2022
Scene Text Recognition with Semantics.
CoRR, 2022
Guiding Visual Question Generation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Contrastive Video-Language Learning with Fine-grained Frame Sampling.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
Logically Consistent Adversarial Attacks for Soft Theorem Provers.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Kubric: A scalable dataset generator.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Learning With Stochastic Guidance for Robot Navigation.
IEEE Trans. Neural Networks Learn. Syst., 2021
Latent Variable Models for Visual Question Answering.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
A Generative Framework for Simultaneous Machine Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Cross-Modal Generative Augmentation for Visual Question Answering.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Discovering Topics in Long-tailed Corpora with Causal Intervention.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision.
CoRR, 2020
Learning Multilingual Topics with Neural Variational Inference.
Proceedings of the Natural Language Processing and Chinese Computing, 2020
Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Selective Sensor Fusion for Neural Visual-Inertial Odometry.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
MotionTransformer: Transferring Neural Inertial Tracking between Domains.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Learning with Stochastic Guidance for Navigation.
CoRR, 2018
Transferring Physical Motion Between Domains for Neural Inertial Tracking.
CoRR, 2018
Neural Allocentric Intuitive Physics Prediction from Real Videos.
CoRR, 2018
Memory Architectures in Recurrent Neural Network Language Models.
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Deep generative models for natural language processing.
PhD thesis, 2017
Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation.
CoRR, 2017
Tag-Aware Personalized Recommendation Using a Hybrid Deep Model.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Latent Intention Dialogue Models.
Proceedings of the 34th International Conference on Machine Learning, 2017
Discovering Discrete Latent Topics with Neural Variational Inference.
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Neural Variational Inference for Text Processing.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Language as a Latent Variable: Discrete Generative Models for Sentence Compression.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2014
Bayesian Optimisation for Machine Translation.
CoRR, 2014
2013
Context-aware reasoning middle ware applied in the mobile environment.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013
2012
Infinite Topic Modelling for Trend Tracking - Hierarchical Dirichlet Process Approaches with Wikipedia Semantic based Method.
Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012
Research on Mining Common Concern via Infinite Topic Modelling.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012