Binxuan Huang

Orcid: 0000-0003-3571-5738

According to our database1, Binxuan Huang authored at least 25 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Scaling Laws for Predicting Downstream Performance in LLMs.
CoRR, 2024

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.
CoRR, 2024

2023
Self-Training for Label-Efficient Information Extraction from Semi-Structured Web-Pages.
Proc. VLDB Endow., 2023

Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Label-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents.
CoRR, 2022

DOM-LM: Learning Generalizable Representations for HTML Documents.
CoRR, 2022

2021
An anatomical comparison of fake-news and trusted-news sharing pattern on Twitter.
Comput. Math. Organ. Theory, 2021

TCN: Table Convolutional Network for Web Table Interpretation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

2020
Learning User Latent Attributes on Social Media.
PhD thesis, 2020

Disinformation and Misinformation on Twitter during the Novel Coronavirus Outbreak.
CoRR, 2020

Discover Your Social Identity from What You Tweet: a Content Based Approach.
CoRR, 2020

Entity Linking for Short Text Using Structured Knowledge Graph via Multi-Grained Text Matching.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019
Location Order Recovery in Trails with Low Temporal Resolution.
IEEE Trans. Netw. Sci. Eng., 2019

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States.
CoRR, 2019

Inductive Graph Representation Learning with Recurrent Graph Neural Networks.
CoRR, 2019

Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Hierarchical Location Prediction Neural Network for Twitter User Geolocation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A large-scale empirical study of geotagging behavior on Twitter.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
A Probabilistic Framework for Location Inference from Social Media.
CoRR, 2017

On Predicting Geolocation of Tweets Using Convolutional Neural Networks.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

The Role of Different Tie Strength in Disseminating Different Topics on a Microblog.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017


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