Unbiased news recommendation model time and content

Who To Align With: Feedback-Oriented Multi-Modal Alignment in Recommendation Systems

Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback

RHO-1: Not All Tokens Are What You Need

Federated Learning with Extremely Noisy Clients via Negative Distillation

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models

Leveraging Dynamic and HeterogeneousWorkload Knowledge to Boost the Performance of Index Advisors

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models

TRAP: Tailored Robustness Assessment for Index Advisors via Adversarial Perturbation

THINK-ON-GRAPH: DEEP AND RESPONSIBLE REASONING OF LARGE LANGUAGE MODEL ON KNOWLEDGE GRAPH

Compound-Protein Interaction Prediction with Sparse Perturbation-Aware Attention

Competition-Level Problems are Effective LLM Evaluators

GENET: Unleashing the Power of Side Information for Recommendation via Hypergraph Pre-training

Optimization of drug-target affinity prediction methods through feature processing schemes

Exposure to echimidine impairs the heart development and function of zebrafish larvae

BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network

Demonstration of ViTA: Visualizing, Testing and Analyzing Index Advisors

TCCM: Time and Content-Aware Causal Model for Unbiased News Recommendation

E-commerce Search via Content Collaborative Graph Neural Network

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph

Code-Aware Cross-Program Transfer Hyperparameter Optimization

PROD: Progressive Distillation for Dense Retrieval

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

D<SUP>2</SUP>PSG: Multi-Party Dialogue Discourse Parsing as Sequence Generation

Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise

Blockchain-Based Network Alignment System for Power Equipment Data Inconsistency

GENIE: Large Scale Pre-training for Text Generation with Diffusion Model

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis

Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation

Neutralizing Popularity Bias in Recommendation Models

Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles

Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles

SPEX: A Generic Framework for Enhancing Neural Social Recommendation

Characterizing viral circRNAs and their application in identifying circRNAs in viruses

A comparison of deep learning-based pre-processing and clustering approaches for single-cell RNA sequencing data

DeepAc4C: a convolutional neural network model with hybrid features composed of physicochemical patterns and distributed representation information for identification of N4-acetylcytidine in mRNA

A two-stage embedding model for recommendation with multimodal auxiliary information

prPred-DRLF: Plant R protein predictor using deep representation learning features

CRBPDL: Identification of circRNA-RBP interaction sites using an ensemble neural network approach

Adaptive Code Learning for Spark Configuration Tuning

Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction

Multi-view Heterogeneous Temporal Graph Neural Network for "Click Farming" Detection

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis

A Novel Group Recommendation Model With Two-Stage Deep Learning

Critical downstream analysis steps for single-cell RNA sequencing data

Current status and future prospects of drug-target interaction prediction

Mitigating Sentiment Bias for Recommender Systems

Preserve Integrity in Realtime Event Summarization

SILVER: Generating Persuasive Chinese Product Pitch

Making accurate object detection at the edge: review and new approach

Attacking Recommender Systems with Augmented User Profiles

Spiral of Silence and Its Application in Recommender Systems

Multi-features guided robust visual tracking

DEAMER: A Deep Exposure-Aware Multimodal Content-Based Recommendation System

Drug target interaction prediction via multi-task co-attention

Modeling sentiment evolution for social incidents

Drug Target Interaction Prediction using Multi-task Learning and Co-attention

Spiral of silence in recommender systems

Drug Target Interaction Prediction with Non-random Missing Labels

Learning to Predict Drug Target Interaction from Missing Not at Random Labels

Non-compensatory psychological models for recommender systems

Secure top-k inner product retrieval

Structural Hole Spanner in HumanNet Identifies Disease Gene and Drug targets

Recommendation with Social Roles

Realtime event summarization from tweets with inconsistency detection

Robust visual tracking via identifying multi-scale patches

A novel model for POI recommendation in indoor space

A formal product search model with ensembled proximity

Variable density sampling and non-Cartesian super-resolved reconstruction for spatiotemporally encoded single-shot MRI

Super-resolved enhancing and edge deghosting (SEED) for spatiotemporally encoded single-shot MRI

Dirichlet process mixture model for summarizing the social web

MapReduce based personalized locality sensitive hashing for similarity joins on large scale data

Question microblog identification and answer recommendation

Dynamic result optimization for keyword search over relational databases

LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy

Personalized news recommendation via implicit social experts

CLEar: A realtime online observatory for bursty and viral events

Large-scale similarity join with edit-distance constraints

Hybrid pseudo-relevance feedback for microblog retrieval

Hierarchical Classification of Protein Folds Using a Novel Ensemble Classifier

Partial Fourier transform reconstruction for single-shot MRI with linear frequency-swept excitation

A new algorithm on lagged correlation analysis between time series: TPFP

View-tree-based dynamic view selection

Identify content quality in online social networks

Research on cloud databases

Random forest based potential k nearest neighbor classifier and its application in gene expression data

Computational identification of alternative splicing in next-generation sequencing data

PRemiSE: Personalized news recommendation via implicit social experts

Generating event storylines from microblogs

Performance optimization of analysis rules in real-time active data warehouses

Improved method for predicting protein fold patterns with ensemble classifiers

Identification number recognition based on random forests

GA combined with structural comparison to improve the prediction of RNA secondary structure from comparative sequence alignment

Maintaining Internal Consistency of Report for Real-Time OLAP with Layer-Based View

Development of particle swarm optimization algorithm

Teaching explorations of basics of computer applications

Multi-frame image super-resolution based on regularization scheme

Novel representation of RNA secondary structure used to improve prediction algorithms

RETRACTED ARTICLE: A problem-based learning approach to teaching an advanced software engineering course