b'Jian Li'

research

∙ 09/15/2023

A Real-time Faint Space Debris Detector With Learning-based LCM

With the development of aerospace technology, the increasing population ...

0 Zherui Lu, et al. ∙

research

∙ 08/17/2023

IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making

Market making (MM) has attracted significant attention in financial trad...

0 Hui Niu, et al. ∙

research

∙ 08/15/2023

A Survey on Model Compression for Large Language Models

Large Language Models (LLMs) have revolutionized natural language proces...

0 Xunyu Zhu, et al. ∙

research

∙ 08/08/2023

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers

Federated learning (FL) has been widely deployed to enable machine learn...

0 Haomin Zhuang, et al. ∙

research

∙ 08/01/2023

PVG: Progressive Vision Graph for Vision Recognition

Convolution-based and Transformer-based vision backbone networks process...

0 Jiafu Wu, et al. ∙

research

∙ 06/15/2023

SplatFlow: Learning Multi-frame Optical Flow via Splatting

Occlusion problem remains a key challenge in Optical Flow Estimation (OF...

0 Bo Wang, et al. ∙

research

∙ 06/11/2023

Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates

With the increasing demand for large-scale training of machine learning ...

6 Guojun Xiong, et al. ∙

research

∙ 05/31/2023

Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs

Multi-output deep neural networks(MONs) contain multiple task branches, ...

0 Yi Sun, et al. ∙

research

∙ 05/18/2023

Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance

Gradient Boosting Decision Tree (GBDT) has achieved remarkable success i...

0 Zheyu Zhang, et al. ∙

research

∙ 05/16/2023

Generative Table Pre-training Empowers Models for Tabular Prediction

Recently, the topic of table pre-training has attracted considerable res...

0 Tianping Zhang, et al. ∙

research

∙ 05/03/2023

MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction

How to effectively represent molecules is a long-standing challenge for ...

0 Liang Zeng, et al. ∙

research

∙ 04/24/2023

Analysis of a FEM-MCM Discretization for the 2D/3D stochastic closed-loop geothermal system

This paper develops a new 2D/3D stochastic closed-loop geothermal system...

0 Jian Li, et al. ∙

research

∙ 04/06/2023

Robust Neural Architecture Search

Neural Architectures Search (NAS) becomes more and more popular over the...

0 Xunyu Zhu, et al. ∙

research

∙ 03/02/2023

Joint cortical registration of geometry and function using semi-supervised learning

Brain surface-based image registration, an important component of brain ...

0 Jian Li, et al. ∙

research

∙ 02/11/2023

Operation-level Progressive Differentiable Architecture Search

Differentiable Neural Architecture Search (DARTS) is becoming more and m...

0 Xunyu Zhu, et al. ∙

research

∙ 02/11/2023

Improving Differentiable Architecture Search via Self-Distillation

Differentiable Architecture Search (DARTS) is a simple yet efficient Neu...

0 Xunyu Zhu, et al. ∙

research

∙ 01/20/2023

Coresets for Clustering with General Assignment Constraints

Designing small-sized coresets, which approximately preserve the costs o...

0 Lingxiao Huang, et al. ∙

research

∙ 12/12/2022

Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits

Multi-player multi-armed bandit is an increasingly relevant decision-mak...

0 Guojun Xiong, et al. ∙

research

∙ 12/01/2022

Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models

This paper revisits building machine learning algorithms that involve in...

0 Qiong Wu, et al. ∙

research

∙ 11/22/2022

OpenFE: Automated Feature Generation beyond Expert-level Performance

The goal of automated feature generation is to liberate machine learning...

0 Tianping Zhang, et al. ∙

research

∙ 11/22/2022

On Optimal Coreset Construction for Euclidean (k,z)-Clustering

Constructing small-sized coresets for various clustering problems in Euc...

0 Lingxiao Huang, et al. ∙

research

∙ 10/26/2022

Knowledge-Guided Exploration in Deep Reinforcement Learning

This paper proposes a new method to drastically speed up deep reinforcem...

0 Sahisnu Mazumder, et al. ∙

research

∙ 10/13/2022

Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning

APP-installation information is helpful to describe the user's character...

0 Tan Yu, et al. ∙

research

∙ 10/11/2022

DIGAT: Modeling News Recommendation with Dual-Graph Interaction

News recommendation (NR) is essential for online news services. Existing...

0 Zhiming Mao, et al. ∙

research

∙ 08/30/2022

Leap-frog neural network for learning the symplectic evolution from partitioned data

For the Hamiltonian system, this work considers the learning and predict...

0 Xin Li, et al. ∙

research

∙ 08/22/2022

Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization

We propose and analyze several stochastic gradient algorithms for findin...

23 Zhize Li, et al. ∙

research

∙ 07/26/2022

Efficient Algorithms for Sparse Moment Problems without Separation

We consider the sparse moment problem of learning a k-spike mixture in h...

0 Zhiyuan Fan, et al. ∙

research

∙ 07/26/2022

Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability

Recent findings (e.g., arXiv:2103.00065) demonstrate that modern neural ...

0 Zhouzi Li, et al. ∙

research

∙ 07/21/2022

Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning

Despite the success of AI-enabled onboard perception, on-ramp merging ha...

0 Gaurav Bagwe, et al. ∙

research

∙ 06/06/2022

Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation

While large-scale neural language models, such as GPT2 and BART, have ac...

5 Jin Xu, et al. ∙

research

∙ 05/28/2022

Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model

Uncertainty quantification (UQ) of subsurface two-phase flow usually req...

0 Jian Li, et al. ∙

research

∙ 05/27/2022

Generalization Bounds for Gradient Methods via Discrete and Continuous Prior

Proving algorithm-dependent generalization error bounds for gradient-typ...

0 Jian Li, et al. ∙

research

∙ 05/23/2022

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification

Graph contrastive learning (GCL) has attracted a surge of attention due ...

0 Liang Zeng, et al. ∙

research

∙ 05/01/2022

Ridgeless Regression with Random Features

Recent theoretical studies illustrated that kernel ridgeless regression ...

0 Jian Li, et al. ∙

research

∙ 04/29/2022

Analysis of A New Time Filter Algorithm for The Unsteady Stokes/Darcy Model

This paper first presents a first order θ-scheme which is one parameter ...

0 Yi Qin, et al. ∙

research

∙ 04/22/2022

Sharper Utility Bounds for Differentially Private Models

In this paper, by introducing Generalized Bernstein condition, we propos...

0 Yilin Kang, et al. ∙

research

∙ 04/18/2022

A Deep Learning Galerkin Method for the Closed-Loop Geothermal System

There has been an arising trend of adopting deep learning methods to stu...

0 Wen Zhang, et al. ∙

research

∙ 04/11/2022

Stability and Generalization of Differentially Private Minimax Problems

In the field of machine learning, many problems can be formulated as the...

0 Yilin Kang, et al. ∙

research

∙ 02/26/2022

Model-free Reinforcement Learning for Content Caching at the Wireless Edge via Restless Bandits

An explosive growth in the number of on-demand content requests has impo...

0 Guojun Xiong, et al. ∙

research

∙ 02/13/2022

Generalized Unrelated Machine Scheduling Problem

We study the generalized load-balancing (GLB) problem, where we are give...

0 Shichuan Deng, et al. ∙

research

∙ 01/18/2022

Machine learning prediction for mean motion resonance behaviour – The planar case

Most recently, machine learning has been used to study the dynamics of i...

0 Xin Li, et al. ∙

research

∙ 01/12/2022

SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution

In the practical application of restoring low-resolution gray-scale imag...

11 Jiangning Zhang, et al. ∙

research

∙ 01/11/2022

CDNNs: The coupled deep neural networks for coupling of the Stokes and Darcy-Forchheimer problems

In this article, we present an efficient deep learning method called cou...

0 Jing Yue, et al. ∙

research

∙ 12/15/2021

Simultaneous Monitoring of a Large Number of Heterogeneous Categorical Data Streams

This article proposes a powerful scheme to monitor a large number of cat...

0 Kaizong Bai, et al. ∙

research

∙ 11/25/2021

AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020

Graph Neural Networks (GNNs) have become increasingly popular and achiev...

0 Jin Xu, et al. ∙

research

∙ 11/15/2021

Fidelity-Guarantee Entanglement Routing in Quantum Networks

Entanglement routing establishes remote entanglement connection between ...

0 Jian Li, et al. ∙

research

∙ 11/08/2021

ML-EXray: Visibility into ML Deployment on the Edge

Benefiting from expanding cloud infrastructure, deep neural networks (DN...

0 Hang Qiu, et al. ∙

research

∙ 10/19/2021

LSTC: Boosting Atomic Action Detection with Long-Short-Term Context

In this paper, we place the atomic action detection problem into a Long-...

0 Yuxi Li, et al. ∙

research

∙ 09/27/2021

FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding

The few-shot natural language understanding (NLU) task has attracted muc...

8 Yanan Zheng, et al. ∙

research

∙ 09/20/2021

Reinforcement Learning for Finite-Horizon Restless Multi-Armed Multi-Action Bandits

We study a finite-horizon restless multi-armed bandit problem with multi...

0 Guojun Xiong, et al. ∙

Jian Li

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