Все публикации

0:02:18

KDD2024 - Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model

0:02:00

KDD2024 - Expander Hierarchies for Normalized Cuts on Graphs

0:02:14

KDD2024 - Representation Learning of Temporal Graphs with Structural Roles

0:02:00

KDD2024 - Introduction to AutoXPCR: Automated Multi-Objective Model Selection for Time Series

0:41:48

Representation Learning and Information Retrieval -SIGIR 2024, Keynote Speaker, Yiming Yang

0:01:57

KDD 2024 - Compact Decomposition of Irregular Tensors

0:02:37

KDD 2024 - TnT LLM Text Mining

0:02:06

KDD 2024 - Learning to Bid the Interest Rate

0:16:45

e Energy 2024 S2P5 FedZero Leveraging Renewable Excess Energy in Federated Learning

0:02:08

KDD 2024 - Robust Predictions with Ambiguous Time Delays

0:01:51

KDD 2024 - Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck

0:01:59

KDD 2024 - Topology monitorable Contrastive Learning

0:27:53

e Energy 2024 S4P1 Distill2Explain Differentiable decision trees for explainable reinforcement learn

0:01:56

Outstanding Contribution to ACM Award 2023

0:01:58

2023 ACM Paris Kanellakis Theory and Practice Award

0:02:05

2023 ACM Prize in Computing

1:00:16

Design is Testability

0:59:17

Programming Distributed Systems

0:04:29

April 2024 CACM: The Science of Detecting LLM-Generated Text

0:00:55

People of ACM: Kurt Mehlhorn (2/22/2024)

0:18:36

EAAMO'23: Is Your Model Predicting the Past

0:03:52

January 2024 CACM: 10 Things Software Developers Should Learn About Learning

0:01:00

People of ACM: Alfons Kemper (12/19/2023)

1:26:56

ICSE 23 - SE Education session