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Jiaji Huang
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2020 – today
- 2024
- [c25]Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis:
Inference Optimization of Foundation Models on AI Accelerators. KDD 2024: 6605-6615 - [i15]Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis:
Inference Optimization of Foundation Models on AI Accelerators. CoRR abs/2407.09111 (2024) - 2022
- [c24]Xingyu Cai, Jiahong Yuan, Yuchen Bian, Guangxu Xun, Jiaji Huang, Kenneth Church:
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards. ICLR 2022 - [i14]Guangxu Xun, Mingbo Ma, Yuchen Bian, Xingyu Cai, Jiaji Huang, Renjie Zheng, Junkun Chen, Jiahong Yuan, Kenneth Church, Liang Huang:
Data-Driven Adaptive Simultaneous Machine Translation. CoRR abs/2204.12672 (2022) - 2021
- [c23]Jilin Wang, Jiaji Huang, Kenneth Ward Church:
Large Margin Training Improves Language Models for ASR. ICASSP 2021: 7368-7372 - [c22]Sherif Abdelkarim, Aniket Agarwal, Panos Achlioptas, Jun Chen, Jiaji Huang, Boyang Li, Kenneth Church, Mohamed Elhoseiny:
Exploring Long Tail Visual Relationship Recognition with Large Vocabulary. ICCV 2021: 15901-15910 - [c21]Xingyu Cai, Jiaji Huang, Yuchen Bian, Kenneth Church:
Isotropy in the Contextual Embedding Space: Clusters and Manifolds. ICLR 2021 - [c20]Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro:
DiffWave: A Versatile Diffusion Model for Audio Synthesis. ICLR 2021 - [c19]Xingyu Cai, Yuchen Bian, Jiaji Huang, Boxiang Liu, Jiahong Yuan, Kenneth Church:
SSPF: a Simple and Scalable Parameter Free Clustering Method. ICDM (Workshops) 2021: 659-668 - [c18]Yuchen Bian, Jiaji Huang, Xingyu Cai, Jiahong Yuan, Kenneth Church:
On Attention Redundancy: A Comprehensive Study. NAACL-HLT 2021: 930-945 - [c17]Jiaji Huang, Qiang Qiu, Kenneth Church:
Exploiting a Zoo of Checkpoints for Unseen Tasks. NeurIPS 2021: 19423-19434 - [i13]Boxiang Liu, Jiaji Huang, Xingyu Cai, Kenneth Church:
Better than BERT but Worse than Baseline. CoRR abs/2105.05915 (2021) - [i12]Jiaji Huang, Qiang Qiu, Kenneth Church:
Exploiting a Zoo of Checkpoints for Unseen Tasks. CoRR abs/2111.03628 (2021) - 2020
- [c16]Jiaji Huang, Xingyu Cai, Kenneth Church:
Improving Bilingual Lexicon Induction for Low Frequency Words. EMNLP (1) 2020: 1310-1314 - [c15]Jiahong Yuan, Yuchen Bian, Xingyu Cai, Jiaji Huang, Zheng Ye, Kenneth Church:
Disfluencies and Fine-Tuning Pre-Trained Language Models for Detection of Alzheimer's Disease. INTERSPEECH 2020: 2162-2166 - [i11]Sherif Abdelkarim, Panos Achlioptas, Jiaji Huang, Boyang Li, Kenneth Church, Mohamed Elhoseiny:
Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss. CoRR abs/2004.00436 (2020) - [i10]Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro:
DiffWave: A Versatile Diffusion Model for Audio Synthesis. CoRR abs/2009.09761 (2020)
2010 – 2019
- 2019
- [c14]Jiaji Huang, Qiang Qiu, Kenneth Church:
Hubless Nearest Neighbor Search for Bilingual Lexicon Induction. ACL (1) 2019: 4072-4080 - [c13]Md. Mostofa Ali Patwary, Milind Chabbi, Heewoo Jun, Jiaji Huang, Greg Diamos, Kenneth Church:
Language Modeling at Scale. IPDPS 2019: 590-599 - 2018
- [c12]Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin:
Topic Compositional Neural Language Model. AISTATS 2018: 356-365 - [c11]Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CVPR 2018: 2743-2751 - [c10]Jiaji Huang, Yi Li, Wei Ping, Liang Huang:
Large Margin Neural Language Model. EMNLP 2018: 1183-1191 - [i9]Jiaji Huang, Yi Li, Wei Ping, Liang Huang:
Large Margin Neural Language Model. CoRR abs/1808.08987 (2018) - [i8]Md. Mostofa Ali Patwary, Milind Chabbi, Heewoo Jun, Jiaji Huang, Gregory Frederick Diamos, Kenneth Church:
Language Modeling at Scale. CoRR abs/1810.10045 (2018) - 2017
- [i7]Eric Battenberg, Rewon Child, Adam Coates, Christopher Fougner, Yashesh Gaur, Jiaji Huang, Heewoo Jun, Ajay Kannan, Markus Kliegl, Atul Kumar, Hairong Liu, Vinay Rao, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu:
Reducing Bias in Production Speech Models. CoRR abs/1705.04400 (2017) - [i6]Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CoRR abs/1711.06246 (2017) - [i5]Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin:
Topic Compositional Neural Language Model. CoRR abs/1712.09783 (2017) - 2016
- [b1]Jiaji Huang:
Learning from Geometry. Duke University, Durham, NC, USA, 2016 - [j3]Jiaji Huang, Qiang Qiu, A. Robert Calderbank:
The Role of Principal Angles in Subspace Classification. IEEE Trans. Signal Process. 64(8): 1933-1945 (2016) - [i4]Jiaji Huang, Rewon Child, Vinay Rao, Hairong Liu, Sanjeev Satheesh, Adam Coates:
Active Learning for Speech Recognition: the Power of Gradients. CoRR abs/1612.03226 (2016) - 2015
- [j2]Liming Wang, Jiaji Huang, Xin Yuan, Kalyani Krishnamurthy, Joel A. Greenberg, Volkan Cevher, Miguel R. D. Rodrigues, David J. Brady, A. Robert Calderbank, Lawrence Carin:
Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements. SIAM J. Imaging Sci. 8(3): 1923-1954 (2015) - [c9]Jiaji Huang, Xin Yuan, A. Robert Calderbank:
Multi-scale Bayesian reconstruction of compressive X-ray image. ICASSP 2015: 1618-1622 - [c8]Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Miguel R. D. Rodrigues, Guillermo Sapiro:
Alignment with intra-class structure can improve classification. ICASSP 2015: 1921-1925 - [c7]Xin Yuan, Jiaji Huang, A. Robert Calderbank:
Polynomial-phase signal direction-finding and source-tracking with a single acoustic vector sensor. ICASSP 2015: 2559-2563 - [c6]Jiaji Huang, Xin Yuan, A. Robert Calderbank:
Collaborative compressive X-ray image reconstruction. ICASSP 2015: 3282-3286 - [c5]Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro:
Geometry-Aware Deep Transform. ICCV 2015: 4139-4147 - [c4]Liming Wang, Jiaji Huang, Xin Yuan, Volkan Cevher, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin:
A concentration-of-measure inequality for multiple-measurement models. ISIT 2015: 2341-2345 - [c3]Jiaji Huang, Qiang Qiu, Guillermo Sapiro, A. Robert Calderbank:
Discriminative Robust Transformation Learning. NIPS 2015: 1333-1341 - [c2]Jiaji Huang, Xia Ning:
Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection. PAKDD (1) 2015: 429-441 - [i3]Jiaji Huang, Qiang Qiu, A. Robert Calderbank:
The Role of Principal Angles in Subspace Classification. CoRR abs/1507.04230 (2015) - [i2]Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro:
Geometry-aware Deep Transform. CoRR abs/1509.05360 (2015) - 2013
- [j1]Yao Xie, Jiaji Huang, Rebecca Willett:
Change-Point Detection for High-Dimensional Time Series With Missing Data. IEEE J. Sel. Top. Signal Process. 7(1): 12-27 (2013) - 2012
- [c1]Yao Xie, Jiaji Huang, Rebecca Willett:
Multiscale online tracking of manifolds. SSP 2012: 620-623 - [i1]Yao Xie, Jiaji Huang, Rebecca Willett:
Changepoint detection for high-dimensional time series with missing data. CoRR abs/1208.5062 (2012)
Coauthor Index
aka: Kenneth Ward Church
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