Hengjie Song
Orcid: 0000-0003-4121-9466
According to our database1,
Hengjie Song
authored at least 46 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
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
Empir. Softw. Eng., October, 2023
Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion.
Neural Networks, July, 2023
Knowl. Based Syst., April, 2023
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
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
IET Softw., 2022
2021
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
CoRR, 2020
Timespan-Aware Dynamic Knowledge Graph Embedding by Incorporating Temporal Evolution.
IEEE Access, 2020
2019
IEEE Access, 2019
IEEE Access, 2019
Multi-Label Metric Transfer Learning Jointly Considering Instance Space and Label Space Distribution Divergence.
IEEE Access, 2019
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
Proceedings of the IEEE International Conference on Agents, 2018
2017
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017
2016
ACM Trans. Web, 2016
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
IEEE Comput. Intell. Mag., 2014
2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
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
2007
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
2006
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