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Publications

Extracting Semantic Topics about Development in Africa from Social Media.

CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance.

UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection.

Epidemiological Data Mining for Assisting with Foodborne Outbreak Investigation.

FATA-Trans: Field and Time-Aware Transformer for Sequential Tabular Data.

A Novel Foodborne Illness Detection and Web Application Tool Based on Social Media.

TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks.

Human-like Explanation for Text Classification with Limited Attention Supervision.

Crowdsourcing and machine learning approaches for extracting entities indicating potential foodborne outbreaks from social media.

Time-Aware Transformer-based Network for Clinical Notes Series Prediction.

国有林场购买社会服务的意愿及其影响因素的实证分析 (An Empirical Analysis on the Willingness to Purchase Social Services and Its Influencing Factors in State - owned Forest Farms).

众筹在林业领域的应用前景探讨 (The discussion on the application prospect of crowdfunding in the realm of forestry).