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• Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs

  Zemin Liu, Vincent Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chang, Minghui Wu, Jing Ying

  2018-04-26

• From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution (Student Abstract)

  Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao

  13111-13112

  2022-06-28

• Incremental Multi-Domain Learning with Network Latent Tensor Factorization

  Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic

  10470-10477

  2020-04-03

• Learning SVM Classifiers with Indefinite Kernels

  Suicheng Gu, Yuhong Guo

  942-948

  2021-09-20

• Learning Neural Bag-of-Matrix-Summarization with Riemannian Network

  Hong Liu, Jie Li, Yongjian Wu, Rongrong Ji

  8746-8753

  2019-07-17

• SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models

  Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun

  7497-7505

  2022-06-28

• Distant Transfer Learning via Deep Random Walk

  Qiao Xiao, Yu Zhang

  10422-10429

  2021-05-18

• Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning

  Jia Wang, Yawen Li, Yingxia Shao, Zhe Xue, Zeli Guan, Ang Li, Guanhua Ye

  21117-21125

  2025-04-11

• GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs

  Songwei Zhao, Yuan Jiang, Zijing Zhang, Yang Yu, Hechang Chen

  13383-13391

  2025-04-11

• Reinforcement Causal Structure Learning on Order Graph

  Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo

  10737-10744

  2023-06-26

• Imagination Machines: A New Challenge for Artificial Intelligence

  Sridhar Mahadevan

  2018-04-29

• Cellular Network Traffic Scheduling With Deep Reinforcement Learning

  Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti

  2018-04-25

• Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation

  Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon

  10145-10154

  2024-03-24

• Ontology Instance Linking: Towards Interlinked Knowledge Graphs

  Jeff Heflin, Dezhao Song

  2016-03-05

• Instance-Wise Laplace Mechanism via Deep Reinforcement Learning (Student Abstract)

  Sehyun Ryu, Hosung Joo, Jonggyu Jang, Hyun Jong Yang

  23640-23641

  2024-03-24

• Discovering Sequential Patterns with Predictable Inter-event Delays

  Joscha Cüppers, Paul Krieger, Jilles Vreeken

  8346-8353

  2024-03-24

• Towards Cohesive Anomaly Mining

  Yun Xiong, Yangyong Zhu, Philip Yu, Jian Pei

  984-990

  2013-06-30

• NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting

  Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth

  11604-11612

  2022-06-28

• Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract)

  Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu, Xiaoyang Liu

  16356-16357

  2024-07-15

• Fairness in Forecasting and Learning Linear Dynamical Systems

  Quan Zhou, Jakub Marecek, Robert N. Shorten

  11134-11142

  2021-05-18

• STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction

  Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang

  4048-4056

  2022-06-28

• Unsupervised Anomaly Detection by Robust Density Estimation

  Boyang Liu, Pang-Ning Tan, Jiayu Zhou

  4101-4108

  2022-06-28

• Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity

  Lorenzo Perini, Vincent Vercruyssen, Jesse Davis

  4128-4136

  2022-06-28

• Ensemble Semi-supervised Entity Alignment via Cycle-Teaching

  Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou

  4281-4289

  2022-06-28

• Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models

  Fuyao Zhang, Xinyu Yan, Tiantong Wu, Wenjie Li, Tianxiang Chen, Yang Cao, Ran Yan, Longtao Huang, Wei Yang Bryan Lim, Qiang Yang

  28185-28193

  2026-03-14