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2020 – today
- 2021
[c89]Gang Wang, Ziyi Guo, Xiang Li, Dawei Yin, Shuai Ma:
SceneRec: Scene-Based Graph Neural Networks for Recommender Systems. EDBT 2021: 397-402- [c88]Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang:
Unbiased Learning to Rank in Feeds Recommendation. WSDM 2021: 490-498 - [c87]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
UserSim: User Simulation via Supervised GenerativeAdversarial Network. WWW 2021: 3582-3589 - [i36]Gang Wang, Ziyi Guo, Xiang Li, Dawei Yin, Shuai Ma:
SceneRec: Scene-Based Graph Neural Networks for Recommender Systems. CoRR abs/2102.06401 (2021) - [i35]Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin:
User-Inspired Posterior Network for Recommendation Reason Generation. CoRR abs/2102.07919 (2021) - [i34]Lianzhe Huang, Peiyi Wang, Sujian Li, Tianyu Liu, Xiaodong Zhang, Zhicong Cheng, Dawei Yin, Houfeng Wang:
First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction. CoRR abs/2102.08549 (2021) - [i33]Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin:
Data-Efficient Reinforcement Learning for Malaria Control. CoRR abs/2105.01620 (2021) - [i32]Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin:
Pre-trained Language Model based Ranking in Baidu Search. CoRR abs/2105.11108 (2021) - [i31]Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang:
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation. CoRR abs/2105.13623 (2021) - [i30]Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin:
Pre-trained Language Model for Web-scale Retrieval in Baidu Search. CoRR abs/2106.03373 (2021) - 2020
- [j9]Xiao Huang, Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke:
Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020. SIGIR Forum 54(1): 6:1-6:5 (2020) - [j8]Xu Chen, Kun Xiong, Yongfeng Zhang, Long Xia, Dawei Yin, Jimmy Xiangji Huang:
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network. ACM Trans. Inf. Syst. 39(1): 8:1-8:22 (2020) - [c86]Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin:
Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation. AAAI 2020: 7472-7479 - [c85]Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin:
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network. AAAI 2020: 7708-7715 - [c84]Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao, Dawei Yin:
Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight. ACL 2020: 6334-6343 - [c83]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
Whole-Chain Recommendations. CIKM 2020: 1883-1891 - [c82]Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin:
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems. CIKM 2020: 2493-2500 - [c81]Wenwen Ye, Zheng Qin, Zhuoye Ding, Dawei Yin:
Game Recommendation Based on Dynamic Graph Convolutional Network. DASFAA (1) 2020: 335-351 - [c80]Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin:
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. ICDM 2020: 701-710 - [c79]Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin:
Exemplar Guided Neural Dialogue Generation. IJCAI 2020: 3601-3607 - [c78]Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin:
Modeling Topical Relevance for Multi-Turn Dialogue Generation. IJCAI 2020: 3737-3743 - [c77]Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester:
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. KDD 2020: 439-449 - [c76]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 - [c75]Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin:
Streaming Graph Neural Networks. SIGIR 2020: 719-728 - [c74]Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. SIGIR 2020: 749-758 - [c73]Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin:
Time Matters: Sequential Recommendation with Complex Temporal Information. SIGIR 2020: 1459-1468 - [c72]Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin:
User-Inspired Posterior Network for Recommendation Reason Generation. SIGIR 2020: 1937-1940 - [c71]Hongshen Chen, Zhaochun Ren, Pengjie Ren, Dawei Yin, Xiaodong He:
AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems. SIGIR 2020: 2448-2450 - [c70]Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel:
Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. SIGIR 2020: 2468-2471 - [c69]Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Dawei Yin:
Hierarchical User Profiling for E-commerce Recommender Systems. WSDM 2020: 223-231 - [c68]Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin:
Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. WSDM 2020: 816-824 - [c67]Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke:
NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. WSDM 2020: 907-908 - [c66]Yuanxing Liu, Zhaochun Ren, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Dawei Yin:
Keywords Generation Improves E-Commerce Session-based Recommendation. WWW 2020: 1604-1614 - [i29]Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang:
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. CoRR abs/2001.06216 (2020) - [i28]Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin:
Adaptive Parameterization for Neural Dialogue Generation. CoRR abs/2001.06626 (2020) - [i27]Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin:
Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation. CoRR abs/2003.00639 (2020) - [i26]Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin:
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network. CoRR abs/2003.02020 (2020) - [i25]Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao, Dawei Yin:
Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight. CoRR abs/2004.02594 (2020) - [i24]Linfang Hou, Liang Pang, Xin Hong, Yanyan Lan, Zhiming Ma, Dawei Yin:
Robust Reinforcement Learning with Wasserstein Constraint. CoRR abs/2006.00945 (2020) - [i23]Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester:
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. CoRR abs/2006.04435 (2020) - [i22]Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. CoRR abs/2007.02095 (2020) - [i21]Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin:
Modeling Topical Relevance for Multi-Turn Dialogue Generation. CoRR abs/2009.12735 (2020)
2010 – 2019
- 2019
- [j7]Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin:
Deep reinforcement learning for search, recommendation, and online advertising: a survey. SIGWEB Newsl. 2019(Spring): 4:1-4:15 (2019) - [c65]Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin:
Spectral Clustering in Heterogeneous Information Networks. AAAI 2019: 4221-4228 - [c64]Jiashu Zhao, Hongshen Chen, Dawei Yin:
A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding. CIKM 2019: 1843-1852 - [c63]Hongshen Chen, Jiashu Zhao, Dawei Yin:
Fine-Grained Product Categorization in E-commerce. CIKM 2019: 2349-2352 - [c62]Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, Weidong Liu:
Reinforcement Learning to Diversify Top-N Recommendation. DASFAA (2) 2019: 104-120 - [c61]Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin:
Adaptive Parameterization for Neural Dialogue Generation. EMNLP/IJCNLP (1) 2019: 1793-1802 - [c60]Junjie Li, Xuepeng Wang, Dawei Yin, Chengqing Zong:
Attribute-aware Sequence Network for Review Summarization. EMNLP/IJCNLP (1) 2019: 2998-3008 - [c59]Zhiwei Wang, Xiaorui Liu, Jiliang Tang, Dawei Yin:
Weight Loss Prediction in Social-Temporal Context. ICHI 2019: 1-9 - [c58]Weijian Chen
, Yulong Gu, Zhaochun Ren, Xiangnan He, Hongtao Xie, Tong Guo, Dawei Yin, Yongdong Zhang:
Semi-supervised User Profiling with Heterogeneous Graph Attention Networks. IJCAI 2019: 2116-2122 - [c57]Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin:
Off-policy Learning for Multiple Loggers. KDD 2019: 1184-1193 - [c56]Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla:
Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. KDD 2019: 2613-2622 - [c55]Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin:
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. KDD 2019: 2810-2818 - [c54]Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li:
Deep social collaborative filtering. RecSys 2019: 305-313 - [c53]Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang:
Multi-dimensional Graph Convolutional Networks. SDM 2019: 657-665 - [c52]Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin, Rui Yan:
Product-Aware Answer Generation in E-Commerce Question-Answering. WSDM 2019: 429-437 - [c51]Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo:
DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. WSDM 2019: 844-845 - [c50]Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Graph Neural Networks for Social Recommendation. WWW 2019: 417-426 - [c49]Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin:
MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. WWW 2019: 717-728 - [i20]Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin, Rui Yan:
Product-Aware Answer Generation in E-Commerce Question-Answering. CoRR abs/1901.07696 (2019) - [i19]Xiangyu Zhao, Long Xia, Yihong Zhao, Dawei Yin, Jiliang Tang:
Model-Based Reinforcement Learning for Whole-Chain Recommendations. CoRR abs/1902.03987 (2019) - [i18]Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin:
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. CoRR abs/1902.05570 (2019) - [i17]Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Graph Neural Networks for Social Recommendation. CoRR abs/1902.07243 (2019) - [i16]Xiangyu Zhao, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Toward Simulating Environments in Reinforcement Learning Based Recommendations. CoRR abs/1906.11462 (2019) - [i15]Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li:
Deep Social Collaborative Filtering. CoRR abs/1907.06853 (2019) - [i14]Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin:
Off-policy Learning for Multiple Loggers. CoRR abs/1907.09652 (2019) - 2018
- [j6]Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Süleyman Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang:
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. IEEE Trans. Knowl. Data Eng. 30(7): 1352-1365 (2018) - [j5]Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei:
Optimizing Whole-Page Presentation for Web Search. ACM Trans. Web 12(3): 19:1-19:25 (2018) - [c48]Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, Dawei Yin:
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. ACL (1) 2018: 1437-1447 - [c47]Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu, Dawei Yin:
Knowledge Diffusion for Neural Dialogue Generation. ACL (1) 2018: 1489-1498 - [c46]Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin:
Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation. CIKM 2018: 1403-1412 - [c45]Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, Dawei Yin:
Learning Tag Dependencies for Sequence Tagging. IJCAI 2018: 4581-4587 - [c44]Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin:
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. KDD 2018: 1040-1048 - [c43]Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Deep reinforcement learning for page-wise recommendations. RecSys 2018: 95-103 - [c42]Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke:
Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial. SIGIR 2018: 1379-1382 - [c41]Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin:
Multi-Dimensional Network Embedding with Hierarchical Structure. WSDM 2018: 387-395 - [c40]Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin:
A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce. WSDM 2018: 619-627 - [c39]Meizi Zhou, Zhuoye Ding, Jiliang Tang, Dawei Yin:
Micro Behaviors: A New Perspective in E-commerce Recommender Systems. WSDM 2018: 727-735 - [c38]Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao, Dawei Yin:
Hierarchical Variational Memory Network for Dialogue Generation. WWW 2018: 1653-1662 - [i13]Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Dawei Yin, Yihong Zhao, Jiliang Tang:
Deep Reinforcement Learning for List-wise Recommendations. CoRR abs/1801.00209 (2018) - [i12]Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin:
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. CoRR abs/1802.06501 (2018) - [i11]Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Deep Reinforcement Learning for Page-wise Recommendations. CoRR abs/1805.02343 (2018) - [i10]Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang:
Multi-dimensional Graph Convolutional Networks. CoRR abs/1808.06099 (2018) - [i9]Zhiwei Wang, Yao Ma, Dawei Yin, Jiliang Tang:
Linked Recurrent Neural Networks. CoRR abs/1808.06170 (2018) - [i8]Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin:
Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation. CoRR abs/1808.10596 (2018) - [i7]Yao Ma, Ziyi Guo, Zhaochun Ren, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Dynamic Graph Neural Networks. CoRR abs/1810.10627 (2018) - [i6]Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin:
Reinforcement Learning for Online Information Seeking. CoRR abs/1812.07127 (2018) - 2017
- [j4]Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang:
A Survey on Dialogue Systems: Recent Advances and New Frontiers. SIGKDD Explor. 19(2): 25-35 (2017) - [j3]Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, Yi Chang:
Large-Scale Location Prediction for Web Pages. IEEE Trans. Knowl. Data Eng. 29(9): 1902-1915 (2017) - [c37]Zhiwei Wang, Tyler Derr, Dawei Yin, Jiliang Tang:
Understanding and Predicting Weight Loss with Mobile Social Networking Data. CIKM 2017: 1269-1278 - [c36]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. WWW 2017: 381-389 - [i5]Yao Ma, Suhang Wang, Zhaochun Ren, Dawei Yin, Jiliang Tang:
Preserving Local and Global Information for Network Embedding. CoRR abs/1710.07266 (2017) - [i4]Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang:
A Survey on Dialogue Systems: Recent Advances and New Frontiers. CoRR abs/1711.01731 (2017) - 2016
- [c35]Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu:
Recommendation with Social Dimensions. AAAI 2016: 251-257 - [c34]Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang:
Learning to Rewrite Queries. CIKM 2016: 1443-1452 - [c33]Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu:
Timeline Summarization from Social Media with Life Cycle Models. IJCAI 2016: 3698-3704 - [c32]Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly Jr., Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, Yi Chang:
Ranking Relevance in Yahoo Search. KDD 2016: 323-332 - [c31]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Positive-Unlabeled Learning in Streaming Networks. KDD 2016: 755-764 - [c30]Shan Jiang, Yuening Hu, Changsung Kang, Tim Daly Jr., Dawei Yin, Yi Chang, ChengXiang Zhai:
Learning Query and Document Relevance from a Web-scale Click Graph. SIGIR 2016: 185-194 - [c29]Neil O'Hare, Paloma de Juan, Rossano Schifanella, Yunlong He, Dawei Yin, Yi Chang:
Leveraging User Interaction Signals for Web Image Search. SIGIR 2016: 559-568 - [c28]Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei:
Beyond Ranking: Optimizing Whole-Page Presentation. WSDM 2016: 103-112 - [i3]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. CoRR abs/1607.06182 (2016) - 2015
- [j2]Changsung Kang, Dawei Yin, Ruiqiang Zhang, Nicolas Torzec, Jianzhang He, Yi Chang:
Learning to rank related entities in Web search. Neurocomputing 166: 309-318 (2015) - [c27]Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang:
Causal Inference via Sparse Additive Models with Application to Online Advertising. AAAI 2015: 297-303 - [c26]Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang:
Consistent Collective Matrix Completion under Joint Low Rank Structure. AISTATS 2015 - [c25]Pengyuan Wang, Wei Sun, Dawei Yin, Jian Yang, Yi Chang:
Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis. WSDM 2015: 67-76 - [c24]Dawei Yin, Chih-Chieh Hung, Rui Li, Yi Chang:
The 2nd workshop on Vertical Search Relevance at WSDM 2015. WSDM 2015: 427-428 - [c23]Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang, Marsha Meytlis:
Rethink Targeting: Detect 'Smart Cheating' in Online Advertising through Causal Inference. WWW (Companion Volume) 2015: 133-134 - [c22]Pengyuan Wang, Wei Sun, Dawei Yin:
What Size Should A Mobile Ad Be? WWW (Companion Volume) 2015: 943-944 - 2014
- [c21]Zaihan Yang, Dawei Yin, Brian D. Davison:
Recommendation in Academia: A joint multi-relational model. ASONAM 2014: 566-571 - [c20]Dawei Yin, Shike Mei, Bin Cao, Jian-Tao Sun, Brian D. Davison:
Exploiting contextual factors for click modeling in sponsored search. WSDM 2014: 113-122 - [c19]Dawei Yin, Bin Cao, Jian-Tao Sun, Brian D. Davison:
Estimating ad group performance in sponsored search. WSDM 2014: 143-152 - [i2]Makoto Yamada, Avishek Saha, Hua Ouyang, Dawei Yin, Yi Chang:
N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. CoRR abs/1411.2331 (2014) - [i1]Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang:
Consistent Collective Matrix Completion under Joint Low Rank Structure. CoRR abs/1412.2113 (2014) - 2013
- [c18]Guillaume Bouchard, Dawei Yin, Shengbo Guo:
Convex Collective Matrix Factorization. AISTATS 2013: 144-152 - [c17]Dawei Yin, Shengbo Guo, Boris Chidlovskii, Brian D. Davison, Cédric Archambeau, Guillaume Bouchard:
Connecting comments and tags: improved modeling of social tagging systems. WSDM 2013: 547-556 - 2012
- [c16]Josiah Poon, Dawei Yin, Simon K. Poon, Runshun Zhang, Baoyan Liu, Daniel Man-yuen Sze:
Co-evolution of symptom-herb relationship. IEEE Congress on Evolutionary Computation 2012: 1-6 - 2011
- [c15]Zhenzhen Xue, Dawei Yin, Brian D. Davison:
Normalizing Microtext. Analyzing Microtext 2011 - [c14]Dawei Yin, Liangjie Hong, Zhenzhen Xue, Brian D. Davison:
Temporal Dynamics of User Interests in Tagging Systems. AAAI 2011 - [c13]Josiah Poon, Dawei Yin, Simon K. Poon, Xuezhong Zhou, Runshun Zhang, Baoyan Liu, Daniel Man-yuen Sze:
Co-evolutionary genetic algorithm in symptom-herb relationship discovery. BIBM Workshops 2011: 890-894 - [c12]Dawei Yin, Liangjie Hong, Brian D. Davison:
Structural link analysis and prediction in microblogs. CIKM 2011: 1163-1168 - [c11]Liangjie Hong, Dawei Yin, Jian Guo, Brian D. Davison:
Tracking trends: incorporating term volume into temporal topic models. KDD 2011: 484-492 - [c10]