Xiuqiang He

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

A Graph-Enhanced Click Model for Web Search.

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Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval.

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Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT.

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Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table.

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Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Mitigating Confounding Bias in Recommendation via Information Bottleneck.

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Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Why Do We Click: Visual Impression-aware News Recommendation.

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Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Dual Sequence Transformer for Query-based Interactive Recommendation.

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Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Retrieval & Interaction Machine for Tabular Data Prediction.

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Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Dual Graph enhanced Embedding Neural Network for CTR Prediction.

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Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

An Embedding Learning Framework for Numerical Features in CTR Prediction.

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Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

BiPS: Hotness-aware Bi-tier Parameter Synchronization for Recommendation Models.

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Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Deep Learning for Click-Through Rate Estimation.

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

UNBERT: User-News Matching BERT for News Recommendation.

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Open Benchmarking for Click-Through Rate Prediction.

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Top-N Recommendation with Counterfactual User Preference Simulation.

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation.

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SimpleX: A Simple and Strong Baseline for Collaborative Filtering.

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models.

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract).

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Graph Heterogeneous Multi-Relational Recommendation.

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

State representation modeling for deep reinforcement learning based recommendation.

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Knowl. Based Syst., 2020

Top-aware reinforcement learning based recommendation.

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Neurocomputing, 2020

AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction.

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CoRR, 2020

FuxiCTR: An Open Benchmark for Click-Through Rate Prediction.

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CoRR, 2020

A Practical Incremental Method to Train Deep CTR Models.

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CoRR, 2020

Personalized Re-ranking for Improving Diversity in Live Recommender Systems.

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CoRR, 2020

MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection.

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Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Dual-attentional Factorization-Machines based Neural Network for User Response Prediction.

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Proceedings of the Companion of The 2020 Web Conference 2020, 2020

End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding.

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Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning.

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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Influence Function for Unbiased Recommendation.

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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Neighbor Interaction Aware Graph Convolution Networks for Recommendation.

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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach.

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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction.

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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data.

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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multi-Branch Convolutional Network for Context-Aware Recommendation.

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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation.

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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks.

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Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Counterfactual learning for recommender system.

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Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding.

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Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos.

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Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction.

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Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks.

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Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction.

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Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Ensembled CTR Prediction via Knowledge Distillation.

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Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Personalized Re-ranking with Item Relationships for E-commerce.

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Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction.

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Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

U-rank: Utility-oriented Learning to Rank with Implicit Feedback.

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Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation.

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Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Less Is Better: Unweighted Data Subsampling via Influence Function.

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Leveraging Title-Abstract Attentive Semantics for Paper Recommendation.

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data.

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ACM Trans. Inf. Syst., 2019

Model-free inference of diffusion networks using RKHS embeddings.

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Data Min. Knowl. Discov., 2019

Modeling the Past and Future Contexts for Session-based Recommendation.

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CoRR, 2019

Learning Cross-Domain Representation with Multi-Graph Neural Network.

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CoRR, 2019

Multi-graph Convolution Collaborative Filtering.

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Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction.

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CoRR, 2018

Collaborative Filtering with Graph-based Implicit Feedback.

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CoRR, 2018

Federated Meta-Learning for Recommendation.

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[DOI]

CoRR, 2018

Field-aware probabilistic embedding neural network for CTR prediction.

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Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification.

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Proceedings of the Database Systems for Advanced Applications, 2018

2017

Holistic Neural Network for CTR Prediction.

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Proceedings of the 26th International Conference on World Wide Web Companion, 2017

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.

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Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Graph-Based Push Service Platform.

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Proceedings of the Database Systems for Advanced Applications, 2017

2015

Valuating Queries for Data Trading in Modern Cities.

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Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Mining target users for online marketing based on App Store data.

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Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel.

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Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data.

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Proc. VLDB Endow., 2014

2012

A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective.

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Proceedings of the NETWORKING 2012, 2012

2010

Hardware/software partitioning and pipelined scheduling on runtime reconfigurable FPGAs.

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ACM Trans. Design Autom. Electr. Syst., 2010

Task Allocation and Optimization of Distributed Embedded Systems with Simulated Annealing and Geometric Programming.

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[DOI]

Yongxin Zhu

Comput. J., 2010

2009

Efficient algorithms for 2D area management and online task placement on runtime reconfigurable FPGAs.

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Microprocess. Microsystems, 2009

2008

A Hierarchical Framework for Design Space Exploration and Optimization of TTP-Based Distributed Embedded Systems.

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IEEE Trans. Ind. Informatics, 2008

Efficient SAT-Based Mapping and Scheduling of Homogeneous Synchronous Dataflow Graphs for Throughput Optimization.

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Proceedings of the 29th IEEE Real-Time Systems Symposium, 2008

Hardware/Software Partitioning and Static Task Scheduling on Runtime Reconfigurable FPGAs using a SMT Solver.

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Proceedings of the 14th IEEE Real-Time and Embedded Technology and Applications Symposium, 2008

2007

Static Scheduling and Software Synthesis for Dataflow Graphs with Symbolic Model-Checking.

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Proceedings of the 28th IEEE Real-Time Systems Symposium (RTSS 2007), 2007

Optimal Static Task Scheduling on Reconfigurable Hardware Devices Using Model-Checking.

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Proceedings of the 13th IEEE Real-Time and Embedded Technology and Applications Symposium, 2007

An efficient algorithm for online management of 2D area of partially reconfigurable FPGAs.

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Proceedings of the 2007 Design, Automation and Test in Europe Conference and Exposition, 2007

Optimization of Static Task and Bus Access Schedules for Time-Triggered Distributed Embedded Systems with Model-Checking.

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