Haifeng Chen

Orcid: 0000-0002-9363-738X

According to our database1, Haifeng Chen authored at least 248 papers between 2001 and 2024.

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Bibliography

2024
Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent.
CoRR, 2024

Feature Selection as Deep Sequential Generative Learning.
CoRR, 2024

InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.
CoRR, 2024

Parametric Augmentation for Time Series Contrastive Learning.
CoRR, 2024

Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models.
CoRR, 2024

Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton.
CoRR, 2024

Multi-modal Causal Structure Learning and Root Cause Analysis.
CoRR, 2024

Interpretable Imitation Learning with Dynamic Causal Relations.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
Quantitative T2 mapping monitoring the maturation of engineered elastic cartilage in a rabbit model.
BMC Medical Imaging, December, 2023

Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning.
IEEE Trans. Knowl. Data Eng., July, 2023

Multi-Modal and Multi-Scale Fusion 3D Object Detection of 4D Radar and LiDAR for Autonomous Driving.
IEEE Trans. Veh. Technol., May, 2023

Correction to "Multicomponent Seismic Data Reconstruction via a Biquaternion-Based Vector POCS Method".
IEEE Trans. Geosci. Remote. Sens., 2023

Multicomponent Seismic Data Reconstruction via a Biquaternion-Based Vector POCS Method.
IEEE Trans. Geosci. Remote. Sens., 2023

Region Attentive Action Unit Intensity Estimation With Uncertainty Weighted Multi-Task Learning.
IEEE Trans. Affect. Comput., 2023

A Novel Staggered Double-Segmented Grating Slow-Wave Structure for 340 GHz Traveling-Wave Tube.
Sensors, 2023

Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation.
CoRR, 2023

DyExplainer: Explainable Dynamic Graph Neural Networks.
CoRR, 2023

A Survey on Detection of LLMs-Generated Content.
CoRR, 2023

Open-ended Commonsense Reasoning with Unrestricted Answer Scope.
CoRR, 2023

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.
CoRR, 2023

A Survey of Heterogeneous Transfer Learning.
CoRR, 2023

Zero-Shot Detection of Machine-Generated Codes.
CoRR, 2023

Distantly-Supervised Joint Entity and Relation Extraction with Noise-Robust Learning.
CoRR, 2023

Large Language Models Can Be Good Privacy Protection Learners.
CoRR, 2023

Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.
CoRR, 2023

Dynamic DAG Discovery for Interpretable Imitation Learning.
CoRR, 2023

Pursuing Counterfactual Fairness via Sequential Autoencoder Across Domains.
CoRR, 2023

Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty.
CoRR, 2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR, 2023

DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text.
CoRR, 2023

Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis.
CoRR, 2023

Dynamic Prompting: A Unified Framework for Prompt Tuning.
CoRR, 2023

Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization.
CoRR, 2023

Knowledge-enhanced Neural Machine Reasoning: A Review.
CoRR, 2023

Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization.
CoRR, 2023

Temporal Graph Based Incident Analysis System for Internet of Things.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semi-Supervised Multimodal Emotion Recognition with Class-Balanced Pseudo-labeling.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Interdependent Causal Networks for Root Cause Localization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Incremental Causal Graph Learning for Online Root Cause Analysis.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Personalized Federated Learning under Mixture of Distributions.
Proceedings of the International Conference on Machine Learning, 2023

GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023

Multi-Label Temporal Evidential Neural Networks for Early Event Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning.
Proceedings of the 26th International Conference on Information Fusion, 2023

Open-ended Commonsense Reasoning with Unrestricted Answer Candidates.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Adaptation Speed Analysis for Fairness-aware Causal Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Enhancing Temperature Immunity of Digital Circuit Against Aging : The Standard Cell Subset Method.
Proceedings of the 15th IEEE International Conference on ASIC, 2023

Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Time Series Contrastive Learning with Information-Aware Augmentations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Detection and Identification Method of Drilling Total Hydrocarbon Gas Based on Infrared Spectroscopy and KL+BP-RBF Algorithm.
IEEE Trans. Instrum. Meas., 2022

3D Histogram Based Anomaly Detection for Categorical Sensor Data in Internet of Things.
Open J. Internet Things, 2022

Research on lithology identification method based on mechanical specific energy principle and machine learning theory.
Expert Syst. Appl., 2022

Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series.
CoRR, 2022

Explainable Anomaly Detection System for Categorical Sensor Data in Internet of Things.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Multi-source Inductive Knowledge Graph Transfer.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Uncertainty-Aware Semi-Supervised Learning of 3D Face Rigging from Single Image.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Learning Disentangled Representations for Time Series.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Personalized Federated Learning via Heterogeneous Modular Networks.
Proceedings of the IEEE International Conference on Data Mining, 2022

DeepGAR: Deep Graph Learning for Analogical Reasoning.
Proceedings of the IEEE International Conference on Data Mining, 2022

Seed: Sound Event Early Detection Via Evidential Uncertainty.
Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Federated Anomaly Detection for Multivariate Time Series Data.
Proceedings of the IEEE International Conference on Big Data, 2022

Towards Robust Graph Neural Networks via Adversarial Contrastive Learning.
Proceedings of the IEEE International Conference on Big Data, 2022

Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Inductive Contextual Relation Learning for Personalization.
ACM Trans. Inf. Syst., 2021

Transformer Encoder With Multi-Modal Multi-Head Attention for Continuous Affect Recognition.
IEEE Trans. Multim., 2021

Technical research on realizing remote intelligent diagnosis of petroleum drilling loss circulation under smart city strategy.
Future Gener. Comput. Syst., 2021

Anomalous Event Sequence Detection.
IEEE Intell. Syst., 2021

Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?
CoRR, 2021

Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment.
CoRR, 2021

Learning Disentangled Representations for Time Series.
CoRR, 2021

Unsupervised Document Embedding via Contrastive Augmentation.
CoRR, 2021

An Approximate Inference Scheme Based on Distance-Induced Relations: Weld Forming Prediction.
IEEE Access, 2021

A Pruning Optimized Fast Learn++NSE Algorithm.
IEEE Access, 2021

Learning to Drop: Robust Graph Neural Network via Topological Denoising.
Proceedings of the WSDM '21, 2021

SIGL: Securing Software Installations Through Deep Graph Learning.
Proceedings of the 30th USENIX Security Symposium, 2021

Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

InfoGCL: Information-Aware Graph Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Direct-write 3D printed self-supporting flexible microstructure devices.
Proceedings of the 16th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2021

Unsupervised Concept Representation Learning for Length-Varying Text Similarity.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Temporal Attentive Adversarial Domain Adaption for Cross Cultural Affect Recognition.
Proceedings of the ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal, QC, Canada, October 18, 2021

Aspect-based Sentiment Classification via Reinforcement Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021

AutoOD: Neural Architecture Search for Outlier Detection.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Delay-Limited Performance Analysis of NOMA-enabled Satellite Internet of Things.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

UTrack: Enterprise User Tracking Based on OS-Level Audit Logs.
Proceedings of the CODASPY '21: Eleventh ACM Conference on Data and Application Security and Privacy, 2021

Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Multi-Task Recurrent Modular Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce.
CoRR, 2020

AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning.
CoRR, 2020

Identification of population-level differentially expressed genes in one-phenotype data.
Bioinform., 2020

Green Product Supply Chain Coordination Under Demand Uncertainty.
IEEE Access, 2020

Integrated Strapdown Missile Guidance and Control With Field-of-View Constraint and Actuator Saturation.
IEEE Access, 2020

Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Temporal Context-Aware Representation Learning for Question Routing.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Interpretable Click-Through Rate Prediction through Hierarchical Attention.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Anomaly Detection on Web-User Behaviors Through Deep Learning.
Proceedings of the Security and Privacy in Communication Networks, 2020

Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Parameterized Explainer for Graph Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis.
Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

At the Speed of Sound: Efficient Audio Scene Classification.
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

RULENet: End-to-end Learning with the Dual-estimator for Remaining Useful Life Estimation.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

Robust Graph Representation Learning via Neural Sparsification.
Proceedings of the 37th International Conference on Machine Learning, 2020

Inductive and Unsupervised Representation Learning on Graph Structured Objects.
Proceedings of the 8th International Conference on Learning Representations, 2020

T<sup>2</sup>-Net: A Semi-supervised Deep Model for Turbulence Forecasting.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

APTrace: A Responsive System for Agile Enterprise Level Causality Analysis.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Mining Multivariate Discrete Event Sequences for Knowledge Discovery and Anomaly Detection.
Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2020

Vessels: efficient and scalable deep learning prediction on trusted processors.
Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
GaitGANv2: Invariant gait feature extraction using generative adversarial networks.
Pattern Recognit., 2019

Research on sensor error compensation of comprehensive logging unit based on machine learning.
J. Intell. Fuzzy Syst., 2019

Heterogeneous Graph Matching Networks.
CoRR, 2019

Adversarial Defense Framework for Graph Neural Network.
CoRR, 2019

EKF Based Fuzzy PI Controlled Speed Sensorless Power Optimal Control of a Direct Drive Power System.
IEEE Access, 2019

Clairvoyant Networks.
Proceedings of the Network Traffic Measurement and Analysis Conference, 2019

Deep Co-Clustering.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Efficient Spatial Temporal Convolutional Features for Audiovisual Continuous Affect Recognition.
Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop, 2019

Heterogeneous Graph Matching Networks for Unknown Malware Detection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Self-Attentive Attributed Network Embedding Through Adversarial Learning.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Adaptive Neural Network for Node Classification in Dynamic Networks.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Learning Robust Representations with Graph Denoising Policy Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Progressive processing of system-behavioral query.
Proceedings of the 35th Annual Computer Security Applications Conference, 2019

Audio Visual Multimodal Classification of Bipolar Disorder Episodes.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Deep Program Reidentification: A Graph Neural Network Solution.
CoRR, 2018

Learning IP network representations.
Comput. Commun. Rev., 2018

Co-Regularized Deep Multi-Network Embedding.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Deep Learning IP Network Representations.
Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 2018

Bipolar Disorder Recognition with Histogram Features of Arousal and Body Gestures.
Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, 2018

Learning Deep Network Representations with Adversarially Regularized Autoencoders.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

TINET: Learning Invariant Networks via Knowledge Transfer.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Image Restoration Method for Non-uniform Blurred Images.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Application of Improved Kalman Filter in High Precision Electronic Scales.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

Piecewise Linear Interpolation Algorithm in the High Precision Electronic System.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection.
Proceedings of the 6th International Conference on Learning Representations, 2018

TGNet: Learning to Rank Nodes in Temporal Graphs.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations.
ACM Trans. Knowl. Discov. Data, 2017

Invariant feature extraction for gait recognition using only one uniform model.
Neurocomputing, 2017

Link Prediction with Spatial and Temporal Consistency in Dynamic Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Blind image restoration utilizing total variation regularization, shock filter and gradient reliability map.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

PSF estimation using total variation regularization and shock filter for blind deconvolution.
Proceedings of the IEEE International Conference on Consumer Electronics, 2017

GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Identifying and quantifying nonlinear structured relationships in complex manufactural systems.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
A Rational Design, Synthesis, Biological Evaluation and Structure-Activity Relationship Study of Novel Inhibitors against Cyanobacterial Fructose-1, 6-bisphosphate Aldolase.
J. Chem. Inf. Model., 2016

GID: Graph-based Intrusion Detection on Massive Process Traces for Enterprise Security Systems.
CoRR, 2016

WALT: fast and accurate read mapping for bisulfite sequencing.
Bioinform., 2016

Integrating Community and Role Detection in Information Networks.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Annealed Sparsity via Adaptive and Dynamic Shrinking.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Artificial fish swarm algorithm in industrial process alarm threshold optimization.
Proceedings of the 16th International Symposium on Communications and Information Technologies, 2016

Robust Online Time Series Prediction with Recurrent Neural Networks.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015
Salient object detection based on meanshift filtering and fusion of colour information.
IET Image Process., 2015

Semi-supervised Multivariate Sequential Pattern Mining.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Optical Characteristics of Antireflection of SiN Layer on the Si Substrate.
Proceedings of the Information Technology and Intelligent Transportation Systems, 2015

Time Series Segmentation to Discover Behavior Switching in Complex Physical Systems.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Quality Control Engine for Complex Physical Systems.
Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2015

2014
Proactive Workload Management in Hybrid Cloud Computing.
IEEE Trans. Netw. Serv. Manag., 2014

Modeling and analytics for cyber-physical systems in the age of big data.
SIGMETRICS Perform. Evaluation Rev., 2014

Multi-agent Based Clinical Knowledge Representation with Its Dynamic Parse and Execution.
Proceedings of the Health Information Science - Third International Conference, 2014

Extracting discriminative shapelets from heterogeneous sensor data.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Network-aware coordination of virtual machine migrations in enterprise data centers and clouds.
Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013), 2013

A Data Analytic Engine Towards Self-Management of Cyber-Physical Systems.
Proceedings of the 33rd International Conference on Distributed Computing Systems Workshops (ICDCS 2013 Workshops), 2013

Fault detection and localization in distributed systems using invariant relationships.
Proceedings of the 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2013

Modeling heterogeneous time series dynamics to profile big sensor data in complex physical systems.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Research on Localization of Apples Based on Binocular Stereo Vision Marked by Cancroids Matching.
Proceedings of the Third International Conference on Digital Manufacturing & Automation, 2012

2011
ASD: a comprehensive database of allosteric proteins and modulators.
Nucleic Acids Res., 2011

Ranking the importance of alerts for problem determination in large computer systems.
Clust. Comput., 2011

Untangling mixed information to calibrate resource utilization in virtual machines.
Proceedings of the 8th International Conference on Autonomic Computing, 2011

Application Behavior Mapping across Heterogeneous Hardware Platforms.
Proceedings of the IEEE Ninth International Conference on Dependable, 2011

A wireless EEG monitor system based on BSN node.
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

2010
Understanding Internet Video sharing site workload: A view from data center design.
J. Vis. Commun. Image Represent., 2010

A WBAN-based Real-time Electroencephalogram Monitoring System: Design and Implementation.
J. Medical Syst., 2010

A Cooperative Sampling Approach to Discovering Optimal Configurations in Large Scale Computing Systems.
Proceedings of the 29th IEEE Symposium on Reliable Distributed Systems (SRDS 2010), New Delhi, Punjab, India, October 31, 2010

Invariants Based Failure Diagnosis in Distributed Computing Systems.
Proceedings of the 29th IEEE Symposium on Reliable Distributed Systems (SRDS 2010), New Delhi, Punjab, India, October 31, 2010

VCAE: A Virtualization and Consolidation Analysis Engine for Large Scale Data Centers.
Proceedings of the Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2010

Modeling and Simulation of Two-Leaf Semi-rotary VAWT.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

A wireless EEG monitor system based on BSN node.
Proceedings of the ACM International Health Informatics Symposium, 2010

PeerWatch: a fault detection and diagnosis tool for virtualized consolidation systems.
Proceedings of the 7th International Conference on Autonomic Computing, 2010

2009
Experience transfer for the configuration tuning in large scale computing systems.
SIGMETRICS Perform. Evaluation Rev., 2009

Fast Indexing for Large-scale Networked System Modeling.
J. Networks, 2009

Intelligent Workload Factoring for a Hybrid Cloud Computing Model.
Proceedings of the 2009 IEEE Congress on Services, Part I, 2009

Boosting the performance of computing systems through adaptive configuration tuning.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

A gradient oriented recombination scheme for evolution strategies.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Estimation of Heart Rate Variability Changes during Different Visual Stimulations Using Non-invasive Continuous ECG Monitoring System.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems.
Proceedings of the 29th IEEE International Conference on Distributed Computing Systems (ICDCS 2009), 2009

Resilient workload manager: taming bursty workload of scaling internet applications.
Proceedings of the 6th International Conference on Autonomic Computing, 2009

Design of Portable Multi-Channel EEG Signal Acquisition System.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2008
Monitoring High-Dimensional Data for Failure Detection and Localization in Large-Scale Computing Systems.
IEEE Trans. Knowl. Data Eng., 2008

Profiling services for resource optimization and capacity planning in distributed systems.
Clust. Comput., 2008

Correlating real-time monitoring data for mobile network management.
Proceedings of the 9th IEEE International Symposium on a World of Wireless, 2008

Automatic Profiling of Network Event Sequences: Algorithm and Applications.
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008

Measurement, Modeling, and Analysis of Internet Video Sharing Site Workload: A Case Study.
Proceedings of the 2008 IEEE International Conference on Web Services (ICWS 2008), 2008

Exploiting Local and Global Invariants for the Management of Large Scale Information Systems.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Autotuning Configurations in Distributed Systems for Performance Improvements Using Evolutionary Strategies.
Proceedings of the 28th IEEE International Conference on Distributed Computing Systems (ICDCS 2008), 2008

Enabling Information Confidentiality in Publish/Subscribe Overlay Services.
Proceedings of IEEE International Conference on Communications, 2008

2007
Multiresolution Abnormal Trace Detection Using Varied-Length n-Grams and Automata.
IEEE Trans. Syst. Man Cybern. Part C, 2007

Online Tracking of Component Interactions for Failure Detection and Localization in Distributed Systems.
IEEE Trans. Syst. Man Cybern. Part C, 2007

Efficient and Scalable Algorithms for Inferring Likely Invariants in Distributed Systems.
IEEE Trans. Knowl. Data Eng., 2007

Failure Detection in Large-Scale Internet Services by Principal Subspace Mapping.
IEEE Trans. Knowl. Data Eng., 2007

Nonlinear Feature Selection by Relevance Feature Vector Machine.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Development of a Portable EEG Monitoring System based on WLAN.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007

Development of a Tiny Computer-Assisted Wireless EEG Biofeedback System.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2007

Measurement and Analysis of "Yes" and "No" Responses by Auditory Stimuli Questions in Human EEG.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007

2006
Modeling and Tracking of Transaction Flow Dynamics for Fault Detection in Complex Systems.
IEEE Trans. Dependable Secur. Comput., 2006

Discovering likely invariants of distributed transaction systems for autonomic system management.
Clust. Comput., 2006

Combining supervised and unsupervised monitoring for fault detection in distributed computing systems.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Fault Detection in Distributed Systems by Representative Subspace Mapping.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Robust Nonlinear Dimensionality Reduction for Manifold Learning.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Tracking Probabilistic Correlation of Monitoring Data for Fault Detection in Complex Systems.
Proceedings of the 2006 International Conference on Dependable Systems and Networks (DSN 2006), 2006

2005
Robust fusion of uncertain information.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Superstructure Searching Algorithm for Generic Reaction Retrieval.
J. Chem. Inf. Model., 2005

Computational Studies and Drug Design for HIV-1 Reverse Transcriptase Inhibitors of 3′, 4′-di-O-(S)-camphanoyl-(+)-cis-Khellactone (DCK) Analogs.
J. Comput. Aided Mol. Des., 2005

Failure detection and localization in component based systems by online tracking.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Multi-resolution Abnormal Trace Detection Using Varied-length N-grams and Automata.
Proceedings of the Second International Conference on Autonomic Computing (ICAC 2005), 2005

2004
Comparative Study of QSAR/QSPR Correlations Using Support Vector Machines, Radial Basis Function Neural Networks, and Multiple Linear Regression.
J. Chem. Inf. Model., 2004

Model Based Object Recognition by Robust Information Fusion.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Robust Regression with Projection Based M-estimators.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
Robust Computer Vision through Kernel Density Estimation.
Proceedings of the Computer Vision, 2002

2001
Robust Regression for Data with Multiple Structures.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001


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