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Binxuan Huang
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2020 – today
- 2024
- [i18]Kewei Cheng, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Binxuan Huang, Ruirui Li, Shiyang Li, Zheng Li, Yifan Gao, Xian Li, Bing Yin, Yizhou Sun:
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs. CoRR abs/2408.00114 (2024) - 2023
- [j3]Ritesh Sarkhel, Binxuan Huang, Colin Lockard, Prashant Shiralkar:
Self-Training for Label-Efficient Information Extraction from Semi-Structured Web-Pages. Proc. VLDB Endow. 16(11): 3098-3110 (2023) - [c12]Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. ACL (industry) 2023: 172-185 - [c11]Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang:
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. ACL (Findings) 2023: 10105-10118 - [i17]Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang:
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. CoRR abs/2307.01933 (2023) - 2022
- [i16]Xiang Deng, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Huan Sun:
DOM-LM: Learning Generalizable Representations for HTML Documents. CoRR abs/2201.10608 (2022) - [i15]Ritesh Sarkhel, Binxuan Huang, Colin Lockard, Prashant Shiralkar:
Label-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents. CoRR abs/2208.13086 (2022) - 2021
- [j2]Sumeet Kumar, Binxuan Huang, Ramon Alfonso Villa Cox, Kathleen M. Carley:
An anatomical comparison of fake-news and trusted-news sharing pattern on Twitter. Comput. Math. Organ. Theory 27(2): 109-133 (2021) - [c10]Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang:
TCN: Table Convolutional Network for Web Table Interpretation. WWW 2021: 4020-4032 - [i14]Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang:
TCN: Table Convolutional Network for Web Table Interpretation. CoRR abs/2102.09460 (2021) - [i13]Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M. Carley, Yan Zhang:
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation. CoRR abs/2111.06515 (2021) - 2020
- [b1]Binxuan Huang:
Learning User Latent Attributes on Social Media. Carnegie Mellon University, USA, 2020 - [c9]Binxuan Huang, Han Wang, Tong Wang, Yue Liu, Yang Liu:
Entity Linking for Short Text Using Structured Knowledge Graph via Multi-Grained Text Matching. INTERSPEECH 2020: 4178-4182 - [i12]Binxuan Huang, Kathleen M. Carley:
Discover Your Social Identity from What You Tweet: a Content Based Approach. CoRR abs/2003.01797 (2020) - [i11]Binxuan Huang, Kathleen M. Carley:
Disinformation and Misinformation on Twitter during the Novel Coronavirus Outbreak. CoRR abs/2006.04278 (2020)
2010 – 2019
- 2019
- [j1]Binxuan Huang, Kathleen M. Carley:
Location Order Recovery in Trails with Low Temporal Resolution. IEEE Trans. Netw. Sci. Eng. 6(4): 724-733 (2019) - [c8]Binxuan Huang, Kathleen M. Carley:
A large-scale empirical study of geotagging behavior on Twitter. ASONAM 2019: 365-373 - [c7]Binxuan Huang, Kathleen M. Carley:
A Hierarchical Location Prediction Neural Network for Twitter User Geolocation. EMNLP/IJCNLP (1) 2019: 4731-4741 - [c6]Binxuan Huang, Kathleen M. Carley:
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks. EMNLP/IJCNLP (1) 2019: 5468-5476 - [i10]Binxuan Huang, Kathleen M. Carley:
Inductive Graph Representation Learning with Recurrent Graph Neural Networks. CoRR abs/1904.08035 (2019) - [i9]Tai-Long He, Dylan B. A. Jones, Binxuan Huang, Yuyang Liu, Kazuyuki Miyazaki, Zhe Jiang, E. Charlie White, Helen M. Worden, John R. Worden:
Recurrent U-net: Deep learning to predict daily summertime ozone in the United States. CoRR abs/1908.05841 (2019) - [i8]Binxuan Huang, Kathleen M. Carley:
A Large-Scale Empirical Study of Geotagging Behavior on Twitter. CoRR abs/1908.10948 (2019) - [i7]Binxuan Huang, Kathleen M. Carley:
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks. CoRR abs/1909.02606 (2019) - [i6]Binxuan Huang, Kathleen M. Carley:
Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification. CoRR abs/1909.06276 (2019) - [i5]Binxuan Huang, Kathleen M. Carley:
Location Order Recovery in Trails with Low Temporal Resolution. CoRR abs/1910.01582 (2019) - [i4]Binxuan Huang, Kathleen M. Carley:
A Hierarchical Location Prediction Neural Network for Twitter User Geolocation. CoRR abs/1910.12941 (2019) - 2018
- [c5]Binxuan Huang, Kathleen M. Carley:
Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification. EMNLP 2018: 1091-1096 - [c4]Binxuan Huang, Yanglan Ou, Kathleen M. Carley:
Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks. SBP-BRiMS 2018: 197-206 - [i3]Binxuan Huang, Yanglan Ou, Kathleen M. Carley:
Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks. CoRR abs/1804.06536 (2018) - 2017
- [c3]Felicia Natali, Kathleen M. Carley, Feida Zhu, Binxuan Huang:
The Role of Different Tie Strength in Disseminating Different Topics on a Microblog. ASONAM 2017: 203-207 - [c2]Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M. Carley, Yan Zhang:
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation. CIKM 2017: 2423-2426 - [c1]Binxuan Huang, Kathleen M. Carley:
On Predicting Geolocation of Tweets Using Convolutional Neural Networks. SBP-BRiMS 2017: 281-291 - [i2]Yujie Qian, Jie Tang, Zhilin Yang, Binxuan Huang, Wei Wei, Kathleen M. Carley:
A Probabilistic Framework for Location Inference from Social Media. CoRR abs/1702.07281 (2017) - [i1]Binxuan Huang, Kathleen M. Carley:
On Predicting Geolocation of Tweets using Convolutional Neural Networks. CoRR abs/1704.05146 (2017)
Coauthor Index
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last updated on 2024-10-01 21:38 CEST by the dblp team
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