Jiacheng Zhu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
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Bibliography
2025
CoRR, May, 2025
Line-Frame Combined Multi-Slit Hyperspectral Imaging System for Simplified and High-Precision UAV Remote Sensing Solution.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with prior knowledge.
Neurocomputing, 2025
Hypergraph-driven soft semantics flexible learning for visible-infrared person re-identification.
Eng. Appl. Artif. Intell., 2025
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
A Privacy-aware Quantilisation Approach for Efficient Edge Deep Learning Accelerator.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025
Late Breaking Results: Approximated LUT-Based Neural Networks for FPGA Accelerated Inference.
Proceedings of the Design, Automation & Test in Europe Conference, 2025
SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Dynamic travel time prediction with spatiotemporal features: using a GNN-based deep learning method.
Ann. Oper. Res., September, 2024
Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving.
IEEE Robotics Autom. Lett., May, 2024
Hardware/software security co-verification and vulnerability detection: An information flow perspective.
Integr., January, 2024
UIR-ES: An unsupervised underwater image restoration framework with equivariance and stein unbiased risk estimator.
Image Vis. Comput., 2024
Neurocomputing, 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.
CoRR, 2024
Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge.
CoRR, 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the 2024 IEEE Global Communications Conference, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Geostationary Full-Spectrum Wide-Swath High-Fidelity Imaging Spectrometer: Optical Design and Prototype Development.
Remote. Sens., January, 2023
Interpretable Multi-Modal Stacking-Based Ensemble Learning Method for Real Estate Appraisal.
IEEE Trans. Multim., 2023
Traffic flow and speed forecasting through a Bayesian deep multi-linear relationship network.
Expert Syst. Appl., 2023
Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report.
Proceedings of the Machine Learning for Health, 2023
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
IROS, 2023
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments.
IROS, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Computer Science and Education. Computer Science and Technology, 2023
Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Proceedings of the 32nd IEEE Asian Test Symposium, 2023
Proceedings of the 32nd IEEE Asian Test Symposium, 2023
SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
VThunter: a database for single-cell screening of virus target cells in the animal kingdom.
Nucleic Acids Res., 2022
CoRR, 2022
An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram.
CoRR, 2022
Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction.
CoRR, 2022
Re-vibe: vibration-based indoor person re-identification through cross-structure optimal transport.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction.
Proceedings of the Machine Learning for Healthcare Conference, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
FedHD: A Privacy-Preserving Recommendation System with Homomorphic Encryption and Differential Privacy.
Proceedings of the Computer Science and Education - 17th International Conference, 2022
Proceedings of the Conference on Robot Learning, 2022
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression.
Proceedings of the Conference on Health, Inference, and Learning, 2022
2021
Input data selection for daily traffic flow forecasting through contextual mining and intra-day pattern recognition.
Expert Syst. Appl., 2021
Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling.
CoRR, 2021
Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data.
CoRR, 2021
CoRR, 2021
Accelerating hardware security verification and vulnerability detection through state space reduction.
Comput. Secur., 2021
Proceedings of the 34th IEEE International System-on-Chip Conference, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 16th International Conference on Computer Science & Education, 2021
Proceedings of the 16th International Conference on Computer Science & Education, 2021
Proceedings of the Asian Hardware Oriented Security and Trust Symposium, 2021
2020
IEEE Trans. Intell. Veh., 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
An efficient anonymous remote attestation scheme for trusted computing based on improved CPK.
Electron. Commer. Res., 2019
Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process.
CoRR, 2019
CoRR, 2019
Estimating Risk Levels of Driving Scenarios through Analysis of Driving Styles for Autonomous Vehicles.
CoRR, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2010
Proceedings of the Computational Intelligence and Intelligent Systems, 2010