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2020 – today
- 2022
[j31]Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Siqing Li, Ji-Rong Wen:
Knowledge-Guided Disentangled Representation Learning for Recommender Systems. ACM Trans. Inf. Syst. 40(1): 6:1-6:26 (2022)- [j30]Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen:
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. ACM Trans. Inf. Syst. 40(1): 11:1-11:29 (2022) - [c92]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 (1) 2022: 38-54 - [c91]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: 1488-1496 - [c90]Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao:
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. WWW 2022: 2320-2329 - [c89]Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen:
Filter-enhanced MLP is All You Need for Sequential Recommendation. WWW 2022: 2388-2399 - [i58]Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu:
C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. CoRR abs/2201.02732 (2022) - [i57]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
A Survey of Pretrained Language Models Based Text Generation. CoRR abs/2201.05273 (2022) - [i56]Tianyi Tang, Junyi Li, Wayne Xin Zhao:
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation. CoRR abs/2201.08670 (2022) - [i55]Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao:
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. CoRR abs/2202.06200 (2022) - [i54]Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao:
A Survey of Vision-Language Pre-Trained Models. CoRR abs/2202.10936 (2022) - [i53]Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen:
Filter-enhanced MLP is All You Need for Sequential Recommendation. CoRR abs/2202.13556 (2022) - [i52]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. CoRR abs/2203.01104 (2022) - [i51]Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. CoRR abs/2203.01597 (2022) - [i50]Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen:
Leveraging Search History for Improving Person-Job Fit. CoRR abs/2203.14232 (2022) - [i49]Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao:
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. CoRR abs/2204.11067 (2022) - [i48]Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qifei Wu, Yuchen Ding, Hua Wu, Haifeng Wang, Ji-Rong Wen:
A Thorough Examination on Zero-shot Dense Retrieval. CoRR abs/2204.12755 (2022) - [i47]Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Debiased Contrastive Learning of Unsupervised Sentence Representations. CoRR abs/2205.00656 (2022) - [i46]Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Wayne Xin Zhao, Ji-Rong Wen:
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. CoRR abs/2205.01523 (2022) - [i45]Junyi Li, Tianyi Tang, Jian-Yun Nie, Ji-Rong Wen, Wayne Xin Zhao:
Learning to Transfer Prompts for Text Generation. CoRR abs/2205.01543 (2022) - [i44]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models. CoRR abs/2205.01841 (2022) - [i43]Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie:
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. CoRR abs/2205.10775 (2022) - [i42]Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Ji-Rong Wen:
Negative Sampling for Contrastive Representation Learning: A Review. CoRR abs/2206.00212 (2022) - [i41]Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding:
ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CoRR abs/2206.02323 (2022) - [i40]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. CoRR abs/2206.05020 (2022) - [i39]Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Towards Universal Sequence Representation Learning for Recommender Systems. CoRR abs/2206.05941 (2022) - [i38]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. CoRR abs/2206.06315 (2022) - [i37]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, Ji-Rong Wen:
RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CoRR abs/2206.07351 (2022) - [i36]Xiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao:
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. CoRR abs/2206.09363 (2022) - [i35]Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
MVP: Multi-task Supervised Pre-training for Natural Language Generation. CoRR abs/2206.12131 (2022) - 2021
- [j29]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-trained models: Past, present and future. AI Open 2: 225-250 (2021) - [j28]Jingyuan Wang, Ning Wu, Xinxi Lu, Wayne Xin Zhao, Kai Feng:
Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter. IEEE Trans. Knowl. Data Eng. 33(3): 921-934 (2021) - [c88]Jiahao Yuan, Zihan Song, Mingyou Sun, Xiaoling Wang, Wayne Xin Zhao:
Dual Sparse Attention Network For Session-based Recommendation. AAAI 2021: 4635-4643 - [c87]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: 30-39 - [c86]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: 185-193 - [c85]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models. ACL/IJCNLP (Findings) 2021: 1558-1568 - [c84]Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval. ACL/IJCNLP (Findings) 2021: 2173-2183 - [c83]Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, Ji-Rong Wen:
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators. ACL/IJCNLP (1) 2021: 5388-5398 - [c82]Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Generating Long and Coherent Text with Multi-Level Generative Adversarial Networks. APWeb/WAIM (2) 2021: 49-63 - [c81]Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou:
Counterfactual Review-based Recommendation. CIKM 2021: 2231-2240 - [c80]Jingsen Zhang, Xu Chen, Wayne Xin Zhao:
Causally Attentive Collaborative Filtering. CIKM 2021: 3622-3626 - [c79]Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen:
Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation. CIKM 2021: 3737-3746 - [c78]Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, 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: 4653-4664 - [c77]Yu Feng, Jing Zhang, Gaole He, Wayne Xin Zhao, Lemao Liu, Quan Liu, Cuiping Li, Hong Chen:
A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base. EMNLP (Findings) 2021: 1852-1861 - [c76]Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking. EMNLP (1) 2021: 2825-2835 - [c75]Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen:
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. EMNLP (1) 2021: 3875-3887 - [c74]Jingyuan Wang, Jiawei Jiang, Wenjun Jiang, Chao Li, Wayne Xin Zhao:
LibCity: An Open Library for Traffic Prediction. SIGSPATIAL/GIS 2021: 145-148 - [c73]Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. IJCAI 2021: 4483-4491 - [c72]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Pretrained Language Model for Text Generation: A Survey. IJCAI 2021: 4492-4499 - [c71]Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao:
Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data. KDD 2021: 2154-2164 - [c70]Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen:
Debiasing Learning based Cross-domain Recommendation. KDD 2021: 3190-3199 - [c69]Houxing Ren, Jingyuan Wang, Wayne Xin Zhao, Ning Wu:
RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation. KDD 2021: 3503-3511 - [c68]Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xingji Luo, Cunxiang Yin, Jing Cai, Yancheng He:
Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value. KDD 2021: 3806-3816 - [c67]Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang:
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering. NAACL-HLT 2021: 5835-5847 - [c66]Xiaoxuan Hu, Hengtong Zhang, Wayne Xin Zhao, Yaliang Li, Jing Gao, Ji-Rong Wen:
RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer. NLPCC (1) 2021: 196-209 - [c65]Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-based Review Generation by Coherence Enhanced Text Planning. SIGIR 2021: 183-192 - [c64]Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Counterfactual Data-Augmented Sequential Recommendation. SIGIR 2021: 347-356 - [c63]Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen:
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. SIGIR 2021: 1733-1737 - [c62]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 2021: 553-561 - [c61]Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo, Ji-Rong Wen:
A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps. WWW 2021: 3199-3209 - [i34]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. CoRR abs/2101.00939 (2021) - [i33]Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Wayne Xin Zhao, Ji-Rong Wen:
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation. CoRR abs/2101.02046 (2021) - [i32]Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. CoRR abs/2101.03737 (2021) - [i31]Yuqi Huo, Manli Zhang, Guangzhen Liu, Haoyu Lu, Yizhao Gao, Guoxing Yang, Jingyuan Wen, Heng Zhang, Baogui Xu, Weihao Zheng, Zongzheng Xi, Yueqian Yang, Anwen Hu, Jinming Zhao, Ruichen Li, Yida Zhao, Liang Zhang, Yuqing Song, Xin Hong, Wanqing Cui, Dan Yang Hou, Yingyan Li, Junyi Li, Peiyu Liu, Zheng Gong, Chuhao Jin, Yuchong Sun, Shizhe Chen, Zhiwu Lu, Zhicheng Dou, Qin Jin, Yanyan Lan, Wayne Xin Zhao, Ruihua Song, Ji-Rong Wen:
WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training. CoRR abs/2103.06561 (2021) - [i30]Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-based Review Generation by Coherence Enhanced Text Planning. CoRR abs/2105.03815 (2021) - [i29]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Pretrained Language Models for Text Generation: A Survey. CoRR abs/2105.10311 (2021) - [i28]Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. CoRR abs/2105.11644 (2021) - [i27]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models. CoRR abs/2106.01623 (2021) - [i26]Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, Ji-Rong Wen:
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators. CoRR abs/2106.02205 (2021) - [i25]Hui Wang, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation. CoRR abs/2106.06722 (2021) - [i24]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-Trained Models: Past, Present and Future. CoRR abs/2106.07139 (2021) - [i23]Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval. CoRR abs/2108.06027 (2021) - [i22]Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Complex Knowledge Base Question Answering: A Survey. CoRR abs/2108.06688 (2021) - [i21]Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen:
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. CoRR abs/2109.05793 (2021) - [i20]Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen:
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking. CoRR abs/2110.07367 (2021) - 2020
- [j27]Wayne Xin Zhao, Yupeng Hou, Junhua Chen, Jonathan J. H. Zhu, Eddy Jing Yin, Hanting Su, Ji-Rong Wen:
Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale. ACM Trans. Inf. Syst. 38(2): 17:1-17:30 (2020) - [c60]Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen:
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. CIKM 2020: 65-74 - [c59]Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network. CIKM 2020: 735-744 - [c58]Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen:
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. CIKM 2020: 1893-1902 - [c57]Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen:
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. CIKM 2020: 2329-2332 - [c56]Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen:
Leveraging Historical Interaction Data for Improving Conversational Recommender System. CIKM 2020: 2349-2352 - [c55]Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen:
Towards Topic-Guided Conversational Recommender System. COLING 2020: 4128-4139 - [c54]Ning Wu, Wayne Xin Zhao, Jingyuan Wang, Dayan Pan:
Learning Effective Road Network Representation with Hierarchical Graph Neural Networks. KDD 2020: 6-14 - [c53]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 2020: 1006-1014 - [c52]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 (2) 2020: 475-486 - [c51]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 2020: 89-98 - [c50]Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy Huang:
KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. SIGIR 2020: 209-218 - [c49]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 2020: 740-751 - [i19]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. CoRR abs/2002.07397 (2020) - [i18]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. CoRR abs/2003.12718 (2020) - [i17]Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen:
Sequential Recommendation with Self-Attentive Multi-Adversarial Network. CoRR abs/2005.10602 (2020) - [i16]Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu:
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. CoRR abs/2007.04032 (2020) - [i15]Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen:
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. CoRR abs/2008.07873 (2020) - [i14]Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen:
Leveraging Historical Interaction Data for Improving Conversational Recommender System. CoRR abs/2008.08247 (2020) - [i13]Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen:
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. CoRR abs/2009.13299 (2020) - [i12]Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network. CoRR abs/2010.01480 (2020) - [i11]Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen:
Towards Topic-Guided Conversational Recommender System. CoRR abs/2010.04125 (2020) - [i10]Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen:
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. CoRR abs/2010.04484 (2020) - [i9]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. CoRR abs/2011.01731 (2020)
2010 – 2019
- 2019
- [j26]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. 1(2): 121-136 (2019) - [j25]Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu:
Heterogeneous Information Network Embedding for Recommendation. IEEE Trans. Knowl. Data Eng. 31(2): 357-370 (2019) - [j24]Ting Bai, Wayne Xin Zhao, Yulan He, Jian-Yun Nie, Ji-Rong Wen:
Correction to "Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites". IEEE Trans. Knowl. Data Eng. 31(4): 818 (2019) - [c48]Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song:
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding. ACL (1) 2019: 1969-1979 - [c47]Ning Wu, Jingyuan Wang, Wayne Xin Zhao, Yang Jin:
Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation. CIKM 2019: 1923-1932 - [c46]Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen:
Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network. EMNLP/IJCNLP (1) 2019: 4809-4819 - [c45]Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, Ji-Rong Wen:
A Neural Citation Count Prediction Model based on Peer Review Text. EMNLP/IJCNLP (1) 2019: 4913-4923 - [c44]Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin:
Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation. KDD 2019: 539-547 - [c43]Wayne Xin Zhao, Hongjian Dou, Yuanpei Zhao, Daxiang Dong, Ji-Rong Wen:
Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Bases. PAKDD (2) 2019: 16-28 - [c42]Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie, Ji-Rong Wen:
CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. SIGIR 2019: 675-684 - [c41]Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie:
Supervised Hierarchical Cross-Modal Hashing. SIGIR 2019: 725-734 - [c40]Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, Daxiang Dong:
Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation. WSDM 2019: 573-581 - [i8]Ting Bai, Pan Du, Wayne Xin Zhao, Ji-Rong Wen, Jian-Yun Nie:
A Long-Short Demands-Aware Model for Next-Item Recommendation. CoRR abs/1903.00066 (2019) - [i7]Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song:
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding. CoRR abs/1906.05667 (2019) - [i6]Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin:
Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation. CoRR abs/1907.08489 (2019) - 2018
- [j23]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. 56(3): 559-579 (2018) - [j22]Wayne Xin Zhao, Feifan Fan, Ji-Rong Wen, Edward Y. Chang:
Joint Representation Learning for Location-Based Social Networks with Multi-Grained Sequential Contexts. ACM Trans. Knowl. Discov. Data 12(2): 22:1-22:21 (2018) - [j21]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. 30(1): 59-72 (2018) - [j20]