Kun Kuang
Orcid: 0000-0001-7024-9790
According to our database1,
Kun Kuang
authored at least 191 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Unleash the Power of Inconsistency-Based Semi-Supervised Active Learning by Dynamic Programming of Curriculum Learning.
IEEE Trans. Knowl. Data Eng., November, 2024
ACM Trans. Knowl. Discov. Data, September, 2024
LK-IB: a hybrid framework with legal knowledge injection for compulsory measure prediction.
Artif. Intell. Law, September, 2024
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation.
ACM Trans. Inf. Syst., July, 2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
IEEE Trans. Knowl. Data Eng., April, 2024
ACM Trans. Inf. Syst., March, 2024
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems.
IEEE Trans. Knowl. Data Eng., February, 2024
Simulating doctors' thinking logic for chest X-ray report generation via Transformer-based Semantic Query learning.
Medical Image Anal., January, 2024
Causality-Guided Stepwise Intervention and Reweighting for Remote Sensing Image Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2024
Unlocking authentic judicial reasoning: A Template-Based Legal Information Generation framework for judicial views.
Knowl. Based Syst., 2024
Comput. Vis. Image Underst., 2024
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression.
CoRR, 2024
CoRR, 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs.
CoRR, 2024
CoRR, 2024
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling.
CoRR, 2024
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects.
CoRR, 2024
Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence.
CoRR, 2024
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization.
IEEE Trans. Knowl. Data Eng., December, 2023
IEEE Trans. Knowl. Data Eng., November, 2023
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.
Frontiers Inf. Technol. Electron. Eng., October, 2023
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
Frontiers Inf. Technol. Electron. Eng., August, 2023
IEEE Trans. Knowl. Data Eng., July, 2023
IEEE Trans. Knowl. Data Eng., June, 2023
IEEE Trans. Knowl. Data Eng., May, 2023
ACM Trans. Knowl. Discov. Data, 2023
Int. J. Comput. Vis., 2023
Data Min. Knowl. Discov., 2023
MEDOE: A Multi-Expert Decoder and Output Ensemble Framework for Long-tailed Semantic Segmentation.
CoRR, 2023
Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series.
CoRR, 2023
Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance.
CoRR, 2023
IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System.
CoRR, 2023
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling.
Proceedings of the ACM Web Conference 2023, 2023
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
CLAP: Contrastive Language-Audio Pre-training Model for Multi-modal Sentiment Analysis.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023
End-to-End Optimization of Quantization-Based Structure Learning and Interventional Next-Item Recommendation.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition.
ACM Trans. Knowl. Discov. Data, 2022
ACM Trans. Knowl. Discov. Data, 2022
Frontiers Inf. Technol. Electron. Eng., 2022
CoRR, 2022
CoRR, 2022
Exploiting Contrastive Learning and Numerical Evidence for Improving Confusing Legal Judgment Prediction.
CoRR, 2022
CoRR, 2022
MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization.
CoRR, 2022
CoRR, 2022
Artif. Intell. Medicine, 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Disentangled Sequential Autoencoder with Local Consistency for Infectious Keratitis Diagnosis.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
Connecting Patients with Pre-diagnosis: A Multiple Graph Regularized Method for Mental Disorder Diagnosis.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Data Min. Knowl. Discov., 2021
CoRR, 2021
CoRR, 2021
Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization.
CoRR, 2021
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
ACM Trans. Knowl. Discov. Data, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Concept-based Explanation for Fine-grained Images and Its Application in Infectious Keratitis Classification.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019
2018
IEEE Trans. Big Data, 2018
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016