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2020 – today
- 2024
[c58]Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold, Lu Jiang:
VideoPoet: A Large Language Model for Zero-Shot Video Generation. ICML 2024- [i40]Seulki Park, Youren Zhang, Stella X. Yu, Sara Beery, Jonathan Huang:
Learning Hierarchical Semantic Classification by Grounding on Consistent Image Segmentations. CoRR abs/2406.11608 (2024) - [i39]Jae Joong Lee, Bosheng Li, Sara Beery, Jonathan Huang, Songlin Fei, Raymond A. Yeh, Bedrich Benes:
Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors. CoRR abs/2407.10330 (2024) - 2023
- [c57]Vighnesh Birodkar, Jonathan Huang, Meera Hahn, Irfan Essa, Nikolai Warner:
Text and Click inputs for unambiguous open vocabulary instance segmentation. BMVC 2023: 815-819 - [c56]Vasudha Kowtha, Miquel Espi Marques, Jonathan Huang, Yichi Zhang, Carlos Avendaño:
Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations. ICASSP 2023: 1-5 - [c55]Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber
, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav, Ashiqur R. KhudaBukhsh, Chris T. Bauch, Preslav Nakov, Orestis Papakyriakopoulos, Koustuv Saha, Kaveh Khoshnood, Navin Kumar:
Partisan US News Media Representations of Syrian Refugees. ICWSM 2023: 103-113 - [c54]Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross:
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. NeurIPS 2023 - [i38]Vasudha Kowtha, Miquel Espi Marques, Jonathan Huang, Yichi Zhang, Carlos Avendaño:
Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations. CoRR abs/2305.02382 (2023) - [i37]Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross:
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. CoRR abs/2306.01736 (2023) - [i36]Shreyank N. Gowda, Anurag Arnab, Jonathan Huang:
Optimizing ViViT Training: Time and Memory Reduction for Action Recognition. CoRR abs/2306.04822 (2023) - [i35]Tran Hien Van, Abhay Goyal, Muhammad Siddique, Lam Yin Cheung, Nimay Parekh, Jonathan Huang, Keri McCrickerd, Edson C. Tandoc Jr., Gerard Chung, Navin Kumar:
How is Fatherhood Framed Online in Singapore? CoRR abs/2307.04053 (2023) - [i34]Nikolai Warner, Meera Hahn, Jonathan Huang, Irfan Essa, Vighnesh Birodkar:
Text and Click inputs for unambiguous open vocabulary instance segmentation. CoRR abs/2311.14822 (2023) - [i33]Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Rachel Hornung, Hartwig Adam, Hassan Akbari, Yair Alon, Vighnesh Birodkar, Yong Cheng, Ming-Chang Chiu, Joshua V. Dillon, Irfan Essa, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, David A. Ross, Grant Schindler, Mikhail Sirotenko, Kihyuk Sohn, Krishna Somandepalli, Huisheng Wang, Jimmy Yan, Ming-Hsuan Yang, Xuan Yang, Bryan Seybold, Lu Jiang:
VideoPoet: A Large Language Model for Zero-Shot Video Generation. CoRR abs/2312.14125 (2023) - 2022
- [c53]Sara Beery, Guanhang Wu, Trevor Edwards, Filip Pavetic, Bo Majewski, Shreyasee Mukherjee, Stanley Chan, John Morgan, Vivek Rathod, Jonathan Huang:
The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift. CVPR 2022: 21262-21275 - [c52]Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang:
PERF-Net: Pose Empowered RGB-Flow Net. WACV 2022: 798-807 - [i32]Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav, Ashiqur R. KhudaBukhsh, Preslav Ivanov Nakov, Chris T. Bauch, Orestis Papakyriakopoulos, Kaveh Khoshnood, Navin Kumar:
Partisan US News Media Representations of Syrian Refugees. CoRR abs/2206.09024 (2022) - 2021
- [c51]Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang:
The surprising impact of mask-head architecture on novel class segmentation. ICCV 2021: 6995-7005 - [i31]Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang:
The surprising impact of mask-head architecture on novel class segmentation. CoRR abs/2104.00613 (2021) - [i30]Jack Valmadre, Alex Bewley, Jonathan Huang, Chen Sun, Cristian Sminchisescu, Cordelia Schmid:
Local Metrics for Multi-Object Tracking. CoRR abs/2104.02631 (2021) - 2020
- [j8]Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman:
Investigating topics, audio representations and attention for multimodal scene-aware dialog. Comput. Speech Lang. 64: 101102 (2020) - [j7]Héctor A. Cordourier Maruri, Paulo Lopez-Meyer, Jonathan Huang, Willem Marco Beltman, Lama Nachman, Hong Lu:
V-Speech: Noise-Robust Speech Capturing Glasses Using Vibration Sensors. GetMobile Mob. Comput. Commun. 24(2): 18-24 (2020) - [c50]Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang:
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection. CVPR 2020: 13072-13082 - [c49]Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang:
RetinaTrack: Online Single Stage Joint Detection and Tracking. CVPR 2020: 14656-14666 - [c48]Jose A. Lopez, Hong Lu, Paulo Lopez-Meyer, Lama Nachman, Georg Stemmer, Jonathan Huang:
A Speaker Recognition Approach to Anomaly Detection. DCASE 2020: 96-99 - [c47]Jingchi Zhang, Jonathan Huang, Michael Deisher, Hai Helen Li, Yiran Chen:
Structural Sparsification for Far-Field Speaker Recognition with Intel® Gna. ICASSP 2020: 3037-3041 - [c46]Munir Georges, Jonathan Huang, Tobias Bocklet:
Compact Speaker Embedding: lrx-Vector. INTERSPEECH 2020: 3236-3240 - [c45]Wenda Chen, Jonathan Huang, Tobias Bocklet:
Length- and Noise-Aware Training Techniques for Short-Utterance Speaker Recognition. INTERSPEECH 2020: 3835-3839 - [c44]Jonathan Huang:
Modern Architectures for Core Computer Vision on Videos. IWSSIP 2020: 11 - [i29]Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang:
RetinaTrack: Online Single Stage Joint Detection and Tracking. CoRR abs/2003.13870 (2020) - [i28]Munir Georges, Jonathan Huang, Tobias Bocklet:
Compact Speaker Embedding: lrx-vector. CoRR abs/2008.05011 (2020) - [i27]Wenda Chen, Jonathan Huang, Mark Hasegawa-Johnson:
Utterance-level Intent Recognition from Keywords. CoRR abs/2009.08064 (2020) - [i26]Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang:
PERF-Net: Pose Empowered RGB-Flow Net. CoRR abs/2009.13087 (2020)
2010 – 2019
- 2019
- [c43]Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang:
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference. CVPR Workshops 2019: 103-108 - [c42]Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, Kevin Murphy:
Diverse Generation for Multi-Agent Sports Games. CVPR 2019: 4610-4619 - [c41]Héctor A. Cordourier, Paulo Lopez-Meyer, Jonathan Huang, Juan A. del Hoyo Ontiveros, Hong Lu:
GCC-PHAT Cross-Correlation Audio Features for Simultaneous Sound Event Localization and Detection (SELD) on Multiple Rooms. DCASE 2019: 55-58 - [c40]Jonathan Huang, Hong Lu, Paulo Lopez-Meyer, Héctor A. Cordourier, Juan A. del Hoyo Ontiveros:
Acoustic Scene Classification Using Deep Learning-based Ensemble Averaging. DCASE 2019: 94-98 - [c39]Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang:
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference. ICCV 2019: 6300-6309 - [c38]Jonathan Huang, Tobias Bocklet:
Intel Far-Field Speaker Recognition System for VOiCES Challenge 2019. INTERSPEECH 2019: 2473-2477 - [i25]Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman:
Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog. ViGIL@NeurIPS 2019 - [i24]Jingchi Zhang, Jonathan Huang, Michael Deisher, Hai Li, Yiran Chen:
Structural sparsification for Far-field Speaker Recognition with GNA. CoRR abs/1910.11488 (2019) - [i23]Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang:
Long Term Temporal Context for Per-Camera Object Detection. CoRR abs/1912.03538 (2019) - [i22]Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman:
Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog. CoRR abs/1912.10131 (2019) - [i21]Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman:
Exploring Context, Attention and Audio Features for Audio Visual Scene-Aware Dialog. CoRR abs/1912.10132 (2019) - 2018
- [j6]Héctor A. Cordourier Maruri, Paulo Lopez-Meyer, Jonathan Huang, Willem Marco Beltman, Lama Nachman, Hong Lu:
V-Speech: Noise-Robust Speech Capturing Glasses Using Vibration Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(4): 180:1-180:23 (2018) - [c37]Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy:
Progressive Neural Architecture Search. ECCV (1) 2018: 19-35 - [c36]Tal Remez, Jonathan Huang, Matthew Brown:
Learning to Segment via Cut-and-Paste. ECCV (7) 2018: 39-54 - [c35]Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy:
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. ECCV (15) 2018: 318-335 - [c34]Gokcen Cilingir, Jonathan Huang, Mandar S. Joshi, Narayan Biswal:
Sufficiency Quantification for Seamless Text-Independent Speaker Enrollment. ICASSP 2018: 5259-5263 - [c33]Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy:
Generative Models of Visually Grounded Imagination. ICLR (Poster) 2018 - [i20]Tal Remez, Jonathan Huang, Matthew Brown:
Learning to Segment via Cut-and-Paste. CoRR abs/1803.06414 (2018) - [i19]Saurav Sahay, Shachi H. Kumar, Rui Xia, Jonathan Huang, Lama Nachman:
Multimodal Relational Tensor Network for Sentiment and Emotion Classification. CoRR abs/1806.02923 (2018) - [i18]Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang:
Uncertainty aware multimodal activity recognition with Bayesian inference. CoRR abs/1811.10811 (2018) - [i17]Shachi H. Kumar, Eda Okur, Saurav Sahay, Juan Jose Alvarado Leanos, Jonathan Huang, Lama Nachman:
Context, Attention and Audio Feature Explorations for Audio Visual Scene-Aware Dialog. CoRR abs/1812.08407 (2018) - 2017
- [j5]Ke-Yu Chen, Rahul C. Shah, Jonathan Huang, Lama Nachman:
Mago: Mode of Transport Inference Using the Hall-Effect Magnetic Sensor and Accelerometer. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(2): 8:1-8:23 (2017) - [j4]Mihaela van der Schaar, Richard G. Baraniuk, Mung Chiang, Jonathan Huang, Shengdong Zhao:
Introduction to the Issue on Signal Processing and Machine Learning. IEEE J. Sel. Top. Signal Process. 11(5): 713-715 (2017) - [c32]Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov:
Spatially Adaptive Computation Time for Residual Networks. CVPR 2017: 1790-1799 - [c31]Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy:
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors. CVPR 2017: 3296-3297 - [i16]Katerina Fragkiadaki, Jonathan Huang, Alex Alemi, Sudheendra Vijayanarasimhan, Susanna Ricco, Rahul Sukthankar:
Motion Prediction Under Multimodality with Conditional Stochastic Networks. CoRR abs/1705.02082 (2017) - [i15]Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy:
Generative Models of Visually Grounded Imagination. CoRR abs/1705.10762 (2017) - [i14]Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy:
Progressive Neural Architecture Search. CoRR abs/1712.00559 (2017) - [i13]Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy:
Rethinking Spatiotemporal Feature Learning For Video Understanding. CoRR abs/1712.04851 (2017) - 2016
- [c30]Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy:
Generation and Comprehension of Unambiguous Object Descriptions. CVPR 2016: 11-20 - [c29]Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei:
Detecting Events and Key Actors in Multi-person Videos. CVPR 2016: 3043-3053 - [i12]Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy:
Speed/accuracy trade-offs for modern convolutional object detectors. CoRR abs/1611.10012 (2016) - [i11]Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov:
Spatially Adaptive Computation Time for Residual Networks. CoRR abs/1612.02297 (2016) - 2015
- [c28]Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy:
Im2Calories: Towards an Automated Mobile Vision Food Diary. ICCV 2015: 1233-1241 - [c27]Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, Leonidas J. Guibas:
Learning Program Embeddings to Propagate Feedback on Student Code. ICML 2015: 1093-1102 - [c26]Michel Assayag, Jonathan Huang, Jonathan Mamou, Oren Pereg, Saurav Sahay, Oren Shamir, Georg Stemmer, Moshe Wasserblat:
Meeting assistant application. INTERSPEECH 2015: 734-735 - [c25]Alexandra L. Young, Neil P. Oxtoby, Jonathan Huang, Razvan V. Marinescu, Pankaj Daga, David M. Cash, Nick C. Fox, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander:
Multiple Orderings of Events in Disease Progression. IPMI 2015: 711-722 - [c24]Chris Piech, Mehran Sahami, Jonathan Huang, Leonidas J. Guibas:
Autonomously Generating Hints by Inferring Problem Solving Policies. L@S 2015: 195-204 - [c23]Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nicholas Johnston, Andrew Rabinovich, Kevin Murphy:
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. HLT-NAACL 2015: 143-152 - [c22]Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas, Jascha Sohl-Dickstein:
Deep Knowledge Tracing. NIPS 2015: 505-513 - [i10]Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy:
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. CoRR abs/1503.01558 (2015) - [i9]Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, Leonidas J. Guibas:
Learning Program Embeddings to Propagate Feedback on Student Code. CoRR abs/1505.05969 (2015) - [i8]Chris Piech, Jonathan Spencer, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas, Jascha Sohl-Dickstein:
Deep Knowledge Tracing. CoRR abs/1506.05908 (2015) - [i7]Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy:
Generation and Comprehension of Unambiguous Object Descriptions. CoRR abs/1511.02283 (2015) - [i6]Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei:
Detecting events and key actors in multi-person videos. CoRR abs/1511.02917 (2015) - [i5]Jonathan Huang, Kevin Murphy:
Efficient inference in occlusion-aware generative models of images. CoRR abs/1511.06362 (2015) - 2014
- [c21]Hong Lu, Jonathan Huang, Tanwistha Saha, Lama Nachman:
Unobtrusive gait verification for mobile phones. ISWC 2014: 91-98 - [c20]Jonathan Huang, Anirban Dasgupta, Arpita Ghosh, Jane Manning, Marc Sanders:
Superposter behavior in MOOC forums. L@S 2014: 117-126 - [c19]Andy Nguyen, Christopher Piech, Jonathan Huang, Leonidas J. Guibas:
Codewebs: scalable homework search for massive open online programming courses. WWW 2014: 491-502 - [i4]Jonathan Huang, Ashish Kapoor, Carlos Guestrin:
Riffled Independence for Efficient Inference with Partial Rankings. CoRR abs/1401.6421 (2014) - 2013
- [c18]Jonathan Huang, Chris Piech, Andy Nguyen, Leonidas J. Guibas:
Syntactic and Functional Variability of a Million Code Submissions in a Machine Learning MOOC. AIED Workshops 2013 - [c17]Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller:
Tuned Models of Peer Assessment in MOOCs. EDM 2013: 153-160 - [i3]Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller:
Tuned Models of Peer Assessment in MOOCs. CoRR abs/1307.2579 (2013) - 2012
- [j3]Jonathan Huang, Ashish Kapoor, Carlos Guestrin:
Riffled Independence for Efficient Inference with Partial Rankings. J. Artif. Intell. Res. 44: 491-532 (2012) - [c16]Jonathan Huang, Daniel C. Alexander:
Probabilistic Event Cascades for Alzheimer's disease. NIPS 2012: 3104-3112 - [i2]Jonathan Huang, Ashish Kapoor, Carlos Guestrin:
Efficient Probabilistic Inference with Partial Ranking Queries. CoRR abs/1202.3734 (2012) - 2011
- [c15]Xiaoye Jiang, Jonathan Huang, Leonidas J. Guibas:
Fourier-Information Duality in the Identity Management Problem. ECML/PKDD (2) 2011: 97-113 - [c14]Jonathan Huang, Ashish Kapoor, Carlos Guestrin:
Efficient Probabilistic Inference with Partial Ranking Queries. UAI 2011: 355-362 - 2010
- [c13]Henry Bruce, Giuseppe Raffa, Louis LeGrand, Jonathan Huang, Bernie Keany, Rick Edgecombe:
An Extensible Sensor based Inferencing Framework for Context Aware Applications. CIT 2010: 2878-2883 - [c12]Jonathan Huang, Carlos Guestrin:
Learning Hierarchical Riffle Independent Groupings from Rankings. ICML 2010: 455-462 - [i1]Jonathan Huang, Carlos Guestrin:
Uncovering the Riffled Independence Structure of Rankings. CoRR abs/1006.1328 (2010)
2000 – 2009
- 2009
- [j2]Jonathan Huang, Carlos Guestrin, Leonidas J. Guibas:
Fourier Theoretic Probabilistic Inference over Permutations. J. Mach. Learn. Res. 10: 997-1070 (2009) - [c11]Le Song, Jonathan Huang, Alexander J. Smola, Kenji Fukumizu:
Hilbert space embeddings of conditional distributions with applications to dynamical systems. ICML 2009: 961-968 - [c10]Jonathan Huang, Carlos Guestrin:
Riffled Independence for Ranked Data. NIPS 2009: 799-807 - [c9]Jonathan Huang, Carlos Guestrin, Xiaoye Jiang, Leonidas J. Guibas:
Exploiting Probabilistic Independence for Permutations. AISTATS 2009: 248-255 - 2007
- [c8]Jonathan Huang, Carlos Guestrin, Leonidas J. Guibas:
Efficient Inference for Distributions on Permutations. NIPS 2007: 697-704 - [c7]Robert P. Adler, Jonathan Huang, Raymond Kong, Philip Muse, Lama Nachman, Rahul C. Shah, Chieh-Yih Wan, Mark D. Yarvis:
Edge Processing and Enterprise Integration: Closing the Gap on Deployable Industrial Sensor Networks. SECON 2007: 620-630 - 2005
- [c6]Lama Nachman, Ralph Kling, Robert Adler, Jonathan Huang, Vincent Hummel:
The Intel Mote platform: a bluetooth-based sensor network for industrial monitoring. IPSN 2005: 437-442 - [c5]Robert Adler, Mick Flanigan, Jonathan Huang, Ralph Kling, Nandakishore Kushalnagar, Lama Nachman, Chieh-Yih Wan, Mark D. Yarvis:
Intel mote 2: an advanced platform for demanding sensor network applications. SenSys 2005: 298 - 2004
- [c4]Ralph Kling, Robert Adler, Jonathan Huang, Vincent Hummel, Lama Nachman:
Intel Mote: using bluetooth in sensor networks. SenSys 2004: 318 - 2000
- [j1]Jonathan Huang, Kuan-Chieh Yen, Yunxin Zhao:
Subband-based adaptive decorrelation filtering for co-channel speech separation. IEEE Trans. Speech Audio Process. 8(4): 402-406 (2000) - [c3]Jonathan Huang, Joseph Michiels:
Exploring property-based document organization in a collaborative note-sharing system. CHI Extended Abstracts 2000: 327-328
1990 – 1999
- 1999
- [c2]Richard C. Davis, James A. Landay, Victor Chen, Jonathan Huang, Rebecca B. Lee:
NotePals: Light Weight Note Sharing by the Group, for the Group. CHI 1999: 338-345 - 1992
- [c1]Nam Ling, Timothy K. Shih, Jonathan Huang:
Inductive techniques for formal verification of systolic array designs in DSP applications. ICASSP 1992: 573-576
Coauthor Index
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