b'Peng Jiang'

research

∙ 08/18/2023

3D Model-free Visual localization System from Essential Matrix under Local Planar Motion

Visual localization plays a critical role in the functionality of low-co...

0 Yanmei Jiao, et al. ∙

research

∙ 08/11/2023

A Large Language Model Enhanced Conversational Recommender System

Conversational recommender systems (CRSs) aim to recommend high-quality ...

0 Yue Feng, et al. ∙

research

∙ 07/29/2023

Auditing Frameworks Need Resource Isolation: A Systematic Study on the Super Producer Threat to System Auditing and Its Mitigation

System auditing is a crucial technique for detecting APT attacks. Howeve...

0 Peng Jiang, et al. ∙

research

∙ 07/17/2023

Are we there yet? An Industrial Viewpoint on Provenance-based Endpoint Detection and Response Tools

Provenance-Based Endpoint Detection and Response (P-EDR) systems are dee...

0 Feng Dong, et al. ∙

research

∙ 06/17/2023

PIMMiner: A High-performance PIM Architecture-aware Graph Mining Framework

Graph mining applications, such as subgraph pattern matching and mining,...

0 Jiya Su, et al. ∙

research

∙ 06/06/2023

State Regularized Policy Optimization on Data with Dynamics Shift

In many real-world scenarios, Reinforcement Learning (RL) algorithms are...

0 Zhenghai Xue, et al. ∙

research

∙ 06/04/2023

Generative Flow Network for Listwise Recommendation

Personalized recommender systems fulfill the daily demands of customers ...

0 Shuchang Liu, et al. ∙

research

∙ 05/25/2023

Grouping Method for mmWave Massive MIMO System: Exploitation of Angular Multiplexing Gain

A future millimeter-wave (mmWave) massive multiple-input and multiple-ou...

0 Peng Jiang, et al. ∙

research

∙ 05/25/2023

Joint Precoding Design and Resource Allocation for C-RAN Wireless Fronthaul Systems

This paper investigates the resource allocation problem combined with fr...

0 Peng Jiang, et al. ∙

research

∙ 05/17/2023

Improving Extrinsics between RADAR and LIDAR using Learning

LIDAR and RADAR are two commonly used sensors in autonomous driving syst...

0 Peng Jiang, et al. ∙

research

∙ 02/09/2023

An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint

Online platforms often incentivize consumers to improve user engagement ...

0 Ziang Yan, et al. ∙

research

∙ 02/07/2023

Multi-Task Recommendations with Reinforcement Learning

In recent years, Multi-task Learning (MTL) has yielded immense success i...

0 Ziru Liu, et al. ∙

research

∙ 02/07/2023

Disentangled Causal Embedding With Contrastive Learning For Recommender System

Recommender systems usually rely on observed user interaction data to bu...

0 Weiqi Zhao, et al. ∙

research

∙ 02/03/2023

Reinforcing User Retention in a Billion Scale Short Video Recommender System

Recently, short video platforms have achieved rapid user growth by recom...

0 Qingpeng Cai, et al. ∙

research

∙ 02/03/2023

Two-Stage Constrained Actor-Critic for Short Video Recommendation

The wide popularity of short videos on social media poses new opportunit...

0 Qingpeng Cai, et al. ∙

research

∙ 12/18/2022

Automated Optical Inspection of FAST's Reflector Surface using Drones and Computer Vision

The Five-hundred-meter Aperture Spherical radio Telescope (FAST) is the ...

0 Jianan Li, et al. ∙

research

∙ 12/06/2022

PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement

Current advances in recommender systems have been remarkably successful ...

0 Wanqi Xue, et al. ∙

research

∙ 09/28/2022

Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification

Labeling medical images depends on professional knowledge, making it dif...

0 Peng Jiang, et al. ∙

research

∙ 07/04/2022

The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems

Set covering problem is an important class of combinatorial optimization...

0 Haofeng Yuan, et al. ∙

research

∙ 06/24/2022

Contrastive Learning of Features between Images and LiDAR

Image and Point Clouds provide different information for robots. Finding...

0 Peng Jiang, et al. ∙

research

∙ 06/13/2022

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation

Watch-time prediction remains to be a key factor in reinforcing user eng...

0 Ruohan Zhan, et al. ∙

research

∙ 06/10/2022

Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation

Relevant recommendation is a special recommendation scenario which provi...

0 Zihan Lin, et al. ∙

research

∙ 06/01/2022

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor

Long-term engagement is preferred over immediate engagement in sequentia...

1 Wanqi Xue, et al. ∙

research

∙ 05/29/2022

SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models

Large scale pre-training models have been widely used in named entity re...

0 Changyu Hou, et al. ∙

research

∙ 05/26/2022

Constrained Reinforcement Learning for Short Video Recommendation

The wide popularity of short videos on social media poses new opportunit...

1 Qingpeng Cai, et al. ∙

research

∙ 05/20/2022

A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels

Here we present a structural similarity index measure (SSIM) guided cond...

0 Jillur Rahman Saurav, et al. ∙

research

∙ 03/20/2022

Deep Learning based Intelligent Coin-tap Test for Defect Recognition

The coin-tap test is a convenient and primary method for non-destructive...

0 Hongyu Li, et al. ∙

research

∙ 02/22/2022

KuaiRec: A Fully-observed Dataset for Recommender Systems

Recommender systems are usually developed and evaluated on the historica...

0 Chongming Gao, et al. ∙

research

∙ 01/04/2022

C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System

Conversational recommender systems (CRS) aim to recommend suitable items...

9 Yuanhang Zhou, et al. ∙

research

∙ 11/29/2021

GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection

Pre-trained models have proved to be powerful in enhancing task-oriented...

0 Wanwei He, et al. ∙

research

∙ 09/21/2021

SemCal: Semantic LiDAR-Camera Calibration using Neural MutualInformation Estimator

This paper proposes SemCal: an automatic, targetless, extrinsic calibrat...

0 Peng Jiang, et al. ∙

research

∙ 04/24/2021

Calibrating LiDAR and Camera using Semantic Mutual information

We propose an algorithm for automatic, targetless, extrinsic calibration...

0 Peng Jiang, et al. ∙

research

∙ 03/23/2021

OFFSEG: A Semantic Segmentation Framework For Off-Road Driving

Off-road image semantic segmentation is challenging due to the presence ...

0 Kasi Viswanath, et al. ∙

research

∙ 02/19/2021

Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace

Scribble-supervised semantic segmentation has gained much attention rece...

0 Zhiyi Pan, et al. ∙

research

∙ 02/05/2021

Graph Attention Collaborative Similarity Embedding for Recommender System

We present Graph Attention Collaborative Similarity Embedding (GACSE), a...

0 Jinbo Song, et al. ∙

research

∙ 01/19/2021

Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks

Training Graph Convolutional Networks (GCNs) is expensive as it needs to...

0 Peng Jiang, et al. ∙

research

∙ 11/17/2020

RELLIS-3D Dataset: Data, Benchmarks and Analysis

Semantic scene understanding is crucial for robust and safe autonomous n...

0 Peng Jiang, et al. ∙

research

∙ 11/11/2020

Scribble-Supervised Semantic Segmentation by Random Walk on Neural Representation and Self-Supervision on Neural Eigenspace

Scribble-supervised semantic segmentation has gained much attention rece...

2 Zhiyi Pan, et al. ∙

research

∙ 10/23/2020

NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation

Learning informative representations (aka. embeddings) of users and item...

0 Jinbo Song, et al. ∙

research

∙ 07/13/2020

Adaptive Periodic Averaging: A Practical Approach to Reducing Communication in Distributed Learning

Stochastic Gradient Descent (SGD) is the key learning algorithm for many...

0 Peng Jiang, et al. ∙

research

∙ 06/29/2020

An enhanced finite difference time domain method for two dimensional Maxwell's equations

An efficient finite-difference time-domain (FDTD) algorithm is built to ...

0 Timothy Meagher, et al. ∙

research

∙ 05/23/2020

Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users

Static recommendation methods like collaborative filtering suffer from t...

0 Shijun Li, et al. ∙

research

∙ 03/29/2020

Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network

This research proposes a Ground Penetrating Radar (GPR) data processing ...

7 Senlin Yang, et al. ∙

research

∙ 03/11/2020

Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds

Instance segmentation in point clouds is one of the most fine-grained wa...

0 Guangnan Wu, et al. ∙

research

∙ 03/02/2020

LiDARNet: A Boundary-Aware Domain Adaptation Model for Lidar Point Cloud Semantic Segmentation

We present a boundary-aware domain adaptation model for Lidar point clou...

0 Peng Jiang, et al. ∙

research

∙ 12/12/2019

GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining

A DNN architecture called GPRInvNet is proposed to tackle the challenge ...

15 Bin Liu, et al. ∙

research

∙ 04/17/2019

Compositional Network Embedding

Network embedding has proved extremely useful in a variety of network an...

0 Tianshu Lyu, et al. ∙

research

∙ 04/15/2019

Personalized Context-aware Re-ranking for E-commerce Recommender Systems

Ranking is a core task in E-commerce recommender systems, which aims at ...

0 Changhua Pei, et al. ∙

research

∙ 04/14/2019

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Modeling users' dynamic and evolving preferences from their historical b...

0 Fei Sun, et al. ∙

research

∙ 04/10/2019

Deep Learning Inversion of Electrical Resistivity Data

The inverse problem of electrical resistivity surveys (ERS) is difficult...

20 Bin Liu, et al. ∙

Peng Jiang

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