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
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
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
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
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
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
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
Wayne Xin Zhao, Kun Zhou*, Beichen Zhang*, Zheng Gong*, Zhipeng Chen*, Yuanhang Zhou*, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu - JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving - KDD 2023 Applied Data Science Track
Ze-Feng Gao, Kun Zhou, Peiyu Liu, Wayne Xin Zhao, Ji-Rong Wen - Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization - ACL 2023
Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang - TOME: A Two-stage Approach for Model-based Retrieval - ACL 2023
Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen - Diffusion Models for Non-autoregressive Text Generation: A Survey - IJCAI Survey Track
Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao - EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction - SIGIR 2023
Lanling Xu*, Zhen Tian*, Gaowei Zhang, Junjie Zhang, Lei Wang, Bowen Zheng, Yifan Li, Jiakai Tang, Zeyu Zhang, Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Xu Chen and Ji-Rong Wen - Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems - SIGIR 2023 Resource Paper