Jiacheng Zhu

发表

Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field

Wenshuo Wang, Ding Zhao, Yaohui Guo, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction

Bo Li, Ding Zhao, Jielin Qiu, 2022, MLHC.

Robustness Certification of Visual Perception Models via Camera Motion Smoothing

Linyi Li, Ding Zhao, Zuxin Liu, 2022, 2210.04625.

Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment

Bo Li, Hailin Jin, Trung Bui, 2022, ArXiv.

Robustness Certification of Visual Perception Models via Camera Motion Smoothing

Linyi Li, Ding Zhao, Zuxin Liu, 2022, CoRL.

Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling

H. Lam, Fengpei Li, Ding Zhao, 2021, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?

Ding Zhao, Jiacheng Zhu, Emerson Liu, 2023, 2301.09017.

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation

Ding Zhao, Peide Huang, Laixi Shi, 2022, NeurIPS.

GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning

Ding Zhao, Jiacheng Zhu, Yaru Niu, 2023, ArXiv.

Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios pdf

Wenshuo Wang, Chengyuan Zhang, Junqiang Xi, 2020, IEEE Transactions on Intelligent Transportation Systems.

Robust Unsupervised Learning of Temporal Dynamic Interactions pdf

Ding Zhao, Aritra Guha, Jiacheng Zhu, 2020, ArXiv.

Estimating Risk Levels of Driving Scenarios through Analysis of Driving Styles for Autonomous Vehicles pdf

Songlin Xu, Jiacheng Zhu, Jiacheng Zhu, 2019, ArXiv.

Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes pdf

Wenhao Ding, Baiming Chen, Mengdi Xu, 2020, NeurIPS.

Recurrent Attentive Neural Process for Sequential Data pdf

Wenshuo Wang, Ding Zhao, Jiacheng Zhu, 2019, ArXiv.

Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?

Ding Zhao, Jiacheng Zhu, W. Han, 2023, FINDINGS.

A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives

Wenshuo Wang, Ding Zhao, Jiacheng Zhu, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging

Ding Zhao, Byung-Hak Kim, Peide Huang, 2023, ArXiv.

Interpolation for Robust Learning: Data Augmentation on Geodesics

X. Nguyen, Aritra Guha, Bo Li, 2023, ArXiv.

MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos

Bo Li, Ding Zhao, Lijuan Wang, 2023, 2306.04216.

Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding

Ding Zhao, Jiacheng Zhu, Douglas Weber, 2023, ArXiv.

Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation

Ding Zhao, Peide Huang, Jiacheng Zhu, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction

Jiacheng Zhu, Michael Rosenberg, Jielin Qiu, 2022, ArXiv.

Functional optimal transport: map estimation and domain adaptation for functional data

X. Nguyen, Aritra Guha, Ding Zhao, 2021, 2102.03895.

MHMS: Multimodal Hierarchical Multimedia Summarization

Bo Li, Hailin Jin, Trung Bui, 2022, ArXiv.

Context-Aware Safe Reinforcement Learning for Non-Stationary Environments pdf

Wenhao Ding, Baiming Chen, Mengdi Xu, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics

X. Nguyen, Aritra Guha, Bo Li, 2023, ICML.

Re-vibe: vibration-based indoor person re-identification through cross-structure optimal transport

Jiacheng Zhu, Hae Young Noh, Yiwen Dong, 2022, BuildSys@SenSys.

An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram

Bo Li, Ding Zhao, Jiacheng Zhu, 2022, ArXiv.

PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression

X. Nguyen, Bo Li, Ding Zhao, 2022, CHIL.

Functional optimal transport: map estimation and domain adaptation for functional data

X. Nguyen, Aritra Guha, Ding Zhao, 2021, 2102.03895.

Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling pdf

Ding Zhao, Henry Lam, Xuewei Qi, 2021, ArXiv.

Datasets and Benchmarks for Offline Safe Reinforcement Learning

Jie Tan, Wenhao Yu, Tingnan Zhang, 2023, ArXiv.

Interpolation for Robust Learning: Data Augmentation on Geodesics

X. Nguyen, Aritra Guha, Bo Li, 2023, ArXiv.

GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning

Ding Zhao, Jiacheng Zhu, Yaru Niu, 2023, arXiv.org.

Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving

Wenhao Ding, Zuxin Liu, Jiacheng Zhu, 2023, ArXiv.

Dynamic travel time prediction with spatiotemporal features: using a GNN-based deep learning method

Yunqiang Yin, Dujuan Wang, Joshua Ignatius, 2023, Annals of Operations Research.

Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning

Zuxin Liu, Jiacheng Zhu, Zhepeng Cen, 2023, ArXiv.

SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment

Bo Li, Hailin Jin, Trung Bui, 2023, ACL.

Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving

Zuxin Liu, Jiacheng Zhu, Hao-ming Lin, 2023, IEEE Robotics and Automation Letters.

Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations

Linyi Li, Ding Zhao, Zuxin Liu, 2023, AISTATS.