Email: hbdeng [at] acm.org
*** We are hiring talents with background/experience in machine learning, information retrieval, data mining, and natural language processing, etc. Academic or industry experience in the field of search and recommendation is preferred.
Now I am with Alibaba Group, leading a R&D team to develop and apply advanced algorithms on search and recommendation for e-commerce business. Before that, I was a Senior Software Engineer at Google working on search quality and intelligence for Google Apps, and a Senior Research Scientist at Yahoo! Labs/Research, leading and managing the query understanding science team for Yahoo search. I also worked at UIUC as a Research Scientist with Prof. Jiawei Han, and did a lot of research on text mining and heterogeneous network. Prior to that, I obtained my Ph.D. from Department of Computer Science and Engineering at The Chinese University of Hong Kong. My dissertation was on information retrieval, data mining, and machine learning techniques for query log analysis and expertise retrieval, advised by Prof. Michael Lyu and Prof. Irwin King.
Query Understanding for Search Engines (The Information Retrieval Series, 46)
By Yi Chang (Editor), Hongbo Deng (Editor)
Publisher : Springer (January 12, 2021)
Best Paper Award (Applied Data Science Track) on KDD 2016
Yahoo LEAP (Labs Excellence Award Program) Award by Yahoo Labs (2013)
Best of SDM 2013 (SIAM International Conference on Data Mining)
Vannevar Bush Best Paper Award (2012 ACM/IEEE Joint Conference on Digital Libraries)
[SIGIR 2021] Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu and Haihong Tang, Path-based Deep Network for Candidate Item Matching in Recommenders
[WWW 2021] Yatao Yang, Biyu Ma, Jun Tan, Hongbo Deng, Haikuan Huang and Zibin Zheng, FINN: Feedback Interactive Neural Network for Intent Recommendation.
[WWW 2021] Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng and Xiaojun Wan, Learning a Product Relevance Model from Click-Through Data in e-Commerce.
[WSDM 2021] Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao and Hongbo Deng, Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks.
[WSDM 2021] Aobo Yang, Nan Wang, Hongbo Deng and Hongning Wang, Explanation as a Defense of Recommendation.
[WSDM 2021] Junhao Zhang, Weidi Xu, Jianhui Ji, Xi Chen, Hongbo Deng and Keping Yang, Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce.
[KDD 2020] Di Yin, Jiwei Tan, Zhe Zhang, Hongbo Deng, Shujian Huang and Jiajun Chen, Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach.
[KDD 2020] Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng and Zhenzhong Chen. A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce.
[SIGIR 2020] Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun and Hongbo Deng. ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance.
[SIGIR 2020] Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng and Aixin Sun. CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network.
[IJCAI 2020] Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, and Jingren Zhou. AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.
[ICDE 2020] Tong Zhang, Baoqliang Cui, Zhen Cui, Haikuan Huang, Jian Yang, Hongbo Deng, Bo Zheng. Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guide in E-Commerce Search.
[CIKM 2019] Yatao Yang, Jun Tan, Hongbo Deng, Zibin Zheng, Yutong Lu, Xiangke Liao. An Active and Deep Semantic Matching Framework for Query Rewrite in E-Commercial Search Engine. CIKM 2019: 309-318
[SIGIR 2019] Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork. Multi-view Embedding-based Synonyms for Email Search. SIGIR 2019: 575-584
