Hongbo Deng

Orcid: 0000-0002-9659-5111

According to our database1, Hongbo Deng authored at least 80 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Unified Visual Preference Learning for User Intent Understanding.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
Multi-Scenario Ranking with Adaptive Feature Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

E-commerce Search via Content Collaborative Graph Neural Network.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization.
ACM Trans. Inf. Syst., 2022

Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models.
CoRR, 2022

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model.
CoRR, 2022

Comparative Explanations of Recommendations.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CAN: Feature Co-Action Network for Click-Through Rate Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Joint Optimization of Ad Ranking and Creative Selection.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Pretraining Representations of Multi-modal Multi-query E-commerce Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Visual Encoding and Debiasing for CTR Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction.
CoRR, 2021

Learning a Product Relevance Model from Click-Through Data in E-Commerce.
Proceedings of the WWW '21: The Web Conference 2021, 2021

FINN: Feedback Interactive Neural Network for Intent Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce.
Proceedings of the WSDM '21, 2021

Explanation as a Defense of Recommendation.
Proceedings of the WSDM '21, 2021

Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks.
Proceedings of the WSDM '21, 2021

Path-based Deep Network for Candidate Item Matching in Recommenders.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guide in E-Commerce Search.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Gated Group Self-Attention for Answer Selection.
CoRR, 2019

AliISA: Creating an Interactive Search Experience in E-commerce Platforms.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Multi-view Embedding-based Synonyms for Email Search.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Building Personalized Simulator for Interactive Search.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

An Active and Deep Semantic Matching Framework for Query Rewrite in E-Commercial Search Engine.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017
Learning Online Trends for Interactive Query Auto-Completion.
IEEE Trans. Knowl. Data Eng., 2017

Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion.
Proceedings of the 26th International Conference on World Wide Web, 2017

Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016
Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach.
Proceedings of the 25th International Conference on World Wide Web, 2016

Behavior Driven Topic Transition for Search Task Identification.
Proceedings of the 25th International Conference on World Wide Web, 2016

Query Understanding for Search on All Devices at WSDM 2016.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Ranking Relevance in Yahoo Search.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

2014
Instant Recommendation for Web Services Composition.
IEEE Trans. Serv. Comput., 2014

Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks.
Stat. Anal. Data Min., 2014

A two-dimensional click model for query auto-completion.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Identifying and labeling search tasks via query-based hawkes processes.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Probabilistic Models for Classification.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network.
IEEE Trans. Knowl. Data Eng., 2013

ESC: An efficient synchronization-based clustering algorithm.
Knowl. Based Syst., 2013

Probabilistic Models for Clusterings.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
Enhanced Models for Expertise Retrieval Using Community-Aware Strategies.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Uncertainty Reduction for Knowledge Discovery and Information Extraction on the World Wide Web.
Proc. IEEE, 2012

Towards social user profiling: unified and discriminative influence model for inferring home locations.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Modeling and exploiting heterogeneous bibliographic networks for expertise ranking.
Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

Tweet Ranking Based on Heterogeneous Networks.
Proceedings of the COLING 2012, 2012

Analysis and Refinement of Cross-Lingual Entity Linking.
Proceedings of the Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics, 2012

Probabilistic Models for Text Mining.
Proceedings of the Mining Text Data, 2012

2011
CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description.
Proceedings of the Fourth Text Analysis Conference, 2011

Collective topic modeling for heterogeneous networks.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Probabilistic topic models with biased propagation on heterogeneous information networks.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration.
Proceedings of the ICDM 2010, 2010

SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Web mining techniques for query log analysis and expertise retrieval.
PhD thesis, 2009

Effective latent space graph-based re-ranking model with global consistency.
Proceedings of the Second International Conference on Web Search and Web Data Mining, 2009

Entropy-biased models for query representation on the click graph.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

A generalized Co-HITS algorithm and its application to bipartite graphs.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

A social recommendation framework based on multi-scale continuous conditional random fields.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Enhancing expertise retrieval using community-aware strategies.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Formal Models for Expert Finding on DBLP Bibliography Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Two-stage Multi-class AdaBoost for Facial Expression Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2007


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