Yang Yang

According to our database, Yang Yang authored at least 39 papers between 2015 and 2024.

Collaborative distances:

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

2024

Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation.

Yang Yang, Chubing Zhang, Xin Song, Zheng Dong, Hengshu Zhu, Wenjie Li

ACM Trans. Inf. Syst., March, 2024

Exploiting Cross-Modal Prediction and Relation Consistency for Semisupervised Image Captioning.

Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang

IEEE Trans. Cybern., February, 2024

2023

MrTF: model refinery for transductive federated learning.

Xin-Chun Li, Yang Yang, De-Chuan Zhan

Data Min. Knowl. Discov., September, 2023

Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling.

Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang, Jian Yang

IEEE Trans. Knowl. Data Eng., April, 2023

Learning Adaptive Embedding Considering Incremental Class.

Yang Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Yuanchun Zhou, Hui Xiong, Jian Yang

IEEE Trans. Knowl. Data Eng., March, 2023

Corporate Relative Valuation Using Heterogeneous Multi-Modal Graph Neural Network.

Yang Yang, Jia-Qi Yang, Ran Bao, De-Chuan Zhan, Hengshu Zhu, Xiaoru Gao, Hui Xiong, Jian Yang

IEEE Trans. Knowl. Data Eng., 2023

Prior Knowledge-Guided Transformer for Remote Sensing Image Captioning.

Lingwu Meng, Jing Wang, Yang Yang, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2023

COURIER: Contrastive User Intention Reconstruction for Large-Scale Pre-Train of Image Features.

Jia-Qi Yang, Chenglei Dai, Dan Ou, Ju Huang, De-Chuan Zhan, Qingwen Liu, Xiaoyi Zeng, Yang Yang

CoRR, 2023

IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics.

Jia-Qi Yang, Yucheng Xu, Jia-Lei Shen, Ke-Bin Fan, De-Chuan Zhan, Yang Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Design and Implementation of a Two-Limbed 3T1R Haptic Device.

Long Kang, Yang Yang, Byung-Ju Yi

IROS, 2023

2022

Learning to Classify With Incremental New Class.

Da-Wei Zhou, Yang Yang, De-Chuan Zhan

IEEE Trans. Neural Networks Learn. Syst., 2022

S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification.

Yang Yang, Hongchen Wei, Zhen-Qiang Sun, Guangyu Li, Yuanchun Zhou, Hui Xiong, Jian Yang

ACM Trans. Knowl. Discov. Data, 2022

DOMFN: A Divergence-Orientated Multi-Modal Fusion Network for Resume Assessment.

Yang Yang, Jingshuai Zhang, Fan Gao, Xiaoru Gao, Hengshu Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Semi-Supervised Multi-Modal Clustering and Classification with Incomplete Modalities.

Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Zhi-Bin Liu, Hui Xiong, Yuan Jiang

IEEE Trans. Knowl. Data Eng., 2021

Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport.

Yang Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang

IEEE Trans. Knowl. Data Eng., 2021

Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning.

Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang

CoRR, 2021

Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching.

Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, Hui Xiong

Proceedings of the WWW '21: The Web Conference 2021, 2021

Detecting Sequentially Novel Classes with Stable Generalization Ability.

Da-Wei Zhou, Yang Yang, De-Chuan Zhan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

A Three-Fingered Adaptive Gripper with Multiple Grasping Modes.

Long Kang, Yang Yang, Jian Yang, Byung-Ju Yi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective.

Yang Yang, Chubing Zhang, Yi-Chu Xu, Dianhai Yu, De-Chuan Zhan, Jian Yang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Complementary Fusion of Deep Network and Tree Model for ETA Prediction.

YuRui Huang, Jie Zhang, HengDa Bao, Yang Yang, Jian Yang

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020

Learning Adaptive Embedding Considering Incremental Class.

Yang Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Hui Xiong, Jian Yang

CoRR, 2020

S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification.

Yang Yang, Zhen-Qiang Sun, Hui Xiong, Jian Yang

CoRR, 2020

A semi-supervised attention model for identifying authentic sneakers.

Yang Yang, Nengjun Zhu, Yi-Feng Wu, Jian Cao, De-Chuan Zhan, Hui Xiong

Big Data Min. Anal., 2020

Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation.

Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

2019

Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability.

Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Comprehensive Semi-Supervised Multi-Modal Learning.

Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

An Integrated Multimodal Attention-Based Approach for Bank Stress Test Prediction.

Farid Razzak, Fei Yi, Yang Yang, Hui Xiong

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Deep Robust Unsupervised Multi-Modal Network.

Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep Multi-modal Learning with Cascade Consensus.

Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Yuan Jiang

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Multi-network User Identification via Graph-Aware Embedding.

Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Yuan Jiang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport.

Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Semi-Supervised Multi-Modal Learning with Incomplete Modalities.

Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng, Yuan Jiang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Semantic Features for Software Defect Prediction by Code Comments Embedding.

Xuan Huo, Yang Yang, Ming Li, De-Chuan Zhan

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Modal Consistency based Pre-Trained Multi-Model Reuse.

Yang Yang, De-Chuan Zhan, Xiang-Yu Guo, Yuan Jiang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Instance Specific Discriminative Modal Pursuit: A Serialized Approach.

Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang

Proceedings of The 9th Asian Conference on Machine Learning, 2017

Deep Learning for Fixed Model Reuse.

Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Learning by Actively Querying Strong Modal Features.

Yang Yang, De-Chuan Zhan, Yuan Jiang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Auxiliary Information Regularized Machine for Multiple Modality Feature Learning.

Yang Yang, Han-Jia Ye, De-Chuan Zhan, Yuan Jiang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015