Steering Social Media Promotions with Effective Strategies. - Kun Kuang 001; Meng Jiang 001; Peng Cui 001; Shiqiang Yang (ICDM, 2016)

Treatment Effect Estimation with Data-Driven Variable Decomposition. - Kun Kuang 001; Peng Cui 001; Bo Li 064; Meng Jiang 001; Shiqiang Yang; Fei Wang 001 (AAAI, 2017)

Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing. - Kun Kuang 001; Peng Cui 001; Bo Li 064; Meng Jiang 001; Shiqiang Yang (KDD, 2017)

On Image Classification: Correlation v.s. Causality. - Zheyan Shen; Peng Cui 001; Kun Kuang 001; Bo Li 064 (CoRR, 2017)

Stable Prediction across Unknown Environments. - Kun Kuang 001; Peng Cui 001; Susan Athey; Ruoxuan Xiong; Bo Li 064 (KDD, 2018)

Causally Regularized Learning with Agnostic Data Selection Bias. - Zheyan Shen; Peng Cui 001; Kun Kuang 001; Bo Li 064; Peixuan Chen (ACM Multimedia, 2018)

Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach. - Kun Kuang 001; Meng Jiang 001; Peng Cui 001; Hengliang Luo; Shiqiang Yang (IEEE Trans. Big Data, 2018)

Causation-Driven Visualizations for Insurance Recommendation. - Zhixiu Liu; Chengxi Zang; Kun Kuang 001; Hao Zou 001; Hu Zheng; Peng Cui 001 (ICME Workshops, 2019)

Disentangled Graph Convolutional Networks. - Jianxin Ma; Peng Cui 001; Kun Kuang 001; Xin Wang 019; Wenwu Zhu 001 (ICML, 2019)

Focused Context Balancing for Robust Offline Policy Evaluation. - Hao Zou 001; Kun Kuang 001; Boqi Chen; Peixuan Chen; Peng Cui 001 (KDD, 2019)

Stable Prediction with Model Misspecification and Agnostic Distribution Shift. - Kun Kuang 001; Ruoxuan Xiong; Peng Cui 001; Susan Athey; Bo Li 064 (AAAI, 2020)

Stable Learning via Sample Reweighting. - Zheyan Shen; Peng Cui 001; Tong Zhang 001; Kun Kuang 001 (AAAI, 2020)

IB-M: A Flexible Framework to Align an Interpretable Model and a Black-box Model. - Mengze Li 001; Kun Kuang 001; Qiang Zhu; Xiaohong Chen; Qing Guo; Fei Wu 001 (BIBM, 2020)

MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. - Yufei Feng 001; Fuyu Lv; Binbin Hu; Fei Sun 001; Kun Kuang 001; Yang Liu 200; Qingwen Liu 002; Wenwu Ou (CIKM, 2020)

De-Biased Court's View Generation with Causality. - Yiquan Wu 001; Kun Kuang 001; Yating Zhang; Xiaozhong Liu 001; Changlong Sun; Jun Xiao 001; Yueting Zhuang; Luo Si; Fei Wu 001 (EMNLP (1), 2020)

Decorrelated Clustering with Data Selection Bias. - Xiao Wang 017; Shaohua Fan; Kun Kuang 001; Chuan Shi 001; Jiawei Liu 006; Bai Wang 001 (IJCAI, 2020)

Continuous Treatment Effect Estimation via Generative Adversarial De-confounding. - Yunzhe Li 003; Kun Kuang 001; Bo Li 064; Peng Cui 001; Jianrong Tao; Hongxia Yang; Fei Wu 001 (CD@KDD, 2020)

Algorithmic Decision Making with Conditional Fairness. - Renzhe Xu; Peng Cui 001; Kun Kuang 001; Bo Li 064; Linjun Zhou; Zheyan Shen; Wei Cui (KDD, 2020)

Comprehensive Information Integration Modeling Framework for Video Titling. - Shengyu Zhang 001; Ziqi Tan; Zhou Zhao 001; Jin Yu; Kun Kuang 001; Tan Jiang; Jingren Zhou 001; Hongxia Yang; Fei Wu 001 (KDD, 2020)

Concept-based Explanation for Fine-grained Images and Its Application in Infectious Keratitis Classification. - Zhengqing Fang; Kun Kuang 001; Yuxiao Lin; Fei Wu 001; Yu-Feng Yao (ACM Multimedia, 2020)

DeVLBert: Learning Deconfounded Visio-Linguistic Representations. - Shengyu Zhang 001; Tan Jiang; Tan Wang; Kun Kuang 001; Zhou Zhao 001; Jianke Zhu; Jin Yu; Hongxia Yang; Fei Wu 001 (ACM Multimedia, 2020)

Poet: Product-oriented Video Captioner for E-commerce. - Shengyu Zhang 001; Ziqi Tan; Jin Yu; Zhou Zhao 001; Kun Kuang 001; Jie Liu 002; Jingren Zhou 001; Hongxia Yang; Fei Wu 001 (ACM Multimedia, 2020)

Machine knowledge and human cognition. - Fashen Li; Lian Li 003; Jianping Yin; Liang Huang 005; Qingguo Zhou; Ning An 001; Yong Zhang; Li Liu 001; Jialin Zhang; Kun Kuang 001; Lei Yang 021; Zhixi Wu; et al. (Big Data Min. Anal., 2020)

Balance-Subsampled Stable Prediction. - Kun Kuang 001; Hengtao Zhang; Fei Wu 001; Yueting Zhuang; Aijun Zhang (CoRR, 2020)

Invariant Adversarial Learning for Distributional Robustness. - Jiashuo Liu; Zheyan Shen; Peng Cui 001; Linjun Zhou; Kun Kuang 001; Bo Li 064; Yishi Lin (CoRR, 2020)

Stable Prediction via Leveraging Seed Variable. - Kun Kuang 001; Bo Li 064; Peng Cui 001; Yue Liu; Jianrong Tao; Yueting Zhuang; Fei Wu 001 (CoRR, 2020)

Learning Decomposed Representation for Counterfactual Inference. - Anpeng Wu; Kun Kuang 001; Junkun Yuan; Bo Li 064; Pan Zhou; Jianrong Tao; Qiang Zhu; Yueting Zhuang; Fei Wu 001 (CoRR, 2020)

Federated Unsupervised Representation Learning. - Fengda Zhang; Kun Kuang 001; Zhaoyang You; Tao Shen 002; Jun Xiao 001; Yin Zhang 006; Chao Wu 001; Yueting Zhuang; Xiaolin Li (CoRR, 2020)

Interventional Domain Adaptation. - Jun Wen 001; Changjian Shui; Kun Kuang 001; Junsong Yuan 001; Zenan Huang; Zhefeng Gong; Nenggan Zheng (CoRR, 2020)

Treatment Effect Estimation via Differentiated Confounder Balancing and Regression. - Kun Kuang 001; Peng Cui 001; Bo Li 064; Meng Jiang 001; Yashen Wang; Fei Wu 001; Shiqiang Yang (ACM Trans. Knowl. Discov. Data, 2020)

Judgment Prediction via Injecting Legal Knowledge into Neural Networks. - Leilei Gan; Kun Kuang 001; Yi Yang 001; Fei Wu 001 (AAAI, 2021)

Stable Adversarial Learning under Distributional Shifts. - Jiashuo Liu; Zheyan Shen; Peng Cui 001; Linjun Zhou; Kun Kuang 001; Bo Li 064; Yishi Lin (AAAI, 2021)

BertGCN: Transductive Text Classification by Combining GNN and BERT. - Yuxiao Lin; Yuxian Meng; Xiaofei Sun 001; Qinghong Han; Kun Kuang 001; Jiwei Li 001; Fei Wu 001 (ACL/IJCNLP (Findings), 2021)

Estimating Treatment Effect via Differentiated Confounder Matching. - Ziyu Zhao 001; Kun Kuang 001; Fei Wu 001 (CICAI, 2021)

Grounded, Controllable and Debiased Image Completion With Lexical Semantics. - Shengyu Zhang 001; Tan Jiang; Qinghao Huang; Ziqi Tan; Kun Kuang 001; Zhou Zhao 001; Siliang Tang; Jin Yu; Hongxia Yang; Yi Yang 001; Fei Wu 001 (CVPR Workshops, 2021)

DeVLBert: Out-of-Distribution Visio-Linguistic Pretraining With Causality. - Shengyu Zhang 001; Tan Jiang; Tan Wang; Kun Kuang 001; Zhou Zhao 001; Jianke Zhu; Jin Yu; Hongxia Yang; Fei Wu 001 (CVPR Workshops, 2021)

Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels. - Jiannan Guo 003; Haochen Shi; Yangyang Kang; Kun Kuang 001; Siliang Tang; Zhuoren Jiang; Changlong Sun; Fei Wu 001; Yueting Zhuang (ICCV, 2021)

Explainable Automated Graph Representation Learning with Hyperparameter Importance. - Xin Wang 019; Shuyi Fan; Kun Kuang 001; Wenwu Zhu 001 (ICML, 2021)

Analysis and Applications of Class-wise Robustness in Adversarial Training. - Qi Tian 003; Kun Kuang 001; Kelu Jiang; Fei Wu 001; Yisen Wang 001 (KDD, 2021)

Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. - Jiahui Li 003; Kun Kuang 001; Baoxiang Wang 001; Furui Liu; Long Chen 016; Fei Wu 001; Jun Xiao 001 (KDD, 2021)

Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation. - Jiahui Li 003; Kun Kuang 001; Lin Li 065; Long Chen 016; Songyang Zhang 004; Jian Shao 001; Jun Xiao 001 (ACM Multimedia, 2021)

MGD-GAN: Text-to-Pedestrian Generation Through Multi-grained Discrimination. - Shengyu Zhang 001; Donghui Wang; Zhou Zhao 001; Siliang Tang; Kun Kuang 001; Di Xie; Fei Wu 001 (PRCV (2), 2021)

BertGCN: Transductive Text Classification by Combining GCN and BERT. - Yuxiao Lin; Yuxian Meng; Xiaofei Sun 001; Qinghong Han; Kun Kuang 001; Jiwei Li 001; Fei Wu 001 (CoRR, 2021)

Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization. - Junkun Yuan; Xu Ma; Kun Kuang 001; Ruoxuan Xiong; Mingming Gong; Lanfen Lin (CoRR, 2021)

Stable Prediction on Graphs with Agnostic Distribution Shift. - Shengyu Zhang 001; Kun Kuang 001; Jiezhong Qiu; Jin Yu; Zhou Zhao 001; Hongxia Yang; Zhongfei Zhang; Fei Wu 001 (CoRR, 2021)

Do We Need to Directly Access the Source Datasets for Domain Generalization? - Junkun Yuan; Xu Ma; Defang Chen 001; Kun Kuang 001; Fei Wu 001; Lanfen Lin (CoRR, 2021)

Dialogue Inspectional Summarization with Factual Inconsistency Awareness. - Leilei Gan; Yating Zhang; Kun Kuang 001; Lin Yuan; Shuo Li; Changlong Sun; Xiaozhong Liu 001; Fei Wu 001 (CoRR, 2021)

Unified Group Fairness on Federated Learning. - Fengda Zhang; Kun Kuang 001; Yuxuan Liu; Chao Wu 001; Fei Wu 001; Jiaxun Lu; Yunfeng Shao 001; Jun Xiao 001 (CoRR, 2021)

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. - Jiangchao Yao; Shengyu Zhang 001; Yang Yao; Feng Wang 072; Jianxin Ma; Jianwei Zhang 012; Yunfei Chu; Luo Ji; Kunyang Jia; Tao Shen 002; Anpeng Wu; Fengda Zhang; et al. (CoRR, 2021)

Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth. - Qi Tian 001; Kun Kuang 001; Baoxiang Wang 001; Furui Liu; Fei Wu 001 (CoRR, 2021)

Dependency Parsing as MRC-based Span-Span Prediction. - Leilei Gan; Yuxian Meng; Kun Kuang 001; Xiaofei Sun 001; Chun Fan 001; Fei Wu 001; Jiwei Li 001 (ACL (1), 2022)

Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation. - Yemin Yu; Kun Kuang 001; Jiangchao Yang; Zeke Wang; Kunyang Jia; Weiming Lu 001; Hongxia Yang; Fei Wu 001 (CICAI (2), 2022)

Connecting Patients with Pre-diagnosis: A Multiple Graph Regularized Method for Mental Disorder Diagnosis. - Tianqi Zhao; Ming Kong; Kun Kuang 001; Zhengxing Huang; Qiang Zhu; Fei Wu 001 (CICAI (2), 2022)

Similar Case Based Prison Term Prediction. - Siying Zhou; Yifei Liu; Yiquan Wu 001; Kun Kuang 001; Chunyan Zheng; Fei Wu 001 (CICAI (3), 2022)

Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples. - Chengyuan Liu; Leilei Gan; Kun Kuang 001; Fei Wu 001 (EMNLP, 2022)

Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework. - Yiquan Wu 001; Yifei Liu; Weiming Lu 001; Yating Zhang; Jun Feng; Changlong Sun; Fei Wu 001; Kun Kuang 001 (EMNLP, 2022)

BA-GNN: On Learning Bias-Aware Graph Neural Network. - Zhengyu Chen 001; Teng Xiao; Kun Kuang 001 (ICDE, 2022)

Disentangled Sequential Autoencoder with Local Consistency for Infectious Keratitis Diagnosis. - Yuxuan Si; Zhengqing Fang; Kun Kuang 001; Zhengxing Huang; Yu-Feng Yao; Fei Wu 001 (ICIP, 2022)

The Role of Deconfounding in Meta-learning. - Yinjie Jiang; Zhengyu Chen 001; Kun Kuang 001; Luotian Yuan; Xinhai Ye; Zhihua Wang 008; Fei Wu 001; Ying Wei 001 (ICML, 2022)

Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning. - Jiahui Li 003; Kun Kuang 001; Baoxiang Wang 001; Furui Liu; Long Chen 016; Changjie Fan; Fei Wu 001; Jun Xiao 001 (ICML, 2022)

Instrumental Variable Regression with Confounder Balancing. - Anpeng Wu; Kun Kuang 001; Bo Li 064; Fei Wu 001 (ICML, 2022)

Estimating Individualized Causal Effect with Confounded Instruments. - Haotian Wang 001; Wenjing Yang 002; Longqi Yang 002; Anpeng Wu; Liyang Xu; Jing Ren; Fei Wu 001; Kun Kuang 001 (KDD, 2022)

Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning. - Jiannan Guo 003; Yangyang Kang; Yu Duan; Xiaozhong Liu 001; Siliang Tang; Wenqiao Zhang; Kun Kuang 001; Changlong Sun; Fei Wu 001 (KDD, 2022)

S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? - Shuang Luo; Yinchuan Li; Jiahui Li 003; Kun Kuang 001; Furui Liu; Yunfeng Shao 001; Chao Wu 001 (KDD, 2022)

TranSQ: Transformer-Based Semantic Query for Medical Report Generation. - Ming Kong; Zhengxing Huang; Kun Kuang 001; Qiang Zhu; Fei Wu 001 (MICCAI (8), 2022)

Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. - Junkun Yuan; Xu Ma; Defang Chen 001; Kun Kuang 001; Fei Wu 001; Lanfen Lin (ACM Multimedia, 2022)

ConfounderGAN: Protecting Image Data Privacy with Causal Confounder. - Qi Tian 003; Kun Kuang 001; Kelu Jiang; Furui Liu; Zhihua Wang 008; Fei Wu 001 (NeurIPS, 2022)

GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy. - Yemin Yu; Ying Wei 001; Kun Kuang 001; Zhengxing Huang; Huaxiu Yao; Fei Wu 001 (NeurIPS, 2022)

Uncovering Causal Effects of Online Short Videos on Consumer Behaviors. - Ziqi Tan; Shengyu Zhang 001; Nuanxin Hong; Kun Kuang 001; Yifan Yu; Jin Yu; Zhou Zhao 001; Hongxia Yang; Shiyuan Pan; Jingren Zhou 001; Fei Wu 001 (WSDM, 2022)

Attribute-aware interpretation learning for thyroid ultrasound diagnosis. - Ming Kong; Qing Guo; Shuowen Zhou; Mengze Li 001; Kun Kuang 001; Zhengxing Huang; Fei Wu 001; Xiaohong Chen; Qiang Zhu (Artif. Intell. Medicine, 2022)

Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling. - Zheqi Lv; Feng Wang 072; Shengyu Zhang 001; Kun Kuang 001; Hongxia Yang; Fei Wu 001 (CoRR, 2022)

Treatment Effect Estimation with Unmeasured Confounders in Data Fusion. - Anpeng Wu; Kun Kuang 001; Ruoxuan Xiong; Minqing Zhu; Yuxuan Liu; Bo Li 064; Furui Liu; Zhihua Wang 008; Fei Wu 001 (CoRR, 2022)

MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization. - Zheqi Lv; Feng Wang 072; Kun Kuang 001; Yongwei Wang; Zhengyu Chen 001; Tao Shen 002; Hongxia Yang; Fei Wu 001 (CoRR, 2022)

Domain Generalization via Contrastive Causal Learning. - Qiaowei Miao; Junkun Yuan; Kun Kuang 001 (CoRR, 2022)

Learning Individual Treatment Effects under Heterogeneous Interference in Networks. - Ziyu Zhao 001; Kun Kuang 001; Ruoxuan Xiong; Fei Wu 001 (CoRR, 2022)

Exploiting Contrastive Learning and Numerical Evidence for Improving Confusing Legal Judgment Prediction. - Leilei Gan; Baokui Li; Kun Kuang 001; Yi Yang 001; Fei Wu 001 (CoRR, 2022)

Confounder Balancing for Instrumental Variable Regression with Latent Variable. - Anpeng Wu; Kun Kuang 001; Ruoxuan Xiong; Bo Li 064; Fei Wu 001 (CoRR, 2022)

A full-process intelligent trial system for smart court. - Bin Wei 006; Kun Kuang 001; Changlong Sun; Jun Feng; Yating Zhang; Xinli Zhu; Jianghong Zhou; Yinsheng Zhai; Fei Wu 001 (Frontiers Inf. Technol. Electron. Eng., 2022)

Balance-Subsampled Stable Prediction Across Unknown Test Data. - Kun Kuang 001; Hengtao Zhang; Runze Wu 001; Fei Wu 001; Yueting Zhuang; Aijun Zhang (ACM Trans. Knowl. Discov. Data, 2022)

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. - Junkun Yuan; Anpeng Wu; Kun Kuang 001; Bo Li 064; Runze Wu 001; Fei Wu 001; Lanfen Lin (ACM Trans. Knowl. Discov. Data, 2022)

Data-Driven Variable Decomposition for Treatment Effect Estimation. - Kun Kuang 001; Peng Cui 001; Hao Zou 001; Bo Li 064; Jianrong Tao; Fei Wu 001; Shiqiang Yang (IEEE Trans. Knowl. Data Eng., 2022)

Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning. - Qi Tian 003; Kun Kuang 001; Furui Liu; Baoxiang Wang 001 (AAAI, 2023)

Learning Chemical Rules of Retrosynthesis with Pre-training. - Yinjie Jiang; Ying Wei 001; Fei Wu 001; Zhengxing Huang; Kun Kuang 001; Zhihua Wang 008 (AAAI, 2023)

Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. - Anpeng Wu; Kun Kuang 001; Ruoxuan Xiong; Minqing Zhu; Yuxuan Liu; Bo Li 064; Furui Liu; Zhihua Wang 008; Fei Wu 001 (AAAI, 2023)

Focus-aware Response Generation in Inquiry Conversation. - Yiquan Wu 001; Weiming Lu 001; Yating Zhang; Adam Jatowt; Jun Feng; Changlong Sun; Fei Wu 001; Kun Kuang 001 (ACL (Findings), 2023)

Causal Inspired Trustworthy Machine Learning. - Kun Kuang 001 (ACM TUR-C, 2023)

Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. - Shanqi Liu; Yujing Hu; Runze Wu 001; Dong Xing; Yu Xiong; Changjie Fan; Kun Kuang 001; Yong Liu 007 (AAMAS, 2023)

End-to-End Optimization of Quantization-Based Structure Learning and Interventional Next-Item Recommendation. - Kairui Fu; Qiaowei Miao; Shengyu Zhang 001; Kun Kuang 001; Fei Wu 001 (CICAI (1), 2023)

FairDR: Ensuring Fairness in Mixed Data of Fairly and Unfairly Treated Instances. - Yuxuan Liu; Kun Kuang 001; Fengda Zhang; Fei Wu 001 (CICAI (2), 2023)

Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation. - Zheqi Lv; Feng Wang 072; Shengyu Zhang 001; Wenqiao Zhang; Kun Kuang 001; Fei Wu 001 (CICAI (1), 2023)

Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction. - Leilei Gan; Baokui Li; Kun Kuang 001; Yating Zhang; Lei Wang 004; Anh Tuan Luu; Yi Yang 001; Fei Wu 001 (EMNLP (Findings), 2023)

RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction. - Chengyuan Liu; Fubang Zhao; Yangyang Kang; Jingyuan Zhang; Xiang Zhou; Changlong Sun; Kun Kuang 001; Fei Wu 001 (EMNLP (Findings), 2023)

Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. - Yiquan Wu 001; Siying Zhou; Yifei Liu; Weiming Lu 001; Xiaozhong Liu 001; Yating Zhang; Changlong Sun; Fei Wu 001; Kun Kuang 001 (EMNLP, 2023)

MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters. - Min Zhang 068; Junkun Yuan; Yue He 001; Wenbin Li; Zhengyu Chen 001; Kun Kuang 001 (ICCV, 2023)

Universal Domain Adaptation via Compressive Attention Matching. - Didi Zhu; Yinchuan Li; Junkun Yuan; Zexi Li 001; Kun Kuang 001; Chao Wu 001 (ICCV, 2023)

Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes. - Fengda Zhang; Kun Kuang 001; Long Chen 016; Yuxuan Liu; Chao Wu 001; Jun Xiao 001 (ICLR, 2023)

Causal Structure Learning for Latent Intervened Non-stationary Data. - Chenxi Liu; Kun Kuang 001 (ICML, 2023)

Stable Estimation of Heterogeneous Treatment Effects. - Anpeng Wu; Kun Kuang 001; Ruoxuan Xiong; Bo Li 064; Fei Wu 001 (ICML, 2023)

Treatment Effect Estimation with Adjustment Feature Selection. - Haotian Wang 001; Kun Kuang 001; Haoang Chi; Longqi Yang 002; Mingyang Geng; Wanrong Huang; Wenjing Yang 002 (KDD, 2023)

Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation. - Haoxuan Li 001; Chunyuan Zheng 001; Peng Wu 012; Kun Kuang 001; Yue Liu; Peng Cui 001 (KDD, 2023)

Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. - Yunze Tong; Junkun Yuan; Min Zhang 068; Didi Zhu; Keli Zhang; Fei Wu 001; Kun Kuang 001 (KDD, 2023)

Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. - Thuc Duy Le; Jiuyong Li; Robert Osazuwa Ness; Sofia Triantafillou; Shohei Shimizu; Peng Cui 001; Kun Kuang 001; Jian Pei 001; Fei Wang 001; Mattia Prosperi (CDPD, 2023)

Stable Prediction on Graphs with Agnostic Distribution Shifts. - Shengyu Zhang 001; Yunze Tong; Kun Kuang 001; Fuli Feng; Jiezhong Qiu; Jin Yu; Zhou Zhao 001; Hongxia Yang; Zhongfei Zhang; Fei Wu 001 (CDPD, 2023)

CLAP: Contrastive Language-Audio Pre-training Model for Multi-modal Sentiment Analysis. - Tianqi Zhao; Ming Kong; Tian Liang; Qiang Zhu; Kun Kuang 001; Fei Wu 001 (ICMR, 2023)

Generalized Universal Domain Adaptation with Generative Flow Networks. - Didi Zhu; Yinchuan Li; Yunfeng Shao 001; Jianye Hao; Fei Wu 001; Kun Kuang 001; Jun Xiao 001; Chao Wu 001 (ACM Multimedia, 2023)

Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning. - Jiahui Li 003; Kun Kuang 001; Baoxiang Wang 001; Xingchen Li; Fei Wu 001; Jun Xiao 001; Long Chen 016 (NeurIPS, 2023)

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. - Junkun Yuan; Xinyu Zhang 015; Hao Zhou 039; Jian Wang 066; Zhongwei Qiu; Zhiyin Shao; Shaofeng Zhang; Sifan Long 001; Kun Kuang 001; Kun Yao; Junyu Han; Errui Ding; et al. (NeurIPS, 2023)

ML-LJP: Multi-Law Aware Legal Judgment Prediction. - Yifei Liu; Yiquan Wu 001; Yating Zhang; Changlong Sun; Weiming Lu 001; Fei Wu 001; Kun Kuang 001 (SIGIR, 2023)

DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. - Zheqi Lv; Wenqiao Zhang; Shengyu Zhang 001; Kun Kuang 001; Feng Wang 072; Yongwei Wang; Zhengyu Chen 001; Tao Shen 002; Hongxia Yang; Beng Chin Ooi; Fei Wu 001 (WWW, 2023)

Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. - Dingyuan Zhu; Daixin Wang; Zhiqiang Zhang 012; Kun Kuang 001; Yan Zhang 151; Yulin Kang; Jun Zhou 011 (WWW, 2023)

IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System. - Zheqi Lv; Zhengyu Chen 001; Shengyu Zhang 001; Kun Kuang 001; Wenqiao Zhang; Mengze Li 001; Beng Chin Ooi; Fei Wu 001 (CoRR, 2023)

Universal Domain Adaptation via Compressive Attention Matching. - Didi Zhu; Yinchuan Li; Junkun Yuan; Zexi Li 001; Yunfeng Shao 001; Kun Kuang 001; Chao Wu 001 (CoRR, 2023)

Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. - Didi Zhu; Yinchuan Li; Min Zhang 068; Junkun Yuan; Jiashuo Liu; Zexi Li 001; Kun Kuang 001; Chao Wu 001 (CoRR, 2023)

Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series. - Anpeng Wu; Haoxuan Li 001; Kun Kuang 001; Keli Zhang; Fei Wu 001 (CoRR, 2023)

MEDOE: A Multi-Expert Decoder and Output Ensemble Framework for Long-tailed Semantic Segmentation. - Junao Shen; Long Chen 016; Kun Kuang 001; Fei Wu 001; Tian Feng 001; Wei Zhang 243 (CoRR, 2023)

A Chinese Prompt Attack Dataset for LLMs with Evil Content. - Chengyuan Liu; Fubang Zhao; Lizhi Qing; Yangyang Kang; Changlong Sun; Kun Kuang 001; Fei Wu 001 (CoRR, 2023)

Learning to Reweight for Graph Neural Network. - Zhengyu Chen 001; Teng Xiao; Kun Kuang 001; Zheqi Lv; Min Zhang 068; Jinluan Yang; Chengqiang Lu; Hongxia Yang; Fei Wu 001 (CoRR, 2023)

Differentiated matching for individual and average treatment effect estimation. - Ziyu Zhao 001; Kun Kuang 001; Bo Li 064; Peng Cui 001; Runze Wu 001; Jun Xiao 001; Fei Wu 001 (Data Min. Knowl. Discov., 2023)

Domain-Specific Bias Filtering for Single Labeled Domain Generalization. - Junkun Yuan; Xu Ma; Defang Chen 001; Kun Kuang 001; Fei Wu 001; Lanfen Lin (Int. J. Comput. Vis., 2023)

Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. - Junkun Yuan; Xu Ma; Ruoxuan Xiong; Mingming Gong; Xiangyu Liu; Fei Wu 001; Lanfen Lin; Kun Kuang 001 (ACM Trans. Knowl. Discov. Data, 2023)

Learning Decomposed Representations for Treatment Effect Estimation. - Anpeng Wu; Junkun Yuan; Kun Kuang 001; Bo Li 064; Runze Wu 001; Qiang Zhu; Yueting Zhuang; Fei Wu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Stable Prediction With Leveraging Seed Variable. - Kun Kuang 001; Haotian Wang 001; Yue Liu; Ruoxuan Xiong; Runze Wu 001; Weiming Lu 001; Yueting Zhuang; Fei Wu 001; Peng Cui 001; Bo Li 064 (IEEE Trans. Knowl. Data Eng., 2023)

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. - Jiangchao Yao; Shengyu Zhang 001; Yang Yao; Feng Wang 072; Jianxin Ma; Jianwei Zhang 012; Yunfei Chu; Luo Ji; Kunyang Jia; Tao Shen 002; Anpeng Wu; Fengda Zhang; et al. (IEEE Trans. Knowl. Data Eng., 2023)

Federated unsupervised representation learning. - Fengda Zhang; Kun Kuang 001; Long Chen 016; Zhaoyang You; Tao Shen 002; Jun Xiao 001; Yin Zhang 006; Chao Wu 001; Fei Wu 001; Yueting Zhuang; Xiaolin Li (Frontiers Inf. Technol. Electron. Eng., 2023)

Personalized Latent Structure Learning for Recommendation. - Shengyu Zhang 001; Fuli Feng; Kun Kuang 001; Wenqiao Zhang; Zhou Zhao 001; Hongxia Yang; Tat-Seng Chua; Fei Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. - Tao Shen 002; Jie Zhang 081; Xinkang Jia; Fengda Zhang; Zheqi Lv; Kun Kuang 001; Chao Wu 001; Fei Wu 001 (Frontiers Inf. Technol. Electron. Eng., 2023)

Distributionally Robust Learning With Stable Adversarial Training. - Jiashuo Liu; Zheyan Shen; Peng Cui 001; Linjun Zhou; Kun Kuang 001; Bo Li 064 (IEEE Trans. Knowl. Data Eng., 2023)

Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. - Junkun Yuan; Xu Ma; Defang Chen 001; Fei Wu 001; Lanfen Lin; Kun Kuang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Learning to Reweight for Generalizable Graph Neural Network. - Zhengyu Chen 001; Teng Xiao; Kun Kuang 001; Zheqi Lv; Min Zhang 068; Jinluan Yang; Chengqiang Lu; Hongxia Yang; Fei Wu 001 (AAAI, 2024)

CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation. - Kexin Li; Chengjiang Long; Shengyu Zhang 001; Xudong Tang; Zhichao Zhai; Kun Kuang 001; Jun Xiao 001 (AAAI, 2024)

CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation. - Junao Shen; Kun Kuang 001; Jiaheng Wang; Xinyu Wang 036; Tian Feng 001; Wei Zhang 243 (AAAI, 2024)

De-biased Attention Supervision for Text Classification with Causality. - Yiquan Wu 001; Yifei Liu; Ziyu Zhao 001; Weiming Lu 001; Yating Zhang; Changlong Sun; Fei Wu 001; Kun Kuang 001 (AAAI, 2024)

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. - Minqin Zhu; Anpeng Wu; Haoxuan Li 001; Ruoxuan Xiong; Bo Li 064; Xiaoqing Yang; Xuan Qin; Peng Zhen 001; Jiecheng Guo; Fei Wu 001; Kun Kuang 001 (AAAI, 2024)

Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning. - Yiquan Wu 001; Anlai Zhou; Yuhang Liu 005; Yifei Liu; Adam Jatowt; Weiming Lu 001; Jun Xiao 001; Kun Kuang 001 (ACL (Findings), 2024)

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. - Ziyu Zhao 001; Leilei Gan; Guoyin Wang 002; Wangchunshu Zhou; Hongxia Yang; Kun Kuang 001; Fei Wu 001 (ACL (Findings), 2024)

Latent Learningscape Guided In-context Learning. - Anlai Zhou; Sunshine Jiang; Yifei Liu; Yiquan Wu 001; Kun Kuang 001; Jun Xiao 001 (ACL (Findings), 2024)

From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction. - Ang Li 049; Qiangchao Chen; Yiquan Wu 001; Xiang Zhou; Kun Kuang 001; Fei Wu 001; Ming Cai (LREC/COLING, 2024)

Enhancing Court View Generation with Knowledge Injection and Guidance. - Ang Li 049; Yiquan Wu 001; Yifei Liu; Kun Kuang 001; Fei Wu 001; Ming Cai (LREC/COLING, 2024)

Evolving Knowledge Distillation with Large Language Models and Active Learning. - Chengyuan Liu; Fubang Zhao; Kun Kuang 001; Yangyang Kang; Zhuoren Jiang; Changlong Sun; Fei Wu 001 (LREC/COLING, 2024)

Distributionally Generative Augmentation for Fair Facial Attribute Classification. - Fengda Zhang; Qianpei He; Kun Kuang 001; Jiashuo Liu; Long Chen 016; Chao Wu 001; Jun Xiao 001; Hanwang Zhang (CVPR, 2024)

Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning. - Jiahui Li 003; Hanlin Zhang; Fengda Zhang; Tai-Wei Chang; Kun Kuang 001; Long Chen 016; Jun Zhou 011 (EMNLP, 2024)

More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs. - Chengyuan Liu; Yangyang Kang; Shihang Wang; Lizhi Qing; Fubang Zhao; Chao Wu 001; Changlong Sun; Kun Kuang 001; Fei Wu 001 (EMNLP, 2024)

Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs. - Chengyuan Liu; Shihang Wang; Lizhi Qing; Kun Kuang 001; Yangyang Kang; Changlong Sun; Fei Wu 001 (EMNLP, 2024)

Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data. - Qiaowei Miao; Junkun Yuan; Shengyu Zhang 001; Fei Wu 001; Kun Kuang 001 (ICASSP, 2024)

Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations. - Yuling Zhang; Anpeng Wu; Kun Kuang 001; Liang Du 004; Zixun Sun; Zhi Wang (ICDE, 2024)

AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation. - Zihao Tang; Zheqi Lv; Shengyu Zhang 001; Yifan Zhou; Xinyu Duan; Fei Wu 001; Kun Kuang 001 (ICLR, 2024)

MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. - Min Zhang 068; Haoxuan Li 001; Fei Wu 001; Kun Kuang 001 (ICLR, 2024)

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. - Xueyu Hu; Ziyu Zhao 001; Shuang Wei; Ziwei Chai; Qianli Ma; Guoyin Wang 002; Xuwu Wang; Jing Su 005; Jingjing Xu; Ming Zhu; Yao Cheng; Jianbo Yuan; et al. (ICML, 2024)

A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective. - Baohong Li; Haoxuan Li 001; Anpeng Wu; Minqin Zhu; Shiyuan Peng; Qingyu Cao; Kun Kuang 001 (ICML, 2024)

Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias. - Baohong Li; Haoxuan Li 001; Ruoxuan Xiong; Anpeng Wu; Fei Wu 001; Kun Kuang 001 (ICML, 2024)

Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias. - Baohong Li; Anpeng Wu; Ruoxuan Xiong; Kun Kuang 001 (ICML, 2024)

Learning Causal Relations from Subsampled Time Series with Two Time-Slices. - Anpeng Wu; Haoxuan Li 001; Kun Kuang 001; Keli Zhang; Fei Wu 001 (ICML, 2024)

Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. - Didi Zhu; Zhongyi Sun 002; Zexi Li 001; Tao Shen 002; Ke Yan; Shouhong Ding; Chao Wu 001; Kun Kuang 001 (ICML, 2024)

Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. - Wenjing Yang 002; Haotian Wang 001; Haoxuan Li 001; Hao Zou 001; Ruochun Jin; Kun Kuang 001; Peng Cui 001 (KDD, 2024)

Xinyu: An Efficient LLM-based System for Commentary Generation. - Yiquan Wu 001; Bo Tang 018; Chenyang Xi; Yu Yu 008; Pengyu Wang; Yifei Liu; Kun Kuang 001; Haiying Deng; Zhiyu Li; Feiyu Xiong; Jie Hu 025; Peng Cheng; et al. (KDD, 2024)

Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. - Didi Zhu; Zexi Li 001; Min Zhang 068; Junkun Yuan; Jiashuo Liu; Kun Kuang 001; Chao Wu 001 (KDD, 2024)

Semantic Alignment for Multimodal Large Language Models. - Tao Wu; Mengze Li 001; Jingyuan Chen; Wei Ji 008; Wang Lin; Jinyang Gao; Kun Kuang 001; Zhou Zhao 001; Fei Wu 001 (ACM Multimedia, 2024)

An Adaptive Aggregation Method for Federated Learning via Meta Controller. - Tao Shen 002; Zexi Li 001; Ziyu Zhao 001; Didi Zhu; Zheqi Lv; Shengyu Zhang 001; Kun Kuang 001; Fei Wu 001 (MMAsia Workshops, 2024)

Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge. - Yifei Liu; Yiquan Wu 001; Ang Li 049; Yating Zhang; Changlong Sun; Weiming Lu 001; Fei Wu 001; Kun Kuang 001 (NAACL-HLT (Findings), 2024)

Intelligent Model Update Strategy for Sequential Recommendation. - Zheqi Lv; Wenqiao Zhang; Zhengyu Chen 001; Shengyu Zhang 001; Kun Kuang 001 (WWW, 2024)

Leveraging Print Debugging to Improve Code Generation in Large Language Models. - Xueyu Hu; Kun Kuang 001; Jiankai Sun; Hongxia Yang; Fei Wu 001 (CoRR, 2024)

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. - Xueyu Hu; Ziyu Zhao 001; Shuang Wei; Ziwei Chai; Guoyin Wang 002; Xuwu Wang; Jing Su 005; Jingjing Xu; Ming Zhu; Yao Cheng; Jianbo Yuan; Kun Kuang 001; et al. (CoRR, 2024)

Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence. - Zhengqing Fang; Shuowen Zhou; Zhouhang Yuan; Yuxuan Si; Mengze Li 001; Jinxu Li; Yesheng Xu; Wenjia Xie; Kun Kuang 001; Yingming Li; Fei Wu 001; Yu-Feng Yao (CoRR, 2024)

ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation. - Zihao Tang; Zheqi Lv; Shengyu Zhang 001; Fei Wu 001; Kun Kuang 001 (CoRR, 2024)

Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects. - Yingrong Wang; Anpeng Wu; Haoxuan Li 001; Weiming Liu 005; Qiaowei Miao; Ruoxuan Xiong; Fei Wu 001; Kun Kuang 001 (CoRR, 2024)

Discovering Invariant Neighborhood Patterns for Heterophilic Graphs. - Ruihao Zhang; Zhengyu Chen 001; Teng Xiao; Yueyang Wang; Kun Kuang 001 (CoRR, 2024)

MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities. - Kunxi Li; Tianyu Zhan; Shengyu Zhang 001; Kun Kuang 001; Jiwei Li 001; Zhou Zhao 001; Fei Wu 001 (CoRR, 2024)

Debiasing Machine Unlearning with Counterfactual Examples. - Ziheng Chen 002; Jia Wang 009; Jun Zhuang 004; Abbavaram Gowtham Reddy; Fabrizio Silvestri; Jin Huang 010; Kaushiki Nag; Kun Kuang 001; Xin Ning 001; Gabriele Tolomei (CoRR, 2024)

More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs. - Chengyuan Liu; Shihang Wang; Yangyang Kang; Lizhi Qing; Fubang Zhao; Changlong Sun; Kun Kuang 001; Fei Wu 001 (CoRR, 2024)

Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning. - Ziyu Zhao 001; Leilei Gan; Guoyin Wang 002; Yuwei Hu; Tao Shen 002; Hongxia Yang; Kun Kuang 001; Fei Wu 001 (CoRR, 2024)

Causal Inference with Complex Treatments: A Survey. - Yingrong Wang; Haoxuan Li 001; Minqin Zhu; Anpeng Wu; Ruoxuan Xiong; Fei Wu 001; Kun Kuang 001 (CoRR, 2024)

Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression. - Anpeng Wu; Kun Kuang 001; Ruoxuan Xiong; Xiangwei Chen; Zexu Sun; Fei Wu 001; Kun Zhang 001 (CoRR, 2024)

Causal Agent based on Large Language Model. - Kairong Han; Kun Kuang 001; Ziyu Zhao 001; Junjian Ye; Fei Wu 001 (CoRR, 2024)

IntOPE: Off-Policy Evaluation in the Presence of Interference. - Yuqi Bai; Ziyu Zhao 001; Minqin Zhu; Kun Kuang 001 (CoRR, 2024)

RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU. - Chengyuan Liu; Shihang Wang; Fubang Zhao; Kun Kuang 001; Yangyang Kang; Weiming Lu 001; Changlong Sun; Fei Wu 001 (CoRR, 2024)

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. - Ziyu Zhao 001; Tao Shen 002; Didi Zhu; Zexi Li 001; Jing Su 005; Xuwu Wang; Kun Kuang 001; Fei Wu 001 (CoRR, 2024)

Causality for Large Language Models. - Anpeng Wu; Kun Kuang 001; Minqin Zhu; Yingrong Wang; Yujia Zheng 001; Kairong Han; Baohong Li; Guangyi Chen 002; Fei Wu 001; Kun Zhang 001 (CoRR, 2024)

R3HF: Reward Redistribution for Enhancing Reinforcement Learning from Human Feedback. - Jiahui Li 003; Tai-Wei Chang; Fengda Zhang; Kun Kuang 001; Long Chen 016 (CoRR, 2024)

Deconfounded hierarchical multi-granularity classification. - Ziyu Zhao 001; Leilei Gan; Tao Shen 002; Kun Kuang 001; Fei Wu 001 (Comput. Vis. Image Underst., 2024)

Unlocking authentic judicial reasoning: A Template-Based Legal Information Generation framework for judicial views. - Xiang Zhou; Yudong Wu; Ang Li 049; Ming Cai; Yiquan Wu 001; Kun Kuang 001 (Knowl. Based Syst., 2024)

Causality-Guided Stepwise Intervention and Reweighting for Remote Sensing Image Semantic Segmentation. - Shuting Shi; Baohong Li; Laifu Zhang; Kun Kuang 001; Sensen Wu; Tian Feng 001; Yiming Yan; Zhenhong Du (IEEE Trans. Geosci. Remote. Sens., 2024)

Simulating doctors' thinking logic for chest X-ray report generation via Transformer-based Semantic Query learning. - Danyang Gao; Ming Kong; Yongrui Zhao; Jing Huang; Zhengxing Huang; Kun Kuang 001; Fei Wu 001; Qiang Zhu (Medical Image Anal., 2024)

Unified fair federated learning for digital healthcare. - Fengda Zhang; Zitao Shuai; Kun Kuang 001; Fei Wu 001; Yueting Zhuang; Jun Xiao 001 (Patterns, 2024)

Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. - Shengyu Zhang 001; Ziqi Jiang; Jiangchao Yao; Fuli Feng; Kun Kuang 001; Zhou Zhao 001; Shuo Li; Hongxia Yang; Tat-Seng Chua; Fei Wu 001 (IEEE Trans. Knowl. Data Eng., 2024)

SLED: Structure Learning based Denoising for Recommendation. - Shengyu Zhang 001; Tan Jiang; Kun Kuang 001; Fuli Feng; Jin Yu; Jianxin Ma; Zhou Zhao 001; Jianke Zhu; Hongxia Yang; Tat-Seng Chua; Fei Wu 001 (ACM Trans. Inf. Syst., 2024)

Out-of-Distribution Generalization With Causal Feature Separation. - Haotian Wang 001; Kun Kuang 001; Long Lan; Zige Wang; Wanrong Huang; Fei Wu 001; Wenjing Yang 002 (IEEE Trans. Knowl. Data Eng., 2024)

Debiased Graph Neural Networks With Agnostic Label Selection Bias. - Shaohua Fan; Xiao Wang 017; Chuan Shi 001; Kun Kuang 001; Nian Liu 001; Bai Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation. - Shengyu Zhang 001; Qiaowei Miao; Ping Nie; Mengze Li 001; Zhengyu Chen 001; Fuli Feng; Kun Kuang 001; Fei Wu 001 (ACM Trans. Inf. Syst., 2024)

LK-IB: a hybrid framework with legal knowledge injection for compulsory measure prediction. - Xiang Zhou; Qi Liu; Yiquan Wu 001; Qiangchao Chen; Kun Kuang 001 (Artif. Intell. Law, 2024)

Learning Individual Treatment Effects under Heterogeneous Interference in Networks. - Ziyu Zhao 001; Yuqi Bai; Ruoxuan Xiong; Qingyu Cao; Chao Ma 009; Ning Jiang; Fei Wu 001; Kun Kuang 001 (ACM Trans. Knowl. Discov. Data, 2024)

Unleash the Power of Inconsistency-Based Semi-Supervised Active Learning by Dynamic Programming of Curriculum Learning. - Jiannan Guo 003; Yangyang Kang; Xiaolin Li; Wenqiao Zhang; Kun Kuang 001; Changlong Sun; Siliang Tang; Fei Wu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Learning Causal Transition Matrix for Instance-dependent Label Noise. - Jiahui Li 003; Tai-Wei Chang; Kun Kuang 001; Ximing Li; Long Chen 016; Jun Zhou 011 (AAAI, 2025)

FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning. - Zhonghua Jiang 006; Jimin Xu; Shengyu Zhang 001; Tao Shen 002; Jiwei Li 001; Kun Kuang 001; Haibin Cai; Fei Wu 001 (AAAI, 2025)

MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities. - Kunxi Li; Tianyu Zhan; Kairui Fu; Shengyu Zhang 001; Kun Kuang 001; Jiwei Li 001; Zhou Zhao 001; Fan Wu 006; Fei Wu 001 (AAAI, 2025)

Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration. - Zheqi Lv; Keming Ye; Zishu Wei; Qi Tian 003; Shengyu Zhang 001; Wenqiao Zhang; Wenjie Wang 007; Kun Kuang 001; Tat-Seng Chua; Fei Wu 001 (AAAI, 2025)

Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction. - Yuting Huang 001; Chengyuan Liu; Yifeng Feng; Yiquan Wu 001; Chao Wu 001; Fei Wu 001; Kun Kuang 001 (ACL (Findings), 2025)

OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use. - Xueyu Hu; Tao Xiong; Biao Yi; Zishu Wei; Ruixuan Xiao; Yurun Chen 004; Jiasheng Ye; Meiling Tao; Xiangxin Zhou; Ziyu Zhao 001; Yuhuai Li; Shengze Xu; et al. (ACL (1), 2025)

UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever. - Ang Li 049; Yiquan Wu 001; Yifei Liu; Ming Cai; Lizhi Qing; Shihang Wang; Yangyang Kang; Chengyuan Liu; Fei Wu 001; Kun Kuang 001 (ACL (1), 2025)

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents. - Tao Wu; Jingyuan Chen; Wang Lin; Mengze Li 001; Yumeng Zhu; Ang Li 049; Kun Kuang 001; Fei Wu 001 (ACL (1), 2025)

Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method. - Kairong Han; Weidong Huang 010; Taiyang Zhou; Peng Zhen 001; Kun Kuang 001 (CIKM, 2025)

Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering. - Yinghao Hu 001; Leilei Gan; Wenyi Xiao; Kun Kuang 001; Fei Wu 001 (COLING, 2025)

Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards. - Zijing Hu; Fengda Zhang; Long Chen 016; Kun Kuang 001; Jiahui Li 003; Kaifeng Gao; Jun Xiao 001; Xin Wang 019; Wenwu Zhu 001 (CVPR, 2025)

CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models. - Kairong Han; Wenshuo Zhao; Ziyu Zhao 001; Ye Jun Jian; Lujia Pan; Kun Kuang 001 (EMNLP, 2025)

Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond. - Yinghao Hu 001; Yaoyao Yu; Leilei Gan; Bin Wei 006; Kun Kuang 001; Fei Wu 001 (EMNLP (Findings), 2025)

RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution. - Jiahui Li 003; Lin Li 065; Tai-Wei Chang; Kun Kuang 001; Long Chen 016; Jun Zhou 011; Cheng Yang 002 (EMNLP, 2025)

CoEvo: Coevolution of LLM and Retrieval Model for Domain-Specific Information Retrieval. - Ang Li 049; Yiquan Wu 001; Yinghao Hu 001; Lizhi Qing; Shihang Wang; Chengyuan Liu; Tao Wu; Adam Jatowt; Ming Cai; Fei Wu 001; Kun Kuang 001 (EMNLP, 2025)

ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation. - Siying Zhou; Yiquan Wu 001; Hui Chen 023; Xueyu Hu; Kun Kuang 001; Adam Jatowt; Chunyan Zheng; Fei Wu 001 (EMNLP (Findings), 2025)

Universal Legal Article Prediction via Tight Collaboration between Supervised Classification Model and LLM. - Xiao Chi; Wenlin Zhong; Yiquan Wu 001; Wei Wang 059; Kun Kuang 001; Fei Wu 001; Minghui Xiong (ICAIL, 2025)

Decoding Correlation-Induced Misalignment in the Stable Diffusion Workflow for Text-to-Image Generation. - Yunze Tong; Fengda Zhang; Didi Zhu; Jun Xiao 001; Kun Kuang 001 (ICCV, 2025)

Arrow: Accelerator for Time Series Causal Discovery with Time Weaving. - Yuanyuan Yao 002; Yuan Dong; Lu Chen 001; Kun Kuang 001; Ziquan Fang; Cheng Long; Yunjun Gao; Tianyi Li 005 (ICML, 2025)

ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models. - Xinpeng Dong; Min Zhang 068; Didi Zhu; Ye Jun Jian; Keli Zhang; Aimin Zhou; Fei Wu 001; Kun Kuang 001 (ICML, 2025)

Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge. - Hanglei Hu; Yingying Guo; Zhikang Chen; Sen Cui; Fei Wu 001; Kun Kuang 001; Min Zhang 068; Bo Jiang 016 (ICML, 2025)

D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples. - Zijing Hu; Fengda Zhang; Kun Kuang 001 (ICML, 2025)

Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments. - Baohong Li; Yingrong Wang; Anpeng Wu; Ming Ma; Ruoxuan Xiong; Kun Kuang 001 (ICML, 2025)

Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data. - Yunze Tong; Fengda Zhang; Zihao Tang; Kaifeng Gao; Kai Huang; Pengfei Lyu; Jun Xiao 001; Kun Kuang 001 (ICML, 2025)

Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation. - Minqin Zhu; Zexu Sun; Ruoxuan Xiong; Anpeng Wu; Baohong Li; Caizhi Tang; Jun Zhou 011; Fei Wu 001; Kun Kuang 001 (ICML, 2025)

Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation. - Kairui Fu; Zheqi Lv; Shengyu Zhang 001; Fan Wu 006; Kun Kuang 001 (KDD (1), 2025)

Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation. - Zheqi Lv; Tianyu Zhan; Wenjie Wang 007; Xinyu Lin 001; Shengyu Zhang 001; Wenqiao Zhang; Jiwei Li 001; Kun Kuang 001; Fei Wu 001 (KDD (1), 2025)

Classifying Treatment Responders: Bounds and Algorithms. - Anpeng Wu; Haoxuan Li 001; Chunyuan Zheng 001; Kun Kuang 001; Kun Zhang 001 (KDD (1), 2025)

Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing. - Zheqi Lv; Wenqiao Zhang; Kairui Fu; Qi Tian 003; Shengyu Zhang 001; Jiajie Su; Jingyuan Chen; Kun Kuang 001; Fei Wu 001 (ACM Multimedia, 2025)

Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification. - Ang Li 049; Yiquan Wu 001; Ming Cai; Adam Jatowt; Xiang Zhou; Weiming Lu 001; Changlong Sun; Fei Wu 001; Kun Kuang 001 (NAACL (Long Papers), 2025)

Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator. - Chengyuan Liu; Shihang Wang; Lizhi Qing; Jun Lin; Ji Zhang; Fei Wu 001; Kun Kuang 001 (NAACL (Long Papers), 2025)

Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts. - Jinluan Yang; Zhengyu Chen 001; Teng Xiao; Yong Lin; Wenqiao Zhang; Kun Kuang 001 (WWW, 2025)

Unraveling and Mitigating Endogenous Task-oriented Spurious Correlations in Ego-graphs via Automated Counterfactual Contrastive Learning. - Tianqianjin Lin; Yangyang Kang; Zhuoren Jiang; Kaisong Song; Kun Kuang 001; Changlong Sun; Cui Huang; Xiaozhong Liu 001 (Expert Syst. Appl., 2025)

Learning double balancing representation for heterogeneous dose-response curve estimation. - Minqin Zhu; Anpeng Wu; Haoxuan Li 001; Ruoxuan Xiong; Bo Li 064; Fei Wu 001; Kun Kuang 001 (Neural Networks, 2025)

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning. - Ziyu Zhao 001; Yixiao Zhou; Didi Zhu; Tao Shen 002; Xuwu Wang; Jing Su 005; Kun Kuang 001; Zhongyu Wei; Fei Wu 001; Yu Cheng 001 (CoRR, 2025)

Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging. - Jinluan Yang; Dingnan Jin; Anke Tang; Li Shen 008; Didi Zhu; Zhengyu Chen 001; Daixin Wang; Qing Cui; Zhiqiang Zhang 012; Jun Zhou 011; Fei Wu 001; Kun Kuang 001 (CoRR, 2025)

Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction. - Yuting Huang 001; Chengyuan Liu; Yifeng Feng; Chao Wu 001; Fei Wu 001; Kun Kuang 001 (CoRR, 2025)

Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders. - Ziyu Zhao 001; Anpeng Wu; Kun Kuang 001; Ruoxuan Xiong; Bo Li 064; Zhihua Wang 008; Fei Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Towards Stepwise Domain Knowledge-Driven Reasoning Optimization and Reflection Improvement. - Chengyuan Liu; Shihang Wang; Lizhi Qing; Kaisong Song; Junjie Cao 003; Jun Lin; Ji Zhang; Ang Li 049; Kun Kuang 001; Fei Wu 001 (CoRR, 2025)

Cross-Modality Image Interpretation via Concept Decomposition Vector of Visual-Language Models. - Zhengqing Fang; Zhouhang Yuan; Ziyu Li; Jingyuan Chen; Kun Kuang 001; Yu-Feng Yao; Fei Wu 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Sequential Treatment Effect Estimation with Unmeasured Confounders. - Yingrong Wang; Anpeng Wu; Baohong Li; Ziyang Xiao; Ruoxuan Xiong; Qing Han; Kun Kuang 001 (CoRR, 2025)

AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios. - Yuting Huang 001; Meitong Guo; Yiquan Wu 001; Ang Li 049; Xiaozhong Liu 001; Keting Yin; Changlong Sun; Fei Wu 001; Kun Kuang 001 (CoRR, 2025)

LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation. - Weikang Yuan; Kaisong Song; Zhuoren Jiang; Junjie Cao 003; Yujie Zhang; Jun Lin; Kun Kuang 001; Ji Zhang; Xiaozhong Liu 001 (CoRR, 2025)

ReTimeCausal: EM-Augmented Additive Noise Models for Interpretable Causal Discovery in Irregular Time Series. - Weihong Li; Anpeng Wu; Kun Kuang 001; Keting Yin (CoRR, 2025)

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use. - Xueyu Hu; Tao Xiong; Biao Yi; Zishu Wei; Ruixuan Xiao; Yurun Chen 004; Jiasheng Ye; Meiling Tao; Xiangxin Zhou; Ziyu Zhao 001; Yuhuai Li; Shengze Xu; et al. (CoRR, 2025)

Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction. - Tao Wu; Jingyuan Chen; Wang Lin; Jian Zhan; Mengze Li 001; Kun Kuang 001; Fei Wu 001 (CoRR, 2025)

ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation. - Siying Zhou; Yiquan Wu 001; Hui Chen 023; Xavier Hu; Kun Kuang 001; Adam Jatowt; Ming Hu; Chunyan Zheng; Fei Wu 001 (CoRR, 2025)

FedMcon: an adaptive aggregation method for federated learning via meta controller. - Tao Shen 002; Zexi Li 001; Ziyu Zhao 001; Didi Zhu; Zheqi Lv; Kun Kuang 001; Shengyu Zhang 001; Chao Wu 001; Fei Wu 001 (Frontiers Inf. Technol. Electron. Eng., 2025)

General information metrics for improving AI model training efficiency. - Jianfeng Xu; Congcong Liu; Xiaoying Tan; Xiaojie Zhu; Anpeng Wu; Huan Wan; Weijun Kong; Chun Li; Hu Xu; Kun Kuang 001; Fei Wu 001 (Artif. Intell. Rev., 2025)

Unifying Adversarial Perturbation for Graph Neural Networks. - Jinluan Yang; Ruihao Zhang; Zhengyu Chen 001; Fei Wu 001; Kun Kuang 001 (CoRR, 2025)

CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models. - Kairong Han; Wenshuo Zhao; Ziyu Zhao 001; Junjian Ye; Lujia Pan; Kun Kuang 001 (CoRR, 2025)

FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets. - Kairui Fu; Tao Zhang 022; Shuwen Xiao; Ziyang Wang; Xinming Zhang; Chenchi Zhang; Yuliang Yan; Junjun Zheng; Yu Li; Zhihong Chen; Jian Wu 032; Xiangheng Kong; et al. (CoRR, 2025)

Efficient Ensemble Conditional Independence Test Framework for Causal Discovery. - Zhengkang Guan; Kun Kuang 001 (CoRR, 2025)

Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation. - Zijing Hu; Yunze Tong; Fengda Zhang; Junkun Yuan; Jun Xiao 001; Kun Kuang 001 (CoRR, 2025)

EduDial: Constructing a Large-scale Multi-turn Teacher-Student Dialogue Corpus. - Shou'ang Wei; Min Zhang 068; Xin Lin 001; Bo Jiang 016; Zhongxiang Dai; Kun Kuang 001 (CoRR, 2025)

OmniEduBench: A Comprehensive Chinese Benchmark for Evaluating Large Language Models in Education. - Min Zhang 068; Hao Chen 190; Hao Chen 191; Wenqi Zhang; Didi Zhu; Xin Lin 001; Bo Jiang 016; Aimin Zhou; Fei Wu 001; Kun Kuang 001 (CoRR, 2025)

UCO: A Multi-Turn Interactive Reinforcement Learning Method for Adaptive Teaching with Large Language Models. - Shou'ang Wei; Min Zhang 068; Xin Lin 001; Bo Jiang 016; Kun Kuang 001; Zhongxiang Dai (CoRR, 2025)

EduAgentQG: A Multi-Agent Workflow Framework for Personalized Question Generation. - Rui Jia; Min Zhang 068; Fengrui Liu; Bo Jiang 016; Kun Kuang 001; Zhongxiang Dai (CoRR, 2025)

C2DLM: Causal Concept-Guided Diffusion Large Language Models. - Kairong Han; Nuanqiao Shan; Ziyu Zhao 001; Zijing Hu; Xinpeng Dong; Junjian Ye; Lujia Pan; Fei Wu 001; Kun Kuang 001 (CoRR, 2025)

Instrumental Variables in Causal Inference and Machine Learning: A Survey. - Anpeng Wu; Kun Kuang 001; Ruoxuan Xiong; Fei Wu 001 (ACM Comput. Surv., 2025)

RexUniNLU: Recursive Method With Explicit Schema Instructor for Universal Natural Language Understanding. - Chengyuan Liu; Shihang Wang; Yangyang Kang; Fubang Zhao; Kun Kuang 001; Weiming Lu 001; Changlong Sun; Fei Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Detecting Unobserved Confounders: A Kernelized Regression Approach. - Yikai Chen; Yunxin Mao; Chunyuan Zheng 001; Hao Zou 001; Shanzhi Gu; Shixuan Liu; Yang Shi 009; Wenjing Yang 002; Kun Kuang 001; Haotian Wang 001 (AAAI, 2026)

Think Then Rewrite: Reasoning Enhanced Query Rewriting for Domain Specific Retrieval. - Ang Li 049; Yufei Shi; Yuxuan Si; Yiquan Wu 001; Ming Cai; Xu Tan; Yi Wang; Changlong Sun; Xiaozhong Liu 001; Kun Kuang 001 (AAAI, 2026)

P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering. - Wenlin Zhong; Chengyuan Liu; Yiquan Wu 001; Bovin Tan; Changlong Sun; Yi Wang; Xiaozhong Liu 001; Kun Kuang 001 (AAAI, 2026)

Continuous-Time Counterfactual Quantile Learning for Risk-Sensitive Policy Optimization. - Yi He; Anpeng Wu; Ruoxuan Xiong; Yingrong Wang; Kun Kuang 001 (KDD (1), 2026)

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning. - Ziyu Zhao 001; Yixiao Zhou; Xin Yu; Zhi Zhang 005; Didi Zhu; Tao Shen 002; Zexi Li 001; Jinluan Yang; Xuwu Wang; Jing Su 005; Kun Kuang 001; Zhongyu Wei; et al. (KDD (1), 2026)

A multi-agent framework with legal event logic graph for multi-defendant legal judgment prediction. - Weikang Yuan; Kaisong Song; Zhuoren Jiang; Junjie Cao 003; Yujie Zhang; Chengyuan Liu; Jun Lin; Ji Zhang; Kun Kuang 001; Xiaozhong Liu 001 (Inf. Process. Manag., 2026)

MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation. - Qihang Yu; Kairui Fu; Zhaocheng Du; Yuxuan Si; Kaiyuan Li; Weihao Zhao; Zhicheng Zhang 008; Jieming Zhu; Quanyu Dai; Zhenhua Dong; Shengyu Zhang 001; Kun Kuang 001; et al. (CoRR, 2026)

Reversible Diffusion Decoding for Diffusion Language Models. - Xinyun Wang; Min Zhang 068; Sen Cui; Zhikang Chen; Bo Jiang 016; Kun Kuang 001; Mingbao Lin (CoRR, 2026)

RankGR: Rank-Enhanced Generative Retrieval with Listwise Direct Preference Optimization in Recommendation. - Kairui Fu; Changfa Wu; Kun Yuan; Binbin Cao; Dunxian Huang; Yuliang Yan; Junjun Zheng; Jianning Zhang; Silu Zhou; Jian Wu 032; Kun Kuang 001 (CoRR, 2026)

TwiFF (Think With Future Frames): A Large-Scale Dataset for Dynamic Visual Reasoning. - Junhua Liu; Zhangcheng Wang; Zhike Han; Ningli Wang; Guotao Liang; Kun Kuang 001 (CoRR, 2026)

SIGHT: Reinforcement Learning with Self-Evidence and Information-Gain Diverse Branching for Search Agent. - Wenlin Zhong; Jinluan Yang; Yiquan Wu 001; Yi Liu; Jianhang Yao; Kun Kuang 001 (CoRR, 2026)

ExpertWeaver: Unlocking the Inherent MoE in Dense LLMs with GLU Activation Patterns. - Ziyu Zhao 001; Tong Zhu 002; Zhiqiang Zhang 012; Tiantian Fan; Jinluan Yang; Kun Kuang 001; Zhongyu Wei; Fei Wu 001; Yu Cheng 001 (CoRR, 2026)

TopoCurate:Modeling Interaction Topology for Tool-Use Agent Training. - Jinluan Yang; Yuxin Liu; Zhengyu Chen 001; Chengcheng Han 006; Yueqing Sun; Qi Gu; Hui Su; Xunliang Cai; Fei Wu 001; Kun Kuang 001 (CoRR, 2026)

A Knowledge-Informed Pretrained Model for Causal Discovery. - Wenbo Xu; Yue He 001; Yunhai Wang; Xingxuan Zhang; Kun Kuang 001; Yueguo Chen; Peng Cui 001 (CoRR, 2026)

LegalAI Research in LLM Era: Data, Modeling and Evaluation. - Xiao Chi; Wei Wang 059; Ziyao Zhang; Ang Li 049; Yuting Huang 001; Yiquan Wu 001; Kun Kuang 001; Changlong Sun; Xiaozhong Liu 001; Fei Wu 001; Minghui Xiong (Artif. Intell. Rev., 2026)

WisdomInterrogatory (LuWen): An Open-Source Legal Large Language Model Technical Report. - Yiquan Wu 001; Yuhang Liu 005; Yifei Liu; Ang Li 049; Siying Zhou; Kun Kuang 001; Fei Wu 001 (CoRR, 2026)

PoliLegalLM: A Technical Report on a Large Language Model for Political and Legal Affairs. - Yuting Huang 001; Yinghao Hu 001; Qian Xiao; Wenlin Zhong; Yiquan Wu 001; Taishi Zhou; Moke Chen; Changlong Sun; Kun Kuang 001; Fei Wu 001 (CoRR, 2026)

Causal Inference with Complex Treatments: A Survey. - Yingrong Wang; Haoxuan Li 001; Minqin Zhu; Anpeng Wu; Baohong Li; Keting Yin; Ruoxuan Xiong; Fei Wu 001; Kun Kuang 001 (ACM Comput. Surv., 2026)