b'Gang Chen'

research

∙ 09/20/2023

ModelGiF: Gradient Fields for Model Functional Distance

The last decade has witnessed the success of deep learning and the surge...

0 Jie Song, et al. ∙

research

∙ 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...

0 Gang Chen, et al. ∙

research

∙ 08/10/2023

Co-movement Pattern Mining from Videos

Co-movement pattern mining from GPS trajectories has been an intriguing ...

0 Dongxiang Zhang, et al. ∙

research

∙ 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...

0 Gang Chen, et al. ∙

research

∙ 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 ...

0 Gang Chen, et al. ∙

research

∙ 07/11/2023

A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence

OD matrix estimation is a critical problem in the transportation domain....

0 Zheli Xiong, et al. ∙

research

∙ 05/18/2023

Deep Metric Tensor Regularized Policy Gradient

Policy gradient algorithms are an important family of deep reinforcement...

0 Gang Chen, et al. ∙

research

∙ 03/24/2023

Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow

Optical flow estimation has made great progress, but usually suffers fro...

0 Hanyu Zhou, et al. ∙

research

∙ 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...

0 Gang Chen, et al. ∙

research

∙ 02/09/2023

FLAC: A Robust Failure-Aware Atomic Commit Protocol for Distributed Transactions

In distributed transaction processing, atomic commit protocol (ACP) is u...

0 Hexiang Pan, et al. ∙

research

∙ 01/18/2023

ACQ: Improving Generative Data-free Quantization Via Attention Correction

Data-free quantization aims to achieve model quantization without access...

0 Jixing Li, et al. ∙

research

∙ 11/27/2022

Unbiased Knowledge Distillation for Recommendation

As a promising solution for model compression, knowledge distillation (K...

0 Gang Chen, et al. ∙

research

∙ 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...

0 Gang Chen, et al. ∙

research

∙ 07/03/2022

GlassDB: An Efficient Verifiable Ledger Database System Through Transparency

Verifiable ledger databases protect data history against malicious tampe...

0 Cong Yue, et al. ∙

research

∙ 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...

0 Haitao Meng, et al. ∙

research

∙ 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...

0 Beng Chin Ooi, et al. ∙

research

∙ 04/15/2022

Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network

Machine learning-based methods have achieved successful applications in ...

3 Gang Chen, et al. ∙

research

∙ 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...

0 Gang Chen, et al. ∙

research

∙ 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...

0 Gang Chen, et al. ∙

research

∙ 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...

0 Peng Peng, et al. ∙

research

∙ 02/13/2022

Continuous Occupancy Mapping in Dynamic Environments Using Particles

Dynamic occupancy maps were proposed in recent years to model the obstac...

0 Gang Chen, et al. ∙

research

∙ 01/22/2022

PiCO: Contrastive Label Disambiguation for Partial Label Learning

Partial label learning (PLL) is an important problem that allows each tr...

0 Haobo Wang, et al. ∙

research

∙ 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...

0 Gang Chen, et al. ∙

research

∙ 11/23/2021

Real-time intelligent big data processing: technology, platform, and applications

Human beings keep exploring the physical space using information means. ...

0 Tongya Zheng, et al. ∙

research

∙ 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 ...

0 Gang Chen, et al. ∙

research

∙ 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^∞ ...

0 Gang Chen, et al. ∙

research

∙ 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...

0 Lei Zhu, et al. ∙

research

∙ 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...

0 Peihan Zhang, et al. ∙

research

∙ 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...

0 Naili Xing, et al. ∙

research

∙ 07/15/2021

Deep Reinforcement Learning based Dynamic Optimization of Bus Timetable

Bus timetable optimization is a key issue to reduce operational cost of ...

0 Guanqun Ai, et al. ∙

research

∙ 07/05/2021

ARM-Net: Adaptive Relation Modeling Network for Structured Data

Relational databases are the de facto standard for storing and querying ...

6 Shaofeng Cai, et al. ∙

research

∙ 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 ...

0 Jake Zhao, et al. ∙

research

∙ 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...

0 Jimin Tan, et al. ∙

research

∙ 05/22/2021

Tensor products of coherent configurations

A Cartesian decomposition of a coherent configuration X is defined as a ...

0 Gang Chen, et al. ∙

research

∙ 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...

0 Zeyu Chen, et al. ∙

research

∙ 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 ...

0 Can Cui, et al. ∙

research

∙ 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...

0 Victoria Huang, et al. ∙

research

∙ 02/01/2021

Semi-discrete and fully discrete HDG methods for Burgers' equation

This paper proposes semi-discrete and fully discrete hybridizable discon...

0 Zimo Zhu, et al. ∙

research

∙ 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...

0 Guei-Yuan Lueh, et al. ∙

research

∙ 12/12/2020

Learning Symbolic Expressions via Gumbel-Max Equation Learner Network

Although modern machine learning, in particular deep learning, has achie...

0 Gang Chen, et al. ∙

research

∙ 11/23/2020

LINDT: Tackling Negative Federated Learning with Local Adaptation

Federated Learning (FL) is a promising distributed learning paradigm, wh...

0 Hong Lin, et al. ∙

research

∙ 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...

0 Zhebin Zhang, et al. ∙

research

∙ 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...

0 Zhaojing Luo, et al. ∙

research

∙ 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...

0 Gang Chen, et al. ∙

research

∙ 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...

0 Gang Chen, et al. ∙

research

∙ 08/14/2020

Privacy Preserving Vertical Federated Learning for Tree-based Models

Federated learning (FL) is an emerging paradigm that enables multiple or...

0 Yuncheng Wu, et al. ∙

research

∙ 08/11/2020

Planimation

Planimation is a modular and extensible open source framework to visuali...

18 Gang Chen, et al. ∙

research

∙ 06/12/2020

Decorrelated Double Q-learning

Q-learning with value function approximation may have the poor performan...

0 Gang Chen, et al. ∙

research

∙ 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...

0 Gang Chen, et al. ∙

research

∙ 04/16/2020

ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications

Data collaboration activities typically require systematic or protocol-b...

0 Qian Lin, et al. ∙

Gang Chen

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