research
∙
09/21/2023
A Vision-Centric Approach for Static Map Element Annotation
The recent development of online static map element (a.k.a. HD Map) cons...
share
research
∙
09/06/2023
Technical Report: A Contact-aware Feedback CPG System for Learning-based Locomotion Control in a Soft Snake Robot
Integrating contact-awareness into a soft snake robot and efficiently co...
research
∙
08/31/2023
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
During the process of computed tomography (CT), metallic implants often ...
research
∙
07/28/2023
Learning with Constraint Learning: New Perspective, Solution Strategy and Various Applications
The complexity of learning problems, such as Generative Adversarial Netw...
research
∙
05/31/2023
XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections via a Transformer Network
Computed tomography (CT) scans offer a detailed, three-dimensional repre...
research
∙
05/25/2023
A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising
Low-dose computed tomography (CT) image denoising is crucial in medical ...
research
∙
02/11/2023
Hierarchical Optimization-Derived Learning
In recent years, by utilizing optimization techniques to formulate the p...
research
∙
07/11/2022
Reinforcement Learning of a CPG-regulated Locomotion Controller for a Soft Snake Robot
In this work, we present a learning-based goal-tracking control method f...
research
∙
06/16/2022
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
Recently, Optimization-Derived Learning (ODL) has attracted attention fr...
research
∙
05/20/2022
Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application
In past years, the minimax type single-level optimization formulation an...
research
∙
05/20/2022
Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees
Gradient methods have become mainstream techniques for Bi-Level Optimiza...
research
∙
10/11/2021
Value-Function-based Sequential Minimization for Bi-level Optimization
Gradient-based Bi-Level Optimization (BLO) methods have been widely appl...
research
∙
10/04/2021
Learning to shortcut and shortlist order fulfillment deciding
With the increase of order fulfillment options and business objectives t...
research
∙
06/15/2021
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization
Bi-level optimization model is able to capture a wide range of complex l...
research
∙
06/03/2021
Adaptive Epidemic Forecasting and Community Risk Evaluation of COVID-19
Pandemic control measures like lock-down, restrictions on restaurants an...
research
∙
05/24/2021
Cross-lingual Text Classification with Heterogeneous Graph Neural Network
Cross-lingual text classification aims at training a classifier on the s...
research
∙
05/10/2021
Learning Contact-aware CPG-based Locomotion in a Soft Snake Robot
In this paper, we present a model-free learning-based control scheme for...
research
∙
02/01/2021
Blockchain for Decentralized Multi-Drone to Combat COVID-19
Currently, drones represent a promising technology for combating Coronav...
research
∙
08/20/2020
Defending Against Adversarial Attacks in Transmission- and Distribution-level PMU Data
Phasor measurement units (PMUs) provide high-fidelity data that improve ...
research
∙
05/04/2020
The Multi-Symplectic Lanczos Algorithm and Its Applications to Color Image Processing
Low-rank approximations of original samples are playing more and more an...
research
∙
01/13/2020
Learning to Locomote with Deep Neural-Network and CPG-based Control in a Soft Snake Robot
In this paper, we present a new locomotion control method for soft robot...
research
∙
04/05/2019
A Validated Physical Model For Real-Time Simulation of Soft Robotic Snakes
In this work we present a framework that is capable of accurately repres...
research
∙
12/28/2018
Improving the Interpretability of Deep Neural Networks with Knowledge Distillation
Deep Neural Networks have achieved huge success at a wide spectrum of ap...
research
∙
10/05/2018
Compositional planning in Markov decision processes: Temporal abstraction meets generalized logic composition
In hierarchical planning for Markov decision processes (MDPs), temporal ...
research
∙
02/02/2018
Interpretable Deep Convolutional Neural Networks via Meta-learning
Model interpretability is a requirement in many applications in which cr...
research
∙
11/14/2017
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications
In this paper, we introduce DuReader, a new large-scale, open-domain Chi...
research
∙
10/16/2015