b'Di Wang'

research

∙ 09/08/2023

Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos

Data silos, mainly caused by privacy and interoperability, significantly...

0 Di Wang, et al. ∙

research

∙ 08/22/2023

Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registration

Misalignments between multi-modality images pose challenges in image fus...

0 Di Wang, et al. ∙

research

∙ 08/11/2023

Cost-effective On-device Continual Learning over Memory Hierarchy with Miro

Continual learning (CL) trains NN models incrementally from a continuous...

0 Xinyue Ma, et al. ∙

research

∙ 08/01/2023

Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems

The Traveling Salesman Problem (TSP) is a well-known problem in combinat...

0 Yubin Xiao, et al. ∙

research

∙ 07/18/2023

Newtonian Program Analysis of Probabilistic Programs

Due to their quantitative nature, probabilistic programs pose non-trivia...

0 Di Wang, et al. ∙

research

∙ 06/18/2023

On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization

Actor-critic algorithms have shown remarkable success in solving state-o...

0 Mudit Gaur, et al. ∙

research

∙ 06/01/2023

Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards

In this paper, we study the problem of (finite horizon tabular) Markov d...

0 Yulian Wu, et al. ∙

research

∙ 05/26/2023

Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks

Recently, significant progress has been made in understanding the genera...

0 Puyu Wang, et al. ∙

research

∙ 05/24/2023

Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions

In recent years, low-carbon transportation has become an indispensable p...

0 Yue Cao, et al. ∙

research

∙ 05/17/2023

An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection

This research focuses on the discovery and localization of hidden object...

0 Di Wang, et al. ∙

research

∙ 04/23/2023

GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning

As deep learning continues to advance and is applied to increasingly com...

0 Yongbo Yu, et al. ∙

research

∙ 04/23/2023

HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search

Recent neural architecture search (NAS) based approaches have made great...

0 Di Wang, et al. ∙

research

∙ 04/15/2023

Practical Differentially Private and Byzantine-resilient Federated Learning

Privacy and Byzantine resilience are two indispensable requirements for ...

5 Zihang Xiang, et al. ∙

research

∙ 04/06/2023

Inductive Graph Unlearning

As a way to implement the "right to be forgotten" in machine learning, m...

0 Cheng-Long Wang, et al. ∙

research

∙ 03/31/2023

Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited

In this paper, we revisit the problem of Differentially Private Stochast...

0 Jinyan Su, et al. ∙

research

∙ 03/20/2023

DIME-Net: Neural Network-Based Dynamic Intrinsic Parameter Rectification for Cameras with Optical Image Stabilization System

Optical Image Stabilization (OIS) system in mobile devices reduces image...

0 Shu-Hao Yeh, et al. ∙

research

∙ 03/08/2023

Sketching with Spherical Designs for Noisy Data Fitting on Spheres

This paper proposes a sketching strategy based on spherical designs, whi...

0 Shao-Bo Lin, et al. ∙

research

∙ 02/22/2023

Incorporating External Risk Information with the Cox Model under Population Heterogeneity: Applications to Trans-Ancestry Polygenic Hazard Scores

Polygenic hazard score (PHS) models designed for European ancestry (EUR)...

0 Di Wang, et al. ∙

research

∙ 02/21/2023

Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes

In recent years, large amounts of electronic health records (EHRs) conce...

0 Di Wang, et al. ∙

research

∙ 02/20/2023

Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI

Heterogeneous data is endemic due to the use of diverse models and setti...

0 Juexiao Zhou, et al. ∙

research

∙ 02/16/2023

Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning

In this paper, we investigate the problem of episodic reinforcement lear...

0 Bhargav Ganguly, et al. ∙

research

∙ 02/16/2023

Joint Feedback Loop for Spend and Return-On-Spend Constraints

Budget pacing is a popular service that has been offered by major intern...

0 Santiago R. Balseiro, et al. ∙

research

∙ 02/06/2023

On Private and Robust Bandits

We study private and robust multi-armed bandits (MABs), where the agent ...

0 Yulian Wu, et al. ∙

research

∙ 02/03/2023

Robust Budget Pacing with a Single Sample

Major Internet advertising platforms offer budget pacing tools as a stan...

0 Santiago Balseiro, et al. ∙

research

∙ 01/23/2023

Quantum Heavy-tailed Bandits

In this paper, we study multi-armed bandits (MAB) and stochastic linear ...

0 Yulian Wu, et al. ∙

research

∙ 01/21/2023

CoBigICP: Robust and Precise Point Set Registration using Correntropy Metrics and Bidirectional Correspondence

In this paper, we propose a novel probabilistic variant of iterative clo...

0 Pengyu Yin, et al. ∙

research

∙ 01/17/2023

USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval

As a fundamental and challenging task in bridging language and vision do...

0 Yan Zhang, et al. ∙

research

∙ 01/11/2023

Loss-Controlling Calibration for Predictive Models

We propose a learning framework for calibrating predictive models to mak...

0 Di Wang, et al. ∙

research

∙ 01/04/2023

Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer

Recent studies on knowledge graphs (KGs) show that path-based methods em...

0 Zhixiang Su, et al. ∙

research

∙ 12/31/2022

Broad Learning System with Takagi-Sugeno Fuzzy Subsystem for Tobacco Origin Identification based on Near Infrared Spectroscopy

Tobacco origin identification is significantly important in tobacco indu...

0 Di Wang, et al. ∙

research

∙ 12/30/2022

Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery

This paper studies the quantization of heavy-tailed data in some fundame...

0 Junren Chen, et al. ∙

research

∙ 12/24/2022

Intelligent Feature Extraction, Data Fusion and Detection of Concrete Bridge Cracks: Current Development and Challenges

As a common appearance defect of concrete bridges, cracks are important ...

0 Di Wang, et al. ∙

research

∙ 11/23/2022

SEAT: Stable and Explainable Attention

Currently, attention mechanism becomes a standard fixture in most state-...

0 Lijie Hu, et al. ∙

research

∙ 11/19/2022

Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement

Underwater image enhancement has become an attractive topic as a signifi...

0 Di Wang, et al. ∙

research

∙ 10/07/2022

1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct)

Recent years have seen advances on principles and guidance relating to a...

0 Hao Wang, et al. ∙

research

∙ 10/03/2022

On Stability and Generalization of Bilevel Optimization Problem

(Stochastic) bilevel optimization is a frequently encountered problem in...

0 Meng Ding, et al. ∙

research

∙ 09/17/2022

On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data

In this paper, we study the problem of PAC learning halfspaces in the no...

0 Jinyan Su, et al. ∙

research

∙ 09/16/2022

Truthful Generalized Linear Models

In this paper we study estimating Generalized Linear Models (GLMs) in th...

0 Yuan Qiu, et al. ∙

research

∙ 09/10/2022

Pay Attention to Hard Trials

Performance of speaker recognition systems is evaluated on test trials. ...

0 Lantian Li, et al. ∙

research

∙ 08/29/2022

Online Bidding Algorithms for Return-on-Spend Constrained Advertisers

Online advertising has recently grown into a highly competitive and comp...

0 Zhe Feng, et al. ∙

research

∙ 08/10/2022

KL-divergence Based Deep Learning for Discrete Time Model

Neural Network (Deep Learning) is a modern model in Artificial Intellige...

0 Li Liu, et al. ∙

research

∙ 07/22/2022

Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies

Deep neural networks currently provide the most advanced and accurate ma...

62 Di Wang, et al. ∙

research

∙ 07/19/2022

Prior-Independent Auctions for Heterogeneous Bidders

We study the design of prior-independent auctions in a setting with hete...

0 Guru Guruganesh, et al. ∙

research

∙ 05/24/2022

Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration

Recent learning-based image fusion methods have marked numerous progress...

0 Di Wang, et al. ∙

research

∙ 03/29/2022

High-Dimensional Vector Autoregression with Common Response and Predictor Factors

Reinterpreting the reduced-rank vector autoregressive (VAR) model of ord...

0 Di Wang, et al. ∙

research

∙ 03/17/2022

A Survey of Multi-Tenant Deep Learning Inference on GPU

Deep Learning (DL) models have achieved superior performance. Meanwhile,...

0 Fuxun Yu, et al. ∙

research

∙ 03/06/2022

C-P Map: A Novel Evaluation Toolkit for Speaker Verification

Evaluation trials are used to probe performance of automatic speaker ver...

0 Lantian Li, et al. ∙

research

∙ 02/26/2022

High Dimensional Statistical Estimation under One-bit Quantization

Compared with data with high precision, one-bit (binary) data are prefer...

0 Junren Chen, et al. ∙

research

∙ 01/23/2022

Accelerated numerical algorithms for steady states of Gross-Pitaevskii equations coupled with microwaves

We present two accelerated numerical algorithms for single-component and...

0 Di Wang, et al. ∙

research

∙ 01/10/2022

Differentially Private ℓ_1-norm Linear Regression with Heavy-tailed Data

We study the problem of Differentially Private Stochastic Convex Optimiz...

0 Di Wang, et al. ∙

Di Wang

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