Dongliang Chen

4 papers · 2023–2026 · 4 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 · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird

Venues

AAAI (1) CVPR (1) IJCAI (1) NeurIPS (1)

Top co-authors

Yanwei Yu (2) Junyu Dong (1) Qianli Ma (1) Weiyang Liu (1) Xingyu Zhao (1) Yuan Cao (1) Lei Cao (1) Ziyun Zou (1) Han Yan (1) Yifan Lu (1)

Research topics

Machine Learning (3) Core Methods (3) Deep Learning (2) Learning Types · Deep Learning (2) Learning Types · Machine Learning (2) Artificial Intelligence (1) Data Science & Analytics (1) Learning Paradigms (1) Methods (1) Models (1)

Keywords

representation learning (1) transfer learning (1) domain adaptation (1) label propagation (1) dynamic graph learning (1) noisy label learning (1) self-supervised learning (1) time series classification (1) deep neural network (1) data selection (1) image-text pair (1) influence function (1) trajectory representation (1) noisy label (1) continual pre-training (1) multivariate time series forecasting (1) label correction (1) graph neural network (1) multi-scale training (1) curvature estimation (1)

Papers

CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection CVPR 2026 Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning AAAI 2026 DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting IJCAI 2025 Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels NeurIPS 2023