The Role of Different Tie Strength in Disseminating Different Topics on a Microblog. - Felicia Natali; Kathleen M. Carley; Feida Zhu 001; Binxuan Huang (ASONAM, 2017)

RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation. - Yu Zhang 044; Wei Wei 019; Binxuan Huang; Kathleen M. Carley; Yan Zhang 004 (CIKM, 2017)

On Predicting Geolocation of Tweets Using Convolutional Neural Networks. - Binxuan Huang; Kathleen M. Carley (SBP-BRiMS, 2017)

A Probabilistic Framework for Location Inference from Social Media. - Yujie Qian; Jie Tang 001; Zhilin Yang 001; Binxuan Huang; Wei Wei 019; Kathleen M. Carley (CoRR, 2017)

Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification. - Binxuan Huang; Kathleen M. Carley (EMNLP, 2018)

Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks. - Binxuan Huang; Yanglan Ou; Kathleen M. Carley (SBP-BRiMS, 2018)

A large-scale empirical study of geotagging behavior on Twitter. - Binxuan Huang; Kathleen M. Carley (ASONAM, 2019)

A Hierarchical Location Prediction Neural Network for Twitter User Geolocation. - Binxuan Huang; Kathleen M. Carley (EMNLP/IJCNLP (1), 2019)

Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks. - Binxuan Huang; Kathleen M. Carley (EMNLP/IJCNLP (1), 2019)

Inductive Graph Representation Learning with Recurrent Graph Neural Networks. - Binxuan Huang; Kathleen M. Carley (CoRR, 2019)

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States. - Tai-Long He; Dylan B. A. Jones; Binxuan Huang; Yuyang Liu; Kazuyuki Miyazaki; Zhe Jiang; E. Charlie White; Helen M. Worden; John R. Worden (CoRR, 2019)

Location Order Recovery in Trails with Low Temporal Resolution. - Binxuan Huang; Kathleen M. Carley (IEEE Trans. Netw. Sci. Eng., 2019)

Entity Linking for Short Text Using Structured Knowledge Graph via Multi-Grained Text Matching. - Binxuan Huang; Han Wang; Tong Wang; Yue Liu; Yang Liu (INTERSPEECH, 2020)

Discover Your Social Identity from What You Tweet: a Content Based Approach. - Binxuan Huang; Kathleen M. Carley (CoRR, 2020)

Disinformation and Misinformation on Twitter during the Novel Coronavirus Outbreak. - Binxuan Huang; Kathleen M. Carley (CoRR, 2020)

Learning User Latent Attributes on Social Media. - Binxuan Huang (2020)

TCN: Table Convolutional Network for Web Table Interpretation. - Daheng Wang; Prashant Shiralkar; Colin Lockard; Binxuan Huang; Xin Luna Dong; Meng Jiang 001 (WWW, 2021)

An anatomical comparison of fake-news and trusted-news sharing pattern on Twitter. - Sumeet Kumar; Binxuan Huang; Ramon Alfonso Villa Cox; Kathleen M. Carley (Comput. Math. Organ. Theory, 2021)

DOM-LM: Learning Generalizable Representations for HTML Documents. - Xiang Deng 001; Prashant Shiralkar; Colin Lockard; Binxuan Huang; Huan Sun 001 (CoRR, 2022)

Label-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents. - Ritesh Sarkhel; Binxuan Huang; Colin Lockard; Prashant Shiralkar (CoRR, 2022)

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. - Zijie Huang 002; Daheng Wang; Binxuan Huang; Chenwei Zhang; Jingbo Shang; Yan Liang 004; Zhengyang Wang; Xian Li; Christos Faloutsos; Yizhou Sun; Wei Wang 010 (ACL (Findings), 2023)

Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. - Kewei Cheng; Xian Li; Zhengyang Wang; Chenwei Zhang; Binxuan Huang; Yifan Ethan Xu; Xin Luna Dong; Yizhou Sun (ACL (industry), 2023)

Self-Training for Label-Efficient Information Extraction from Semi-Structured Web-Pages. - Ritesh Sarkhel; Binxuan Huang; Colin Lockard; Prashant Shiralkar (Proc. VLDB Endow., 2023)

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs. - Kewei Cheng; Jingfeng Yang 001; Haoming Jiang; Zhengyang Wang; Binxuan Huang; Ruirui Li 002; Shiyang Li; Zheng Li 018; Yifan Gao 001; Xian Li; Bing Yin; Yizhou Sun (CoRR, 2024)

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. - Yuchen Zhuang; Jingfeng Yang 001; Haoming Jiang; Xin Liu 039; Kewei Cheng; Sanket Lokegaonkar; Yifan Gao 001; Qing Ping; Tianyi Liu; Binxuan Huang; Zheng Li 018; Zhengyang Wang; et al. (NAACL (Long Papers), 2025)

Scaling Laws for Predicting Downstream Performance in LLMs. - Yangyi Chen; Binxuan Huang; Yifan Gao 001; Zhengyang Wang; Jingfeng Yang 001; Heng Ji 001 (Trans. Mach. Learn. Res., 2025)

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities. - Jingfeng Yang 001; Hamed Bonab; Nasser Zalmout; Ming Zeng 001; Sanket Lokegaonkar; Colin Lockard; Binxuan Huang; Ritesh Sarkhel; Haodong Wang (CoRR, 2025)