Hao Peng

Orcid: 0000-0001-7422-630X

Affiliations:
  • Beihang University, Beijing, China


According to our database1, Hao Peng authored at least 181 papers between 2016 and 2024.

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Bibliography

2024
Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

A Comprehensive Survey on Automatic Knowledge Graph Construction.
ACM Comput. Surv., April, 2024

Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems.
Int. J. Mach. Learn. Cybern., January, 2024

Instruction-based Hypergraph Pretraining.
CoRR, 2024

MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Unified Pretraining for Recommendation via Task Hypergraphs.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Knowledge Graph Context-Enhanced Diversified Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Adversarial Socialbots Modeling Based on Structural Information Principles.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications.
IEEE Trans. Knowl. Data Eng., December, 2023

Event Extraction by Associating Event Types and Argument Roles.
IEEE Trans. Big Data, December, 2023

A Robust and Generalized Framework for Adversarial Graph Embedding.
IEEE Trans. Knowl. Data Eng., November, 2023

Heterogeneous graph neural network with semantic-aware differential privacy guarantees.
Knowl. Inf. Syst., October, 2023

Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 1.
ACM Trans. Web, August, 2023

Semi-Supervised EEG Clustering With Multiple Constraints.
IEEE Trans. Knowl. Data Eng., August, 2023

Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Adaptive curvature exploration geometric graph neural network.
Knowl. Inf. Syst., May, 2023

Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation.
IEEE Trans. Knowl. Data Eng., April, 2023

Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market.
IEEE Trans. Knowl. Data Eng., March, 2023

Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER.
ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023

Janus: Latency-Aware Traffic Scheduling for IoT Data Streaming in Edge Environments.
IEEE Trans. Serv. Comput., 2023

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., 2023

Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Monitoring industrial control systems via spatio-temporal graph neural networks.
Eng. Appl. Artif. Intell., 2023

Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction.
CoRR, 2023

Semi-Supervised Clustering via Structural Entropy with Different Constraints.
CoRR, 2023

Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection.
CoRR, 2023

Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing.
CoRR, 2023

KoLA: Carefully Benchmarking World Knowledge of Large Language Models.
CoRR, 2023

Contrastive Graph Clustering in Curvature Spaces.
CoRR, 2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR, 2023

A Comprehensive Survey of Graph-level Learning.
CoRR, 2023

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization.
Proceedings of the ACM Web Conference 2023, 2023

FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection.
Proceedings of the ACM Web Conference 2023, 2023

Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification.
Proceedings of the ACM Web Conference 2023, 2023

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Minimum Entropy Principle Guided Graph Neural Networks.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Graph Collaborative Signals Denoising and Augmentation for Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Reinforcement Learning Guided Multi-Objective Exam Paper Generation.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical State Abstraction based on Structural Information Principles.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CONGREGATE: Contrastive Graph Clustering in Curvature Spaces.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Perspective Survey on Industrial Knowledge Graphs: Recent Advances, Open Challenges, and Future Directions.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2023

DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing.
Proceedings of the IEEE International Conference on Data Mining, 2023

Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction.
Proceedings of the IEEE International Conference on Big Data, 2023

Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Content Style-triggered Backdoor Attack in Non-IID Federated Learning via Generative AI.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
QoS-Aware Co-Scheduling for Distributed Long-Running Applications on Shared Clusters.
IEEE Trans. Parallel Distributed Syst., 2022

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks.
ACM Trans. Inf. Syst., 2022

Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph.
IEEE Trans. Neural Networks Learn. Syst., 2022

HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network.
IEEE Trans. Knowl. Data Eng., 2022

Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2.
ACM Trans. Intell. Syst. Technol., 2022

Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1.
ACM Trans. Intell. Syst. Technol., 2022

Federated Social Recommendation with Graph Neural Network.
ACM Trans. Intell. Syst. Technol., 2022

A Survey on Text Classification: From Traditional to Deep Learning.
ACM Trans. Intell. Syst. Technol., 2022

Federated Multi-view Learning for Private Medical Data Integration and Analysis.
ACM Trans. Intell. Syst. Technol., 2022

Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data.
IEEE Trans. Ind. Informatics, 2022

Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks.
IEEE Trans. Computers, 2022

Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Deep reinforcement learning guided graph neural networks for brain network analysis.
Neural Networks, 2022

Cross-knowledge-graph entity alignment via relation prediction.
Knowl. Based Syst., 2022

What happens next? Combining enhanced multilevel script learning and dual fusion strategies for script event prediction.
Int. J. Intell. Syst., 2022

Blockchain-enabled fraud discovery through abnormal smart contract detection on Ethereum.
Future Gener. Comput. Syst., 2022

Automating DBSCAN via Deep Reinforcement Learning.
CoRR, 2022

Dynamic Measurement of Structural Entropy for Dynamic Graphs.
CoRR, 2022

Benchmarking Node Outlier Detection on Graphs.
CoRR, 2022

Graph-level Neural Networks: Current Progress and Future Directions.
CoRR, 2022

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.
CoRR, 2022

PyGOD: A Python Library for Graph Outlier Detection.
CoRR, 2022

Towards Unsupervised Deep Graph Structure Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Curvature Graph Generative Adversarial Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Sequential Recommendation via Stochastic Self-Attention.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Structure-Preserving Graph Kernel for Brain Network Classification.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory.
Proceedings of the IEEE International Conference on Web Services, 2022

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

HiGIL: Hierarchical Graph Inference Learning for Fact Checking.
Proceedings of the IEEE International Conference on Data Mining, 2022

DAGAD: Data Augmentation for Graph Anomaly Detection.
Proceedings of the IEEE International Conference on Data Mining, 2022

Automating DBSCAN via Deep Reinforcement Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer.
Proceedings of the IEEE International Conference on Big Data, 2022

A Self-Supervised Mixed-Curvature Graph Neural Network.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Graph Structure Learning with Variational Information Bottleneck.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng., 2021

Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks.
ACM Trans. Knowl. Discov. Data, 2021

POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling.
ACM Trans. Intell. Syst. Technol., 2021

Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning.
Knowl. Based Syst., 2021

RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved.
J. Artif. Intell. Res., 2021

Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning.
Inf. Sci., 2021

Learning graph attention-aware knowledge graph embedding.
Neurocomputing, 2021

Event prediction based on evolutionary event ontology knowledge.
Future Gener. Comput. Syst., 2021

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming.
CoRR, 2021

HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks.
CoRR, 2021

Multiplex Graph Networks for Multimodal Brain Network Analysis.
CoRR, 2021

Deep Learning Schema-based Event Extraction: Literature Review and Current Trends.
CoRR, 2021

Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations.
CoRR, 2021

Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation.
CoRR, 2021

Automated Timeline Length Selection for Flexible Timeline Summarization.
CoRR, 2021

Federated Knowledge Graphs Embedding.
CoRR, 2021

Federated Multi-View Learning for Private Medical Data Integration and Analysis.
CoRR, 2021

Federated Depression Detection from Multi-SourceMobile Health Data.
CoRR, 2021

Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning.
Comput. Secur., 2021

A reliable deep learning-based algorithm design for IoT load identification in smart grid.
Ad Hoc Networks, 2021

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.
Proceedings of the WWW '21: The Web Conference 2021, 2021

HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.
Proceedings of the IEEE International Conference on Data Mining, 2021

KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph.
Proceedings of the Database Systems for Advanced Applications, 2021

Differentially Private Federated Knowledge Graphs Embedding.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Adversarial Directed Graph Embedding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
SeqST-GAN: Seq2Seq Generative Adversarial Nets for Multi-step Urban Crowd Flow Prediction.
ACM Trans. Spatial Algorithms Syst., 2020

Performance-Aware Speculative Resource Oversubscription for Large-Scale Clusters.
IEEE Trans. Parallel Distributed Syst., 2020

Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction.
IEEE Trans. Intell. Transp. Syst., 2020

Modeling relation paths for knowledge base completion via joint adversarial training.
Knowl. Based Syst., 2020

Towards a distributed local-search approach for partitioning large-scale social networks.
Inf. Sci., 2020

Multi-attributed heterogeneous graph convolutional network for bot detection.
Inf. Sci., 2020

Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting.
Inf. Sci., 2020

LSTM variants meet graph neural networks for road speed prediction.
Neurocomputing, 2020

Event detection and evolution in multi-lingual social streams.
Frontiers Comput. Sci., 2020

Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market.
CoRR, 2020

Adversarial Directed Graph Embedding.
CoRR, 2020

A Survey on Text Classification: From Shallow to Deep Learning.
CoRR, 2020

Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework.
CoRR, 2020

Dynamic network embedding via incremental skip-gram with negative sampling.
Sci. China Inf. Sci., 2020

Fabricable Unobtrusive 3D-QR-Codes with Directional Light.
Comput. Graph. Forum, 2020

Hybrid Deep Neural Networks for Friend Recommendations in Edge Computing Environment.
IEEE Access, 2020

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multi-information Source HIN for Medical Concept Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Low-shot Learning in Natural Language Processing.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Heterogeneous Similarity Graph Neural Network on Electronic Health Records.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

TOPOSCH: Latency-Aware Scheduling Based on Critical Path Analysis on Shared YARN Clusters.
Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019
RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved.
CoRR, 2019

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification.
CoRR, 2019

Prediction of academic performance associated with internet usage behaviors using machine learning algorithms.
Comput. Hum. Behav., 2019

3D printed perforated QR codes.
Comput. Graph., 2019

Fabricating QR codes on 3D objects using self-shadows.
Comput. Aided Des., 2019

Bibliographic Name Disambiguation with Graph Convolutional Network.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

Learning Semantic Coherence for Machine Generated Spam Text Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Aspect-Based Sentiment Classification with Attentive Neural Turing Machines.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Incremental term representation learning for social network analysis.
Future Gener. Comput. Syst., 2018

Eagle+: A fast incremental approach to automaton and table online updates for cloud services.
Future Gener. Comput. Syst., 2018

Graph Convolutional Neural Networks via Motif-based Attention.
CoRR, 2018

Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Deep Convolutional Mesh RNN for Urban Traffic Passenger Flows Prediction.
Proceedings of the 2018 IEEE SmartWorld, 2018

Graph CNNs for Urban Traffic Passenger Flows Prediction.
Proceedings of the 2018 IEEE SmartWorld, 2018

Time-evolving Text Classification with Deep Neural Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Optimizing XCSR for Text Classification.
Proceedings of the 2017 IEEE Symposium on Service-Oriented System Engineering, 2017

Incrementally Learning the Hierarchical Softmax Function for Neural Language Models.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Eagle: An Agile Approach to Automaton Updating in Cloud Security Services.
Proceedings of the 2016 IEEE Symposium on Service-Oriented System Engineering, 2016


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