Yang Yang

Orcid: 0000-0002-5245-3584

Affiliations:
  • Nanjing University of Science and Technology, School of Computer Science and Engineering, China
  • Nanjing University, National Key Laboratory for Novel Software Technology, Nanjing, China (former)


According to our database1, Yang Yang authored at least 100 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
AOE: Exhaustive Out-of-Distribution Detection via Recalibrating Outlier Labels.
CoRR, May, 2026

Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation.
CoRR, February, 2026

MirrorCAPTCHA: Wild CAPTCHA, Wild Distribution, Wild Web-based Platform Meet Multimodal LLM Agents.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Shaping Parameter Contribution Patterns for Out-of-Distribution Detection.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
COURIER: contrastive user intention reconstruction for large-scale visual recommendation.
Frontiers Comput. Sci., July, 2025

Learning to Rebalance Multi-Modal Optimization by Adaptively Masking Subnetworks.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer.
ACM Trans. Knowl. Discov. Data, January, 2025

U<sup>2</sup>DP: Unlocking Unlabeled Data Potential for Semi-Supervised Remote Sensing Image Captioning.
IEEE Trans. Geosci. Remote. Sens., 2025

Detail-Aware Network for Infrared Image Enhancement.
IEEE Trans. Geosci. Remote. Sens., 2025

Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Text as Any-Modality for Zero-Shot Classification by Consistent Prompt Tuning.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Noise Self-Correction via Relation Propagation for Robust Cross-Modal Retrieval.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Towards Equilibrium: An Instantaneous Probe-and-Rebalance Multimodal Learning Approach.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Interactive Multimodal Learning via Flat Gradient Modification.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Balance-Aware Sequence Sampling Makes Multi-Modal Learning Better.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Multi-Label Test-Time Adaptation with Bound Entropy Minimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Prompt Learning with Text-Augmented Cues for Out-of-Distribution Detection.
Proceedings of the IEEE International Conference on Data Mining, 2025

Feature Drift Oriented Distribution Reconstruction for Imbalanced Class Incremental Learning.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Robust Semi-Supervised Learning by Wisely Leveraging Open-Set Data.
IEEE Trans. Pattern Anal. Mach. Intell., December, 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

Rebalanced Vision-Language Retrieval Considering Structure-Aware Distillation.
IEEE Trans. Image Process., 2024

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

The Solution for Single Object Tracking Task of Perception Test Challenge 2024.
CoRR, 2024

Solution for OOD-CV UNICORN Challenge 2024 Object Detection Assistance LLM Counting Ability Improvement.
CoRR, 2024

Solution for Point Tracking Task of ECCV 2nd Perception Test Challenge 2024.
CoRR, 2024

The Solution for the 5th GCAIAC Zero-shot Referring Expression Comprehension Challenge.
CoRR, 2024

The Solution for the sequential task continual learning track of the 2nd Greater Bay Area International Algorithm Competition.
CoRR, 2024

The Solution for Language-Enhanced Image New Category Discovery.
CoRR, 2024

The Solution for the AIGC Inference Performance Optimization Competition.
CoRR, 2024

Multimodal Classification via Modal-Aware Interactive Enhancement.
CoRR, 2024

Second Place Solution of WSDM2023 Toloka Visual Question Answering Challenge.
CoRR, 2024

The Solution for the GAIIC2024 RGB-TIR object detection Challenge.
CoRR, 2024

The Solution for Temporal Sound Localisation Task of ICCV 1st Perception Test Challenge 2023.
CoRR, 2024

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

First Place Solution of 2023 Global Artificial Intelligence Technology Innovation Competition Track 1.
CoRR, 2024

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

Low-light Object Detection.
CoRR, 2024

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

The Solution for the ICCV 2023 1st Scientific Figure Captioning Challenge.
CoRR, 2024

Completing Saliency from Details.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Facilitating Multimodal Classification via Dynamically Learning Modality Gap.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

TabMedBERT: A Tabular Knowledge Enhanced Biomedical Pretrained Language Model.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024


Refining Visual Perception for Decoration Display: A Self-Enhanced Deep Captioning Model.
Proceedings of the Asian Conference on Machine Learning, 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

The Solution for the CVPR2023 NICE Image Captioning Challenge.
CoRR, 2023

Solution for SMART-101 Challenge of ICCV Multi-modal Algorithmic Reasoning Task 2023.
CoRR, 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

KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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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