b'Bo Chen'

research

∙ 09/12/2023

HAMUR: Hyper Adapter for Multi-Domain Recommendation

Multi-Domain Recommendation (MDR) has gained significant attention in re...

0 Xiaopeng Li, et al. ∙

research

∙ 09/05/2023

Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation

Click-Through Rate (CTR) prediction is a fundamental technique in recomm...

0 Jingtong Gao, et al. ∙

research

∙ 08/22/2023

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation

With large language models (LLMs) achieving remarkable breakthroughs in ...

0 Jianghao Lin, et al. ∙

research

∙ 08/18/2023

A hybrid Decoder-DeepONet operator regression framework for unaligned observation data

Deep neural operators (DNOs) have been utilized to approximate nonlinear...

0 Bo Chen, et al. ∙

research

∙ 08/14/2023

AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation

In the domain of streaming recommender systems, conventional methods for...

0 Ziru Liu, et al. ∙

research

∙ 08/11/2023

A direct sampling method based on the Green's function for time-dependent inverse scattering problems

This paper concerns the numerical simulation of time domain inverse acou...

0 Qingqing Yu, et al. ∙

research

∙ 08/10/2023

A novel sampling method for time domain acoustic inverse source problems

This paper is concerned with the inverse acoustic scattering problems of...

0 Jiaru Wang, et al. ∙

research

∙ 08/06/2023

Prototypes-oriented Transductive Few-shot Learning with Conditional Transport

Transductive Few-Shot Learning (TFSL) has recently attracted increasing ...

0 Long Tian, et al. ∙

research

∙ 08/06/2023

CDT-Dijkstra: Fast Planning of Globally Optimal Paths for All Points in 2D Continuous Space

The Dijkstra algorithm is a classic path planning method, which in a dis...

0 Jinyuan Liu, et al. ∙

research

∙ 07/18/2023

PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification

Multi-label image classification is a prediction task that aims to ident...

0 Miaoge Li, et al. ∙

research

∙ 06/27/2023

DeepStream: Bandwidth Efficient Multi-Camera Video Streaming for Deep Learning Analytics

Deep learning video analytic systems process live video feeds from multi...

0 Hongpeng Guo, et al. ∙

research

∙ 06/09/2023

How Can Recommender Systems Benefit from Large Language Models: A Survey

Recommender systems (RS) play important roles to match users' informatio...

0 Jianghao Lin, et al. ∙

research

∙ 06/05/2023

CTRL: Connect Tabular and Language Model for CTR Prediction

Traditional click-through rate (CTR) prediction models convert the tabul...

0 Xiangyang Li, et al. ∙

research

∙ 03/16/2023

Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models

For downstream applications of vision-language pre-trained models, there...

0 Xinyang Liu, et al. ∙

research

∙ 02/25/2023

Homotopy Path Class Encoder Based on Convex Dissection Topology

The concept of path homotopy has received widely attention in the field ...

0 Jinyuan Liu, et al. ∙

research

∙ 02/07/2023

Multi-Task Deep Recommender Systems: A Survey

Multi-task learning (MTL) aims at learning related tasks in a unified mo...

0 Yuhao Wang, et al. ∙

research

∙ 02/06/2023

Cross-Fusion Rule for Personalized Federated Learning

Data scarcity and heterogeneity pose significant performance challenges ...

0 Wangzhuo Yang, et al. ∙

research

∙ 01/20/2023

Differential Privacy in Cooperative Multiagent Planning

Privacy-aware multiagent systems must protect agents' sensitive data whi...

0 Bo Chen, et al. ∙

research

∙ 01/19/2023

Semantic-aware Contrastive Learning for More Accurate Semantic Parsing

Since the meaning representations are detailed and accurate annotations ...

0 Shan Wu, et al. ∙

research

∙ 12/27/2022

1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object Segmentation

The task of referring video object segmentation aims to segment the obje...

0 Zhiwei Hu, et al. ∙

research

∙ 12/27/2022

Position-Aware Contrastive Alignment for Referring Image Segmentation

Referring image segmentation aims to segment the target object described...

0 Bo Chen, et al. ∙

research

∙ 12/20/2022

Towards an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets

This paper presents two wireless measurement campaigns in industrial tes...

0 Rodrigo Hernangomez, et al. ∙

research

∙ 11/30/2022

The Bounded Gaussian Mechanism for Differential Privacy

The Gaussian mechanism is one differential privacy mechanism commonly us...

0 Bo Chen, et al. ∙

research

∙ 10/26/2022

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks

Sequential recommendation (SR) plays an important role in personalized r...

0 Hengyu Zhang, et al. ∙

research

∙ 10/18/2022

IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System

Scoring a large number of candidates precisely in several milliseconds i...

0 Xiangyang Li, et al. ∙

research

∙ 10/16/2022

HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding

Embedded topic models are able to learn interpretable topics even with l...

0 Yishi Xu, et al. ∙

research

∙ 09/20/2022

Knowledge-Aware Bayesian Deep Topic Model

We propose a Bayesian generative model for incorporating prior domain kn...

0 Dongsheng Wang, et al. ∙

research

∙ 09/20/2022

Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce

Customer reviews usually contain much information about one's online sho...

0 Bo Chen, et al. ∙

research

∙ 09/12/2022

Ordinal Graph Gamma Belief Network for Social Recommender Systems

To build recommender systems that not only consider user-item interactio...

0 Dongsheng Wang, et al. ∙

research

∙ 08/24/2022

AGO-Net: Association-Guided 3D Point Cloud Object Detection Network

The human brain can effortlessly recognize and localize objects, whereas...

0 Liang Du, et al. ∙

research

∙ 08/11/2022

Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation

The cold-start problem is a long-standing challenge in recommender syste...

0 Yuxiang Shi, et al. ∙

research

∙ 08/03/2022

Distributed Event-Triggered Nonlinear Fusion Estimation under Resource Constraints

This paper studies the event-triggered distributed fusion estimation pro...

0 Rusheng Wang, et al. ∙

research

∙ 04/04/2022

Automated Machine Learning for Deep Recommender Systems: A Survey

Deep recommender systems (DRS) are critical for current commercial onlin...

0 Bo Chen, et al. ∙

research

∙ 03/30/2022

The Block-based Mobile PDE Systems Are Not Secure – Experimental Attacks

Nowadays, mobile devices have been used broadly to store and process sen...

0 Niusen Chen, et al. ∙

research

∙ 03/09/2022

Update Compression for Deep Neural Networks on the Edge

An increasing number of artificial intelligence (AI) applications involv...

0 Bo Chen, et al. ∙

research

∙ 03/03/2022

Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings

A topic model is often formulated as a generative model that explains ho...

0 Dongsheng Wang, et al. ∙

research

∙ 03/02/2022

Asynchronous Optimisation for Event-based Visual Odometry

Event cameras open up new possibilities for robotic perception due to th...

5 Daqi Liu, et al. ∙

research

∙ 03/01/2022

Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing

Video snapshot compressive imaging (SCI) utilizes a 2D detector to captu...

0 Ruiying Lu, et al. ∙

research

∙ 02/08/2022

Binary Neural Networks as a general-propose compute paradigm for on-device computer vision

For binary neural networks (BNNs) to become the mainstream on-device com...

0 Guhong Nie, et al. ∙

research

∙ 02/07/2022

Differential Privacy for Symbolic Systems with Application to Markov Chains

Data-driven systems are gathering increasing amounts of data from users,...

0 Bo Chen, et al. ∙

research

∙ 12/03/2021

Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector

Data collected by Earth-observing (EO) satellites are often afflicted by...

0 Andrew Du, et al. ∙

research

∙ 11/05/2021

AIM: Automatic Interaction Machine for Click-Through Rate Prediction

Feature embedding learning and feature interaction modeling are two cruc...

0 Chenxu Zhu, et al. ∙

research

∙ 10/27/2021

TopicNet: Semantic Graph-Guided Topic Discovery

Existing deep hierarchical topic models are able to extract semantically...

2 Zhibin Duan, et al. ∙

research

∙ 10/22/2021

Occlusion-Robust Object Pose Estimation with Holistic Representation

Practical object pose estimation demands robustness against occlusions t...

0 Bo Chen, et al. ∙

research

∙ 09/28/2021

Extracting Attentive Social Temporal Excitation for Sequential Recommendation

In collaborative filtering, it is an important way to make full use of s...

0 Yunzhe Li, et al. ∙

research

∙ 09/11/2021

Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network

Dual-view snapshot compressive imaging (SCI) aims to capture videos from...

4 Ruiying Lu, et al. ∙

research

∙ 08/26/2021

Physical Adversarial Attacks on an Aerial Imagery Object Detector

Deep neural networks (DNNs) have become essential for processing the vas...

13 Andrew Du, et al. ∙

research

∙ 08/17/2021

GCCAD: Graph Contrastive Coding for Anomaly Detection

Graph-based anomaly detection has been widely used for detecting malicio...

0 Bo Chen, et al. ∙

research

∙ 07/19/2021

Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision

Despite recent success in machine reading comprehension (MRC), learning ...

0 Ning Bian, et al. ∙

research

∙ 06/30/2021

Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network

Hierarchical topic models such as the gamma belief network (GBN) have de...

0 Zhibin Duan, et al. ∙

Bo Chen

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