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09/15/2023
A Ground Segmentation Method Based on Point Cloud Map for Unstructured Roads
Ground segmentation, as the basic task of unmanned intelligent perceptio...
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06/20/2023
RM-PRT: Realistic Robotic Manipulation Simulator and Benchmark with Progressive Reasoning Tasks
Recently, the advent of pre-trained large-scale language models (LLMs) l...
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05/22/2023
Semantic Structure Enhanced Event Causality Identification
Event Causality Identification (ECI) aims to identify causal relations b...
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04/07/2023
Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method
The development of knowledge graph (KG) applications has led to a rising...
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12/16/2022
Rich Event Modeling for Script Event Prediction
Script is a kind of structured knowledge extracted from texts, which con...
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11/15/2022
Auto-outlier Fusion Technique for Chest X-ray classification with Multi-head Attention Mechanism
A chest X-ray is one of the most widely available radiological examinati...
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10/18/2022
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning
A Temporal Knowledge Graph (TKG) is a sequence of KGs with respective ti...
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10/12/2022
cuFasterTucker: A Stochastic Optimization Strategy for Parallel Sparse FastTucker Decomposition on GPU Platform
Currently, the size of scientific data is growing at an unprecedented ra...
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04/14/2022
cu_FastTucker: A Faster and Stabler Stochastic Optimization for Parallel Sparse Tucker Decomposition on Multi-GPUs
High-Order, High-Dimension, and Sparse Tensor (HOHDST) data originates f...
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03/15/2022
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning
A Temporal Knowledge Graph (TKG) is a sequence of KGs corresponding to d...
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12/31/2021
What is Event Knowledge Graph: A Survey
Besides entity-centric knowledge, usually organized as Knowledge Graph (...
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11/23/2021
Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis
Matrix factorization (MF) can extract the low-rank features and integrat...
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06/01/2021
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs
Temporal Knowledge Graphs (TKGs) have been developed and used in many di...
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05/25/2021
Comparative Synthesis: Learning Optimal Programs with Indeterminate Objectives
Quantitative program synthesis aims to generate a program that satisfies...
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04/21/2021
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning
Knowledge Graph (KG) reasoning that predicts missing facts for incomplet...
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12/07/2020
SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition
Sparse Tucker Decomposition (STD) algorithms learn a core tensor and a g...
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05/25/2020