Jiacheng Zhu

According to our database, Jiacheng Zhu authored at least 79 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Dujuan Wang, Jiacheng Zhu, Yunqiang Yin, Joshua Ignatius, Xiaowen Wei, Ajay Kumar

Ann. Oper. Res., September, 2024

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

Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao

IEEE Robotics Autom. Lett., May, 2024

Hardware/software security co-verification and vulnerability detection: An information flow perspective.

Maoyuan Qin, Jiacheng Zhu, Baolei Mao, Wei Hu

Integr., January, 2024

UIR-ES: An unsupervised underwater image restoration framework with equivariance and stein unbiased risk estimator.

Jiacheng Zhu, Junjie Wen, Duanqin Hong, Zhanpeng Lin, Wenxing Hong

Image Vis. Comput., 2024

Emotion knowledge-based fine-grained facial expression recognition.

Jiacheng Zhu, Yu Ding, Hanwei Liu, Keyu Chen, Zhanpeng Lin, Wenxing Hong

Neurocomputing, 2024

StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples.

Ajay Patel, Jiacheng Zhu, Justin Qiu, Zachary Horvitz, Marianna Apidianaki, Kathy McKeown, Chris Callison-Burch

CoRR, 2024

LEMoN: Label Error Detection using Multimodal Neighbors.

Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi

CoRR, 2024

BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning.

Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao

CoRR, 2024

Fast, Scalable, Energy-Efficient Non-element-wise Matrix Multiplication on FPGA.

Xuqi Zhu, Huaizhi Zhang, JunKyu Lee, Jiacheng Zhu, Chandrajit Pal, Sangeet Saha, Klaus D. McDonald-Maier, Xiaojun Zhai

CoRR, 2024

Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead.

Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon

CoRR, 2024

Introducing v0.5 of the AI Safety Benchmark from MLCommons.

Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren

CoRR, 2024

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo

CoRR, 2024

Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge.

Zhongzhi Li, Jingqi Tu, Jiacheng Zhu, Jianliang Ai, Yiqun Dong

CoRR, 2024

Asymmetry in Low-Rank Adapters of Foundation Models.

Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos.

Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Ding Zhao, Bo Li, Lijuan Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NIRVANA: Non-Invasive Real-Time VulnerAbility ANAlysis for RISC-V Processor.

Jiacheng Zhu, Xuqi Zhu, Michal Borowski, Huaizhi Zhang, Chandrajit Pal, Sangeet Saha, Dongbing Gu, Klaus D. McDonald-Maier, Xiaojun Zhai

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024

Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations.

Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao

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.

Jiacheng Zhu, Zhicheng Zhao, Quan Liu, Xinhua Chen, Huan Li, Shaofan Tang, Weimin Shen

Remote. Sens., January, 2023

Interpretable Multi-Modal Stacking-Based Ensemble Learning Method for Real Estate Appraisal.

Sutong Wang, Jiacheng Zhu, Yunqiang Yin, Dujuan Wang, T. C. Edwin Cheng, Yanzhang Wang

IEEE Trans. Multim., 2023

Traffic flow and speed forecasting through a Bayesian deep multi-linear relationship network.

Dongfang Ma, Jiacheng Zhu, Xiang (Ben) Song, Xin Wang

Expert Syst. Appl., 2023

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

Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao

CoRR, 2023

Datasets and Benchmarks for Offline Safe Reinforcement Learning.

Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao

CoRR, 2023

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

Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Bo Li, Ding Zhao, Lijuan Wang

CoRR, 2023

Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging.

Jielin Qiu, Peide Huang, Makiya Nakashima, Jaehyun Lee, Jiacheng Zhu, W. H. Wilson Tang, Pohao Chen, Christopher Nguyen, Byung-Hak Kim, Debbie Kwon, Douglas Weber, Ding Zhao, David Chen

CoRR, 2023

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

Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao

CoRR, 2023

Interpolation for Robust Learning: Data Augmentation on Geodesics.

Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao

CoRR, 2023

Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning.

Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao

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.

Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao

Proceedings of the Machine Learning for Health, 2023

Interactive Car-Following: Matters but NOT Always.

Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning.

Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang

IROS, 2023

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments.

Hanjiang Hu, Baoquan Yang, Zhijian Qiao, Shiqi Liu, Jiacheng Zhu, Zuxin Liu, Wenhao Ding, Ding Zhao, Hesheng Wang

IROS, 2023

Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics.

Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao

Proceedings of the International Conference on Machine Learning, 2023

CTAN: Collaborative Tag-Aware Attentive Network for Recommendation.

Wenxing Hong, Zhuomin Li, Xiang Li, Jiacheng Zhu

Proceedings of the Computer Science and Education. Computer Science and Technology, 2023

Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation.

Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Peide Huang, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao

Proceedings of the IEEE International Conference on Acoustics, 2023

Can Brain Signals Reveal Inner Alignment with Human Languages?

Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao

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?

Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Security Verification of RISC-V System Based on ISA Level Information Flow Tracking.

Lingjuan Wu, Yifei Gao, Jiacheng Zhu, Yu Tai, Wei Hu

Proceedings of the 32nd IEEE Asian Test Symposium, 2023

Verifying RISC-V Privilege Transition Integrity Through Symbolic Execution.

Shibo Tang, Jiacheng Zhu, Yifei Gao, Jing Zhou, Dejun Mu, Wei Hu

Proceedings of the 32nd IEEE Asian Test Symposium, 2023

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

Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

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

Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi

IEEE Trans. Intell. Transp. Syst., 2022

Understanding V2V Driving Scenarios Through Traffic Primitives.

Wenshuo Wang, Weiyang Zhang, Jiacheng Zhu, Ding Zhao

IEEE Trans. Intell. Transp. Syst., 2022

VThunter: a database for single-cell screening of virus target cells in the animal kingdom.

Dongsheng Chen, Cong Tan, Peiwen Ding, Lihua Luo, Jiacheng Zhu, Xiaosen Jiang, Zhihua Ou, Xiangning Ding, Tianming Lan, Yixin Zhu, Yi Jia, Yanan Wei, Runchu Li, Qiuyu Qin, Chengcheng Sun, Wandong Zhao, Zhiyuan Lv, Haoyu Wang, Wendi Wu, Yuting Yuan, Mingyi Pu, Yuejiao Li, Yanan Zhang, Ashley Chang, Guoji Guo, Yong Bai, Xin Jin, Huan Liu

Nucleic Acids Res., 2022

Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment.

Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin

CoRR, 2022

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

William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao

CoRR, 2022

MHMS: Multimodal Hierarchical Multimedia Summarization.

Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin

CoRR, 2022

Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction.

Jielin Qiu, Jiacheng Zhu, Michael A. Rosenberg, Emerson Liu, Ding Zhao

CoRR, 2022

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

Yiwen Dong, Jiacheng Zhu, Hae Young Noh

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.

Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao

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.

Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao

Proceedings of the Machine Learning for Healthcare Conference, 2022

Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling.

Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao

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.

Wenxing Hong, Hejia Zhang, Jiacheng Zhu

Proceedings of the Computer Science and Education - 17th International Conference, 2022

Robustness Certification of Visual Perception Models via Camera Motion Smoothing.

Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao

Proceedings of the Conference on Robot Learning, 2022

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

Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren

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.

Dongfang Ma, Xiang Ben Song, Jiacheng Zhu, Weihao Ma

Expert Syst. Appl., 2021

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

Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao

CoRR, 2021

Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data.

Jiacheng Zhu, Aritra Guha, Mengdi Xu, Yingchen Ma, Rayleigh Lei, Vincenzo Loffredo, XuanLong Nguyen, Ding Zhao

CoRR, 2021

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

Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Ding Zhao

CoRR, 2021

Accelerating hardware security verification and vulnerability detection through state space reduction.

Lixiang Shen, Dejun Mu, Guo Cao, Maoyuan Qin, Jiacheng Zhu, Wei Hu

Comput. Secur., 2021

Identifying Specious LUTs for Satisfiability Don't Care Trojan Detection.

Lingjuan Wu, Xuefei Li, Jiacheng Zhu, Jian Zheng, Wei Hu

Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

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

Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Liang Li, Ding Zhao

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

CAE: A Framework for Computer-Aided Talent Evaluation.

Wenxing Hong, Xiaolin Wu, Binyue Cui, Jiacheng Zhu, Yuwen Chen

Proceedings of the 16th International Conference on Computer Science & Education, 2021

Digitalization Capability Evaluation System and Practice.

Binyue Cui, Wenxing Hong, Jiacheng Zhu, Xiaolin Wu

Proceedings of the 16th International Conference on Computer Science & Education, 2021

A Correlation Fault Attack on Rotating S-Box Masking AES.

Xingxin Wang, Jian Zheng, Lingjuan Wu, Jiacheng Zhu, Wei Hu

Proceedings of the Asian Hardware Oriented Security and Trust Symposium, 2021

2020

Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories.

Wenshuo Wang, Aditya Ramesh, Jiacheng Zhu, Jie Li, Ding Zhao

IEEE Trans. Intell. Veh., 2020

Robust Unsupervised Learning of Temporal Dynamic Interactions.

Aritra Guha, Rayleigh Lei, Jiacheng Zhu, XuanLong Nguyen, Ding Zhao

CoRR, 2020

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

Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao

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.

Weiyang Zhang, Wenshuo Wang, Jiacheng Zhu, Ding Zhao

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

TAC-GAIL: A Multi-modal Imitation Learning Method.

Jiacheng Zhu, Chong Jiang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract).

Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract).

Chong Jiang, Zongzhang Zhang, Zixuan Chen, Jiacheng Zhu, Junpeng Jiang

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.

Fajiang Yu, Jing Chen, Yang Xiang, Jiacheng Zhu, Yangdi Zhao

Electron. Commer. Res., 2019

Recurrent Attentive Neural Process for Sequential Data.

Shenghao Qin, Jiacheng Zhu, Jimmy Qin, Wenshuo Wang, Ding Zhao

CoRR, 2019

Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process.

Jiacheng Zhu, Shenghao Qin, Wenshuo Wang, Ding Zhao

CoRR, 2019

A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos.

Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao

CoRR, 2019

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

Songlin Xu, Jiacheng Zhu

CoRR, 2019

A General Framework of Learning Multi-Vehicle Interaction Patterns from Video.

Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field.

Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives.

Jiacheng Zhu, Wenshuo Wang, Ding Zhao

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2010

An Efficient Genetic Algorithm for the Traveling Salesman Problem.

Guangfu Sun, Chengjun Li, Jiacheng Zhu, Yanpeng Li, Wei Liu

Proceedings of the Computational Intelligence and Intelligent Systems, 2010