research
∙
09/07/2023
An Element-wise RSAV Algorithm for Unconstrained Optimization Problems
We present a novel optimization algorithm, element-wise relaxed scalar a...
share
research
∙
08/17/2023
Beam Retrieval: General End-to-End Retrieval for Multi-Hop Question Answering
Multi-hop QA involves finding multiple relevant passages and step-by-ste...
research
∙
07/06/2023
Towards Efficient Control Flow Handling in Spatial Architecture via Architecting the Control Flow Plane
Spatial architecture is a high-performance architecture that uses contro...
research
∙
06/09/2023
Energy-Dissipative Evolutionary Deep Operator Neural Networks
Energy-Dissipative Evolutionary Deep Operator Neural Network is an opera...
research
∙
04/18/2023
GoferBot: A Visual Guided Human-Robot Collaborative Assembly System
The current transformation towards smart manufacturing has led to a grow...
research
∙
03/24/2023
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations
Multimodal alignment facilitates the retrieval of instances from one mod...
research
∙
12/18/2022
FileDAG: A Multi-Version Decentralized Storage Network Built on DAG-based Blockchain
Decentralized Storage Networks (DSNs) can gather storage resources from ...
research
∙
10/15/2022
SPIDR: SDF-based Neural Point Fields for Illumination and Deformation
Neural radiance fields (NeRFs) have recently emerged as a promising appr...
research
∙
06/16/2022
ALL-MASK: A Reconfigurable Logic Locking Method for Multicore Architecture with Sequential-Instruction-Oriented Key
Intellectual property (IP) piracy has become a non-negligible problem as...
research
∙
04/11/2022
RMFGP: Rotated Multi-fidelity Gaussian process with Dimension Reduction for High-dimensional Uncertainty Quantification
Multi-fidelity modelling arises in many situations in computational scie...
research
∙
04/07/2022
MultiAuto-DeepONet: A Multi-resolution Autoencoder DeepONet for Nonlinear Dimension Reduction, Uncertainty Quantification and Operator Learning of Forward and Inverse Stochasti
A new data-driven method for operator learning of stochastic differentia...
research
∙
04/06/2022
PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations
In this work, a Gaussian process regression(GPR) model incorporated with...
research
∙
12/03/2021
LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences
Learning modality-fused representations and processing unaligned multimo...
research
∙
10/22/2021
EvoGAN: An Evolutionary Computation Assisted GAN
The image synthesis technique is relatively well established which can g...
research
∙
04/26/2021