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09/20/2023
ModelGiF: Gradient Fields for Model Functional Distance
The last decade has witnessed the success of deep learning and the surge...
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08/29/2023
An Incremental SVD Method for Non-Fickian Flows in Porous Media: Addressing Storage and Computational Challenges
It is well known that the numerical solution of the Non-Fickian flows at...
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08/10/2023
Co-movement Pattern Mining from Videos
Co-movement pattern mining from GPS trajectories has been an intriguing ...
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07/17/2023
A mixed policy to improve performance of language models on math problems
When to solve math problems, most language models take a sampling strate...
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07/14/2023
Locking-free HDG methods for Reissner-Mindlin plates equations on polygonal meshes
We present and analyze a new hybridizable discontinuous Galerkin method ...
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07/11/2023
A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence
OD matrix estimation is a critical problem in the transportation domain....
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05/18/2023
Deep Metric Tensor Regularized Policy Gradient
Policy gradient algorithms are an important family of deep reinforcement...
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03/24/2023
Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow
Optical flow estimation has made great progress, but usually suffers fro...
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03/13/2023
Optimal and Heuristic Min-Reg Scheduling Algorithms for GPU Programs
Given a basic block of instructions, finding a schedule that requires th...
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02/09/2023
FLAC: A Robust Failure-Aware Atomic Commit Protocol for Distributed Transactions
In distributed transaction processing, atomic commit protocol (ACP) is u...
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01/18/2023
ACQ: Improving Generative Data-free Quantization Via Attention Correction
Data-free quantization aims to achieve model quantization without access...
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11/27/2022
Unbiased Knowledge Distillation for Recommendation
As a promising solution for model compression, knowledge distillation (K...
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09/29/2022
Hierarchical Training of Deep Ensemble Policies for Reinforcement Learning in Continuous Spaces
Many actor-critic deep reinforcement learning (DRL) algorithms have achi...
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07/03/2022
GlassDB: An Efficient Verifiable Ledger Database System Through Transparency
Verifiable ledger databases protect data history against malicious tampe...
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06/28/2022
Accurate and Real-time Pseudo Lidar Detection: Is Stereo Neural Network Really Necessary?
The proposal of Pseudo-Lidar representation has significantly narrowed t...
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06/14/2022
Sense The Physical, Walkthrough The Virtual, Manage The Metaverse: A Data-centric Perspective
In the Metaverse, the physical space and the virtual space co-exist, and...
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04/15/2022
Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network
Machine learning-based methods have achieved successful applications in ...
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04/07/2022
Analysis of a class of globally divergence-free HDG methods for stationary Navier-Stokes equations
This paper analyzes a class of globally divergence-free (and therefore p...
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03/09/2022
A New Global Divergence Free and Pressure-Robust HDG Method for Tangential Boundary Control of Stokes Equations
In [ESAIM: M2AN, 54(2020), 2229-2264], we proposed an HDG method to appr...
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02/27/2022
Obstacle Avoidance of Resilient UAV Swarm Formation with Active Sensing System in the Dense Environment
This paper proposes a perception-shared and swarm trajectory global opti...
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02/13/2022
Continuous Occupancy Mapping in Dynamic Environments Using Particles
Dynamic occupancy maps were proposed in recent years to model the obstac...
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01/22/2022
PiCO: Contrastive Label Disambiguation for Partial Label Learning
Partial label learning (PLL) is an important problem that allows each tr...
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01/17/2022
Risk-aware Trajectory Sampling for Quadrotor Obstacle Avoidance in Dynamic Environments
Obstacle avoidance of quadrotors in dynamic environments is still a very...
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11/23/2021
Real-time intelligent big data processing: technology, platform, and applications
Human beings keep exploring the physical space using information means. ...
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11/13/2021
Where to Look: A Unified Attention Model for Visual Recognition with Reinforcement Learning
The idea of using the recurrent neural network for visual attention has ...
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10/15/2021
Sharp L^∞ estimates of HDG methods for Poisson equation II: 3D
In [SIAM J. Numer. Anal., 59 (2), 720-745], we proved quasi-optimal L^∞ ...
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09/09/2021
Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal
Deep learning models usually require a large amount of labeled data to a...
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08/12/2021
Agile Formation Control of Drone Flocking Enhanced with Active Vision-based Relative Localization
Relative localization is a prerequisite for the cooperation of aerial sw...
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08/03/2021
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis
Deep learning has achieved great success in a wide spectrum of multimedi...
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07/15/2021
Deep Reinforcement Learning based Dynamic Optimization of Bus Timetable
Bus timetable optimization is a key issue to reduce operational cost of ...
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07/05/2021
ARM-Net: Adaptive Relation Modeling Network for Structured Data
Relational databases are the de facto standard for storing and querying ...
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06/17/2021
Joining datasets via data augmentation in the label space for neural networks
Most, if not all, modern deep learning systems restrict themselves to a ...
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06/08/2021
A critical look at the current train/test split in machine learning
The randomized or cross-validated split of training and testing sets has...
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05/22/2021
Tensor products of coherent configurations
A Cartesian decomposition of a coherent configuration X is defined as a ...
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04/21/2021
Machine vision detection to daily facial fatigue with a nonlocal 3D attention network
Fatigue detection is valued for people to keep mental health and prevent...
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03/30/2021
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment
Alphas are stock prediction models capturing trading signals in a stock ...
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02/06/2021
Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking
Recently, distributed controller architectures have been quickly gaining...
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02/01/2021
Semi-discrete and fully discrete HDG methods for Burgers' equation
This paper proposes semi-discrete and fully discrete hybridizable discon...
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01/26/2021
C-for-Metal: High Performance SIMD Programming on Intel GPUs
The SIMT execution model is commonly used for general GPU development. C...
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12/12/2020
Learning Symbolic Expressions via Gumbel-Max Equation Learner Network
Although modern machine learning, in particular deep learning, has achie...
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11/23/2020
LINDT: Tackling Negative Federated Learning with Local Adaptation
Federated Learning (FL) is a promising distributed learning paradigm, wh...
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11/09/2020
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention
BERT-enhanced neural machine translation (NMT) aims at leveraging BERT-e...
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10/17/2020
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines
With the ever-increasing adoption of machine learning for data analytics...
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10/10/2020
Bio-inspired Obstacle Avoidance for Flying Robots with Active Sensing
This paper presents a novel vision-based obstacle avoidance system for f...
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09/01/2020
Superconvergent Interpolatory HDG methods for reaction diffusion equations II: HHO-inspired methods
In J. Sci. Comput., 81: 2188-2212, 2019, we considered a superconvergent...
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08/14/2020
Privacy Preserving Vertical Federated Learning for Tree-based Models
Federated learning (FL) is an emerging paradigm that enables multiple or...
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08/11/2020
Planimation
Planimation is a modular and extensible open source framework to visuali...
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06/12/2020
Decorrelated Double Q-learning
Q-learning with value function approximation may have the poor performan...
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05/15/2020
L^∞ norm error estimates for HDG methods applied to the Poisson equation with an application to the Dirichlet boundary control problem
We prove quasi-optimal L^∞ norm error estimates (up to logarithmic facto...
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04/16/2020
