research
∙
09/16/2023
Test-Time Compensated Representation Learning for Extreme Traffic Forecasting
Traffic forecasting is a challenging task due to the complex spatio-temp...
share
research
∙
08/29/2023
Massively Parallel Continuous Local Search for Hybrid SAT Solving on GPUs
Although state-of-the-art (SOTA) SAT solvers based on conflict-driven cl...
research
∙
08/03/2023
LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment
3D panoptic segmentation is a challenging perception task that requires ...
research
∙
06/19/2023
Fairness-aware Message Passing for Graph Neural Networks
Graph Neural Networks (GNNs) have shown great power in various domains. ...
research
∙
04/24/2023
Generalized Likelihood Ratios for Understanding, Comparing and Constructing Interval Designs of Dose-Finding Studies
Dose-finding studies often include an up-and-down dose transition rule t...
research
∙
03/10/2023
New Benchmarks for Accountable Text-based Visual Re-creation
Given a command, humans can directly execute the action after thinking o...
research
∙
01/24/2023
Solving Quantum-Inspired Perfect Matching Problems via Tutte's Theorem-Based Hybrid Boolean Constraints
Determining the satisfiability of Boolean constraint-satisfaction proble...
research
∙
09/26/2022
Quantum-Inspired Perfect Matching under Vertex-Color Constraints
We propose and study the graph-theoretical problem PM-VC: perfect matchi...
research
∙
05/08/2022
DPMS: An ADD-Based Symbolic Approach for Generalized MaxSAT Solving
Boolean MaxSAT, as well as generalized formulations such as Min-MaxSAT a...
research
∙
12/11/2021
You Only Need End-to-End Training for Long-Tailed Recognition
The generalization gap on the long-tailed data sets is largely owing to ...
research
∙
12/08/2021
CoMPS: Continual Meta Policy Search
We develop a new continual meta-learning method to address challenges in...
research
∙
09/15/2021
New Perspective on Progressive GANs Distillation for One-class Novelty Detection
One-class novelty detection is conducted to identify anomalous instances...
research
∙
08/15/2021
A Cascaded Zoom-In Network for Patterned Fabric Defect Detection
Nowadays, Deep Convolutional Neural Networks (DCNNs) are widely used in ...
research
∙
08/11/2021
Instance-weighted Central Similarity for Multi-label Image Retrieval
Deep hashing has been widely applied to large-scale image retrieval by e...
research
∙
06/16/2021
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs
We present a novel, practical, and provable approach for solving diagona...
research
∙
03/10/2021
FAST-Dynamic-Vision: Detection and Tracking Dynamic Objects with Event and Depth Sensing
The development of aerial autonomy has enabled aerial robots to fly agil...
research
∙
12/14/2020
On Continuous Local BDD-Based Search for Hybrid SAT Solving
We explore the potential of continuous local search (CLS) in SAT solving...
research
∙
11/09/2020
EVA-Planner: Environmental Adaptive Quadrotor Planning
Due to its superior agility and flexibility, quadrotor is popularly used...
research
∙
07/14/2020
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection
One-class novelty detection is to identify anomalous instances that do n...
research
∙
02/12/2020
Joint Embedding in Named Entity Linking on Sentence Level
Named entity linking is to map an ambiguous mention in documents to an e...
research
∙
12/02/2019
FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints
The Boolean SATisfiability problem (SAT) is of central importance in com...
research
∙
11/15/2019
Graph Iso/Auto-morphism: A Divide- -Conquer Approach
The graph isomorphism is to determine whether two graphs are isomorphic....
research
∙
11/07/2019
Mining Bursting Communities in Temporal Graphs
Temporal graphs are ubiquitous. Mining communities that are bursting in ...
research
∙
09/20/2018