Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

BaGuaLu: targeting brain scale pretrained models with over 37 million cores.

[BibT_eX]

[DOI]

Zixuan Ma

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

In-N-Out Generative Learning for Dense Unsupervised Video Segmentation.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Device-cloud Collaborative Recommendation via Meta Controller.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

GraphMAE: Self-Supervised Masked Graph Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably).

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Reliable Adversarial Distillation with Unreliable Teachers.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Single Stage Virtual Try-On Via Deformable Attention Flows.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Intra-session Context-aware Feed Recommendation in Live Systems.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Continuous treatment effect estimation via generative adversarial de-confounding.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2021

Cross-domain User Preference Learning for Cold-start Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2021

M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining.

[BibT_eX]

[DOI]

CoRR, 2021

Stable Prediction on Graphs with Agnostic Distribution Shift.

[BibT_eX]

[DOI]

CoRR, 2021

Click-through Rate Prediction with Auto-Quantized Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Dynamic Sequential Graph Learning for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2021

MC$^2$-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Exploring Sparse Expert Models and Beyond.

[BibT_eX]

[DOI]

CoRR, 2021

Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention.

[BibT_eX]

[DOI]

CoRR, 2021

Federated Graph Learning - A Position Paper.

[BibT_eX]

[DOI]

CoRR, 2021

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Contrastive Conditional Transport for Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2021

OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Models.

[BibT_eX]

[DOI]

CoRR, 2021

CogDL: An Extensive Toolkit for Deep Learning on Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

M6: A Chinese Multimodal Pretrainer.

[BibT_eX]

[DOI]

CoRR, 2021

Understanding the Interaction of Adversarial Training with Noisy Labels.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Co-Attention Network for Multi-View Subspace Learning.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Controllable Gradient Item Retrieval.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Sparse-Interest Network for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CogView: Mastering Text-to-Image Generation via Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Controllable Generation from Pre-trained Language Models via Inverse Prompting.

[BibT_eX]

[DOI]

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

Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems.

[BibT_eX]

[DOI]

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

Device-Cloud Collaborative Learning for Recommendation.

[BibT_eX]

[DOI]

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

M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining.

[BibT_eX]

[DOI]

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

Using Big Data to Enhance the Targeted Research of College Students' Ideological Education.

[BibT_eX]

[DOI]

Hongxia Yang

Proceedings of the IPEC 2021: 2nd Asia-Pacific Conference on Image Processing, 2021

Learning to Rehearse in Long Sequence Memorization.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

KNAS: Green Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

DeVLBert: Out-of-Distribution Visio-Linguistic Pretraining With Causality.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Grounded, Controllable and Debiased Image Completion With Lexical Semantics.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Connecting Language and Vision for Natural Language-Based Vehicle Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation.

[BibT_eX]

[DOI]

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

Evaluation Index of Algorithm Performance in Building Energy Saving Optimization Design.

[BibT_eX]

[DOI]

Hai Zheng

Hongxia Yang

Proceedings of the 2021 International Conference on Applications and Techniques in Cyber Intelligence, 2021

Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Learning Relation Alignment for Calibrated Cross-modal Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning with Group Noise.

[BibT_eX]

[DOI]

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

Dynamic Memory based Attention Network for Sequential Recommendation.

[BibT_eX]

[DOI]

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

2020

Trust Relationship Prediction in Alibaba E-Commerce Platform.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Graph-based Multi-hop Reasoning for Long Text Generation.

[BibT_eX]

[DOI]

CoRR, 2020

DVE: Dynamic Variational Embeddings with Applications in Recommender Systems.

[BibT_eX]

[DOI]

Meimei Liu

Hongxia Yang

CoRR, 2020

A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Variational Auto-encoder for Recommender Systems with Exploration-Exploitation.

[BibT_eX]

[DOI]

Yizi Zhang

Hongxia Yang

Meimei Liu

CoRR, 2020

Contrastive Learning for Debiased Candidate Generation at Scale.

[BibT_eX]

[DOI]

CoRR, 2020

InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining.

[BibT_eX]

[DOI]

CoRR, 2020

Grounded and Controllable Image Completion by Incorporating Lexical Semantics.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Hash with Graph Neural Networks for Recommender Systems.

[BibT_eX]

[DOI]

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

Task-Oriented Genetic Activation for Large-Scale Complex Heterogeneous Graph Embedding.

[BibT_eX]

[DOI]

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

BiANE: Bipartite Attributed Network Embedding.

[BibT_eX]

[DOI]

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

Temporal Heterogeneous Interaction Graph Embedding for Next-Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Counterfactual Prediction for Bundle Treatment.

[BibT_eX]

[DOI]

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

CogLTX: Applying BERT to Long Texts.

[BibT_eX]

[DOI]

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

Poet: Product-oriented Video Captioner for E-commerce.

[BibT_eX]

[DOI]

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

DeVLBert: Learning Deconfounded Visio-Linguistic Representations.

[BibT_eX]

[DOI]

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

Comprehensive Information Integration Modeling Framework for Video Titling.

[BibT_eX]

[DOI]

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

Understanding Negative Sampling in Graph Representation Learning.

[BibT_eX]

[DOI]

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

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training.

[BibT_eX]

[DOI]

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

Disentangled Self-Supervision in Sequential Recommenders.

[BibT_eX]

[DOI]

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

Learning Stable Graphs from Multiple Environments with Selection Bias.

[BibT_eX]

[DOI]

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

Controllable Multi-Interest Framework for Recommendation.

[BibT_eX]

[DOI]

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

Dress like an Internet Celebrity: Fashion Retrieval in Videos.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Inductive Granger Causal Modeling for Multivariate Time Series.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Bringing Order to Network Embedding: A Relative Ranking based Approach.

[BibT_eX]

[DOI]

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

2019

AliGraph: A Comprehensive Graph Neural Network Platform.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Disentangled Representations for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

AliGraph: A Comprehensive Graph Neural Network Platform.

[BibT_eX]

[DOI]

Hongxia Yang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning From Networks: Algorithms, Theory, and Applications.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Sequential Scenario-Specific Meta Learner for Online Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Towards Knowledge-Based Personalized Product Description Generation in E-commerce.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Representation Learning for Attributed Multiplex Heterogeneous Network.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Large Scale Evolving Graphs with Burst Detection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Hierarchical Representation Learning for Bipartite Graphs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards Knowledge-Based Recommender Dialog System.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Cognitive Graph for Multi-Hop Reading Comprehension at Scale.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Will Triadic Closure Strengthen Ties in Social Networks?

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network.

[BibT_eX]

[DOI]

Kevin Chen-Chuan Chang

Minghui Wu

Jing Ying

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Adversarial Detection with Model Interpretation.

[BibT_eX]

[DOI]

Ninghao Liu

Hongxia Yang

Xia Hu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

ANRL: Attributed Network Representation Learning via Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment.

[BibT_eX]

[DOI]

Kevin Chen-Chuan Chang

Proceedings of the IEEE International Conference on Data Mining, 2018

PRRE: Personalized Relation Ranking Embedding for Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Local Algorithm for User Action Prediction Towards Display Ads.

[BibT_eX]

[DOI]

Hongxia Yang

Yada Zhu

Jingrui He

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

A Hybrid Framework for Text Modeling with Convolutional RNN.

[BibT_eX]

[DOI]

Chenglong Wang

Feijun Jiang

Hongxia Yang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

A Practical Framework of Conversion Rate Prediction for Online Display Advertising.

[BibT_eX]

[DOI]

Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017

Bayesian Heteroscedastic Matrix Factorization for Conversion Rate Prediction.

[BibT_eX]

[DOI]

Hongxia Yang

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2016

Bayesian Hierarchical Kernelized Probabilistic Matrix Factorization.

[BibT_eX]

[DOI]

Hongxia Yang

Jun Wang

Commun. Stat. Simul. Comput., 2016

Large Scale CVR Prediction through Dynamic Transfer Learning of Global and Local Features.

[BibT_eX]

[DOI]

Proceedings of the 5th International Workshop on Big Data, 2016

Dynamic Contextual Multi Arm Bandits in Display Advertisement.

[BibT_eX]

[DOI]

Hongxia Yang

Quan Lu

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Dynamic building energy consumption forecast using weather forecast interpolations.

[BibT_eX]

[DOI]

Rui Zhang

Hongxia Yang

Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

Co-Clustering based Dual Prediction for Cargo Pricing Optimization.

[BibT_eX]

[DOI]

Yada Zhu

Hongxia Yang

Jingrui He

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Scalable Multidimensional Hierarchical Bayesian Modeling on Spark.

[BibT_eX]

[DOI]

Róbert Ormándi

Hongxia Yang

Quan Lu

Proceedings of the 4th International Workshop on Big Data, 2015

2014

Adaptive sampling for Bayesian geospatial models.

[BibT_eX]

[DOI]

Stat. Comput., 2014

Learning with dual heterogeneity: a nonparametric bayes model.

[BibT_eX]

[DOI]

Hongxia Yang

Jingrui He

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Learning from Label and Feature Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Enterprise After-Sales Management System Based on J2EE.

[BibT_eX]

[DOI]

Hongxia Yang

Ping Mu

Yuqing Sun

Proceedings of the Information Computing and Applications - 4th International Conference, 2013

2011

Dependent Hierarchical Beta Process for Image Interpolation and Denoising.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Covariate-dependent dictionary learning and sparse coding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

1996

Application of MAS in Implementing Rational IP Routers on the Priced Internet.

[BibT_eX]

[DOI]

Hongxia Yang

Chengqi Zhang

Proceedings of the Multi-Agent Systems: Methodologies and Applications, 1996

1995

Definition and Application of a Comprehensive Framework for Distributed Problem Solving.

[BibT_eX]

[DOI]

Hongxia Yang

Chengqi Zhang

Proceedings of the Distributed Artificial Intelligence: Architecture and Modelling, 1995

Hongxia Yang

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