The application of evaluation method based on HMM for results validity of complex simulation system. - Hengjie Song; Ping Ma 003; Ming Yang 015 (WSC, 2005)

Probabilistic Fuzzy Cognitive Map. - Hengjie Song; Zhiqi Shen 001; Chunyan Miao; Zhi-Qiang Liu; Yuan Miao 001 (FUZZ-IEEE, 2006)

Fuzzy cognitive map learning based on multi-objectiveparticle swarm optimization. - Hengjie Song; Chunyan Miao; Zhiqi Shen 001 (GECCO, 2007)

The Multi-Agent Data Collection in HLA-Based Simulation System. - Hengjie Song; Zhiqi Shen 001; Chunyan Miao; Ah-Hwee Tan; Guopeng Zhao (PADS, 2007)

A fuzzy neural network with fuzzy impact grades. - Hengjie Song; Chunyan Miao; Zhiqi Shen 001; Yuan Miao 001; Bu-Sung Lee (Neurocomputing, 2009)

Design of fuzzy cognitive maps using neural networks for predicting chaotic time series. - Hengjie Song; Chunyan Miao; Zhiqi Shen 001; Roel Wuyts; Maja D'Hondt; Francky Catthoor (Neural Networks, 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 001; Francky Catthoor (IEEE Trans. Fuzzy Syst., 2010)

Learning algorithms in fuzzy cognitive maps - Hengjie Song (2010)

Generating True Relevance Labels in Chinese Search Engine Using Clickthrough Data. - Hengjie Song; Chunyan Miao; Zhiqi Shen 001 (AAAI, 2011)

A probabilistic fuzzy approach to modeling nonlinear systems. - Hengjie Song; Chunyan Miao; Zhiqi Shen 001; Roel Wuyts; Maja D'Hondt; Francky Catthoor (Neurocomputing, 2011)

A Mouse-Trajectory Based Model for Predicting Query-URL Relevance. - Hengjie Song; Ruoxue Liao; Xiangliang Zhang 001; Chunyan Miao; Qiang Yang 001 (AAAI, 2012)

Utilizing URLs Position to Estimate Intrinsic Query-URL Relevance. - Xiaogang Han; Wenjun Zhou 001; Xing Jiang 001; Hengjie Song; Ming Zhong; Toyoaki Nishida (ICDM, 2013)

Context-Aware Personal Information Retrieval From Multiple Social Networks. - Xiaogang Han; Wei Wei 002; Chunyan Miao; Jian-Ping Mei; Hengjie Song (IEEE Comput. Intell. Mag., 2014)

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; et al. (ACIIDS (1), 2015)

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)

ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification. - Qingyao Wu; Mingkui Tan; Hengjie Song; Jian Chen 011; Michael K. Ng 001 (IEEE Trans. Knowl. Data Eng., 2016)

Individual Judgments Versus Consensus: Estimating Query-URL Relevance. - Hengjie Song; Yonghui Xu; Huaqing Min; Qingyao Wu; Wei Wei 002; Jianshu Weng; Xiaogang Han; Qiang Yang 001; Jialiang Shi; Jiaqian Gu; Chunyan Miao; Toyoaki Nishida (ACM Trans. Web, 2016)

ABCGA Algorithm for the Two Echelon Vehicle Routing Problem. - Xiaoling Zhong; Siyu Jiang; Hengjie Song (CSE/EUC (1), 2017)

A Unified Framework for Metric Transfer Learning. - Yonghui Xu; Sinno Jialin Pan; Hui Xiong 001; Qingyao Wu; Ronghua Luo; Huaqing Min; Hengjie Song (IEEE Trans. Knowl. Data Eng., 2017)

Artificial Intelligence Powered MOOCs: A Brief Survey. - Simon Fauvel; Han Yu 001; Chunyan Miao; Lizhen Cui; Hengjie Song; Liang Zhang; Xiaoming Li 001; Cyril Leung (ICA, 2018)

Modeling biological systems with uncertain kinetic data using fuzzy continuous Petri nets. - Fei Liu 006; Siyuan Chen; Monika Heiner; Hengjie Song (BMC Syst. Biol., 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 001; Huaqing Min; Shaojian Qiu (Neurocomputing, 2018)

AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation. - Xiaoli Tang; Tengyun Wang; Haizhi Yang; Hengjie Song (KDD, 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 001; Hengjie Song (IEEE Access, 2019)

Unifying Task-Oriented Knowledge Graph Learning and Recommendation. - Qianyu Li 002; Xiaoli Tang 001; Tengyun Wang; Haizhi Yang; Hengjie Song (IEEE Access, 2019)

A Revenue-Maximizing Bidding Strategy for Demand-Side Platforms. - Tengyun Wang; Haizhi Yang; Han Yu 001; Wenjun Zhou 001; Yang Liu 165; Hengjie Song (IEEE Access, 2019)

Combining Part-of-Speech Tags and Self-Attention Mechanism for Simile Recognition. - Pengfei Zhang; Yi Cai 001; Junying Chen; Wenhao Chen 001; Hengjie Song (IEEE Access, 2019)

Timespan-Aware Dynamic Knowledge Graph Embedding by Incorporating Temporal Evolution. - Xiaoli Tang 001; Rui Yuan; Qianyu Li 002; Tengyun Wang; Haizhi Yang; Yundong Cai; Hengjie Song (IEEE Access, 2020)

Time-aware Graph Embedding: A temporal smoothness and task-oriented approach. - Yonghui Xu; Shengjie Sun; Yuan Miao 001; Dong Yang; Xiaonan Meng; Yi Hu; Ke Wang 001; Hengjie Song; Chuanyan Miao (CoRR, 2020)

Kernel-target alignment based non-linear metric learning. - Yonghui Xu; Chunyan Miao; Yong Liu 020; Hengjie Song; Yi Hu; Huaqing Min (Neurocomputing, 2020)

Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising. - Haizhi Yang; Tengyun Wang; Xiaoli Tang 001; Qianyu Li 002; Yueyue Shi; Siyu Jiang; Han Yu 001; Hengjie Song (CIKM, 2021)

Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training. - Yunxuan Wei; Shuhang Gu; Yawei Li 001; Radu Timofte; Longcun Jin; Hengjie Song (CVPR, 2021)

Automatic Subspace Evoking for Efficient Neural Architecture Search. - Yaofo Chen; Yong Guo; Daihai Liao; Fanbing Lv; Hengjie Song; Mingkui Tan (CoRR, 2022)

A cross-project defect prediction method based on multi-adaptation and nuclear norm. - Qingan Huang; Le Ma 003; Siyu Jiang; Guobin Wu; Hengjie Song; Libiao Jiang; Chunyun Zheng (IET Softw., 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 002; Xiaoli Tang 001; Han Yu 001; Hengjie Song (Knowl. Based Syst., 2022)

Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach. - Yonghui Xu; Shengjie Sun; Huiguo Zhang; Chang'an Yi; Yuan Miao 001; Dong Yang; Xiaonan Meng; Yi Hu; Ke Wang 001; Huaqing Min; Hengjie Song; Chuanyan Miao (ACM Trans. Knowl. Discov. Data, 2022)

Responsible and Effective Federated Learning in Financial Services: A Comprehensive Survey. - Yueyue Shi; Hengjie Song; Jun Xu (CDC, 2023)

Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings. - Haizhi Yang; Tengyun Wang; Xiaoli Tang 001; Han Yu 001; Fei Liu 006; Hengjie Song (IEEE Trans. Knowl. Data Eng., 2023)

A multimodal approach for improving market price estimation in online advertising. - Tengyun Wang; Haizhi Yang; Yang Liu 165; Han Yu 001; Hengjie Song (Knowl. Based Syst., 2023)

Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion. - Qianyu Li 002; Jiale Yao; Xiaoli Tang 001; Han Yu 001; Siyu Jiang; Haizhi Yang; Hengjie Song (Neural Networks, 2023)

Adversarial domain adaptation for cross-project defect prediction. - Hengjie Song; Guobin Wu; Le Ma 003; Yufei Pan; Qingan Huang; Siyu Jiang (Empir. Softw. Eng., 2023)

Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation. - Yaofo Chen; Shuaicheng Niu; Yaowei Wang 001; Shoukai Xu; Hengjie Song; Mingkui Tan (ICLR, 2024)

FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization. - Qianyu Li 002; Xiaoli Tang 001; Siyao Zhou 004; Han Yu 001; Hengjie Song; Lizhen Cui; Xiaoxiao Li (ICME, 2024)

Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process. - Qianyu Li 002; Jiebin Chen; Xiaoli Tang 001; Han Yu 001; Hengjie Song (IJCNN, 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 003; Siyu Jiang (IET Softw., 2024)

MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion. - Qianyu Li 002; Bozheng Feng; Xiaoli Tang 001; Han Yu 001; Hengjie Song (Neural Networks, 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., 2024)