Two-stage Multi-class AdaBoost for Facial Expression Recognition. - Hongbo Deng; Jianke Zhu; Michael R. Lyu; Irwin King (IJCNN, 2007)

Formal Models for Expert Finding on DBLP Bibliography Data. - Hongbo Deng; Irwin King; Michael R. Lyu (ICDM, 2008)

Enhancing expertise retrieval using community-aware strategies. - Hongbo Deng; Irwin King; Michael R. Lyu (CIKM, 2009)

A social recommendation framework based on multi-scale continuous conditional random fields. - Xin Xin 002; Irwin King; Hongbo Deng; Michael R. Lyu (CIKM, 2009)

A generalized Co-HITS algorithm and its application to bipartite graphs. - Hongbo Deng; Michael R. Lyu; Irwin King (KDD, 2009)

Entropy-biased models for query representation on the click graph. - Hongbo Deng; Irwin King; Michael R. Lyu (SIGIR, 2009)

Effective latent space graph-based re-ranking model with global consistency. - Hongbo Deng; Michael R. Lyu; Irwin King (WSDM, 2009)

Web mining techniques for query log analysis and expertise retrieval. - Hongbo Deng (2009)

SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks. - Jianbin Huang; Heli Sun; Jiawei Han 001; Hongbo Deng; Yizhou Sun; Yaguang Liu (CIKM, 2010)

gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration. - Heli Sun; Jianbin Huang; Jiawei Han 001; Hongbo Deng; Peixiang Zhao 001; Boqin Feng (ICDM, 2010)

Probabilistic topic models with biased propagation on heterogeneous information networks. - Hongbo Deng; Jiawei Han 001; Bo Zhao 001; Yintao Yu; Cindy Xide Lin (KDD, 2011)

Collective topic modeling for heterogeneous networks. - Hongbo Deng; Bo Zhao 001; Jiawei Han 001 (SIGIR, 2011)

CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description. - Taylor Cassidy; Zheng Chen 015; Javier Artiles; Heng Ji 001; Hongbo Deng; Lev-Arie Ratinov; Jiawei Han 001; Dan Roth 001; Jing Zheng 001 (TAC, 2011)

Probabilistic Models for Text Mining. - Yizhou Sun; Hongbo Deng; Jiawei Han 001 (Mining Text Data, 2012)

Analysis and Refinement of Cross-Lingual Entity Linking. - Taylor Cassidy; Heng Ji 001; Hongbo Deng; Jing Zheng 001; Jiawei Han 001 (CLEF, 2012)

Tweet Ranking Based on Heterogeneous Networks. - Hongzhao Huang; Arkaitz Zubiaga; Heng Ji 001; Hongbo Deng; Dong Wang 002; Hieu Khac Le; Tarek F. Abdelzaher; Jiawei Han 001; Alice Leung; John P. Hancock; Clare R. Voss (COLING, 2012)

Modeling and exploiting heterogeneous bibliographic networks for expertise ranking. - Hongbo Deng; Jiawei Han 001; Michael R. Lyu; Irwin King (JCDL, 2012)

Towards social user profiling: unified and discriminative influence model for inferring home locations. - Rui Li 049; Shengjie Wang; Hongbo Deng; Rui Wang; Kevin Chen-Chuan Chang (KDD, 2012)

Uncertainty Reduction for Knowledge Discovery and Information Extraction on the World Wide Web. - Heng Ji 001; Hongbo Deng; Jiawei Han 001 (Proc. IEEE, 2012)

Enhanced Models for Expertise Retrieval Using Community-Aware Strategies. - Hongbo Deng; Irwin King; Michael R. Lyu (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Probabilistic Models for Clusterings. - Hongbo Deng; Jiawei Han 001 (Data Clustering: Algorithms and Applications, 2013)

ESC: An efficient synchronization-based clustering algorithm. - Jianbin Huang; Heli Sun; Jianmei Kang; Junjie Qi; Hongbo Deng; Qinbao Song (Knowl. Based Syst., 2013)

Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network. - Jianbin Huang; Heli Sun; Qinbao Song; Hongbo Deng; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2013)

Probabilistic Models for Classification. - Hongbo Deng; Yizhou Sun; Yi Chang 001; Jiawei Han 001 (Data Classification: Algorithms and Applications, 2014)

Identifying and labeling search tasks via query-based hawkes processes. - Liangda Li; Hongbo Deng; Anlei Dong; Yi Chang 001; Hongyuan Zha (KDD, 2014)

A two-dimensional click model for query auto-completion. - Yanen Li; Anlei Dong; Hongning Wang; Hongbo Deng; Yi Chang 001; ChengXiang Zhai (SIGIR, 2014)

Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks. - Hongbo Deng; Jiawei Han 001; Hao Li 031; Heng Ji 001; Hongning Wang; Yue Lu (Stat. Anal. Data Min., 2014)

Instant Recommendation for Web Services Composition. - Liang Chen 001; Jian Wu 001; Hengyi Jian; Hongbo Deng; Zhaohui Wu 001 (IEEE Trans. Serv. Comput., 2014)

Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes. - Liangda Li; Hongbo Deng; Anlei Dong; Yi Chang 001; Hongyuan Zha; Ricardo Baeza-Yates (SIGIR, 2015)

adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback. - Aston Zhang; Amit Goyal 001; Weize Kong; Hongbo Deng; Anlei Dong; Yi Chang 001; Carl A. Gunter; Jiawei Han 001 (SIGIR, 2015)

Ranking Relevance in Yahoo Search. - 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 001 (KDD, 2016)

Query Understanding for Search on All Devices at WSDM 2016. - Amit Goyal 001; Jianfeng Gao 001; Hongbo Deng; Yi Chang 001 (WSDM, 2016)

Behavior Driven Topic Transition for Search Task Identification. - Liangda Li; Hongbo Deng; Yunlong He; Anlei Dong; Yi Chang 001; Hongyuan Zha (WWW, 2016)

Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach. - Aston Zhang; Amit Goyal 001; Ricardo Baeza-Yates; Yi Chang 001; Jiawei Han 001; Carl A. Gunter; Hongbo Deng (WWW, 2016)

Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes. - Liangda Li; Hongbo Deng; Jianhui Chen; Yi Chang 001 (WSDM, 2017)

Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion. - Liangda Li; Hongbo Deng; Anlei Dong; Yi Chang 001; Ricardo Baeza-Yates; Hongyuan Zha (WWW, 2017)

Learning Online Trends for Interactive Query Auto-Completion. - Yingfei Wang; Hua Ouyang; Hongbo Deng; Yi Chang 001 (IEEE Trans. Knowl. Data Eng., 2017)

An Active and Deep Semantic Matching Framework for Query Rewrite in E-Commercial Search Engine. - Yatao Yang 002; Jun Tan; Hongbo Deng; Zibin Zheng; Yutong Lu; Xiangke Liao (CIKM, 2019)

Building Personalized Simulator for Interactive Search. - Qianlong Liu; Baoliang Cui; Zhongyu Wei; Baolin Peng; Haikuan Huang; Hongbo Deng; Jianye Hao; Xuanjing Huang 001; Kam-Fai Wong (IJCAI, 2019)

Multi-view Embedding-based Synonyms for Email Search. - Cheng Li 012; Mingyang Zhang 001; Michael Bendersky; Hongbo Deng; Donald Metzler; Marc Najork (SIGIR, 2019)

AliISA: Creating an Interactive Search Experience in E-commerce Platforms. - Fei Xiao; Zhen Wang 036; Haikuan Huang; Jun Huang 007; Xi Chen; Hongbo Deng; Minghui Qiu; Xiaoli Gong (SIGIR, 2019)

Gated Group Self-Attention for Answer Selection. - Dong Xu; Jianhui Ji; Haikuan Huang; Hongbo Deng; Wu-Jun Li (CoRR, 2019)

Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. - Xichuan Niu; Bofang Li; Chenliang Li; Rong Xiao 005; Haochuan Sun; Honggang Wang; Hongbo Deng; Zhenzhong Chen (CIKM, 2020)

Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guide in E-Commerce Search. - Tong Zhang 021; Baoliang Cui; Zhen Cui 001; Haikuan Huang; Jian Yang 003; Hongbo Deng; Bo Zheng 007 (ICDE, 2020)

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. - Daoyuan Chen; Yaliang Li; Minghui Qiu; Zhen Wang 036; Bofang Li; Bolin Ding; Hongbo Deng; Jun Huang 007; Wei Lin 016; Jingren Zhou 001 (IJCAI, 2020)

A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce. - Xichuan Niu; Bofang Li; Chenliang Li; Rong Xiao 005; Haochuan Sun; Hongbo Deng; Zhenzhong Chen (KDD, 2020)

Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach. - Di Yin; Jiwei Tan; Zhe Zhang; Hongbo Deng; Shujian Huang; Jiajun Chen 001 (KDD, 2020)

ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. - Zhihong Chen; Rong Xiao 005; Chenliang Li; Gangfeng Ye; Haochuan Sun; Hongbo Deng (SIGIR, 2020)

CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. - Cheng Zhao; Chenliang Li; Rong Xiao 005; Hongbo Deng; Aixin Sun (SIGIR, 2020)

One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. - Xiang-Rong Sheng; Liqin Zhao; Guorui Zhou; Xinyao Ding; Binding Dai; Qiang Luo; Siran Yang; Jingshan Lv; Chi Zhang; Hongbo Deng; Xiaoqiang Zhu (CIKM, 2021)

Path-based Deep Network for Candidate Item Matching in Recommenders. - Houyi Li; Zhihong Chen; Chenliang Li; Rong Xiao 005; Hongbo Deng; Peng Zhang 001; Yongchao Liu; Haihong Tang (SIGIR, 2021)

Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. - Xichuan Niu; Bofang Li; Chenliang Li; Jun Tan; Rong Xiao 005; Hongbo Deng (WSDM, 2021)

Explanation as a Defense of Recommendation. - Aobo Yang; Nan Wang; Hongbo Deng; Hongning Wang (WSDM, 2021)

Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce. - Junhao Zhang; Weidi Xu; Jianhui Ji; Xi Chen; Hongbo Deng; Keping Yang (WSDM, 2021)

FINN: Feedback Interactive Neural Network for Intent Recommendation. - Yatao Yang 002; Biyu Ma; Jun Tan; Hongbo Deng; Haikuan Huang; Zibin Zheng (WWW, 2021)

Learning a Product Relevance Model from Click-Through Data in E-Commerce. - Shaowei Yao; Jiwei Tan; Xi Chen; Keping Yang; Rong Xiao 005; Hongbo Deng; Xiaojun Wan 001 (WWW, 2021)

DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction. - Yule Wang; Qiang Luo; Yue Ding 001; Dong Wang 024; Hongbo Deng (CoRR, 2021)

Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. - Rihan Chen; Bin Liu; Han Zhu 001; Yaoxuan Wang; Qi Li; Buting Ma; Qingbo Hua; Jun Jiang; Yunlong Xu; Hongbo Deng; Bo Zheng 007 (CIKM, 2022)

STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction. - Yucheng Lu; Qiang Ji; Liang Wang 001; Tianshu Wu; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (CIKM, 2022)

Visual Encoding and Debiasing for CTR Prediction. - Guipeng Xv; Si Chen 010; Chen Lin 001; Wanxian Guan; Xingyuan Bu; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (CIKM, 2022)

Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce. - Zhiyuan Zeng; Yuzhi Huang; Tianshu Wu; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (CIKM, 2022)

KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. - Yujing Zhang; Zhangming Chan; Shuhao Xu; Weijie Bian; Shuguang Han; Hongbo Deng; Bo Zheng 007 (CIKM, 2022)

Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models. - Zhao-Yu Zhang; Xiang-Rong Sheng; Yujing Zhang; Biye Jiang; Shuguang Han; Hongbo Deng; Bo Zheng 007 (CIKM, 2022)

EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search. - Chi Chen; Hui Chen; Kangzhi Zhao; Junsheng Zhou; Li He; Hongbo Deng; Jian Xu 015; Bo Zheng 007; Yong Zhang 002; Chunxiao Xing (KDD, 2022)

Pretraining Representations of Multi-modal Multi-query E-commerce Search. - Xinyi Liu; Wanxian Guan; Lianyun Li; Hui Li 057; Chen Lin 001; Xubin Li; Si Chen 010; Jian Xu 015; Hongbo Deng; Bo Zheng 007 (KDD, 2022)

Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. - Kailun Wu; Weijie Bian; Zhangming Chan; Lejian Ren; Shiming Xiang; Shuguang Han; Hongbo Deng; Bo Zheng 007 (KDD, 2022)

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models. - Wenbo Su; Yuanxing Zhang; Yufeng Cai; Kaixu Ren; Pengjie Wang 002; Huimin Yi; Yue Song; Jing Chen; Hongbo Deng; Jian Xu 015; Lin Qu; Bo Zheng 007 (NeurIPS, 2022)

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. - Bencheng Yan; Pengjie Wang 002; Kai Zhang 001; Feng Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (NeurIPS, 2022)

Joint Optimization of Ad Ranking and Creative Selection. - Kaiyi Lin; Xiang Zhang 001; Feng Li; Pengjie Wang 002; Qingqing Long; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (SIGIR, 2022)

CAN: Feature Co-Action Network for Click-Through Rate Prediction. - Weijie Bian; Kailun Wu; Lejian Ren; Qi Pi; Yujing Zhang; Can Xiao; Xiang-Rong Sheng; Yong-Nan Zhu; Zhangming Chan; Na Mou; Xinchen Luo; Shiming Xiang; et al. (WSDM, 2022)

KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. - Yiqing Xie; Zhen Wang 036; Carl Yang 001; Yaliang Li; Bolin Ding; Hongbo Deng; Jiawei Han 001 (WWW, 2022)

Comparative Explanations of Recommendations. - Aobo Yang; Nan Wang; Renqin Cai; Hongbo Deng; Hongning Wang (WWW, 2022)

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model. - Wenbo Su; Yuanxing Zhang; Yufeng Cai; Kaixu Ren; Pengjie Wang 002; Huimin Yi; Yue Song; Jing Chen; Hongbo Deng; Jian Xu 015; Lin Qu; Bo Zheng 007 (CoRR, 2022)

Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models. - Zhao-Yu Zhang; Xiang-Rong Sheng; Yujing Zhang; Biye Jiang; Shuguang Han; Hongbo Deng; Bo Zheng 007 (CoRR, 2022)

Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization. - Jiashu Zhao; Jimmy Xiangji Huang; Hongbo Deng; Yi Chang 001; Long Xia (ACM Trans. Inf. Syst., 2022)

BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network. - Shuai Fan 007; Jinping Gou; Yang Li 213; Jiaxing Bai; Chen Lin 001; Wanxian Guan; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (CIKM, 2023)

Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. - Xiang-Rong Sheng; Jingyue Gao; Yueyao Cheng; Siran Yang; Shuguang Han; Hongbo Deng; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (KDD, 2023)

E-commerce Search via Content Collaborative Graph Neural Network. - Guipeng Xv; Chen Lin 001; Wanxian Guan; Jinping Gou; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (KDD, 2023)

Multi-Scenario Ranking with Adaptive Feature Learning. - Yu Tian; Bofang Li; Si Chen 010; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007; Qian Wang 002; Chenliang Li (SIGIR, 2023)

Unified Visual Preference Learning for User Intent Understanding. - Yihua Wen; Si Chen 010; Yu Tian; Wanxian Guan; Pengjie Wang 002; Hongbo Deng; Jian Xu 015; Bo Zheng 007; Zihao Li 005; Lixin Zou; Chenliang Li (WSDM, 2024)

Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning. - Shijie Zhu; Hui Zhao; Tianshu Wu; Pengjie Wang 002; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (WSDM, 2025)