2024
Alpha<sup>2</sup>: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning.
CoRR, 2024
On the Heterophily of Program Graphs: A Case Study of Graph-based Type Inference.
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024
Foresight Distribution Adjustment for Off-policy Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
On the Vulnerability of Graph Learning-based Collaborative Filtering.
ACM Trans. Inf. Syst., October, 2023
Hybrid API Migration: A Marriage of Small API Mapping Models and Large Language Models.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023
Data Quality Matters: A Case Study of Obsolete Comment Detection.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Auditing Network Embedding: An Edge Influence Based Approach.
IEEE Trans. Knowl. Data Eng., 2022
Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer.
CoRR, 2022
Detecting Topology Attacks against Graph Neural Networks.
CoRR, 2022
Structure Meets Sequences: Predicting Network of Co-evolving Sequences.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Fair Representation Learning: An Alternative to Mutual Information.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Combining Code Context and Fine-grained Code Difference for Commit Message Generation.
Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022
Untangling Composite Commits by Attributed Graph Clustering.
Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022
An Invisible Black-Box Backdoor Attack Through Frequency Domain.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Backdoor Attack through Frequency Domain.
CoRR, 2021
Regret Minimization Experience Replay.
CoRR, 2021
Unsupervised Attributed Network Embedding via Cross Fusion.
Proceedings of the WSDM '21, 2021
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Enhancing supervised bug localization with metadata and stack-trace.
Knowl. Inf. Syst., 2020
Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Bringing Order to Network Embedding: A Relative Ranking based Approach.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Dual-regularized one-class collaborative filtering with implicit feedback.
World Wide Web, 2019
Bug Triaging Based on Tossing Sequence Modeling.
J. Comput. Sci. Technol., 2019
A Brief Review of Network Embedding.
Big Data Min. Anal., 2019
Speedup Automatic Program Repair Using Dynamic Software Updating: An Empirical Study.
Proceedings of the Internetware '19: The 11th Asia-Pacific Symposium on Internetware, 2019
Commit Message Generation for Source Code Changes.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Discerning Edge Influence for Network Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
DeepIntent: Deep Icon-Behavior Learning for Detecting Intention-Behavior Discrepancy in Mobile Apps.
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Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019
Hashtag Recommendation for Photo Sharing Services.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
An Integral Tag Recommendation Model for Textual Content.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Subgraph Extraction for Trust Inference in Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018
Guiding supervised topic modeling for content based tag recommendation.
Neurocomputing, 2018
Team Expansion in Collaborative Environments.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
An Effective Approach for Routing the Bug Reports to the Right Fixers.
Proceedings of the Tenth Asia-Pacific Symposium on Internetware, 2018
Bug Localization via Supervised Topic Modeling.
Proceedings of the IEEE International Conference on Data Mining, 2018
2017
Version-Aware Rating Prediction for Mobile App Recommendation.
ACM Trans. Inf. Syst., 2017
Scalable Algorithms for CQA Post Voting Prediction.
IEEE Trans. Knowl. Data Eng., 2017
On the Measurement and Prediction of Web Content Utility: A Review.
SIGKDD Explor., 2017
Exploring Metadata in Bug Reports for Bug Localization.
Proceedings of the 24th Asia-Pacific Software Engineering Conference, 2017
2016
Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Detecting high-quality posts in community question answering sites.
Inf. Sci., 2015
RIT: Enhancing Recommendation with Inferred Trust.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Detecting Buggy Files based on Bug Reports: A Random Walk Based Approach.
Proceedings of the 7th Asia-Pacific Symposium on Internetware, 2015
ConRec: A Software Framework for Context-Aware Recommendation Based on Dynamic and Personalized Context.
Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015
MATAR: Keywords Enhanced Multi-label Learning for Tag Recommendation.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015
2014
Subgraph Extraction for Trust Inference in Social Networks.
Encyclopedia of Social Network Analysis and Mining, 2014
Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model.
IEEE Trans. Knowl. Data Eng., 2014
A Parallel Approach to Link Sign Prediction in Large-Scale Online Social Networks.
Comput. J., 2014
Exploring Review Content for Recommendation via Latent Factor Model.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014
Predicting long-term impact of CQA posts: a comprehensive viewpoint.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Dual-Regularized One-Class Collaborative Filtering.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
Joint voting prediction for questions and answers in CQA.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
2013
Pairwise trust inference by subgraph extraction.
Soc. Netw. Anal. Min., 2013
Want a Good Answer? Ask a Good Question First!
CoRR, 2013
SelfTrust: leveraging self-assessment for trust inference in Internetware.
Sci. China Inf. Sci., 2013
MATRI: a multi-aspect and transitive trust inference model.
Proceedings of the 22nd International World Wide Web Conference, 2013
Enhancing trustworthiness evaluation in internetware with similarity and non-negative constraints.
Proceedings of the 5th Asia-Pacific Symposium on Internetware, 2013
2012
Addressing Common Vulnerabilities of Reputation Systems for Electronic Commerce.
J. Theor. Appl. Electron. Commer. Res., 2012
MaTrust: An Effective Multi-Aspect Trust Inference Model
CoRR, 2012
A group recommendation approach for service selection.
Proceedings of the Fourth Asia-Pacific Symposium on Internetware, 2012
Subgraph Extraction for Trust Inference in Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012
2011
Comparing Linkage Graph and Activity Graph of Online Social Networks.
Proceedings of the Social Informatics - Third International Conference, SocInfo 2011, 2011
2010
An Internetware Based Approach to Building Web Page Integration Applications for Mobile Devices.
Int. J. Softw. Informatics, 2010
2009
A Trust-Based Approach to Estimating the Confidence of the Software System in Open Environments.
J. Comput. Sci. Technol., 2009
A Broker-Assisting Trust and Reputation System Based on Artificial Neural Network.
Proceedings of the IEEE International Conference on Systems, 2009
A dynamic trust network based simulation framework for reputation-based service selection.
Proceedings of the First Asia-Pacific Symposium on Internetware, 2009
Internetware: a shift of software paradigm.
Proceedings of the First Asia-Pacific Symposium on Internetware, 2009
2007
A Trust Evolution Model for P2P Networks.
Proceedings of the Autonomic and Trusted Computing, 4th International Conference, 2007
2006
Establishing recommendation trust relationships for internetwares.
ACM SIGSOFT Softw. Eng. Notes, 2006
Toward Trust Management in Autonomic and Coordination Applications.
Proceedings of the Autonomic and Trusted Computing, Third International Conference, 2006