Kun Kuang

About Kun Kuang

Kun Kuang, With an exceptional h-index of 25 and a recent h-index of 25 (since 2020), a distinguished researcher at Zhejiang University, specializes in the field of Causal Inference, Data Mining, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

PTiBK H h2 iK2Mi _2; BK2b G2MBM; 7 _2+ QKK2M/iBQM

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

Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data

De-biased Attention Supervision for Text Classification with Causality

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

Learning to Reweight for Generalizable Graph Neural Network

CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation

Contrastive balancing representation learning for heterogeneous dose-response curves estimation

Kun Kuang Information

University

Position

___

Citations(all)

2416

Citations(since 2020)

2395

Cited By

243

hIndex(all)

25

hIndex(since 2020)

25

i10Index(all)

52

i10Index(since 2020)

52

Email

University Profile Page

Google Scholar

Kun Kuang Skills & Research Interests

Causal Inference

Data Mining

Machine Learning

Top articles of Kun Kuang

PTiBK H h2 iK2Mi _2; BK2b G2MBM; 7 _2+ QKK2M/iBQM

2024/4/25

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

arXiv preprint arXiv:2404.13322

2024/4/20

Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data

2024/4/14

De-biased Attention Supervision for Text Classification with Causality

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

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

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Learning to Reweight for Generalizable Graph Neural Network

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Contrastive balancing representation learning for heterogeneous dose-response curves estimation

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Discovering Invariant Neighborhood Patterns for Heterophilic Graphs

arXiv preprint arXiv:2403.10572

2024/3/15

Distributionally Generative Augmentation for Fair Facial Attribute Classification

Computer Vision and Pattern Recognition (CVPR), 2024

2024/6

Evolving Knowledge Distillation with Large Language Models and Active Learning

arXiv preprint arXiv:2403.06414

2024/3/11

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

From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction

arXiv preprint arXiv:2403.04369

2024/3/7

Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects

arXiv preprint arXiv:2403.02624

2024/3/5

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

arXiv preprint arXiv:2402.12048

2024/2/19

ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation

arXiv preprint arXiv:2402.12408

2024/2/18

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild

arXiv preprint arXiv:2402.09997

2024/2/15

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

Neural Information Processing Systems (NeurIPS), 2023

2023/12

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

Advances in Neural Information Processing Systems

2024/2/13

Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence

arXiv preprint arXiv:2401.08695

2024/1/14

See List of Professors in Kun Kuang University(Zhejiang University)

Co-Authors

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