Kun Kuang

According to our database1, Kun Kuang authored at least 139 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SLED: Structure Learning based Denoising for Recommendation.
ACM Trans. Inf. Syst., March, 2024

Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems.
IEEE Trans. Knowl. Data Eng., February, 2024

Unified fair federated learning for digital healthcare.
Patterns, January, 2024

Simulating doctors' thinking logic for chest X-ray report generation via Transformer-based Semantic Query learning.
Medical Image Anal., January, 2024

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.
CoRR, 2024

Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence.
CoRR, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.
CoRR, 2024

Leveraging Print Debugging to Improve Code Generation in Large Language Models.
CoRR, 2024

2023
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization.
IEEE Trans. Knowl. Data Eng., December, 2023

Distributionally Robust Learning With Stable Adversarial Training.
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

Personalized Latent Structure Learning for Recommendation.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Federated unsupervised representation learning.
Frontiers Inf. Technol. Electron. Eng., August, 2023

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI.
IEEE Trans. Knowl. Data Eng., July, 2023

Stable Prediction With Leveraging Seed Variable.
IEEE Trans. Knowl. Data Eng., June, 2023

Learning Decomposed Representations for Treatment Effect Estimation.
IEEE Trans. Knowl. Data Eng., May, 2023

Instrumental Variable-Driven Domain Generalization with Unobserved Confounders.
ACM Trans. Knowl. Discov. Data, 2023

Domain-Specific Bias Filtering for Single Labeled Domain Generalization.
Int. J. Comput. Vis., 2023

Differentiated matching for individual and average treatment effect estimation.
Data Min. Knowl. Discov., 2023

Learning to Reweight for Graph Neural Network.
CoRR, 2023

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception.
CoRR, 2023

A Chinese Prompt Attack Dataset for LLMs with Evil Content.
CoRR, 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

Universal Domain Adaptation via Compressive Attention Matching.
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

ML-LJP: Multi-Law Aware Legal Judgment Prediction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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

Generalized Universal Domain Adaptation with Generative Flow Networks.
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

Stable Prediction on Graphs with Agnostic Distribution Shifts.
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision.
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

Treatment Effect Estimation with Adjustment Feature Selection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Stable Estimation of Heterogeneous Treatment Effects.
Proceedings of the International Conference on Machine Learning, 2023

Causal Structure Learning for Latent Intervened Non-stationary Data.
Proceedings of the International Conference on Machine Learning, 2023

Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Universal Domain Adaptation via Compressive Attention Matching.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

FairDR: Ensuring Fairness in Mixed Data of Fairly and Unfairly Treated Instances.
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

Causal Inspired Trustworthy Machine Learning.
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

Focus-aware Response Generation in Inquiry Conversation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Chemical Rules of Retrosynthesis with Pre-training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Data-Driven Variable Decomposition for Treatment Effect Estimation.
IEEE Trans. Knowl. Data Eng., 2022

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition.
ACM Trans. Knowl. Discov. Data, 2022

Balance-Subsampled Stable Prediction Across Unknown Test Data.
ACM Trans. Knowl. Discov. Data, 2022

A full-process intelligent trial system for smart court.
Frontiers Inf. Technol. Electron. Eng., 2022

Instrumental Variables in Causal Inference and Machine Learning: A Survey.
CoRR, 2022

Confounder Balancing for Instrumental Variable Regression with Latent Variable.
CoRR, 2022

Exploiting Contrastive Learning and Numerical Evidence for Improving Confusing Legal Judgment Prediction.
CoRR, 2022

Learning Individual Treatment Effects under Heterogeneous Interference in Networks.
CoRR, 2022

Domain Generalization via Contrastive Causal Learning.
CoRR, 2022

MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization.
CoRR, 2022

Treatment Effect Estimation with Unmeasured Confounders in Data Fusion.
CoRR, 2022

Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling.
CoRR, 2022

Debiased Graph Neural Networks with Agnostic Label Selection Bias.
CoRR, 2022

Attribute-aware interpretation learning for thyroid ultrasound diagnosis.
Artif. Intell. Medicine, 2022

Uncovering Causal Effects of Online Short Videos on Consumer Behaviors.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ConfounderGAN: Protecting Image Data Privacy with Causal Confounder.
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

TranSQ: Transformer-Based Semantic Query for Medical Report Generation.
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

Estimating Individualized Causal Effect with Confounded Instruments.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Instrumental Variable Regression with Confounder Balancing.
Proceedings of the International Conference on Machine Learning, 2022

Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022

The Role of Deconfounding in Meta-learning.
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

BA-GNN: On Learning Bias-Aware Graph Neural Network.
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

Similar Case Based Prison Term Prediction.
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

Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Dependency Parsing as MRC-based Span-Span Prediction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Continuous treatment effect estimation via generative adversarial de-confounding.
Data Min. Knowl. Discov., 2021

Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth.
CoRR, 2021

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey.
CoRR, 2021

Unified Group Fairness on Federated Learning.
CoRR, 2021

Dialogue Inspectional Summarization with Factual Inconsistency Awareness.
CoRR, 2021

Do We Need to Directly Access the Source Datasets for Domain Generalization?
CoRR, 2021

Stable Prediction on Graphs with Agnostic Distribution Shift.
CoRR, 2021

Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization.
CoRR, 2021

BertGCN: Transductive Text Classification by Combining GCN and BERT.
CoRR, 2021

MGD-GAN: Text-to-Pedestrian Generation Through Multi-grained Discrimination.
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

Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Analysis and Applications of Class-wise Robustness in Adversarial Training.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Explainable Automated Graph Representation Learning with Hyperparameter Importance.
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

DeVLBert: Out-of-Distribution Visio-Linguistic Pretraining With Causality.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Grounded, Controllable and Debiased Image Completion With Lexical Semantics.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Estimating Treatment Effect via Differentiated Confounder Matching.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

BertGCN: Transductive Text Classification by Combining GNN and BERT.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Stable Adversarial Learning under Distributional Shifts.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Judgment Prediction via Injecting Legal Knowledge into Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Treatment Effect Estimation via Differentiated Confounder Balancing and Regression.
ACM Trans. Knowl. Discov. Data, 2020

Interventional Domain Adaptation.
CoRR, 2020

Federated Unsupervised Representation Learning.
CoRR, 2020

Learning Decomposed Representation for Counterfactual Inference.
CoRR, 2020

Stable Prediction via Leveraging Seed Variable.
CoRR, 2020

Invariant Adversarial Learning for Distributional Robustness.
CoRR, 2020

Balance-Subsampled Stable Prediction.
CoRR, 2020

Machine knowledge and human cognition.
Big Data Min. Anal., 2020

Poet: Product-oriented Video Captioner for E-commerce.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

DeVLBert: Learning Deconfounded Visio-Linguistic Representations.
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

Comprehensive Information Integration Modeling Framework for Video Titling.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Algorithmic Decision Making with Conditional Fairness.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Decorrelated Clustering with Data Selection Bias.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

De-Biased Court's View Generation with Causality.
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

IB-M: A Flexible Framework to Align an Interpretable Model and a Black-box Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Stable Learning via Sample Reweighting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Stable Prediction with Model Misspecification and Agnostic Distribution Shift.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Focused Context Balancing for Robust Offline Policy Evaluation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Disentangled Graph Convolutional Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

Causation-Driven Visualizations for Insurance Recommendation.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

2018
Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach.
IEEE Trans. Big Data, 2018

Causally Regularized Learning with Agnostic Data Selection Bias.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Stable Prediction across Unknown Environments.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
On Image Classification: Correlation v.s. Causality.
CoRR, 2017

Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Treatment Effect Estimation with Data-Driven Variable Decomposition.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Steering Social Media Promotions with Effective Strategies.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016


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