Kdd 2026 Continuous Causal Component

Media Summary: Dezhi Yang, Jun Wang, Carlotta Domeniconi, Dong Wu, Dong Zhang, Jinglin Zhang, Guoxian Yu. Haoji Hu, Huaqing Mao, Yijun Lin, Xiaowei Jia, Jinwei Zhou, Minoh Jeong, Yao-Yi Chiang. David Campos, Bin Yang, Tung Kieu, Lei Chen, Chenjuan Guo, Christian Jensen.

Kdd 2026 Continuous Causal Component - Detailed Analysis & Overview

Dezhi Yang, Jun Wang, Carlotta Domeniconi, Dong Wu, Dong Zhang, Jinglin Zhang, Guoxian Yu. Haoji Hu, Huaqing Mao, Yijun Lin, Xiaowei Jia, Jinwei Zhou, Minoh Jeong, Yao-Yi Chiang. David Campos, Bin Yang, Tung Kieu, Lei Chen, Chenjuan Guo, Christian Jensen. Othman Alghamdi, Marco Canducci, Rory Smith, Peter Tino. Xuan-May Le, Minh-Tuan Tran, Ling Luo, Uwe Aickelin, Dinh Phung, Trung Le. Lingdu Kong, Xiaochun Yang, Shuo Li, Tieying Li, Bin Wang, Chunhui Shen, Xiang Wang, Feibo Li.

Daniel Day:Meta;Matthew Dalton:Meta;Samuel Daulton:Meta;Benjamin Letham:Meta;Xiao Cai:Meta;Aojia Zhao:Meta;Eytan ... Weitao Tang, Meijie Du, Die Hu, Shu Li, Zhao Li, Rong Yang, Qingyun Liu. Avia Asael, Daniel Deutch, Nave Frost, Amir Gilad. Yibang Tang, Yifan Yang, Jingyuan Wang, Junhua Chen, Zhen Zhao. David Yoon Suk Kang, So-Bin Jung, Sang-Wook Kim.

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KDD 2026 - Continuous Causal Component and Structure Discovery from Time Series

KDD 2026-Estimating Mutual Info between TimeSeries andTemporal Event Seq. AcrossDiverse Analys.Tasks

KDD 2026 - Causal Representation Learning from Network Data

KDD 2026 - TimeBlocks: Versatile and Continual Time-Series Blockbase

KDD 2026-IterativeProbab.HoughTransform:RobustDiscovery of FilamentaryStructures inHigh-NoiseRegimes

KDD 2026 - Efficient Test-Time Scaling for LLM-based Time Series Forecasting

KDD 2026-Learned Lossless ImageCompress. with Interleaved ParallelInference and IrregularCausalReas.

KDD 2026-Case Study:Learning Robust, Long-run Surrogate Metrics with Modeling and Instrumental Vari.

KDD 2026 - Strainer: Encrypted Video Traffic Identification for Mixed Segment Transmission Pattern

KDD 2026 - Realistic Counterfactual Explanations via Denial Constraints

KDD 2026 - Treatment Effect Estimation with Differentiated Networked Effect on Graph Data

KDD 2026-SOAR: Real-TimeJoint Opti.of Order Allocation andRobot Sched.in Robotic Mobile Fulfill. Sys

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KDD 2026 - Continuous Causal Component and Structure Discovery from Time Series

KDD 2026 - Continuous Causal Component and Structure Discovery from Time Series

Dezhi Yang, Jun Wang, Carlotta Domeniconi, Dong Wu, Dong Zhang, Jinglin Zhang, Guoxian Yu.

KDD 2026-Estimating Mutual Info between TimeSeries andTemporal Event Seq. AcrossDiverse Analys.Tasks

KDD 2026-Estimating Mutual Info between TimeSeries andTemporal Event Seq. AcrossDiverse Analys.Tasks

Haoji Hu, Huaqing Mao, Yijun Lin, Xiaowei Jia, Jinwei Zhou, Minoh Jeong, Yao-Yi Chiang.

KDD 2026 - Causal Representation Learning from Network Data

KDD 2026 - Causal Representation Learning from Network Data

Jifan Zhang, Michelle Li, Elena Zheleva.

KDD 2026 - TimeBlocks: Versatile and Continual Time-Series Blockbase

KDD 2026 - TimeBlocks: Versatile and Continual Time-Series Blockbase

David Campos, Bin Yang, Tung Kieu, Lei Chen, Chenjuan Guo, Christian Jensen.

KDD 2026-IterativeProbab.HoughTransform:RobustDiscovery of FilamentaryStructures inHigh-NoiseRegimes

KDD 2026-IterativeProbab.HoughTransform:RobustDiscovery of FilamentaryStructures inHigh-NoiseRegimes

Othman Alghamdi, Marco Canducci, Rory Smith, Peter Tino.

KDD 2026 - Efficient Test-Time Scaling for LLM-based Time Series Forecasting

KDD 2026 - Efficient Test-Time Scaling for LLM-based Time Series Forecasting

Xuan-May Le, Minh-Tuan Tran, Ling Luo, Uwe Aickelin, Dinh Phung, Trung Le.

KDD 2026-Learned Lossless ImageCompress. with Interleaved ParallelInference and IrregularCausalReas.

KDD 2026-Learned Lossless ImageCompress. with Interleaved ParallelInference and IrregularCausalReas.

Lingdu Kong, Xiaochun Yang, Shuo Li, Tieying Li, Bin Wang, Chunhui Shen, Xiang Wang, Feibo Li.

KDD 2026-Case Study:Learning Robust, Long-run Surrogate Metrics with Modeling and Instrumental Vari.

KDD 2026-Case Study:Learning Robust, Long-run Surrogate Metrics with Modeling and Instrumental Vari.

Daniel Day:Meta;Matthew Dalton:Meta;Samuel Daulton:Meta;Benjamin Letham:Meta;Xiao Cai:Meta;Aojia Zhao:Meta;Eytan ...

KDD 2026 - Strainer: Encrypted Video Traffic Identification for Mixed Segment Transmission Pattern

KDD 2026 - Strainer: Encrypted Video Traffic Identification for Mixed Segment Transmission Pattern

Weitao Tang, Meijie Du, Die Hu, Shu Li, Zhao Li, Rong Yang, Qingyun Liu.

KDD 2026 - Realistic Counterfactual Explanations via Denial Constraints

KDD 2026 - Realistic Counterfactual Explanations via Denial Constraints

Avia Asael, Daniel Deutch, Nave Frost, Amir Gilad.

KDD 2026 - Treatment Effect Estimation with Differentiated Networked Effect on Graph Data

KDD 2026 - Treatment Effect Estimation with Differentiated Networked Effect on Graph Data

Xiaofeng Lin, Han Bao, Hisashi Kashima.

KDD 2026-SOAR: Real-TimeJoint Opti.of Order Allocation andRobot Sched.in Robotic Mobile Fulfill. Sys

KDD 2026-SOAR: Real-TimeJoint Opti.of Order Allocation andRobot Sched.in Robotic Mobile Fulfill. Sys

Yibang Tang, Yifan Yang, Jingyuan Wang, Junhua Chen, Zhen Zhao.

KDD 2026-HyperGC:LearningHypergraphRepresentation via Full HyperedgeReconst.andContrastiveEvaluation

KDD 2026-HyperGC:LearningHypergraphRepresentation via Full HyperedgeReconst.andContrastiveEvaluation

David Yoon Suk Kang, So-Bin Jung, Sang-Wook Kim.