Jiacheng Zhu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 85

Top Topics

Gaussian Random Field

Reinforcement Learning

Autonomous Driving

Top Venues

Publications

Xuqi Zhu, Huaizhi Zhang, JunKyu Lee, Jiacheng Zhu, Chandrajit Pal, Sangeet Saha, Klaus D. McDonald-Maier, Xiaojun Zhai
Fast, Scalable, Energy-Efficient Non-element-wise Matrix Multiplication on FPGA. CoRR (2024)
Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon
Asymmetry in Low-Rank Adapters of Foundation Models. CoRR (2024)
Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. CoRR (2024)
Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao
Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving. IEEE Robotics Autom. Lett. 9 (5) (2024)
Maoyuan Qin, Jiacheng Zhu, Baolei Mao, Wei Hu
Hardware/software security co-verification and vulnerability detection: An information flow perspective. Integr. 94 (2024)
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
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR (2024)
Zhongzhi Li, Jingqi Tu, Jiacheng Zhu, Jianliang Ai, Yiqun Dong
Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge. CoRR (2024)
Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi
LEMoN: Label Error Detection using Multimodal Neighbors. CoRR (2024)
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
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR (2024)
Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. AISTATS (2024)
Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. CoRR (2024)
Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao
Interpolation for Robust Learning: Data Augmentation on Geodesics. CoRR (2023)
Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report. ML4H@NeurIPS (2023)
Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Peide Huang, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao
Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation. ICASSP (2023)
Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? EACL (Findings) (2023)
Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? CoRR (2023)
Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun
Interactive Car-Following: Matters but NOT Always. ITSC (2023)
Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. CoRR (2023)
Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. IROS (2023)
Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao
Can Brain Signals Reveal Inner Alignment with Human Languages? EMNLP (Findings) (2023)
Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin
SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment. ACL (Findings) (2023)
Lingjuan Wu, Yifei Gao, Jiacheng Zhu, Yu Tai, Wei Hu
Security Verification of RISC-V System Based on ISA Level Information Flow Tracking. ATS (2023)
Jiacheng Zhu, Zhicheng Zhao, Quan Liu, Xinhua Chen, Huan Li, Shaofan Tang, Weimin Shen
Geostationary Full-Spectrum Wide-Swath High-Fidelity Imaging Spectrometer: Optical Design and Prototype Development. Remote. Sens. 15 (2) (2023)
Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. CoRR (2023)
Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Bo Li, Ding Zhao, Lijuan Wang
MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos. CoRR (2023)
Shibo Tang, Jiacheng Zhu, Yifei Gao, Jing Zhou, Dejun Mu, Wei Hu
Verifying RISC-V Privilege Transition Integrity Through Symbolic Execution. ATS (2023)
Sutong Wang, Jiacheng Zhu, Yunqiang Yin, Dujuan Wang, T. C. Edwin Cheng, Yanzhang Wang
Interpretable Multi-Modal Stacking-Based Ensemble Learning Method for Real Estate Appraisal. IEEE Trans. Multim. 25 (2023)
Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
Datasets and Benchmarks for Offline Safe Reinforcement Learning. CoRR (2023)
Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao
Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding. CoRR (2023)
Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao
Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving. CoRR (2023)
Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics. ICML (2023)
Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. NeurIPS (2023)
Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun
Interactive Car-Following: Matters but NOT Always. CoRR (2023)
Dongfang Ma, Jiacheng Zhu, Xiang (Ben) Song, Xin Wang
Traffic flow and speed forecasting through a Bayesian deep multi-linear relationship network. Expert Syst. Appl. 213 (Part) (2023)
Hanjiang Hu, Baoquan Yang, Zhijian Qiao, Shiqi Liu, Jiacheng Zhu, Zuxin Liu, Wenhao Ding, Ding Zhao, Hesheng Wang
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments. IROS (2023)
Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. CoRR (2023)
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
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging. CoRR (2023)
Wenxing Hong, Zhuomin Li, Xiang Li, Jiacheng Zhu
CTAN: Collaborative Tag-Aware Attentive Network for Recommendation. ICCSE (1) (2023)
Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction. MLHC (2022)
Wenxing Hong, Hejia Zhang, Jiacheng Zhu
FedHD: A Privacy-Preserving Recommendation System with Homomorphic Encryption and Differential Privacy. ICCSE (1) (2022)
Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression. CoRR (2022)
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
VThunter: a database for single-cell screening of virus target cells in the animal kingdom. Nucleic Acids Res. 50 (D1) (2022)
Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRR (2022)
Wenshuo Wang, Weiyang Zhang, Jiacheng Zhu, Ding Zhao
Understanding V2V Driving Scenarios Through Traffic Primitives. IEEE Trans. Intell. Transp. Syst. 23 (1) (2022)
Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin
Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment. CoRR (2022)
William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao
An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram. CoRR (2022)
Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao
Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling. IROS (2022)
Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRL (2022)
Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction. CoRR (2022)
Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression. CHIL (2022)
Yiwen Dong, Jiacheng Zhu, Hae Young Noh
Re-vibe: vibration-based indoor person re-identification through cross-structure optimal transport. BuildSys@SenSys (2022)
Jielin Qiu, Jiacheng Zhu, Michael Rosenberg, Emerson Liu, Ding Zhao
Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction. CoRR (2022)
Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. NeurIPS (2022)
Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. CoRR (2022)
Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin
MHMS: Multimodal Hierarchical Multimedia Summarization. CoRR (2022)
Binyue Cui, Wenxing Hong, Jiacheng Zhu, Xiaolin Wu
Digitalization Capability Evaluation System and Practice. ICCSE (2021)
Xingxin Wang, Jian Zheng, Lingjuan Wu, Jiacheng Zhu, Wei Hu
A Correlation Fault Attack on Rotating S-Box Masking AES. AsianHOST (2021)
Wenxing Hong, Xiaolin Wu, Binyue Cui, Jiacheng Zhu, Yuwen Chen
CAE: A Framework for Computer-Aided Talent Evaluation. ICCSE (2021)
Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Ding Zhao
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. CoRR (2021)
Lixiang Shen, Dejun Mu, Guo Cao, Maoyuan Qin, Jiacheng Zhu, Wei Hu
Accelerating hardware security verification and vulnerability detection through state space reduction. Comput. Secur. 103 (2021)
Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao
Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling. CoRR (2021)
Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Liang Li, Ding Zhao
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. ICRA (2021)
Dongfang Ma, Xiang Ben Song, Jiacheng Zhu, Weihao Ma
Input data selection for daily traffic flow forecasting through contextual mining and intra-day pattern recognition. Expert Syst. Appl. 176 (2021)
Jiacheng Zhu, Aritra Guha, Mengdi Xu, Yingchen Ma, Rayleigh Lei, Vincenzo Loffredo, XuanLong Nguyen, Ding Zhao
Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data. CoRR (2021)
Lingjuan Wu, Xuefei Li, Jiacheng Zhu, Jian Zheng, Wei Hu
Identifying Specious LUTs for Satisfiability Don't Care Trojan Detection. SoCC (2021)
Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes. CoRR (2020)
Weiyang Zhang, Wenshuo Wang, Jiacheng Zhu, Ding Zhao
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression. IV (2020)
Chong Jiang, Zongzhang Zhang, Zixuan Chen, Jiacheng Zhu, Junpeng Jiang
Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract). AAAI (2020)
Wenshuo Wang, Aditya Ramesh, Jiacheng Zhu, Jie Li, Ding Zhao
Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories. IEEE Trans. Intell. Veh. 5 (3) (2020)
Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes. NeurIPS (2020)
Jiacheng Zhu, Chong Jiang
TAC-GAIL: A Multi-modal Imitation Learning Method. ICONIP (2) (2020)
Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang
Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract). AAAI (2020)
Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios. CoRR (2020)
Aritra Guha, Rayleigh Lei, Jiacheng Zhu, XuanLong Nguyen, Ding Zhao
Robust Unsupervised Learning of Temporal Dynamic Interactions. CoRR (2020)
Songlin Xu, Jiacheng Zhu
Estimating Risk Levels of Driving Scenarios through Analysis of Driving Styles for Autonomous Vehicles. CoRR (2019)
Shenghao Qin, Jiacheng Zhu, Jimmy Qin, Wenshuo Wang, Ding Zhao
Recurrent Attentive Neural Process for Sequential Data. CoRR (2019)
Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao
A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos. CoRR (2019)
Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. CoRR (2019)
Fajiang Yu, Jing Chen, Yang Xiang, Jiacheng Zhu, Yangdi Zhao
An efficient anonymous remote attestation scheme for trusted computing based on improved CPK. Electron. Commer. Res. 19 (3) (2019)
Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. ITSC (2019)
Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao
A General Framework of Learning Multi-Vehicle Interaction Patterns from Video. ITSC (2019)
Jiacheng Zhu, Shenghao Qin, Wenshuo Wang, Ding Zhao
Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process. CoRR (2019)
Jiacheng Zhu, Wenshuo Wang, Ding Zhao
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives. ITSC (2018)
Jiacheng Zhu, Wenshuo Wang, Ding Zhao
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives. CoRR (2018)
Guangfu Sun, Chengjun Li, Jiacheng Zhu, Yanpeng Li, Wei Liu
An Efficient Genetic Algorithm for the Traveling Salesman Problem. ISICA (2) (2010)