Ling Chen

Orcid: 0000-0002-6468-5729

Affiliations:
  • University of Technology Sydney, Centre for Artificial Intelligence, Broadway, NSW, Australia
  • University of Hannover, L3S Research Center, Germany (former)
  • Nanyang Technological University, Singapore (PhD 2008)


According to our database1, Ling Chen authored at least 150 papers between 2004 and 2024.

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Bibliography

2024
Affinity Uncertainty-Based Hard Negative Mining in Graph Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Harnessing collective structure knowledge in data augmentation for graph neural networks.
Neural Networks, 2024

Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification.
CoRR, 2024

Disentangled Pre-training for Image Matting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Test-Time Training for Spatial-Temporal Forecasting.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

In-Context Learning for Zero-shot Medical Report Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Continual Learning for Temporal-Sensitive Question Answering.
Proceedings of the International Joint Conference on Neural Networks, 2024

Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2024

MedINST: Meta Dataset of Biomedical Instructions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Contrastive Learning with Counterfactual Explanations for Radiology Report Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Graph Continual Learning with Debiased Lossless Memory Replay.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Relation-Aware Heterogeneous Graph Neural Network for Fraud Detection.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Human-Guided Moral Decision Making in Text-Based Games.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Large Language Models Are Neurosymbolic Reasoners.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Shared dynamics learning for large-scale traveling salesman problem.
Adv. Eng. Informatics, April, 2023

Dynamic Slimmable Denoising Network.
IEEE Trans. Image Process., 2023

Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game.
CoRR, 2023

Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction.
CoRR, 2023

StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data.
CoRR, 2023

Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining.
CoRR, 2023

Graph-Level Anomaly Detection via Hierarchical Memory Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Stay Moral and Explore: Learn to Behave Morally in Text-based Games.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Review for Weighted MinHash Algorithms (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CITB: A Benchmark for Continual Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Turn-Level Active Learning for Dialogue State Tracking.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Self-imitation Learning for Action Generation in Text-based Games.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Spatial Bottleneck Transformer for Cellular Traffic Prediction in the Urban City.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
A Review for Weighted MinHash Algorithms.
IEEE Trans. Knowl. Data Eng., 2022

Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems.
IEEE Trans. Cybern., 2022

Discrete embedding for attributed graphs.
Pattern Recognit., 2022

Smoothing graphons for modelling exchangeable relational data.
Mach. Learn., 2022

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Mask Matching Transformer for Few-Shot Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection.
Proceedings of the International Joint Conference on Neural Networks, 2022

Perceiving the World: Question-guided Reinforcement Learning for Text-based Games.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
SEAL: Semisupervised Adversarial Active Learning on Attributed Graphs.
IEEE Trans. Neural Networks Learn. Syst., 2021

Privacy-Preserving Stochastic Gradual Learning.
IEEE Trans. Knowl. Data Eng., 2021

Learning to improve persona consistency in conversation generation with information augmentation.
Knowl. Based Syst., 2021

Homophily outlier detection in non-IID categorical data.
Data Min. Knowl. Discov., 2021

Single-cell multi-omics sequencing: application trends, COVID-19, data analysis issues and prospects.
Briefings Bioinform., 2021

Decoupling Sparsity and Smoothness in Dirichlet Belief Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Cross-aligned and Gumbel-refactored Autoencoders for Multi-view Anomaly Detection.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

A Multi-Mode Modulator for Multi-Domain Few-Shot Classification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generalization in Text-based Games via Hierarchical Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Adaptive Posterior Knowledge Selection for Improving Knowledge-Grounded Dialogue Generation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Semi-supervised Variational Multi-view Anomaly Detection.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020
Joint Principal Component and Discriminant Analysis for Dimensionality Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2020

Personalized Video Recommendation Using Rich Contents from Videos.
IEEE Trans. Knowl. Data Eng., 2020

Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification.
ACM Trans. Intell. Syst. Technol., 2020

Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling.
CoRR, 2020

Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discrete Embedding for Latent Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Reinforcement Learning with Transformers for Text Adventure Games.
Proceedings of the IEEE Conference on Games, 2020

2019
User identity linkage across social networks via linked heterogeneous network embedding.
World Wide Web, 2019

Beyond Majority Voting: A Coarse-to-Fine Label Filtration for Heavily Noisy Labels.
IEEE Trans. Neural Networks Learn. Syst., 2019

Improved Consistent Weighted Sampling Revisited.
IEEE Trans. Knowl. Data Eng., 2019

Discrete Multi-Graph Clustering.
IEEE Trans. Image Process., 2019

Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features.
IEEE Trans. Cybern., 2019

Encrypted data indexing for the secure outsourcing of spectral clustering.
Knowl. Inf. Syst., 2019

Scalable Deep Generative Relational Models with High-Order Node Dependence.
CoRR, 2019

Scalable Deep Generative Relational Model with High-Order Node Dependence.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Low-Bit Quantization for Attributed Network Representation Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Enumerating k-Vertex Connected Components in Large Graphs.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

What Can History Tell Us?
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Progressive Stochastic Learning for Noisy Labels.
IEEE Trans. Neural Networks Learn. Syst., 2018

K-Ary Tree Hashing for Fast Graph Classification.
IEEE Trans. Knowl. Data Eng., 2018

Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts.
IEEE Trans. Cybern., 2018

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Towards the Learning of Weighted Multi-label Associative Classifiers.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Efficient Attributed Network Embedding via Recursive Randomized Hashing.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Binarized attributed network embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

ASTM: An Attentional Segmentation Based Topic Model for Short Texts.
Proceedings of the IEEE International Conference on Data Mining, 2018

Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Semi-Supervised Bayesian Attribute Learning for Person Re-Identification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation.
IEEE Trans. Knowl. Data Eng., 2017

Incremental Subgraph Feature Selection for Graph Classification.
IEEE Trans. Knowl. Data Eng., 2017

ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation.
ACM Trans. Intell. Syst. Technol., 2017

Towards large-scale social networks with online diffusion provenance detection.
Comput. Networks, 2017

Consistent Weighted Sampling Made More Practical.
Proceedings of the 26th International Conference on World Wide Web, 2017

Early Active Learning with Pairwise Constraint for Person Re-identification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Online compressed robust PCA.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

2016
Memetic Extreme Learning Machine.
Pattern Recognit., 2016

Exploiting Rich Contents for Personalized Video Recommendation.
CoRR, 2016

PerSentiment: A Personalized Sentiment Classification System for Microblog Users.
Proceedings of the 25th International Conference on World Wide Web, 2016

Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Cross-View Feature Hashing for Image Retrieval.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

SPORE: A sequential personalized spatial item recommender system.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Mining Co-locations from Continuously Distributed Uncertain Spatial Data.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Dynamic User Modeling in Social Media Systems.
ACM Trans. Inf. Syst., 2015

Modeling Location-Based User Rating Profiles for Personalized Recommendation.
ACM Trans. Knowl. Discov. Data, 2015

RCP Mining: Towards the Summarization of Spatial Co-location Patterns.
Proceedings of the Advances in Spatial and Temporal Databases, 2015

Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Online diffusion source detection in social networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Build Emotion Lexicon from Microblogs by Combining Effects of Seed Words and Emoticons in a Heterogeneous Graph.
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015

Defragging Subgraph Features for Graph Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams.
Proceedings of the Databases Theory and Applications, 2015

2014
LCARS: A Spatial Item Recommender System.
ACM Trans. Inf. Syst., 2014

A temporal context-aware model for user behavior modeling in social media systems.
Proceedings of the International Conference on Management of Data, 2014

2013
Noisy but non-malicious user detection in social recommender systems.
World Wide Web, 2013

Introduction to Special section on Large-scale Data Mining.
Data Knowl. Eng., 2013

Mining Probabilistic Representative Frequent Patterns From Uncertain Data.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

LCARS: a location-content-aware recommender system.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Summarizing probabilistic frequent patterns: a fast approach.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Mining Dependent Frequent Serial Episodes from Uncertain Sequence Data.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Mining frequent serial episodes over uncertain sequence data.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

2012
Shot Classification Using Domain Specific Features for Movie Management.
Proceedings of the Database Systems for Advanced Applications, 2012

TCSST: transfer classification of short & sparse text using external data.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Semi-supervised Variable Weighting for Clustering.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

XStreamCluster: An Efficient Algorithm for Streaming XML Data Clustering.
Proceedings of the Database Systems for Advanced Applications, 2011

2010
Adaptive local hyperplanes for MTV affective analysis.
Proceedings of the Second International Conference on Internet Multimedia Computing and Service, 2010

Ranking Difficulty of Knowledge Units Based on Learning Dependency.
Proceedings of the IEEE 7th International Conference on e-Business Engineering, 2010

A Refinement Approach to Handling Model Misfit in Semi-supervised Learning.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
NEAR-Miner: Mining Evolution Associations of Web Site Directories for Efficient Maintenance of Web Archives.
Proc. VLDB Endow., 2009

COWES: Web user clustering based on evolutionary web sessions.
Data Knowl. Eng., 2009

Improving music genre classification using collaborative tagging data.
Proceedings of the Second International Conference on Web Search and Web Data Mining, 2009

In the Search of NECTARs from Evolutionary Trees.
Proceedings of the Database Systems for Advanced Applications, 2009

2008
Using subspace analysis for event detection from web click-through data.
Proceedings of the 17th International Conference on World Wide Web, 2008

PHAROS - Personalizing Users' Experience in Audio-Visual Online Spaces.
Proceedings of the PersDB 2008, 2nd International Workshop on Personalized Access, 2008

DECK: Detecting Events from Web Click-Through Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

The Art of Tagging: Measuring the Quality of Tags.
Proceedings of the Semantic Web, 3rd Asian Semantic Web Conference, 2008

2007
Discovering association rules from structural evolution of tree structured web data
PhD thesis, 2007

Mirror site maintenance based on evolution associations of web directories.
Proceedings of the 16th International Conference on World Wide Web, 2007

Discovering information diffusion paths from blogosphere for online advertising.
Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising, 2007

2006
XML structural delta mining: Issues and challenges.
Data Knowl. Eng., 2006

FRACTURE mining: Mining frequently and concurrently mutating structures from historical XML documents.
Data Knowl. Eng., 2006

Mining Temporal Indirect Associations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

COWES: Clustering Web Users Based on Historical Web Sessions.
Proceedings of the Database Systems for Advanced Applications, 2006

2005
Mining Positive and Negative Association Rules from XML Query Patterns for Caching.
Proceedings of the Database Systems for Advanced Applications, 2005

2004
Mining Association Rules from Structural Deltas of Historical XML Documents.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

VRules: an effective association-based classifier for videos.
Proceedings of the Second ACM International Workshop on Multimedia Databases, 2004

Mining Maximal Frequently Changing Subtree Patterns from XML Documents.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004


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