Kun Kuang

332 papers A* 95A 4B 3C 1Misc 1Journal 183Unranked 44
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Knowledge-Informed Pretrained Model for Causal Discovery.
CoRR
Wenbo Xu, Yue He, Yunhai Wang, Xingxuan Zhang, Kun Kuang, Yueguo Chen, Peng Cui
2026 J jnl
A multi-agent framework with legal event logic graph for multi-defendant legal judgment prediction.
Inf. Process. Manag.
Weikang Yuan, Kaisong Song, Zhuoren Jiang, Junjie Cao, Yujie Zhang, Chengyuan Liu, Jun Lin, Ji Zhang, Kun Kuang, Xiaozhong Liu
2026 J jnl
Causal Inference with Complex Treatments: A Survey.
ACM Comput. Surv.
Yingrong Wang, Haoxuan Li, Minqin Zhu, Anpeng Wu, Baohong Li, Keting Yin, Ruoxuan Xiong, Fei Wu, Kun Kuang
2026 — conf
Continuous-Time Counterfactual Quantile Learning for Risk-Sensitive Policy Optimization.
KDD (1)
Yi He, Anpeng Wu, Ruoxuan Xiong, Yingrong Wang, Kun Kuang
2026 A* conf
Detecting Unobserved Confounders: A Kernelized Regression Approach.
AAAI
Yikai Chen, Yunxin Mao, Chunyuan Zheng, Hao Zou, Shanzhi Gu, Shixuan Liu, Yang Shi, Wenjing Yang, Kun Kuang, Haotian Wang
2026 J jnl
Detecting Unobserved Confounders: A Kernelized Regression Approach.
CoRR
Yikai Chen, Yunxin Mao, Chunyuan Zheng, Hao Zou, Shanzhi Gu, Shixuan Liu, Yang Shi, Wenjing Yang, Kun Kuang, Haotian Wang
2026 — conf
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning.
KDD (1)
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
2026 J jnl
ExpertWeaver: Unlocking the Inherent MoE in Dense LLMs with GLU Activation Patterns.
CoRR
Ziyu Zhao, Tong Zhu, Zhiqiang Zhang, Tiantian Fan, Jinluan Yang, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng
2026 J jnl
LegalAI Research in LLM Era: Data, Modeling and Evaluation.
Artif. Intell. Rev.
Xiao Chi, Wei Wang, Ziyao Zhang, Ang Li, Yuting Huang, Yiquan Wu, Kun Kuang, Changlong Sun, Xiaozhong Liu, Fei Wu, Minghui Xiong
2026 J jnl
MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation.
CoRR
Qihang Yu, Kairui Fu, Zhaocheng Du, Yuxuan Si, Kaiyuan Li, Weihao Zhao, Zhicheng Zhang, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Shengyu Zhang, Kun Kuang, Fei Wu
2026 A* conf
P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering.
AAAI
Wenlin Zhong, Chengyuan Liu, Yiquan Wu, Bovin Tan, Changlong Sun, Yi Wang, Xiaozhong Liu, Kun Kuang
2026 J jnl
P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering.
CoRR
Wenlin Zhong, Chengyuan Liu, Yiquan Wu, Bovin Tan, Changlong Sun, Yi Wang, Xiaozhong Liu, Kun Kuang
2026 J jnl
RankGR: Rank-Enhanced Generative Retrieval with Listwise Direct Preference Optimization in Recommendation.
CoRR
Kairui Fu, Changfa Wu, Kun Yuan, Binbin Cao, Dunxian Huang, Yuliang Yan, Junjun Zheng, Jianning Zhang, Silu Zhou, Jian Wu, Kun Kuang
2026 J jnl
Reversible Diffusion Decoding for Diffusion Language Models.
CoRR
Xinyun Wang, Min Zhang, Sen Cui, Zhikang Chen, Bo Jiang, Kun Kuang, Mingbao Lin
2026 J jnl
SIGHT: Reinforcement Learning with Self-Evidence and Information-Gain Diverse Branching for Search Agent.
CoRR
Wenlin Zhong, Jinluan Yang, Yiquan Wu, Yi Liu, Jianhang Yao, Kun Kuang
2026 A* conf
Think Then Rewrite: Reasoning Enhanced Query Rewriting for Domain Specific Retrieval.
AAAI
Ang Li, Yufei Shi, Yuxuan Si, Yiquan Wu, Ming Cai, Xu Tan, Yi Wang, Changlong Sun, Xiaozhong Liu, Kun Kuang
2026 J jnl
TopoCurate:Modeling Interaction Topology for Tool-Use Agent Training.
CoRR
Jinluan Yang, Yuxin Liu, Zhengyu Chen, Chengcheng Han, Yueqing Sun, Qi Gu, Hui Su, Xunliang Cai, Fei Wu, Kun Kuang
2026 J jnl
TwiFF (Think With Future Frames): A Large-Scale Dataset for Dynamic Visual Reasoning.
CoRR
Junhua Liu, Zhangcheng Wang, Zhike Han, Ningli Wang, Guotao Liang, Kun Kuang
2025 A* conf
Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge.
ICML
Hanglei Hu, Yingying Guo, Zhikang Chen, Sen Cui, Fei Wu, Kun Kuang, Min Zhang, Bo Jiang
2025 J jnl
AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios.
CoRR
Yuting Huang, Meitong Guo, Yiquan Wu, Ang Li, Xiaozhong Liu, Keting Yin, Changlong Sun, Fei Wu, Kun Kuang
2025 A* conf
Arrow: Accelerator for Time Series Causal Discovery with Time Weaving.
ICML
Yuanyuan Yao, Yuan Dong, Lu Chen, Kun Kuang, Ziquan Fang, Cheng Long, Yunjun Gao, Tianyi Li
2025 J jnl
Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation.
CoRR
Zijing Hu, Yunze Tong, Fengda Zhang, Junkun Yuan, Jun Xiao, Kun Kuang
2025 A conf
Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method.
CIKM
Kairong Han, Weidong Huang, Taiyang Zhou, Peng Zhen, Kun Kuang
2025 J jnl
Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method.
CoRR
Kairong Han, Weidong Huang, Taiyang Zhou, Peng Zhen, Kun Kuang
2025 J jnl
C
CoRR
Kairong Han, Nuanqiao Shan, Ziyu Zhao, Zijing Hu, Xinpeng Dong, Junjian Ye, Lujia Pan, Fei Wu, Kun Kuang
2025 A* conf
CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models.
EMNLP
Kairong Han, Wenshuo Zhao, Ziyu Zhao, Ye Jun Jian, Lujia Pan, Kun Kuang
2025 J jnl
CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models.
CoRR
Kairong Han, Wenshuo Zhao, Ziyu Zhao, Junjian Ye, Lujia Pan, Kun Kuang
2025 — conf
ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation.
EMNLP (Findings)
Siying Zhou, Yiquan Wu, Hui Chen, Xueyu Hu, Kun Kuang, Adam Jatowt, Chunyan Zheng, Fei Wu
2025 J jnl
ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation.
CoRR
Siying Zhou, Yiquan Wu, Hui Chen, Xavier Hu, Kun Kuang, Adam Jatowt, Ming Hu, Chunyan Zheng, Fei Wu
2025 — conf
Classifying Treatment Responders: Bounds and Algorithms.
KDD (1)
Anpeng Wu, Haoxuan Li, Chunyuan Zheng, Kun Kuang, Kun Zhang
2025 A* conf
CoEvo: Coevolution of LLM and Retrieval Model for Domain-Specific Information Retrieval.
EMNLP
Ang Li, Yiquan Wu, Yinghao Hu, Lizhi Qing, Shihang Wang, Chengyuan Liu, Tao Wu, Adam Jatowt, Ming Cai, Fei Wu, Kun Kuang
2025 — conf
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation.
KDD (1)
Zheqi Lv, Tianyu Zhan, Wenjie Wang, Xinyu Lin, Shengyu Zhang, Wenqiao Zhang, Jiwei Li, Kun Kuang, Fei Wu
2025 J jnl
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation.
CoRR
Zheqi Lv, Tianyu Zhan, Wenjie Wang, Xinyu Lin, Shengyu Zhang, Wenqiao Zhang, Jiwei Li, Kun Kuang, Fei Wu
2025 J jnl
Cross-Modality Image Interpretation via Concept Decomposition Vector of Visual-Language Models.
IEEE Trans. Circuits Syst. Video Technol.
Zhengqing Fang, Zhouhang Yuan, Ziyu Li, Jingyuan Chen, Kun Kuang, Yu-Feng Yao, Fei Wu
2025 A* conf
D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples.
ICML
Zijing Hu, Fengda Zhang, Kun Kuang
2025 J jnl
D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples.
CoRR
Zijing Hu, Fengda Zhang, Kun Kuang
2025 A* conf
ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models.
ICML
Xinpeng Dong, Min Zhang, Didi Zhu, Ye Jun Jian, Keli Zhang, Aimin Zhou, Fei Wu, Kun Kuang
2025 J jnl
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning.
CoRR
Ziyu Zhao, Yixiao Zhou, Didi Zhu, Tao Shen, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng
2025 J jnl
EduAgentQG: A Multi-Agent Workflow Framework for Personalized Question Generation.
CoRR
Rui Jia, Min Zhang, Fengrui Liu, Bo Jiang, Kun Kuang, Zhongxiang Dai
2025 J jnl
EduDial: Constructing a Large-scale Multi-turn Teacher-Student Dialogue Corpus.
CoRR
Shou'ang Wei, Min Zhang, Xin Lin, Bo Jiang, Zhongxiang Dai, Kun Kuang
2025 J jnl
Efficient Ensemble Conditional Independence Test Framework for Causal Discovery.
CoRR
Zhengkang Guan, Kun Kuang
2025 — conf
Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents.
ACL (1)
Tao Wu, Jingyuan Chen, Wang Lin, Mengze Li, Yumeng Zhu, Ang Li, Kun Kuang, Fei Wu
2025 J jnl
Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents.
CoRR
Tao Wu, Jingyuan Chen, Wang Lin, Mengze Li, Yumeng Zhu, Ang Li, Kun Kuang, Fei Wu
2025 — conf
Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond.
EMNLP (Findings)
Yinghao Hu, Yaoyao Yu, Leilei Gan, Bin Wei, Kun Kuang, Fei Wu
2025 J jnl
Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond.
CoRR
Yaoyao Yu, Leilei Gan, Yinghao Hu, Bin Wei, Kun Kuang, Fei Wu
2025 J jnl
FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets.
CoRR
Kairui Fu, Tao Zhang, Shuwen Xiao, Ziyang Wang, Xinming Zhang, Chenchi Zhang, Yuliang Yan, Junjun Zheng, Yu Li, Zhihong Chen, Jian Wu, Xiangheng Kong, Shengyu Zhang, Kun Kuang, Yu-Gang Jiang, Bo Zheng
2025 A* conf
FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning.
AAAI
Zhonghua Jiang, Jimin Xu, Shengyu Zhang, Tao Shen, Jiwei Li, Kun Kuang, Haibin Cai, Fei Wu
2025 J jnl
FedMcon: an adaptive aggregation method for federated learning via meta controller.
Frontiers Inf. Technol. Electron. Eng.
Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Kun Kuang, Shengyu Zhang, Chao Wu, Fei Wu
2025 B conf
Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering.
COLING
Yinghao Hu, Leilei Gan, Wenyi Xiao, Kun Kuang, Fei Wu
2025 J jnl
Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering.
CoRR
Yinghao Hu, Leilei Gan, Wenyi Xiao, Kun Kuang, Fei Wu
2025 — conf
Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation.
KDD (1)
Kairui Fu, Zheqi Lv, Shengyu Zhang, Fan Wu, Kun Kuang
2025 J jnl
Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation.
CoRR
Kairui Fu, Zheqi Lv, Shengyu Zhang, Fan Wu, Kun Kuang
2025 J jnl
General Information Metrics for Improving AI Model Training Efficiency.
CoRR
Jianfeng Xu, Congcong Liu, Xiaoying Tan, Xiaojie Zhu, Anpeng Wu, Huan Wan, Weijun Kong, Chun Li, Hu Xu, Kun Kuang, Fei Wu
2025 J jnl
General information metrics for improving AI model training efficiency.
Artif. Intell. Rev.
Jianfeng Xu, Congcong Liu, Xiaoying Tan, Xiaojie Zhu, Anpeng Wu, Huan Wan, Weijun Kong, Chun Li, Hu Xu, Kun Kuang, Fei Wu
2025 A* conf
Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments.
ICML
Baohong Li, Yingrong Wang, Anpeng Wu, Ming Ma, Ruoxuan Xiong, Kun Kuang
2025 J jnl
Instrumental Variables in Causal Inference and Machine Learning: A Survey.
ACM Comput. Surv.
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Fei Wu
2025 A* conf
Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data.
ICML
Yunze Tong, Fengda Zhang, Zihao Tang, Kaifeng Gao, Kai Huang, Pengfei Lyu, Jun Xiao, Kun Kuang
2025 J jnl
LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation.
CoRR
Weikang Yuan, Kaisong Song, Zhuoren Jiang, Junjie Cao, Yujie Zhang, Jun Lin, Kun Kuang, Ji Zhang, Xiaozhong Liu
2025 A* conf
Learning Causal Transition Matrix for Instance-dependent Label Noise.
AAAI
Jiahui Li, Tai-Wei Chang, Kun Kuang, Ximing Li, Long Chen, Jun Zhou
2025 J jnl
Learning double balancing representation for heterogeneous dose-response curve estimation.
Neural Networks
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Fei Wu, Kun Kuang
2025 — conf
Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator.
NAACL (Long Papers)
Chengyuan Liu, Shihang Wang, Lizhi Qing, Jun Lin, Ji Zhang, Fei Wu, Kun Kuang
2025 — conf
Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification.
NAACL (Long Papers)
Ang Li, Yiquan Wu, Ming Cai, Adam Jatowt, Xiang Zhou, Weiming Lu, Changlong Sun, Fei Wu, Kun Kuang
2025 A* conf
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts.
WWW
Jinluan Yang, Zhengyu Chen, Teng Xiao, Yong Lin, Wenqiao Zhang, Kun Kuang
2025 A* conf
MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities.
AAAI
Kunxi Li, Tianyu Zhan, Kairui Fu, Shengyu Zhang, Kun Kuang, Jiwei Li, Zhou Zhao, Fan Wu, Fei Wu
2025 J jnl
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging.
CoRR
Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang
2025 J jnl
Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders.
IEEE Trans. Knowl. Data Eng.
Ziyu Zhao, Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Zhihua Wang, Fei Wu
2025 — conf
OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use.
ACL (1)
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
2025 J jnl
OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use.
CoRR
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
2025 J jnl
OmniEduBench: A Comprehensive Chinese Benchmark for Evaluating Large Language Models in Education.
CoRR
Min Zhang, Hao Chen, Hao Chen, Wenqi Zhang, Didi Zhu, Xin Lin, Bo Jiang, Aimin Zhou, Fei Wu, Kun Kuang
2025 A* conf
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration.
AAAI
Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu
2025 J jnl
Optimize Incompatible Parameters through Compatibility-aware Knowledge Integration.
CoRR
Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu
2025 J jnl
Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction.
CoRR
Tao Wu, Jingyuan Chen, Wang Lin, Jian Zhan, Mengze Li, Kun Kuang, Fei Wu
2025 A* conf
RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution.
EMNLP
Jiahui Li, Lin Li, Tai-Wei Chang, Kun Kuang, Long Chen, Jun Zhou, Cheng Yang
2025 J jnl
ReTimeCausal: EM-Augmented Additive Noise Models for Interpretable Causal Discovery in Irregular Time Series.
CoRR
Weihong Li, Anpeng Wu, Kun Kuang, Keting Yin
2025 A* conf
Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation.
ICML
Minqin Zhu, Zexu Sun, Ruoxuan Xiong, Anpeng Wu, Baohong Li, Caizhi Tang, Jun Zhou, Fei Wu, Kun Kuang
2025 — conf
Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction.
ACL (Findings)
Yuting Huang, Chengyuan Liu, Yifeng Feng, Yiquan Wu, Chao Wu, Fei Wu, Kun Kuang
2025 J jnl
Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction.
CoRR
Yuting Huang, Chengyuan Liu, Yifeng Feng, Chao Wu, Fei Wu, Kun Kuang
2025 J jnl
RexUniNLU: Recursive Method With Explicit Schema Instructor for Universal Natural Language Understanding.
IEEE Trans. Knowl. Data Eng.
Chengyuan Liu, Shihang Wang, Yangyang Kang, Fubang Zhao, Kun Kuang, Weiming Lu, Changlong Sun, Fei Wu
2025 J jnl
Sequential Treatment Effect Estimation with Unmeasured Confounders.
CoRR
Yingrong Wang, Anpeng Wu, Baohong Li, Ziyang Xiao, Ruoxuan Xiong, Qing Han, Kun Kuang
2025 A* conf
Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing.
ACM Multimedia
Zheqi Lv, Wenqiao Zhang, Kairui Fu, Qi Tian, Shengyu Zhang, Jiajie Su, Jingyuan Chen, Kun Kuang, Fei Wu
2025 J jnl
Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing.
CoRR
Zheqi Lv, Wenqiao Zhang, Kairui Fu, Qi Tian, Shengyu Zhang, Jiajie Su, Jingyuan Chen, Kun Kuang, Fei Wu
2025 A* conf
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards.
CVPR
Zijing Hu, Fengda Zhang, Long Chen, Kun Kuang, Jiahui Li, Kaifeng Gao, Jun Xiao, Xin Wang, Wenwu Zhu
2025 J jnl
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards.
CoRR
Zijing Hu, Fengda Zhang, Long Chen, Kun Kuang, Jiahui Li, Kaifeng Gao, Jun Xiao, Xin Wang, Wenwu Zhu
2025 J jnl
Towards Stepwise Domain Knowledge-Driven Reasoning Optimization and Reflection Improvement.
CoRR
Chengyuan Liu, Shihang Wang, Lizhi Qing, Kaisong Song, Junjie Cao, Jun Lin, Ji Zhang, Ang Li, Kun Kuang, Fei Wu
2025 J jnl
UCO: A Multi-Turn Interactive Reinforcement Learning Method for Adaptive Teaching with Large Language Models.
CoRR
Shou'ang Wei, Min Zhang, Xin Lin, Bo Jiang, Kun Kuang, Zhongxiang Dai
2025 — conf
UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever.
ACL (1)
Ang Li, Yiquan Wu, Yifei Liu, Ming Cai, Lizhi Qing, Shihang Wang, Yangyang Kang, Chengyuan Liu, Fei Wu, Kun Kuang
2025 J jnl
Unifying Adversarial Perturbation for Graph Neural Networks.
CoRR
Jinluan Yang, Ruihao Zhang, Zhengyu Chen, Fei Wu, Kun Kuang
2025 C conf
Universal Legal Article Prediction via Tight Collaboration between Supervised Classification Model and LLM.
ICAIL
Xiao Chi, Wenlin Zhong, Yiquan Wu, Wei Wang, Kun Kuang, Fei Wu, Minghui Xiong
2025 J jnl
Universal Legal Article Prediction via Tight Collaboration between Supervised Classification Model and LLM.
CoRR
Xiao Chi, Wenlin Zhong, Yiquan Wu, Wei Wang, Kun Kuang, Fei Wu, Minghui Xiong
2025 J jnl
Unraveling and Mitigating Endogenous Task-oriented Spurious Correlations in Ego-graphs via Automated Counterfactual Contrastive Learning.
Expert Syst. Appl.
Tianqianjin Lin, Yangyang Kang, Zhuoren Jiang, Kaisong Song, Kun Kuang, Changlong Sun, Cui Huang, Xiaozhong Liu
2024 A* conf
A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective.
ICML
Baohong Li, Haoxuan Li, Anpeng Wu, Minqin Zhu, Shiyuan Peng, Qingyu Cao, Kun Kuang
2024 — conf
An Adaptive Aggregation Method for Federated Learning via Meta Controller.
MMAsia Workshops
Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Shengyu Zhang, Kun Kuang, Fei Wu
2024 A* conf
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation.
ICLR
Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang
2024 J jnl
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation.
CoRR
Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang
2024 A* conf
CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation.
AAAI
Junao Shen, Kun Kuang, Jiaheng Wang, Xinyu Wang, Tian Feng, Wei Zhang
2024 J jnl
Causal Agent based on Large Language Model.
CoRR
Kairong Han, Kun Kuang, Ziyu Zhao, Junjian Ye, Fei Wu
2024 J jnl
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems.
CoRR
Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu
2024 J jnl
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems.
IEEE Trans. Knowl. Data Eng.
Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu
2024 J jnl
Causal Inference with Complex Treatments: A Survey.
CoRR
Yingrong Wang, Haoxuan Li, Minqin Zhu, Anpeng Wu, Ruoxuan Xiong, Fei Wu, Kun Kuang
2024 J jnl
Causality for Large Language Models.
CoRR
Anpeng Wu, Kun Kuang, Minqin Zhu, Yingrong Wang, Yujia Zheng, Kairong Han, Baohong Li, Guangyi Chen, Fei Wu, Kun Zhang
2024 J jnl
Causality-Guided Stepwise Intervention and Reweighting for Remote Sensing Image Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Shuting Shi, Baohong Li, Laifu Zhang, Kun Kuang, Sensen Wu, Tian Feng, Yiming Yan, Zhenhong Du
2024 — conf
Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning.
ACL (Findings)
Yiquan Wu, Anlai Zhou, Yuhang Liu, Yifei Liu, Adam Jatowt, Weiming Lu, Jun Xiao, Kun Kuang
2024 A* conf
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation.
AAAI
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
2024 J jnl
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation.
CoRR
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
2024 A* conf
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation.
AAAI
Kexin Li, Chengjiang Long, Shengyu Zhang, Xudong Tang, Zhichao Zhai, Kun Kuang, Jun Xiao
2024 A* conf
De-biased Attention Supervision for Text Classification with Causality.
AAAI
Yiquan Wu, Yifei Liu, Ziyu Zhao, Weiming Lu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang
2024 J jnl
Debiased Graph Neural Networks With Agnostic Label Selection Bias.
IEEE Trans. Neural Networks Learn. Syst.
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
2024 J jnl
Debiasing Machine Unlearning with Counterfactual Examples.
CoRR
Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, Kun Kuang, Xin Ning, Gabriele Tolomei
2024 J jnl
Deconfounded hierarchical multi-granularity classification.
Comput. Vis. Image Underst.
Ziyu Zhao, Leilei Gan, Tao Shen, Kun Kuang, Fei Wu
2024 J jnl
Discovering Invariant Neighborhood Patterns for Heterophilic Graphs.
CoRR
Ruihao Zhang, Zhengyu Chen, Teng Xiao, Yueyang Wang, Kun Kuang
2024 A* conf
Distributionally Generative Augmentation for Fair Facial Attribute Classification.
CVPR
Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang
2024 J jnl
Distributionally Generative Augmentation for Fair Facial Attribute Classification.
CoRR
Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang
2024 Misc conf
Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data.
ICASSP
Qiaowei Miao, Junkun Yuan, Shengyu Zhang, Fei Wu, Kun Kuang
2024 J jnl
Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence.
CoRR
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
2024 — conf
Enhancing Court View Generation with Knowledge Injection and Guidance.
LREC/COLING
Ang Li, Yiquan Wu, Yifei Liu, Kun Kuang, Fei Wu, Ming Cai
2024 J jnl
Enhancing Court View Generation with Knowledge Injection and Guidance.
CoRR
Ang Li, Yiquan Wu, Yifei Liu, Fei Wu, Ming Cai, Kun Kuang
2024 — conf
Evolving Knowledge Distillation with Large Language Models and Active Learning.
LREC/COLING
Chengyuan Liu, Fubang Zhao, Kun Kuang, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Fei Wu
2024 J jnl
Evolving Knowledge Distillation with Large Language Models and Active Learning.
CoRR
Chengyuan Liu, Yangyang Kang, Fubang Zhao, Kun Kuang, Zhuoren Jiang, Changlong Sun, Fei Wu
2024 J jnl
FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning.
CoRR
Zhonghua Jiang, Jimin Xu, Shengyu Zhang, Tao Shen, Jiwei Li, Kun Kuang, Haibin Cai, Fei Wu
2024 — conf
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction.
LREC/COLING
Ang Li, Qiangchao Chen, Yiquan Wu, Xiang Zhou, Kun Kuang, Fei Wu, Ming Cai
2024 J jnl
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction.
CoRR
Ang Li, Qiangchao Chen, Yiquan Wu, Ming Cai, Xiang Zhou, Fei Wu, Kun Kuang
2024 J jnl
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression.
CoRR
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Xiangwei Chen, Zexu Sun, Fei Wu, Kun Zhang
2024 A* conf
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs.
EMNLP
Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu
2024 J jnl
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs.
CoRR
Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu
2024 J jnl
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling.
CoRR
Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou
2024 A* conf
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.
ICML
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
2024 J jnl
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.
CoRR
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
2024 J jnl
IntOPE: Off-Policy Evaluation in the Presence of Interference.
CoRR
Yuqi Bai, Ziyu Zhao, Minqin Zhu, Kun Kuang
2024 A* conf
Intelligent Model Update Strategy for Sequential Recommendation.
WWW
Zheqi Lv, Wenqiao Zhang, Zhengyu Chen, Shengyu Zhang, Kun Kuang
2024 J jnl
LK-IB: a hybrid framework with legal knowledge injection for compulsory measure prediction.
Artif. Intell. Law
Xiang Zhou, Qi Liu, Yiquan Wu, Qiangchao Chen, Kun Kuang
2024 — conf
Latent Learningscape Guided In-context Learning.
ACL (Findings)
Anlai Zhou, Sunshine Jiang, Yifei Liu, Yiquan Wu, Kun Kuang, Jun Xiao
2024 A* conf
Learning Causal Relations from Subsampled Time Series with Two Time-Slices.
ICML
Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu
2024 J jnl
Learning Causal Transition Matrix for Instance-dependent Label Noise.
CoRR
Jiahui Li, Tai-Wei Chang, Kun Kuang, Ximing Li, Long Chen, Jun Zhou
2024 J jnl
Learning Individual Treatment Effects under Heterogeneous Interference in Networks.
ACM Trans. Knowl. Discov. Data
Ziyu Zhao, Yuqi Bai, Ruoxuan Xiong, Qingyu Cao, Chao Ma, Ning Jiang, Fei Wu, Kun Kuang
2024 A* conf
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias.
ICML
Baohong Li, Haoxuan Li, Ruoxuan Xiong, Anpeng Wu, Fei Wu, Kun Kuang
2024 A* conf
Learning to Reweight for Generalizable Graph Neural Network.
AAAI
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
2024 J jnl
Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator.
CoRR
Chengyuan Liu, Shihang Wang, Lizhi Qing, Jun Lin, Ji Zhang, Fei Wu, Kun Kuang
2024 J jnl
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts.
CoRR
Jinluan Yang, Zhengyu Chen, Teng Xiao, Wenqiao Zhang, Yong Lin, Kun Kuang
2024 J jnl
Leveraging Print Debugging to Improve Code Generation in Large Language Models.
CoRR
Xueyu Hu, Kun Kuang, Jiankai Sun, Hongxia Yang, Fei Wu
2024 — conf
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.
ACL (Findings)
Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
2024 J jnl
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.
CoRR
Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
2024 J jnl
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities.
CoRR
Kunxi Li, Tianyu Zhan, Shengyu Zhang, Kun Kuang, Jiwei Li, Zhou Zhao, Fei Wu
2024 J jnl
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.
CoRR
Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Kun Kuang, Fei Wu
2024 A* conf
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation.
ICLR
Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang
2024 J jnl
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation.
CoRR
Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang
2024 A* conf
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models.
ICML
Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Chao Wu, Kun Kuang
2024 J jnl
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models.
CoRR
Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Kun Kuang, Chao Wu
2024 J jnl
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation.
CoRR
Zihao Tang, Zheqi Lv, Shengyu Zhang, Fei Wu, Kun Kuang
2024 A* conf
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs.
EMNLP
Chengyuan Liu, Yangyang Kang, Shihang Wang, Lizhi Qing, Fubang Zhao, Chao Wu, Changlong Sun, Kun Kuang, Fei Wu
2024 J jnl
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs.
CoRR
Chengyuan Liu, Shihang Wang, Yangyang Kang, Lizhi Qing, Fubang Zhao, Changlong Sun, Kun Kuang, Fei Wu
2024 A* conf
Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models.
KDD
Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu
2024 A* conf
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning.
EMNLP
Jiahui Li, Hanlin Zhang, Fengda Zhang, Tai-Wei Chang, Kun Kuang, Long Chen, Jun Zhou
2024 J jnl
Out-of-Distribution Generalization With Causal Feature Separation.
IEEE Trans. Knowl. Data Eng.
Haotian Wang, Kun Kuang, Long Lan, Zige Wang, Wanrong Huang, Fei Wu, Wenjing Yang
2024 J jnl
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects.
CoRR
Yingrong Wang, Anpeng Wu, Haoxuan Li, Weiming Liu, Qiaowei Miao, Ruoxuan Xiong, Fei Wu, Kun Kuang
2024 J jnl
R3HF: Reward Redistribution for Enhancing Reinforcement Learning from Human Feedback.
CoRR
Jiahui Li, Tai-Wei Chang, Fengda Zhang, Kun Kuang, Long Chen
2024 J jnl
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning.
CoRR
Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, Hongxia Yang, Kun Kuang, Fei Wu
2024 J jnl
RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU.
CoRR
Chengyuan Liu, Shihang Wang, Fubang Zhao, Kun Kuang, Yangyang Kang, Weiming Lu, Changlong Sun, Fei Wu
2024 J jnl
SLED: Structure Learning based Denoising for Recommendation.
ACM Trans. Inf. Syst.
Shengyu Zhang, Tan Jiang, Kun Kuang, Fuli Feng, Jin Yu, Jianxin Ma, Zhou Zhao, Jianke Zhu, Hongxia Yang, Tat-Seng Chua, Fei Wu
2024 A* conf
Semantic Alignment for Multimodal Large Language Models.
ACM Multimedia
Tao Wu, Mengze Li, Jingyuan Chen, Wei Ji, Wang Lin, Jinyang Gao, Kun Kuang, Zhou Zhao, Fei Wu
2024 J jnl
Semantic Alignment for Multimodal Large Language Models.
CoRR
Tao Wu, Mengze Li, Jingyuan Chen, Wei Ji, Wang Lin, Jinyang Gao, Kun Kuang, Zhou Zhao, Fei Wu
2024 J jnl
Simulating doctors' thinking logic for chest X-ray report generation via Transformer-based Semantic Query learning.
Medical Image Anal.
Danyang Gao, Ming Kong, Yongrui Zhao, Jing Huang, Zhengxing Huang, Kun Kuang, Fei Wu, Qiang Zhu
2024 A* conf
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations.
ICDE
Yuling Zhang, Anpeng Wu, Kun Kuang, Liang Du, Zixun Sun, Zhi Wang
2024 J jnl
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations.
CoRR
Yuling Zhang, Anpeng Wu, Kun Kuang, Liang Du, Zixun Sun, Zhi Wang
2024 J jnl
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation.
ACM Trans. Inf. Syst.
Shengyu Zhang, Qiaowei Miao, Ping Nie, Mengze Li, Zhengyu Chen, Fuli Feng, Kun Kuang, Fei Wu
2024 A* conf
Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias.
ICML
Baohong Li, Anpeng Wu, Ruoxuan Xiong, Kun Kuang
2024 J jnl
Unified fair federated learning for digital healthcare.
Patterns
Fengda Zhang, Zitao Shuai, Kun Kuang, Fei Wu, Yueting Zhuang, Jun Xiao
2024 J jnl
Unleash the Power of Inconsistency-Based Semi-Supervised Active Learning by Dynamic Programming of Curriculum Learning.
IEEE Trans. Knowl. Data Eng.
Jiannan Guo, Yangyang Kang, Xiaolin Li, Wenqiao Zhang, Kun Kuang, Changlong Sun, Siliang Tang, Fei Wu
2024 — conf
Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge.
NAACL-HLT (Findings)
Yifei Liu, Yiquan Wu, Ang Li, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang
2024 J jnl
Unlocking authentic judicial reasoning: A Template-Based Legal Information Generation framework for judicial views.
Knowl. Based Syst.
Xiang Zhou, Yudong Wu, Ang Li, Ming Cai, Yiquan Wu, Kun Kuang
2024 A* conf
Xinyu: An Efficient LLM-based System for Commentary Generation.
KDD
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
2024 J jnl
Xinyu: An Efficient LLM-based System for Commentary Generation.
CoRR
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
2024 A* conf
Your Neighbor Matters: Towards Fair Decisions Under Networked Interference.
KDD
Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui
2023 J jnl
A Chinese Prompt Attack Dataset for LLMs with Evil Content.
CoRR
Chengyuan Liu, Fubang Zhao, Lizhi Qing, Yangyang Kang, Changlong Sun, Kun Kuang, Fei Wu
2023 A conf
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning.
AAMAS
Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu
2023 J jnl
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning.
CoRR
Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu
2023 J jnl
Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance.
CoRR
Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu
2023 B conf
CLAP: Contrastive Language-Audio Pre-training Model for Multi-modal Sentiment Analysis.
ICMR
Tianqi Zhao, Ming Kong, Tian Liang, Qiang Zhu, Kun Kuang, Fei Wu
2023 — conf
Causal Inspired Trustworthy Machine Learning.
ACM TUR-C
Kun Kuang
2023 A* conf
Causal Structure Learning for Latent Intervened Non-stationary Data.
ICML
Chenxi Liu, Kun Kuang
2023 J jnl
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization.
IEEE Trans. Knowl. Data Eng.
Junkun Yuan, Xu Ma, Defang Chen, Fei Wu, Lanfen Lin, Kun Kuang
2023 A* conf
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization.
WWW
Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu
2023 J jnl
Differentiated matching for individual and average treatment effect estimation.
Data Min. Knowl. Discov.
Ziyu Zhao, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu
2023 J jnl
Distributionally Robust Learning With Stable Adversarial Training.
IEEE Trans. Knowl. Data Eng.
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
2023 J jnl
Domain-Specific Bias Filtering for Single Labeled Domain Generalization.
Int. J. Comput. Vis.
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2023 J jnl
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI.
IEEE Trans. Knowl. Data Eng.
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
2023 — conf
End-to-End Optimization of Quantization-Based Structure Learning and Interventional Next-Item Recommendation.
CICAI (1)
Kairui Fu, Qiaowei Miao, Shengyu Zhang, Kun Kuang, Fei Wu
2023 — conf
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction.
EMNLP (Findings)
Leilei Gan, Baokui Li, Kun Kuang, Yating Zhang, Lei Wang, Anh Tuan Luu, Yi Yang, Fei Wu
2023 — conf
FairDR: Ensuring Fairness in Mixed Data of Fairly and Unfairly Treated Instances.
CICAI (2)
Yuxuan Liu, Kun Kuang, Fengda Zhang, Fei Wu
2023 A* conf
Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes.
ICLR
Fengda Zhang, Kun Kuang, Long Chen, Yuxuan Liu, Chao Wu, Jun Xiao
2023 J jnl
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.
Frontiers Inf. Technol. Electron. Eng.
Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu
2023 J jnl
Federated unsupervised representation learning.
Frontiers Inf. Technol. Electron. Eng.
Fengda Zhang, Kun Kuang, Long Chen, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Fei Wu, Yueting Zhuang, Xiaolin Li
2023 — conf
Focus-aware Response Generation in Inquiry Conversation.
ACL (Findings)
Yiquan Wu, Weiming Lu, Yating Zhang, Adam Jatowt, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang
2023 A* conf
Generalized Universal Domain Adaptation with Generative Flow Networks.
ACM Multimedia
Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
2023 J jnl
Generalized Universal Domain Adaptation with Generative Flow Networks.
CoRR
Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
2023 A* conf
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling.
WWW
Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou
2023 A* conf
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception.
NeurIPS
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
2023 J jnl
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception.
CoRR
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
2023 J jnl
Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series.
CoRR
Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu
2023 J jnl
IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System.
CoRR
Zheqi Lv, Zhengyu Chen, Shengyu Zhang, Kun Kuang, Wenqiao Zhang, Mengze Li, Beng Chin Ooi, Fei Wu
2023 J jnl
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders.
ACM Trans. Knowl. Discov. Data
Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang
2023 A* conf
Learning Chemical Rules of Retrosynthesis with Pre-training.
AAAI
Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang, Zhihua Wang
2023 J jnl
Learning Decomposed Representations for Treatment Effect Estimation.
IEEE Trans. Knowl. Data Eng.
Anpeng Wu, Junkun Yuan, Kun Kuang, Bo Li, Runze Wu, Qiang Zhu, Yueting Zhuang, Fei Wu
2023 A* conf
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation.
AAAI
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
2023 A* conf
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning.
AAAI
Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang
2023 J jnl
Learning to Reweight for Graph Neural Network.
CoRR
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
2023 A* conf
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters.
ICCV
Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang
2023 J jnl
MEDOE: A Multi-Expert Decoder and Output Ensemble Framework for Long-tailed Semantic Segmentation.
CoRR
Junao Shen, Long Chen, Kun Kuang, Fei Wu, Tian Feng, Wei Zhang
2023 A* conf
ML-LJP: Multi-Law Aware Legal Judgment Prediction.
SIGIR
Yifei Liu, Yiquan Wu, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang
2023 — conf
Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation.
CICAI (1)
Zheqi Lv, Feng Wang, Shengyu Zhang, Wenqiao Zhang, Kun Kuang, Fei Wu
2023 J jnl
Personalized Latent Structure Learning for Recommendation.
IEEE Trans. Pattern Anal. Mach. Intell.
Shengyu Zhang, Fuli Feng, Kun Kuang, Wenqiao Zhang, Zhou Zhao, Hongxia Yang, Tat-Seng Chua, Fei Wu
2023 A* conf
Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration.
EMNLP
Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang
2023 J jnl
Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration.
CoRR
Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang
2023 — conf
Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision.
CDPD
Thuc Duy Le, Jiuyong Li, Robert Osazuwa Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
2023 A* conf
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization.
KDD
Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang
2023 J jnl
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization.
CoRR
Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang
2023 — conf
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction.
EMNLP (Findings)
Chengyuan Liu, Fubang Zhao, Yangyang Kang, Jingyuan Zhang, Xiang Zhou, Changlong Sun, Kun Kuang, Fei Wu
2023 J jnl
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction.
CoRR
Chengyuan Liu, Fubang Zhao, Yangyang Kang, Jingyuan Zhang, Xiang Zhou, Changlong Sun, Fei Wu, Kun Kuang
2023 A* conf
Stable Estimation of Heterogeneous Treatment Effects.
ICML
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu
2023 J jnl
Stable Prediction With Leveraging Seed Variable.
IEEE Trans. Knowl. Data Eng.
Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li
2023 — conf
Stable Prediction on Graphs with Agnostic Distribution Shifts.
CDPD
Shengyu Zhang, Yunze Tong, Kun Kuang, Fuli Feng, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu
2023 — ed.
The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA
CDPD
Thuc Duy Le, Jiuyong Li, Robert Osazuwa Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
2023 A* conf
Treatment Effect Estimation with Adjustment Feature Selection.
KDD
Haotian Wang, Kun Kuang, Haoang Chi, Longqi Yang, Mingyang Geng, Wanrong Huang, Wenjing Yang
2023 A* conf
Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning.
NeurIPS
Jiahui Li, Kun Kuang, Baoxiang Wang, Xingchen Li, Fei Wu, Jun Xiao, Long Chen
2023 A* conf
Universal Domain Adaptation via Compressive Attention Matching.
ICCV
Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu
2023 J jnl
Universal Domain Adaptation via Compressive Attention Matching.
CoRR
Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu
2023 A* conf
Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation.
KDD
Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui
2022 J jnl
A full-process intelligent trial system for smart court.
Frontiers Inf. Technol. Electron. Eng.
Bin Wei, Kun Kuang, Changlong Sun, Jun Feng, Yating Zhang, Xinli Zhu, Jianghong Zhou, Yinsheng Zhai, Fei Wu
2022 J jnl
Attribute-aware interpretation learning for thyroid ultrasound diagnosis.
Artif. Intell. Medicine
Ming Kong, Qing Guo, Shuowen Zhou, Mengze Li, Kun Kuang, Zhengxing Huang, Fei Wu, Xiaohong Chen, Qiang Zhu
2022 J jnl
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition.
ACM Trans. Knowl. Discov. Data
Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin
2022 A* conf
BA-GNN: On Learning Bias-Aware Graph Neural Network.
ICDE
Zhengyu Chen, Teng Xiao, Kun Kuang
2022 J jnl
Balance-Subsampled Stable Prediction Across Unknown Test Data.
ACM Trans. Knowl. Discov. Data
Kun Kuang, Hengtao Zhang, Runze Wu, Fei Wu, Yueting Zhuang, Aijun Zhang
2022 A* conf
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning.
KDD
Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu
2022 J jnl
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning.
CoRR
Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu
2022 J jnl
Confounder Balancing for Instrumental Variable Regression with Latent Variable.
CoRR
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu
2022 A* conf
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder.
NeurIPS
Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu
2022 J jnl
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder.
CoRR
Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu
2022 — conf
Connecting Patients with Pre-diagnosis: A Multiple Graph Regularized Method for Mental Disorder Diagnosis.
CICAI (2)
Tianqi Zhao, Ming Kong, Kun Kuang, Zhengxing Huang, Qiang Zhu, Fei Wu
2022 J jnl
Data-Driven Variable Decomposition for Treatment Effect Estimation.
IEEE Trans. Knowl. Data Eng.
Kun Kuang, Peng Cui, Hao Zou, Bo Li, Jianrong Tao, Fei Wu, Shiqiang Yang
2022 J jnl
Debiased Graph Neural Networks with Agnostic Label Selection Bias.
CoRR
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
2022 A* conf
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning.
ICML
Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Changjie Fan, Fei Wu, Jun Xiao
2022 — conf
Dependency Parsing as MRC-based Span-Span Prediction.
ACL (1)
Leilei Gan, Yuxian Meng, Kun Kuang, Xiaofei Sun, Chun Fan, Fei Wu, Jiwei Li
2022 B conf
Disentangled Sequential Autoencoder with Local Consistency for Infectious Keratitis Diagnosis.
ICIP
Yuxuan Si, Zhengqing Fang, Kun Kuang, Zhengxing Huang, Yu-Feng Yao, Fei Wu
2022 J jnl
Domain Generalization via Contrastive Causal Learning.
CoRR
Qiaowei Miao, Junkun Yuan, Kun Kuang
2022 A* conf
Estimating Individualized Causal Effect with Confounded Instruments.
KDD
Haotian Wang, Wenjing Yang, Longqi Yang, Anpeng Wu, Liyang Xu, Jing Ren, Fei Wu, Kun Kuang
2022 J jnl
Exploiting Contrastive Learning and Numerical Evidence for Improving Confusing Legal Judgment Prediction.
CoRR
Leilei Gan, Baokui Li, Kun Kuang, Yi Yang, Fei Wu
2022 A* conf
GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy.
NeurIPS
Yemin Yu, Ying Wei, Kun Kuang, Zhengxing Huang, Huaxiu Yao, Fei Wu
2022 A* conf
Instrumental Variable Regression with Confounder Balancing.
ICML
Anpeng Wu, Kun Kuang, Bo Li, Fei Wu
2022 J jnl
Instrumental Variables in Causal Inference and Machine Learning: A Survey.
CoRR
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Fei Wu
2022 A* conf
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples.
EMNLP
Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu
2022 J jnl
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples.
CoRR
Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu
2022 A* conf
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization.
ACM Multimedia
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2022 J jnl
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization.
CoRR
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2022 J jnl
Learning From Good Trajectories in Offline Multi-Agent Reinforcement Learning.
CoRR
Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang
2022 J jnl
Learning Individual Treatment Effects under Heterogeneous Interference in Networks.
CoRR
Ziyu Zhao, Kun Kuang, Ruoxuan Xiong, Fei Wu
2022 J jnl
MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization.
CoRR
Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Fei Wu
2022 — conf
Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation.
CICAI (2)
Yemin Yu, Kun Kuang, Jiangchao Yang, Zeke Wang, Kunyang Jia, Weiming Lu, Hongxia Yang, Fei Wu
2022 J jnl
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling.
CoRR
Zheqi Lv, Feng Wang, Shengyu Zhang, Kun Kuang, Hongxia Yang, Fei Wu
2022 A* conf
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?
KDD
Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu
2022 J jnl
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?
CoRR
Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu
2022 — conf
Similar Case Based Prison Term Prediction.
CICAI (3)
Siying Zhou, Yifei Liu, Yiquan Wu, Kun Kuang, Chunyan Zheng, Fei Wu
2022 A* conf
The Role of Deconfounding in Meta-learning.
ICML
Yinjie Jiang, Zhengyu Chen, Kun Kuang, Luotian Yuan, Xinhai Ye, Zhihua Wang, Fei Wu, Ying Wei
2022 A* conf
Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework.
EMNLP
Yiquan Wu, Yifei Liu, Weiming Lu, Yating Zhang, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang
2022 — conf
TranSQ: Transformer-Based Semantic Query for Medical Report Generation.
MICCAI (8)
Ming Kong, Zhengxing Huang, Kun Kuang, Qiang Zhu, Fei Wu
2022 J jnl
Treatment Effect Estimation with Unmeasured Confounders in Data Fusion.
CoRR
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
2022 A conf
Uncovering Causal Effects of Online Short Videos on Consumer Behaviors.
WSDM
Ziqi Tan, Shengyu Zhang, Nuanxin Hong, Kun Kuang, Yifan Yu, Jin Yu, Zhou Zhao, Hongxia Yang, Shiyuan Pan, Jingren Zhou, Fei Wu
2021 A* conf
Analysis and Applications of Class-wise Robustness in Adversarial Training.
KDD
Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang
2021 J jnl
Analysis and Applications of Class-wise Robustness in Adversarial Training.
CoRR
Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang
2021 J jnl
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition.
CoRR
Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin
2021 J jnl
BertGCN: Transductive Text Classification by Combining GCN and BERT.
CoRR
Yuxiao Lin, Yuxian Meng, Xiaofei Sun, Qinghong Han, Kun Kuang, Jiwei Li, Fei Wu
2021 — conf
BertGCN: Transductive Text Classification by Combining GNN and BERT.
ACL/IJCNLP (Findings)
Yuxiao Lin, Yuxian Meng, Xiaofei Sun, Qinghong Han, Kun Kuang, Jiwei Li, Fei Wu
2021 J jnl
Continuous treatment effect estimation via generative adversarial de-confounding.
Data Min. Knowl. Discov.
Kun Kuang, Yunzhe Li, Bo Li, Peng Cui, Hongxia Yang, Jianrong Tao, Fei Wu
2021 — conf
DeVLBert: Out-of-Distribution Visio-Linguistic Pretraining With Causality.
CVPR Workshops
Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu
2021 J jnl
Dependency Parsing as MRC-based Span-Span Prediction.
CoRR
Leilei Gan, Yuxian Meng, Kun Kuang, Xiaofei Sun, Chun Fan, Fei Wu, Jiwei Li
2021 J jnl
Dialogue Inspectional Summarization with Factual Inconsistency Awareness.
CoRR
Leilei Gan, Yating Zhang, Kun Kuang, Lin Yuan, Shuo Li, Changlong Sun, Xiaozhong Liu, Fei Wu
2021 J jnl
Distributionally Robust Learning with Stable Adversarial Training.
CoRR
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
2021 J jnl
Do We Need to Directly Access the Source Datasets for Domain Generalization?
CoRR
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2021 J jnl
Domain-Specific Bias Filtering for Single Labeled Domain Generalization.
CoRR
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2021 J jnl
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey.
CoRR
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
2021 — conf
Estimating Treatment Effect via Differentiated Confounder Matching.
CICAI
Ziyu Zhao, Kun Kuang, Fei Wu
2021 A* conf
Explainable Automated Graph Representation Learning with Hyperparameter Importance.
ICML
Xin Wang, Shuyi Fan, Kun Kuang, Wenwu Zhu
2021 — conf
Grounded, Controllable and Debiased Image Completion With Lexical Semantics.
CVPR Workshops
Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Kun Kuang, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu
2021 A* conf
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation.
ACM Multimedia
Jiahui Li, Kun Kuang, Lin Li, Long Chen, Songyang Zhang, Jian Shao, Jun Xiao
2021 J jnl
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation.
CoRR
Jiahui Li, Kun Kuang, Lin Li, Long Chen, Songyang Zhang, Jian Shao, Jun Xiao
2021 A* conf
Judgment Prediction via Injecting Legal Knowledge into Neural Networks.
AAAI
Leilei Gan, Kun Kuang, Yi Yang, Fei Wu
2021 J jnl
Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization.
CoRR
Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin
2021 — conf
MGD-GAN: Text-to-Pedestrian Generation Through Multi-grained Discrimination.
PRCV (2)
Shengyu Zhang, Donghui Wang, Zhou Zhao, Siliang Tang, Kun Kuang, Di Xie, Fei Wu
2021 J jnl
Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth.
CoRR
Qi Tian, Kun Kuang, Baoxiang Wang, Furui Liu, Fei Wu
2021 A* conf
Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels.
ICCV
Jiannan Guo, Haochen Shi, Yangyang Kang, Kun Kuang, Siliang Tang, Zhuoren Jiang, Changlong Sun, Fei Wu, Yueting Zhuang
2021 A* conf
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning.
KDD
Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao
2021 J jnl
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning.
CoRR
Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao
2021 A* conf
Stable Adversarial Learning under Distributional Shifts.
AAAI
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
2021 J jnl
Stable Prediction on Graphs with Agnostic Distribution Shift.
CoRR
Shengyu Zhang, Kun Kuang, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu
2021 J jnl
Unified Group Fairness on Federated Learning.
CoRR
Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao
2020 A* conf
Algorithmic Decision Making with Conditional Fairness.
KDD
Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
2020 J jnl
Algorithmic Decision Making with Conditional Fairness.
CoRR
Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui
2020 J jnl
Balance-Subsampled Stable Prediction.
CoRR
Kun Kuang, Hengtao Zhang, Fei Wu, Yueting Zhuang, Aijun Zhang
2020 A* conf
Comprehensive Information Integration Modeling Framework for Video Titling.
KDD
Shengyu Zhang, Ziqi Tan, Zhou Zhao, Jin Yu, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu
2020 J jnl
Comprehensive Information Integration Modeling Framework for Video Titling.
CoRR
Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu
2020 A* conf
Concept-based Explanation for Fine-grained Images and Its Application in Infectious Keratitis Classification.
ACM Multimedia
Zhengqing Fang, Kun Kuang, Yuxiao Lin, Fei Wu, Yu-Feng Yao
2020 — conf
Continuous Treatment Effect Estimation via Generative Adversarial De-confounding.
CD@KDD
Yunzhe Li, Kun Kuang, Bo Li, Peng Cui, Jianrong Tao, Hongxia Yang, Fei Wu
2020 — conf
De-Biased Court's View Generation with Causality.
EMNLP (1)
Yiquan Wu, Kun Kuang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Jun Xiao, Yueting Zhuang, Luo Si, Fei Wu
2020 A* conf
DeVLBert: Learning Deconfounded Visio-Linguistic Representations.
ACM Multimedia
Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu
2020 J jnl
DeVLBert: Learning Deconfounded Visio-Linguistic Representations.
CoRR
Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu
2020 A* conf
Decorrelated Clustering with Data Selection Bias.
IJCAI
Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
2020 J jnl
Decorrelated Clustering with Data Selection Bias.
CoRR
Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
2020 J jnl
Federated Unsupervised Representation Learning.
CoRR
Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li
2020 — conf
IB-M: A Flexible Framework to Align an Interpretable Model and a Black-box Model.
BIBM
Mengze Li, Kun Kuang, Qiang Zhu, Xiaohong Chen, Qing Guo, Fei Wu
2020 J jnl
Interventional Domain Adaptation.
CoRR
Jun Wen, Changjian Shui, Kun Kuang, Junsong Yuan, Zenan Huang, Zhefeng Gong, Nenggan Zheng
2020 J jnl
Invariant Adversarial Learning for Distributional Robustness.
CoRR
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin
2020 J jnl
Learning Decomposed Representation for Counterfactual Inference.
CoRR
Anpeng Wu, Kun Kuang, Junkun Yuan, Bo Li, Pan Zhou, Jianrong Tao, Qiang Zhu, Yueting Zhuang, Fei Wu
2020 A conf
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction.
CIKM
Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou
2020 J jnl
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction.
CoRR
Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou
2020 J jnl
Machine knowledge and human cognition.
Big Data Min. Anal.
Fashen Li, Lian Li, Jianping Yin, Liang Huang, Qingguo Zhou, Ning An, Yong Zhang, Li Liu, Jialin Zhang, Kun Kuang, Lei Yang, Zhixi Wu, Lianchun Yu
2020 A* conf
Poet: Product-oriented Video Captioner for E-commerce.
ACM Multimedia
Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Jie Liu, Jingren Zhou, Hongxia Yang, Fei Wu
2020 J jnl
Poet: Product-oriented Video Captioner for E-commerce.
CoRR
Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Jie Liu, Jingren Zhou, Hongxia Yang, Fei Wu
2020 A* conf
Stable Learning via Sample Reweighting.
AAAI
Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang
2020 J jnl
Stable Prediction via Leveraging Seed Variable.
CoRR
Kun Kuang, Bo Li, Peng Cui, Yue Liu, Jianrong Tao, Yueting Zhuang, Fei Wu
2020 A* conf
Stable Prediction with Model Misspecification and Agnostic Distribution Shift.
AAAI
Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2020 J jnl
Stable Prediction with Model Misspecification and Agnostic Distribution Shift.
CoRR
Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2020 J jnl
Treatment Effect Estimation via Differentiated Confounder Balancing and Regression.
ACM Trans. Knowl. Discov. Data
Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Yashen Wang, Fei Wu, Shiqiang Yang
2019 — conf
Causation-Driven Visualizations for Insurance Recommendation.
ICME Workshops
Zhixiu Liu, Chengxi Zang, Kun Kuang, Hao Zou, Hu Zheng, Peng Cui
2019 A* conf
Disentangled Graph Convolutional Networks.
ICML
Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, Wenwu Zhu
2019 A* conf
Focused Context Balancing for Robust Offline Policy Evaluation.
KDD
Hao Zou, Kun Kuang, Boqi Chen, Peixuan Chen, Peng Cui
2019 J jnl
Stable Learning via Sample Reweighting.
CoRR
Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang
2018 A* conf
Causally Regularized Learning with Agnostic Data Selection Bias.
ACM Multimedia
Zheyan Shen, Peng Cui, Kun Kuang, Bo Li, Peixuan Chen
2018 J jnl
Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach.
IEEE Trans. Big Data
Kun Kuang, Meng Jiang, Peng Cui, Hengliang Luo, Shiqiang Yang
2018 A* conf
Stable Prediction across Unknown Environments.
KDD
Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li
2018 J jnl
Stable Prediction across Unknown Environments.
CoRR
Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2017 A* conf
Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing.
KDD
Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang
2017 J jnl
On Image Classification: Correlation v.s. Causality.
CoRR
Zheyan Shen, Peng Cui, Kun Kuang, Bo Li
2017 A* conf
Treatment Effect Estimation with Data-Driven Variable Decomposition.
AAAI
Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang
2016 A* conf
Steering Social Media Promotions with Effective Strategies.
ICDM
Kun Kuang, Meng Jiang, Peng Cui, Shiqiang Yang