Jing Jiang

Orcid: 0000-0001-5301-7779

Affiliations:

University of Technology Sydney, Australia

According to our database¹, Jing Jiang authored at least 115 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

False Correlation Reduction for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Federated Foundation Models on Heterogeneous Time Series.

[BibT_eX]

[DOI]

CoRR, 2024

Personalized Item Representations in Federated Multimodal Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents.

[BibT_eX]

[DOI]

CoRR, 2024

Influence-oriented Personalized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Personalized Interpretation on Federated Learning: A Virtual Concepts approach.

[BibT_eX]

[DOI]

CoRR, 2024

Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Level Additive Modeling for Structured Non-IID Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Dual-Personalizing Adapter for Federated Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Federated Prompt Learning for Weather Foundation Models on Devices.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification.

[BibT_eX]

[DOI]

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering.

[BibT_eX]

[DOI]

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

Attentional Gated Res2Net for Multivariate Time Series Classification.

[BibT_eX]

[DOI]

Neural Process. Lett., April, 2023

Multi-center federated learning: clients clustering for better personalization.

[BibT_eX]

[DOI]

World Wide Web (WWW), January, 2023

Causal Reinforcement Learning: A Survey.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution.

[BibT_eX]

[DOI]

CoRR, 2023

Causal Reinforcement Learning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Spatial-temporal Prompt Learning for Federated Weather Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Structured Federated Learning through Clustered Additive Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Does Continual Learning Equally Forget All Parameters?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Continual Task Allocation in Meta-Policy Network via Sparse Prompting.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Adaptive Policy Learning for Offline-to-Online Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Extracting Local Reasoning Chains of Deep Neural Networks.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

CCPrompt: Counterfactual Contrastive Prompt-Tuning for Many-Class Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Video Domain Adaptation: A Disentanglement Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels.

[BibT_eX]

[DOI]

CoRR, 2022

Personalized Federated Learning With Structure.

[BibT_eX]

[DOI]

CoRR, 2022

On the Convergence of Clustered Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Federated Learning from Pre-Trained Models: A Contrastive Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Personalized Federated Learning With a Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Pareto Policy Pool for Model-based Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Positive Unlabeled Learning by Semi-Supervised Learning.

[BibT_eX]

[DOI]

Zhuowei Wang

Jing Jiang

Guodong Long

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

BiES: Adaptive Policy Optimization for Model-Based Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Machine Teaching-Based Efficient Labelling for Cross-unit Healthcare Data Modelling.

[BibT_eX]

[DOI]

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Predicting Outcomes for Cancer Patients with Transformer-Based Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

FedProto: Federated Prototype Learning across Heterogeneous Clients.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task.

[BibT_eX]

[DOI]

Neural Networks, 2021

MHieR-encoder: Modelling the high-frequency changes across stocks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning.

[BibT_eX]

[DOI]

CoRR, 2021

IMBENS: Ensemble Class-imbalanced Learning in Python.

[BibT_eX]

[DOI]

CoRR, 2021

SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health.

[BibT_eX]

[DOI]

CoRR, 2021

Federated Learning for Open Banking.

[BibT_eX]

[DOI]

CoRR, 2021

FedProto: Federated Prototype Learning over Heterogeneous Devices.

[BibT_eX]

[DOI]

CoRR, 2021

CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Isometric Propagation Network for Generalized Zero-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

A Universal Representation Transformer Layer for Few-Shot Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Sequential Diagnosis Prediction with Transformer and Ontological Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Generalized Test Suite for Continuous Dynamic Multi-objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

A Green Pipeline for Out-of-Domain Public Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Intention Recognition from Spatio-Temporal Representation of EEG Signals.

[BibT_eX]

[DOI]

Proceedings of the Databases Theory and Applications, 2021

2020

Federated Learning for Open Banking.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning - Privacy and Incentive, 2020

Decentralized Knowledge Acquisition for Mobile Internet Applications.

[BibT_eX]

[DOI]

Jing Jiang

Shaoxiong Ji

Guodong Long

World Wide Web, 2020

Learning Graph Embedding With Adversarial Training Methods.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Multi-Center Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline.

[BibT_eX]

[DOI]

CoRR, 2020

Self-attention Enhanced Patient Journey Understanding in Healthcare System.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Confusable Learning for Large-Class Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Cooperative Heterogeneous Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Competitive and Cooperative Heterogeneous Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Attribute Propagation Network for Graph Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Going Deep: Graph Convolutional Ladder-Shape Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2019

Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering.

[BibT_eX]

[DOI]

CoRR, 2019

Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care.

[BibT_eX]

[DOI]

CoRR, 2019

Learning to Propagate for Graph Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Learning Private Neural Language Modeling with Attentive Aggregation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

DAGCN: Dual Attention Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

[BibT_eX]

[DOI]

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

Attributed Graph Clustering: A Deep Attentional Embedding Approach.

[BibT_eX]

[DOI]

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

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph.

[BibT_eX]

[DOI]

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

Temporal Self-Attention Network for Medical Concept Embedding.

[BibT_eX]

[DOI]

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

Detecting Suicidal Ideation with Data Protection in Online Communities.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2019

2018

Fast Directional Self-Attention Mechanism.

[BibT_eX]

[DOI]

CoRR, 2018

Adversarially Regularized Graph Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2018

Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Cross-Domain Deep Learning Approach For Multiple Financial Market Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling.

[BibT_eX]

[DOI]

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

Adversarially Regularized Graph Autoencoder for Graph Embedding.

[BibT_eX]

[DOI]

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

Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

MGAE: Marginalized Graph Autoencoder for Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Graph Ladder Networks for Network Classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Co-clustering enterprise social networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Evolutionary lazy learning for Naive Bayes classification.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Optimised auto-scaling for cloud-based web service

[BibT_eX]

[DOI]

Jing Jiang

PhD thesis, 2015

2013

Optimal Cloud Resource Auto-Scaling for Web Applications.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

Graph Based Feature Augmentation for Short and Sparse Text Classification.

[BibT_eX]

[DOI]

Guodong Long

Jing Jiang

Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

2011

Scaling-Up Item-Based Collaborative Filtering Recommendation Algorithm Based on Hadoop.

[BibT_eX]

[DOI]

Proceedings of the World Congress on Services, 2011

An Innovative Self-Adaptive Configuration Optimization System in Cloud Computing.

[BibT_eX]

[DOI]

Jing Jiang

Jie Lu

Guangquan Zhang

Proceedings of the IEEE Ninth International Conference on Dependable, 2011

Jing Jiang

Timeline

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