Hengjie Song

According to our database, Hengjie Song authored at least 47 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Automated Dominative Subspace Mining for Efficient Neural Architecture Search.

Yaofo Chen, Yong Guo, Daihai Liao, Fanbing Lv, Hengjie Song, James Tin-Yau Kwok, Mingkui Tan

IEEE Trans. Circuits Syst. Video Technol., October, 2024

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

Qianyu Li, Bozheng Feng, Xiaoli Tang, Han Yu, Hengjie Song

Neural Networks, 2024

ConCPDP: A Cross-Project Defect Prediction Method Integrating Contrastive Pretraining and Category Boundary Adjustment.

Hengjie Song, Yufei Pan, Feng Guo, Xue Zhang, Le Ma, Siyu Jiang

IET Softw., 2024

Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process.

Qianyu Li, Jiebin Chen, Xiaoli Tang, Han Yu, Hengjie Song

Proceedings of the International Joint Conference on Neural Networks, 2024

FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization.

Qianyu Li, Xiaoli Tang, Siyao Zhou, Han Yu, Hengjie Song, Lizhen Cui, Xiaoxiao Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation.

Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Adversarial domain adaptation for cross-project defect prediction.

Hengjie Song, Guobin Wu, Le Ma, Yufei Pan, Qingan Huang, Siyu Jiang

Empir. Softw. Eng., October, 2023

Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion.

Qianyu Li, Jiale Yao, Xiaoli Tang, Han Yu, Siyu Jiang, Haizhi Yang, Hengjie Song

Neural Networks, July, 2023

A multimodal approach for improving market price estimation in online advertising.

Tengyun Wang, Haizhi Yang, Yang Liu, Han Yu, Hengjie Song

Knowl. Based Syst., April, 2023

Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings.

Haizhi Yang, Tengyun Wang, Xiaoli Tang, Han Yu, Fei Liu, Hengjie Song

IEEE Trans. Knowl. Data Eng., 2023

Responsible and Effective Federated Learning in Financial Services: A Comprehensive Survey.

Yueyue Shi, Hengjie Song, Jun Xu

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach.

Yonghui Xu, Shengjie Sun, Huiguo Zhang, Chang'an Yi, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Huaqing Min, Hengjie Song, Chuanyan Miao

ACM Trans. Knowl. Discov. Data, 2022

Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising.

Tengyun Wang, Haizhi Yang, Siyu Jiang, Yueyue Shi, Qianyu Li, Xiaoli Tang, Han Yu, Hengjie Song

Knowl. Based Syst., 2022

A cross-project defect prediction method based on multi-adaptation and nuclear norm.

Qingan Huang, Le Ma, Siyu Jiang, Guobin Wu, Hengjie Song, Libiao Jiang, Chunyun Zheng

IET Softw., 2022

Automatic Subspace Evoking for Efficient Neural Architecture Search.

Yaofo Chen, Yong Guo, Daihai Liao, Fanbing Lv, Hengjie Song, Mingkui Tan

CoRR, 2022

2021

Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training.

Yunxuan Wei, Shuhang Gu, Yawei Li, Radu Timofte, Longcun Jin, Hengjie Song

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.

Haizhi Yang, Tengyun Wang, Xiaoli Tang, Qianyu Li, Yueyue Shi, Siyu Jiang, Han Yu, Hengjie Song

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.

Yonghui Xu, Chunyan Miao, Yong Liu, Hengjie Song, Yi Hu, Huaqing Min

Neurocomputing, 2020

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

Yonghui Xu, Shengjie Sun, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Hengjie Song, Chuanyan Miao

CoRR, 2020

Timespan-Aware Dynamic Knowledge Graph Embedding by Incorporating Temporal Evolution.

Xiaoli Tang, Rui Yuan, Qianyu Li, Tengyun Wang, Haizhi Yang, Yundong Cai, Hengjie Song

IEEE Access, 2020

2019

Combining Part-of-Speech Tags and Self-Attention Mechanism for Simile Recognition.

Pengfei Zhang, Yi Cai, Junying Chen, Wenhao Chen, Hengjie Song

IEEE Access, 2019

A Revenue-Maximizing Bidding Strategy for Demand-Side Platforms.

Tengyun Wang, Haizhi Yang, Han Yu, Wenjun Zhou, Yang Liu, Hengjie Song

IEEE Access, 2019

Unifying Task-Oriented Knowledge Graph Learning and Recommendation.

Qianyu Li, Xiaoli Tang, Tengyun Wang, Haizhi Yang, Hengjie Song

IEEE Access, 2019

Multi-Label Metric Transfer Learning Jointly Considering Instance Space and Label Space Distribution Divergence.

Siyu Jiang, Yonghui Xu, Tengyun Wang, Haizhi Yang, Shaojian Qiu, Han Yu, Hengjie Song

IEEE Access, 2019

AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation.

Xiaoli Tang, Tengyun Wang, Haizhi Yang, Hengjie Song

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.

Siyu Jiang, Yonghui Xu, Hengjie Song, Qingyao Wu, Michael K. Ng, Huaqing Min, Shaojian Qiu

Neurocomputing, 2018

Modeling biological systems with uncertain kinetic data using fuzzy continuous Petri nets.

Fei Liu, Siyuan Chen, Monika Heiner, Hengjie Song

BMC Syst. Biol., 2018

Artificial Intelligence Powered MOOCs: A Brief Survey.

Simon Fauvel, Han Yu, Chunyan Miao, Lizhen Cui, Hengjie Song, Liang Zhang, Xiaoming Li, Cyril Leung

Proceedings of the IEEE International Conference on Agents, 2018

2017

A Unified Framework for Metric Transfer Learning.

Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song

IEEE Trans. Knowl. Data Eng., 2017

ABCGA Algorithm for the Two Echelon Vehicle Routing Problem.

Xiaoling Zhong, Siyu Jiang, Hengjie Song

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016

Individual Judgments Versus Consensus: Estimating Query-URL Relevance.

Hengjie Song, Yonghui Xu, Huaqing Min, Qingyao Wu, Wei Wei, Jianshu Weng, Xiaogang Han, Qiang Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao, Toyoaki Nishida

ACM Trans. Web, 2016

ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification.

Qingyao Wu, Mingkui Tan, Hengjie Song, Jian Chen, Michael K. Ng

IEEE Trans. Knowl. Data Eng., 2016

Multi-instance multi-label distance metric learning for genome-wide protein function prediction.

Yonghui Xu, Huaqing Min, Hengjie Song, Qingyao Wu

Comput. Biol. Chem., 2016

2015

Synthetic Evidential Study as Augmented Collective Thought Process - Preliminary Report.

Toyoaki Nishida, Masakazu Abe, Takashi Ookaki, Divesh Lala, Sutasinee Thovutikul, Hengjie Song, Yasser F. O. Mohammad, Christian Nitschke, Yoshimasa Ohmoto, Atsushi Nakazawa, Takaaki Shochi, Jean-Luc Rouas, Aurélie Bugeau, Fabien Lotte, Zuheng Ming, Geoffrey Letournel, Marine Guerry, Dominique Fourer

Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2014

Context-Aware Personal Information Retrieval From Multiple Social Networks.

Xiaogang Han, Wei Wei, Chunyan Miao, Jian-Ping Mei, Hengjie Song

IEEE Comput. Intell. Mag., 2014

2013

Utilizing URLs Position to Estimate Intrinsic Query-URL Relevance.

Xiaogang Han, Wenjun Zhou, Xing Jiang, Hengjie Song, Ming Zhong, Toyoaki Nishida

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

A Mouse-Trajectory Based Model for Predicting Query-URL Relevance.

Hengjie Song, Ruoxue Liao, Xiangliang Zhang, Chunyan Miao, Qiang Yang

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

A probabilistic fuzzy approach to modeling nonlinear systems.

Hengjie Song, Chunyan Miao, Zhiqi Shen, Roel Wuyts, Maja D'Hondt, Francky Catthoor

Neurocomputing, 2011

Generating True Relevance Labels in Chinese Search Engine Using Clickthrough Data.

Hengjie Song, Chunyan Miao, Zhiqi Shen

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Learning algorithms in fuzzy cognitive maps

Hengjie Song

PhD thesis, 2010

Implementation of Fuzzy Cognitive Maps Based on Fuzzy Neural Network and Application in Prediction of Time Series.

Hengjie Song, Chunyan Miao, Roel Wuyts, Zhiqi Shen, Francky Catthoor

IEEE Trans. Fuzzy Syst., 2010

Design of fuzzy cognitive maps using neural networks for predicting chaotic time series.

Hengjie Song, Chunyan Miao, Zhiqi Shen, Roel Wuyts, Maja D'Hondt, Francky Catthoor

Neural Networks, 2010

2009

A fuzzy neural network with fuzzy impact grades.

Hengjie Song, Chunyan Miao, Zhiqi Shen, Yuan Miao, Bu-Sung Lee

Neurocomputing, 2009

2007

The Multi-Agent Data Collection in HLA-Based Simulation System.

Hengjie Song, Zhiqi Shen, Chunyan Miao, Ah-Hwee Tan, Guopeng Zhao

Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation, 2007

Fuzzy cognitive map learning based on multi-objectiveparticle swarm optimization.

Hengjie Song, Chunyan Miao, Zhiqi Shen

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006

Probabilistic Fuzzy Cognitive Map.

Hengjie Song, Zhiqi Shen, Chunyan Miao, Zhi-Qiang Liu, Yuan Miao

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.

Hengjie Song, Ping Ma, Ming Yang

Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005