Hongbo Deng, Yizhou Sun, Yi Chang, and Jiawei Han. Probabilistic Models for Classification. Invited book chapter for Data Classification: Algorithms and Applications, Charu C. Aggarwal (eds.), CRC Press, 2014.

Hongbo Deng, Jiawei Han. Probabilistic Models for Clustering. Invited book chapter for Data Clustering: Algorithms and Applications, Charu C. Aggarwal, Chandan K. Reddy (eds.), pp. 61-86, CRC Press, 2013.

Yizhou Sun, Hongbo Deng and Jiawei Han. Probabilistic Models for Text Mining. Invited book chapter for Mining Text Data, Charu C. Aggarwal and ChengXiang Zhai (eds.), pp. 257-294, Springer, 2012.

Yingfei Wang, Hua Ouyang, Hongbo Deng, Yi Chang, Learning Online Trends for Interactive Query Auto-Completion, IEEE Transactions on Knowledge and Data Engineering 29 (11), 2442-2454, 2017.

Liang Chen, Jian Wu, Hengyi Jian, Hongbo Deng, Zhaohui Wu. Instant Recommendation for Web Services Composition. IEEE Transactions on Services Computing 7(4): 586-598, 2014.

Hongbo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang, Yue Lu. Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks. Statistical Analysis and Data Mining 7(4): 308-321, 2014.

Jianbin Huang, Heli Sun, Jianmei Kang, Junjie Qi, Hongbo Deng, Qinbao Song. ESC: An Efficient Synchronization-based Clustering Algorithm. Knowledge-Based Systems 40: 111-122, 2013.

Jianbin Huang, Heli Sun, Qinbao Song, Hongbo Deng, Jiawei Han. Revealing Density-based Clustering Structure from the Core-Connected Tree of a Network. IEEE Transactions on Knowledge and Data Engineering (TKDE) 25(8): 1876-1889, 2013.

Heng Ji, Hongbo Deng, Jiawei Han. Uncertainty Reduction for Knowledge Discovery and Information Extraction on the World Wide Web. Proceedings of the IEEE 100(9): 2658-2674, 2012. Invited Paper for Special Issue on Web-Scale Multimedia Processing and Applications.

Hongbo Deng, Irwin King, Michael R. Lyu. Enhanced Models for Expertise Retrieval Using Community-Aware Strategies. IEEE Transactions on Systems, Man, and Cybernetics, Part B (TSMC-B) 42(1): 93-106, 2012.

Hong-Bo Deng, Lian-Wen Jin, Li-Xin Zhen, Jian-Cheng Huang. A New Facial Expression Recognition Method Based on Local Gabor Filter Bank and PCA plus LDA. International Journal of Information Technology (IJIT) 11(11): 86-96, 2005.

[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.

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

Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong. Building Personalized Simulator for Interactive Search. IJCAI 2019: 5109-5115

Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork. Multi-view Embedding-based Synonyms for Email Search. SIGIR 2019: 575-584

Fei Xiao, Zhen Wang, Haikuan Huang, Jun Huang, Xi Chen, Hongbo Deng, Minghui Qiu, Xiaoli Gong. AliISA: Creating an Interactive Search Experience in E-commerce Platforms. SIGIR 2019: 1305-1308

Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha and Ricardo Baeza-Yates. Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion. WWW 2017: 539-548

Liangda Li, Hongbo Deng, Jianhui Chen, Yi Chang. Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes. WSDM 2017: 131-139

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 [Best Paper Award (Applied Data Science Track)]

Amit Goyal, Jianfeng Gao, Hongbo Deng, Yi Chang. Query Understanding for Search on All Devices at WSDM 2016. WSDM 2016: 691-692

Liangda Li, Hongbo Deng, Yunlong He, Anlei Dong, Yi Chang and Hongyuan Zha. Behavior Driven Topic Transition for Search Task Identification. WWW 2016: 555-565

Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter and Hongbo Deng. Towards Mobile Query Auto-Completion: A Mobile Application-Aware Approach. WWW 2016: 579-590

Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha, Ricardo Baeza-Yates. Analyzing Users Sequential Behavior in Query Auto-Completion via Markov Processes. SIGIR 2015: 123-132

Aston Zhang, Amit Goyal, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang, Carl A. Gunter, Jiawei Han. aQAC: Adapting Query Auto-Completion to Implicit Negative Feedback. SIGIR 2015: 143-152

Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha. Identifying and Labeling Search Tasks via Query-based Hawkes Processes. KDD 2014: 731-740

Yanen Li, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang, ChengXiang Zhai. A Two-Dimensional Click Model for Query Auto-Completion. SIGIR 2014: 455-464

Hongbo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang, and Yue Lu. Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks. Proc. of the 13th SIAM International Conference on Data Mining (SDM 2013), Austin, TX, May 2-4, 2013. [Best of SDM 2013]

Hongzhao Huang, Arkaitz Zubiaga, Heng Ji, Hongbo Deng, Dong Wang, Hieu Khac Le, Tarek Abdelzaher, Jiawei Han, Alice Leung, John Hancock and Clare Voss. Tweet Ranking based on Heterogeneous Networks. Proc. of the 24th International Conference on Computational Linguistics (COLING 2012), Mumbai, India, Dec. 8-15, 2012.

Taylor Cassidy, Heng Ji, Hongbo Deng, Jing Zheng and Jiawei Han. Analysis and Refinement of Cross-lingual Entity Linking. Proc. of the 3rd International Conference of CLEF2012: 1-12, Rome, Italy, Sep. 17-20, 2012.

Rui Li, Shengjie Wang, Hongbo Deng, Rui Wang, Kevin Chang. Towards Social User Profiling: Unified and Discriminative Influence Model for Inferring Home Locations. Proc. of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2012): 1023-1031, Beijing, China, Aug. 12-16, 2012.

Hongbo Deng, Jiawei Han, Michael R. Lyu, Irwin King. Modeling and Exploiting Heterogeneous Bibliographic Networks for Expertise Ranking. Proc. of the 12th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2012): 71-80, Washington, D.C., June 10-14, 2012. [Vannevar Bush Best Paper Award]

Hao Li, Heng Ji, Hongbo Deng, Jiawei Han. Exploiting Background Information Networks to Enhance Bilingual Event Extraction Through Topic Modeling. Proc. of the 1st International Conference on Advances in Information Mining and Management (IMMM2011): 23-30, Barcelona, Spain, Oct. 23-29 2011.

Hongbo Deng, Jiawei Han, Bo Zhao, Yintao Yu, Cindy Xide Lin. Probabilistic Topic Models with Biased Propagation on Heterogeneous Information Networks. Proc. of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011): 1271-1279, San Diego, CA, Aug. 21-24, 2011. [Code and dataset can be downloaded here.]

Hongbo Deng, Bo Zhao, Jiawei Han, Collective Topic Modeling for Heterogeneous Networks. Proc. of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011): 1109-1110, Beijing, China, July 24-28, 2011.

Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, Peixiang Zhao, and Boqin Feng. gSkeletonClu: Density-based Network Clustering via Structure-Connected Tree Division or Agglomeration. Proc. of 2010 IEEE International Conference on Data Mining (ICDM 2010): 481-490, Sydney, Australia, Dec. 13-17, 2010.

Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, Yizhou Sun, and Yaguang Liu. SHRINK: A Structural Clustering Algorithm for Detecting Hierarchical Communities in Networks. Proc. of the 19th ACM International Conference on Information and Knowledge Management (CIKM 2010): 219-228, Toronto, Canada, Oct. 26-30, 2010.

Hongbo Deng, Irwin King, Michael R. Lyu. Enhancing Expertise Retrieval Using Community-aware Strategies. Proc. of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009): 1733-1736, Hong Kong, China, Nov. 2-6, 2009.

Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu, A Social Recommendation Framework Based on Multi-scale Continuous Conditional Random Fields. Proc. of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009): 1247-1256, Hong Kong, China, Nov. 2-6, 2009.

Hongbo Deng, Irwin King, Michael R. Lyu. Entropy-biased Models for Query Representation on the Click Graph. Proc. of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2009): 339-346, Boston, MA, July 19-23, 2009.

Hongbo Deng, Michael R. Lyu, Irwin King. A Generalized Co-HITS Algorithm and Its Application to Bipartite Graphs. Proc. of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2009): 239-248, Paris, France, June 28-July 1, 2009.

Hongbo Deng, Michael R. Lyu, Irwin King. Effective Latent Space Graph-based Re-ranking Model with Global Consistency. Proc. of the 2nd ACM International Conference on Web Search and Data Mining (WSDM 2009): 212-221, Barcelona, Spain, Feb. 9-12, 2009.

Hongbo Deng, Irwin King, Michael R. Lyu. Formal Models for Expert Finding on DBLP Bibliography Data. Proc. of the 8th IEEE International Conference on Data Mining (ICDM 2008): 163-172, Pisa, Italy, Dec. 15-19, 2008.

Hongbo Deng, Jianke Zhu, Michael R. Lyu and Irwin King. Two-Stage Multi-Class AdaBoost for Facial Expression Recognition. Proc. of the 20th International Joint Conference on Neural Networks (IJCNN 2007): 3005-3010, Orlando, Florida, Aug. 12-17, 2007.