b'Hong Chen'

research

∙ 09/09/2023

A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining

Educational Data Mining (EDM) has emerged as a vital field of research, ...

0 Yuanguo Lin, et al. ∙

research

∙ 09/05/2023

SAM-Deblur: Let Segment Anything Boost Image Deblurring

Image deblurring is a critical task in the field of image restoration, a...

0 Siwei Li, et al. ∙

research

∙ 08/23/2023

Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch

Semi-Supervised Learning (SSL) under class distribution mismatch aims to...

0 Pan Du, et al. ∙

research

∙ 08/23/2023

A deep reinforcement learning approach for real-time demand-responsive railway rescheduling to mitigate station overcrowding using mobile data

Real-time railway rescheduling is a timely and flexible technique to aut...

0 Enze Liu, et al. ∙

research

∙ 08/20/2023

Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks

Spiking neural networks (SNNs) have tremendous potential for energy-effi...

0 Mingxuan Liu, et al. ∙

research

∙ 07/06/2023

Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics

Linguistic style matching (LSM) in conversations can be reflective of se...

0 Aparna Ananthasubramaniam, et al. ∙

research

∙ 05/22/2023

ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer

Text-to-speech(TTS) has undergone remarkable improvements in performance...

0 Huadai Liu, et al. ∙

research

∙ 05/17/2023

CageViT: Convolutional Activation Guided Efficient Vision Transformer

Recently, Transformers have emerged as the go-to architecture for both v...

0 Hao Zheng, et al. ∙

research

∙ 05/05/2023

DisenBooth: Disentangled Parameter-Efficient Tuning for Subject-Driven Text-to-Image Generation

Given a small set of images of a specific subject, subject-driven text-t...

0 Hong Chen, et al. ∙

research

∙ 05/02/2023

Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective

Recently, information theoretic analysis has become a popular framework ...

0 Yuxin Dong, et al. ∙

research

∙ 04/11/2023

Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model

Federated Learning, as a popular paradigm for collaborative training, is...

0 Yixuan Liu, et al. ∙

research

∙ 03/16/2023

DIRE for Diffusion-Generated Image Detection

Diffusion models have shown remarkable success in visual synthesis, but ...

0 Zhendong Wang, et al. ∙

research

∙ 02/21/2023

Stepdown SLOPE for Controlled Feature Selection

Sorted L-One Penalized Estimation (SLOPE) has shown the nice theoretical...

0 Jingxuan Liang, et al. ∙

research

∙ 02/20/2023

Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning

Recently, some mixture algorithms of pointwise and pairwise learning (PP...

0 Jiahuan Wang, et al. ∙

research

∙ 02/20/2023

On the Stability and Generalization of Triplet Learning

Triplet learning, i.e. learning from triplet data, has attracted much at...

0 Jun Chen, et al. ∙

research

∙ 01/28/2023

Wireless and Service Allocation for Mobile Computation Offloading with Task Deadlines

In mobile computation offloading (MCO), mobile devices (MDs) can choose ...

0 Hong Chen, et al. ∙

research

∙ 12/07/2022

On the Global Solution of Soft k-Means

This paper presents an algorithm to solve the Soft k-Means problem globa...

0 Feiping Nie, et al. ∙

research

∙ 11/30/2022

Robust and Fast Measure of Information via Low-rank Representation

The matrix-based Rényi's entropy allows us to directly quantify informat...

0 Yuxin Dong, et al. ∙

research

∙ 11/21/2022

Disentangled Representation Learning

Disentangled Representation Learning (DRL) aims to learn a model capable...

0 Xin Wang, et al. ∙

research

∙ 10/16/2022

Character-Centric Story Visualization via Visual Planning and Token Alignment

Story visualization advances the traditional text-to-image generation by...

1 Hong Chen, et al. ∙

research

∙ 10/16/2022

StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning

Existing automatic story evaluation methods place a premium on story lex...

0 Hong Chen, et al. ∙

research

∙ 09/28/2022

Global Weighted Tensor Nuclear Norm for Tensor Robust Principal Component Analysis

Tensor Robust Principal Component Analysis (TRPCA), which aims to recove...

0 Libin Wang, et al. ∙

research

∙ 08/31/2022

NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results

We present the design and baseline results for a new challenge in the Ch...

24 Dustin Carrión-Ojeda, et al. ∙

research

∙ 08/23/2022

Bag of Tricks for Out-of-Distribution Generalization

Recently, out-of-distribution (OOD) generalization has attracted attenti...

0 Zining Chen, et al. ∙

research

∙ 08/20/2022

AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments

The task of argument mining aims to detect all possible argumentative co...

0 fcq, et al. ∙

research

∙ 06/15/2022

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification

Although deep neural networks are capable of achieving performance super...

18 Adrian El Baz, et al. ∙

research

∙ 05/04/2022

Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts

Stories or narratives are comprised of a sequence of events. To compose ...

4 Rujun Han, et al. ∙

research

∙ 04/18/2022

OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval

Retrieving tracked-vehicles by natural language descriptions plays a cri...

0 Yunhao Du, et al. ∙

research

∙ 04/18/2022

PrivateRec: Differentially Private Training and Serving for Federated News Recommendation

Privacy protection is an essential issue in personalized news recommenda...

0 Ruixuan Liu, et al. ∙

research

∙ 03/28/2022

FLDP: Flexible strategy for local differential privacy

Local differential privacy (LDP), a technique applying unbiased statisti...

0 Dan Zhao, et al. ∙

research

∙ 03/28/2022

NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge

Novel object captioning aims at describing objects absent from training ...

0 Duc Minh Vo, et al. ∙

research

∙ 03/09/2022

Error-based Knockoffs Inference for Controlled Feature Selection

Recently, the scheme of model-X knockoffs was proposed as a promising so...

0 Xuebin Zhao, et al. ∙

research

∙ 02/16/2022

No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices

Federated learning (FL) is an important paradigm for training global mod...

0 Ruixuan Liu, et al. ∙

research

∙ 01/07/2022

An Accelerator for Rule Induction in Fuzzy Rough Theory

Rule-based classifier, that extract a subset of induced rules to efficie...

0 Suyun Zhao, et al. ∙

research

∙ 12/27/2021

Computationally Efficient Approximations for Matrix-based Renyi's Entropy

The recently developed matrix based Renyi's entropy enables measurement ...

14 Tieliang Gong, et al. ∙

research

∙ 12/12/2021

Markov subsampling based Huber Criterion

Subsampling is an important technique to tackle the computational challe...

3 Tieliang Gong, et al. ∙

research

∙ 12/09/2021

Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment

Modal regression, a widely used regression protocol, has been extensivel...

9 Tielang Gong, et al. ∙

research

∙ 10/20/2021

SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation

Generating texts in scientific papers requires not only capturing the co...

0 Hong Chen, et al. ∙

research

∙ 02/05/2021

GraphPlan: Story Generation by Planning with Event Graph

Story generation is a task that aims to automatically produce multiple s...

0 Hong Chen, et al. ∙

research

∙ 02/05/2021

Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling

Visual storytelling is a task of generating relevant and interesting sto...

4 Hong Chen, et al. ∙

research

∙ 12/28/2020

Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach

The proliferation of massive open online courses (MOOCs) demands an effe...

0 Bowen Hao, et al. ∙

research

∙ 12/14/2020

COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking

Expert finding, a popular service provided by many online websites such ...

0 Bo Chen, et al. ∙

research

∙ 12/13/2020

Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation

Cold-start problem is a fundamental challenge for recommendation tasks. ...

0 Bowen Hao, et al. ∙

research

∙ 09/17/2020

FLAME: Differentially Private Federated Learning in the Shuffle Model

Differentially private federated learning has been intensively studied. ...

0 Ruixuan Liu, et al. ∙

research

∙ 03/24/2020

FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection

As massive data are produced from small gadgets, federated learning on m...

0 Ruixuan Liu, et al. ∙

research

∙ 11/22/2019

Robust Learning-based Predictive Control for Constrained Nonlinear Systems

The integration of machine learning methods and Model Predictive Control...

0 Xinglong Zhang, et al. ∙

research

∙ 10/31/2019

Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven Dialogue

This paper proposes a deep neural network model for joint modeling Natur...

0 Yue Ma, et al. ∙

research

∙ 10/29/2019

RAKA:Co-training of Relationships and Attributes for Cross-lingual Knowledge Alignment

Cross-lingual knowledge alignment suffers from the attribute heterogenei...

0 Bo Chen, et al. ∙

research

∙ 12/12/2018

Image Segmentation Based on Multiscale Fast Spectral Clustering

In recent years, spectral clustering has become one of the most popular ...

8 Chongyang Zhang, et al. ∙

research

∙ 10/23/2018

PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution

We introduce PreCo, a large-scale English dataset for coreference resolu...

0 Hong Chen, et al. ∙

Hong Chen

Featured Co-authors