Jie Zhang

Orcid: 0000-0001-8996-7581

Affiliations:
  • Nanyang Technological University, School of Computer Engineering, Singapore
  • University of Waterloo, Cheriton School of Computer Science, ON, Canada (PhD 2009)


According to our database1, Jie Zhang authored at least 339 papers between 2004 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning Feature Embedding Refiner for Solving Vehicle Routing Problems.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Aspect-Aware Graph Attention Network for Heterogeneous Information Networks.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals.
ACM Trans. Inf. Syst., January, 2024

Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System.
ACM Trans. Inf. Syst., January, 2024

Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024

Cross-domain continual learning via CLAMP.
Inf. Sci., 2024

Learning to Handle Complex Constraints for Vehicle Routing Problems.
CoRR, 2024

SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery.
CoRR, 2024

Collaboration! Towards Robust Neural Methods for Routing Problems.
CoRR, 2024

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.
CoRR, 2024

The Crowd in MOOCs: A Study of Learning Patterns at Scale.
CoRR, 2024

Leveraging Knowledge Graph Embedding for Effective Conversational Recommendation.
CoRR, 2024

Cross-Domain Continual Learning via CLAMP.
CoRR, 2024

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation.
CoRR, 2024

Large Language Model with Graph Convolution for Recommendation.
CoRR, 2024

Configurable Fairness for New Item Recommendation Considering Entry Time of Items.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Unified Denoising Training for Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Disentangled Multi-interest Representation Learning for Sequential Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Cross-Domain Continual Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Neural Airport Ground Handling.
IEEE Trans. Intell. Transp. Syst., December, 2023

Conversation-Based Adaptive Relational Translation Method for Next POI Recommendation With Uncertain Check-Ins.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach.
IEEE Trans. Knowl. Data Eng., October, 2023

Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning.
Auton. Agents Multi Agent Syst., October, 2023

Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling.
IEEE Trans. Knowl. Data Eng., September, 2023

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

SelfCF: A Simple Framework for Self-supervised Collaborative Filtering.
Trans. Recomm. Syst., June, 2023

Learning to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming.
IEEE Trans. Cybern., May, 2023

Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., January, 2023

A Semi-Centralized Trust Management Model Based on Blockchain for Data Exchange in IoT System.
IEEE Trans. Serv. Comput., 2023

A Critical Study on Data Leakage in Recommender System Offline Evaluation.
ACM Trans. Inf. Syst., 2023

Dynamic Opinion Maximization in Social Networks.
IEEE Trans. Knowl. Data Eng., 2023

A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations.
IEEE Trans. Ind. Informatics, 2023

An Augmented Index-based Efficient Community Search for Large Directed Graphs.
CoRR, 2023

Enhancing Job Recommendation through LLM-based Generative Adversarial Networks.
CoRR, 2023

Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?
CoRR, 2023

Retraining A Graph-based Recommender with Interests Disentanglement.
CoRR, 2023

WSDM 2023 Workshop on Interactive Recommender Systems.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Multi-view graph contrastive learning for solving vehicle routing problems.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems.
Proceedings of the International Conference on Machine Learning, 2023

Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
VRepChain: A Decentralized and Privacy-Preserving Reputation System for Social Internet of Vehicles Based on Blockchain.
IEEE Trans. Veh. Technol., 2022

Learning Improvement Heuristics for Solving Routing Problems.
IEEE Trans. Neural Networks Learn. Syst., 2022

Point-of-Interest Recommendation for Users-Businesses With Uncertain Check-ins.
IEEE Trans. Knowl. Data Eng., 2022

Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2022

GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks.
IEEE Trans. Intell. Transp. Syst., 2022

TriATNE: Tripartite Adversarial Training for Network Embeddings.
IEEE Trans. Cybern., 2022

Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem.
IEEE Trans. Cybern., 2022

Deep Reinforcement Learning Framework for Category-Based Item Recommendation.
IEEE Trans. Cybern., 2022

Disentangling Multi-Facet Social Relations for Recommendation.
IEEE Trans. Comput. Soc. Syst., 2022

ACDC: Online unsupervised cross-domain adaptation.
Knowl. Based Syst., 2022

Learning variable ordering heuristics for solving Constraint Satisfaction Problems.
Eng. Appl. Artif. Intell., 2022

Decision-making with Imaginary Opponent Models.
CoRR, 2022

Learning to Search for Job Shop Scheduling via Deep Reinforcement Learning.
CoRR, 2022

A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals.
CoRR, 2022

Recommender May Not Favor Loyal Users.
CoRR, 2022

A sub-action aided deep reinforcement learning framework for latency-sensitive network slicing.
Comput. Networks, 2022

Integrating social influence modeling and user modeling for trust prediction in signed networks.
Artif. Intell., 2022

Prototype Feature Extraction for Multi-task Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Class-Incremental Learning via Knowledge Amalgamation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Graph Learning Assisted Multi-Objective Integer Programming.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective.
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning to Solve Routing Problems via Distributionally Robust Optimization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Guest Editors' Introduction: Special Issue on Latest Developments for Security Management of Networks and Services.
IEEE Trans. Netw. Serv. Manag., 2021

Step-Wise Deep Learning Models for Solving Routing Problems.
IEEE Trans. Ind. Informatics, 2021

Hierarchical attentive knowledge graph embedding for personalized recommendation.
Electron. Commer. Res. Appl., 2021

Exploiting Human Trust to Improve Recommender Systems.
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

Adaptive Holding for Online Bottleneck Matching with Delays.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Large Neighborhood Search Policy for Integer Programming.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Information Theoretical Analysis of Unfair Rating Attacks Under Subjectivity.
IEEE Trans. Inf. Forensics Secur., 2020

Learning Network Representations With Different Order Structural Information.
IEEE Trans. Comput. Soc. Syst., 2020

Cost-sensitive deep forest for price prediction.
Pattern Recognit., 2020

Modeling hierarchical category transition for next POI recommendation with uncertain check-ins.
Inf. Sci., 2020

A 2020 perspective on "A generalized stereotype learning approach and its instantiation in trust modeling".
Electron. Commer. Res. Appl., 2020

Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction.
CoRR, 2020

On Offline Evaluation of Recommender Systems.
CoRR, 2020

A Re-visit of the Popularity Baseline in Recommender Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

An Attentional Recurrent Neural Network for Personalized Next Location Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Introduction to the Special Section on Trust and AI.
ACM Trans. Internet Techn., 2019

Exploring Communities in Large Profiled Graphs.
IEEE Trans. Knowl. Data Eng., 2019

Securing Android App Markets via Modeling and Predicting Malware Spread Between Markets.
IEEE Trans. Inf. Forensics Secur., 2019

A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty.
J. Artif. Intell. Res., 2019

Improving IoT Data Quality in Mobile Crowd Sensing: A Cross Validation Approach.
IEEE Internet Things J., 2019

Research commentary on recommendations with side information: A survey and research directions.
Electron. Commer. Res. Appl., 2019

Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems.
CoRR, 2019

Learning Improvement Heuristics for Solving the Travelling Salesman Problem.
CoRR, 2019

Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning.
CoRR, 2019

Attentive Knowledge Graph Embedding for Personalized Recommendation.
CoRR, 2019

Which Channel to Ask My Question?: Personalized Customer Service Request Stream Routing Using Deep Reinforcement Learning.
IEEE Access, 2019

ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks.
Proceedings of the Web Engineering - 19th International Conference, 2019

MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Exploring Communities in Large Profiled Graphs (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Supervised User Ranking in Signed Social Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Multiagent-Based Approach for Vehicle Routing by Considering Both Arriving on Time and Total Travel Time.
ACM Trans. Intell. Syst. Technol., 2018

A Bayesian Multiagent Trust Model for Social Networks.
IEEE Trans. Comput. Soc. Syst., 2018

Toward General Robustness Evaluation of Incentive Mechanism Against Bounded Rationality.
IEEE Trans. Comput. Soc. Syst., 2018

An agent-based simulation system for multi-project scheduling under uncertainty.
Simul. Model. Pract. Theory, 2018

ACM UMAP 2018 - User Modeling, Adaptation and Personalization: 8-11 July, 2018 at NTU, Singapore.
SIGWEB Newsl., 2018

BPRH: Bayesian personalized ranking for heterogeneous implicit feedback.
Inf. Sci., 2018

A generalized stereotype learning approach and its instantiation in trust modeling.
Electron. Commer. Res. Appl., 2018

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing.
CoRR, 2018

Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Recurrent knowledge graph embedding for effective recommendation.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Novel Strategy for Active Task Assignment in Crowd Labeling.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

MASA: Multi-Agent Subjectivity Alignment for Trustworthy Internet of Things.
Proceedings of the 21st International Conference on Information Fusion, 2018

An Operation Network for Abstractive Sentence Compression.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Risk-Aware Proactive Scheduling via Conditional Value-at-Risk.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

FILE: A Novel Framework for Predicting Social Status in Signed Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

POMDP-Based Decision Making for Fast Event Handling in VANETs.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Collusive Opinion Fraud Detection in Online Reviews: A Probabilistic Modeling Approach.
ACM Trans. Web, 2017

Integrating Trust with User Preference for Effective Web Service Composition.
IEEE Trans. Serv. Comput., 2017

A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion.
IEEE Trans. Intell. Transp. Syst., 2017

Auditing Anti-Malware Tools by Evolving Android Malware and Dynamic Loading Technique.
IEEE Trans. Inf. Forensics Secur., 2017

Routing Multiple Vehicles Cooperatively: Minimizing Road Network Breakdown Probability.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

CONGRESS: A Hybrid Reputation System for Coping with Rating Subjectivity.
IEEE Trans. Comput. Soc. Syst., 2017

Factored similarity models with social trust for top-N item recommendation.
Knowl. Based Syst., 2017

Measuring similarity of users with qualitative preferences for service selection.
Knowl. Inf. Syst., 2017

An Efficient Fog-Assisted Unstable Sensor Detection Scheme with Privacy Preserved.
CoRR, 2017

Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation.
AI Mag., 2017

A multi-unit combinatorial auction based approach for decentralized multi-project scheduling.
Auton. Agents Multi Agent Syst., 2017

Filtering unfair ratings from dishonest advisors in multi-criteria e-markets: a biclustering-based approach.
Auton. Agents Multi Agent Syst., 2017

A Unified Latent Factor Model for Effective Category-Aware Recommendation.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Aspect-aware Point-of-Interest Recommendation with Geo-Social Influence.
Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Learning hierarchical category influence on both users and items for effective recommendation.
Proceedings of the Symposium on Applied Computing, 2017

CitRec 2017: International Workshop on Recommender Systems for Citizens.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Joint Subjective Opinions.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2017

Multiagent-based cooperative vehicle routing using node pressure and auctions.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Online Reputation Fraud Campaign Detection in User Ratings.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Optimal Posted-Price Mechanism in Microtask Crowdsourcing.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Flexible Privacy-Preserving Framework for Singular Value Decomposition Under Internet of Things Environment.
Proceedings of the Trust Management XI - 11th IFIP WG 11.11 International Conference, 2017

Multi-source trust revision.
Proceedings of the 20th International Conference on Information Fusion, 2017

Multi-source fusion in subjective logic.
Proceedings of the 20th International Conference on Information Fusion, 2017

Interacting Attention-gated Recurrent Networks for Recommendation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

A Trust-based Mixture of Gaussian Processes Model for Robust Participatory Sensing.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Proactive Project Scheduling with Time-dependent Workability Uncertainty.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Automatic Construction of Agent-based Simulation Using Business Process Diagrams and Ontology-based Models.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Rethinking the Link Prediction Problem in Signed Social Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Novel Evidence-Based Bayesian Similarity Measure for Recommender Systems.
ACM Trans. Web, 2016

Improving the Efficiency of Stochastic Vehicle Routing: A Partial Lagrange Multiplier Method.
IEEE Trans. Veh. Technol., 2016

A Novel Recommendation Model Regularized with User Trust and Item Ratings.
IEEE Trans. Knowl. Data Eng., 2016

Finding the Shortest Path in Stochastic Vehicle Routing: A Cardinality Minimization Approach.
IEEE Trans. Intell. Transp. Syst., 2016

Improved EGT-Based Robustness Analysis of Negotiation Strategies in Multiagent Systems via Model Checking.
IEEE Trans. Hum. Mach. Syst., 2016

An ontological representation for trust-based decision making in transportation environments.
Multiagent Grid Syst., 2016

ProMoca: Probabilistic Modeling and Analysis of Agents in Commitment Protocols.
J. Artif. Intell. Res., 2016

A simulation framework for measuring robustness of incentive mechanisms and its implementation in reputation systems.
Auton. Agents Multi Agent Syst., 2016

Effective Recommendation with Category Hierarchy.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Semantic modelling of Android malware for effective malware comprehension, detection, and classification.
Proceedings of the 25th International Symposium on Software Testing and Analysis, 2016

A Distributed and Scalable Machine Learning Approach for Big Data.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

How to Use Information Theory to Mitigate Unfair Rating Attacks.
Proceedings of the Trust Management X - 10th IFIP WG 11.11 International Conference, 2016

Limitations on Robust Ratings and Predictions.
Proceedings of the Trust Management X - 10th IFIP WG 11.11 International Conference, 2016

Mystique: Evolving Android Malware for Auditing Anti-Malware Tools.
Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, 2016

Collusion-resistant Spatial Phenomena Crowdsourcing via Mixture of Gaussian Processes Regression.
Proceedings of the 18th International Workshop on Trust in Agent Societies co-located with the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), 2016

Decentralized Multi-Project Scheduling via Multi-Unit Combinatorial Auction.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

A Language for Trust Modelling.
Proceedings of the Autonomous Agents and Multiagent Systems - AAMAS 2016 Workshops, - Visionary Papers, 2016

Is It Harmful When Advisors Only Pretend to Be Honest?
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Efficient Computation of Emergent Equilibrium in Agent-Based Simulation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A personalized credibility model for recommending messages in social participatory media environments.
World Wide Web, 2015

Introduction to Theme Section on Trust in Social Networks and Systems.
ACM Trans. Internet Techn., 2015

Toward Energy-Efficient Trust System Through Watchdog Optimization for WSNs.
IEEE Trans. Inf. Forensics Secur., 2015

A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm.
IEEE Trans. Cybern., 2015

A priori trust inference with context-aware stereotypical deep learning.
Knowl. Based Syst., 2015

Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems.
Knowl. Based Syst., 2015

A Case-Based Reasoning Framework to Choose Trust Models for Different E-Marketplace Environments.
J. Artif. Intell. Res., 2015

Multi-faceted trust and distrust prediction for recommender systems.
Decis. Support Syst., 2015

Collaborative Security: A Survey and Taxonomy.
ACM Comput. Surv., 2015

Scaling POMDPs For Selecting Sellers in E-markets-Extended Version.
CoRR, 2015

An Incentive Mechanism to Elicit Truthful Opinions for Crowdsourced Multiple Choice Consensus Tasks.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Automated Agent Behavior Construction for Protocol-Based Multiagent Systems.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Exploiting Implicit Item Relationships for Recommender Systems.
Proceedings of the User Modeling, Adaptation and Personalization, 2015

LibRec: A Java Library for Recommender Systems.
Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015

Combating Product Review Spam Campaigns via Multiple Heterogeneous Pairwise Features.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Quantifying Robustness of Trust Systems against Collusive Unfair Rating Attacks Using Information Theory.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Secure Routing in Wireless Sensor Networks via POMDPs.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Optimal and Effective Web Service Composition with Trust and User Preference.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Towards Collusive Fraud Detection in Online Reviews.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

An Agent-based Simulation System for Dynamic Project Scheduling and Online Disruption Resolving.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Using Information Theory to Improve the Robustness of Trust Systems.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

The Fallacy of Endogenous Discounting of Trust Recommendations.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Improving Sybil Detection via Graph Pruning and Regularization Techniques.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Automated Analysis of Commitment Protocols Using Probabilistic Model Checking.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

A Reputation Revision Mechanism to Mitigate the Negative Effects of Misreported Ratings.
Proceedings of the 17th International Conference on Electronic Commerce 2015, 2015

2014
Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization.
IEEE Trans. Cybern., 2014

Merging trust in collaborative filtering to alleviate data sparsity and cold start.
Knowl. Based Syst., 2014

Estimating feature ratings through an effective review selection approach.
Knowl. Inf. Syst., 2014

Multiobjective optimization based on reputation.
Inf. Sci., 2014

An incentive mechanism designed for e-marketplaces with limited inventory.
Electron. Commer. Res. Appl., 2014

Leveraging prior ratings for recommender systems in e-commerce.
Electron. Commer. Res. Appl., 2014

Reputation mechanism for e-commerce in virtual reality environments.
Electron. Commer. Res. Appl., 2014

A Super-Agent-Based Framework for Reputation Management and Community Formation in Decentralized Systems.
Comput. Intell., 2014

An Integrated Clustering-Based Approach to Filtering Unfair Multi-Nominal Testimonies.
Comput. Intell., 2014

Trust-oriented buyer strategies for seller reporting and selection in competitive electronic marketplaces.
Auton. Agents Multi Agent Syst., 2014

SocialTrust: Adaptive Trust Oriented Incentive Mechanism for Social Commerce.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Towards Robust and Effective Trust Management for Security: A Survey.
Proceedings of the 13th IEEE International Conference on Trust, 2014

A multi-hop reputation announcement scheme for VANETs.
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014

From ratings to trust: an empirical study of implicit trust in recommender systems.
Proceedings of the Symposium on Applied Computing, 2014

Privacy preserving trusted social feedback.
Proceedings of the Symposium on Applied Computing, 2014

Routing multiple cars in large scale networks: Minimizing road network breakdown probability.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

A data-driven method for stochastic shortest path problem.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Exploiting Trust and Distrust Information to Combat Sybil Attack in Online Social Networks.
Proceedings of the Trust Management VIII - 8th IFIP WG 11.11 International Conference, 2014

On Robustness of Trust Systems.
Proceedings of the Trust Management VIII - 8th IFIP WG 11.11 International Conference, 2014

An extensive model checking framework for multi-agent systems.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

A practical robustness measure of incentive mechanisms.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

A pheromone-based traffic management model for vehicle re-routing and traffic light control.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

A POMDP based approach to optimally select sellers in electronic marketplaces.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

A biclustering-based approach to filter dishonest advisors in multi-criteria e-marketplaces.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

A testbed to evaluate the robustness of reputation systems in e-marketplaces.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Subjectivity grouping: learning from users' rating behavior.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

ETAF: An extended trust antecedents framework for trust prediction.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Reputation-Aware Continuous Double Auction.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

RepRev: Mitigating the Negative Effects of Misreported Ratings.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Qualitative preference-based service selection for multiple agents.
Web Intell. Agent Syst., 2013

A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids.
ACM Trans. Intell. Syst. Technol., 2013

Trust modeling for message relay control and local action decision making in VANETs.
Secur. Commun. Networks, 2013

SocConnect: A personalized social network aggregator and recommender.
Inf. Process. Manag., 2013

Improving trust modeling through the limit of advisor network size and use of referrals.
Electron. Commer. Res. Appl., 2013

Towards effective online review systems in the Chinese context: A cross-cultural empirical study.
Electron. Commer. Res. Appl., 2013

Prior ratings: a new information source for recommender systems in e-commerce.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

A Framework to Choose Trust Models for Different E-Marketplace Environments.
Proceedings of the IJCAI 2013, 2013

A Novel Bayesian Similarity Measure for Recommender Systems.
Proceedings of the IJCAI 2013, 2013

Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity.
Proceedings of the IJCAI 2013, 2013

Recommending Messages to Users in Social Networks: A Cross-Site Study.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Uncovering collusive spammers in Chinese review websites.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Robustness evaluation of incentive mechanisms.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

An evolutionary model for constructing robust trust networks.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

A trust model stemmed from the diffusion theory for opinion evaluation.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
A Reputation-Based Announcement Scheme for VANETs.
IEEE Trans. Veh. Technol., 2012

Effective Acquaintance Management based on Bayesian Learning for Distributed Intrusion Detection Networks.
IEEE Trans. Netw. Serv. Manag., 2012

Combining Trust Modeling and Mechanism Design for promoting Honesty in E-Marketplaces.
Comput. Intell., 2012

Service Selection Based on Similarity Measurement for Conditional Qualitative Preference.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

A Context-Aware Framework for Detecting Unfair Ratings in an Unknown Real Environment.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Towards a comprehensive testbed to evaluate the robustness of reputation systems against unfair rating attack.
Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems.
Proceedings of the User Modeling, Adaptation, and Personalization, 2012

A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-Hoc Networks and Its Validation through Simulated Traffic Flow.
Proceedings of the User Modeling, Adaptation, and Personalization, 2012

Reasoning about user trustworthiness with non-binary advice from peers.
Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

Determining the Optimal Reporting Strategy in Competitive E-marketplaces.
Proceedings of the 11th IEEE International Conference on Trust, 2012

Detecting Imprudence of 'Reliable' Sellers in Online Auction Sites.
Proceedings of the 11th IEEE International Conference on Trust, 2012

Feedback as "Shadow of the Present": An Alternative to Reputation Systems for E-marketplaces.
Proceedings of the 11th IEEE International Conference on Trust, 2012

A Generalized Stereotypical Trust Model.
Proceedings of the 11th IEEE International Conference on Trust, 2012

Robustness of Trust Models and Combinations for Handling Unfair Ratings.
Proceedings of the Trust Management VI - 6th IFIP WG 11.11 International Conference, 2012

An Incentive Mechanism to Promote Honesty in E-marketplaces with Limited Inventory.
Proceedings of the Trust Management VI - 6th IFIP WG 11.11 International Conference, 2012

WCP-Nets: A Weighted Extension to CP-Nets for Web Service Selection.
Proceedings of the Service-Oriented Computing - 10th International Conference, 2012

A multiagent evolutionary framework based on trust for multiobjective optimization.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

SARC: subjectivity alignment for reputation computation.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Design of an incentive mechanism to promote honesty in e-marketplaces with limited inventory.
Proceedings of the Fourteenth International Conference on Electronic Commerce, 2012

2011
A Multifaceted Approach to Modeling Agent Trust for Effective Communication in the Application of Mobile Ad Hoc Vehicular Networks.
IEEE Trans. Syst. Man Cybern. Part C, 2011

Dirichlet-Based Trust Management for Effective Collaborative Intrusion Detection Networks.
IEEE Trans. Netw. Serv. Manag., 2011

Trust Management and Admission Control for Host-Based Collaborative Intrusion Detection.
J. Netw. Syst. Manag., 2011

Improving PGP Web of Trust through the Expansion of Trusted Neighborhood.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

The Influence of Interaction Attributes on Trust in Virtual Communities.
Proceedings of the Advances in User Modeling, 2011

Trust, Reputation and User Modeling.
Proceedings of the Advances in User Modeling, 2011

Handling Subjective User Feedback for Reputation Computation in Virtual Reality.
Proceedings of the Advances in User Modeling, 2011

Coping with Poor Advice from Peers in Peer-Based Intelligent Tutoring: The Case of Avoiding Bad Annotations of Learning Objects.
Proceedings of the User Modeling, Adaption and Personalization, 2011

IntRank: Interaction Ranking-Based Trustworthy Friend Recommendation.
Proceedings of the IEEE 10th International Conference on Trust, 2011

A Reputation Mechanism for Virtual Reality - Five-Sense Oriented Feedback Provision and Subjectivity Alignment.
Proceedings of the IEEE 10th International Conference on Trust, 2011

Design of a Reputation System Based on Dynamic Coalition Formation.
Proceedings of the Social Informatics - Third International Conference, SocInfo 2011, 2011

Improving the use of advisor networks for multi-agent trust modelling.
Proceedings of the Ninth Annual Conference on Privacy, Security and Trust, 2011

Collaborative Approaches to Complementing Qualitative Preferences of Agents for Effective Service Selection.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Multiobjective optimization by decomposition with Pareto-adaptive weight vectors.
Proceedings of the Seventh International Conference on Natural Computation, 2011

Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

iCLUB: an integrated clustering-based approach to improve the robustness of reputation systems.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

A Survey on Trust Management for VANETs.
Proceedings of the 25th IEEE International Conference on Advanced Information Networking and Applications, 2011

An Empirical Analysis of the Impact of Online Reviews on Product Sales in the Chinese Context.
Proceedings of the 25th IEEE International Conference on Advanced Information Networking and Applications, 2011

Design of a multiagent-based e-marketplace to secure service trading on the internet.
Proceedings of the 13th International Conference on Electronic Commerce, 2011

2010
A Scalable and Effective Trust-Based Framework for Vehicular Ad-Hoc Networks.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2010

Web Service Selection for Multiple Agents with Incomplete Preferences.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Effective Web Service Selection via Communities Formed by Super-Agents.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Secure and Efficient Trust Opinion Aggregation for Vehicular Ad-Hoc Networks.
Proceedings of the 72nd IEEE Vehicular Technology Conference, 2010

Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media.
Proceedings of the User Modeling, 2010

Leveraging a Social Network of Trust for Promoting Honesty in E-Marketplaces.
Proceedings of the Trust Management IV - 4th IFIP WG 11.11 International Conference, 2010

Intelligent Agents in Mobile Vehicular Ad-Hoc Networks: Leveraging Trust Modeling Based on Direct Experience with Incentives for Honesty.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2010

A Review Selection Approach for Accurate Feature Rating Estimation.
Proceedings of the COLING 2010, 2010

Effective acquaintance management for Collaborative Intrusion Detection Networks.
Proceedings of the 6th International Conference on Network and Service Management, 2010

Towards Effective Recommendation of Social Data across Social Networking Sites.
Proceedings of the Artificial Intelligence: Methodology, 2010

2009
POYRAZ: Context-Aware Service Selection under Deception.
Comput. Intell., 2009

Specialized Review Selection for Feature Rating Estimation.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Robust and scalable trust management for collaborative intrusion detection.
Proceedings of the Integrated Network Management, 2009

2008
Evaluating the trustworthiness of advice about seller agents in e-marketplaces: A personalized approach.
Electron. Commer. Res. Appl., 2008

A Detailed Comparison of Probabilistic Approaches for Coping with Unfair Ratings in Trust and Reputation Systems.
Proceedings of the Sixth Annual Conference on Privacy, Security and Trust, 2008

A Social Network Based Approach to Personalized Recommendation of Participatory Media Content.
Proceedings of the Second International Conference on Weblogs and Social Media, 2008

Trust Management for Host-Based Collaborative Intrusion Detection.
Proceedings of the Managing Large-Scale Service Deployment, 2008

A Trust-Based Incentive Mechanism for E-Marketplaces.
Proceedings of the Trust in Agent Societies, 2008

Seller Bidding in a Trust-Based Incentive Mechanism for Dynamic E-Marketplaces.
Proceedings of the Advances in Artificial Intelligence , 2008

2007
A familiarity-based trust model for effective selection of sellers in multiagent e-commerce systems.
Int. J. Inf. Sec., 2007

A Comprehensive Approach for Sharing Semantic Web Trust Ratings.
Comput. Intell., 2007

GUMSAWS: A Generic User Modeling Server for Adaptive Web Systems.
Proceedings of the Fifth Annual Conference on Communication Networks and Services Research (CNSR 2007), 2007

An incentive mechanism for eliciting fair ratings of sellers in e-marketplaces.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

Engendering Trust in Buying and Selling Agents by Discouraging the Reporting of Unfair Ratings.
Proceedings of the Interaction Challenges for Intelligent Assistants, 2007

Design of a Mechanism for Promoting Honesty in E-Marketplaces.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
An improved familiarity measurement for formalization of trust in e-commerce based multiagent systems.
Proceedings of the 2006 International Conference on Privacy, 2006

A Trust Model for Sharing Ratings of Information Providers on the Semantic Web.
Proceedings of the Canadian Semantic Web, 2006

Trusting advice from other buyers in e-marketplaces: the problem of unfair ratings.
Proceedings of the 8th International Conference on Electronic Commerce: The new e-commerce, 2006

2005
Value-Centric Trust Model with Improved Familiarity Measurement.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

PENS: A Personalized Electronic News System.
Proceedings of the Third Annual Conference on Communication Networks and Services Research (CNSR 2005), 2005

2004
Familiarity and Trust: Measuring Familiarity with a Web Site.
Proceedings of the Second Annual Conference on Privacy, 2004

The Reconstruction of User Sessions from a Server Log Using Improved Time-Oriented Heuristics.
Proceedings of the 2nd Annual Conference on Communication Networks and Services Research (CNSR 2004), 2004


  Loading...