See-Kiong Ng
Orcid: 0000-0001-6565-7511
According to our database1,
See-Kiong Ng
authored at least 226 papers
between 1998 and 2024.
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Bibliography
2024
IEEE Trans. Knowl. Data Eng., November, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models.
CoRR, 2024
CoRR, 2024
PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search with Supplementary Materials.
CoRR, 2024
CoRR, 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory.
CoRR, 2024
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars.
CoRR, 2024
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning.
CoRR, 2024
PHAnToM: Personality Has An Effect on Theory-of-Mind Reasoning in Large Language Models.
CoRR, 2024
Gotcha! Don't trick me with unanswerable questions! Self-aligning Large Language Models for Responding to Unknown Questions.
CoRR, 2024
Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge.
CoRR, 2024
FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework.
CoRR, 2024
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models.
CoRR, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024
Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
NUS-IDS@eRisk2024: Ranking Sentences for Depression Symptoms using Early Maladaptive Schemas and Ensembles.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
ACM Trans. Spatial Algorithms Syst., December, 2023
Learning Hierarchical Spatial Tasks with Visiting Relations for Next POI Recommendation.
Trans. Recomm. Syst., December, 2023
Knowl. Inf. Syst., March, 2023
Trans. Mach. Learn. Res., 2023
Trans. Mach. Learn. Res., 2023
Constituency-Informed and Constituency-Constrained Extractive Question Answering with Heterogeneous Graph Transformer.
Trans. Large Scale Data Knowl. Centered Syst., 2023
CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
CoRR, 2023
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.
CoRR, 2023
CoRR, 2023
Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers.
CoRR, 2023
CoRR, 2023
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals.
CoRR, 2023
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials.
CoRR, 2023
Extending JumpProcess.jl for fast point process simulation with time-varying intensities.
CoRR, 2023
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market.
CoRR, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Economics Assistant for Robustness Checks (EconARC): Identifying Confounders from Causal Knowledge Graphs.
Proceedings of the ISWC 2023 Posters, 2023
PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023
COOL, a Context Outlooker, and Its Application to Question Answering and Other Natural Language Processing Tasks.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence.
Proceedings of the IEEE International Conference on Data Mining, 2023
Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023
CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks.
Proceedings of the Database Systems for Advanced Applications, 2023
NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled Data.
Proceedings of the 10th Workshop on Argument Mining, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Trans. Mach. Learn. Res., 2022
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding.
CoRR, 2022
A Context-enriched Satellite Imagery Dataset and an Approach for Parking Lot Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Database and Expert Systems Applications, 2022
Proceedings of the Database and Expert Systems Applications, 2022
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Trans. Large Scale Data Knowl. Centered Syst., 2021
NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Network for Better Cause-Effect Span Detection.
CoRR, 2021
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG.
CoRR, 2021
Proceedings of the WSDM '21, 2021
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021
Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021
Multimodal Fusion of Satellite Images and Crowdsourced GPS Traces for Robust Road Attribute Detection.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021
Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
IEEE Access, 2020
A Multi-task Learning Framework for Road Attribute Updating via Joint Analysis of Map Data and GPS Traces.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
VC-GAN: Classifying Vessel Types by Maritime Trajectories using Generative Adversarial Networks.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020
ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019
Multi-scale Graph Convolutional Network for Intersection Detection from GPS Trajectories.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2019
2018
CoRR, 2018
Intelligent Fault Diagnosis Under Varying Working Conditions Based on Domain Adaptive Convolutional Neural Networks.
IEEE Access, 2018
2017
Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
2016
Trans. Assoc. Comput. Linguistics, 2016
Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
2015
ACM Trans. Knowl. Discov. Data, 2015
iVizTRANS: Interactive visual learning for home and work place detection from massive public transportation data.
Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015
Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
2014
J. Bioinform. Comput. Biol., 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
Proceedings of the Database Systems for Advanced Applications, 2014
2013
IEEE Trans. Knowl. Data Eng., 2013
Multi-Resolution-Test for Consistent phenotype Discrimination and biomarker Discovery in Translational Bioinformatics.
J. Bioinform. Comput. Biol., 2013
Effective Crowdsourcing for Software Feature Ideation in Online Co-Creation Forums.
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013
Proceedings of the Security and Privacy Protection in Information Processing Systems, 2013
2012
ARPOP: An Appetitive Reward-Based Pseudo-Outer-Product Neural Fuzzy Inference System Inspired From the Operant Conditioning of Feeding Behavior in Aplysia.
IEEE Trans. Neural Networks Learn. Syst., 2012
Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data.
J. Comput. Biol., 2012
Inferring the Regulatory Interaction Models of transcription Factors in transcriptional Regulatory Networks.
J. Bioinform. Comput. Biol., 2012
AssocExplorer: an association rule visualization system for exploratory data analysis.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012
Proceedings of the Database Systems for Advanced Applications, 2012
2011
Proceedings of the IJCAI 2011, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the 27th International Conference on Data Engineering, 2011
Proceedings of the Database and Expert Systems Applications, 2011
Proceedings of the Database Systems for Advanced Applications, 2011
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Integrating diverse biological and computational sources for reliable protein-protein interactions.
BMC Bioinform., 2010
SLiM on Diet: finding short linear motifs on domain interaction interfaces in Protein Data Bank.
Bioinform., 2010
Proceedings of the Scientific and Statistical Database Management, 2010
Time series forecasting with appetitive reward-based pseudo-outer-product fuzzy neural network.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the 26th International Conference on Data Engineering, 2010
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010
Proceedings of the ACL 2010, 2010
2009
Nucleic Acids Res., 2009
Comput. Stand. Interfaces, 2009
BMC Bioinform., 2009
Proceedings of the SIAM International Conference on Data Mining, 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
KCMAC-TSK: A fuzzy cerebellar model with localized TSK learning for non-linear system identification.
Proceedings of the FUZZ-IEEE 2009, 2009
Proceedings of the FUZZ-IEEE 2009, 2009
Proceedings of the Database Systems for Advanced Applications, 2009
Proceedings of the Database Systems for Advanced Applications, 2009
An Interval type-2 Neural Fuzzy Inference System based on Piaget's action-cognitive paradigm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
J. Bioinform. Comput. Biol., 2008
Int. J. Comput. Biol. Drug Des., 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
A Unified Scoring Scheme for Detecting Essential Proteins in Protein Interaction Networks.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008
Proceedings of the Database Systems for Advanced Applications, 2008
2007
Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007
Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers.
Proceedings of the Privacy, 2007
Proceedings of the IJCAI 2007, 2007
Proceedings of the 23rd International Conference on Data Engineering, 2007
Proceedings of the Machine Learning: ECML 2007, 2007
An HV-SVM Classifier to Infer TF-TF Interactions Using Protein Domains and GO Annotations.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2006
Improving domain-based protein interaction prediction using biologically-significant negative dataset.
Int. J. Data Min. Bioinform., 2006
Challenges in biological literature mining for online discovery of molecular interaction pathways.
Int. J. Comput. Appl. Technol., 2006
A correlated motif approach for finding short linear motifs from protein interaction networks.
BMC Bioinform., 2006
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method.
BMC Bioinform., 2006
BioContrasts: extracting and exploiting protein-protein contrastive relations from biomedical literature.
Bioinform., 2006
Bioinform., 2006
A Faster and More Space-Efficient Algorithm for Inferring Arc-Annotations of RNA Sequences through Alignment.
Algorithmica, 2006
Intelligent Extraction Versus Advanced Query: Recognize Transcription Factors from Databases.
Proceedings of the Pattern Recognition in Bioinformatics, International Workshop, 2006
NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Systematic Gene Function Prediction Using a Fuzzy Nearest-Cluster Method on Gene Expression Data.
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006
2005
Discovering reliable protein interactions from high-throughput experimental data using network topology.
Artif. Intell. Medicine, 2005
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005
Protein Interaction Prediction Using Inferred Domain Interactions and Biologically-Significant Negative Dataset.
Proceedings of the Computational Science and Its Applications, 2005
Proceedings of the Computational Science and Its Applications, 2005
Proceedings of 3rd Asia-Pacific Bioinformatics Conference, 17-21 January 2005, Singapore, 2005
Proceedings of the 19th International Conference on Advanced Information Networking and Applications (AINA 2005), 2005
2004
InterWeaver: interaction reports for discovering potential protein interaction partners with online evidence.
Nucleic Acids Res., 2004
Nucleic Acids Res., 2004
Discovery of Binding Motif Pairs from Protein Complex Structural Data and Protein Interaction Sequence Data.
Proceedings of the Biocomputing 2004, 2004
Systematic Assessment of High-Throughput Experimental Data for Reliable Protein Interactions Using Network Topology.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004
Discovering Novel Interacting Motif Pairs from Large Protein-Protein Interaction Datasets.
Proceedings of the 4th IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2004), 2004
Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data.
Proceedings of the Second Asia-Pacific Bioinformatics Conference (APBC 2004), 2004
2003
InterDom: a database of putative interacting protein domains for validating predicted protein interactions and complexes.
Nucleic Acids Res., 2003
Bioinform., 2003
Proceedings of the Database Theory, 2003
Discovery of significant rules for classifying cancer diagnosis data.
Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003
Proceedings of the First Asia-Pacific Bioinformatics Conference (APBC 2003), 2003
2001
2000
Proceedings of the Eleventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2000
1998
Proceedings of the Mathematical Support for Molecular Biology, 1998