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Po-Sen Huang
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2020 – today
- 2024
- [j7]Pei-Hsuan Lin, Po-Sen Huang, Ying Geng, Yueh-Min Huang:
Enhancing problem-based learning with computational thinking concepts for nursing students in virtual simulation context: Bridging knowledge and practice. Educ. Inf. Technol. 29(15): 20409-20429 (2024) - [i28]Sahra Ghalebikesabi, Eugene Bagdasaryan, Ren Yi, Itay Yona, Ilia Shumailov, Aneesh Pappu, Chongyang Shi, Laura Weidinger, Robert Stanforth, Leonard Berrada, Pushmeet Kohli, Po-Sen Huang, Borja Balle:
Operationalizing Contextual Integrity in Privacy-Conscious Assistants. CoRR abs/2408.02373 (2024) - 2023
- [j6]Po-Sen Huang
, Yvette C. Paulino
Guest editorial: COVID-19 pandemic and health informatics part 3. Libr. Hi Tech 41(1): 1-6 (2023) - [i27]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 abs/2311.18260 (2023) - 2022
- [j5]Po-Sen Huang, Yvette C. Paulino, Stuart C. K. So, Dickson K. W. Chiu
Guest editorial: COVID-19 Pandemic and Health Informatics Part 2. Libr. Hi Tech 40(2): 281-285 (2022) - [c44]Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh
Taxonomy of Risks posed by Language Models. FAccT 2022: 214-229 - [c43]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 - [i26]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 abs/2203.07814 (2022) - [i25]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. CoRR abs/2206.08325 (2022) - [i24]Amelia Glaese, Nat McAleese, Maja Trebacz, John Aslanides, Vlad Firoiu, Timo Ewalds, Maribeth Rauh, Laura Weidinger, Martin J. 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 abs/2209.14375 (2022) - 2021
- [j4]Po-Sen Huang
Editorial. Libr. Hi Tech 39(3): 693-695 (2021) - [c42]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: 2447-2469 - [c41]Sven Gowal, Po-Sen Huang, Aäron van den Oord, Timothy A. Mann, Pushmeet Kohli:
Self-supervised Adversarial Robustness for the Low-label, High-data Regime. ICLR 2021 - [i23]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 abs/2109.07445 (2021) - [i22]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 Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel:
Ethical and social risks of harm from Language Models. CoRR abs/2112.04359 (2021) - [i21]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 J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William 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 abs/2112.11446 (2021) - 2020
- [c40]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: 1208-1217 - [c39]Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli:
Towards Robust Image Classification Using Sequential Attention Models. CVPR 2020: 9480-9489 - [c38]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: 65-83 - [c37]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 - [c36]Lei Yu, Laurent Sartran, Po-Sen Huang, Wojciech Stokowiec, Domenic Donato, Srivatsan Srinivasan, Alek Andreev, Wang Ling, Sona Mokrá, Agustin Dal Lago, Yotam Doron, Susannah Young, Phil Blunsom, Chris Dyer:
The DeepMind Chinese-English Document Translation System at WMT2020. WMT@EMNLP 2020: 326-337
2010 – 2019
- 2019
- [c35]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: 12260-12269 - [c34]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: 4081-4091 - [c33]Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli:
Learning Transferable Graph Exploration. NeurIPS 2019: 2514-2525 - [c32]Jean-Baptiste Alayrac, Jonathan Uesato, Po-Sen Huang, Alhussein Fawzi, Robert Stanforth, Pushmeet Kohli:
Are Labels Required for Improving Adversarial Robustness? NeurIPS 2019: 12192-12202 - [i20]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 abs/1904.12004 (2019) - [i19]Jonathan Uesato, Jean-Baptiste Alayrac, Po-Sen Huang, Robert Stanforth, Alhussein Fawzi, Pushmeet Kohli:
Are Labels Required for Improving Adversarial Robustness? CoRR abs/1905.13725 (2019) - [i18]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 abs/1909.01492 (2019) - [i17]Sven Gowal, Jonathan Uesato, Chongli Qin, Po-Sen Huang, Timothy A. Mann, Pushmeet Kohli:
An Alternative Surrogate Loss for PGD-based Adversarial Testing. CoRR abs/1910.09338 (2019) - [i16]Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli:
Learning Transferable Graph Exploration. CoRR abs/1910.12980 (2019) - [i15]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 abs/1911.03064 (2019) - [i14]Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli:
Towards Robust Image Classification Using Sequential Attention Models. CoRR abs/1912.02184 (2019) - [i13]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 abs/1912.03192 (2019) - 2018
- [c31]Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng:
Towards Neural Phrase-based Machine Translation. ICLR (Poster) 2018 - [c30]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 - [c29]Antoine Bosselut
Discourse-Aware Neural Rewards for Coherent Text Generation. NAACL-HLT 2018: 173-184 - [c28]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: 732-738 - [c27]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: 6787-6798 - [i12]Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao:
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. CoRR abs/1802.04394 (2018) - [i11]Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He:
Natural Language to Structured Query Generation via Meta-Learning. CoRR abs/1803.02400 (2018) - [i10]Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi:
Discourse-Aware Neural Rewards for Coherent Text Generation. CoRR abs/1805.03766 (2018) - [i9]Chenglong Wang, Po-Sen Huang, Alex Polozov, Marc Brockschmidt, Rishabh Singh:
Execution-Guided Neural Program Decoding. CoRR abs/1807.03100 (2018) - [i8]Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan Mao, Kan Qiao, Dengyong Zhou:
Neural Phrase-to-Phrase Machine Translation. CoRR abs/1811.02172 (2018) - 2017
- [c26]David Golub, Po-Sen Huang, Xiaodong He, Li Deng:
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. EMNLP 2017: 835-844 - [c25]Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng:
Sequence Modeling via Segmentations. ICML 2017: 3674-3683 - [c24]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: 400-406 - [c23]Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen:
ReasoNet: Learning to Stop Reading in Machine Comprehension. KDD 2017: 1047-1055 - [c22]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: 57-68 - [i7]Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng:
Sequence Modeling via Segmentations. CoRR abs/1702.07463 (2017) - [i6]Po-Sen Huang, Chong Wang, Dengyong Zhou, Li Deng:
Neural Phrase-based Machine Translation. CoRR abs/1706.05565 (2017) - [i5]David Golub, Po-Sen Huang, Xiaodong He, Li Deng:
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. CoRR abs/1706.09789 (2017) - 2016
- [c21]Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen:
ReasoNet: Learning to Stop Reading in Machine Comprehension. CoCo@NIPS 2016 - [i4]Jianshu Chen, Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng:
Unsupervised Learning of Predictors from Unpaired Input-Output Samples. CoRR abs/1606.04646 (2016) - [i3]Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen:
ReasoNet: Learning to Stop Reading in Machine Comprehension. CoRR abs/1609.05284 (2016) - [i2]Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao:
Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory. CoRR abs/1611.04642 (2016) - 2015
- [b1]Po-Sen Huang:
Shallow and deep learning for audio and natural language processing. University of Illinois Urbana-Champaign, USA, 2015 - [j3]Po-Sen Huang, Minje Kim
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 23(12): 2136-2147 (2015) - [c20]Chia-Yen Chen, Po-Sen Huang, Sheng-Wen Huang, Jia-Hong Zhang, Bao Rong Chang:
Structured light 3D face scanning system. ICCE-TW 2015: 344-345 - [i1]Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis:
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. CoRR abs/1502.04149 (2015) - 2014
- [j2]Chia-Yen Chen, Bao Rong Chang, Po-Sen Huang:
Multimedia augmented reality information system for museum guidance. Pers. Ubiquitous Comput. 18(2): 315-322 (2014) - [c19]Zhaowen Wang, Zhangyang Wang, Mark Moll
Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP. CVPR Workshops 2014: 754-761 - [c18]Po-Sen Huang, Haim Avron, Tara N. Sainath, Vikas Sindhwani, Bhuvana Ramabhadran:
Kernel methods match Deep Neural Networks on TIMIT. ICASSP 2014: 205-209 - [c17]Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis:
Deep learning for monaural speech separation. ICASSP 2014: 1562-1566 - [c16]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: 1305-1314 - [c15]Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis:
Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks. ISMIR 2014: 477-482 - 2013
- [c14]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: 2333-2338 - [c13]Po-Sen Huang, Li Deng, Mark Hasegawa-Johnson, Xiaodong He:
Random features for Kernel Deep Convex Network. ICASSP 2013: 3143-3147 - [c12]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: 7413-7417 - [c11]Chia-Yen Chen, Hsiang-Jen Chien
Calibration of LiDAR device using infrared images. IVCNZ 2013: 100-105 - [c10]Po-Sen Huang, Wen-Bin Hong, Hsiang-Jen Chien
Extrinsic calibration of a multi-beam LiDAR system with improved intrinsic laser parameters using v-shaped planes and infrared images. IVMSP 2013: 1-4 - 2012
- [j1]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): 1-19 (2012) - [c9]Po-Sen Huang, Scott Deeann Chen, Paris Smaragdis, Mark Hasegawa-Johnson:
Singing-voice separation from monaural recordings using robust principal component analysis. ICASSP 2012: 57-60 - [c8]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: 505-508 - [c7]Po-Sen Huang, Jianchao Yang, Mark Hasegawa-Johnson, Feng Liang, Thomas S. Huang:
Pooling Robust Shift-Invariant Sparse Representations of Acoustic Signals. INTERSPEECH 2012: 2518-2521 - [c6]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: 21-26 - [c5]Chia-Yen Chen, Hsiang-Jen Chien
Intrinsic parameters calibration for multi-beam LiDAR using the Levenberg-Marquardt algorithm. IVCNZ 2012: 19-24 - [c4]Po-Sen Huang, Mark Hasegawa-Johnson, Wotao Yin
Opportunistic sensing: Unattended acoustic sensor selection using crowdsourcing models. MLSP 2012: 1-6 - 2011
- [c3]Po-Sen Huang, Thyagaraju Damarla, Mark Hasegawa-Johnson:
Multi-sensory features for personnel detection at border crossings. FUSION 2011: 1-8 - [c2]Po-Sen Huang, Xiaodan Zhuang, Mark Hasegawa-Johnson:
Improving acoustic event detection using generalizable visual features and multi-modality modeling. ICASSP 2011: 349-352 - [c1]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: 446-451
Coauthor Index
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