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KDD 2024 - On Normalised Discounted Cumulative Gain
KDD 2023 - End-to-End Inventory Prediction and Contract Allocation
KDD2024 - Explainable and Interpretable Forecasts on NonSmooth Multivariate Time Series for Gameplay
KDD 2023 Predicting Information Pathways Across Online Communities
KDD2024 - Frontiers of Foundation Models for Time Series
KDD 2025 - Stochastic Diffusion: A Diffusion Based Model for Time Series Forecasting
KDD 2026 - Efficient Test-Time Scaling for LLM-based Time Series Forecasting
KDD 2023 - Conditional Neural ODE Process for Individual Disease Progression Forecasting
KDD 2020 paper Knowing your FATE: Explanations for User Engagement Prediction on Social Apps
Temporal Probabilistic Profiles - TPF (KDD 2019)
KDD 2024 in Barcelona: Keynotes | Posters | Networking | My Research Journey | Kishalay Das
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Last Updated: October 27, 2026
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Sheo Yon Jhin, Yonsei University. Sanjeev Arora, Princeton University Title: From Word Chuanren Liu, The University of Tennessee The integration of predictive and optimization models has received increasing ... Yiqiao Jin - Code & Data: github.com/claws-lab/INPAC Arxiv: arxiv.org/abs/2306.02259 Lab: ... Yan Liu, USC Large Language Model Day Keynote Abstract: Recent development in deep learning has spurred research ... Yuansan Liu; Sudanthi Wijewickrema; Dongting Hu; Christofer Bester; Stephen O'Leary; James Bailey. Xuan-May Le, Minh-Tuan Tran, Ling Luo, Uwe Aickelin, Dinh Phung, Trung Le. Ting Dang, University of Cambridge Time series My research on multivariate time-series analysis, as going to appear in