Bo Long

Orcid: 0000-0003-2489-200X

According to our database1, Bo Long authored at least 114 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
A Low Power IPT System With Integrated Magnetics and Hybrid Tuning for Metal Object Detection.
IEEE Trans. Ind. Electron., 2024

VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections.
CoRR, 2024

SPAR: Personalized Content-Based Recommendation via Long Engagement Attention.
CoRR, 2024

2023
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation.
Trans. Recomm. Syst., December, 2023

Enhancement of Power Decoupling for Virtual Synchronous Generator: A Virtual Inductor and Virtual Capacitor Approach.
IEEE Trans. Ind. Electron., July, 2023

Automatic product copywriting for e-commerce.
AI Mag., March, 2023

Intelligent online selling point extraction and generation for e-commerce recommendation.
AI Mag., March, 2023

A Semi-Fragile Reversible Watermarking for Authenticating 3D Models Based on Virtual Polygon Projection and Double Modulation Strategy.
IEEE Trans. Multim., 2023

SCMA: A Scattering Center Model Attack on CNN-SAR Target Recognition.
IEEE Geosci. Remote. Sens. Lett., 2023

Graph Neural Networks for Natural Language Processing: A Survey.
Found. Trends Mach. Learn., 2023

Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Meta Policy Learning for Cold-Start Conversational Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Contrastive Learning for User Sequence Representation in Personalized Product Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Reprogramming Acoustic Models for Space Target Recognition.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

RCS Statistical Feature Extraction for Space Target Recognition Based on Bi-LSTM.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Decision Fusion Framework for ISAR Images Recognition Based On Scattering Center and Zernike Moment.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Differentiable Voxel Reconstruction of Satellite Target from Multi-Station ISAR and Optical Image Sequence.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Parameter Retrieval of Attributed Scattering Center in Sar Image Using Reinforcement Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Stability Enhancement of Battery-Testing DC Microgrid: An ADRC-Based Virtual Inertia Control Approach.
IEEE Trans. Smart Grid, 2022

Voltage Regulation Enhancement of DC-MG Based on Power Accumulator Battery Test System: MPC-Controlled Virtual Inertia Approach.
IEEE Trans. Smart Grid, 2022

Gradient Descent Optimization Based Parameter Identification for FCS-MPC Control of LCL-Type Grid Connected Converter.
IEEE Trans. Ind. Electron., 2022

Robust Fuzzy-Fractional-Order Nonsingular Terminal Sliding-Mode Control of LCL-Type Grid-Connected Converters.
IEEE Trans. Ind. Electron., 2022

Sequential Model Predictive Fault-Tolerance Control for T-Type Three-Level Grid-Connected Converters With LCL Filters.
IEEE Trans. Ind. Electron., 2022

Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce.
CoRR, 2022

Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning.
CoRR, 2022

Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

From spoken dialogue to formal summary: An utterance rewriting for dialogue summarization.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

From Abstract to Details: A Generative Multimodal Fusion Framework for Recommendation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Automatic Generation of Product-Image Sequence in E-commerce.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Automatic Controllable Product Copywriting for E-Commerce.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Lilac: Parallelizing Atomic Cross-Chain Swaps.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

Negative Guided Abstractive Dialogue Summarization.
Proceedings of the Interspeech 2022, 2022

Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile.
Proceedings of the International Conference on Machine Learning, 2022

Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Automatic Scene-based Topic Channel Construction System for E-Commerce.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Context-Consistent Semantic Image Editing with Style-Preserved Modulation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Feeding What You Need by Understanding What You Learned.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Automatic Product Copywriting for E-commerce.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Reducing Flipping Errors in Deep Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Intelligent Online Selling Point Extraction for E-commerce Recommendation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Enhancement of Frequency Regulation in AC Microgrid: A Fuzzy-MPC Controlled Virtual Synchronous Generator.
IEEE Trans. Smart Grid, 2021

MPC-Controlled Virtual Synchronous Generator to Enhance Frequency and Voltage Dynamic Performance in Islanded Microgrids.
IEEE Trans. Smart Grid, 2021

A General Region Nesting-Based Semi-Fragile Reversible Watermarking for Authenticating 3D Mesh Models.
IEEE Trans. Circuits Syst. Video Technol., 2021

Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation.
CoRR, 2021

Intelligent Online Selling Point Extraction for E-Commerce Recommendation.
CoRR, 2021

RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders.
CoRR, 2021

Multi-behavior Graph Contextual Aware Network for Session-based Recommendation.
CoRR, 2021

Deep Natural Language Processing for LinkedIn Search.
CoRR, 2021

Deep Natural Language Processing for LinkedIn Search Systems.
CoRR, 2021

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation.
CoRR, 2021

Improving Sequential Recommendation Consistency with Self-Supervised Imitation.
CoRR, 2021

Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search.
CoRR, 2021

Method for Vortex Shape Retrieval and Area Calculation Based on Convex Hull Algorithm.
IEEE Access, 2021

AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning to Generate Visual Questions with Noisy Supervision.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Query Rewriting via Cycle-Consistent Translation for E-Commerce Search.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Constructing contrastive samples via summarization for text classification with limited annotations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Sequential Search with Off-Policy Reinforcement Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability.
CoRR, 2020

Deep Search Query Intent Understanding.
CoRR, 2020

Memory-efficient Embedding for Recommendations.
CoRR, 2020

Deep Transfer Learning for Search and Recommendation.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Deep Learning for Anomaly Detection.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

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

Deep Natural Language Processing for Search and Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Learning for Anomaly Detection.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Deep Learning for Search and Recommender Systems in Practice.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Model Predictive Control for Dual-Active-Bridge Converters in Stability Maintenance and Control of Power Transmission System.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Novel Control Strategy based on Differential Flatness Theory and Model Predictive Control for Dual-Active-Bridge DC-DC converter.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Efficient Neural Query Auto Completion.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Incorporating User Feedback into Sequence to Sequence Model Training.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

DeText: A Deep Text Ranking Framework with BERT.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
An Overview of DC Component Generation, Detection and Suppression for Grid-Connected Converter Systems.
IEEE Access, 2019

Deep Natural Language Processing for Search Systems.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Deep Natural Language Processing for Search and Recommender Systems.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2016
An Empirical Study on Recommendation with Multiple Types of Feedback.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Active Learning for Ranking through Expected Loss Optimization.
IEEE Trans. Knowl. Data Eng., 2015

2014
Exploiting User Preference for Online Learning in Web Content Optimization Systems.
ACM Trans. Intell. Syst. Technol., 2014

LASER: a scalable response prediction platform for online advertising.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Scalable Heterogeneous Transfer Ranking.
Proceedings of the 3rd International Workshop on Big Data, 2014

2012
Generative Models for Evolutionary Clustering.
ACM Trans. Knowl. Discov. Data, 2012

Pairwise cross-domain factor model for heterogeneous transfer ranking.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Friend or frenemy?: predicting signed ties in social networks.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Enhancing product search by best-selling prediction in e-commerce.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Iterative Viterbi A* Algorithm for K-Best Sequential Decoding.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Like like alike: joint friendship and interest propagation in social networks.
Proceedings of the 20th International Conference on World Wide Web, 2011

Collaborative competitive filtering: learning recommender using context of user choice.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Localized factor models for multi-context recommendation.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Pattern change discovery between high dimensional data sets.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
A general framework for relation graph clustering.
Knowl. Inf. Syst., 2010

Active learning for ranking through expected loss optimization.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Ranking with auxiliary data.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Machine Learning Approaches to Link-Based Clustering.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009
A Latent Topic Model for Complete Entity Resolution.
Proceedings of the 25th International Conference on Data Engineering, 2009

A risk minimization framework for domain adaptation.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
A General Model for Multiple View Unsupervised Learning.
Proceedings of the SIAM International Conference on Data Mining, 2008

Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Dirichlet Process Based Evolutionary Clustering.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Clustering on Complex Graphs.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
A probabilistic framework for relational clustering.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Relational clustering by symmetric convex coding.
Proceedings of the Machine Learning, 2007

Community Learning by Graph Approximation.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Graph Partitioning Based on Link Distributions.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Unsupervised learning on k-partite graphs.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Spectral clustering for multi-type relational data.
Proceedings of the Machine Learning, 2006

2005
Co-clustering by block value decomposition.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Combining Multiple Clusterings by Soft Correspondence.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005


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