Kun Kuang

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 212

Top Venues

CoRR

KDD

AAAI

IEEE Trans. Knowl. Data Eng.

Publications

Yingrong Wang, Haoxuan Li, Minqin Zhu, Anpeng Wu, Ruoxuan Xiong, Fei Wu, Kun Kuang
Causal Inference with Complex Treatments: A Survey. CoRR (2024)
Zheqi Lv, Wenqiao Zhang, Zhengyu Chen, Shengyu Zhang, Kun Kuang
Intelligent Model Update Strategy for Sequential Recommendation. WWW (2024)
Ang Li, Yiquan Wu, Yifei Liu, Kun Kuang, Fei Wu, Ming Cai
Enhancing Court View Generation with Knowledge Injection and Guidance. LREC/COLING (2024)
Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. ACL (Findings) (2024)
Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Kun Kuang, Chao Wu
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. CoRR (2024)
Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui
Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. KDD (2024)
Yingrong Wang, Anpeng Wu, Haoxuan Li, Weiming Liu, Qiaowei Miao, Ruoxuan Xiong, Fei Wu, Kun Kuang
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects. CoRR (2024)
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. AAAI (2024)
Yuling Zhang, Anpeng Wu, Kun Kuang, Liang Du, Zixun Sun, Zhi Wang
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations. ICDE (2024)
Chengyuan Liu, Fubang Zhao, Kun Kuang, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Fei Wu
Evolving Knowledge Distillation with Large Language Models and Active Learning. LREC/COLING (2024)
Haotian Wang, Kun Kuang, Long Lan, Zige Wang, Wanrong Huang, Fei Wu, Wenjing Yang
Out-of-Distribution Generalization With Causal Feature Separation. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Qiaowei Miao, Junkun Yuan, Shengyu Zhang, Fei Wu, Kun Kuang
Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data. ICASSP (2024)
Danyang Gao, Ming Kong, Yongrui Zhao, Jing Huang, Zhengxing Huang, Kun Kuang, Fei Wu, Qiang Zhu
Simulating doctors' thinking logic for chest X-ray report generation via Transformer-based Semantic Query learning. Medical Image Anal. 91 (2024)
Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang
Distributionally Generative Augmentation for Fair Facial Attribute Classification. CoRR (2024)
Chengyuan Liu, Shihang Wang, Yangyang Kang, Lizhi Qing, Fubang Zhao, Changlong Sun, Kun Kuang, Fei Wu
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs. CoRR (2024)
Ang Li, Qiangchao Chen, Yiquan Wu, Ming Cai, Xiang Zhou, Fei Wu, Kun Kuang
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction. CoRR (2024)
Junao Shen, Kun Kuang, Jiaheng Wang, Xinyu Wang, Tian Feng, Wei Zhang
CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation. AAAI (2024)
Ang Li, Qiangchao Chen, Yiquan Wu, Xiang Zhou, Kun Kuang, Fei Wu, Ming Cai
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction. LREC/COLING (2024)
Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. CoRR (2024)
Ziyu Zhao, Leilei Gan, Tao Shen, Kun Kuang, Fei Wu
Deconfounded hierarchical multi-granularity classification. Comput. Vis. Image Underst. 248 (2024)
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. CoRR (2024)
Ruihao Zhang, Zhengyu Chen, Teng Xiao, Yueyang Wang, Kun Kuang
Discovering Invariant Neighborhood Patterns for Heterophilic Graphs. CoRR (2024)
Anlai Zhou, Sunshine Jiang, Yifei Liu, Yiquan Wu, Kun Kuang, Jun Xiao
Latent Learningscape Guided In-context Learning. ACL (Findings) (2024)
Xueyu Hu, Kun Kuang, Jiankai Sun, Hongxia Yang, Fei Wu
Leveraging Print Debugging to Improve Code Generation in Large Language Models. CoRR (2024)
Yiquan Wu, Bo Tang, Chenyang Xi, Yu Yu, Pengyu Wang, Yifei Liu, Kun Kuang, Haiying Deng, Zhiyu Li, Feiyu Xiong, Jie Hu, Peng Cheng, Zhonghao Wang, Yi Wang, Yi Luo, Mingchuan Yang
Xinyu: An Efficient LLM-based System for Commentary Generation. KDD (2024)
Yuling Zhang, Anpeng Wu, Kun Kuang, Liang Du, Zixun Sun, Zhi Wang
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations. CoRR (2024)
Zihao Tang, Zheqi Lv, Shengyu Zhang, Fei Wu, Kun Kuang
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation. CoRR (2024)
Shuting Shi, Baohong Li, Laifu Zhang, Kun Kuang, Sensen Wu, Tian Feng, Yiming Yan, Zhenhong Du
Causality-Guided Stepwise Intervention and Reweighting for Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Yiquan Wu, Anlai Zhou, Yuhang Liu, Yifei Liu, Adam Jatowt, Weiming Lu, Jun Xiao, Kun Kuang
Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning. ACL (Findings) (2024)
Chengyuan Liu, Yangyang Kang, Fubang Zhao, Kun Kuang, Zhuoren Jiang, Changlong Sun, Fei Wu
Evolving Knowledge Distillation with Large Language Models and Active Learning. CoRR (2024)
Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. CoRR (2024)
Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation. CoRR (2024)
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
Debiased Graph Neural Networks With Agnostic Label Selection Bias. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Xiang Zhou, Yudong Wu, Ang Li, Ming Cai, Yiquan Wu, Kun Kuang
Unlocking authentic judicial reasoning: A Template-Based Legal Information Generation framework for judicial views. Knowl. Based Syst. 301 (2024)
Zhengqing Fang, Shuowen Zhou, Zhouhang Yuan, Yuxuan Si, Mengze Li, Jinxu Li, Yesheng Xu, Wenjia Xie, Kun Kuang, Yingming Li, Fei Wu, Yu-Feng Yao
Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence. CoRR (2024)
Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, Hongxia Yang, Kun Kuang, Fei Wu
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning. CoRR (2024)
Shengyu Zhang, Tan Jiang, Kun Kuang, Fuli Feng, Jin Yu, Jianxin Ma, Zhou Zhao, Jianke Zhu, Hongxia Yang, Tat-Seng Chua, Fei Wu
SLED: Structure Learning based Denoising for Recommendation. ACM Trans. Inf. Syst. 42 (2) (2024)
Kexin Li, Chengjiang Long, Shengyu Zhang, Xudong Tang, Zhichao Zhai, Kun Kuang, Jun Xiao
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation. AAAI (2024)
Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu
Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. KDD (2024)
Ang Li, Yiquan Wu, Yifei Liu, Fei Wu, Ming Cai, Kun Kuang
Enhancing Court View Generation with Knowledge Injection and Guidance. CoRR (2024)
Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. ICLR (2024)
Shengyu Zhang, Qiaowei Miao, Ping Nie, Mengze Li, Zhengyu Chen, Fuli Feng, Kun Kuang, Fei Wu
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation. ACM Trans. Inf. Syst. 42 (4) (2024)
Yiquan Wu, Yifei Liu, Ziyu Zhao, Weiming Lu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang
De-biased Attention Supervision for Text Classification with Causality. AAAI (2024)
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
Learning to Reweight for Generalizable Graph Neural Network. AAAI (2024)
Xiang Zhou, Qi Liu, Yiquan Wu, Qiangchao Chen, Kun Kuang
LK-IB: a hybrid framework with legal knowledge injection for compulsory measure prediction. Artif. Intell. Law 32 (3) (2024)
Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation. ICLR (2024)
Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, Kun Kuang, Xin Ning, Gabriele Tolomei
Debiasing Machine Unlearning with Counterfactual Examples. CoRR (2024)
Fengda Zhang, Zitao Shuai, Kun Kuang, Fei Wu, Yueting Zhuang, Jun Xiao
Unified fair federated learning for digital healthcare. Patterns 5 (1) (2024)
Kunxi Li, Tianyu Zhan, Shengyu Zhang, Kun Kuang, Jiwei Li, Zhou Zhao, Fei Wu
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities. CoRR (2024)
Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. CoRR (2024)
Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. CoRR (2024)
Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. CoRR (2024)
Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. ACM Trans. Knowl. Discov. Data 17 (8) (2023)
Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. AAMAS (2023)
Chengyuan Liu, Fubang Zhao, Yangyang Kang, Jingyuan Zhang, Xiang Zhou, Changlong Sun, Kun Kuang, Fei Wu
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction. EMNLP (Findings) (2023)
Leilei Gan, Baokui Li, Kun Kuang, Yating Zhang, Lei Wang, Anh Luu, Yi Yang, Fei Wu
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction. EMNLP (Findings) (2023)
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
Distributionally Robust Learning With Stable Adversarial Training. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Zheqi Lv, Feng Wang, Shengyu Zhang, Wenqiao Zhang, Kun Kuang, Fei Wu
Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation. CICAI (1) (2023)
Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. WWW (2023)
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
Learning to Reweight for Graph Neural Network. CoRR (2023)
Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters. ICCV (2023)
Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia (2023)
Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu
Universal Domain Adaptation via Compressive Attention Matching. ICCV (2023)
Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang, Zhihua Wang
Learning Chemical Rules of Retrosynthesis with Pre-training. AAAI (2023)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. AAAI (2023)
Zheqi Lv, Zhengyu Chen, Shengyu Zhang, Kun Kuang, Wenqiao Zhang, Mengze Li, Beng Chin Ooi, Fei Wu
IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System. CoRR (2023)
Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu
Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series. CoRR (2023)
Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu
Universal Domain Adaptation via Compressive Attention Matching. CoRR (2023)
Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. WWW (2023)
Tianqi Zhao, Ming Kong, Tian Liang, Qiang Zhu, Kun Kuang, Fei Wu
CLAP: Contrastive Language-Audio Pre-training Model for Multi-modal Sentiment Analysis. ICMR (2023)
Fengda Zhang, Kun Kuang, Long Chen, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Fei Wu, Yueting Zhuang, Xiaolin Li
Federated unsupervised representation learning. Frontiers Inf. Technol. Electron. Eng. 24 (8) (2023)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu
Stable Estimation of Heterogeneous Treatment Effects. ICML (2023)
Junkun Yuan, Xu Ma, Defang Chen, Fei Wu, Lanfen Lin, Kun Kuang
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Shengyu Zhang, Fuli Feng, Kun Kuang, Wenqiao Zhang, Zhou Zhao, Hongxia Yang, Tat-Seng Chua, Fei Wu
Personalized Latent Structure Learning for Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Yiquan Wu, Weiming Lu, Yating Zhang, Adam Jatowt, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang
Focus-aware Response Generation in Inquiry Conversation. ACL (Findings) (2023)
Jiahui Li, Kun Kuang, Baoxiang Wang, Xingchen Li, Fei Wu, Jun Xiao, Long Chen
Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning. NeurIPS (2023)
Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. KDD (2023)
Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang
Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. CoRR (2023)
Kairui Fu, Qiaowei Miao, Shengyu Zhang, Kun Kuang, Fei Wu
End-to-End Optimization of Quantization-Based Structure Learning and Interventional Next-Item Recommendation. CICAI (1) (2023)
Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
Generalized Universal Domain Adaptation with Generative Flow Networks. CoRR (2023)
Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. CDPD (2023)
Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning. AAAI (2023)
Chenxi Liu, Kun Kuang
Causal Structure Learning for Latent Intervened Non-stationary Data. ICML (2023)
Yifei Liu, Yiquan Wu, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang
ML-LJP: Multi-Law Aware Legal Judgment Prediction. SIGIR (2023)
Chengyuan Liu, Fubang Zhao, Lizhi Qing, Yangyang Kang, Changlong Sun, Kun Kuang, Fei Wu
A Chinese Prompt Attack Dataset for LLMs with Evil Content. CoRR (2023)
Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Kun Kuang
Causal Inspired Trustworthy Machine Learning. ACM TUR-C (2023)
Yuxuan Liu, Kun Kuang, Fengda Zhang, Fei Wu
FairDR: Ensuring Fairness in Mixed Data of Fairly and Unfairly Treated Instances. CICAI (2) (2023)
Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. NeurIPS (2023)
Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li
Stable Prediction With Leveraging Seed Variable. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Chengyuan Liu, Fubang Zhao, Yangyang Kang, Jingyuan Zhang, Xiang Zhou, Changlong Sun, Fei Wu, Kun Kuang
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction. CoRR (2023)
Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang
Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. EMNLP (2023)
Fengda Zhang, Kun Kuang, Long Chen, Yuxuan Liu, Chao Wu, Jun Xiao
Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes. ICLR (2023)
Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui
Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation. KDD (2023)
Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. CoRR (2023)
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
Domain-Specific Bias Filtering for Single Labeled Domain Generalization. Int. J. Comput. Vis. 131 (2) (2023)
Junao Shen, Long Chen, Kun Kuang, Fei Wu, Tian Feng, Wei Zhang
MEDOE: A Multi-Expert Decoder and Output Ensemble Framework for Long-tailed Semantic Segmentation. CoRR (2023)
Shengyu Zhang, Yunze Tong, Kun Kuang, Fuli Feng, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu
Stable Prediction on Graphs with Agnostic Distribution Shifts. CDPD (2023)
Anpeng Wu, Junkun Yuan, Kun Kuang, Bo Li, Runze Wu, Qiang Zhu, Yueting Zhuang, Fei Wu
Learning Decomposed Representations for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kun Kuang