Zhao, Tianchi Yang - Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network - CIKM

Jialong Han, Aixin Sun, Gao Cong, Wayne Xin Zhao, Zongcheng Ji, Minh C. Phan - Linking Fine-Grained Locations in User Comments (Extended Abstract) - ICDE

Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu - Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model - KDD

Jin Huang, Wayne Xin Zhao, Hong-Jian Dou, Ji-Rong Wen, Edward Y. Chang - Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks - SIGIR

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

2017年

Wayne Xin Zhao, Chen Liu, Ji-Rong Wen, Xiaoming Li - Ranking and tagging bursty features in text streams with context language models - Frontiers Comput. Sci.

Jun Yin, Wayne Xin Zhao, Xiaoming Li - Type-Aware Question Answering over Knowledge Base with Attention-Based Tree-Structured Neural Networks - J. Comput. Sci.

Ting Bai, Hong-Jian Dou, Wayne Xin Zhao, Ding-Yi Yang, Ji-Rong Wen - An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data - J. Comput. Sci. Technol.

Feifan Fan, Wayne Xin Zhao, Ji-Rong Wen, Ge Xu, Edward Y. Chang - Mining collective knowledge: inferring functional labels from online review for business - Knowl. Inf. Syst.

Cheng Yang, Maosong Sun, Wayne Xin Zhao, Zhiyuan Liu, Edward Y. Chang - A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories - ACM Trans. Inf. Syst.

Yuan Yao, Wayne Xin Zhao, Yaojing Wang, Hanghang Tong, Feng Xu, Jian Lu - Version-Aware Rating Prediction for Mobile App Recommendation - ACM Trans. Inf. Syst.

Lei Shi, Wayne Xin Zhao, Yi-Dong Shen - Local Representative-Based Matrix Factorization for Cold-Start Recommendation - ACM Trans. Inf. Syst.

Wenwen Ye, Yongfeng Zhang, Wayne Xin Zhao, Xu Chen, Zheng Qin - A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images - AIRS

Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Wenwen Ye, Zheng Qin - Probabilistic Local Matrix Factorization Based on User Reviews - AIRS

Ting Bai, Ji-Rong Wen, Jun Zhang, Wayne Xin Zhao - A Neural Collaborative Filtering Model with Interaction-based Neighborhood - CIKM

Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang - A Correlated Topic Model Using Word Embeddings - IJCAI

Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue - Learning to Diversify Search Results via Subtopic Attention - SIGIR

2016年

Wayne Xin Zhao, Ji-Rong Wen, Xiaoming Li - Generating timeline summaries with social media attention. Frontiers Comput - Sci.

Wayne Xin Zhao, Sui Li, Yulan He, Liwei Wang, Ji-Rong Wen, Xiaoming Li - Exploring demographic information in social media for product recommendation - Knowl. Inf. Syst.

Wayne Xin Zhao, Jinpeng Wang, Yulan He, Ji-Rong Wen, Edward Y. Chang, Xiaoming Li - Mining Product Adopter Information from Online Reviews for Improving Product Recommendation - TKDD

Wayne Xin Zhao, Sui Li, Yulan He, Edward Y. Chang, Ji-Rong Wen, Xiaoming Li - Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information - IEEE Trans. Knowl. Data Eng.

Ningnan Zhou, Wayne Xin Zhao, Xiao Zhang, Ji-Rong Wen, Shan Wang - A General Multi-Context Embedding Model for Mining Human Trajectory Data - IEEE Trans. Knowl. Data Eng.

Wayne Xin Zhao, Ningnan Zhou, Wenhui Zhang, Ji-Rong Wen, Shan Wang, Edward Y. Chang - A Probabilistic Lifestyle-Based Trajectory Model for Social Strength Inference from Human Trajectory Data - ACM Trans. Inf. Syst.

Wayne Xin Zhao, Jing Liu, Yulan He, Chin-Yew Lin, Ji-Rong Wen - A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs - World Wide Web

Jin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Y. Chang, Jianguo Xiao - Tweet Timeline Generation with Determinantal Point Processes - AAAI

Wayne Xin Zhao, Jin Huang, Ji-Rong Wen - Learning Distributed Representations for Recommender Systems with a Network Embedding Approach - AIRS

Keqiang Wang, Wayne Xin Zhao, Hongwei Peng, Xiaoling Wang - Bayesian Probabilistic Multi-Topic Matrix Factorization for Rating Prediction - IJCAI

2015年

Wayne Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie, Ji-Rong Wen, Xiaoming Li - Incorporating Social Role Theory into Topic Models for Social Media Content Analysis - IEEE Trans. Knowl. Data Eng.

Wayne Xin Zhao, Xudong Zhang, Daniel Lemire, Dongdong Shan, Jian-Yun Nie, Hongfei Yan, Ji-Rong Wen - A General SIMD-Based Approach to Accelerating Compression Algorithms - ACM Trans. Inf. Syst.

Jinpeng Wang, Gao Cong, Wayne Xin Zhao, Xiaoming Li - Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets - AAAI

Feifan Fan, Runwei Qiang, Chao Lv, Wayne Xin Zhao, Jianwu Yang - Tweet Timeline Generation via Graph-Based Dynamic Greedy Clustering - AIRS

Jinpeng Wang, Wayne Xin Zhao, Yulan He, Xiaoming Li - Leveraging Product Adopter Information from Online Reviews for Product Recommendation - ICWSM