b'Jian Li'

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...

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 ...

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...

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...

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...

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...

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 ...

Liang Zeng, et al. ∙

research

∙ 05/01/2022

Ridgeless Regression with Random Features

Recent theoretical studies illustrated that kernel ridgeless regression ...

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 ...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

Jin Xu, et al. ∙

research

∙ 11/15/2021

Fidelity-Guarantee Entanglement Routing in Quantum Networks

Entanglement routing establishes remote entanglement connection between ...

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...

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-...

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...

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...

Guojun Xiong, et al. ∙

research

∙ 09/12/2021

Critical Learning Periods in Federated Learning

Federated learning (FL) is a popular technique to train machine learning...

Gang Yan, et al. ∙

research

∙ 08/31/2021

Unsupervised Open-Domain Question Answering

Open-domain Question Answering (ODQA) has achieved significant results i...

Pengfei Zhu, et al. ∙

research

∙ 08/29/2021

Analyzing and Mitigating Interference in Neural Architecture Search

Weight sharing has become the de facto approach to reduce the training c...

Jin Xu, et al. ∙

research

∙ 08/28/2021

Harvesting Idle Resources in Serverless Computing via Reinforcement Learning

Serverless computing has become a new cloud computing paradigm that prom...

Hanfei Yu, et al. ∙

research

∙ 08/19/2021

Routing in Small Satellite Networks: A GNN-based Learning Approach

Small satellite networks (SSNs), which are constructed by large number o...

Mengjie Liu, et al. ∙

research

∙ 08/13/2021

FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning

Most previous methods for text data augmentation are limited to simple t...

Jing Zhou, et al. ∙

research

∙ 07/13/2021

Markov Game with Switching Costs

We study a general Markov game with metric switching costs: in each roun...

Jian Li, et al. ∙

research

∙ 06/16/2021

Discrete Auto-regressive Variational Attention Models for Text Modeling

Variational autoencoders (VAEs) have been widely applied for text modeli...

Xianghong Fang, et al. ∙

research

∙ 06/12/2021

Simple Combinatorial Algorithms for Combinatorial Bandits: Corruptions and Approximations

We consider the stochastic combinatorial semi-bandit problem with advers...

Haike Xu, et al. ∙

research

∙ 06/10/2021

Graph Symbiosis Learning

We introduce a framework for learning from multiple generated graph view...

Liang Zeng, et al. ∙

research

∙ 05/31/2021

Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model

Inspired by biological evolution, we explain the rationality of Vision T...

Jiangning Zhang, et al. ∙

research

∙ 05/30/2021

NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search

While pre-trained language models (e.g., BERT) have achieved impressive ...

Jin Xu, et al. ∙

research

∙ 05/07/2021

Differential Privacy for Pairwise Learning: Non-convex Analysis

Pairwise learning focuses on learning tasks with pairwise loss functions...

Yilin Kang, et al. ∙

research

∙ 02/25/2021

Design and Control of a Highly Redundant Rigid-Flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling

The outbreak of novel coronavirus pneumonia (COVID-19) has caused mortal...

Yingbai Hu, et al. ∙

research

∙ 02/22/2021

Return-Based Contrastive Representation Learning for Reinforcement Learning

Recently, various auxiliary tasks have been proposed to accelerate repre...

Guoqing Liu, et al. ∙

research

∙ 02/11/2021

Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers

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

Guojun Xiong, et al. ∙

research

∙ 01/14/2021

On the quantization of recurrent neural networks

Integer quantization of neural networks can be defined as the approximat...

Jian Li, et al. ∙

research

∙ 01/10/2021

Learning Augmented Index Policy for Optimal Service Placement at the Network Edge

We consider the problem of service placement at the network edge, in whi...

Guojun Xiong, et al. ∙

research

∙ 11/10/2020

Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems

While many distributed optimization algorithms have been proposed for so...

Zhiguo Wang, et al. ∙

research

∙ 10/17/2020

TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems

Deep learning inference on embedded devices is a burgeoning field with m...

Robert David, et al. ∙

research

∙ 10/03/2020

DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis

Modern machine learning models (such as deep neural networks and boostin...

Chuheng Zhang, et al. ∙

research

∙ 10/02/2020

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction

Click-through rate (CTR) prediction is one of the fundamental tasks for ...

Hu Liu, et al. ∙

research

∙ 09/28/2020

Loosely Coupled Federated Learning Over Generative Models

Federated learning (FL) was proposed to achieve collaborative machine le...

Shaoming Song, et al. ∙

research

∙ 09/18/2020

The Deep Learning Galerkin Method for the General Stokes Equations

The finite element method, finite difference method, finite volume metho...

Jian Li, et al. ∙

research

∙ 08/18/2020

Decoupled Modified Characteristic Finite Element Method with Different Subdomain Time Steps for Nonstationary Dual-Porosity-Navier-Stokes Model

In this paper, we develop the numerical theory of decoupled modified cha...

Luling Cao, et al. ∙

research

∙ 08/09/2020

LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition

Speech synthesis (text to speech, TTS) and recognition (automatic speech...

Jin Xu, et al. ∙

Jian Li

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