Meng Fang

According to our database1, Meng Fang authored at least 55 papers between 2003 and 2019.

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Bibliography

2019
Learning With Annotation of Various Degrees.
IEEE Trans. Neural Netw. Learning Syst., 2019

Data Subset Selection With Imperfect Multiple Labels.
IEEE Trans. Neural Netw. Learning Syst., 2019

Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks.
IEEE Trans. Multimedia, 2019

A Corpus-free State2Seq User Simulator for Task-oriented Dialogue.
CoRR, 2019

Learning to Solve a Rubik's Cube with a Dexterous Hand.
CoRR, 2019

Arena: a toolkit for Multi-Agent Reinforcement Learning.
CoRR, 2019

Revisiting Metric Learning for Few-Shot Image Classification.
CoRR, 2019

BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering.
CoRR, 2019

Data-driven operational risk analysis in E-Commerce Logistics.
Advanced Engineering Informatics, 2019

Bridging the Gap: Improve Part-of-speech Tagging for Chinese Social Media Texts with Foreign Words.
Proceedings of the 5th Workshop on Semantic Deep Learning, 2019

BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

DHER: Hindsight Experience Replay for Dynamic Goals.
Proceedings of the 7th International Conference on Learning Representations, 2019

Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Inter-Class Angular Loss for Convolutional Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Transfer Hashing: From Shallow to Deep.
IEEE Trans. Neural Netw. Learning Syst., 2018

Towards Query Efficient Black-box Attacks: An Input-free Perspective.
CoRR, 2018

A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues.
CoRR, 2018

Teaching Semi-Supervised Classifier via Generalized Distillation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Query Efficient Black-box Attacks: An Input-free Perspective.
Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018

2017
Active Multitask Learning With Trace Norm Regularization Based on Excess Risk.
IEEE Trans. Cybernetics, 2017

Learning how to Active Learn: A Deep Reinforcement Learning Approach.
CoRR, 2017

Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary.
CoRR, 2017

An Improved PHD Filter Based on Dynamic Programming.
Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017

Learning how to Active Learn: A Deep Reinforcement Learning Approach.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Supervised sampling for networked data.
Signal Processing, 2016

Per-Round Knapsack-Constrained Linear Submodular Bandits.
Neural Computation, 2016

Active exploration for large graphs.
Data Min. Knowl. Discov., 2016

Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering.
CoRR, 2016

Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection.
CoRR, 2016

Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multi-resident Location Tracking in Smart Home through Non-wearable Unobtrusive Sensors.
Proceedings of the Inclusive Smart Cities and Digital Health, 2016

TrGraph: Cross-network transfer learning via common signature subgraphs.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling.
Proceedings of the Computer Vision - ECCV 2016, 2016

Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Submodular Asymmetric Feature Selection in Cascade Object Detection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Linear Submodular Bandits with a Knapsack Constraint.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs.
IEEE Trans. Knowl. Data Eng., 2015

Active Multi-task Learning via Bandits.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Saliency propagation from simple to difficult.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Active learning with uncertain labeling knowledge.
Pattern Recognition Letters, 2014

Transfer Learning across Networks for Collective Classification.
CoRR, 2014

Networked bandits with disjoint linear payoffs.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Active Learning for Crowdsourcing Using Knowledge Transfer.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Hierarchical Sampling for Multi-Instance Ensemble Learning.
IEEE Trans. Knowl. Data Eng., 2013

Active Class Discovery and Learning for Networked Data.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Knowledge Transfer for Multi-labeler Active Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Transfer Learning across Networks for Collective Classification.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Active exploration: simultaneous sampling and labeling for large graphs.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Top-k correlated subgraph query for data streams.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

I don't know the label: Active learning with blind knowledge.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Self-Taught Active Learning from Crowds.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Active Learning from Oracle with Knowledge Blind Spot.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2010
Spatial Neighborhood Clustering Based on Data Field.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2003
Real-Time Mining of Partial Periodic Patterns.
Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), 2003


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