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Author

Kun Kuang

Observed names: K. Kuang, Kuang Kun, Kuang, Kun
Institution: Zhejiang University
Observed institutions: Southwest Petroleum University, National University of Singapore, Zhejiang University of Science and Technology, Peking University, Shanghai Advanced Research Institute, Artificial Intelligence Research Institute, Communication University of Zhejiang, Artificial Intelligence in Medicine (Canada), PetroChina Southwest Oil and Gas Field Company (China), Shanghai Artificial Intelligence Laboratory, PetroChina Xinjiang Oilfield Company (China), Zhejiang University of Technology, Zhejiang University, The University of Texas at Austin, Stanford University, Tsinghua University
ORCID: 0000-0001-7024-9790
Observed ORCIDs: 0000-0001-7024-9790, 0009-0000-7528-8131, 0000-0001-5524-5185
OpenAlex ID: A5041727387
BertGCN: Transductive Text Classification by Combining GNN and BERT
2021 · Yuxiao Lin, Yuxian Meng, et al. · 214
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Stable Prediction across Unknown Environments
2018 · Kun Kuang, Peng Cui, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 159
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Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
2022 · Jiangchao Yao, Shengyu Zhang, et al. · IEEE Transactions on Knowledge and Data Engineering · 154
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Causal Inference
2020 · Kun Kuang, Lian Li, et al. · Engineering · 126
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Federated unsupervised representation learning
2023 · Fengda Zhang, Kun Kuang, et al. · Frontiers of Information Technology & Electronic Engineering · 119
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Disentangled Graph Convolutional Networks
2019 · Jianxin Ma, Peng Cui, et al. · International Conference on Machine Learning · 119
Stable Prediction with Model Misspecification and Agnostic Distribution Shift
2020 · Kun Kuang, Ruoxuan Xiong, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 115
Artificial Intelligence for Retrosynthesis Prediction
2022 · Yinjie Jiang, Yemin Yu, et al. · Engineering · 92
Causally Regularized Learning with Agnostic Data Selection Bias
2018 · Zheyan Shen, Peng Cui, et al. · ACM International Conference on Multimedia (ACM MM) · 88
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De-Biased Court’s View Generation with Causality
2020 · Yiquan Wu, Kun Kuang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 72
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Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing
2017 · Kun Kuang, Peng Cui, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 68
Judgment Prediction via Injecting Legal Knowledge into Neural Networks
2021 · Leilei Gan, Kun Kuang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 58
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
2021 · Jiahui Li, Kun Kuang, et al. · 55
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Debiased Graph Neural Networks With Agnostic Label Selection Bias
2022 · Shaohua Fan, Xiao Wang, et al. · IEEE Transactions on Neural Networks and Learning Systems · 50
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Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration
2023 · Yiquan Wu, Siying Zhou, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 49
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BertGCN: Transductive Text Classification by Combining GCN and BERT
2021 · Lin, Yuxiao, Meng, Yuxian, et al. · arXiv (Cornell University) · 49
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Unified fair federated learning for digital healthcare
2023 · Fengda Zhang, Zitao Shuai, et al. · Patterns · 46
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Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives
2023 · Tao Shen, Jie Zhang, et al. · Frontiers of Information Technology & Electronic Engineering · 46
Treatment Effect Estimation with Data-Driven Variable Decomposition
2017 · Kun Kuang, Peng Cui, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 46
Data-Driven Learning for Data Rights, Data Pricing, and Privacy Computing
2023 · Jimin Xu, Nuanxin Hong, et al. · Engineering · 43
Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels
2021 · Jiannan Guo, Haochen Shi, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 42
Knowledge-Empowered, Collaborative, and Co-Evolving AI Models: The Post-LLM Roadmap
2024 · Fei Wu, Fei Wu, et al. · Engineering · 41
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
2023 · Zheqi Lv, Wenqiao Zhang, et al. · ACM Web Conference (WWW) · 41
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Learning Decomposed Representations for Treatment Effect Estimation
2022 · Anpeng Wu, Junkun Yuan, et al. · IEEE Transactions on Knowledge and Data Engineering · 38
Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework
2022 · Yiquan Wu, Yifei Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 35
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Works count: 254
Citation count: 3,192
H-index: 30
I10-index: 67
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