Jiandong Ding

6 papers · 2021–2026 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird

Venues

AAAI (2) ACL (1) EMNLP (1) NAACL (1) NeurIPS (1)

Top co-authors

Shuigeng Zhou (4) Lu Zhang (3) Yi Xu (3) Jihong Guan (2) Yi Cao (2) Hao Zhang (1) Minyi Zhao (1) Boyu Wang (1) Yi Guan (1) Xiao-ming Wu (1)

Research topics

Machine Learning (6) Natural Language Processing (4) Applications (4) Learning Types · Machine Learning (4) Application Areas (3) Core Methods (3) Deep Learning (2) Artificial Intelligence (1) Architectures (1) Core AI (1) Learning Types · Deep Learning (1) Models (1)

Keywords

text classification (2) contrastive learning (2) data augmentation (2) semi-supervised learning (1) few-shot learning (1) online learning (1) domain adaptation (1) self-supervised learning (1) topic modeling (1) pseudo labeling (1) semantic consistency (1) conditional entropy (1) relative entropy (1) entropy maximization (1) variational autoencoder (1) self-supervised pretraining (1) invariant learning (1) pseudo-label generation (1) counterfactual inference (1) graph convolutional network (1)

Papers

Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation AAAI 2026 Continual Graph Convolutional Network for Text Classification AAAI 2023 Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning ACL 2023 EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification NAACL 2022 DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples NeurIPS 2021 Weakly-supervised Text Classification Based on Keyword Graph EMNLP 2021