Haw-Shiuan Chang
Haw-Shiuan Chang
School of Computer Science, UMass, Amherst
Verified email at cs.umass.edu - Homepage
Cited by
Cited by
Active bias: Training more accurate neural networks by emphasizing high variance samples
HS Chang, E Learned-Miller, A McCallum
Advances in Neural Information Processing Systems, 1002-1012, 2017
Exploring visual and motion saliency for automatic video object extraction
WT Li, HS Chang, KC Lien, HT Chang, YCF Wang
IEEE transactions on image processing 22 (7), 2600-2610, 2013
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection
HS Chang, ZY Wang, L Vilnis, A McCallum
Proceedings of the 2018 Conference of the North American Chapter of theá…, 2018
Optimizing the decomposition for multiple foreground cosegmentation
HS Chang, YCF Wang
Computer Vision and Image Understanding 141, 18-27, 2015
Automatically extracting action graphs from materials science synthesis procedures
S Mysore, E Kim, E Strubell, A Liu, HS Chang, S Kompella, K Huang, ...
arXiv preprint arXiv:1711.06872, 2017
Superpixel-based large displacement optical flow
HS Chang, YCF Wang
2013 IEEE International Conference on Image Processing, 3835-3839, 2013
Modeling Exercise Relationships in E-Learning: A Unified Approach
HS Chang, HJ Hsu, KT Chen
International Conference on Educational Data Mining (EDM), 2015
The materials science procedural text corpus: Annotating materials synthesis procedures with shallow semantic structures
S Mysore, Z Jensen, E Kim, K Huang, HS Chang, E Strubell, J Flanigan, ...
arXiv preprint arXiv:1905.06939, 2019
Active learning for crowdsourced QoE modeling
HS Chang, CF Hsu, T Ho▀feld, KT Chen
IEEE Transactions on Multimedia 20 (12), 3337-3352, 2018
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema.
HS Chang, A Munir, A Liu, JTZ Wei, A Traylor, A Nagesh, N Monath, ...
TAC, 2016
Efficient graph-based word sense induction by distributional inclusion vector embeddings
HS Chang, A Agrawal, A Ganesh, A Desai, V Mathur, A Hough, ...
arXiv preprint arXiv:1804.03257, 2018
Inorganic materials synthesis planning with literature-trained neural networks
E Kim, Z Jensen, A van Grootel, K Huang, M Staib, S Mysore, HS Chang, ...
Journal of Chemical Information and Modeling 60 (3), 1194-1201, 2020
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types
XL Dong, X He, A Kan, X Li, Y Liang, J Ma, YE Xu, C Zhang, T Zhao, ...
arXiv preprint arXiv:2006.13473, 2020
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types
X Luna Dong, X He, A Kan, X Li, Y Liang, J Ma, YE Xu, C Zhang, T Zhao, ...
arXiv, arXiv: 2006.13473, 2020
Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition
HS Chang, S Vembu, S Mohan, R Uppaal, A McCallum
arXiv preprint arXiv:1911.07335, 2019
Learning Multi-facet Embeddings of Phrases and Sentences using Sparse Coding for Unsupervised Semantic Applications
HS Chang, A Agrawal, A McCallum
Simple-to-Complex Discriminative Clustering for Hierarchical Image Segmentation
HS Chang, YCF Wang
Asian Conference on Computer Vision (ACCV), 2014
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