Jia Xu
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View article: HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation
HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation Open
Transformer-based sequential recommendation (TSR) models have shown superior performance in recommendation systems, where the quality of item representations plays a crucial role. Classical representation methods integrate item features us…
View article: SAM4D: Segment Anything in Camera and LiDAR Streams
SAM4D: Segment Anything in Camera and LiDAR Streams Open
We present SAM4D, a multi-modal and temporal foundation model designed for promptable segmentation across camera and LiDAR streams. Unified Multi-modal Positional Encoding (UMPE) is introduced to align camera and LiDAR features in a shared…
View article: One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction
One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction Open
Large language models (LLMs) have been increasingly employed in various intelligent educational systems, simulating human tutors to facilitate effective human-machine interaction. However, previous studies often overlook the significance o…
View article: CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation
CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation Open
In this work, we present CineMaster, a novel framework for 3D-aware and controllable text-to-video generation. Our goal is to empower users with comparable controllability as professional film directors: precise placement of objects within…
View article: A Multi-index Remote Sensing Approach to Track Water Shifts in Handero Lake
A Multi-index Remote Sensing Approach to Track Water Shifts in Handero Lake Open
Freshwater Wetlands are essential ecosystems but remain highly vulnerable to climate variability and human pressures. This study examines the spatiotemporal changes in the water of Handero Lake from 2001 to 2024, using Landsat satellite im…
View article: EmByte: Decomposition and Compression Learning for Small yet Private NLP
EmByte: Decomposition and Compression Learning for Small yet Private NLP Open
View article: SC-PA: A spot-checking model based on Stackelberg game theory for improving peer assessment
SC-PA: A spot-checking model based on Stackelberg game theory for improving peer assessment Open
During a peer assessment activity in teaching practices, students may not have sufficient motivation to review their peers’ submissions, which makes the peer assessment results questionable. To this end, this paper proposes a novel spot-ch…
View article: Lattice-like Mechanical Metamaterials Structure Design Method Based on Convolutional Neural Network and NSGA-II Algorithm
Lattice-like Mechanical Metamaterials Structure Design Method Based on Convolutional Neural Network and NSGA-II Algorithm Open
Lattice-like mechanical metamaterials have excellent mechanical properties such as ultra-low density, high specific strength, and high energy absorption, and have broad application prospects in key components of platforms such as armored v…
View article: Sc-Pa: A Spot-Checking Model Based on Stackelberg Game Theory for Improving Peer Assessment
Sc-Pa: A Spot-Checking Model Based on Stackelberg Game Theory for Improving Peer Assessment Open
View article: Deleveraging driven by profitability improvement: Evidence from China's B2V transition
Deleveraging driven by profitability improvement: Evidence from China's B2V transition Open
View article: Deleveraging Driven by Profitability Improvement: Evidence from China's B2v Transition
Deleveraging Driven by Profitability Improvement: Evidence from China's B2v Transition Open
View article: LTKT: Knowledge Tracing Based on Positive and Negative Learning Transfers
LTKT: Knowledge Tracing Based on Positive and Negative Learning Transfers Open
View article: Trajectory Prediction with Correction Mechanism for Connected and Autonomous Vehicles
Trajectory Prediction with Correction Mechanism for Connected and Autonomous Vehicles Open
Trajectory prediction of surrounding vehicles is a critical task for connected and autonomous vehicles (CAVs), helping them to realize potential dangers in the traffic environment and make the most appropriate decisions. In a practical tra…
View article: Object Perceptibility Prediction for Transmission Load Reduction in Vehicle-Infrastructure Cooperative Perception
Object Perceptibility Prediction for Transmission Load Reduction in Vehicle-Infrastructure Cooperative Perception Open
Vehicle-infrastructure cooperative perception is an ingenious way to eliminate environmental perception blind areas of connected and autonomous vehicles (CAVs). However, if the infrastructure transmits all environmental information to the …
View article: Stock Index Prediction Based on Time Series Decomposition and Hybrid Model
Stock Index Prediction Based on Time Series Decomposition and Hybrid Model Open
The stock index is an important indicator to measure stock market fluctuation, with a guiding role for investors’ decision-making, thus being the object of much research. However, the stock market is affected by uncertainty and volatility,…
View article: Multi-Modal Feature Selection with Feature Correlation and Feature Structure Fusion for MCI and AD Classification
Multi-Modal Feature Selection with Feature Correlation and Feature Structure Fusion for MCI and AD Classification Open
Feature selection for multiple types of data has been widely applied in mild cognitive impairment (MCI) and Alzheimer’s disease (AD) classification research. Combining multi-modal data for classification can better realize the complementar…
View article: Ranking-Based Deep Hashing Network for Image Retrieval
Ranking-Based Deep Hashing Network for Image Retrieval Open
In large-scale image retrieval, the deep learning-based hashing methods have significantly progressed. However, most of the existing deep hashing methods still have the problems of low feature learning efficiency and weak ranking relations…
View article: Sc-Pa: A Spot-Checking Model Based on Stackelberg Game Theory for Improving Peer Assessment
Sc-Pa: A Spot-Checking Model Based on Stackelberg Game Theory for Improving Peer Assessment Open
View article: Improving Knowledge Tracing Via a Heterogeneous Information Network Enhanced by Student Interactions
Improving Knowledge Tracing Via a Heterogeneous Information Network Enhanced by Student Interactions Open
View article: Sc-Pa: A Spot-Checking Model Based on Stackelberg Game Theory for Improving Peer Assessment
Sc-Pa: A Spot-Checking Model Based on Stackelberg Game Theory for Improving Peer Assessment Open
View article: Itinerary-aware Personalized Deep Matching at Fliggy
Itinerary-aware Personalized Deep Matching at Fliggy Open
Matching items for a user from a travel item pool of large cardinality have been the most important technology for increasing the business at Fliggy, one of the most popular online travel platforms (OTPs) in China. There are three major ch…
View article: Itinerary-aware Personalized Deep Matching at Fliggy
Itinerary-aware Personalized Deep Matching at Fliggy Open
Matching items for a user from a travel item pool of large cardinality have been the most important technology for increasing the business at Fliggy, one of the most popular online travel platforms (OTPs) in China. There are three major ch…
View article: Leveraging Cognitive Diagnosis to Improve Peer Assessment in MOOCs
Leveraging Cognitive Diagnosis to Improve Peer Assessment in MOOCs Open
A major challenge faced by popular massive open online courses (MOOCs) is the assessment of large-scale open-ended assignments submitted by students. Recently, peer assessment has become a mainstream paradigm that helps grade open-ended as…
View article: WiFi-Based Virtual Access Network Scheduling for Downlink Traffic Dominated Smart Spaces
WiFi-Based Virtual Access Network Scheduling for Downlink Traffic Dominated Smart Spaces Open
WiFi networks are widely and densely deployed as infrastructure in smart spaces. However, differentiated services with guaranteed access bandwidths are not supported in traditional WiFi networks. In this paper, wireless virtual access netw…
View article: Combining Statistical Features and Local Pattern Features for Texture Image Retrieval
Combining Statistical Features and Local Pattern Features for Texture Image Retrieval Open
The complementary fusion of global and local features can effectively improve the performance of image retrieval. This article proposes a new local texture descriptor, combined with statistical modeling in transform domain for texture imag…
View article: Research on acquisition and recognition of Naxi speaker's speech information
Research on acquisition and recognition of Naxi speaker's speech information Open
The human–machine dialogue system allows people and the machine to communicate basically. This technology is also attracting more and more attention. It is conducive to the realisation of resource sharing, inheritance, and protection of Do…
View article: Differentially Private Top-$k$ Frequent Columns Publication for High-Dimensional Data
Differentially Private Top-$k$ Frequent Columns Publication for High-Dimensional Data Open
Differential privacy (DP) is a promising scheme for releasing the results of statistical queries on sensitive data. This paper focuses on top-k frequent columns publication on sensitive data, with high result utility under differential pri…
View article: MSN 2018 Technical Program Committee
MSN 2018 Technical Program Committee Open
View article: Book Reviews
Book Reviews Open
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View article: Long-time Integration of a Multi-waveform for Weak Target Detectcion in Non-cooperative Passive Bistatic Radar
Long-time Integration of a Multi-waveform for Weak Target Detectcion in Non-cooperative Passive Bistatic Radar Open
Space, time, and phase synchronization problems make weak target detection evenmore difficult in the Non-cooperative Passive Bistatic Radar (NPBR) than in conventional radar systems. Therefore, a time and phase synchronization method based…