Po-Sen Huang

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 56

Top Topics

Monte Carlo Tree Search

Recurrent Neural Networks

Top Venues

Publications

Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Sumedh Ghaisas, Sumanth Dathathri, Abigail See, Johannes Welbl, Karan Singhal, Shekoofeh Azizi, Tao Tu, Mike Schaekermann, Rhys May, Roy Lee, SiWai Man, Zahra Ahmed, S. Sara Mahdavi, Danielle Belgrave, Vivek Natarajan, Shravya Shetty, Pushmeet Kohli, Po-Sen Huang, Alan Karthikesalingam, Ira Ktena
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. CoRR (2023)
Po-Sen Huang, Yvette C. Paulino, Stuart C. K. So, Dickson K. W. Chiu, Kevin K. W. Ho
Guest editorial: COVID-19 pandemic and health informatics part 3. Libr. Hi Tech 41 (1) (2023)
Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, William S. Isaac, Lisa Anne Hendricks
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. CoRR (2022)
Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh, Courtney Biles, Sasha Brown, Zac Kenton, Will Hawkins, Tom Stepleton, Abeba Birhane, Lisa Anne Hendricks, Laura Rimell, William S. Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, Iason Gabriel
Taxonomy of Risks posed by Language Models. FAccT (2022)
Amelia Glaese, Nat McAleese, Maja Trebacz, John Aslanides, Vlad Firoiu, Timo Ewalds, Maribeth Rauh, Laura Weidinger, Martin Chadwick, Phoebe Thacker, Lucy Campbell-Gillingham, Jonathan Uesato, Po-Sen Huang, Ramona Comanescu, Fan Yang, Abigail See, Sumanth Dathathri, Rory Greig, Charlie Chen, Doug Fritz, Jaume Sanchez Elias, Richard Green, Sona Mokrá, Nicholas Fernando, Boxi Wu, Rachel Foley, Susannah Young, Iason Gabriel, William Isaac, John Mellor, Demis Hassabis, Koray Kavukcuoglu, Lisa Anne Hendricks, Geoffrey Irving
Improving alignment of dialogue agents via targeted human judgements. CoRR (2022)
Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, William Isaac, Lisa Anne Hendricks
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. NeurIPS (2022)
Po-Sen Huang, Yvette C. Paulino, Stuart So, Dickson K. W. Chiu, Kevin K. W. Ho
Guest editorial: COVID-19 Pandemic and Health Informatics Part 2. Libr. Hi Tech 40 (2) (2022)
Yujia Li, David H. Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, Thomas Hubert, Peter Choy, Cyprien de Masson d'Autume, Igor Babuschkin, Xinyun Chen, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J. Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, Oriol Vinyals
Competition-Level Code Generation with AlphaCode. CoRR (2022)
Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang
Challenges in Detoxifying Language Models. EMNLP (Findings) (2021)
Sven Gowal, Po-Sen Huang, Aäron van den Oord, Timothy Mann, Pushmeet Kohli
Self-supervised Adversarial Robustness for the Low-label, High-data Regime. ICLR (2021)
Po-Sen Huang, Yvette C. Paulino, Stuart So, Dickson K. W. Chiu, Kevin K. W. Ho
Editorial. Libr. Hi Tech 39 (3) (2021)
Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William S. Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR (2021)
Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zac Kenton, Sasha Brown, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William S. Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel
Ethical and social risks of harm from Language Models. CoRR (2021)
Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang
Challenges in Detoxifying Language Models. CoRR (2021)
Johannes Welbl, Po-Sen Huang, Robert Stanforth, Sven Gowal, Krishnamurthy (Dj) Dvijotham, Martin Szummer, Pushmeet Kohli
Towards Verified Robustness under Text Deletion Interventions. ICLR (2020)
Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. CVPR (2020)
Lei Yu, Laurent Sartran, Po-Sen Huang, Wojciech Stokowiec, Domenic Donato, Srivatsan Srinivasan, Alek Andreev, Wang Ling, Sona Mokra, Agustin Dal Lago, Yotam Doron, Susannah Young, Phil Blunsom, Chris Dyer
The DeepMind Chinese-English Document Translation System at WMT2020. WMT@EMNLP (2020)
Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
Towards Robust Image Classification Using Sequential Attention Models. CVPR (2020)
Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. EMNLP (Findings) (2020)
Jean-Baptiste Alayrac, Jonathan Uesato, Po-Sen Huang, Alhussein Fawzi, Robert Stanforth, Pushmeet Kohli
Are Labels Required for Improving Adversarial Robustness? NeurIPS (2019)
Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
Towards Robust Image Classification Using Sequential Attention Models. CoRR (2019)
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. EMNLP/IJCNLP (1) (2019)
Jonathan Uesato, Jean-Baptiste Alayrac, Po-Sen Huang, Robert Stanforth, Alhussein Fawzi, Pushmeet Kohli
Are Labels Required for Improving Adversarial Robustness? CoRR (2019)
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. CoRR (2019)
Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. CoRR (2019)
Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications. CVPR (2019)
Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli
Learning Transferable Graph Exploration. CoRR (2019)
Sven Gowal, Jonathan Uesato, Chongli Qin, Po-Sen Huang, Timothy A. Mann, Pushmeet Kohli
An Alternative Surrogate Loss for PGD-based Adversarial Testing. CoRR (2019)
Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli
Learning Transferable Graph Exploration. NeurIPS (2019)
Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli
Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications. CoRR (2019)
Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations. CoRR (2019)
Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng
Towards Neural Phrase-based Machine Translation. ICLR (Poster) (2018)
Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan Mao, Kan Qiao, Dengyong Zhou
Neural Phrase-to-Phrase Machine Translation. CoRR (2018)
Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi
Discourse-Aware Neural Rewards for Coherent Text Generation. NAACL-HLT (2018)
Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He
Natural Language to Structured Query Generation via Meta-Learning. CoRR (2018)
Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He
Natural Language to Structured Query Generation via Meta-Learning. NAACL-HLT (2) (2018)
Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi
Discourse-Aware Neural Rewards for Coherent Text Generation. CoRR (2018)
Chenglong Wang, Po-Sen Huang, Alex Polozov, Marc Brockschmidt, Rishabh Singh
Execution-Guided Neural Program Decoding. CoRR (2018)
Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. ICLR (Workshop) (2018)
Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. CoRR (2018)
Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search. NeurIPS (2018)
David Golub, Po-Sen Huang, Xiaodong He, Li Deng
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. CoRR (2017)
Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao
Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion. Rep4NLP@ACL (2017)
Andreja Istenic Starcic, Po-Sen Huang, Roza Alexeyevna Valeeva, Liliia Agzamovna Latypova, Yueh-Min Huang
Digital Storytelling and Mobile Learning: Potentials for Internationalization of Higher Education Curriculum. SETE@ICWL (2017)
Po-Sen Huang, Chong Wang, Dengyong Zhou, Li Deng
Neural Phrase-based Machine Translation. CoRR (2017)
Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen
ReasoNet: Learning to Stop Reading in Machine Comprehension. KDD (2017)
David Golub, Po-Sen Huang, Xiaodong He, Li Deng
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. EMNLP (2017)
Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng
Sequence Modeling via Segmentations. ICML (2017)
Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng
Sequence Modeling via Segmentations. CoRR (2017)
Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao
Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory. CoRR (2016)
Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen
ReasoNet: Learning to Stop Reading in Machine Comprehension. CoRR (2016)
Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen
ReasoNet: Learning to Stop Reading in Machine Comprehension. CoCo@NIPS (2016)
Jianshu Chen, Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng
Unsupervised Learning of Predictors from Unpaired Input-Output Samples. CoRR (2016)
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 23 (12) (2015)
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. CoRR (2015)
Chia-Yen Chen, Po-Sen Huang, Sheng-Wen Huang, Jia-Hong Zhang, Bao Rong Chang
Structured light 3D face scanning system. ICCE-TW (2015)
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
Deep learning for monaural speech separation. ICASSP (2014)
Sheng-Wen Huang, Po-Sen Huang, Jia-Hong Zhang, Yu-Mei Hong, Chia-Yen Chen, Bao Rong Chang
Gantry-Mounted Laser-Stripe Scanning System for Face Shape Recovery. ICS (2014)
Chia-Yen Chen, Bao Rong Chang, Po-Sen Huang
Multimedia augmented reality information system for museum guidance. Pers. Ubiquitous Comput. 18 (2) (2014)
Zhaowen Wang, Zhangyang Wang, Mark Moll, Po-Sen Huang, Devin K. Grady, Nasser M. Nasrabadi, Thomas S. Huang, Lydia E. Kavraki, Mark Hasegawa-Johnson
Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP. CVPR Workshops (2014)
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks. ISMIR (2014)
Po-Sen Huang, Haim Avron, Tara N. Sainath, Vikas Sindhwani, Bhuvana Ramabhadran
Kernel methods match Deep Neural Networks on TIMIT. ICASSP (2014)
Po-Sen Huang, Kshitiz Kumar, Chaojun Liu, Yifan Gong, Li Deng
Predicting speech recognition confidence using deep learning with word identity and score features. ICASSP (2013)
Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, Larry P. Heck
Learning deep structured semantic models for web search using clickthrough data. CIKM (2013)
Po-Sen Huang, Wen-Bin Hong, Hsiang-Jen Chien, Chia-Yen Chen
Extrinsic calibration of a multi-beam LiDAR system with improved intrinsic laser parameters using v-shaped planes and infrared images. IVMSP (2013)
Chia-Yen Chen, Hsiang-Jen Chien, Po-Sen Huang
Calibration of LiDAR device using infrared images. IVCNZ (2013)
Po-Sen Huang, Li Deng, Mark Hasegawa-Johnson, Xiaodong He
Random features for Kernel Deep Convex Network. ICASSP (2013)
Po-Sen Huang, Robert Mertens, Ajay Divakaran, Gerald Friedland, Mark Hasegawa-Johnson
How to put it into words - using random forests to extract symbol level descriptions from audio content for concept detection. ICASSP (2012)
Chia-Yen Chen, Hsiang-Jen Chien, Po-Sen Huang, Wen-Bin Hong, Chi-Fa Chen
Intrinsic parameters calibration for multi-beam LiDAR using the Levenberg-Marquardt algorithm. IVCNZ (2012)
Po-Sen Huang, Mark Hasegawa-Johnson, Wotao Yin, Thomas S. Huang
Opportunistic sensing: Unattended acoustic sensor selection using crowdsourcing models. MLSP (2012)
Po-Sen Huang, Jianchao Yang, Mark Hasegawa-Johnson, Feng Liang, Thomas S. Huang
Pooling Robust Shift-Invariant Sparse Representations of Acoustic Signals. INTERSPEECH (2012)
Po-Sen Huang, Scott Deeann Chen, Paris Smaragdis, Mark Hasegawa-Johnson
Singing-voice separation from monaural recordings using robust principal component analysis. ICASSP (2012)
Robert Mertens, Po-Sen Huang, Luke R. Gottlieb, Gerald Friedland, Ajay Divakaran, Mark Hasegawa-Johnson
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. 3 (3) (2012)
Chia-Yen Chen, Ying-Chen Lin, Sheng-Wen Huang, Po-Sen Huang, Jun-Ming Pan, Chi-Fa Chen
Large scale 3D scene reconstruction with improved registration of laser range data. ISPACS (2012)
Po-Sen Huang, Xiaodan Zhuang, Mark Hasegawa-Johnson
Improving acoustic event detection using generalizable visual features and multi-modality modeling. ICASSP (2011)
Robert Mertens, Po-Sen Huang, Luke R. Gottlieb, Gerald Friedland, Ajay Divakaran
On the Applicability of Speaker Diarization to Audio Concept Detection for Multimedia Retrieval. ISM (2011)
Po-Sen Huang, Thyagaraju Damarla, Mark Hasegawa-Johnson
Multi-sensory features for personnel detection at border crossings. FUSION (2011)