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Kun Kuang

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 14, 2026, 11:22 PM AMS

27

papers

331

total citations

papers (27)

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks

Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception

NEURIPS 2023arXiv

Universal Domain Adaptation via Compressive Attention Matching

Learning to Reweight for Generalizable Graph Neural Network

Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards

MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation

Distributionally Generative Augmentation for Fair Facial Attribute Classification

De-biased Attention Supervision for Text Classification with Causality

FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning

ConfounderGAN: Protecting Image Data Privacy with Causal Confounder

NEURIPS 2022arXiv

MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities

AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation

Arrow: Accelerator for Time Series Causal Discovery with Time Weaving

Decoding Correlation-Induced Misalignment in the Stable Diffusion Workflow for Text-to-Image Generation

Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration

Learning Causal Transition Matrix for Instance-dependent Label Noise

Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias

MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters

Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning

CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation

GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy

A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective

Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias

Learning Causal Relations from Subsampled Time Series with Two Time-Slices

Semi-Supervised Active Learning for Semi-Supervised Models: Exploit Adversarial Examples With Graph-Based Virtual Labels