Kdd 2026 Designing A Scalable

Media Summary: Qingbin Zeng, Yuwei Yan, Zhiheng Zheng, Jingzhe Yuan, Jun Zhang, Jie Feng, Fengli Xu, James Evans, Yong Li. Bingxue Zhang, Jinbiao Li, Qian Tang, Feida Zhu. Xuan-May Le, Minh-Tuan Tran, Ling Luo, Uwe Aickelin, Dinh Phung, Trung Le.

Kdd 2026 Designing A Scalable - Detailed Analysis & Overview

Qingbin Zeng, Yuwei Yan, Zhiheng Zheng, Jingzhe Yuan, Jun Zhang, Jie Feng, Fengli Xu, James Evans, Yong Li. Bingxue Zhang, Jinbiao Li, Qian Tang, Feida Zhu. Xuan-May Le, Minh-Tuan Tran, Ling Luo, Uwe Aickelin, Dinh Phung, Trung Le. Mingjian Lu, Hieu Vu, Vu Le, Jing Ma, Yinghui Wu. Tongzhou Yu, Mingjia Li, Hong Qian, Wenkai Wang, Zongbao Zhang, Yaoyu Jiang, Xiangfeng Wang, Aimin Zhou, Jiajun Guo. Daniel Day:Meta;Matthew Dalton:Meta;Samuel Daulton:Meta;Benjamin Letham:Meta;Xiao Cai:Meta;Aojia Zhao:Meta;Eytan ...

Hojung Shin, Taeri Kim, Jebum Choi, Hyunjoon Kim, Sang-Wook Kim. Radhika Dua, Aditi Agarwal, Aishwarya Jayagopal, Depanshu Sani, Alex Wilson, Hoang Tran, Ishan Deshpande, Bogdan ... Jie Jiang, Jun Zhang, Yi Li, Yue Liu, Changping Wang, Yuan Wang, Yuling Xiong, Xun Liu, Haiyang Wu, Qian Li, Enming Zhang, ... Dezhi Yang, Jun Wang, Carlotta Domeniconi, Dong Wu, Dong Zhang, Jinglin Zhang, Guoxian Yu. Yibang Tang, Yifan Yang, Jingyuan Wang, Junhua Chen, Zhen Zhao. Jiaxiang Liu, Jiawei Du, Xupeng Chen, Guoqi Li, Jiang Cai, Simon Fong, Mingkun Xu.

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KDD 2026 - Designing A Scalable LLM Agent Framework for Large-scale Urban Segregation Simulation

KDD 2026 - Causal Representation Learning from Network Data

KDD 2026 - SimuGov: A Simulation Optimization Framework for Generative AI Governance Strategy Design

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

KDD 2026 - CATGX: Causal-Aware Temporal Graph Explanation via Scalable Motif Sampling and Adjustment

KDD 2026 - DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment

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

KDD 2026 - RaceMED: A Race-Aware Approach to Accurate and Fair Medication Recommendation

KDD 2026 - Smallholder Agricultural Landscape Understanding at a National Scale

KDD 2026-GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recom.

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

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

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KDD 2026 - Designing A Scalable LLM Agent Framework for Large-scale Urban Segregation Simulation

KDD 2026 - Designing A Scalable LLM Agent Framework for Large-scale Urban Segregation Simulation

Qingbin Zeng, Yuwei Yan, Zhiheng Zheng, Jingzhe Yuan, Jun Zhang, Jie Feng, Fengli Xu, James Evans, Yong Li.

KDD 2026 - Causal Representation Learning from Network Data

KDD 2026 - Causal Representation Learning from Network Data

Jifan Zhang, Michelle Li, Elena Zheleva.

KDD 2026 - SimuGov: A Simulation Optimization Framework for Generative AI Governance Strategy Design

KDD 2026 - SimuGov: A Simulation Optimization Framework for Generative AI Governance Strategy Design

Bingxue Zhang, Jinbiao Li, Qian Tang, Feida Zhu.

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 - CATGX: Causal-Aware Temporal Graph Explanation via Scalable Motif Sampling and Adjustment

KDD 2026 - CATGX: Causal-Aware Temporal Graph Explanation via Scalable Motif Sampling and Adjustment

Mingjian Lu, Hieu Vu, Vu Le, Jing Ma, Yinghui Wu.

KDD 2026 - DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment

KDD 2026 - DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment

Tongzhou Yu, Mingjia Li, Hong Qian, Wenkai Wang, Zongbao Zhang, Yaoyu Jiang, Xiangfeng Wang, Aimin Zhou, Jiajun Guo.

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 - RaceMED: A Race-Aware Approach to Accurate and Fair Medication Recommendation

KDD 2026 - RaceMED: A Race-Aware Approach to Accurate and Fair Medication Recommendation

Hojung Shin, Taeri Kim, Jebum Choi, Hyunjoon Kim, Sang-Wook Kim.

KDD 2026 - Smallholder Agricultural Landscape Understanding at a National Scale

KDD 2026 - Smallholder Agricultural Landscape Understanding at a National Scale

Radhika Dua, Aditi Agarwal, Aishwarya Jayagopal, Depanshu Sani, Alex Wilson, Hoang Tran, Ishan Deshpande, Bogdan ...

KDD 2026-GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recom.

KDD 2026-GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recom.

Jie Jiang, Jun Zhang, Yi Li, Yue Liu, Changping Wang, Yuan Wang, Yuling Xiong, Xun Liu, Haiyang Wu, Qian Li, Enming Zhang, ...

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-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-MindAdapter:Few-ShotParameter-Effi.Residual Calibr.ofCross-SubjectBrain-to-VisualDec.Models

KDD 2026-MindAdapter:Few-ShotParameter-Effi.Residual Calibr.ofCross-SubjectBrain-to-VisualDec.Models

Jiaxiang Liu, Jiawei Du, Xupeng Chen, Guoqi Li, Jiang Cai, Simon Fong, Mingkun Xu.