Po-Sen Huang - RankMe

84 papers A* 12A 3C 2Misc 9Journal 39Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ArchAgent: Agentic AI-driven Computer Architecture Discovery. CoRR Raghav Gupta, Akanksha Jain, Abraham Gonzalez, Alexander Novikov, Po-Sen Huang, Matej Balog, Marvin Eisenberger, Sergey Shirobokov, Ngân Vu, Martin Dixon, Borivoje Nikolic, Parthasarathy Ranganathan, Sagar Karandikar
2025	J	`jnl`	AlphaEvolve: A coding agent for scientific and algorithmic discovery. CoRR Alexander Novikov, 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, Swarat Chaudhuri, George Holland, Alex Davies, Sebastian Nowozin, Pushmeet Kohli, Matej Balog
2025	J	`jnl`	Privacy Awareness for Information-Sharing Assistants: A Case-study on Form-filling with Contextual Integrity. Trans. Mach. Learn. Res. Sahra Ghalebikesabi, Eugene Bagdasarian, Ren Yi, Itay Yona, Ilia Shumailov, Aneesh Pappu, Chongyang Shi, Laura Weidinger, Robert Stanforth, Leonard Berrada, Pushmeet Kohli, Po-Sen Huang, Borja Balle
2024	J	`jnl`	Enhancing problem-based learning with computational thinking concepts for nursing students in virtual simulation context: Bridging knowledge and practice. Educ. Inf. Technol. Pei-Hsuan Lin, Po-Sen Huang, Ying Geng, Yueh-Min Huang
2024	J	`jnl`	Operationalizing Contextual Integrity in Privacy-Conscious Assistants. CoRR 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
2024	J	`jnl`	Scalable watermarking for identifying large language model outputs. Nat. 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, Majd Al Merey, Jonah Brown-Cohen, Rudy Bunel, Borja Balle, A. Taylan Cemgil, Zahra Ahmed, Kitty Stacpoole, Ilia Shumailov, Ciprian Baetu, Sven Gowal, Demis Hassabis, Pushmeet Kohli
2023	J	`jnl`	Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. CoRR 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
2023	J	`jnl`	Guest editorial: COVID-19 pandemic and health informatics part 3. Libr. Hi Tech Po-Sen Huang, Yvette C. Paulino, Stuart C. K. So, Dickson K. W. Chiu, Kevin K. W. Ho
2022	A*	`conf`	Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. NeurIPS 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
2022	J	`jnl`	Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. CoRR 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
2022	J	`jnl`	Competition-Level Code Generation with AlphaCode. CoRR 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
2022	J	`jnl`	Guest editorial: COVID-19 Pandemic and Health Informatics Part 2. Libr. Hi Tech Po-Sen Huang, Yvette C. Paulino, Stuart C. K. So, Dickson K. W. Chiu, Kevin K. W. Ho
2022	J	`jnl`	Improving alignment of dialogue agents via targeted human judgements. CoRR 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
2022	—	`conf`	Taxonomy of Risks posed by Language Models. FAccT 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 Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, Iason Gabriel
2021	—	`conf`	Challenges in Detoxifying Language Models. EMNLP (Findings) Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang
2021	J	`jnl`	Challenges in Detoxifying Language Models. CoRR Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang
2021	J	`jnl`	Editorial. Libr. Hi Tech Po-Sen Huang, Yvette C. Paulino, Stuart C. K. So, Dickson K. W. Chiu, Kevin K. W. Ho
2021	J	`jnl`	Ethical and social risks of harm from Language Models. CoRR 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
2021	J	`jnl`	Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR 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
2021	A*	`conf`	Self-supervised Adversarial Robustness for the Low-label, High-data Regime. ICLR Sven Gowal, Po-Sen Huang, Aäron van den Oord, Timothy A. Mann, Pushmeet Kohli
2020	A*	`conf`	Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. CVPR Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
2020	—	`conf`	Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. EMNLP (Findings) Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
2020	—	`conf`	The DeepMind Chinese-English Document Translation System at WMT2020. WMT@EMNLP 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
2020	A*	`conf`	Towards Robust Image Classification Using Sequential Attention Models. CVPR Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
2020	A*	`conf`	Towards Verified Robustness under Text Deletion Interventions. ICLR Johannes Welbl, Po-Sen Huang, Robert Stanforth, Sven Gowal, Krishnamurthy (Dj) Dvijotham, Martin Szummer, Pushmeet Kohli
2019	J	`jnl`	Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations. CoRR Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
2019	—	`conf`	Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. EMNLP/IJCNLP (1) Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
2019	J	`jnl`	Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. CoRR Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
2019	J	`jnl`	An Alternative Surrogate Loss for PGD-based Adversarial Testing. CoRR Sven Gowal, Jonathan Uesato, Chongli Qin, Po-Sen Huang, Timothy A. Mann, Pushmeet Kohli
2019	A*	`conf`	Are Labels Required for Improving Adversarial Robustness? NeurIPS Jean-Baptiste Alayrac, Jonathan Uesato, Po-Sen Huang, Alhussein Fawzi, Robert Stanforth, Pushmeet Kohli
2019	J	`jnl`	Are Labels Required for Improving Adversarial Robustness? CoRR Jonathan Uesato, Jean-Baptiste Alayrac, Po-Sen Huang, Robert Stanforth, Alhussein Fawzi, Pushmeet Kohli
2019	A*	`conf`	Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications. CVPR Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli
2019	J	`jnl`	Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications. CoRR Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli
2019	A*	`conf`	Learning Transferable Graph Exploration. NeurIPS Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli
2019	J	`jnl`	Learning Transferable Graph Exploration. CoRR Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli
2019	J	`jnl`	Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. CoRR Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
2019	J	`jnl`	Towards Robust Image Classification Using Sequential Attention Models. CoRR Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
2018	—	`conf`	Discourse-Aware Neural Rewards for Coherent Text Generation. NAACL-HLT Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi
2018	J	`jnl`	Discourse-Aware Neural Rewards for Coherent Text Generation. CoRR Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi
2018	J	`jnl`	Execution-Guided Neural Program Decoding. CoRR Chenglong Wang, Po-Sen Huang, Alex Polozov, Marc Brockschmidt, Rishabh Singh
2018	A*	`conf`	M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search. NeurIPS Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
2018	—	`conf`	Natural Language to Structured Query Generation via Meta-Learning. NAACL-HLT (2) Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He
2018	J	`jnl`	Natural Language to Structured Query Generation via Meta-Learning. CoRR Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He
2018	J	`jnl`	Neural Phrase-to-Phrase Machine Translation. CoRR Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan Mao, Kan Qiao, Dengyong Zhou
2018	—	`conf`	ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. ICLR (Workshop) Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
2018	J	`jnl`	ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. CoRR Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
2018	—	`conf`	Towards Neural Phrase-based Machine Translation. ICLR (Poster) Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng
2017	—	`conf`	Digital Storytelling and Mobile Learning: Potentials for Internationalization of Higher Education Curriculum. SETE@ICWL Andreja Istenic Starcic, Po-Sen Huang, Roza Alexeyevna Valeeva, Liliia Agzamovna Latypova, Yueh-Min Huang
2017	—	`conf`	Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion. Rep4NLP@ACL Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao
2017	J	`jnl`	Neural Phrase-based Machine Translation. CoRR Po-Sen Huang, Chong Wang, Dengyong Zhou, Li Deng
2017	A*	`conf`	ReasoNet: Learning to Stop Reading in Machine Comprehension. KDD Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen
2017	A*	`conf`	Sequence Modeling via Segmentations. ICML Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng
2017	J	`jnl`	Sequence Modeling via Segmentations. CoRR Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng
2017	A*	`conf`	Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. EMNLP David Golub, Po-Sen Huang, Xiaodong He, Li Deng
2017	J	`jnl`	Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. CoRR David Golub, Po-Sen Huang, Xiaodong He, Li Deng
2016	J	`jnl`	Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory. CoRR Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao
2016	—	`conf`	ReasoNet: Learning to Stop Reading in Machine Comprehension. CoCo@NIPS Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen
2016	J	`jnl`	ReasoNet: Learning to Stop Reading in Machine Comprehension. CoRR Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen
2016	J	`jnl`	Unsupervised Learning of Predictors from Unpaired Input-Output Samples. CoRR Jianshu Chen, Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng
2015	J	`jnl`	Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. CoRR Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
2015	J	`jnl`	Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
2015	—	`—`	Shallow and deep learning for audio and natural language processing Po-Sen Huang
2015	—	`conf`	Structured light 3D face scanning system. ICCE-TW Chia-Yen Chen, Po-Sen Huang, Sheng-Wen Huang, Jia-Hong Zhang, Bao Rong Chang
2014	—	`conf`	Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP. CVPR Workshops Zhaowen Wang, Zhangyang Wang, Mark Moll, Po-Sen Huang, Devin K. Grady, Nasser M. Nasrabadi, Thomas S. Huang, Lydia E. Kavraki, Mark Hasegawa-Johnson
2014	Misc	`conf`	Deep learning for monaural speech separation. ICASSP Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
2014	A	`conf`	Gantry-Mounted Laser-Stripe Scanning System for Face Shape Recovery. ICS Sheng-Wen Huang, Po-Sen Huang, Jia-Hong Zhang, Yu-Mei Hong, Chia-Yen Chen, Bao Rong Chang
2014	Misc	`conf`	Kernel methods match Deep Neural Networks on TIMIT. ICASSP Po-Sen Huang, Haim Avron, Tara N. Sainath, Vikas Sindhwani, Bhuvana Ramabhadran
2014	J	`jnl`	Multimedia augmented reality information system for museum guidance. Pers. Ubiquitous Comput. Chia-Yen Chen, Bao Rong Chang, Po-Sen Huang
2014	—	`conf`	Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks. ISMIR Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
2013	Misc	`conf`	Calibration of LiDAR device using infrared images. IVCNZ Chia-Yen Chen, Hsiang-Jen Chien, Po-Sen Huang
2013	—	`conf`	Extrinsic calibration of a multi-beam LiDAR system with improved intrinsic laser parameters using v-shaped planes and infrared images. IVMSP Po-Sen Huang, Wen-Bin Hong, Hsiang-Jen Chien, Chia-Yen Chen
2013	A	`conf`	Learning deep structured semantic models for web search using clickthrough data. CIKM Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, Larry P. Heck
2013	Misc	`conf`	Predicting speech recognition confidence using deep learning with word identity and score features. ICASSP Po-Sen Huang, Kshitiz Kumar, Chaojun Liu, Yifan Gong, Li Deng
2013	Misc	`conf`	Random features for Kernel Deep Convex Network. ICASSP Po-Sen Huang, Li Deng, Mark Hasegawa-Johnson, Xiaodong He
2012	Misc	`conf`	How to put it into words - using random forests to extract symbol level descriptions from audio content for concept detection. ICASSP Po-Sen Huang, Robert Mertens, Ajay Divakaran, Gerald Friedland, Mark Hasegawa-Johnson
2012	Misc	`conf`	Intrinsic parameters calibration for multi-beam LiDAR using the Levenberg-Marquardt algorithm. IVCNZ Chia-Yen Chen, Hsiang-Jen Chien, Po-Sen Huang, Wen-Bin Hong, Chi-Fa Chen
2012	—	`conf`	Large scale 3D scene reconstruction with improved registration of laser range data. ISPACS Chia-Yen Chen, Ying-Chen Lin, Sheng-Wen Huang, Po-Sen Huang, Jun-Ming Pan, Chi-Fa Chen
2012	J	`jnl`	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. Robert Mertens, Po-Sen Huang, Luke R. Gottlieb, Gerald Friedland, Ajay Divakaran, Mark Hasegawa-Johnson
2012	—	`conf`	Opportunistic sensing: Unattended acoustic sensor selection using crowdsourcing models. MLSP Po-Sen Huang, Mark Hasegawa-Johnson, Wotao Yin, Thomas S. Huang
2012	A	`conf`	Pooling Robust Shift-Invariant Sparse Representations of Acoustic Signals. INTERSPEECH Po-Sen Huang, Jianchao Yang, Mark Hasegawa-Johnson, Feng Liang, Thomas S. Huang
2012	Misc	`conf`	Singing-voice separation from monaural recordings using robust principal component analysis. ICASSP Po-Sen Huang, Scott Deeann Chen, Paris Smaragdis, Mark Hasegawa-Johnson
2011	Misc	`conf`	Improving acoustic event detection using generalizable visual features and multi-modality modeling. ICASSP Po-Sen Huang, Xiaodan Zhuang, Mark Hasegawa-Johnson
2011	C	`conf`	Multi-sensory features for personnel detection at border crossings. FUSION Po-Sen Huang, Thyagaraju Damarla, Mark Hasegawa-Johnson
2011	C	`conf`	On the Applicability of Speaker Diarization to Audio Concept Detection for Multimedia Retrieval. ISM Robert Mertens, Po-Sen Huang, Luke R. Gottlieb, Gerald Friedland, Ajay Divakaran