Multi-sensory features for personnel detection at border crossings. - Po-Sen Huang; Thyagaraju Damarla; Mark Hasegawa-Johnson (FUSION, 2011)

Improving acoustic event detection using generalizable visual features and multi-modality modeling. - Po-Sen Huang; Xiaodan Zhuang; Mark Hasegawa-Johnson (ICASSP, 2011)

On the Applicability of Speaker Diarization to Audio Concept Detection for Multimedia Retrieval. - Robert Mertens 003; Po-Sen Huang; Luke R. Gottlieb; Gerald Friedland; Ajay Divakaran (ISM, 2011)

Singing-voice separation from monaural recordings using robust principal component analysis. - Po-Sen Huang; Scott Deeann Chen; Paris Smaragdis; Mark Hasegawa-Johnson (ICASSP, 2012)

How to put it into words - using random forests to extract symbol level descriptions from audio content for concept detection. - Po-Sen Huang; Robert Mertens 003; Ajay Divakaran; Gerald Friedland; Mark Hasegawa-Johnson (ICASSP, 2012)

Pooling Robust Shift-Invariant Sparse Representations of Acoustic Signals. - Po-Sen Huang; Jianchao Yang; Mark Hasegawa-Johnson; Feng Liang 002; Thomas S. Huang (INTERSPEECH, 2012)

Large scale 3D scene reconstruction with improved registration of laser range data. - Chia-Yen Chen; Ying-Chen Lin; Sheng-Wen Huang; Po-Sen Huang; Jun-Ming Pan; Chi-Fa Chen (ISPACS, 2012)

Intrinsic parameters calibration for multi-beam LiDAR using the Levenberg-Marquardt algorithm. - Chia-Yen Chen; Hsiang-Jen Chien; Po-Sen Huang; Wen-Bin Hong; Chi-Fa Chen (IVCNZ, 2012)

Opportunistic sensing: Unattended acoustic sensor selection using crowdsourcing models. - Po-Sen Huang; Mark Hasegawa-Johnson; Wotao Yin; Thomas S. Huang (MLSP, 2012)

On the Applicability of Speaker Diarization to Audio Indexing of Non-Speech and Mixed Non-Speech/Speech Video Soundtracks. - Robert Mertens 003; Po-Sen Huang; Luke R. Gottlieb; Gerald Friedland; Ajay Divakaran; Mark Hasegawa-Johnson (Int. J. Multim. Data Eng. Manag., 2012)

Learning deep structured semantic models for web search using clickthrough data. - Po-Sen Huang; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001; Alex Acero; Larry P. Heck (CIKM, 2013)

Random features for Kernel Deep Convex Network. - Po-Sen Huang; Li Deng 001; Mark Hasegawa-Johnson; Xiaodong He 001 (ICASSP, 2013)

Predicting speech recognition confidence using deep learning with word identity and score features. - Po-Sen Huang; Kshitiz Kumar; Chaojun Liu; Yifan Gong 001; Li Deng 001 (ICASSP, 2013)

Calibration of LiDAR device using infrared images. - Chia-Yen Chen; Hsiang-Jen Chien; Po-Sen Huang (IVCNZ, 2013)

Extrinsic calibration of a multi-beam LiDAR system with improved intrinsic laser parameters using v-shaped planes and infrared images. - Po-Sen Huang; Wen-Bin Hong; Hsiang-Jen Chien; Chia-Yen Chen (IVMSP, 2013)

Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP. - Zhaowen Wang; Zhangyang Wang; Mark Moll; Po-Sen Huang; Devin K. Grady; Nasser M. Nasrabadi; Thomas S. Huang; Lydia E. Kavraki; Mark Hasegawa-Johnson (CVPR Workshops, 2014)

Kernel methods match Deep Neural Networks on TIMIT. - Po-Sen Huang; Haim Avron; Tara N. Sainath; Vikas Sindhwani; Bhuvana Ramabhadran (ICASSP, 2014)

Deep learning for monaural speech separation. - Po-Sen Huang; Minje Kim; Mark Hasegawa-Johnson; Paris Smaragdis (ICASSP, 2014)

Gantry-Mounted Laser-Stripe Scanning System for Face Shape Recovery. - Sheng-Wen Huang; Po-Sen Huang; Jia-Hong Zhang; Yu-Mei Hong; Chia-Yen Chen; Bao Rong Chang (ICS, 2014)

Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks. - Po-Sen Huang; Minje Kim; Mark Hasegawa-Johnson; Paris Smaragdis (ISMIR, 2014)

Multimedia augmented reality information system for museum guidance. - Chia-Yen Chen; Bao Rong Chang; Po-Sen Huang (Pers. Ubiquitous Comput., 2014)

Structured light 3D face scanning system. - Chia-Yen Chen; Po-Sen Huang; Sheng-Wen Huang; Jia-Hong Zhang; Bao Rong Chang (ICCE-TW, 2015)

Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. - Po-Sen Huang; Minje Kim; Mark Hasegawa-Johnson; Paris Smaragdis (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Shallow and deep learning for audio and natural language processing - Po-Sen Huang (2015)

ReasoNet: Learning to Stop Reading in Machine Comprehension. - Yelong Shen; Po-Sen Huang; Jianfeng Gao 001; Weizhu Chen (CoCo@NIPS, 2016)

Unsupervised Learning of Predictors from Unpaired Input-Output Samples. - Jianshu Chen; Po-Sen Huang; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001 (CoRR, 2016)

Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory. - Yelong Shen; Po-Sen Huang; Ming-Wei Chang; Jianfeng Gao 001 (CoRR, 2016)

Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. - David Golub; Po-Sen Huang; Xiaodong He 001; Li Deng 001 (EMNLP, 2017)

Sequence Modeling via Segmentations. - Chong Wang 002; Yining Wang; Po-Sen Huang; Abdelrahman Mohamed; Dengyong Zhou; Li Deng 001 (ICML, 2017)

Digital Storytelling and Mobile Learning: Potentials for Internationalization of Higher Education Curriculum. - Andreja Istenic Starcic; Po-Sen Huang; Roza Alexeyevna Valeeva; Liliia Agzamovna Latypova; Yueh-Min Huang (SETE@ICWL, 2017)

Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion. - Yelong Shen; Po-Sen Huang; Ming-Wei Chang; Jianfeng Gao 001 (Rep4NLP@ACL, 2017)

Neural Phrase-based Machine Translation. - Po-Sen Huang; Chong Wang 002; Dengyong Zhou; Li Deng 001 (CoRR, 2017)

Towards Neural Phrase-based Machine Translation. - Po-Sen Huang; Chong Wang 002; Sitao Huang; Dengyong Zhou; Li Deng 001 (ICLR (Poster), 2018)

ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. - Yelong Shen; Jianshu Chen; Po-Sen Huang; Yuqing Guo 003; Jianfeng Gao 001 (ICLR (Workshop), 2018)

Discourse-Aware Neural Rewards for Coherent Text Generation. - Antoine Bosselut; Asli Celikyilmaz; Xiaodong He 001; Jianfeng Gao 001; Po-Sen Huang; Yejin Choi 001 (NAACL-HLT, 2018)

Natural Language to Structured Query Generation via Meta-Learning. - Po-Sen Huang; Chenglong Wang; Rishabh Singh; Wen-tau Yih; Xiaodong He 001 (NAACL-HLT (2), 2018)

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search. - Yelong Shen; Jianshu Chen; Po-Sen Huang; Yuqing Guo 003; Jianfeng Gao 001 (NeurIPS, 2018)

Execution-Guided Neural Program Decoding. - Chenglong Wang; Po-Sen Huang; Alex Polozov; Marc Brockschmidt; Rishabh Singh (CoRR, 2018)

Neural Phrase-to-Phrase Machine Translation. - Jiangtao Feng; Lingpeng Kong; Po-Sen Huang; Chong Wang; Da Huang; Jiayuan Mao; Kan Qiao; Dengyong Zhou (CoRR, 2018)

Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications. - Chenglong Wang; Rudy Bunel; Krishnamurthy Dvijotham; Po-Sen Huang; Edward Grefenstette; Pushmeet Kohli (CVPR, 2019)

Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. - Po-Sen Huang; Robert Stanforth; Johannes Welbl; Chris Dyer; Dani Yogatama; Sven Gowal; Krishnamurthy Dvijotham; Pushmeet Kohli (EMNLP/IJCNLP (1), 2019)

Are Labels Required for Improving Adversarial Robustness? - Jean-Baptiste Alayrac; Jonathan Uesato; Po-Sen Huang; Alhussein Fawzi; Robert Stanforth; Pushmeet Kohli (NeurIPS, 2019)

Learning Transferable Graph Exploration. - Hanjun Dai; Yujia Li 001; Chenglong Wang; Rishabh Singh; Po-Sen Huang; Pushmeet Kohli (NeurIPS, 2019)

An Alternative Surrogate Loss for PGD-based Adversarial Testing. - Sven Gowal; Jonathan Uesato; Chongli Qin; Po-Sen Huang; Timothy A. Mann; Pushmeet Kohli (CoRR, 2019)

Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. - Sven Gowal; Chongli Qin; Po-Sen Huang; A. Taylan Cemgil; Krishnamurthy Dvijotham; Timothy A. Mann; Pushmeet Kohli (CVPR, 2020)

Towards Robust Image Classification Using Sequential Attention Models. - Daniel Zoran; Mike Chrzanowski; Po-Sen Huang; Sven Gowal; Alex Mott; Pushmeet Kohli (CVPR, 2020)

Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. - Po-Sen Huang; Huan Zhang; Ray Jiang; Robert Stanforth; Johannes Welbl; Jack Rae; Vishal Maini; Dani Yogatama; Pushmeet Kohli (EMNLP (Findings), 2020)

Towards Verified Robustness under Text Deletion Interventions. - Johannes Welbl; Po-Sen Huang; Robert Stanforth; Sven Gowal; Krishnamurthy (Dj) Dvijotham; Martin Szummer; Pushmeet Kohli (ICLR, 2020)

The DeepMind Chinese-English Document Translation System at WMT2020. - Lei Yu 008; Laurent Sartran; Po-Sen Huang; Wojciech Stokowiec; Domenic Donato; Srivatsan Srinivasan; Alek Andreev; Wang Ling; Sona Mokrá; Agustin Dal Lago; Yotam Doron; Susannah Young; et al. (WMT@EMNLP, 2020)

Challenges in Detoxifying Language Models. - Johannes Welbl; Amelia Glaese; Jonathan Uesato; Sumanth Dathathri; John Mellor; Lisa Anne Hendricks; Kirsty Anderson; Pushmeet Kohli; Ben Coppin; Po-Sen Huang (EMNLP (Findings), 2021)

Self-supervised Adversarial Robustness for the Low-label, High-data Regime. - Sven Gowal; Po-Sen Huang; Aäron van den Oord; Timothy A. Mann; Pushmeet Kohli (ICLR, 2021)

Ethical and social risks of harm from Language Models. - 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; et al. (CoRR, 2021)

Scaling Language Models: Methods, Analysis & Insights from Training Gopher. - 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; et al. (CoRR, 2021)

Editorial. - Po-Sen Huang; Yvette C. Paulino; Stuart C. K. So; Dickson K. W. Chiu; Kevin K. W. Ho 001 (Libr. Hi Tech, 2021)

Taxonomy of Risks posed by Language Models. - 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; et al. (FAccT, 2022)

Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. - Maribeth Rauh; John Mellor; Jonathan Uesato; Po-Sen Huang; Johannes Welbl; Laura Weidinger; Sumanth Dathathri; Amelia Glaese; Geoffrey Irving; Iason Gabriel; William Isaac 001; Lisa Anne Hendricks (NeurIPS, 2022)

Competition-Level Code Generation with AlphaCode. - Yujia Li 001; David H. Choi; Junyoung Chung; Nate Kushman; Julian Schrittwieser; Rémi Leblond; Tom Eccles; James Keeling; Felix Gimeno; Agustin Dal Lago; Thomas Hubert; Peter Choy; et al. (CoRR, 2022)

Improving alignment of dialogue agents via targeted human judgements. - 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; et al. (CoRR, 2022)

Guest editorial: COVID-19 Pandemic and Health Informatics Part 2. - Po-Sen Huang; Yvette C. Paulino; Stuart C. K. So; Dickson K. W. Chiu; Kevin K. W. Ho 001 (Libr. Hi Tech, 2022)

Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. - Ryutaro Tanno; David G. T. Barrett; Andrew Sellergren; Sumedh Ghaisas; Sumanth Dathathri; Abigail See; Johannes Welbl; Karan Singhal; Shekoofeh Azizi; Tao Tu 001; Mike Schaekermann; Rhys May; et al. (CoRR, 2023)

Guest editorial: COVID-19 pandemic and health informatics part 3. - Po-Sen Huang; Yvette C. Paulino; Stuart C. K. So; Dickson K. W. Chiu; Kevin K. W. Ho 001 (Libr. Hi Tech, 2023)

Operationalizing Contextual Integrity in Privacy-Conscious Assistants. - Sahra Ghalebikesabi; Eugene Bagdasaryan; Ren Yi; Itay Yona; Ilia Shumailov; Aneesh Pappu; Chongyang Shi 003; Laura Weidinger; Robert Stanforth; Leonard Berrada; Pushmeet Kohli; Po-Sen Huang; et al. (CoRR, 2024)

Enhancing problem-based learning with computational thinking concepts for nursing students in virtual simulation context: Bridging knowledge and practice. - Pei-Hsuan Lin; Po-Sen Huang; Ying Geng; Yueh-Min Huang (Educ. Inf. Technol., 2024)

Scalable watermarking for identifying large language model outputs. - Sumanth Dathathri; Abigail See; Sumedh Ghaisas; Po-Sen Huang; Rob McAdam; Johannes Welbl; Vandana Bachani; Alex Kaskasoli; Robert Stanforth; Tatiana Matejovicova; Jamie Hayes; Nidhi Vyas; et al. (Nat., 2024)

Privacy Awareness for Information-Sharing Assistants: A Case-study on Form-filling with Contextual Integrity. - Sahra Ghalebikesabi; Eugene Bagdasarian; Ren Yi; Itay Yona; Ilia Shumailov; Aneesh Pappu; Chongyang Shi 003; Laura Weidinger; Robert Stanforth; Leonard Berrada; Pushmeet Kohli; Po-Sen Huang; et al. (Trans. Mach. Learn. Res., 2025)

AlphaEvolve: A coding agent for scientific and algorithmic discovery. - Alexander Novikov 001; Ngân Vu; Marvin Eisenberger; Emilien Dupont; Po-Sen Huang; Adam Zsolt Wagner; Sergey Shirobokov; Borislav Kozlovskii; Francisco J. R. Ruiz; Abbas Mehrabian; M. Pawan Kumar; Abigail See; et al. (CoRR, 2025)