Hengjie Song

Orcid: 0000-0003-4121-9466

According to our database1, Hengjie Song authored at least 46 papers between 2005 and 2024.

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Bibliography

2024
Automated Dominative Subspace Mining for Efficient Neural Architecture Search.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion.
Neural Networks, 2024

Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process.
Proceedings of the International Joint Conference on Neural Networks, 2024

FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Adversarial domain adaptation for cross-project defect prediction.
Empir. Softw. Eng., October, 2023

Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion.
Neural Networks, July, 2023

A multimodal approach for improving market price estimation in online advertising.
Knowl. Based Syst., April, 2023

Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings.
IEEE Trans. Knowl. Data Eng., 2023

Responsible and Effective Federated Learning in Financial Services: A Comprehensive Survey.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach.
ACM Trans. Knowl. Discov. Data, 2022

Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising.
Knowl. Based Syst., 2022

A cross-project defect prediction method based on multi-adaptation and nuclear norm.
IET Softw., 2022

Automatic Subspace Evoking for Efficient Neural Architecture Search.
CoRR, 2022

2021
Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Kernel-target alignment based non-linear metric learning.
Neurocomputing, 2020

Time-aware Graph Embedding: A temporal smoothness and task-oriented approach.
CoRR, 2020

Timespan-Aware Dynamic Knowledge Graph Embedding by Incorporating Temporal Evolution.
IEEE Access, 2020

2019
Combining Part-of-Speech Tags and Self-Attention Mechanism for Simile Recognition.
IEEE Access, 2019

A Revenue-Maximizing Bidding Strategy for Demand-Side Platforms.
IEEE Access, 2019

Unifying Task-Oriented Knowledge Graph Learning and Recommendation.
IEEE Access, 2019

Multi-Label Metric Transfer Learning Jointly Considering Instance Space and Label Space Distribution Divergence.
IEEE Access, 2019

AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation.
Neurocomputing, 2018

Modeling biological systems with uncertain kinetic data using fuzzy continuous Petri nets.
BMC Syst. Biol., 2018

Artificial Intelligence Powered MOOCs: A Brief Survey.
Proceedings of the IEEE International Conference on Agents, 2018

2017
A Unified Framework for Metric Transfer Learning.
IEEE Trans. Knowl. Data Eng., 2017

ABCGA Algorithm for the Two Echelon Vehicle Routing Problem.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016
Individual Judgments Versus Consensus: Estimating Query-URL Relevance.
ACM Trans. Web, 2016

ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification.
IEEE Trans. Knowl. Data Eng., 2016

Multi-instance multi-label distance metric learning for genome-wide protein function prediction.
Comput. Biol. Chem., 2016

2015
Synthetic Evidential Study as Augmented Collective Thought Process - Preliminary Report.
Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2014
Context-Aware Personal Information Retrieval From Multiple Social Networks.
IEEE Comput. Intell. Mag., 2014

2013
Utilizing URLs Position to Estimate Intrinsic Query-URL Relevance.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
A Mouse-Trajectory Based Model for Predicting Query-URL Relevance.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
A probabilistic fuzzy approach to modeling nonlinear systems.
Neurocomputing, 2011

Generating True Relevance Labels in Chinese Search Engine Using Clickthrough Data.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Learning algorithms in fuzzy cognitive maps
PhD thesis, 2010

Implementation of Fuzzy Cognitive Maps Based on Fuzzy Neural Network and Application in Prediction of Time Series.
IEEE Trans. Fuzzy Syst., 2010

Design of fuzzy cognitive maps using neural networks for predicting chaotic time series.
Neural Networks, 2010

2009
A fuzzy neural network with fuzzy impact grades.
Neurocomputing, 2009

2007
The Multi-Agent Data Collection in HLA-Based Simulation System.
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation, 2007

Fuzzy cognitive map learning based on multi-objectiveparticle swarm optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Probabilistic Fuzzy Cognitive Map.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
The application of evaluation method based on HMM for results validity of complex simulation system.
Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005


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