Longfei Li

Orcid: 0009-0004-8406-1480

According to our database1, Longfei Li authored at least 144 papers between 2013 and 2024.

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Bibliography

2024
DCSG: data complement pseudo-label refinement and self-guided pre-training for unsupervised person re-identification.
Vis. Comput., October, 2024

Accurately Measuring the Infrared Spectral Emissivity of Inconel 601, Inconel 625, and Inconel 718 Alloys during the Oxidation Process.
Sensors, September, 2024

A Novel Active Learning Framework for Cross-Subject Human Activity Recognition from Surface Electromyography.
Sensors, September, 2024

SAM-driven MAE pre-training and background-aware meta-learning for unsupervised vehicle re-identification.
Comput. Vis. Media, August, 2024

Joint training with local soft attention and dual cross-neighbor label smoothing for unsupervised person re-identification.
Comput. Vis. Media, June, 2024

Attention-based variable-size feature compression module for edge inference.
J. Supercomput., April, 2024

A distribution-free method for probabilistic prediction.
Expert Syst. Appl., March, 2024

Numerical Methods for Fourth-Order PDEs on Overlapping Grids with Application to Kirchhoff-Love Plates.
J. Sci. Comput., February, 2024

How is public discussion as reflected in WeChat articles different from scholarly research in China? An empirical study of metaverse.
Scientometrics, January, 2024

Spatial Decomposition and Aggregation for Attention in Convolutional Neural Networks.
Int. J. Pattern Recognit. Artif. Intell., January, 2024

Fast Measuring Device for the Normal Spectral Emissivity in a Broad Temperature Range.
IEEE Trans. Instrum. Meas., 2024

A Causal Explainable Guardrails for Large Language Models.
CoRR, 2024

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.
CoRR, 2024

Professional Agents - Evolving Large Language Models into Autonomous Experts with Human-Level Competencies.
CoRR, 2024

LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation.
CoRR, 2024

Invariant Graph Learning for Causal Effect Estimation.
Proceedings of the ACM on Web Conference 2024, 2024

Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

GATS: Generative Audience Targeting System for Online Advertising.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Modeling Treatment Effect with Cross-Domain Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

GTT-NTP: A Graph Convolutional Networks-Based Network Traffic Prediction model.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

An Active Masked Attention Framework for Many-to-Many Cross-Domain Recommendations.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing Event Sequence Modeling with Contrastive Relational Inference.
Proceedings of the IEEE International Conference on Acoustics, 2024

Distributed Meta-learning for Large-Scale Multi-institution Credit Default Risk Prediction.
Proceedings of the Database Systems for Advanced Applications, 2024

Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Stochastic Process Recognition Based on Gaussian Mixture Model and Shipborne Equipment.
Proceedings of the 2024 4th International Conference on Artificial Intelligence, 2024

Temporal Shift Vision Transformer Adapter for Efficient Video Action Recognition.
Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, 2024

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
GINT: A Generative Interpretability method via perturbation in the latent space.
Expert Syst. Appl., December, 2023

How can policy document mentions to scholarly papers be interpreted? An analysis of the underlying mentioning process.
Scientometrics, November, 2023

Active learning with sampling by joint global-local uncertainty for salient object detection.
Neural Comput. Appl., November, 2023

Universal multi-factor feature selection method for radiomics-based brain tumor classification.
Comput. Biol. Medicine, September, 2023

Finding High-Quality Item Attributes for Recommendation.
IEEE Trans. Knowl. Data Eng., August, 2023

R$^{2}$Fed: Resilient Reinforcement Federated Learning for Industrial Applications.
IEEE Trans. Ind. Informatics, August, 2023

Topology Planning Using Q-Learning for Microwave-Based Wireless Backhaul Networks.
IEEE Trans. Cogn. Commun. Netw., August, 2023

Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading.
Biomed. Signal Process. Control., August, 2023

Integration of Neuromorphic and Reconfigurable Logic-in-Memory Operations in an Electrolyte-Manipulated Ferroelectric Organic Neuristor.
Adv. Intell. Syst., July, 2023

Resilience Characteristics and Driving Mechanism of Urban Collaborative Innovation Network - A Case Study of China's New Energy Vehicle Industry.
Syst., May, 2023

A generic parallel optimization framework for solving hard problems in optical networks.
Comput. Commun., February, 2023

A Unified Framework for Cross-Domain and Cross-System Recommendations.
IEEE Trans. Knowl. Data Eng., 2023

Exploring the combination of self and mutual teaching for tabular-data-related semi-supervised regression.
Expert Syst. Appl., 2023

Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing.
CoRR, 2023

Intelligent Virtual Assistants with LLM-based Process Automation.
CoRR, 2023

Data-Centric Financial Large Language Models.
CoRR, 2023

Leveraging Large Language Models for Pre-trained Recommender Systems.
CoRR, 2023

Enhancing Recommender Systems with Large Language Model Reasoning Graphs.
CoRR, 2023

DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

A Practical Rule Learning Framework for Risk Management.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

A Framework for Detecting Frauds from Extremely Few Labels.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

ConFunc: Enhanced Binary Function-Level Representation through Contrastive Learning.
Proceedings of the 22nd IEEE International Conference on Trust, 2023

MDI: A Debiasing Method Combining Unbiased and Biased Data.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Alleviating Matching Bias in Marketing Recommendations.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Pedestrian Attribute Recognition Method Based On Cross-modal Fusion.
Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 2023

Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

HSI-SSTRANS: Hyperspectral Image Classification with Spectral and Space Transformer.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Sliding Window Kalman Filter-Based DCQCN for RDMA Congestion Control.
Proceedings of the 2023 5th International Electronics Communication Conference, 2023

Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding.
Proceedings of the International Conference on Machine Learning, 2023

Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference.
Proceedings of the IEEE International Conference on Data Mining, 2023

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

ALT: An Automatic System for Long Tail Scenario Modeling.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Rule-based Decision System for Financial Applications.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data.
Proceedings of the Database Systems for Advanced Applications, 2023

Treatment Effect Estimation across Domains.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

FINRule: Feature Interactive Neural Rule Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Network State Prediction with Attention-Based Graph Convolutional Network.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

2022
AI-Powered Radiomics Algorithm Based on Slice Pooling for the Glioma Grading.
IEEE Trans. Ind. Informatics, 2022

The Vibroacoustic Characteristics Analysis of Transformer Core Faults Based on Multi-Physical Field Coupling.
Symmetry, 2022

Biomass Calculations of Individual Trees Based on Unmanned Aerial Vehicle Multispectral Imagery and Laser Scanning Combined with Terrestrial Laser Scanning in Complex Stands.
Remote. Sens., 2022

FinBrain 2.0: when finance meets trustworthy AI.
Frontiers Inf. Technol. Electron. Eng., 2022

Exploring country's preference over news mentions to academic papers.
J. Informetrics, 2022

Protection against failure of machine-learning-based QoT prediction.
JOCN, 2022

Interpreting Model Predictions with Constrained Perturbation and Counterfactual Instances.
Int. J. Pattern Recognit. Artif. Intell., 2022

Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading.
CoRR, 2022

MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dynamic Regret of Online Markov Decision Processes.
Proceedings of the International Conference on Machine Learning, 2022

Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Semi-Supervised Learning with Data Augmentation for Tabular Data.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Biased Sampling Method for Imbalanced Personalized Ranking.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Task-Aware Attention-Based Method for Improved Meta-Learning.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

Robust Direct Learning for Causal Data Fusion.
Proceedings of the Asian Conference on Machine Learning, 2022

SAIL: Self-Augmented Graph Contrastive Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
How accurate are Twitter and Facebook altmetrics data? A comparative content analysis.
Scientometrics, 2021

A Boosting Framework of Factorization Machine.
Int. J. Pattern Recognit. Artif. Intell., 2021

Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study.
CoRR, 2021

Stable finite difference methods for Kirchhoff-Love plates on overlapping grids.
CoRR, 2021

Action Unit Driven Facial Expression Synthesis from a Single Image with Patch Attentive GAN.
Comput. Graph. Forum, 2021

Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.
Proceedings of the WSDM '21, 2021

A Classification Based Ensemble Pruning Framework with Multi-metric Consideration.
Proceedings of the Intelligent Systems and Applications, 2021

Cross-Domain Recommendation: Challenges, Progress, and Prospects.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Spatial Layout Method of Robots Relative to Operating Space Based on Its Flexible Workspace Simulation.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

Simtrojan: Stealthy Backdoor Attack.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Biomedical Image Segmentation Based on Classification Supervision.
Proceedings of the ICBBT 2021: 13th International Conference on Bioinformatics and Biomedical Technology, Xi'an, China, May 21, 2021

Constraint-Adaptive Rule Mining in Large Databases.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
A Pseudo-Distance Algorithm for Collision Detection of Manipulators Using Convex-Plane-Polygons-based Representation.
Robotics Comput. Integr. Manuf., 2020

基于节点兴趣和Q-learning的P2P网络搜索机制 (P2P Network Search Mechanism Based on Node Interest and Q-learning).
计算机科学, 2020

A split-step finite-element method for incompressible Navier-Stokes equations with high-order accuracy up-to the boundary.
J. Comput. Phys., 2020

Self-supervised Smoothing Graph Neural Networks.
CoRR, 2020

Stable and accurate numerical methods for generalized Kirchhoff-Love plates.
CoRR, 2020

Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

What if AI Fails: Protection against Failure of AI-Based QoT Prediction.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

Knowledge Consistency between Neural Networks and Beyond.
Proceedings of the 8th International Conference on Learning Representations, 2020

SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud.
ACM Trans. Intell. Syst. Technol., 2019

Numerical methods for thermally stressed shallow shell equations.
J. Comput. Appl. Math., 2019

A Time Attention based Fraud Transaction Detection Framework.
CoRR, 2019

Knowledge Isomorphism between Neural Networks.
CoRR, 2019

Naïve Bayes Classifier-Assisted Least Loaded Routing for Circuit-Switched Networks.
IEEE Access, 2019

Interpretable MTL from Heterogeneous Domains using Boosted Tree.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

GeniePath: Graph Neural Networks with Adaptive Receptive Paths.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud.
CoRR, 2018

Machine Learning-Assisted Least Loaded Routing to Improve Performance of Circuit-Switched Networks.
CoRR, 2018

A Boosting Framework of Factorization Machine.
CoRR, 2018

GeniePath: Graph Neural Networks with Adaptive Receptive Paths.
CoRR, 2018

Anomaly Detection with Partially Observed Anomalies.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Assigning Counter-Propagating Cores in Multi-Core Fiber Optical Networks to Suppress Inter-Core Crosstalk and Inefficiency due to Bi-directional Traffic Asymmetry.
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

Maximizing Availability-Weighted Slice Capacity for Sliceable Wireless-Optical Broadband Access Networks.
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

Distributed Collaborative Hashing and Its Applications in Ant Financial.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Ant colony learning method for joint MCS and resource block allocation in LTE Femtocell downlink for multimedia applications with QoS guarantees.
Multim. Tools Appl., 2017

Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Mixed channel traffic grooming in shared backup path protected IP over elastic optical network.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017

KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

POSTER: A PU Learning based System for Potential Malicious URL Detection.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

POSTER: Practical Fraud Transaction Prediction.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016
A stable partitioned FSI algorithm for incompressible flow and deforming beams.
J. Comput. Phys., 2016

Spectrally efficient operation of mixed fixed/flexible-grid optical networks with sub-band virtual concatenation.
Proceedings of the 18th International Conference on Transparent Optical Networks, 2016

2015
QoS保障的LTE-A飞蜂窝资源块分配与MCS选择研究 (QoS-aware Resource Block Allocation and MCS Selection for LTE-A Femtocell Downlink).
计算机科学, 2015

2014
An intelligent optimization algorithm for joint MCS and resource block allocation in LTE femtocell downlink with QoS guarantees.
Proceedings of the 2014 5th International Conference on Game Theory for Networks, 2014

An I-FFR algorithm for interference coordination in twin-layer femtocell networs.
Proceedings of the 2014 5th International Conference on Game Theory for Networks, 2014

2013
Hybrid Deep Neural Network-Hidden Markov Model (DNN-HMM) Based Speech Emotion Recognition.
Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013


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