Hongbo Deng - RankMe

98 papers A* 38A 25B 2Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Audience-Aware and Self-Adaptive Multi-Interest Modeling for Sharing Rate Prediction in Affiliate Marketing. CIKM Zhe Wang, Ziyu Guan, Yujian Cao, Yaming Yang, Rui Wang, Bin Tong, Wei Zhao, Hongbo Deng
2025	A	`conf`	Dynamic Network-Based Two-Stage Time Series Forecasting for Affiliate Marketing. CIKM Zhe Wang, Yaming Yang, Ziyu Guan, Bin Tong, Rui Wang, Wei Zhao, Hongbo Deng
2025	J	`jnl`	Dynamic Network-Based Two-Stage Time Series Forecasting for Affiliate Marketing. CoRR Zhe Wang, Yaming Yang, Ziyu Guan, Bin Tong, Rui Wang, Wei Zhao, Hongbo Deng
2025	A	`conf`	Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning. WSDM Shijie Zhu, Hui Zhao, Tianshu Wu, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng
2025	J	`jnl`	Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning. CoRR Shijie Zhu, Hui Zhao, Tianshu Wu, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng
2024	A	`conf`	Unified Visual Preference Learning for User Intent Understanding. WSDM Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li
2023	A	`conf`	BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network. CIKM Shuai Fan, Jinping Gou, Yang Li, Jiaxing Bai, Chen Lin, Wanxian Guan, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng
2023	A*	`conf`	E-commerce Search via Content Collaborative Graph Neural Network. KDD Guipeng Xv, Chen Lin, Wanxian Guan, Jinping Gou, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng
2023	A*	`conf`	Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. KDD Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng
2023	A*	`conf`	Multi-Scenario Ranking with Adaptive Feature Learning. SIGIR Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li
2023	J	`jnl`	Multi-Scenario Ranking with Adaptive Feature Learning. CoRR Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li
2022	A*	`conf`	APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. NeurIPS Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng
2022	A*	`conf`	Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. KDD Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng
2022	A	`conf`	Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. CIKM Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng
2022	J	`jnl`	Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. CoRR Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng
2022	J	`jnl`	Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization. ACM Trans. Inf. Syst. Jiashu Zhao, Jimmy Xiangji Huang, Hongbo Deng, Yi Chang, Long Xia
2022	A	`conf`	CAN: Feature Co-Action Network for Click-Through Rate Prediction. WSDM 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
2022	A*	`conf`	Comparative Explanations of Recommendations. WWW Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang
2022	A*	`conf`	EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search. KDD Chi Chen, Hui Chen, Kangzhi Zhao, Junsheng Zhou, Li He, Hongbo Deng, Jian Xu, Bo Zheng, Yong Zhang, Chunxiao Xing
2022	J	`jnl`	GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model. CoRR Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng
2022	A*	`conf`	GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models. NeurIPS Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng
2022	A	`conf`	Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce. CIKM Zhiyuan Zeng, Yuzhi Huang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng
2022	A*	`conf`	Joint Optimization of Ad Ranking and Creative Selection. SIGIR Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng
2022	J	`jnl`	Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. CoRR Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng
2022	A	`conf`	KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. CIKM Yujing Zhang, Zhangming Chan, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng, Bo Zheng
2022	J	`jnl`	KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. CoRR Yujing Zhang, Zhangming Chan, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng, Bo Zheng
2022	A*	`conf`	KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han
2022	A*	`conf`	Pretraining Representations of Multi-modal Multi-query E-commerce Search. KDD Xinyi Liu, Wanxian Guan, Lianyun Li, Hui Li, Chen Lin, Xubin Li, Si Chen, Jian Xu, Hongbo Deng, Bo Zheng
2022	A	`conf`	STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction. CIKM Yucheng Lu, Qiang Ji, Liang Wang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng
2022	A	`conf`	Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models. CIKM Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng
2022	J	`jnl`	Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models. CoRR Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng
2022	A	`conf`	Visual Encoding and Debiasing for CTR Prediction. CIKM Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan Bu, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng
2021	J	`jnl`	Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. CoRR Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng
2021	J	`jnl`	Comparative Explanations of Recommendations. CoRR Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang
2021	J	`jnl`	DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction. CoRR Yule Wang, Qiang Luo, Yue Ding, Dong Wang, Hongbo Deng
2021	A	`conf`	Explanation as a Defense of Recommendation. WSDM Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang
2021	J	`jnl`	Explanation as a Defense of Recommendation. CoRR Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang
2021	A*	`conf`	FINN: Feedback Interactive Neural Network for Intent Recommendation. WWW Yatao Yang, Biyu Ma, Jun Tan, Hongbo Deng, Haikuan Huang, Zibin Zheng
2021	A	`conf`	Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. WSDM Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao, Hongbo Deng
2021	A*	`conf`	Learning a Product Relevance Model from Click-Through Data in E-Commerce. WWW Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan
2021	J	`jnl`	Learning a Product Relevance Model from Click-Through Data in E-Commerce. CoRR Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan
2021	A	`conf`	Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce. WSDM Junhao Zhang, Weidi Xu, Jianhui Ji, Xi Chen, Hongbo Deng, Keping Yang
2021	A	`conf`	One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. CIKM Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Hongbo Deng, Xiaoqiang Zhu
2021	A*	`conf`	Path-based Deep Network for Candidate Item Matching in Recommenders. SIGIR Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang
2021	J	`jnl`	Path-based Deep Network for Candidate Item Matching in Recommenders. CoRR Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang
2020	A*	`conf`	A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce. KDD Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen
2020	A*	`conf`	AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
2020	J	`jnl`	AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
2020	A*	`conf`	CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. SIGIR Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun
2020	J	`jnl`	CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. CoRR Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun
2020	A*	`conf`	Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guide in E-Commerce Search. ICDE Tong Zhang, Baoliang Cui, Zhen Cui, Haikuan Huang, Jian Yang, Hongbo Deng, Bo Zheng
2020	A*	`conf`	ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. SIGIR Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng
2020	J	`jnl`	ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. CoRR Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng
2020	A	`conf`	Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. CIKM Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Honggang Wang, Hongbo Deng, Zhenzhong Chen
2020	A*	`conf`	Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach. KDD Di Yin, Jiwei Tan, Zhe Zhang, Hongbo Deng, Shujian Huang, Jiajun Chen
2019	A*	`conf`	AliISA: Creating an Interactive Search Experience in E-commerce Platforms. SIGIR Fei Xiao, Zhen Wang, Haikuan Huang, Jun Huang, Xi Chen, Hongbo Deng, Minghui Qiu, Xiaoli Gong
2019	A	`conf`	An Active and Deep Semantic Matching Framework for Query Rewrite in E-Commercial Search Engine. CIKM Yatao Yang, Jun Tan, Hongbo Deng, Zibin Zheng, Yutong Lu, Xiangke Liao
2019	A*	`conf`	Building Personalized Simulator for Interactive Search. IJCAI Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong
2019	J	`jnl`	Gated Group Self-Attention for Answer Selection. CoRR Dong Xu, Jianhui Ji, Haikuan Huang, Hongbo Deng, Wu-Jun Li
2019	A*	`conf`	Multi-view Embedding-based Synonyms for Email Search. SIGIR Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork
2017	A*	`conf`	Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion. WWW Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Ricardo Baeza-Yates, Hongyuan Zha
2017	J	`jnl`	Learning Online Trends for Interactive Query Auto-Completion. IEEE Trans. Knowl. Data Eng. Yingfei Wang, Hua Ouyang, Hongbo Deng, Yi Chang
2017	A	`conf`	Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes. WSDM Liangda Li, Hongbo Deng, Jianhui Chen, Yi Chang
2016	A*	`conf`	Behavior Driven Topic Transition for Search Task Identification. WWW Liangda Li, Hongbo Deng, Yunlong He, Anlei Dong, Yi Chang, Hongyuan Zha
2016	A	`conf`	Query Understanding for Search on All Devices at WSDM 2016. WSDM Amit Goyal, Jianfeng Gao, Hongbo Deng, Yi Chang
2016	A*	`conf`	Ranking Relevance in Yahoo Search. KDD 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
2016	A*	`conf`	Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach. WWW Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter, Hongbo Deng
2015	A*	`conf`	Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes. SIGIR Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha, Ricardo Baeza-Yates
2015	A*	`conf`	adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback. SIGIR Aston Zhang, Amit Goyal, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang, Carl A. Gunter, Jiawei Han
2014	A*	`conf`	A two-dimensional click model for query auto-completion. SIGIR Yanen Li, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang, ChengXiang Zhai
2014	J	`jnl`	Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks. Stat. Anal. Data Min. Hongbo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang, Yue Lu
2014	A*	`conf`	Identifying and labeling search tasks via query-based hawkes processes. KDD Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha
2014	J	`jnl`	Instant Recommendation for Web Services Composition. IEEE Trans. Serv. Comput. Liang Chen, Jian Wu, Hengyi Jian, Hongbo Deng, Zhaohui Wu
2014	—	`ch.`	Probabilistic Models for Classification. Data Classification: Algorithms and Applications Hongbo Deng, Yizhou Sun, Yi Chang, Jiawei Han
2013	J	`jnl`	ESC: An efficient synchronization-based clustering algorithm. Knowl. Based Syst. Jianbin Huang, Heli Sun, Jianmei Kang, Junjie Qi, Hongbo Deng, Qinbao Song
2013	A	`conf`	Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks. SDM Hongbo Deng, Jiawei Han, Heng Ji, Hao Li, Yue Lu, Hongning Wang
2013	—	`ch.`	Probabilistic Models for Clusterings. Data Clustering: Algorithms and Applications Hongbo Deng, Jiawei Han
2013	J	`jnl`	Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network. IEEE Trans. Knowl. Data Eng. Jianbin Huang, Heli Sun, Qinbao Song, Hongbo Deng, Jiawei Han
2012	—	`conf`	Analysis and Refinement of Cross-Lingual Entity Linking. CLEF Taylor Cassidy, Heng Ji, Hongbo Deng, Jing Zheng, Jiawei Han
2012	J	`jnl`	Enhanced Models for Expertise Retrieval Using Community-Aware Strategies. IEEE Trans. Syst. Man Cybern. Part B Hongbo Deng, Irwin King, Michael R. Lyu
2012	—	`conf`	Modeling and exploiting heterogeneous bibliographic networks for expertise ranking. JCDL Hongbo Deng, Jiawei Han, Michael R. Lyu, Irwin King
2012	—	`ch.`	Probabilistic Models for Text Mining. Mining Text Data Yizhou Sun, Hongbo Deng, Jiawei Han
2012	A*	`conf`	Towards social user profiling: unified and discriminative influence model for inferring home locations. KDD Rui Li, Shengjie Wang, Hongbo Deng, Rui Wang, Kevin Chen-Chuan Chang
2012	B	`conf`	Tweet Ranking Based on Heterogeneous Networks. COLING 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
2012	J	`jnl`	Uncertainty Reduction for Knowledge Discovery and Information Extraction on the World Wide Web. Proc. IEEE Heng Ji, Hongbo Deng, Jiawei Han
2011	—	`conf`	CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description. TAC Taylor Cassidy, Zheng Chen, Javier Artiles, Heng Ji, Hongbo Deng, Lev-Arie Ratinov, Jiawei Han, Dan Roth, Jing Zheng
2011	A*	`conf`	Collective topic modeling for heterogeneous networks. SIGIR Hongbo Deng, Bo Zhao, Jiawei Han
2011	A*	`conf`	Probabilistic topic models with biased propagation on heterogeneous information networks. KDD Hongbo Deng, Jiawei Han, Bo Zhao, Yintao Yu, Cindy Xide Lin
2010	A	`conf`	SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks. CIKM Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, Yizhou Sun, Yaguang Liu
2010	A*	`conf`	gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration. ICDM Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, Peixiang Zhao, Boqin Feng
2009	A*	`conf`	A generalized Co-HITS algorithm and its application to bipartite graphs. KDD Hongbo Deng, Michael R. Lyu, Irwin King
2009	A	`conf`	A social recommendation framework based on multi-scale continuous conditional random fields. CIKM Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu
2009	A	`conf`	Effective latent space graph-based re-ranking model with global consistency. WSDM Hongbo Deng, Michael R. Lyu, Irwin King
2009	A	`conf`	Enhancing expertise retrieval using community-aware strategies. CIKM Hongbo Deng, Irwin King, Michael R. Lyu
2009	A*	`conf`	Entropy-biased models for query representation on the click graph. SIGIR Hongbo Deng, Irwin King, Michael R. Lyu
2009	—	`—`	Web mining techniques for query log analysis and expertise retrieval. Hongbo Deng
2008	A*	`conf`	Formal Models for Expert Finding on DBLP Bibliography Data. ICDM Hongbo Deng, Irwin King, Michael R. Lyu
2007	B	`conf`	Two-stage Multi-class AdaBoost for Facial Expression Recognition. IJCNN Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin King