Jianmin Wang

Orcid: 0000-0001-6841-7943

Affiliations:
  • Tsinghua University, School of Software, Beijing, China


According to our database1, Jianmin Wang authored at least 430 papers between 2000 and 2024.

Collaborative distances:

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Bibliography

2024
One Fits Many: Class Confusion Loss for Versatile Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

Apache TsFile: An IoT-native Time Series File Format.
Proc. VLDB Endow., August, 2024

Graph Exploration With Embedding-Guided Layouts.
IEEE Trans. Vis. Comput. Graph., July, 2024

Distance-based Outlier Query Optimization in Apache IoTDB.
Proc. VLDB Endow., July, 2024

On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB.
Proc. VLDB Endow., July, 2024

Time series data encoding in Apache IoTDB: comparative analysis and recommendation.
VLDB J., May, 2024

Counteracting sociocultural barriers in global software engineering using group activities.
J. Softw. Evol. Process., May, 2024

Time Series Representation for Visualization in Apache IoTDB.
Proc. ACM Manag. Data, February, 2024

Determining Exact Quantiles with Randomized Summaries.
Proc. ACM Manag. Data, February, 2024

Streaming data cleaning based on speed change.
VLDB J., January, 2024

Multimodal Data Encoding and Compression in Apache IoTDB.
Int. J. Softw. Informatics, 2024

Re-evaluation of PhishI game and its utilisation in eliciting security requirements.
Int. J. Inf. Comput. Secur., 2024

Timer-XL: Long-Context Transformers for Unified Time Series Forecasting.
CoRR, 2024

Metadata Matters for Time Series: Informative Forecasting with Transformers.
CoRR, 2024

Deep Time Series Models: A Comprehensive Survey and Benchmark.
CoRR, 2024

RoPINN: Region Optimized Physics-Informed Neural Networks.
CoRR, 2024

Supercompiler Code Optimization with Zero-Shot Reinforcement Learning.
CoRR, 2024

depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers.
CoRR, 2024

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables.
CoRR, 2024

EuLagNet: Eulerian Fluid Prediction with Lagrangian Dynamics.
CoRR, 2024

AutoTimes: Autoregressive Time Series Forecasters via Large Language Models.
CoRR, 2024

Timer: Transformers for Time Series Analysis at Scale.
CoRR, 2024

Time-tired compaction: An elastic compaction scheme for LSM-tree based time-series database.
Adv. Eng. Informatics, 2024

BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Transolver: A Fast Transformer Solver for PDEs on General Geometries.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

HarmonyDream: Task Harmonization Inside World Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Timer: Generative Pre-trained Transformers Are Large Time Series Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

REGER: Reordering Time Series Data for Regression Encoding.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

On Tuning Raft for IoT Workload in Apache IoTDB.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Feature Analysis for Incomplete Time Series Classification.
Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2024

2023
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Towards Natural Language Interfaces for Data Visualization: A Survey.
IEEE Trans. Vis. Comput. Graph., June, 2023

Interpretable weather forecasting for worldwide stations with a unified deep model.
Nat. Mac. Intell., June, 2023

Efficiently Cleaning Structured Event Logs: A Graph Repair Approach.
ACM Trans. Database Syst., March, 2023

TsQuality: Measuring Time Series Data Quality in Apache IoTDB.
Proc. VLDB Endow., 2023

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

From Big to Small: Adaptive Learning to Partial-Set Domains.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Grouping Time Series for Efficient Columnar Storage.
Proc. ACM Manag. Data, 2023

Apache IoTDB: A Time Series Database for IoT Applications.
Proc. ACM Manag. Data, 2023

Skilful nowcasting of extreme precipitation with NowcastNet.
Nat., 2023

Retrieving arXiv, SocArXiv, and SSRN metadata for initial review screening.
Inf. Softw. Technol., 2023

HelmSim: Learning Helmholtz Dynamics for Interpretable Fluid Simulation.
CoRR, 2023

Harmony World Models: Boosting Sample Efficiency for Model-based Reinforcement Learning.
CoRR, 2023

Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Solving High-Dimensional PDEs with Latent Spectral Models.
Proceedings of the International Conference on Machine Learning, 2023

CLIPood: Generalizing CLIP to Out-of-Distributions.
Proceedings of the International Conference on Machine Learning, 2023

Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms.
Proceedings of the International Conference on Machine Learning, 2023

TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Backward-Sort for Time Series in Apache IoTDB.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Non-Blocking Raft for High Throughput IoT Data.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Process Drift Detection in Event Logs with Graph Convolutional Networks.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
On the utilization of non-quality assessed literature in software engineering research.
J. Softw. Evol. Process., 2022

Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB.
Proc. VLDB Endow., 2022

NLC: Search Correlated Window Pairs on Long Time Series.
Proc. VLDB Endow., 2022

VideoDG: Generalizing Temporal Relations in Videos to Novel Domains.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs.
J. Mach. Learn. Res., 2022

Visual Data Analysis with Task-Based Recommendations.
Data Sci. Eng., 2022

Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting.
CoRR, 2022

Visual Data Analysis with Task-based Recommendations.
CoRR, 2022

Debiased Pseudo Labeling in Self-Training.
CoRR, 2022

Inferring Commonsense Explanations as Prompts for Future Event Generation.
CoRR, 2022

Transferability in Deep Learning: A Survey.
CoRR, 2022

What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Requirements Engineering for Machine Learning: A Review and Reflection.
Proceedings of the 30th IEEE International Requirements Engineering Conference Workshops, 2022

What Should Abeeha do? an Activity for Phishing Awareness.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Debiased Self-Training for Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Supported Policy Optimization for Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Aligning Tuples for Regression.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Flowformer: Linearizing Transformers with Conservation Flows.
Proceedings of the International Conference on Machine Learning, 2022

Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy.
Proceedings of the Tenth International Conference on Learning Representations, 2022

X-model: Improving Data Efficiency in Deep Learning with A Minimax Model.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Decoupled Adaptation for Cross-Domain Object Detection.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Constructing Compact Time Series Index for Efficient Window Query Processing.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Separation or Not: On Handing Out-of-Order Time-Series Data in Leveled LSM-Tree.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

TVStore: Automatically Bounding Time Series Storage via Time-Varying Compression.
Proceedings of the 20th USENIX Conference on File and Storage Technologies, 2022

GALVIS: Visualization Construction through Example-Powered Declarative Programming.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Cleaning timestamps with temporal constraints.
VLDB J., 2021

Estimating Global Completeness of Event Logs: A Comparative Study.
IEEE Trans. Serv. Comput., 2021

Stream Data Cleaning under Speed and Acceleration Constraints.
ACM Trans. Database Syst., 2021

Understanding and deciphering of social engineering attack scenarios.
Secur. Priv., 2021

EXPERIENCE: Algorithms and Case Study for Explaining Repairs with Uniform Profiles over IoT Data.
ACM J. Data Inf. Qual., 2021

Time Series Data Cleaning under Multi-Speed Constraints.
Int. J. Softw. Informatics, 2021

Ranking and Tuning Pre-trained Models: A New Paradigm of Exploiting Model Hubs.
CoRR, 2021

Omni-Training for Data-Efficient Deep Learning.
CoRR, 2021

TaskVis: Task-oriented Visualization Recommendation.
Proceedings of the 21st Eurographics Conference on Visualization, 2021

IoTDataBench: Extending TPCx-IoT for Compression and Scalability.
Proceedings of the Performance Evaluation and Benchmarking, 2021

Why Not Match: On Explanations of Event Pattern Queries.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Cycle Self-Training for Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

LogME: Practical Assessment of Pre-trained Models for Transfer Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Self-Tuning for Data-Efficient Deep Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Zoo-Tuning: Adaptive Transfer from A Zoo of Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

Representation Subspace Distance for Domain Adaptation Regression.
Proceedings of the 38th International Conference on Machine Learning, 2021

Intelligent Health Information Services Requirements Revisited from an Actor's Perspective.
Proceedings of the IEEE International Conference on Digital Health, 2021

GRAB: Finding Time Series Natural Structures via A Novel Graph-based Scheme.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses.
Proceedings of the Database Systems for Advanced Applications, 2021

MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Open Domain Generalization with Domain-Augmented Meta-Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Regressive Domain Adaptation for Unsupervised Keypoint Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MetaSets: Meta-Learning on Point Sets for Generalizable Representations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Transferable Query Selection for Active Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Enriching Data Imputation under Similarity Rule Constraints.
IEEE Trans. Knowl. Data Eng., 2020

Apache IoTDB: Time-series database for Internet of Things.
Proc. VLDB Endow., 2020

Dual-PISA: An index for aggregation operations on time series data.
Inf. Syst., 2020

Event Data Quality: A Survey.
CoRR, 2020

Bi-tuning of Pre-trained Representations.
CoRR, 2020

On Localized Discrepancy for Domain Adaptation.
CoRR, 2020

Learning Individual Models for Imputation (Technical Report).
CoRR, 2020

Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing (Technical Report).
CoRR, 2020

Co-Tuning for Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Transferable Calibration with Lower Bias and Variance in Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Adapt to Evolving Domains.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Resource Efficient Domain Adaptation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

GAHNE: Graph-Aggregated Heterogeneous Network Embedding.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Unsupervised Transfer Learning for Spatiotemporal Predictive Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Multi-Task Learning of Generalizable Representations for Video Action Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

A Multi-Player Minimax Game for Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Swapping Repair for Misplaced Attribute Values.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Minimum Class Confusion for Versatile Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Detect Open Classes for Universal Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2020, 2020

How to Generate Reasonable Texts with Controlled Attributes.
Proceedings of the Database Systems for Advanced Applications, 2020

Heterogeneous Replicas for Multi-dimensional Data Management.
Proceedings of the Database Systems for Advanced Applications, 2020

Progressive Adversarial Networks for Fine-Grained Domain Adaptation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Understanding Social Engineers Strategies from the Perspective of Sun-Tzu Philosophy.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

The Use of Grey Literature and Google Scholar in Software Engineering Systematic Literature Reviews.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Google Scholar vs. Dblp vs. Microsoft Academic Search: An Indexing Comparison for Software Engineering Literature.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

An Approach for Process Model Extraction by Multi-grained Text Classification.
Proceedings of the Advanced Information Systems Engineering, 2020

Transferring Pretrained Networks to Small Data via Category Decorrelation.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Contemplating social engineering studies and attack scenarios: A review study.
Secur. Priv., 2019

Transferable Representation Learning with Deep Adaptation Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

How persuasive is a phishing email? A phishing game for phishing awareness.
J. Comput. Secur., 2019

Sharing information online rationally: An observation of user privacy concerns and awareness using serious game.
J. Inf. Secur. Appl., 2019

Improving software security awareness using a serious game.
IET Softw., 2019

Improving software requirements reasoning by novices: a story-based approach.
IET Softw., 2019

Decomposed and parallel process discovery: A framework and application.
Future Gener. Comput. Syst., 2019

Adversarial Pyramid Network for Video Domain Generalization.
CoRR, 2019

Less Confusion More Transferable: Minimum Class Confusion for Versatile Domain Adaptation.
CoRR, 2019

Towards Understanding the Transferability of Deep Representations.
CoRR, 2019

Learning Stages: Phenomenon, Root Cause, Mechanism Hypothesis, and Implications.
CoRR, 2019

Process Extraction from Texts via Multi-Task Architecture.
CoRR, 2019

MM-Pred: A Deep Predictive Model for Multi-attribute Event Sequence.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Transferable Normalization: Towards Improving Transferability of Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers.
Proceedings of the 36th International Conference on Machine Learning, 2019

Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation.
Proceedings of the 36th International Conference on Machine Learning, 2019

Z-Order Recurrent Neural Networks for Video Prediction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Learning Individual Models for Imputation.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

KV-Match: A Subsequence Matching Approach Supporting Normalization and Time Warping.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Maximum-Margin Hamming Hashing.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Universal Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Separate to Adapt: Open Set Domain Adaptation via Progressive Separation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Transfer Examples for Partial Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Latent-Constrained Variational Neural Dialogue Model for Information-Rich Responses.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

TsOutlier: Explaining Outliers with Uniform Profiles over IoT Data.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Inpatient2Vec: Medical Representation Learning for Inpatients.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Transferable Attention for Domain Adaptation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Transferable Curriculum for Weakly-Supervised Domain Adaptation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence.
Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019

2018
Matching Heterogeneous Event Data.
IEEE Trans. Knowl. Data Eng., 2018

Design and preliminary evaluation of a cyber Security Requirements Education Game (SREG).
Inf. Softw. Technol., 2018

Flexible Attributed Network Embedding.
CoRR, 2018

Reversing Two-Stream Networks with Decoding Discrepancy Penalty for Robust Action Recognition.
CoRR, 2018

Heterogeneous Replica for Query on Cassandra.
CoRR, 2018

Conditional Adversarial Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Generalized Zero-Shot Learning with Deep Calibration Network.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Triplet Quantization.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Priority Hashing.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

PredCNN: Predictive Learning with Cascade Convolutions.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

RLRecommender: A Representation-Learning-Based Recommendation Method for Business Process Modeling.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Partial Adversarial Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Cross-Modal Hamming Hashing.
Proceedings of the Computer Vision - ECCV 2018, 2018

Learning the Representation of Medical Features for Clinical Pathway Analysis.
Proceedings of the Database Systems for Advanced Applications, 2018

HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Cauchy Hashing for Hamming Space Retrieval.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Partial Transfer Learning With Selective Adversarial Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A Deep Predictive Model in Healthcare for Inpatients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Multi-Task Neural Learning Architecture for End-to-End Identification of Helpful Reviews.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Matching Consecutive Subpatterns over Streaming Time Series.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Multi-Adversarial Domain Adaptation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Unsupervised Domain Adaptation With Distribution Matching Machines.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Transfer Adversarial Hashing for Hamming Space Retrieval.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Matching Heterogeneous Events with Patterns.
IEEE Trans. Knowl. Data Eng., 2017

Learning the Personalized Intransitive Preferences of Images.
IEEE Trans. Image Process., 2017

Cross-View Retrieval via Probability-Based Semantics-Preserving Hashing.
IEEE Trans. Cybern., 2017

Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing.
Proc. VLDB Endow., 2017

Fine-Grained Pattern Matching Over Streaming Time Series.
CoRR, 2017

KV-match: An Efficient Subsequence Matching Approach for Large Scale Time Series.
CoRR, 2017

Domain Adaptation with Randomized Multilinear Adversarial Networks.
CoRR, 2017

An experimental study on tuning the consistency of NoSQL systems.
Concurr. Comput. Pract. Exp., 2017

Detecting Process Concept Drifts from Event Logs.
Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 2017

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Multiple Tasks with Multilinear Relationship Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Modeling the Intransitive Pairwise Image Preference from Multiple Angles.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Designing the Next Mobile App Recommender System for the Globe.
Proceedings of the 14th International Symposium on Pervasive Systems, 2017

Deep Transfer Learning with Joint Adaptation Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

HashNet: Deep Learning to Hash by Continuation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning the Structures of Online Asynchronous Conversations.
Proceedings of the Database Systems for Advanced Applications, 2017

Spatiotemporal Pyramid Network for Video Action Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep Visual-Semantic Quantization for Efficient Image Retrieval.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Structural Descriptions of Process Models Based on Goal-Oriented Unfolding.
Proceedings of the Advanced Information Systems Engineering, 2017

Correlation Hashing Network for Efficient Cross-Modal Retrieval.
Proceedings of the British Machine Vision Conference 2017, 2017

Incorporating domain knowledge into clinical goal discovering for clinical pathway mining.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

Big Data Services Requirements Analysis.
Proceedings of the Requirements Engineering for Internet of Things, 2017

Performance and Replica Consistency Simulation for Quorum-Based NoSQL System Cassandra.
Proceedings of the Application and Theory of Petri Nets and Concurrency, 2017

Collective Deep Quantization for Efficient Cross-Modal Retrieval.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Transitive Hashing Network for Heterogeneous Multimedia Retrieval.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Refactor Business Process Models with Maximized Parallelism.
IEEE Trans. Serv. Comput., 2016

Inferring Directions of Undirected Social Ties.
IEEE Trans. Knowl. Data Eng., 2016

Deep Learning of Transferable Representation for Scalable Domain Adaptation.
IEEE Trans. Knowl. Data Eng., 2016

Recommendation for Repeat Consumption from User Implicit Feedback.
IEEE Trans. Knowl. Data Eng., 2016

Efficient Recovery of Missing Events.
IEEE Trans. Knowl. Data Eng., 2016

Cleaning Timestamps with Temporal Constraints.
Proc. VLDB Endow., 2016

Efficient Set-Correlation Operator Inside Databases.
J. Comput. Sci. Technol., 2016

Deep Transfer Learning with Joint Adaptation Networks.
CoRR, 2016

Unsupervised Domain Adaptation with Residual Transfer Networks.
CoRR, 2016

A semantic-aware data generator for ETL workflows.
Concurr. Comput. Pract. Exp., 2016

An anomaly detection approach for multiple monitoring data series based on latent correlation probabilistic model.
Appl. Intell., 2016

Sequential Data Cleaning: A Statistical Approach.
Proceedings of the 2016 International Conference on Management of Data, 2016

Constraint-Variance Tolerant Data Repairing.
Proceedings of the 2016 International Conference on Management of Data, 2016

Composite Correlation Quantization for Efficient Multimodal Retrieval.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

ExRORU: A New Approach to Characterize the Behavioral Semantics of Process Models (Short Paper).
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 2016

Unsupervised Domain Adaptation with Residual Transfer Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Correlation Autoencoder Hashing for Supervised Cross-Modal Search.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Deep Visual-Semantic Hashing for Cross-Modal Retrieval.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Semi-Supervised Active Learning with Cross-Class Sample Transfer.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Extracting Clinical-event-packages from Billing Data for Clinical Pathway Mining.
Proceedings of the Smart Health - International Conference, 2016

Summarizing patient daily activities for clinical pathway mining.
Proceedings of the 18th IEEE International Conference on e-Health Networking, 2016

PISA: An Index for Aggregating Big Time Series Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

TCPM: Topic-Based Clinical Pathway Mining.
Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016

Deep Hashing Network for Efficient Similarity Retrieval.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Transductive Zero-Shot Recognition via Shared Model Space Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Deep Quantization Network for Efficient Image Retrieval.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Domain Invariant Transfer Kernel Learning.
IEEE Trans. Knowl. Data Eng., 2015

Enriching Data Imputation with Extensive Similarity Neighbors.
Proc. VLDB Endow., 2015

Compositional Correlation Quantization for Large-Scale Multimodal Search.
CoRR, 2015

Learning Multiple Tasks with Deep Relationship Networks.
CoRR, 2015

Learning Transferable Features with Deep Adaptation Networks.
CoRR, 2015

Optimizing data partition for scaling out NoSQL cluster.
Concurr. Comput. Pract. Exp., 2015

Optimizing Data Partition for NoSQL Cluster.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

SCREEN: Stream Data Cleaning under Speed Constraints.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Discovering BPMN Models with Sub-processes and Multi-instance Markers.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2015 Conferences, 2015

A Creative Lifecycle Model for Internetware Based Software Development.
Proceedings of the 7th Asia-Pacific Symposium on Internetware, 2015

Learning Transferable Features with Deep Adaptation Networks.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Cleaning structured event logs: A graph repair approach.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Semantics-preserving hashing for cross-view retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Towards an Applied Oral Health Ontology: A Round Trip between Clinical Data and Experiential Medical Knowledge.
Proceedings of the 39th Annual Computer Software and Applications Conference, 2015

Mining Invisible Tasks in Non-free-choice Constructs.
Proceedings of the Business Process Management - 13th International Conference, 2015

Spare Part Demand Prediction Based on Context-Aware Matrix Factorization.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

TAR++: A New Process Model Similarity Algorithm Based on the Importance of TARs.
Proceedings of the Asia Pacific Business Process Management, 2015

Learning Predictable and Discriminative Attributes for Visual Recognition.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Will You "Reconsume" the Near Past? Fast Prediction on Short-Term Reconsumption Behaviors.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

A Personalized Interest-Forgetting Markov Model for Recommendations.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Querying business process model repositories - A survey of current approaches and issues.
World Wide Web, 2014

Aggregate nearest neighbor queries in uncertain graphs.
World Wide Web, 2014

Computing Refined Ordering Relations with Uncertainty for Acyclic Process Models.
IEEE Trans. Serv. Comput., 2014

An Advanced MapReduce: Cloud MapReduce, Enhancements and Applications.
IEEE Trans. Netw. Serv. Manag., 2014

Adaptation Regularization: A General Framework for Transfer Learning.
IEEE Trans. Knowl. Data Eng., 2014

Transfer Learning with Graph Co-Regularization.
IEEE Trans. Knowl. Data Eng., 2014

Inferring Continuous Dynamic Social Influence and Personal Preference for Temporal Behavior Prediction.
Proc. VLDB Endow., 2014

A schema aware ETL workflow generator.
Inf. Syst. Frontiers, 2014

Editorial.
Inf. Syst., 2014

How to guarantee compliance between workflows and product lifecycles?
Inf. Syst., 2014

CPL+: An improved approach for evaluating the local completeness of event logs.
Inf. Process. Lett., 2014

Requirements model driven adaption and evolution of Internetware.
Sci. China Inf. Sci., 2014

Who proposed the relationship?: recovering the hidden directions of undirected social networks.
Proceedings of the 23rd International World Wide Web Conference, 2014

MapReduce for Large-Scale Monitor Data Analyses.
Proceedings of the 13th IEEE International Conference on Trust, 2014

Matching heterogeneous event data.
Proceedings of the International Conference on Management of Data, 2014

Efficient Behavioral-Difference Detection between Business Process Models.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014

TAGER: Transition-Labeled Graph Edit Distance Similarity Measure on Process Models.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014

CFS: A Behavioral Similarity Algorithm for Process Models Based on Complete Firing Sequences.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014

Modeling the Interest-Forgetting Curve for Music Recommendation.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Local Hybrid Coding for Image Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Multi-label Classification via Feature-aware Implicit Label Space Encoding.
Proceedings of the 31th International Conference on Machine Learning, 2014

Matching heterogeneous events with patterns.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Transfer Joint Matching for Unsupervised Domain Adaptation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Managing Massive Business Process Models and Instances with Process Space.
Proceedings of the BPM Demo Sessions 2014 Co-located with the 12th International Conference on Business Process Management (BPM 2014), 2014

Inherent Replica Inconsistency in Cassandra.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

LCAD: A Correlation Based Abnormal Pattern Detection Approach for Large Amount of Monitor Data.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

Efficient Syntactic Process Difference Detection Using Flexible Feature Matching.
Proceedings of the Asia Pacific Business Process Management, 2014

A Universal Significant Reference Model Set for Process Mining Evaluation Framework.
Proceedings of the Asia Pacific Business Process Management, 2014

Learning Temporal Dynamics of Behavior Propagation in Social Networks.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Efficient Selection of Process Mining Algorithms.
IEEE Trans. Serv. Comput., 2013

Efficient Recovery of Missing Events.
Proc. VLDB Endow., 2013

Adaptive music resizing with stretching, cropping and insertion - A generic content-aware music resizing framework.
Multim. Syst., 2013

Efficient Semantics-Based Compliance Checking Using LTL Formulae and Unfolding.
J. Appl. Math., 2013

BPM Newsletter.
EMISA Forum, 2013

Efficient querying of large process model repositories.
Comput. Ind., 2013

LaFT-tree: perceiving the expansion trace of one's circle of friends in online social networks.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Learning latent friendship propagation networks with interest awareness for link prediction.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

An Approach to Identifying False Traces in Process Event Logs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Twin Bridge Transfer Learning for Sparse Collaborative Filtering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

LAFT-Explorer: inferring, visualizing and predicting how your social network expands.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A multidimensional data model for TPC-DS benchmarking.
Proceedings of the 5th Asia-Pacific Symposium on Internetware, 2013

Phd Symposium Track: Message from Chairs.
Proceedings of the Service-Oriented Computing - ICSOC 2012 Workshops, 2013

RECODS: Replica consistency-on-demand store.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Transfer Feature Learning with Joint Distribution Adaptation.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Transfer Sparse Coding for Robust Image Representation.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Process Model Storage Solutions: Proposition and Evaluation.
Proceedings of the Asia Pacific Business Process Management, 2013

APQL: A Process-Model Query Language.
Proceedings of the Asia Pacific Business Process Management, 2013

2012
A novel watermarking method for software protection in the cloud.
Softw. Pract. Exp., 2012

Verification of workflow nets with transition conditions.
J. Zhejiang Univ. Sci. C, 2012

Latency Bounding by Trading off Consistency in NoSQL Store: A Staging and Stepwise Approach
CoRR, 2012

Ranking the Importance of Nodes of Complex Networks by the Equivalence Classes Approach
CoRR, 2012

A simple model clarifies the complicated relationships of complex networks
CoRR, 2012

Equalitarian Societies are Economically Impossible
CoRR, 2012

Multimedia Applications and Security in MapReduce: Opportunities and Challenges.
Concurr. Comput. Pract. Exp., 2012

Dual Transfer Learning.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

An empirical evaluation of process mining algorithms based on structural and behavioral similarities.
Proceedings of the ACM Symposium on Applied Computing, 2012

An Approach to Recommend Resources for Business Processes.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2012 Workshops, 2012

Understanding evolution in Internetware using a double pyramids model.
Proceedings of the Fourth Asia-Pacific Symposium on Internetware, 2012

Protecting data confidentiality in cloud systems.
Proceedings of the Fourth Asia-Pacific Symposium on Internetware, 2012

A cloud-based watermarking method for health data security.
Proceedings of the 2012 International Conference on High Performance Computing & Simulation, 2012

On Recommendation of Process Mining Algorithms.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

Detecting Infeasible Traces in Process Models.
Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 3, Wroclaw, Poland, 28 June, 2012

An Approach to Evaluate the Local Completeness of an Event Log.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Automatic image annotation using tag-related random search over visual neighbors.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Efficient Retrieval of Similar Workflow Models Based on Behavior.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

A Software Watermark Based Architecture for Cloud Security.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

Approaches on Getting Workflow Task Execution Number of Times.
Proceedings of the 2012 IEEE Asia-Pacific Services Computing Conference, 2012

2011
SPARK2: Top-k Keyword Query in Relational Databases.
IEEE Trans. Knowl. Data Eng., 2011

Verifying workflow processes: a transformation-based approach.
Softw. Syst. Model., 2011

Ripple: A publish/subscribe service for multidata item updates propagation in the cloud.
J. Netw. Comput. Appl., 2011

Mining workflow event log to facilitate parallel work item sharing among human resources.
Int. J. Comput. Integr. Manuf., 2011

CS-DRM: A Cloud-Based SIM DRM Scheme for Mobile Internet.
EURASIP J. Wirel. Commun. Netw., 2011

Hidden Tree Structure is a Key to the Emergence of Scaling in the World Wide Web
CoRR, 2011

A Kind of Representation of Common Knowledge and its Application in Requirements Analysis
CoRR, 2011

Image annotation based on recommendation model.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Efficient Retrieval of Similar Business Process Models Based on Structure - (Short Paper).
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2011, 2011

MUSIZ: a generic framework for music resizing with stretching and cropping.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

An Ontology-Based Framework for Collaborative Maintenance Planning.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2011

Formally Modeling and Analyzing Data-centric Workflow using WFCP-net and ASK-CTL.
Proceedings of the ICEIS 2011, 2011

A unified approach for computing top-k pairs in multidimensional space.
Proceedings of the 27th International Conference on Data Engineering, 2011

Querying Process Models Based on the Temporal Relations between Tasks.
Proceedings of the Workshops Proceedings of the 15th IEEE International Enterprise Distributed Object Computing Conference, 2011

Querying Business Process Models Based on Semantics.
Proceedings of the Database Systems for Advanced Applications, 2011

One Method for Provenance Tracking of Product Lifecycle Data in Collaborative Service Environment.
Proceedings of the 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2011

Using random walks for multi-label classification.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Efficiently Querying Business Process Models with BeehiveZ.
Proceedings of the Demo Track of the Nineth Conference on Business Process Management 2011, 2011


2010
Effectively Indexing the Uncertain Space.
IEEE Trans. Knowl. Data Eng., 2010

A visual word weighting scheme based on emerging itemsets for video annotation.
Inf. Process. Lett., 2010

Client-centric consistency formalization and verification for system with large-scale distributed data storage.
Future Gener. Comput. Syst., 2010

Mining process models with prime invisible tasks.
Data Knowl. Eng., 2010

A workflow net similarity measure based on transition adjacency relations.
Comput. Ind., 2010

Structure-aware music resizing using lyrics.
Proceedings of the 19th International Conference on World Wide Web, 2010

iPoc: A Polar Coordinate Based Indexing Method for Nearest Neighbor Search in High Dimensional Space.
Proceedings of the Web-Age Information Management, 11th International Conference, 2010

MapDupReducer: detecting near duplicates over massive datasets.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

A Behavioral Similarity Measure between Labeled Petri Nets Based on Principal Transition Sequences - (Short Paper).
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2010, 2010

Efficient and Accurate Retrieval of Business Process Models through Indexing - (Short Paper).
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2010, 2010

Goal-driven adaptation of internetware.
Proceedings of the Second Asia-Pacific Symposium on Internetware, 2010

LyDAR: A LYrics Density based Approach to non-homogeneous music Resizing.
Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

Transfer Learning via Cluster Correspondence Inference.
Proceedings of the ICDM 2010, 2010

A Watermark-Aware Trusted Running Environment for Software Clouds.
Proceedings of the Fifth Annual ChinaGrid Conference, ChinaGrid 2010, Guangzhou, 2010

A cloud based SIM DRM scheme for the mobile internet.
Proceedings of the 17th ACM Conference on Computer and Communications Security, 2010

laUD-MS: An Extensible System for Unstructured Data Management.
Proceedings of the Advances in Web Technologies and Applications, 2010

Dynamically Analyzing Time Constraints in Workflow Systems with Fixed-Date Constraint.
Proceedings of the Advances in Web Technologies and Applications, 2010

A cognitive crawler using structure pattern for incremental crawling and content extraction.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
A novel approach for process mining based on event types.
J. Intell. Inf. Syst., 2009

An Approach of Performance Evaluation in Authentic Database Applications.
Proceedings of the Performance Evaluation and Benchmarking, 2009

Towards workflow-driven database system workload modeling.
Proceedings of the 2nd International Workshop on Testing Database Systems, 2009

A Two-Stage Probabilistic Approach to Manage Personal Worklist in Workflow Management Systems.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2009, 2009

Requirements-driven Internetware services evaluation.
Proceedings of the First Asia-Pacific Symposium on Internetware, 2009

Trusted resource dissemination in Internetware systems.
Proceedings of the First Asia-Pacific Symposium on Internetware, 2009

A configurable benchmark test management framework.
Proceedings of the First Asia-Pacific Symposium on Internetware, 2009

Deriving Canonical Business Object Operation Nets from Process Models.
Proceedings of the ICEIS 2009, 2009

Automatic Image Annotations by Mining Web Image Data.
Proceedings of the ICDM Workshops 2009, 2009

A semi-dynamic multiple watermarking schemefor java applications.
Proceedings of the 9th ACM Workshop on Digital Rights Management, 2009

Extracting Real-Life Log with Data Perspective in PLM System for Business Process Analysis.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

Probability Timing Constraint WF-Nets and Their Application to Timing Schedulability Analysis of Workflow Management Systems.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

A label-free similarity measure between workflow nets.
Proceedings of the 4th IEEE Asia-Pacific Services Computing Conference, 2009

Adaptive-Push Peer-to-Peer Video Streaming System Based on Dynamic Unstructured Topology.
Proceedings of the Fifth International Conference on Information Assurance and Security, 2009

A New Fingerprint Sequences Matching Algorithm for Content-Based Copy Detection.
Proceedings of the Fifth International Conference on Information Assurance and Security, 2009

2008
A semi-automatic approach for workflow staff assignment.
Comput. Ind., 2008

Effective Predicate Abstraction for Program Verification.
Proceedings of the Second IEEE/IFIP International Symposium on Theoretical Aspects of Software Engineering, 2008

An Optimal Approach for Workflow Staff Assignment Based on Hidden Markov Models.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2008 Workshops, 2008

ATBaM: An Arnold Transform Based Method on Watermarking Relational Data.
Proceedings of the 2008 International Conference on Multimedia and Ubiquitous Engineering (MUE 2008), 2008

A Novel Digital Watermarking Method for New Viewpoint Video Based on Depth Map.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

A Novel Watermarking Method For Wyner-Ziv Video Coding.
Proceedings of the 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2008), 2008

An Automatic and Scalable Testing Tool for Workflow Systems.
Proceedings of the Workshops at the Grid and Pervasive Computing Conference, 2008

A Maximum Weight Heuristic Method for Abstract State Computation.
Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, 2008

An Efficient Approach for Supporting Dynamic Evolutionary Change of Adaptive Workflow.
Proceedings of the Progress in WWW Research and Development, 2008

2007
AbIx: An Approach to Content-Based Approximate Query Processing in Peer-to-Peer Data Systems.
J. Comput. Sci. Technol., 2007

Mining process models with non-free-choice constructs.
Data Min. Knowl. Discov., 2007

Mining Invisible Tasks from Event Logs.
Proceedings of the Advances in Data and Web Management, 2007

Combining Smooth Graphs with Semi-supervised Learning.
Proceedings of the Advances in Data and Web Management, 2007

A machine learning approach to semi-automating workflow staff assignment.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

MuSQL: A Music Structured Query Language.
Proceedings of the Advances in Multimedia Modeling, 2007

A Novel Scheme for Watermarking Natural Language Text.
Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007

Multi-Document Summarization by Graph Matching.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Using Decision Tree Learning to Predict Workflow Activity Time Consumption.
Proceedings of the ICEIS 2007, 2007

Semi-supervised Clustering Using Incomplete Prior Knowledge.
Proceedings of the Computational Science, 2007

Organizational Modeling from Event logs.
Proceedings of the Grid and Cooperative Computing, 2007

An InnovativeWorkflow Product Structure.
Proceedings of the 31st Annual International Computer Software and Applications Conference, 2007

Transforming XPDL to Petri Nets.
Proceedings of the Business Process Management Workshops, 2007

2006
FGAC-QD: Fine-Grained Access Control Model Based on Query Decomposition Strategy.
Proceedings of the Trust and Privacy in Digital Business, Third International Conference, 2006

Organizational Programming: Hierarchy Software Construction.
Proceedings of the Eighteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2006), 2006

A Method to Improve Software Testability.
Proceedings of the 15th International Conference on Software Engineering and Data Engineering (SEDE-2006), 2006

Fingerprinting relational databases.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

A New Scheme to Fingerprint XML Data.
Proceedings of the Knowledge Discovery from XML Documents, First International Workshop, 2006

Detecting the Theft of Natural Language Text Using Birthmark.
Proceedings of the Second International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2006), 2006

Efficient Discovery of Emerging Frequent Patterns in ArbitraryWindows on Data Streams.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Privacy Preservation and Protection by Extending Generalized Partial Indices.
Proceedings of the Flexible and Efficient Information Handling, 2006

Detecting Implicit Dependencies Between Tasks from Event Logs.
Proceedings of the Frontiers of WWW Research and Development, 2006

2005
DMC: a more precise cohesion measure for classes.
Inf. Softw. Technol., 2005

An Improved Algorithm to Watermark Numeric Relational Data.
Proceedings of the Information Security Applications, 6th International Workshop, 2005

Watermarking Spatial Trajectory Database.
Proceedings of the Database Systems for Advanced Applications, 2005

2004
Rules Discovery from Cross-Sectional Short-Length Time Series.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Dynamic Symbolization of Streaming Time Series.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Real-time environment map interpolation.
Proceedings of the Third International Conference on Image and Graphics, 2004

Symbolization of Mobile Object Trajectories with the Support to Motion Data Mining.
Proceedings of the Conceptual Modeling for Advanced Application Domains, 2004

2003
A New Heuristic Reduct Algorithm Base on Rough Sets Theory.
Proceedings of the Advances in Web-Age Information Management, 2003

Clustering Individuals in Non-vector Data and Predicting: A Novel Model-Based Approach.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

GridFS: A Web-Based Data Grid for the Distributed Sharing of Educational Resource Files.
Proceedings of the Advances in Web-Based Learning, 2003

GridFS: A Web-Based Data Grid with P2P Concepts and Writable Replicas.
Proceedings of the Digital Libraries: Technology and Management of Indigenous Knowledge for Global Access, 2003

GFS-Btree: A Scalable Peer-to-Peer Overlay Network for Lookup Service.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

DRC: A Dependence Relationships Based Cohesion Measure for Classes.
Proceedings of the 10th Asia-Pacific Software Engineering Conference (APSEC 2003), 2003

2002
Modeling workflow processes with colored Petri nets.
Comput. Ind., 2002

2000
A Strategy for Persistent Object Service under CORBA and WEB Environment.
Proceedings of the TOOLS Asia 2000: 36th International Conference on Technology of Object-Oriented Languages and Systems, Xi'an, China, 30 October, 2000


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