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ORCIDJi-Rong Wen
文继荣
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- affiliation: Renmin University of China, Beijing, China
- affiliation (former): Microsoft Research
- unicode name: 文继荣
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2020 – today
- 2021
[j69]Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang:
Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. 15(1): 151601 (2021)- [j68]Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis:
Deep understanding of big geospatial data for self-driving cars. Neurocomputing 428: 308-309 (2021) - [i45]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) - [i44]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) - [i43]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) - 2020
- [j67]Aoxue Li, Zhiwu Lu
, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen:
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. Int. J. Comput. Vis. 128(12): 2810-2827 (2020) - [j66]Yutao Zhu, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
ReBoost: a retrieval-boosted sequence-to-sequence model for neural response generation. Inf. Retr. J. 23(1): 27-48 (2020) - [j65]Zhicheng Dou, Xue Yang, Diya Li, Ji-Rong Wen, Tetsuya Sakai:
Low-cost, bottom-up measures for evaluating search result diversification. Inf. Retr. J. 23(1): 86-113 (2020) - [j64]Juan Li, Zhicheng Dou, Yutao Zhu, Xiaochen Zuo, Ji-Rong Wen:
Deep cross-platform product matching in e-commerce. Inf. Retr. J. 23(2): 136-158 (2020) - [j63]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) - [c158]Anwen Hu, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
Leveraging Multi-Token Entities in Document-Level Named Entity Recognition. AAAI 2020: 7961-7968 - [c157]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 - [c156]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 - [c155]Zhengyi Ma, Zhicheng Dou, Guanyue Bian, Ji-Rong Wen:
PSTIE: Time Information Enhanced Personalized Search. CIKM 2020: 1075-1084 - [c154]Xubo Qin, Zhicheng Dou, Ji-Rong Wen:
Diversifying Search Results using Self-Attention Network. CIKM 2020: 1265-1274 - [c153]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 - [c152]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 - [c151]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 - [c150]Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen:
Towards Topic-Guided Conversational Recommender System. COLING 2020: 4128-4139 - [c149]Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Mingyu Ding, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Lightweight Action Recognition in Compressed Videos. ECCV Workshops (2) 2020: 337-352 - [c148]Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue:
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. EMNLP (Findings) 2020: 137-147 - [c147]Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen:
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. EMNLP (1) 2020: 2985-2994 - [c146]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 - [c145]Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Scalable Graph Neural Networks via Bidirectional Propagation. NeurIPS 2020 - [c144]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 - [c143]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 - [c142]Jiongnan Liu, Zhicheng Dou, Xiao-Jie Wang, Shuqi Lu, Ji-Rong Wen:
DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features. SIGIR 2020: 479-488 - [c141]Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen:
Reinforcement Learning to Rank with Pairwise Policy Gradient. SIGIR 2020: 509-518 - [c140]Shuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang, Ji-Rong Wen:
Knowledge Enhanced Personalized Search. SIGIR 2020: 709-718 - [c139]Yujia Zhou, Zhicheng Dou, Ji-Rong Wen:
Encoding History with Context-aware Representation Learning for Personalized Search. SIGIR 2020: 1111-1120 - [c138]Jing Yao, Zhicheng Dou, Ji-Rong Wen:
Employing Personal Word Embeddings for Personalized Search. SIGIR 2020: 1359-1368 - [c137]Hanzhi Wang, Zhewei Wei, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Exact Single-Source SimRank Computation on Large Graphs. SIGMOD Conference 2020: 653-663 - [c136]Yujia Zhou, Zhicheng Dou, Ji-Rong Wen:
Enhancing Re-finding Behavior with External Memories for Personalized Search. WSDM 2020: 789-797 - [c135]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 - [c134]Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen:
RLPer: A Reinforcement Learning Model for Personalized Search. WWW 2020: 2298-2308 - [e4]Jimmy Huang, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu:
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020. ACM 2020, ISBN 978-1-4503-8016-4 [contents] - [i42]Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis. CoRR abs/2002.02050 (2020) - [i41]Nanyi Fei, Zhiwu Lu, Yizhao Gao, Jia Tian, Tao Xiang, Ji-Rong Wen:
Meta-Learning across Meta-Tasks for Few-Shot Learning. CoRR abs/2002.04274 (2020) - [i40]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) - [i39]Jianhong Zhang, Manli Zhang, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning. CoRR abs/2002.12641 (2020) - [i38]An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo:
Domain-Adaptive Few-Shot Learning. CoRR abs/2003.08626 (2020) - [i37]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) - [i36]Hanzhi Wang, Zhewei Wei, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Exact Single-Source SimRank Computation on Large Graphs. CoRR abs/2004.03493 (2020) - [i35]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) - [i34]Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen:
Counterfactual VQA: A Cause-Effect Look at Language Bias. CoRR abs/2006.04315 (2020) - [i33]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) - [i32]Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan, Ji-Rong Wen:
Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient. CoRR abs/2007.12817 (2020) - [i31]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) - [i30]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) - [i29]Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Hongjin Qian, Zhanliang Liu, Zhicheng Dou, Ji-Rong Wen:
Pchatbot: A Large-Scale Dataset for Personalized Chatbot. CoRR abs/2009.13284 (2020) - [i28]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) - [i27]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) - [i26]Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue:
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. CoRR abs/2010.03224 (2020) - [i25]Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen:
Towards Topic-Guided Conversational Recommender System. CoRR abs/2010.04125 (2020) - [i24]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) - [i23]Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen:
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. CoRR abs/2010.07717 (2020) - [i22]Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Scalable Graph Neural Networks via Bidirectional Propagation. CoRR abs/2010.15421 (2020) - [i21]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
- [j62]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) - [j61]Yulei Niu, Zhiwu Lu, Ji-Rong Wen, Tao Xiang, Shih-Fu Chang:
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation. IEEE Trans. Image Process. 28(4): 1720-1731 (2019) - [j60]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) - [c133]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 - [c132]Anwen Hu, Zhicheng Dou, Ji-Rong Wen:
Document-Level Named Entity Recognition by Incorporating Global and Neighbor Features. CCIR 2019: 79-91 - [c131]Danyang Liu, Ting Bai, Jianxun Lian, Xin Zhao, Guangzhong Sun, Ji-Rong Wen, Xing Xie:
News Graph: An Enhanced Knowledge Graph for News Recommendation. KaRS@CIKM 2019: 1-7 - [c130]Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen:
Recursive Visual Attention in Visual Dialog. CVPR 2019: 6679-6688 - [c129]Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Face-Focused Cross-Stream Network for Deception Detection in Videos. CVPR 2019: 7802-7811 - [c128]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 - [c127]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 - [c126]Yanlei Yu, Zhiwu Lu, Jiajun Liu, Guoping Zhao, Ji-Rong Wen:
RUM: Network Representation Learning Using Motifs. ICDE 2019: 1382-1393 - [c125]Yuqi Huo, Jiechao Guan, Jianhong Zhang, Manli Zhang, Ji-Rong Wen, Zhiwu Lu:
Zero-Shot Learning with Few Seen Class Samples. ICME 2019: 1336-1341 - [c124]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 - [c123]Shuqi Lu, Zhicheng Dou, Xu Jun, Jian-Yun Nie, Ji-Rong Wen:
PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data. SIGIR 2019: 555-564 - [c122]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 - [c121]Yuqi Huo, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen:
Coarse-to-Fine Grained Classification. SIGIR 2019: 1033-1036 - [c120]Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen:
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. SIGMOD Conference 2019: 1042-1059 - [c119]Xiaochen Zuo, Xue Yang, Zhicheng Dou, Ji-Rong Wen:
RUCIR at TREC 2019: Conversational Assistance Track. TREC 2019 - [c118]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 - [i20]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) - [i19]Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen:
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. CoRR abs/1905.02354 (2019) - [i18]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) - [i17]Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ji-Rong Wen:
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN. CoRR abs/1907.05793 (2019) - [i16]Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen:
Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. CoRR abs/1908.07600 (2019) - [i15]Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen:
Mobile Video Action Recognition. CoRR abs/1908.10155 (2019) - 2018
- [j59]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) - [j58]Aoxue Li, Zhiwu Lu, Liwei Wang, Peng Han, Ji-Rong Wen:
Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation. IEEE Trans. Cybern. 48(1): 253-263 (2018) - [j57]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) - [j56]Xiao-Jie Wang, Ji-Rong Wen, Zhicheng Dou, Tetsuya Sakai, Rui Zhang:
Search Result Diversity Evaluation Based on Intent Hierarchies. IEEE Trans. Knowl. Data Eng. 30(1): 156-169 (2018) - [j55]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. 30(10): 1971-1984 (2018) - [j54]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. 30(12): 2271-2284 (2018) - [j53]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. 36(3): 27:1-27:33 (2018) - [j52]Jun Chen, Yueguo Chen, Xiangling Zhang, Xiaoyong Du, Ke Wang, Ji-Rong Wen:
Entity set expansion with semantic features of knowledge graphs. J. Web Semant. 52-53: 33-44 (2018) - [c117]Qi Gu, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen:
A Neural Labeled Network Embedding Approach to Product Adopter Prediction. AIRS 2018: 77-89 - [c116]Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen:
Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. CIKM 2018: 347-356 - [c115]Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen:
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems. CIKM Workshops 2018 - [c114]Shuo Shang, Lisi Chen, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis:
Searching Trajectories by Regions of Interest. ICDE 2018: 1741-1742 - [c113]Yuqi Huo, Mingyu Ding, An Zhao, Jun Hu, Ji-Rong Wen, Zhiwu Lu:
Zero-Shot Learning with Superclasses. ICONIP (3) 2018: 460-472 - [c112]Guoping Zhao, Jiajun Liu, Jiacheng Jiang, Hua Guan, Ji-Rong Wen:
Skip-Connected Deep Convolutional Autoencoder for Restoration of Document Images. ICPR 2018: 2935-2940 - [c111]Guoping Zhao, Jiacheng Jiang, Jiajun Liu, Yanlei Yu, Ji-Rong Wen:
Improving Person Re-identification by Body Parts Segmentation Generated by GAN. IJCNN 2018: 1-8 - [c110]An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Domain-Invariant Projection Learning for Zero-Shot Recognition. NeurIPS 2018: 1027-1038 - [c109]Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen, Edward Y. Chang:
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks. SIGIR 2018: 505-514 - [c108]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 2018: 1201-1204 - [c107]Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang, Ji-Rong Wen:
TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs. SIGMOD Conference 2018: 441-456 - [r4]Ji-Rong Wen, Zhicheng Dou, Ruihua Song:
Personalized Web Search. Encyclopedia of Database Systems (2nd ed.) 2018 - [i14]Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen:
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems. CoRR abs/1807.11141 (2018) - [i13]An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Domain-Invariant Projection Learning for Zero-Shot Recognition. CoRR abs/1810.08326 (2018) - [i12]Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen:
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. CoRR abs/1810.08329 (2018) - [i11]Zhiwu Lu, Jiechao Guan, Aoxue Li, Tao Xiang, An Zhao, Ji-Rong Wen:
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning. CoRR abs/1810.08332 (2018) - [i10]Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen:
Recursive Visual Attention in Visual Dialog. CoRR abs/1812.02664 (2018) - [i9]Nanyi Fei, Jiajun Liu, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Zero-Shot Learning with Sparse Attribute Propagation. CoRR abs/1812.04427 (2018) - [i8]Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Face-Focused Cross-Stream Network for Deception Detection in Videos. CoRR abs/1812.04429 (2018) - 2017
- [j51]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. 11(5): 852-862 (2017) - [j50]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. 32(4): 828-842 (2017) - [j49]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. 53(3): 723-747 (2017) - [j48]Aoxue Li, Zhiwu Lu, Liwei Wang, Tao Xiang, Ji-Rong Wen:
Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 55(7): 4157-4167 (2017) - [j47]Zhengbao Jiang, Zhicheng Dou, Ji-Rong Wen:
Generating Query Facets Using Knowledge Bases. IEEE Trans. Knowl. Data Eng. 29(2): 315-329 (2017) - [j46]Shuo Shang, Lisi Chen, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis:
Searching Trajectories by Regions of Interest. IEEE Trans. Knowl. Data Eng. 29(7): 1549-1562 (2017) - [c106]Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen:
FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation. AAAI 2017: 1474-1480 - [c105]Shuo Yang, Lei Zou, Zhongyuan Wang, Jun Yan, Ji-Rong Wen:
Efficiently Answering Technical Questions - A Knowledge Graph Approach. AAAI 2017: 3111-3118 - [c104]Ting Bai, Ji-Rong Wen, Jun Zhang, Wayne Xin Zhao:
A Neural Collaborative Filtering Model with Interaction-based Neighborhood. CIKM 2017: 1979-1982 - [c103]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis:
Collective Travel Planning in Spatial Networks. ICDE 2017: 59-60 - [c102]