Hongbo Deng

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 62

Top Venues

Chinese University of Hong Kong, Hong Kong (PHD)

Education History

Chinese University of Hong Kong, Hong Kong

PHD

Publications

Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li
Unified Visual Preference Learning for User Intent Understanding. WSDM (2024)
Guipeng Xv, Chen Lin, Wanxian Guan, Jinping Gou, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng
E-commerce Search via Content Collaborative Graph Neural Network. KDD (2023)
Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. KDD (2023)
Shuai Fan, Jinping Gou, Yang Li, Jiaxing Bai, Chen Lin, Wanxian Guan, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng
BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network. CIKM (2023)
Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li
Multi-Scenario Ranking with Adaptive Feature Learning. SIGIR (2023)
Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li
Multi-Scenario Ranking with Adaptive Feature Learning. CoRR (2023)
Zhiyuan Zeng, Yuzhi Huang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng
Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce. CIKM (2022)
Yujing Zhang, Zhangming Chan, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng, Bo Zheng
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. CIKM (2022)
Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models. CoRR (2022)
Chi Chen, Hui Chen, Kangzhi Zhao, Junsheng Zhou, Li He, Hongbo Deng, Jian Xu, Bo Zheng, Yong Zhang, Chunxiao Xing
EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search. KDD (2022)
Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. CoRR (2022)
Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang
Comparative Explanations of Recommendations. WWW (2022)
Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. KDD (2022)
Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng
Joint Optimization of Ad Ranking and Creative Selection. SIGIR (2022)
Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. NeurIPS (2022)
Xinyi Liu, Wanxian Guan, Lianyun Li, Hui Li, Chen Lin, Xubin Li, Si Chen, Jian Xu, Hongbo Deng, Bo Zheng
Pretraining Representations of Multi-modal Multi-query E-commerce Search. KDD (2022)
Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. CIKM (2022)
Jiashu Zhao, Jimmy Xiangji Huang, Hongbo Deng, Yi Chang, Long Xia
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization. ACM Trans. Inf. Syst. 40 (3) (2022)
Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han
KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW (2022)
Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models. CIKM (2022)
Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan Bu, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng
Visual Encoding and Debiasing for CTR Prediction. CIKM (2022)
Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model. CoRR (2022)
Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. CoRR (2022)
Yujing Zhang, Zhangming Chan, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng, Bo Zheng
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. CoRR (2022)
Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models. NeurIPS (2022)
Yucheng Lu, Qiang Ji, Liang Wang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng
STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction. CIKM (2022)
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, Guorui Zhou, Xiaoqiang Zhu, Hongbo Deng
CAN: Feature Co-Action Network for Click-Through Rate Prediction. WSDM (2022)
Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang
Comparative Explanations of Recommendations. CoRR (2021)
Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. CoRR (2021)
Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan
Learning a Product Relevance Model from Click-Through Data in E-Commerce. WWW (2021)
Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Hongbo Deng, Xiaoqiang Zhu
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. CIKM (2021)
Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang
Path-based Deep Network for Candidate Item Matching in Recommenders. SIGIR (2021)
Junhao Zhang, Weidi Xu, Jianhui Ji, Xi Chen, Hongbo Deng, Keping Yang
Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce. WSDM (2021)
Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang
Explanation as a Defense of Recommendation. WSDM (2021)
Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang
Path-based Deep Network for Candidate Item Matching in Recommenders. CoRR (2021)
Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao, Hongbo Deng
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. WSDM (2021)
Yule Wang, Qiang Luo, Yue Ding, Dong Wang, Hongbo Deng
DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction. CoRR (2021)
Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang
Explanation as a Defense of Recommendation. CoRR (2021)
Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan
Learning a Product Relevance Model from Click-Through Data in E-Commerce. CoRR (2021)
Yatao Yang, Biyu Ma, Jun Tan, Hongbo Deng, Haikuan Huang, Zibin Zheng
FINN: Feedback Interactive Neural Network for Intent Recommendation. WWW (2021)
Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. SIGIR (2020)
Tong Zhang, Baoliang 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. ICDE (2020)
Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. CoRR (2020)
Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. SIGIR (2020)
Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Honggang Wang, Hongbo Deng, Zhenzhong Chen
Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. CIKM (2020)
Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI (2020)
Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR (2020)
Di Yin, Jiwei Tan, Zhe Zhang, Hongbo Deng, Shujian Huang, Jiajun Chen
Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach. KDD (2020)
Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. CoRR (2020)
Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen
A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce. KDD (2020)
Dong Xu, Jianhui Ji, Haikuan Huang, Hongbo Deng, Wu-Jun Li
Gated Group Self-Attention for Answer Selection. CoRR (2019)
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)
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)
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)
Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork
Multi-view Embedding-based Synonyms for Email Search. SIGIR (2019)
Liangda Li, Hongbo Deng, Jianhui Chen, Yi Chang
Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes. WSDM (2017)
Yingfei Wang, Hua Ouyang, Hongbo Deng, Yi Chang
Learning Online Trends for Interactive Query Auto-Completion. IEEE Trans. Knowl. Data Eng. 29 (11) (2017)
Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Ricardo Baeza-Yates, Hongyuan Zha
Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion. WWW (2017)
Liangda Li, Hongbo Deng, Yunlong He, Anlei Dong, Yi Chang, Hongyuan Zha
Behavior Driven Topic Transition for Search Task Identification. WWW (2016)
Amit Goyal, Jianfeng Gao, Hongbo Deng, Yi Chang
Query Understanding for Search on All Devices at WSDM 2016. WSDM (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. KDD (2016)
Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter, Hongbo Deng
Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach. WWW (2016)
Aston Zhang, Amit Goyal, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang, Carl A. Gunter, Jiawei Han
adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback. SIGIR (2015)
Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha, Ricardo Baeza-Yates
Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes. SIGIR (2015)
Liang Chen, Jian Wu, Hengyi Jian, Hongbo Deng, Zhaohui Wu
Instant Recommendation for Web Services Composition. IEEE Trans. Serv. Comput. 7 (4) (2014)
Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha
Identifying and labeling search tasks via query-based hawkes processes. KDD (2014)
Yanen Li, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang, ChengXiang Zhai
A two-dimensional click model for query auto-completion. SIGIR (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. Stat. Anal. Data Min. 7 (4) (2014)
Jianbin Huang, Heli Sun, Qinbao Song, Hongbo Deng, Jiawei Han
Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network. IEEE Trans. Knowl. Data Eng. 25 (8) (2013)
Hongbo Deng, Jiawei Han, Heng Ji, Hao Li, Yue Lu, Hongning Wang
Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks. SDM (2013)
Jianbin Huang, Heli Sun, Jianmei Kang, Junjie Qi, Hongbo Deng, Qinbao Song
ESC: An efficient synchronization-based clustering algorithm. Knowl. Based Syst. 40 (2013)
Hongbo Deng, Jiawei Han, Michael R. Lyu, Irwin King
Modeling and exploiting heterogeneous bibliographic networks for expertise ranking. JCDL (2012)
Hongbo Deng, Irwin King, Michael R. Lyu
Enhanced Models for Expertise Retrieval Using Community-Aware Strategies. IEEE Trans. Syst. Man Cybern. Part B 42 (1) (2012)
Heng Ji, Hongbo Deng, Jiawei Han
Uncertainty Reduction for Knowledge Discovery and Information Extraction on the World Wide Web. Proc. IEEE 100 (9) (2012)
Rui Li, Shengjie Wang, Hongbo Deng, Rui Wang, Kevin Chen-Chuan Chang
Towards social user profiling: unified and discriminative influence model for inferring home locations. KDD (2012)
Hongzhao Huang, Arkaitz Zubiaga, Heng Ji, Hongbo Deng, Dong Wang, Hieu Khac Le, Tarek F. Abdelzaher, Jiawei Han, Alice Leung, John P. Hancock, Clare R. Voss
Tweet Ranking Based on Heterogeneous Networks. COLING (2012)
Taylor Cassidy, Heng Ji, Hongbo Deng, Jing Zheng, Jiawei Han
Analysis and Refinement of Cross-Lingual Entity Linking. CLEF (2012)
Taylor Cassidy, Zheng Chen, Javier Artiles, Heng Ji, Hongbo Deng, Lev-Arie Ratinov, Jiawei Han, Dan Roth, Jing Zheng
CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description. TAC (2011)
Hongbo Deng, Bo Zhao, Jiawei Han
Collective topic modeling for heterogeneous networks. SIGIR (2011)
Hongbo Deng, Jiawei Han, Bo Zhao, Yintao Yu, Cindy Xide Lin
Probabilistic topic models with biased propagation on heterogeneous information networks. KDD (2011)
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, Yizhou Sun, Yaguang Liu
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks. CIKM (2010)
Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, Peixiang Zhao, Boqin Feng
gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration. ICDM (2010)
Hongbo Deng, Irwin King, Michael R. Lyu
Entropy-biased models for query representation on the click graph. SIGIR (2009)
Hongbo Deng, Michael R. Lyu, Irwin King
A generalized Co-HITS algorithm and its application to bipartite graphs. KDD (2009)
Hongbo Deng, Michael R. Lyu, Irwin King
Effective latent space graph-based re-ranking model with global consistency. WSDM (2009)
Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu
A social recommendation framework based on multi-scale continuous conditional random fields. CIKM (2009)
Hongbo Deng, Irwin King, Michael R. Lyu
Enhancing expertise retrieval using community-aware strategies. CIKM (2009)
Hongbo Deng, Irwin King, Michael R. Lyu
Formal Models for Expert Finding on DBLP Bibliography Data. ICDM (2008)
Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin King
Two-stage Multi-class AdaBoost for Facial Expression Recognition. IJCNN (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hongbo Deng