Bo Wang, Heyan Huang, Xiaochi Wei, Ge Shi, Xiao Liu, Chong Feng, Tong Zhou, Shuaiqiang Wang and Dawei Yin. Boosting Event Extraction with Denoised Structure-to-Text Augmentation. In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, 2023.
Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin. Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, 2023.
Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang and Dawei Yin. Graph Enhanced BERT for Query Understanding, In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023). Taipei, Taiwan, China, Jul. 2023.
Xubin Ren, Chao Huang, Lianghao Xia, Jiashu Zhao and Dawei Yin. Disentangled Contrastive Collaborative Filtering. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Taipei, Taiwan, China, Jul. 2023.
Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin. User Retention-oriented Recommendation with Decision Transformer. In Proceedings of the Web Conference (WWW 2023), Austin, Texas, USA, Apr. 2023.
Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren. Feature-Level Debiased Natural Language Understanding. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), United States of America, Feb. 2023.
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D Davison. Model-based Unbiased Learning to Rank. In Proceedings of the 14th ACM Conference on Web Search and Data Mining (WSDM 2023), Singapore, Feb. 2023.
Lianshang Cai, Linhao Zhang, Dehong Ma, Jun Fan, Daiting Shi, Yi Wu, Zhicong Cheng, Simiu Gu and Dawei Yin. PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, United Arab Emirates, Dec. 2022.
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin. A Large Scale Search Dataset for Unbiased Learning to Rank. In Proceedings of Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), Nov. 2022.
Lixin Zou, Changying Hao, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Wenwen Ye, Zhicong Cheng, Simu Gu, and Dawei Yin. Approximated Doubly Robust Search Relevance Estimation. In Proceedings of the 30th ACM Conference on Information and Knowledge Management (CIKM 2022), Oct. 2022.
Boming Zhao, Bangbang Yang, Zhenyang Li, Zuoyue Li, Guofeng Zhang, Jiashu Zhao, Dawei Yin, Zhaopeng Cui, Hujun Bao. Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation. In Proceedings of the 30th ACM International Conference on Multimedia (ACMMM 2022), Lisbon, Portugal, Oct. 2022.
Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu and Dawei Yin. Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. In Proceedings of the 45th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Online, July, 2022.
Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin. A Hierarchical Multi-Granularity Pre-Trained Language Model for Web Search. In Proceedings of the 45th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Online, July, 2022.
Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin and Jimmy Huang. Hypergraph contrastive collaborative filtering. In Proceedings of the 45th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Online, Jul. 2022.
Lan Jiang, Tianshu Lyu, Yankai Lin, Meng Chong, Xiaoyong Lyu, Dawei Yin. On Length Divergence Bias in Textual Matching Models. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Online, May 2022
Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Dawei Yin, Lixin Zou, Jingping Bi. Contrastive Disentangled Graph Convolutional Network for Weakly-supervised Node Classification. In Proceeding of the 27th International Conference on Database Systems for Advanced Applications (DASFAA2022), Hyderabad, India, Apr. 2022.
Liang Wen, Houfeng Wang, Dehong Ma, Jun Fan, Yingwei Luo, Xiaolin Wang, Daiting Shi, Zhicong Cheng, Dawei Yin. A question-oriented propagation network for news reading comprehension. In Procedding of 2022 IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP2022), Singapore, May 2022.
Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang and Dawei Yin. Fast Semantic Matching via Flexible Contextualized Interaction. In Proceedings of the 14th ACM Conference on Web Search and Data Mining (WSDM 2022), Phoenix, AZ, USA, Feb. 2022.
Li Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyv, Dawei Yin and Haiping Lu. A GNN-based Multi-task Learning Framework for Personalized Video Search. In Proceedings of the 14th ACM Conference on Web Search and Data Mining (WSDM 2022), Phoenix, AZ, USA, Feb. 2022.
Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao and Dawei Yin. Contrastive Meta Learning with Behavior Multiplicity for Recommendation. In Proceedings of the 14th ACM Conference on Web Search and Data Mining (WSDM 2022), Phoenix, AZ, USA, Feb. 2022.
Chao Huang, Jiashu Zhao, Dawei Yin. Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks. In Proceedings of 37th IEEE International Conference on Data Engineering (ICDE 2021), Chania, Greece, Apr. 2021.
Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Dawei Yin and Brian Davison. MGNETS: Multi-Graph Neural Networks for Table Search. In Proceedings of the 29th ACM Conference on Information and Knowledge Management (CIKM 2021), Online, Oct. 2021.
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. In Proceedings of the 27th annual ACM SIGKDD International Conference on Knowl- edge Discovery and Data Mining (KDD 2021), Singapore 2021.
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. In Proceedings of the 27th annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021), Singapore 2021.
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin and Yi Chang. Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. In Proceedings of the 44th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), Online, July, 2021.
Gang Wang, Ziyi Guo, Xiang Li, Dawei Yin, and Shuai Ma. SceneRec: Scene-Based Graph Neural Networks for Recommender Systems. In Proceedings of the 24th International Conference on Extending Database Technology (EDBT), Nicosia, Cyprus, 2021.
Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin and Jiliang Tang. User Simulation via Supervised Generative Adversarial Network. In Proceedings of the Web Conference (WWW 2021), Slovenia, 2021.
Xinwei Wu, Conference Hechang Chen, Jiashu Zhao, Li He, Dawei Yin and Yi Chang. Unbiased Learning to Rank in Feeds Recommendation. In Proceedings of the 13th ACM Conference on Web Search and Data Mining (WSDM 2021), Jerusalem, Israel, Feb. 2021.
Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, and Dawei Yin. Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks, In Proceedings of the 20th IEEE International Conference on Data Mining (ICDM 2020), Sorrento, Italy, Nov. 2020.
Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu and Dawei Yin. Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems. In Proceedings of the 29th ACM Conference on Information and Knowledge Management (CIKM 2020),Galway, Ireland, Oct. 2020.
Wenqi Fan, Yao Ma , Qing Li, Yuan He, Eric Zhao, Jiliang Tang, and Dawei Yin. A Graph Neural Network Framework for Social Recommendations. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
Xiangyu Zhao, Long Xia, Lixin Zou, Dawei Yin, Hui Liu, Jiliang Tang. Whole-Chain Recommendations. In Proceedings of the 29th ACM Conference on Information and Knowledge Management (CIKM 2020),Galway, Ireland, Oct. 2020.
Xiang Li, Ben Kao, Caihua Shan, Dawei Yin and Martin Ester. CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. In Proceedings of the 26th annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020), San Diego, California USA 2020.
Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng and Ji-Rong Wen. Reinforcement Learning to Rank with Pairwise Policy Gradient. In Proceedings of the 43rd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi’an, China, July, 2020.
Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin and Dawei Yin. Time Matters: Sequential Recommendation with Complex Temporal Information. In Proceedings of the 43rd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi’an, China, July, 2020.
Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang and Dawei Yin. Learning Dynamic Node Representations with Graph Neural Networks. In Proceedings of the 43rd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi’an, China, July, 2020.
Lixin Zou, Long Xia, Yulong Gu, Weidong Liu, Dawei Yin, Jimmy Huang and Xiangyu Zhao. Neural Interactive Collaborative Filtering. In Proceedings of the 43rd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi’an, China, July, 2020.
Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding and Dawei Yin. User-Inspired Posterior Network for Recommendation Reason Generation. In Proceedings of the 43rd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi’an, China, July, 2020.
Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin. STAR-BTM: Enhance the Short-text Topic Attention Relevance with Biterm Topic Model for Multi-turn Dialogue Generation. In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan.
Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin. Exemplar Guided Neural Dialogue Generation. In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan.
Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao and Dawei Yin. Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Augmentation and Weighting. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Seattle, USA, 2020.
Wenwen Ye, Zheng Qin, Zhuoye Ding, and Dawei Yin. Game Recommendation based on Dynamic Graph Convolutional Network. In Proceedings of the 24th International Conference on Database Systems for Advanced Applications (DASFAA 2020), Jeju, South Korea, May 2020.
Yuanxing Liu, Zhaochun Ren, Wei-Nan Zhang, Wanxiang Che, Ting Liu and Dawei Yin. Keywords Generation Improves E-Commerce Session-based Recommendation. In Proceedings of the Web Conference (WWW 2020), Taipei, 2020.
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. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA.
Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin. Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA.
Lixin Zou, Long Xia, Zhuo Zhang, Pan Du, Ting Bai, Weidong Liu, Jian-Yun Nie and Dawei Yin. Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. In Proceedings of the 13th ACM Conference on Web Search and Data Mining (WSDM 2020), Houston, Texas, USA, Feb. 2020.
Yulong Gu, Zhuoye Ding, Shuaiqiang Wang and Dawei Yin. Hierarchical User Profiling for E-commerce Recommender Systems. In Proceedings of the 13th ACM Conference on Web Search and Data Mining (WSDM 2020), Houston, Texas, USA, Feb. 2020.
Junjie Li, Xuepeng Wang, Dawei Yin and Chengqing Zong. Attribute-aware Sequence Network for Review Summarization. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, China, Nov. 2019.
Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao and Dawei Yin. Adaptive Parameterization for Neural Dialogue Generation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, China, Nov. 2019.
Xiangyu Zhao, Long Xia, Jiliang Tang and Dawei Yin, Deep Reinforcement Learning for Search, Recommendation, and Online Advertising: A Survey. In ACM SIGWEB Newsletter (SIGWEB), 2019, Issue Spring: Article No.4.
Jiashu Zhao, Hongshen Chen and Dawei Yin. A Dynamic Product-aware Learning Model for E-commerce Query Intent Understandinge. In Proceedings of the 28th ACM Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, Oct. 2019.
Hongshen Chen, Jiashu Zhao and Dawei Yin. Fine-Grained Product Categorization in E-commerce. In Proceedings of the 28th ACM Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, Oct. 2019.
Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li. Deep Social Collaborative Filtering. In Proceedings of the 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, Denmark, Sep. 2019.
Xiangyu Zhao, Liang Zhang, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang. Deep Reinforcement Learning for List-wise Recommendations. In Proceedings of the 1st Workshop on Deep Reinforcement Learning for Knowledge Discovery(DRL4KDD’2019) at KDD 2019, Anchorage, AK, USA, August 5, 2019.
Zhiwei Wang, Xiaorui Liu, Jiliang Tang and Dawei Yin. Weight Loss Prediction in Social-Temporal Context. In Proceedings of the Seventh IEEE International Conference on Healthcare Informatics (ICHI 2019). [Best Paper Honorable Mention]
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. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China.
Lixin Zou, Long Xia, Zhuoye Ding, Song Jiaxing, Weidong Liu and Dawei Yin. Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. In Proceedings of the 25th annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, USA, Aug. 2019.
Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao and Dawei Yin. Off-policy Learning for Multiple Loggers. In Proceedings of the 25th annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, USA, Aug. 2019.
Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin and Nitesh Chawla. Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. In Proceedings of the 25th annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, USA, Aug. 2019.
Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh Chawla and Dawei Yin. MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. In Proceedings of the 28th International World Wide Web Conference (WWW 2019), San Fracisco, CA, USA, 2019.
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Zhao, Jiliang Tang and Dawei Yin. Graph Neural Networks for Social Recommendation. In Proceedings of the 28th International World Wide Web Conference (WWW 2019), San Fracisco, CA, USA, 2019.
Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, and Weidong Liu. Reinforcement Learning to Diversify Top-N Recommendation. In Proceedings of the 24th International Conference on Database Systems for Advanced Applications (DASFAA 2019), Chiang Mai, Thailand, April 2019.
Yao Ma, Suhang Wang, Charu Aggarwal, Dawei Yin, and Jiliang Tang. Multi-dimensional Graph Convolutional Networks. In Proceedings of the Nineteenth SIAM Interna- tional Conference on Data Mining (SDM 19), Calgary, Alberta, Canada, 2019.
Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin. Spectral Clustering in Heterogeneous Information Networks. In the 33th AAAI Conference on Artificial Intelligence (AAAI 2019), Hawaii, USA, 2019.
Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin and Rui Yan. Product-Aware Answer Generation in E-Commerce Question-Answering. In In Proceedings of the 12th ACM Conference on Web Search and Data Mining (WSDM 2019), Melbourne, Australia, Feb. 2019.
Xisen Jin, Wenqiang Lei, Hongshen Chen, Shangsong Liang, Zhaochun Ren, Yihong Eric Zhao and Dawei Yin. Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation. In Proceedings of the 27th ACM Conference on Information and Knowledge Management (CIKM 2018), Lingotto, Turin, Italy, October 2018.
Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, and Jiliang Tang. Deep Reinforcement Learning for Page-wise Recommendations. In Proceedings of the 12th ACM Conference on Recommender Systems (RecSys 2018), Vancouver, Canada, Oct. 2018.
Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang and Dawei Yin. Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. In Proceedings of the 24th annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2018), London, United Kingdom, Aug., 2018.
Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He and Dawei Yin. Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia, 2018.
Liu Shuman, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu and Dawei Yin. Knowledge Diffusion for Neural Dialogue Generation. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia, 2018.
Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, Dawei Yin. Learning Tag Dependencies for Sequence Tagging. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, 2018.
Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, and Qiaozhu Mei. Optimizing Whole-Page Presentation for Web Search. In ACM Transactions on the Web (TWEB), 2018
M. Yamada, J.Tang, J. Lugo-Martinez, E. Hodzic, R. Shrestha, A. Saha, H. Ouyang, D. Yin, H. Mamitsuka, C. Sahinalp, P. Radivojac, F. Menczer, Y. Chang. Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. In IEEE Transactions on Knowledge and Data Engineering(TKDE), 2018.
Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao and Dawei Yin. Hierarchical Variational Memory Network for Dialogue Generation. In Proceedings of the 27th International World Wide Web Conference (WWW 2018), Lyon, France, 2018.
Hongshen Chen,Xiaorui Liu, Dawei Yin and Jiliang Tang. A Survey on Dialogue Systems: Recent Advances and New Frontiers. SIGKDD Explorations, 2018
Meizi Zhou, Zhuoye Ding, Jiliang Tang, Dawei Yin. Micro Behaviors: A New Perspective in E-commerce Recommender Systems, In Proceedings of the 11th ACM Conference on Web Search and Data Mining (WSDM 2018), Los Angeles, California, USA, 2018.
Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin. Multidimensional network embedding with hierarchical structures, In Proceedings of the 11th ACM Conference on Web Search and Data Mining (WSDM 2018), Los Angeles, California, USA, 2018.
Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin. A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce, In Proceedings of the 11th ACM Conference on Web Search and Data Mining (WSDM 2018), Los Angeles, California, USA, 2018. [Best Student Paper Award]
Zhiwei Wang, Tyler Derr, Dawei Yin and Jiliang Tang. Understanding and Predicting Weight Loss with Mobile Social Networking Data. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM2017), 2017
Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, and Yi Chang, Large-scale Location Prediction for Web Pages. In IEEE Trans on Knowledge and Data Engineering (TKDE), 2017.
Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark Hasegawa- Johnson, Thomas S. Huang. Streaming Recommender Systems, In Proceedings of the 26th International World Wide Web Conference (WWW 2017), Perth, Australia, Apr. 2017.
Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin and Yi Chang. Learning to rewrite queries, In Proceedings of 25th ACM Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, IN, USA, Oct. 2016.
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. In Proceedings of the 22nd annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2016), San Francisco, CA, USA, Aug. 2016. [Best Paper Award]
Shiyu Chang, Yang Zhang , Jiliang Tang, Dawei Yin, Yi Chang. Mark Hasegawa-Johnson, Thomas S. Huang. Positive-Unlabeled Learning in Streaming Networks. In Proceedings of the 22nd annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2016), San Francisco, CA, USA, Aug. 2016.
Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, and Yan Liu. Timeline Summarization with Life Cycle Models. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York, USA, July, 2016.
Neil O’Hare, Paloma De Juan, Rossano Schifanella, Yunlong He, Dawei Yin, Yi Chang. Leveraging User Interaction Signals for Web Image Search. In Proceedings of the 39th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), Pisa, Tuscany, Italy, July, 2016.
Shan Jiang, Yuening Hu, Changsung Kang, Tim Daly, Dawei Yin, Yi Chang. Learning Query and Document Relevance from Web-scale Click Graph. In Proceedings of the 39th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), Pisa, Tuscany, Italy, July, 2016.
Jiliang Tang , SuhangWang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang and Huan Liu. Recommendation with Social Dimensions, In the 30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona USA, Feb 2016.
Yue Wang, Dawei Yin, Jie Luo, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei, Beyond Ranking: Optimizing Whole-Page Presentation In Proceedings of the 9th ACM Conference on Web Search and Data Mining (WSDM 2016), San Francisco, US, Feb 2016. [Best Paper Award]
Changsung Kang, Dawei Yin, Ruiqiang Zhang, Nicolas Torzec, Jianzhang He, Yi Chang, Learning to rank related entities in web search. In Neurocomputing.
Zaihan Yang, Liangjie Hong, Dawei Yin, and Brian D. Davison, Ranking Authors with Learning-to-Rank Topic Modeling. In International Journal of Innovative Computing, Information and Control.
Pengyuan Wang, Dawei Yin, Marsha Meytlis, Jian Yang, Yi Chang, Rethink Targeting: Detect ‘Smart Cheating’ in Online Advertising through Causal Inference, in Proceedings of the 24th International World Wide Web Conference (WWW 2015), Florence, Italy, May 2015.
Pengyuan Wang, Wei Sun and Dawei Yin, What Size Should A Mobile Ad Be?, In Proceedings of the 1st Workshop on Offline and Online Evaluation of Web-based Services at WWW 2015. Florence, Italy, May 2015.
Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang, Consistent Collective Matrix Completion under Joint Low Rank Structure, In Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS2015), San Diego, CA, USA, April 9-12 2015. Preliminary version
Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang and Yi Chang, Causal Inference via Sparse Additive Models with Application to Online Advertising, In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015), Austin, Texas, USA, Jan 2015.
Pengyuan Wang, Wei Sun, Dawei Yin, Jian Yang and Yi Chang, Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis. In Proceedings of the 8th ACM Conference on Web Search and Data Mining (WSDM 2015), Shanghai, China, Feb 2015.
Zaihan Yang, Dawei Yin, Brian D. Davison, Recommendations in Academia: a Joint Multi-Relational Model. In Proceedings of 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2014), Beijing, China, 2014.
Dawei Yin*, Shike Mei*, Bin Cao, Jian-Tao Sun, Brian D. Davison, Exploiting Contextual Factors for Click Modeling in Sponsored Search. In Proceedings of the 7th ACM Conference on Web Search and Data Mining (WSDM 2014), New York, USA, Feb 2014. [* Equal contribution]
Dawei Yin, Bin Cao, Jian-Tao Sun, Brian D. Davison, Estimating Ad Group Performance in Sponsored Search. In Proceedings of the 7th ACM Conference on Web Search and Data Mining (WSDM 2014), New York, USA, Feb 2014.
Dawei Yin, Prediction and Recommendation in Online Media. Doctoral Dissertation, Department of Computer Science and Engineering, Lehigh University, August 2013.
Guillaume Bouchard, Shengbo Guo and Dawei Yin, Convex Collective Matrix Factorization. To appear in Proceedings of the 16th International Conference on Artificial Intelligence and Statistics (AISTATS 2013), Scottsdale, AZ, USA.
Dawei Yin, S. Guo, B. Chidlovskii, B. Davison, C. Archambeau and G. Bouchard, Connecting Comments and Tags: Improved Modeling of Social Tagging Systems. In Proceedings of 6th ACM Conference on Web Search and Data Mining (WSDM 2013), Rome, Italy, Feb 2013. [Supplement Materials]
Dawei Yin, Liangjie Hong and Brian D. Davison, Structural Link Analysis and Prediction in MicroBlogs. In Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM 2011), Glasgow, Scotland, UK, October 2011.
Liangjie Hong, Dawei Yin, Jian Guo and Brian D. Davison. Tracking Trends: Incorporate Volume into Temporal Topic Models. In Proceedings of the 17th Annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011), San Diego, CA, 2011.
Dawei Yin, Liangjie Hong, Zhenzhen Xue and Brian D. Davison, Temporal Dynamics of User Interests in Tagging Systems. In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011), San Francisco, USA, 2011.
Zhenzhen Xue, Dawei Yin and Brian D. Davison. Normalizing Microtext. In Proceedings of the AAAI-11 Workshop on Analyzing Microtext, San Francisco, USA, 2011.
Dawei Yin, Liangjie Hong, Xiong Xiong and Brian D. Davison, Link Formation Analysis in MicroBlogs. In Proceedings of the 34th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), Beijing, China, July, 2011.
Zaihan Yang, Dawei Yin and Brian Davison, Award Prediction with Temporal Citation Network Analysis. In Proceedings of the 34th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), Beijing, China, July, 2011.
Dawei Yin, Liangjie Hong and Brian D. Davison. Exploiting Session-like Behaviors in Tag Prediction. In Proceedings of the 20th International World Wide Web Conference (WWW 2011), Hyderabad, India, March 2011.
Xiaoguang Qi, Dawei Yin, Zhenzhen Xue and Brian D. Davison. (2010) Choosing Your Own Adventure: Automatic Taxonomy Generation to Permit Many Paths. In Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM2010), Toronto, Canada, October 2010.
Xiaoguang Qi, Dawei Yin, Zhenzhen Xue and Brian D. Davison, Enhancing Taxonomies by Providing Many Paths. Technical Report LU-CSE-10-005, Dept. of Computer Science and Engineering, Lehigh , 2010
Dawei Yin, Zhenzhen Xue, Liangjie Hong and Brian D. Davison. A Probabilistic Model for Personalized Tag Prediction. In Proceedings of the 16th annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2010), Washington, DC, July 2010.
Dawei Yin, Chang An, Henry S. Baird. Imbalance and Concentration in k-NN Classification. In Proceedings of IAPR 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, August 2010.
Chang An, Dawei Yin, Henry S. Baird. Document Segmentation using Pixel-Accurate Ground Truth. In Proceedings of IAPR 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, August 2010.
Dawei Yin, Chang An and Henry S. Baird. Safely Selecting Subsets of Training Data. In Proceedings of IAPR 9th International Workshop on Document Analysis Systems (DAS 2010), Boston, MA, June 2010.
Dawei Yin, Henry S. Baird and Chang An. (2010) Time and Space Optimization of Document Content Classiers. In Proceedings of IS&T/SPIE Document Recognition and Retrieval Conf. (DR&R XVII), San Jose, CA, January 17-21, 2010.
Dawei Yin, Zhenzhen Xue, Xiaoguang Qi and Brian D. Davison. (2009) Diversifying Search Results with Popular Subtopics. In Proceedings of the 18th Text REtrieval Conference (TREC 2009), Gaithersburg, MD: NIST, November 2009.
Dawei Yin, Zhenzhen Xue, Liangjie Hong, B. D. Davison, A. Kontostathis, and L.Edwards. (2009) Detection of Harassment on Web 2.0. In Proceedings of the Content Analysis in the WEB 2.0 (CAW2.0) Workshop at WWW2009, Madrid, Spain,April 2009.
Xin Han, He Guo, Dawei Yin and Yong Zhang. (2009) A note on on-line broadcast scheduling with deadlines. Information Processing Letters, Volume 109 Issue 3, January 2009