Po-Sen Huang

Orcid: 0000-0001-6036-3637

According to our database1, Po-Sen Huang authored at least 62 papers between 2011 and 2024.

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Bibliography

2024
Operationalizing Contextual Integrity in Privacy-Conscious Assistants.
CoRR, 2024

2023
Guest editorial: COVID-19 pandemic and health informatics part 3.
Libr. Hi Tech, April, 2023

Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation.
CoRR, 2023

2022
Guest editorial: COVID-19 Pandemic and Health Informatics Part 2.
Libr. Hi Tech, 2022

Improving alignment of dialogue agents via targeted human judgements.
CoRR, 2022

Competition-Level Code Generation with AlphaCode.
CoRR, 2022

Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Taxonomy of Risks posed by Language Models.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Editorial.
Libr. Hi Tech, 2021

Scaling Language Models: Methods, Analysis & Insights from Training Gopher.
CoRR, 2021

Ethical and social risks of harm from Language Models.
CoRR, 2021

Self-supervised Adversarial Robustness for the Low-label, High-data Regime.
Proceedings of the 9th International Conference on Learning Representations, 2021

Challenges in Detoxifying Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
The DeepMind Chinese-English Document Translation System at WMT2020.
Proceedings of the Fifth Conference on Machine Translation, 2020

Towards Verified Robustness under Text Deletion Interventions.
Proceedings of the 8th International Conference on Learning Representations, 2020

Reducing Sentiment Bias in Language Models via Counterfactual Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Towards Robust Image Classification Using Sequential Attention Models.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
An Alternative Surrogate Loss for PGD-based Adversarial Testing.
CoRR, 2019

Learning Transferable Graph Exploration.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Are Labels Required for Improving Adversarial Robustness?
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Neural Phrase-to-Phrase Machine Translation.
CoRR, 2018

Execution-Guided Neural Program Decoding.
CoRR, 2018

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Natural Language to Structured Query Generation via Meta-Learning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Discourse-Aware Neural Rewards for Coherent Text Generation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search.
Proceedings of the 6th International Conference on Learning Representations, 2018

Towards Neural Phrase-based Machine Translation.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Neural Phrase-based Machine Translation.
CoRR, 2017

Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Digital Storytelling and Mobile Learning: Potentials for Internationalization of Higher Education Curriculum.
Proceedings of the Emerging Technologies for Education - Second International Symposium, 2017

Sequence Modeling via Segmentations.
Proceedings of the 34th International Conference on Machine Learning, 2017

Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory.
CoRR, 2016

Unsupervised Learning of Predictors from Unpaired Input-Output Samples.
CoRR, 2016

ReasoNet: Learning to Stop Reading in Machine Comprehension.
Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016 co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), 2016

2015
Shallow and deep learning for audio and natural language processing
PhD thesis, 2015

Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Structured light 3D face scanning system.
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2015

2014
Multimedia augmented reality information system for museum guidance.
Pers. Ubiquitous Comput., 2014

Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Gantry-Mounted Laser-Stripe Scanning System for Face Shape Recovery.
Proceedings of the Intelligent Systems and Applications, 2014

Deep learning for monaural speech separation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Kernel methods match Deep Neural Networks on TIMIT.
Proceedings of the IEEE International Conference on Acoustics, 2014

Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Extrinsic calibration of a multi-beam LiDAR system with improved intrinsic laser parameters using v-shaped planes and infrared images.
Proceedings of the 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, 2013

Calibration of LiDAR device using infrared images.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Predicting speech recognition confidence using deep learning with word identity and score features.
Proceedings of the IEEE International Conference on Acoustics, 2013

Random features for Kernel Deep Convex Network.
Proceedings of the IEEE International Conference on Acoustics, 2013

Learning deep structured semantic models for web search using clickthrough data.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
On the Applicability of Speaker Diarization to Audio Indexing of Non-Speech and Mixed Non-Speech/Speech Video Soundtracks.
Int. J. Multim. Data Eng. Manag., 2012

Opportunistic sensing: Unattended acoustic sensor selection using crowdsourcing models.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Intrinsic parameters calibration for multi-beam LiDAR using the Levenberg-Marquardt algorithm.
Proceedings of the Image and Vision Computing New Zealand, 2012

Large scale 3D scene reconstruction with improved registration of laser range data.
Proceedings of the International Symposium on Intelligent Signal Processing and Communications Systems, 2012

Pooling Robust Shift-Invariant Sparse Representations of Acoustic Signals.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

How to put it into words - using random forests to extract symbol level descriptions from audio content for concept detection.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Singing-voice separation from monaural recordings using robust principal component analysis.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
On the Applicability of Speaker Diarization to Audio Concept Detection for Multimedia Retrieval.
Proceedings of the 2011 IEEE International Symposium on Multimedia, 2011

Improving acoustic event detection using generalizable visual features and multi-modality modeling.
Proceedings of the IEEE International Conference on Acoustics, 2011

Multi-sensory features for personnel detection at border crossings.
Proceedings of the 14th International Conference on Information Fusion, 2011


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