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Home/Authors/Gang Chen

Gang Chen

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 3:11 AM AMS

19

papers

160

total citations

papers (19)

SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning

NEURIPS 2022arXiv

SPA: A Graph Spectral Alignment Perspective for Domain Adaptation

NEURIPS 2023arXiv

CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition

Targeted Representation Alignment for Open-World Semi-Supervised Learning

ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks

ModelGiF: Gradient Fields for Model Functional Distance

Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling

OmniStereo: Real-time Omnidireactional Depth Estimation with Multiview Fisheye Cameras

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning

Table as a Modality for Large Language Models

NEURIPS 2025arXiv

Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting

NEURIPS 2025arXiv

Unbiased Multi-Label Learning from Crowdsourced Annotations

CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation

Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection

Sampling-Resilient Multi-Object Tracking

Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation

A Separation and Alignment Framework for Black-Box Domain Adaptation

M2Flow: A Motion Information Fusion Framework for Enhanced Unsupervised Optical Flow Estimation in Autonomous Driving

Debiased and Denoised Entity Recognition from Distant Supervision