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Kun Kuang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

125

Venues

21

Active years

2016–2026

Best venue rank

A*

Where they publish

Papers

125 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIDetecting Unobserved Confounders: A Kernelized Regression Approach.Yikai Chen, Yunxin Mao, Chunyuan Zheng, Hao Zou, Shanzhi Gu, Shixuan Liu, Yang Shi, Wenjing Yang, Kun Kuang, Haotian Wang
2026AAAIThink Then Rewrite: Reasoning Enhanced Query Rewriting for Domain Specific Retrieval.Ang Li, Yufei Shi, Yuxuan Si, Yiquan Wu, Ming Cai, Xu Tan, Yi Wang, Changlong Sun, Xiaozhong Liu, Kun Kuang
2026AAAIP2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering.Wenlin Zhong, Chengyuan Liu, Yiquan Wu, Bovin Tan, Changlong Sun, Yi Wang, Xiaozhong Liu, Kun Kuang
2026ACLC²DLM: Causal Concept-Guided Diffusion Large Language Models.Kairong Han, Nuanqiao Shan, Ziyu Zhao, Zijing Hu, Xinpeng Dong, Ye Jun Jian, Lujia Pan, Fei Wu, Kun Kuang
2026ACL"I Don't Know What to Say": A Fact-Filling Questionnaire Method to Help Non-Experts Talk to LegalAI Assistant.Yuting Huang, Yiquan Wu, Meitong Guo, Ang Li, Xiaozhong Liu, Keting Yin, Fei Wu, Kun Kuang
2026ACLSplitThenMerge: Token-Level Skill-Compositional Sparse Mixture-of-Experts for Complex Domain-Specific Tasks.Yuting Huang, Jiawen Zhang, Yiquan Wu, Yinghao Hu, Fei Wu, Kun Kuang
2026ACLTailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction.Tao Wu, Jingyuan Chen, Wang Lin, Jian Zhan, Mengze Li, Fangzhou Jin, Min Zhang, Kun Kuang, Fei Wu
2026ACLLeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation.Weikang Yuan, Kaisong Song, Zhuoren Jiang, Junjie Cao, Yujie Zhang, Jun Lin, Kun Kuang, Ji Zhang, Xiaozhong Liu
2026KDDContinuous-Time Counterfactual Quantile Learning for Risk-Sensitive Policy Optimization.Yi He, Anpeng Wu, Ruoxuan Xiong, Yingrong Wang, Kun Kuang
2026KDDEach Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning.Ziyu Zhao, Yixiao Zhou, Xin Yu, Zhi Zhang, Didi Zhu, Tao Shen, Zexi Li, Jinluan Yang, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng
2025AAAILearning Causal Transition Matrix for Instance-dependent Label Noise.Jiahui Li, Tai-Wei Chang, Kun Kuang, Ximing Li, Long Chen, Jun Zhou
2025AAAIFedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning.Zhonghua Jiang, Jimin Xu, Shengyu Zhang, Tao Shen, Jiwei Li, Kun Kuang, Haibin Cai, Fei Wu
2025AAAIMergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities.Kunxi Li, Tianyu Zhan, Kairui Fu, Shengyu Zhang, Kun Kuang, Jiwei Li, Zhou Zhao, Fan Wu, Fei Wu
2025AAAIOptimize Incompatible Parameters Through Compatibility-aware Knowledge Integration.Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu
2025ACLRewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction.Yuting Huang, Chengyuan Liu, Yifeng Feng, Yiquan Wu, Chao Wu, Fei Wu, Kun Kuang
2025ACLOS 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, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu
2025ACLUniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever.Ang Li, Yiquan Wu, Yifei Liu, Ming Cai, Lizhi Qing, Shihang Wang, Yangyang Kang, Chengyuan Liu, Fei Wu, Kun Kuang
2025ACLEmbracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents.Tao Wu, Jingyuan Chen, Wang Lin, Mengze Li, Yumeng Zhu, Ang Li, Kun Kuang, Fei Wu
2025CIKMAugmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method.Kairong Han, Weidong Huang, Taiyang Zhou, Peng Zhen, Kun Kuang
2025COLINGFine-tuning Large Language Models for Improving Factuality in Legal Question Answering.Yinghao Hu, Leilei Gan, Wenyi Xiao, Kun Kuang, Fei Wu
2025CVPRTowards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards.Zijing Hu, Fengda Zhang, Long Chen, Kun Kuang, Jiahui Li, Kaifeng Gao, Jun Xiao, Xin Wang, Wenwu Zhu
2025EMNLPCAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models.Kairong Han, Wenshuo Zhao, Ziyu Zhao, Ye Jun Jian, Lujia Pan, Kun Kuang
2025EMNLPEvaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond.Yinghao Hu, Yaoyao Yu, Leilei Gan, Bin Wei, Kun Kuang, Fei Wu
2025EMNLPRED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution.Jiahui Li, Lin Li, Tai-Wei Chang, Kun Kuang, Long Chen, Jun Zhou, Cheng Yang
2025EMNLPCoEvo: Coevolution of LLM and Retrieval Model for Domain-Specific Information Retrieval.Ang Li, Yiquan Wu, Yinghao Hu, Lizhi Qing, Shihang Wang, Chengyuan Liu, Tao Wu, Adam Jatowt, Ming Cai, Fei Wu, Kun Kuang
2025EMNLPClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation.Siying Zhou, Yiquan Wu, Hui Chen, Xueyu Hu, Kun Kuang, Adam Jatowt, Chunyan Zheng, Fei Wu
2025ICAILUniversal Legal Article Prediction via Tight Collaboration between Supervised Classification Model and LLM.Xiao Chi, Wenlin Zhong, Yiquan Wu, Wei Wang, Kun Kuang, Fei Wu, Minghui Xiong
2025ICCVDecoding Correlation-Induced Misalignment in the Stable Diffusion Workflow for Text-to-Image Generation.Yunze Tong, Fengda Zhang, Didi Zhu, Jun Xiao, Kun Kuang
2025ICMLArrow: Accelerator for Time Series Causal Discovery with Time Weaving.Yuanyuan Yao, Yuan Dong, Lu Chen, Kun Kuang, Ziquan Fang, Cheng Long, Yunjun Gao, Tianyi Li
2025ICMLERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models.Xinpeng Dong, Min Zhang, Didi Zhu, Ye Jun Jian, Keli Zhang, Aimin Zhou, Fei Wu, Kun Kuang
2025ICMLAdvancing Personalized Learning with Neural Collapse for Long-Tail Challenge.Hanglei Hu, Yingying Guo, Zhikang Chen, Sen Cui, Fei Wu, Kun Kuang, Min Zhang, Bo Jiang
2025ICMLD-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples.Zijing Hu, Fengda Zhang, Kun Kuang
2025ICMLGeneralizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments.Baohong Li, Yingrong Wang, Anpeng Wu, Ming Ma, Ruoxuan Xiong, Kun Kuang
2025ICMLLatent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data.Yunze Tong, Fengda Zhang, Zihao Tang, Kaifeng Gao, Kai Huang, Pengfei Lyu, Jun Xiao, Kun Kuang
2025ICMLRethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation.Minqin Zhu, Zexu Sun, Ruoxuan Xiong, Anpeng Wu, Baohong Li, Caizhi Tang, Jun Zhou, Fei Wu, Kun Kuang
2025KDDForward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation.Kairui Fu, Zheqi Lv, Shengyu Zhang, Fan Wu, Kun Kuang
2025KDDCollaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation.Zheqi Lv, Tianyu Zhan, Wenjie Wang, Xinyu Lin, Shengyu Zhang, Wenqiao Zhang, Jiwei Li, Kun Kuang, Fei Wu
2025KDDClassifying Treatment Responders: Bounds and Algorithms.Anpeng Wu, Haoxuan Li, Chunyuan Zheng, Kun Kuang, Kun Zhang
2025NAACLLearning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator.Chengyuan Liu, Shihang Wang, Lizhi Qing, Jun Lin, Ji Zhang, Fei Wu, Kun Kuang
2025NAACLLegal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification.Ang Li, Yiquan Wu, Ming Cai, Adam Jatowt, Xiang Zhou, Weiming Lu, Changlong Sun, Fei Wu, Kun Kuang
2025WWWLeveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts.Jinluan Yang, Zhengyu Chen, Teng Xiao, Yong Lin, Wenqiao Zhang, Kun Kuang
2024AAAILearning to Reweight for Generalizable Graph Neural Network.Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
2024AAAICoreRec: A Counterfactual Correlation Inference for Next Set Recommendation.Kexin Li, Chengjiang Long, Shengyu Zhang, Xudong Tang, Zhichao Zhai, Kun Kuang, Jun Xiao
2024AAAICGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation.Junao Shen, Kun Kuang, Jiaheng Wang, Xinyu Wang, Tian Feng, Wei Zhang
2024AAAIDe-biased Attention Supervision for Text Classification with Causality.Yiquan Wu, Yifei Liu, Ziyu Zhao, Weiming Lu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang
2024AAAIContrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation.Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
2024ACLChain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning.Yiquan Wu, Anlai Zhou, Yuhang Liu, Yifei Liu, Adam Jatowt, Weiming Lu, Jun Xiao, Kun Kuang
2024ACLLoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
2024ACLLatent Learningscape Guided In-context Learning.Anlai Zhou, Sunshine Jiang, Yifei Liu, Yiquan Wu, Kun Kuang, Jun Xiao
2024COLINGFrom Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction.Ang Li, Qiangchao Chen, Yiquan Wu, Xiang Zhou, Kun Kuang, Fei Wu, Ming Cai
2024COLINGEvolving Knowledge Distillation with Large Language Models and Active Learning.Chengyuan Liu, Fubang Zhao, Kun Kuang, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Fei Wu
2024COLINGEnhancing Court View Generation with Knowledge Injection and Guidance.Ang Li, Yiquan Wu, Yifei Liu, Kun Kuang, Fei Wu, Ming Cai
2024CVPRDistributionally Generative Augmentation for Fair Facial Attribute Classification.Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang
2024EMNLPOptimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning.Jiahui Li, Hanlin Zhang, Fengda Zhang, Tai-Wei Chang, Kun Kuang, Long Chen, Jun Zhou
2024EMNLPMore Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs.Chengyuan Liu, Yangyang Kang, Shihang Wang, Lizhi Qing, Fubang Zhao, Chao Wu, Changlong Sun, Kun Kuang, Fei Wu
2024EMNLPGold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs.Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu
2024ICASSPDomaindiff: Boost out-of-Distribution Generalization with Synthetic Data.Qiaowei Miao, Junkun Yuan, Shengyu Zhang, Fei Wu, Kun Kuang
2024ICDEStable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations.Yuling Zhang, Anpeng Wu, Kun Kuang, Liang Du, Zixun Sun, Zhi Wang
2024ICLRAuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation.Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang
2024ICLRMetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation.Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang
2024ICMLInfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu
2024ICMLA Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective.Baohong Li, Haoxuan Li, Anpeng Wu, Minqin Zhu, Shiyuan Peng, Qingyu Cao, Kun Kuang
2024ICMLLearning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias.Baohong Li, Haoxuan Li, Ruoxuan Xiong, Anpeng Wu, Fei Wu, Kun Kuang
2024ICMLTwo-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias.Baohong Li, Anpeng Wu, Ruoxuan Xiong, Kun Kuang
2024ICMLLearning Causal Relations from Subsampled Time Series with Two Time-Slices.Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu
2024ICMLModel Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models.Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Chao Wu, Kun Kuang
2024KDDYour Neighbor Matters: Towards Fair Decisions Under Networked Interference.Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui
2024KDDXinyu: An Efficient LLM-based System for Commentary Generation.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
2024KDDNeural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models.Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu
2024NAACLUnleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge.Yifei Liu, Yiquan Wu, Ang Li, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang
2024WWWIntelligent Model Update Strategy for Sequential Recommendation.Zheqi Lv, Wenqiao Zhang, Zhengyu Chen, Shengyu Zhang, Kun Kuang
2023AAAILearning from Good Trajectories in Offline Multi-Agent Reinforcement Learning.Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang
2023AAAILearning Chemical Rules of Retrosynthesis with Pre-training.Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang, Zhihua Wang
2023AAAILearning Instrumental Variable from Data Fusion for Treatment Effect Estimation.Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
2023ACLFocus-aware Response Generation in Inquiry Conversation.Yiquan Wu, Weiming Lu, Yating Zhang, Adam Jatowt, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang
2023EMNLPExploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction.Leilei Gan, Baokui Li, Kun Kuang, Yating Zhang, Lei Wang, Anh Tuan Luu, Yi Yang, Fei Wu
2023EMNLPRexUIE: 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, Fei Wu
2023EMNLPPrecedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration.Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang
2023ICCVMAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters.Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang
2023ICCVUniversal Domain Adaptation via Compressive Attention Matching.Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu
2023ICLRFairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes.Fengda Zhang, Kun Kuang, Long Chen, Yuxuan Liu, Chao Wu, Jun Xiao
2023ICMLCausal Structure Learning for Latent Intervened Non-stationary Data.Chenxi Liu, Kun Kuang
2023ICMLStable Estimation of Heterogeneous Treatment Effects.Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu
2023KDDTreatment Effect Estimation with Adjustment Feature Selection.Haotian Wang, Kun Kuang, Haoang Chi, Longqi Yang, Mingyang Geng, Wanrong Huang, Wenjing Yang
2023KDDWho Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation.Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui
2023KDDQuantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization.Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang
2023WWWDUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization.Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu
2023WWWGraph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling.Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou
2023SIGIRML-LJP: Multi-Law Aware Legal Judgment Prediction.Yifei Liu, Yiquan Wu, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang
2022ACLDependency Parsing as MRC-based Span-Span Prediction.Leilei Gan, Yuxian Meng, Kun Kuang, Xiaofei Sun, Chun Fan, Fei Wu, Jiwei Li
2022EMNLPInvestigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples.Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu
2022EMNLPTowards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework.Yiquan Wu, Yifei Liu, Weiming Lu, Yating Zhang, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang
2022ICDEBA-GNN: On Learning Bias-Aware Graph Neural Network.Zhengyu Chen, Teng Xiao, Kun Kuang
2022ICIPDisentangled Sequential Autoencoder with Local Consistency for Infectious Keratitis Diagnosis.Yuxuan Si, Zhengqing Fang, Kun Kuang, Zhengxing Huang, Yu-Feng Yao, Fei Wu
2022ICMLThe Role of Deconfounding in Meta-learning.Yinjie Jiang, Zhengyu Chen, Kun Kuang, Luotian Yuan, Xinhai Ye, Zhihua Wang, Fei Wu, Ying Wei
2022ICMLDeconfounded Value Decomposition for Multi-Agent Reinforcement Learning.Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Changjie Fan, Fei Wu, Jun Xiao
2022ICMLInstrumental Variable Regression with Confounder Balancing.Anpeng Wu, Kun Kuang, Bo Li, Fei Wu
2022KDDEstimating Individualized Causal Effect with Confounded Instruments.Haotian Wang, Wenjing Yang, Longqi Yang, Anpeng Wu, Liyang Xu, Jing Ren, Fei Wu, Kun Kuang
2022KDDCollaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning.Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu
2022KDDS2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu
2022MICCAITranSQ: Transformer-Based Semantic Query for Medical Report Generation.Ming Kong, Zhengxing Huang, Kun Kuang, Qiang Zhu, Fei Wu
2022WSDMUncovering Causal Effects of Online Short Videos on Consumer Behaviors.Ziqi Tan, Shengyu Zhang, Nuanxin Hong, Kun Kuang, Yifan Yu, Jin Yu, Zhou Zhao, Hongxia Yang, Shiyuan Pan, Jingren Zhou, Fei Wu
2021AAAIJudgment Prediction via Injecting Legal Knowledge into Neural Networks.Leilei Gan, Kun Kuang, Yi Yang, Fei Wu
2021AAAIStable Adversarial Learning under Distributional Shifts.Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
2021ACLBertGCN: Transductive Text Classification by Combining GNN and BERT.Yuxiao Lin, Yuxian Meng, Xiaofei Sun, Qinghong Han, Kun Kuang, Jiwei Li, Fei Wu
2021CVPRGrounded, Controllable and Debiased Image Completion With Lexical Semantics.Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Kun Kuang, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu
2021CVPRDeVLBert: Out-of-Distribution Visio-Linguistic Pretraining With Causality.Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu
2021ICCVSemi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels.Jiannan Guo, Haochen Shi, Yangyang Kang, Kun Kuang, Siliang Tang, Zhuoren Jiang, Changlong Sun, Fei Wu, Yueting Zhuang
2021ICMLExplainable Automated Graph Representation Learning with Hyperparameter Importance.Xin Wang, Shuyi Fan, Kun Kuang, Wenwu Zhu
2021KDDAnalysis and Applications of Class-wise Robustness in Adversarial Training.Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang
2021KDDShapley Counterfactual Credits for Multi-Agent Reinforcement Learning.Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao
2020AAAIStable Prediction with Model Misspecification and Agnostic Distribution Shift.Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2020AAAIStable Learning via Sample Reweighting.Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang
2020CIKMMTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction.Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou
2020EMNLPDe-Biased Court's View Generation with Causality.Yiquan Wu, Kun Kuang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Jun Xiao, Yueting Zhuang, Luo Si, Fei Wu
2020IJCAIDecorrelated Clustering with Data Selection Bias.Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
2020KDDContinuous Treatment Effect Estimation via Generative Adversarial De-confounding.Yunzhe Li, Kun Kuang, Bo Li, Peng Cui, Jianrong Tao, Hongxia Yang, Fei Wu
2020KDDAlgorithmic Decision Making with Conditional Fairness.Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
2020KDDComprehensive Information Integration Modeling Framework for Video Titling.Shengyu Zhang, Ziqi Tan, Zhou Zhao, Jin Yu, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu
2019ICMLDisentangled Graph Convolutional Networks.Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, Wenwu Zhu
2019KDDFocused Context Balancing for Robust Offline Policy Evaluation.Hao Zou, Kun Kuang, Boqi Chen, Peixuan Chen, Peng Cui
2018KDDStable Prediction across Unknown Environments.Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li
2017AAAITreatment Effect Estimation with Data-Driven Variable Decomposition.Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang
2017KDDEstimating Treatment Effect in the Wild via Differentiated Confounder Balancing.Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang
2016ICDMSteering Social Media Promotions with Effective Strategies.Kun Kuang, Meng Jiang, Peng Cui, Shiqiang Yang