Feiran Huang

Orcid: 0000-0003-4294-0212

According to our database1, Feiran Huang authored at least 117 papers between 2015 and 2025.

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Bibliography

2025
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models.
CoRR, July, 2025

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs.
CoRR, June, 2025

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation.
CoRR, June, 2025

Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification.
CoRR, June, 2025

AliBoost: Ecological Boosting Framework in Alibaba Platform.
CoRR, June, 2025

Image captioning with residual swin transformer and Actor-Critic.
Neural Comput. Appl., May, 2025

PPRU: A Privacy-Preserving Reputation Updating Scheme for Cloud-Assisted Vehicular Networks.
IEEE Trans. Veh. Technol., February, 2025

Graph Cross-Correlated Network for Recommendation.
IEEE Trans. Knowl. Data Eng., February, 2025

FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation.
CoRR, February, 2025

Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation.
CoRR, February, 2025

Benchmarking Large Language Models via Random Variables.
CoRR, January, 2025

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap.
CoRR, January, 2025

Privacy-Preserving Image Retrieval in Cloud Computing via Adaptive Secret Keys and Self-Supervised Block-Augmented Pretraining.
IEEE Trans. Serv. Comput., 2025

LapGLP: Approximating Infinite-Layer Graph Convolutions With Laplacian for Federated Recommendation.
IEEE Trans. Inf. Forensics Secur., 2025

Moment matching of joint distributions for unsupervised domain adaptation.
Inf. Process. Manag., 2025

End-to-end privacy-preserving image retrieval in cloud computing via anti-perturbation attentive token-aware vision transformer.
Inf. Fusion, 2025

Progressive Enhancement Dehazing for object detection in extreme weather.
Eng. Appl. Artif. Intell., 2025

Contrastive learning with hard negatives for sentence embeddings.
Appl. Soft Comput., 2025

Large Language Model Simulator for Cold-Start Recommendation.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Text-Attributed Graph Learning with Coupled Augmentations.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

Robust Heterogeneous Model Fitting for Multi-source Image Correspondences.
Int. J. Comput. Vis., August, 2024

Multi-Stage Network With Geometric Semantic Attention for Two-View Correspondence Learning.
IEEE Trans. Image Process., 2024

SANe: Space adaptation network for temporal knowledge graph completion.
Inf. Sci., 2024

PPMGS: An efficient and effective solution for distributed privacy-preserving semi-supervised learning.
Inf. Sci., 2024

Cross-domain knowledge collaboration for blending-target domain adaptation.
Inf. Process. Manag., 2024

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives.
CoRR, 2024

CLR-Bench: Evaluating Large Language Models in College-level Reasoning.
CoRR, 2024

Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL.
CoRR, 2024

Structure Guided Large Language Model for SQL Generation.
CoRR, 2024

Large Language Model Interaction Simulator for Cold-Start Item Recommendation.
CoRR, 2024

Fractional Amplitude of Low-Frequency Fluctuation and Voxel-Mirrored Homotopic Connectivity in Patients with Persistent Postural-Perceptual Dizziness: Resting-State Functional Magnetic Resonance Imaging Study.
Brain Connect., 2024

High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs.
Proceedings of the ACM on Web Conference 2024, 2024

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.
Proceedings of the ACM on Web Conference 2024, 2024

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Detaching Range from Depth: Personalized Recommendation Meets Personalized PageRank.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Context-Aware Structural Adaptive Graph Neural Networks.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Mitigating Social Hazards: Early Detection of Fake News via Diffusion-Guided Propagation Path Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Can Small Language Models With Retrieval-Augmented Generation Replace Large Language Models When Learning Computer Science?
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Feedback Reciprocal Graph Collaborative Filtering.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Graph Neural Patching for Cold-Start Recommendations.
Proceedings of the Databases Theory and Applications, 2024

Evidence Retrieval is almost All You Need for Fact Verification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
TFL-DT: A Trust Evaluation Scheme for Federated Learning in Digital Twin for Mobile Networks.
IEEE J. Sel. Areas Commun., November, 2023

Unveiling hierarchical relationships for social image representation learning.
Appl. Soft Comput., November, 2023

Deep Kernel Network Embedding.
IEEE Trans. Knowl. Data Eng., June, 2023

Lightweight Trustworthy Message Exchange in Unmanned Aerial Vehicle Networks.
IEEE Trans. Intell. Transp. Syst., February, 2023

ICRA: An Intelligent Clustering Routing Approach for UAV Ad Hoc Networks.
IEEE Trans. Intell. Transp. Syst., February, 2023

DHAN: Encrypted JPEG image retrieval via DCT histograms-based attention networks.
Appl. Soft Comput., January, 2023

Attacks on Acceleration-Based Secure Device Pairing With Automatic Visual Tracking.
IEEE Trans. Inf. Forensics Secur., 2023

A Privacy-Preserving Image Retrieval Scheme Based on 16×16 DCT and Deep Learning.
IEEE Trans. Cloud Comput., 2023

Improving Conversational Recommender Systems via Knowledge-Enhanced Temporal Embedding.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Aligning Distillation For Cold-start Item Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Generative Sentiment Transfer via Adaptive Masking.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Multi-factor Sequential Re-ranking with Perception-Aware Diversification.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering.
Proceedings of the IEEE International Conference on Data Mining, 2023

Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Cross-Attentional Spatio-Temporal Semantic Graph Networks for Video Question Answering.
IEEE Trans. Image Process., 2022

ADFL: A Poisoning Attack Defense Framework for Horizontal Federated Learning.
IEEE Trans. Ind. Informatics, 2022

Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks.
IEEE Trans. Cybern., 2022

Dynamic self-attention with vision synchronization networks for video question answering.
Pattern Recognit., 2022

LDGC-SR: Integrating long-range dependencies and global context information for session-based recommendation.
Knowl. Based Syst., 2022

Neighbor enhanced graph convolutional networks for node classification and recommendation.
Knowl. Based Syst., 2022

Compound adversarial examples in deep neural networks.
Inf. Sci., 2022

PPTM: A Privacy-Preserving Trust Management Scheme for Emergency Message Dissemination in Space-Air-Ground-Integrated Vehicular Networks.
IEEE Internet Things J., 2022

Cancer classification with data augmentation based on generative adversarial networks.
Frontiers Comput. Sci., 2022

Flattened Graph Convolutional Networks For Recommendation.
CoRR, 2022

GPatch: Patching Graph Neural Networks for Cold-Start Recommendations.
CoRR, 2022

EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing.
CoRR, 2022

Multilevel Attention Networks and Policy Reinforcement Learning for Image Caption Generation.
Big Data, 2022

Fusing visual and textual content for knowledge graph embedding via dual-track model.
Appl. Soft Comput., 2022

Generative Adversarial Framework for Cold-Start Item Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

BERT-POS: Sentiment Analysis of MOOC Reviews Based on BERT with Part-of-Speech Information.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021
Deep Attentive Multimodal Network Representation Learning for Social Media Images.
ACM Trans. Internet Techn., 2021

Adversarial Learning With Multi-Modal Attention for Visual Question Answering.
IEEE Trans. Neural Networks Learn. Syst., 2021

Multi-Task Travel Route Planning With a Flexible Deep Learning Framework.
IEEE Trans. Intell. Transp. Syst., 2021

Social Image Sentiment Analysis by Exploiting Multimodal Content and Heterogeneous Relations.
IEEE Trans. Ind. Informatics, 2021

Robust Multimodal Representation Learning With Evolutionary Adversarial Attention Networks.
IEEE Trans. Evol. Comput., 2021

Multimodal Learning of Social Image Representation by Exploiting Social Relations.
IEEE Trans. Cybern., 2021

Dual self-attention with co-attention networks for visual question answering.
Pattern Recognit., 2021

The effects of audiovisual landmarks on spatial learning and recalling for image browsing interface in virtual environments.
J. Syst. Archit., 2021

BTMPP: Balancing Trust Management and Privacy Preservation for Emergency Message Dissemination in Vehicular Networks.
IEEE Internet Things J., 2021

Recognizing Influential Nodes in Social Networks With Controllability and Observability.
IEEE Internet Things J., 2021

LPPTE: A lightweight privacy-preserving trust evaluation scheme for facilitating distributed data fusion in cooperative vehicular safety applications.
Inf. Fusion, 2021

Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization.
CoRR, 2021

Introduction to the special section on deep learning-based intelligent systems (VSI-dlis).
Comput. Electr. Eng., 2021

Incorporating Global Context into Multi-task Learning for Session-Based Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Hubness-aware User Identity Linkage.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

End-to-end Learning for Encrypted Image Retrieval.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Heuristic Monte Carlo Algorithm for Unmanned Ground Vehicles Realtime Localization and Mapping.
IEEE Trans. Veh. Technol., 2020

Attention-Based Modality-Gated Networks for Image-Text Sentiment Analysis.
ACM Trans. Multim. Comput. Commun. Appl., 2020

Visual Question Answering via Combining Inferential Attention and Semantic Space Mapping.
Knowl. Based Syst., 2020

Label-Aware Graph Convolutional Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Bi-Directional Spatial-Semantic Attention Networks for Image-Text Matching.
IEEE Trans. Image Process., 2019

Visual-textual sentiment classification with bi-directional multi-level attention networks.
Knowl. Based Syst., 2019

Image-text sentiment analysis via deep multimodal attentive fusion.
Knowl. Based Syst., 2019

Network embedding by fusing multimodal contents and links.
Knowl. Based Syst., 2019

Sentiment analysis of social images via hierarchical deep fusion of content and links.
Appl. Soft Comput., 2019

Visual question answering via Attention-based syntactic structure tree-LSTM.
Appl. Soft Comput., 2019

Multi-Hot Compact Network Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
From content to links: Social image embedding with deep multimodal model.
Knowl. Based Syst., 2018

Exploit latent Dirichlet allocation for collaborative filtering.
Frontiers Comput. Sci., 2018

Deep multi-view representation learning for social images.
Appl. Soft Comput., 2018

Learning Joint Multimodal Representation with Adversarial Attention Networks.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Multimodal Network Embedding via Attention based Multi-view Variational Autoencoder.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

An In-Depth Benchmarking Study on Bill of Materials for High-End Manufacturing.
Proceedings of the Conceptual Modeling - 37th International Conference, 2018

Adversarial Learning of Answer-Related Representation for Visual Question Answering.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
DTRP: A Flexible Deep Framework for Travel Route Planning.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Learning Social Image Embedding with Deep Multimodal Attention Networks.
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

2016
Temporal Spatial-Keyword Search on Databases Using SQL.
Proceedings of the Web Technologies and Applications, 2016

2015
PandaSearch: A fine-grained academic search engine for research documents.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015


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