b'Tong Xu'

research

∙ 08/23/2023

CgT-GAN: CLIP-guided Text GAN for Image Captioning

The large-scale visual-language pre-trained model, Contrastive Language-...

0 Jiarui Yu, et al. ∙

research

∙ 07/19/2023

Multi-Grained Multimodal Interaction Network for Entity Linking

Multimodal entity linking (MEL) task, which aims at resolving ambiguous ...

0 Pengfei Luo, et al. ∙

research

∙ 06/26/2023

A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference

Affordance-centric Question-driven Task Completion (AQTC) for Egocentric...

0 Chao Zhang, et al. ∙

research

∙ 06/23/2023

A Survey on Multimodal Large Language Models

Multimodal Large Language Model (MLLM) recently has been a new rising re...

0 Shukang Yin, et al. ∙

research

∙ 06/21/2023

Spatial Heterophily Aware Graph Neural Networks

Graph Neural Networks (GNNs) have been broadly applied in many urban app...

0 Congxi Xiao, et al. ∙

research

∙ 06/15/2023

Multi-Temporal Relationship Inference in Urban Areas

Finding multiple temporal relationships among locations can benefit a bu...

0 Shuangli Li, et al. ∙

research

∙ 05/24/2023

Reversible Graph Neural Network-based Reaction Distribution Learning for Multiple Appropriate Facial Reactions Generation

Generating facial reactions in a human-human dyadic interaction is compl...

0 Tong Xu, et al. ∙

research

∙ 05/21/2023

Social Context-aware GCN for Video Character Search via Scene-prior Enhancement

With the increasing demand for intelligent services of online video plat...

0 Wenjun Peng, et al. ∙

research

∙ 05/17/2023

Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark

Large language models (LLMs) have demonstrated powerful capabilities in ...

0 Wenjun Peng, et al. ∙

research

∙ 03/16/2023

AU-aware graph convolutional network for Macro- and Micro-expression spotting

Automatic Micro-Expression (ME) spotting in long videos is a crucial ste...

0 Shukang Yin, et al. ∙

research

∙ 02/23/2023

Federated Nearest Neighbor Machine Translation

To protect user privacy and meet legal regulations, federated learning (...

0 Yichao Du, et al. ∙

research

∙ 02/23/2023

Simple and Scalable Nearest Neighbor Machine Translation

kNN-MT is a straightforward yet powerful approach for fast domain adapta...

0 Yuhan Dai, et al. ∙

research

∙ 01/30/2023

DAFD: Domain Adaptation via Feature Disentanglement for Image Classification

A good feature representation is the key to image classification. In pra...

0 Zhize Wu, et al. ∙

research

∙ 01/05/2023

Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach

Although remarkable progress on the neural table-to-text methods has bee...

0 Miao Chen, et al. ∙

research

∙ 01/03/2023

More is Better: A Database for Spontaneous Micro-Expression with High Frame Rates

As one of the most important psychic stress reactions, micro-expressions...

8 Sirui Zhao, et al. ∙

research

∙ 12/21/2022

Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks

A computational graph in a deep neural network (DNN) denotes a specific ...

0 Rusheng Pan, et al. ∙

research

∙ 11/26/2022

A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection

Urban villages (UVs) refer to the underdeveloped informal settlement fal...

0 Congxi Xiao, et al. ∙

research

∙ 11/02/2022

BATT: Backdoor Attack with Transformation-based Triggers

Deep neural networks (DNNs) are vulnerable to backdoor attacks. The back...

0 Tong Xu, et al. ∙

research

∙ 08/05/2022

Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation

As a study on the efficient usage of data, Multi-source Unsupervised Dom...

0 Tong Xu, et al. ∙

research

∙ 06/21/2022

Efficient Inference of Spatially-varying Gaussian Markov Random Fields with Applications in Gene Regulatory Networks

In this paper, we study the problem of inferring spatially-varying Gauss...

0 Visweswaran Ravikumar, et al. ∙

research

∙ 06/20/2022

Winning the CVPR'2022 AQTC Challenge: A Two-stage Function-centric Approach

Affordance-centric Question-driven Task Completion for Egocentric Assist...

0 Shiwei Wu, et al. ∙

research

∙ 06/07/2022

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning

Vertical federated learning (VFL) is a privacy-preserving machine learni...

0 Tao Qi, et al. ∙

research

∙ 05/23/2022

Non-Parametric Domain Adaptation for End-to-End Speech Translation

End-to-End Speech Translation (E2E-ST) has received increasing attention...

0 Yichao Du, et al. ∙

research

∙ 04/20/2022

Attention in Attention: Modeling Context Correlation for Efficient Video Classification

Attention mechanisms have significantly boosted the performance of video...

0 Yanbin Hao, et al. ∙

research

∙ 04/19/2022

AutoField: Automating Feature Selection in Deep Recommender Systems

Feature quality has an impactful effect on recommendation performance. T...

0 Yejing Wang, et al. ∙

research

∙ 02/12/2022

Domain-Invariant Proposals based on a Balanced Domain Classifier for Object Detection

Object recognition from images means to automatically find object(s) of ...

11 Zhize Wu, et al. ∙

research

∙ 12/21/2021

Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement

End-to-end speech-to-text translation (E2E-ST) is becoming increasingly ...

0 Yichao Du, et al. ∙

research

∙ 12/08/2021

VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction

With the booming of pre-trained transformers, remarkable progress has be...

0 Dan Li, et al. ∙

research

∙ 09/24/2021

Adversarial Neural Trip Recommendation

Trip recommender system, which targets at recommending a trip consisting...

0 Linlang Jiang, et al. ∙

research

∙ 09/24/2021

GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction

Recently many efforts have been devoted to applying graph neural network...

0 Shuangli Li, et al. ∙

research

∙ 07/21/2021

Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity

Drug discovery often relies on the successful prediction of protein-liga...

0 Shuangli Li, et al. ∙

research

∙ 02/15/2021

Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning

Electric Vehicle (EV) has become a preferable choice in the modern trans...

0 Weijia Zhang, et al. ∙

research

∙ 02/06/2021

Drug Package Recommendation via Interaction-aware Graph Induction

Recent years have witnessed the rapid accumulation of massive electronic...

3 Zhi Zheng, et al. ∙

research

∙ 01/29/2021

Out-of-Town Recommendation with Travel Intention Modeling

Out-of-town recommendation is designed for those users who leave their h...

0 Haoran Xin, et al. ∙

research

∙ 01/01/2021

Adam revisited: a weighted past gradients perspective

Adaptive learning rate methods have been successfully applied in many fi...

0 Hui Zhong, et al. ∙

research

∙ 12/17/2020

Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction

Accurately predicting the binding affinity between drugs and proteins is...

0 Jingbo Zhou, et al. ∙

research

∙ 12/04/2020

Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation

Reinforcement learning (RL) has shown great promise in optimizing long-t...

0 Yanan Wang, et al. ∙

research

∙ 07/13/2020

CenterNet3D:An Anchor free Object Detector for Autonomous Driving

Accurate and fast 3D object detection from point clouds is a key task in...

40 Guojun Wang, et al. ∙

research

∙ 07/03/2020

Disentangled Graph Collaborative Filtering

Learning informative representations of users and items from the interac...

0 Xiang Wang, et al. ∙

research

∙ 06/16/2020

Foreground-Background Imbalance Problem in Deep Object Detectors: A Review

Recent years have witnessed the remarkable developments made by deep lea...

0 Joya Chen, et al. ∙

research

∙ 11/21/2019

Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring – The Winning Solution of the 2017 International Aftershock Detection Contest

Identifying the arrival times of seismic P-phases plays a significant ro...

0 Dazhong Shen, et al. ∙

research

∙ 09/11/2019

Are Sampling Heuristics Necessary in Object Detectors?

The prevalent object detectors to date, such as Faster R-CNN and RetinaN...

0 Joya Chen, et al. ∙

research

∙ 08/28/2019

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control

The development of intelligent traffic light control systems is essentia...

13 Yanan Wang, et al. ∙

research

∙ 08/24/2019

Residual Objectness for Imbalance Reduction

For a long time, object detectors have suffered from extreme imbalance b...

0 Joya Chen, et al. ∙

research

∙ 06/03/2019

Chinese Embedding via Stroke and Glyph Information: A Dual-channel View

Recent studies have consistently given positive hints that morphology is...

0 Hanqing Tao, et al. ∙

research

∙ 05/27/2019

MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network

Recently, the Network Representation Learning (NRL) techniques, which re...

0 Hao Wang, et al. ∙

research

∙ 12/21/2018

Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach

The wide spread use of online recruitment services has led to informatio...

14 Chuan Qin, et al. ∙

research

∙ 12/06/2017

Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach

To cope with the accelerating pace of technological changes, talents are...

0 Tong Xu, et al. ∙

Tong Xu

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