Zhiheng Li

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

Bibliography

2024
SANet: A Self-Attention Network for Agricultural Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

FairRAG: Fair Human Generation via Fair Retrieval Augmentation.
CoRR, 2024

Discover and Mitigate Multiple Biased Subgroups in Image Classifiers.
CoRR, 2024

Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution.
CoRR, 2024

SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud Tracking.
CoRR, 2024

2023
Visual prior-based cross-modal alignment network for radiology report generation.
Comput. Biol. Medicine, November, 2023

A censored semi-bandit model for resource allocation in bike sharing systems.
Expert Syst. Appl., April, 2023

Pareto-based Multi-Objective Recommender System with Forgetting Curve.
CoRR, 2023

Side4Video: Spatial-Temporal Side Network for Memory-Efficient Image-to-Video Transfer Learning.
CoRR, 2023

ControlLLM: Augment Language Models with Tools by Searching on Graphs.
CoRR, 2023

Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations.
CoRR, 2023

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving.
CoRR, 2023

Normalization Enhances Generalization in Visual Reinforcement Learning.
CoRR, 2023

MFA: Multi-layer Feature-aware Attack for Object Detection.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Analysis of the key factors for generation capacity adequacy: A real-world case study.
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Real-Time Human Reconstruction Based on Human Pose Prior and Epipolar Refinement.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations.
CoRR, 2022

Multiple Object Tracking Challenge Technical Report for Team MT_IoT.
CoRR, 2022

Application of Stackelberg incentive mechanism in vehicle dispatching.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

Spatiotemporal Indexing and Query Application on Cassandra for Large-Scale Trajectory Data.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

2021
Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data.
CoRR, 2021

2020
A study of deep learning approaches for medication and adverse drug event extraction from clinical text.
J. Am. Medical Informatics Assoc., 2020

Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration.
CoRR, 2020

2019
Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text.
BMC Medical Informatics Decis. Mak., 2019

Time-sensitive clinical concept embeddings learned from large electronic health records.
BMC Medical Informatics Decis. Mak., 2019

Early Prediction of 30-day ICU Re-admissions Using Natural Language Processing and Machine Learning.
CoRR, 2019

A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions.
IEEE Access, 2019

Comprehensive Predictive Control Method for Automated Vehicles With Delays.
IEEE Access, 2019

Detect Attributes of Medical Concepts via Sequence Labeling.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018
Traffic Voting System to Achieve the Balance Between Privacy and Trip Chain Data Acquisition.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

2014
Surrogate-Based Optimization of Expensive-to-Evaluate Objective for Optimal Highway Toll Charges in Transportation Network.
Comput. Aided Civ. Infrastructure Eng., 2014

2010
A multi-agent coordinate model for urban traffic signal control.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

2009
Transportation Demand Management for Beijing 2008 Olympic Games.
Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009

2008
A data mining proxy approach for efficient frequent itemset mining.
VLDB J., 2008

Control Mechanism Analysis of Small-Agent Networks Using a Distinguished Node Model for Urban Traffic Controls.
IEEE Trans Autom. Sci. Eng., 2008

Interactive Signal Control for Over-saturated Arterial Intersections Using Fuzzy Logic.
Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008

2007
A Transportation Facilities Management Tree Model Based on IPv6.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007

2004
Spatial-temporal traffic data analysis based on global data management using MAS.
IEEE Trans. Intell. Transp. Syst., 2004

Data Mining Proxy: Serving Large Number of Users for Efficient Frequent Itemset Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004


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