Yang Yang

Orcid: 0000-0002-5058-4417

Affiliations:
  • Zhejiang University, Department of Computer Science and Technology, Hangzhou, China (since 2018)
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China (PhD 2016)
  • Wuhan University, International School of Software, Wuhan, China (2007 - 2011)


According to our database1, Yang Yang authored at least 120 papers between 2010 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Finding Camouflaged Objects Along the Camouflage Mechanisms.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Feature Calibrating and Fusing Network for RGB-D Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol., March, 2024

End-to-End Prediction of EGFR Mutation Status With Denseformer.
IEEE J. Biomed. Health Informatics, January, 2024

Salient Object Detection From Arbitrary Modalities.
IEEE Trans. Image Process., 2024

Task sub-type states decoding via group deep bidirectional recurrent neural network.
Medical Image Anal., 2024

Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography.
Medical Image Anal., 2024

Lightweight cross-modal transformer for RGB-D salient object detection.
Comput. Vis. Image Underst., 2024

BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data.
CoRR, 2024

Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification.
CoRR, 2024

Exploring Correlations of Self-Supervised Tasks for Graphs.
CoRR, 2024

Modality Prompts for Arbitrary Modality Salient Object Detection.
CoRR, 2024

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations.
CoRR, 2024

Brant-2: Foundation Model for Brain Signals.
CoRR, 2024

Are Synthetic Time-series Data Really not as Good as Real Data?
CoRR, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.
CoRR, 2024

Weakly supervised point cloud segmentation via deep morphological semantic information embedding.
CAAI Trans. Intell. Technol., 2024

Boosting graph search with attention network for solving the general orienteering problem.
AI Open, 2024

How to generate popular post headlines on social media?
AI Open, 2024

Can GNN be Good Adapter for LLMs?
Proceedings of the ACM on Web Conference 2024, 2024

Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph.
Proceedings of the ACM on Web Conference 2024, 2024

Brant-X: A Unified Physiological Signal Alignment Framework.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Chromosomal Structural Abnormality Diagnosis by Homologous Similarity.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Can Modifying Data Address Graph Domain Adaptation?
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DWLR: Domain Adaptation under Label Shift for Wearable Sensor.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Disentangling Domain and General Representations for Time Series Classification.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Exploring Correlations of Self-Supervised Tasks for Graphs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fast Updating Truncated SVD for Representation Learning with Sparse Matrices.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Fair Graph Federated Learning via Incentive Mechanisms.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Self-Supervised Interactive Embedding for One-Shot Organ Segmentation.
IEEE Trans. Biomed. Eng., October, 2023

Who's Next: Rising Star Prediction via Diffusion of User Interest in Social Networks.
IEEE Trans. Knowl. Data Eng., May, 2023

A unified network embedding algorithm for multi-type similarity measures.
AI Open, January, 2023

NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., 2023

Time2Graph+: Bridging Time Series and Graph Representation Learning via Multiple Attentions.
IEEE Trans. Knowl. Data Eng., 2023

GraphLLM: Boosting Graph Reasoning Ability of Large Language Model.
CoRR, 2023

Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs.
CoRR, 2023

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model.
CoRR, 2023

Breaking the Curse of Quality Saturation with User-Centric Ranking.
CoRR, 2023

CogDL: A Comprehensive Library for Graph Deep Learning.
Proceedings of the ACM Web Conference 2023, 2023

Brant: Foundation Model for Intracranial Neural Signal.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

When to Pre-Train Graph Neural Networks? From Data Generation Perspective!
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MediaHG: Rethinking Eye-catchy Features in Social Media Headline Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DropMessage: Unifying Random Dropping for Graph Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Employing Bilinear Fusion and Saliency Prior Information for RGB-D Salient Object Detection.
IEEE Trans. Multim., 2022

Robust Network Enhancement From Flawed Networks.
IEEE Trans. Knowl. Data Eng., 2022

Network Embedding via Motifs.
ACM Trans. Knowl. Discov. Data, 2022

Bi-Directional Progressive Guidance Network for RGB-D Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2022

Exploring rich intermediate representations for reconstructing 3D shapes from 2D images.
Pattern Recognit., 2022

MMGA: Multimodal Learning with Graph Alignment.
CoRR, 2022

Prompt Tuning for Graph Neural Networks.
CoRR, 2022

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection.
CoRR, 2022

Who is next: rising star prediction via diffusion of user interest in social networks.
CoRR, 2022

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Can Abnormality be Detected by Graph Neural Networks?
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Progressive Framework for Role-Aware Rumor Resolution.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Unsupervised Adversarially Robust Representation Learning on Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks.
IEEE Trans. Knowl. Data Eng., 2021

Weakly-Supervised Learning of Category-Specific 3D Object Shapes.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Boosting Graph Search with Attention Network for Solving the General Orienteering Problem.
CoRR, 2021

CNA2Subpathway: identification of dysregulated subpathway driven by copy number alterations in cancer.
Briefings Bioinform., 2021

Robustness of deep learning models on graphs: A survey.
AI Open, 2021

Time-Series Event Prediction with Evolutionary State Graph.
Proceedings of the WSDM '21, 2021

How Powerful are Interest Diffusion on Purchasing Prediction: A Case Study of Taocode.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Disentangling Deep Network for Reconstructing 3D Object Shapes from Single 2D Images.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Hierarchical and Global Modality Interaction for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

A Comprehensive CT Dataset for Liver Computer Assisted Diagnosis.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Query-free Black-box Adversarial Attacks on Graphs.
CoRR, 2020

Unsupervised Adversarially-Robust Representation Learning on Graphs.
CoRR, 2020

Understanding Electricity-Theft Behavior via Multi-Source Data.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

BERT-INT: A BERT-based Interaction Model For Knowledge Graph Alignment.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Modeling Combinatorial Evolution in Time Series Prediction.
CoRR, 2019

Capturing Evolution Genes for Time Series Data.
CoRR, 2019

Learning Fair Representations via an Adversarial Framework.
CoRR, 2019

How Do Your Neighbors Disclose Your Information: Social-Aware Time Series Imputation.
Proceedings of the World Wide Web Conference, 2019

What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings.
Proceedings of the World Wide Web Conference, 2019

Understanding Default Behavior in Online Lending.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks.
IEEE Trans. Multim., 2018

Learning to Infer Competitive Relationships in Heterogeneous Networks.
ACM Trans. Knowl. Discov. Data, 2018

RaRE: Social Rank Regulated Large-scale Network Embedding.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Dynamic Network Embedding by Modeling Triadic Closure Process.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Representation Learning for Scale-Free Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
User Modeling on Demographic Attributes in Big Mobile Social Networks.
ACM Trans. Inf. Syst., 2017

Inferring Emotional Tags From Social Images With User Demographics.
IEEE Trans. Multim., 2017

Representation Learning for Scale-free Networks.
CoRR, 2017

Detecting Temporal Proposal for Action Localization with Tree-structured Search Policy.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Learning Category-Specific 3D Shape Models from Weakly Labeled 2D Images.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
BigNet 2016: First Workshop on Big Network Analytics.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Social Role-Aware Emotion Contagion in Image Social Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Modeling the Interplay Between Individual Behavior and Network Distributions.
CoRR, 2015

The Evolution of Social Relationships and Strategies Across the Lifespan.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Entity Matching across Heterogeneous Sources.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Understanding the emotions behind social images: Inferring with user demographics.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Beyond Query: Interactive User Intention Understanding.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

RAIN: Social Role-Aware Information Diffusion.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Exploiting small world property for network clustering.
World Wide Web, 2014

Inferring Emotions from Social Images Leveraging Influence Analysis.
Proceedings of the Social Media Processing - Third National Conference, 2014

Predicting Health Care Risk with Big Data Drawn from Clinical Physiological Parameters.
Proceedings of the Social Media Processing - Third National Conference, 2014

Inferring user demographics and social strategies in mobile social networks.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Forecasting Potential Diabetes Complications.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

How Do Your Friends on Social Media Disclose Your Emotions?
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
SAE: social analytic engine for large networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
PatentMiner: topic-driven patent analysis and mining.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Mining competitive relationships by learning across heterogeneous networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2010
Refining Graph Partitioning for Social Network Clustering.
Proceedings of the Web Information Systems Engineering - WISE 2010, 2010


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