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Haw-Shiuan Chang
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2020 – today
- 2024
- [c17]Haw-Shiuan Chang
, Nikhil Agarwal
, Andrew McCallum
:
To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders. WSDM 2024: 67-76 - [i19]Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung:
REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy. CoRR abs/2406.07735 (2024) - 2023
- [c16]Haw-Shiuan Chang, Ruei-Yao Sun, Kathryn Ricci, Andrew McCallum:
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling. ACL (1) 2023: 821-854 - [c15]Haw-Shiuan Chang, Zonghai Yao
, Alolika Gon, Hong Yu, Andrew McCallum:
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond. ACL (Findings) 2023: 12707-12730 - [i18]Haw-Shiuan Chang, Zonghai Yao, Alolika Gon, Hong Yu, Andrew McCallum:
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond. CoRR abs/2305.12289 (2023) - [i17]Ronald Seoh, Haw-Shiuan Chang, Andrew McCallum:
Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens. CoRR abs/2309.04333 (2023) - [i16]Haw-Shiuan Chang, Nikhil Agarwal, Andrew McCallum:
To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders. CoRR abs/2310.14079 (2023) - 2022
- [c14]Haw-Shiuan Chang, Andrew McCallum:
Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions. ACL (1) 2022: 8048-8073 - [c13]Kathryn Ricci, Haw-Shiuan Chang, Purujit Goyal, Andrew McCallum:
Unsupervised Partial Sentence Matching for Cited Text Identification. SDP@COLING 2022: 95-104 - [i15]Hyeonsu B. Kang, Sheshera Mysore
, Kevin Huang, Haw-Shiuan Chang, Thorben Prein, Andrew McCallum, Aniket Kittur, Elsa Olivetti:
Augmenting Scientific Creativity with Retrieval across Knowledge Domains. CoRR abs/2206.01328 (2022) - [i14]Haw-Shiuan Chang, Ruei-Yao Sun, Kathryn Ricci, Andrew McCallum:
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling. CoRR abs/2210.05043 (2022) - 2021
- [c12]Haw-Shiuan Chang, Amol Agrawal, Andrew McCallum:
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications. AAAI 2021: 6956-6965 - [c11]Rohan Paul, Haw-Shiuan Chang, Andrew McCallum:
Multi-facet Universal Schema. EACL 2021: 909-919 - [c10]Haw-Shiuan Chang, Jiaming Yuan, Mohit Iyyer, Andrew McCallum:
Changing the Mind of Transformers for Topically-Controllable Language Generation. EACL 2021: 2601-2611 - [c9]Ronald Seoh, Ian Birle, Mrinal Tak, Haw-Shiuan Chang, Brian Pinette, Alfred Hough:
Open Aspect Target Sentiment Classification with Natural Language Prompts. EMNLP (1) 2021: 6311-6322 - [i13]Haw-Shiuan Chang, Amol Agrawal, Andrew McCallum:
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications. CoRR abs/2103.15330 (2021) - [i12]Haw-Shiuan Chang, Jiaming Yuan, Mohit Iyyer, Andrew McCallum:
Changing the Mind of Transformers for Topically-Controllable Language Generation. CoRR abs/2103.15335 (2021) - [i11]Rohan Paul, Haw-Shiuan Chang, Andrew McCallum:
Multi-facet Universal Schema. CoRR abs/2103.15339 (2021) - [i10]Ronald Seoh, Ian Birle, Mrinal Tak, Haw-Shiuan Chang, Brian Pinette, Alfred Hough:
Open Aspect Target Sentiment Classification with Natural Language Prompts. CoRR abs/2109.03685 (2021) - 2020
- [j5]Edward Kim
, Zach Jensen
, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore
, Haw-Shiuan Chang
, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti
:
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. J. Chem. Inf. Model. 60(3): 1194-1201 (2020) - [j4]Haw-Shiuan Chang
, Shankar Vembu, Sunil Mohan, Rheeya Uppaal
, Andrew McCallum:
Using error decay prediction to overcome practical issues of deep active learning for named entity recognition. Mach. Learn. 109(9-10): 1749-1778 (2020) - [c8]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma
, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang
, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 2020: 2724-2734 - [i9]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma
, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR abs/2006.13473 (2020)
2010 – 2019
- 2019
- [c7]Sheshera Mysore
, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti:
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. LAW@ACL 2019: 56-64 - [i8]Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti:
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. CoRR abs/1901.00032 (2019) - [i7]Sheshera Mysore, Zach Jensen, Edward Kim
, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti:
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. CoRR abs/1905.06939 (2019) - [i6]Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum:
Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition. CoRR abs/1911.07335 (2019) - 2018
- [j3]Haw-Shiuan Chang
, Chih-Fan Hsu
, Tobias Hoßfeld
, Kuan-Ta Chen
:
Active Learning for Crowdsourced QoE Modeling. IEEE Trans. Multim. 20(12): 3337-3352 (2018) - [c6]Haw-Shiuan Chang, ZiYun Wang, Luke Vilnis, Andrew McCallum:
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection. NAACL-HLT 2018: 485-495 - [c5]Haw-Shiuan Chang, Amol Agrawal, Ananya Ganesh, Anirudha Desai, Vinayak Mathur, Alfred Hough, Andrew McCallum:
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings. TextGraphs@NAACL-HLT 2018: 38-48 - [i5]Haw-Shiuan Chang, Amol Agrawal, Ananya Ganesh, Anirudha Desai, Vinayak Mathur, Alfred Hough, Andrew McCallum:
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings. CoRR abs/1804.03257 (2018) - 2017
- [c4]Haw-Shiuan Chang, Erik G. Learned-Miller, Andrew McCallum:
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples. NIPS 2017: 1002-1012 - [i4]Haw-Shiuan Chang, Erik G. Learned-Miller, Andrew McCallum:
Active Bias: Training a More Accurate Neural Network by Emphasizing High Variance Samples. CoRR abs/1704.07433 (2017) - [i3]Haw-Shiuan Chang, ZiYun Wang, Luke Vilnis, Andrew McCallum:
Unsupervised Hypernym Detection by Distributional Inclusion Vector Embedding. CoRR abs/1710.00880 (2017) - [i2]Sheshera Mysore, Edward Kim
, Emma Strubell, Ao Liu, Haw-Shiuan Chang, Srikrishna Kompella, Kevin Huang, Andrew McCallum, Elsa Olivetti:
Automatically Extracting Action Graphs from Materials Science Synthesis Procedures. CoRR abs/1711.06872 (2017) - 2016
- [i1]Haw-Shiuan Chang, Abdurrahman Munir, Ao Liu, Johnny Tian-Zheng Wei, Aaron Traylor, Ajay Nagesh, Nicholas Monath, Patrick Verga, Emma Strubell, Andrew McCallum:
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema. TAC 2016 - 2015
- [j2]Haw-Shiuan Chang
, Yu-Chiang Frank Wang
:
Optimizing the decomposition for multiple foreground cosegmentation. Comput. Vis. Image Underst. 141: 18-27 (2015) - [c3]Haw-Shiuan Chang, Hwai-Jung Hsu, Kuan-Ta Chen:
Modeling Exercise Relationships in E-Learning: A Unified Approach. EDM 2015: 532-535 - 2014
- [c2]Haw-Shiuan Chang
, Yu-Chiang Frank Wang:
Simple-to-Complex Discriminative Clustering for Hierarchical Image Segmentation. ACCV (3) 2014: 391-407 - 2013
- [j1]Wei-Te Li, Haw-Shiuan Chang
, Kuo-Chin Lien, Hui-Tang Chang, Yu-Chiang Frank Wang:
Exploring Visual and Motion Saliency for Automatic Video Object Extraction. IEEE Trans. Image Process. 22(7): 2600-2610 (2013) - [c1]Haw-Shiuan Chang, Yu-Chiang Frank Wang:
Superpixel-based large displacement optical flow. ICIP 2013: 3835-3839
Coauthor Index
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