Zihao Li

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey.
ACM Comput. Surv., February, 2025

2024
Global Attention-Guided Dual-Domain Point Cloud Feature Learning for Classification and Segmentation.
IEEE Trans. Artif. Intell., October, 2024

A New Photon-Counting MU-MISO Ultraviolet Communication System With MMSE Precoding in Turbulence Channels.
IEEE Trans. Veh. Technol., July, 2024

Multi-view GCN for loan default risk prediction.
Neural Comput. Appl., July, 2024

DiffuRec: A Diffusion Model for Sequential Recommendation.
ACM Trans. Inf. Syst., May, 2024

A Bio-Inspired Deformable Mouthpart Device With Adaptive Control for Negative Pressure Therapy on Unstructured Limb Surfaces.
IEEE Robotics Autom. Lett., May, 2024

Disentangle interest trend and diversity for sequential recommendation.
Inf. Process. Manag., March, 2024

Intermittent fault diagnosis for electronics-rich analog circuit systems based on multi-scale enhanced convolution transformer network with novel token fusion strategy.
Expert Syst. Appl., March, 2024

Intermittent fault diagnosis of analog circuit based on enhanced one-dimensional vision transformer and transfer learning strategy.
Eng. Appl. Artif. Intell., January, 2024

Exploring explicit and implicit graph learning for multivariate time series imputation.
Eng. Appl. Artif. Intell., January, 2024

Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks.
IEEE Trans. Geosci. Remote. Sens., 2024

Fast Gridless DOA Estimation Algorithm for MA-ANS Scenarios Using a Modified FastIPM.
IEEE Signal Process. Lett., 2024

How do control tokens affect natural language generation tasks like text simplification.
Nat. Lang. Eng., 2024

PageRank Bandits for Link Prediction.
CoRR, 2024

Global Convergence in Training Large-Scale Transformers.
CoRR, 2024

Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System through Distributed Database and Multimodal Perception: Demonstrated in Crossroads.
CoRR, 2024

Parametric Graph Representations in the Era of Foundation Models: A Survey and Position.
CoRR, 2024

BeeManc at the PLABA Track of TAC-2023: Investigating LLMs and Controllable Attributes for Improving Biomedical Text Readability.
CoRR, 2024

Unlocking the Potential: Benchmarking Large Language Models in Water Engineering and Research.
CoRR, 2024

Two Stacks Are Better Than One: A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives.
CoRR, 2024

Accuracy of training data and model outputs in Generative AI: CREATe Response to the Information Commissioner Office Consultation.
CoRR, 2024

Mapping the Scholarship of Dark Pattern Regulation: A Systematic Review of Concepts, Regulatory Paradigms, and Solutions from an Interdisciplinary Perspective.
CoRR, 2024

Quantifying Multilingual Performance of Large Language Models Across Languages.
CoRR, 2024

S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images.
CoRR, 2024

Interpretable Machine Learning for Weather and Climate Prediction: A Survey.
CoRR, 2024

Diffusion Model for Data-Driven Black-Box Optimization.
CoRR, 2024

VisionGPT-3D: A Generalized Multimodal Agent for Enhanced 3D Vision Understanding.
CoRR, 2024

VisionGPT: Vision-Language Understanding Agent Using Generalized Multimodal Framework.
CoRR, 2024

WorldGPT: A Sora-Inspired Video AI Agent as Rich World Models from Text and Image Inputs.
CoRR, 2024

Regularized DeepIV with Model Selection.
CoRR, 2024

Overview of Sensing Attacks on Autonomous Vehicle Technologies and Impact on Traffic Flow.
CoRR, 2024

ChemDFM: Dialogue Foundation Model for Chemistry.
CoRR, 2024

Unified Visual Preference Learning for User Intent Understanding.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

The Dynamics of Verification when Searching for Quality.
Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Cross-Weighting Knowledge Distillation for Object Detection.
Proceedings of the Rough Sets - International Joint Conference, 2024

Heterogeneous Contrastive Learning for Foundation Models and Beyond.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Noninvasive Diagnosis of Cancer Based on the Heterogeneity and Fragmentation Features of Cell-Free Mitochondrial DNA.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Dual Prototype Learning for Robust Open Set Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2024

Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2024

De-Redundancy Distillation And Feature Shift Correction For Cross-Domain Few-Shot Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Exploring Hierachical Neighbor Information Interaction for Few-Shot Knowledge Graph Completion.
Proceedings of the International Joint Conference on Neural Networks, 2024

Explaining Random Forests as Single Decision Trees through Distance Functional Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2024

S<sup>2</sup>RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images.
Proceedings of the International Joint Conference on Neural Networks, 2024

Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Theoretical insights for diffusion guidance: A case study for Gaussian mixture models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Superpixel-Based Dual-Neighborhood Contrastive Graph Autoencoder for Deep Subspace Clustering of Hyperspectral Image.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering.
Proceedings of the IEEE International Conference on Acoustics, 2024

Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ShiftAddAug: Augment Multiplication-Free Tiny Neural Network with Hybrid Computation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Object Tracking Based on Adaptive Multi-Template Fusing.
Proceedings of the International Conference on Computing, 2024

TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Efficient Sparse Attention needs Adaptive Token Release.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Generalized Matrix Nearness Problems.
SIAM J. Matrix Anal. Appl., December, 2023

Adaptive Multi-Feature Fusion Graph Convolutional Network for Hyperspectral Image Classification.
Remote. Sens., December, 2023

An Ensemble Outlier Detection Method Based on Information Entropy-Weighted Subspaces for High-Dimensional Data.
Entropy, August, 2023

Variable Augmented Network for Invertible Modality Synthesis and Fusion.
IEEE J. Biomed. Health Informatics, June, 2023

Appearance-based gaze estimation with feature fusion of multi-level information elements.
J. Comput. Des. Eng., April, 2023

Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training.
Neurocomputing, April, 2023

Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning.
J. Mach. Learn. Res., 2023

Cloud and Edge Computing for Connected and Automated Vehicles.
Found. Trends Electron. Des. Autom., 2023

Incipient fault diagnosis of analog circuit with ensemble HKELM based on fused multi-channel and multi-scale features.
Eng. Appl. Artif. Intell., 2023

Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks.
CoRR, 2023

UnifiedVisionGPT: Streamlining Vision-Oriented AI through Generalized Multimodal Framework.
CoRR, 2023

Mapping the Empirical Evidence of the GDPR (In-)Effectiveness: A Systematic Review.
CoRR, 2023

One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems.
CoRR, 2023

Sample Complexity of Preference-Based Nonparametric Off-Policy Evaluation with Deep Networks.
CoRR, 2023

Large Language Models and Control Mechanisms Improve Text Readability of Biomedical Abstracts.
CoRR, 2023

DeepGATGO: A Hierarchical Pretraining-Based Graph-Attention Model for Automatic Protein Function Prediction.
CoRR, 2023

Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism.
CoRR, 2023

The Dark Side of ChatGPT: Legal and Ethical Challenges from Stochastic Parrots and Hallucination.
CoRR, 2023

Dynamic Local Feature Aggregation for Learning on Point Clouds.
CoRR, 2023

Personalized Recommendation Method of "Carbohydrate-Protein" Supplement Based on Machine Learning and Enumeration Method.
IEEE Access, 2023

Everything Evolves in Personalized PageRank.
Proceedings of the ACM Web Conference 2023, 2023

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

A novel robotic negative pressure therapy method for lymphedema treatment on unstructured surfaces.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Swarm GAN: Stabilizing Training of Generative Adversarial Networks via Swarm Intelligence.
Proceedings of the 6th International Conference on Machine Learning and Machine Intelligence, 2023

Semi-supervised clustering for neuro-subtyping of autism spectrum disorder.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Markov-Based Analytical Approximation for Mixed Traffic Delay of Signalized Intersections.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Review of Permanent Magnet Synchronous Motor Parameter Identification Research.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Accelerating Deep Reinforcement Learning with Fuzzy Logic Rules.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP.
Proceedings of the International Conference on Machine Learning, 2023

Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

Quantitative Analysis of GoP Structure for Scalable Video Coding: an Information Theory Perspective.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Transfer Learning based Efficient Schizophrenia Classification on Electroencephalogram (EEG) Signals: A Cross-Dataset Study.
Proceedings of the 15th International Conference on Bioinformatics and Biomedical Technology, 2023

RegionRel: A Framework for Jointly Extracting Relational Triplets by Performing Sub-tasks by Region.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Research on Face Image Denoising Method Based on Adaptive Bidimensional Empirical Mode Decomposition and Stochastic Resonance Method.
Proceedings of the 6th International Conference on Electronics and Electrical Engineering Technology, 2023

Mapping the Repository Landscape: Harnessing Similarity with RepoSim and RepoSnipy.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

M<sup>2</sup>DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Classification of Heterogeneous Mining Areas Based on ResCapsNet and Gaofen-5 Imagery.
Remote. Sens., 2022

A novel fingerprint recognition method based on a Siamese neural network.
J. Intell. Syst., 2022

Anomaly detection model based on few-shot learning and memory modules.
J. Electronic Imaging, 2022

Generative Modeling in Structural-Hankel Domain for Color Image Inpainting.
CoRR, 2022

Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning.
CoRR, 2022

Drivers and trajectories of China's renewable energy consumption.
Ann. Oper. Res., 2022

Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Uncertainty-Aware Deep Open-Set Object Detection.
Proceedings of the Rough Sets - International Joint Conference, 2022

A modified active disturbance rejection control method for the compliance control of the flexible joint robots.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Reliability assessment of patched SCADA EMS/DMS servers through similarity matching.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Adaptive Graph Recurrent Network for Multivariate Time Series Imputation.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

An IMU and EMG-Based Simultaneous and Proportional Control Strategy of 3-DOF Wrist and Hand Movements.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

Robust Bounding Box Refinement for Accurate Road Surface Defect Detection.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

Training Efficient Siamese Network with Probability Label for Object Tracking.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

Selecting Reliable Instances from ImageNet for Medical Image Domain Adaptation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Fast and Exact Subgraph Isomorphism Querying: Using Embedding and Searching Techniques.
Proceedings of the 5th International Conference on Algorithms, 2022

2021
Tip estimation approach for concentric tube robots using 2D ultrasound images and kinematic model.
Medical Biol. Eng. Comput., 2021

Risk recognition and identification of sports activities in colleges and universities.
J. Intell. Fuzzy Syst., 2021

The effectiveness of physical education teaching in college based on Artificial intelligence methods.
J. Intell. Fuzzy Syst., 2021

Convex bound approximations for sums of random variables under multivariate log-generalized hyperbolic distribution and asymptotic equivalences.
J. Comput. Appl. Math., 2021

Building pose estimation from the perspective of UAVs based on CNNs.
Int. J. Wavelets Multiresolution Inf. Process., 2021

Exploring Spatial Distribution of Urban Park Service Areas in Shanghai Based on Travel Time Estimation: A Method Combining Multi-Source Data.
ISPRS Int. J. Geo Inf., 2021

Analysis of beampattern dwell time for planar frequency diverse array.
IET Signal Process., 2021

A hybrid learning pedagogy for surmounting the challenges of the COVID-19 pandemic in the performing arts education.
Educ. Inf. Technol., 2021

Variable Augmented Network for Invertible Modality Synthesis-Fusion.
CoRR, 2021

A virtual reality experiment system for an introductory computer hardware course.
Comput. Appl. Eng. Educ., 2021

Mind the Amplification: Cracking Content Delivery Networks via DDoS Attacks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss.
Proceedings of the 38th International Conference on Machine Learning, 2021

Real-Time Design Based on PREEMPT_RT and Timing Analysis of Collaborative Robot Control System.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

Design of Strain Gauge Torque Sensor Used in the Modular Joint of Collaborative Robot.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021


WB-DETR: Transformer-Based Detector without Backbone.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Putting out wildfires in Victoria based on intelligent algorithms.
Proceedings of the EM-GIS '21: Proceedings of the 7th ACM SIGSPATIAL International Workshop on Emergency Management using GIS, 2021

2020
Implicit progressive-iterative approximation for curve and surface reconstruction.
Comput. Aided Geom. Des., 2020

Sufficient conditions for a graph to be <i>k</i>-edge-hamiltonian, <i>k</i>-path-coverable, traceable and Hamilton-connected.
Australas. J Comb., 2020

Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
A gas source localization algorithm based on NLS initial optimization of particle filtering.
Evol. Intell., 2019

Semi-supervised Lesion Detection with Reliable Label Propagation and Missing Label Mining.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017
Reversible audio data hiding algorithm using noncausal prediction of alterable orders.
EURASIP J. Audio Speech Music. Process., 2017

A Kullback-Leibler Divergence-based Distributionally Robust Optimization Model for Heat Pump Day-ahead Operational Schedule in Distribution Networks.
CoRR, 2017

Location Model Research of Charging Station for Electric Vehicle Based on Users' Benefit.
Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017

2015
An innocuous spine structure analysis method based on surface asymmetry evaluation.
Proceedings of the 8th International Conference on Biomedical Engineering and Informatics, 2015


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