Yang Yang

Orcid: 0000-0002-5245-3584

Affiliations:
  • Nanjing University, National Key Laboratory for Novel Software Technology, Nanjing, China


According to our database1, Yang Yang authored at least 57 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes.
IEEE Trans. Knowl. Data Eng., November, 2024

Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation.
ACM Trans. Inf. Syst., March, 2024

Exploiting Cross-Modal Prediction and Relation Consistency for Semisupervised Image Captioning.
IEEE Trans. Cybern., February, 2024

A Multiscale Grouping Transformer With CLIP Latents for Remote Sensing Image Captioning.
IEEE Trans. Geosci. Remote. Sens., 2024

Proposal Report for the 2nd SciCAP Competition 2024.
CoRR, 2024

The Solution for CVPR2024 Foundational Few-Shot Object Detection Challenge.
CoRR, 2024

Robust Semi-supervised Learning by Wisely Leveraging Open-set Data.
CoRR, 2024

Low-light Object Detection.
CoRR, 2024

Learning to Rebalance Multi-Modal Optimization by Adaptively Masking Subnetworks.
CoRR, 2024

JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer.
CoRR, 2024

Solution for Point Tracking Task of ICCV 1st Perception Test Challenge 2023.
CoRR, 2024

The Solution for the CVPR 2023 1st foundation model challenge-Track2.
CoRR, 2024

Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CoVLR: Coordinating Cross-Modal Consistency and Intra-Modal Relations for Vision-Language Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
Deep visual-linguistic fusion network considering cross-modal inconsistency for rumor detection.
Sci. China Inf. Sci., December, 2023

MrTF: model refinery for transductive federated learning.
Data Min. Knowl. Discov., September, 2023

Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling.
IEEE Trans. Knowl. Data Eng., April, 2023

Learning Adaptive Embedding Considering Incremental Class.
IEEE Trans. Knowl. Data Eng., March, 2023

Corporate Relative Valuation Using Heterogeneous Multi-Modal Graph Neural Network.
IEEE Trans. Knowl. Data Eng., 2023

Prior Knowledge-Guided Transformer for Remote Sensing Image Captioning.
IEEE Trans. Geosci. Remote. Sens., 2023

COURIER: Contrastive User Intention Reconstruction for Large-Scale Pre-Train of Image Features.
CoRR, 2023

On Transferring Expert Knowledge from Tabular Data to Images.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

QTIAH-GNN: Quantity and Topology Imbalance-aware Heterogeneous Graph Neural Network for Bankruptcy Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Design and Implementation of a Two-Limbed 3T1R Haptic Device.
IROS, 2023

Robust Semi-Supervised Learning for Self-learning Open-World Classes.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Learning to Classify With Incremental New Class.
IEEE Trans. Neural Networks Learn. Syst., 2022

S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification.
ACM Trans. Knowl. Discov. Data, 2022

DOMFN: A Divergence-Orientated Multi-Modal Fusion Network for Resume Assessment.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Semi-Supervised Multi-Modal Clustering and Classification with Incomplete Modalities.
IEEE Trans. Knowl. Data Eng., 2021

Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport.
IEEE Trans. Knowl. Data Eng., 2021

Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning.
CoRR, 2021

Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Detecting Sequentially Novel Classes with Stable Generalization Ability.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

A Three-Fingered Adaptive Gripper with Multiple Grasping Modes.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Complementary Fusion of Deep Network and Tree Model for ETA Prediction.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020
Learning Adaptive Embedding Considering Incremental Class.
CoRR, 2020

S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification.
CoRR, 2020

A semi-supervised attention model for identifying authentic sneakers.
Big Data Min. Anal., 2020

Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation.
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.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Comprehensive Semi-Supervised Multi-Modal Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

An Integrated Multimodal Attention-Based Approach for Bank Stress Test Prediction.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Deep Robust Unsupervised Multi-Modal Network.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Deep Multi-modal Learning with Cascade Consensus.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Multi-network User Identification via Graph-Aware Embedding.
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.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Semi-Supervised Multi-Modal Learning with Incomplete Modalities.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Semantic Features for Software Defect Prediction by Code Comments Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Modal Consistency based Pre-Trained Multi-Model Reuse.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Instance Specific Discriminative Modal Pursuit: A Serialized Approach.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

Deep Learning for Fixed Model Reuse.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Learning by Actively Querying Strong Modal Features.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Auxiliary Information Regularized Machine for Multiple Modality Feature Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015


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