Power-Aware Traffic Engineering with Named Data Networking. - Yunlong Song; Min Liu 001; Yuwei Wang 003 (MSN, 2011)

Understanding the basic principles implied in green traffic routing. - Yunlong Song; Min Liu (ISCC, 2012)

Time series matrix factorization prediction of internet traffic matrices. - Yunlong Song; Min Liu 001; Shaojie Tang 001; XuFei Mao (LCN, 2012)

Greedy-based distributed algorithms for green traffic routing. - Yunlong Song; Min Liu (ICCCN, 2014)

Towards the emergency for Green Networking with robust algorithm. - Yunlong Song; Min Liu (ISCC, 2014)

ADMET evaluation in drug discovery: 15. Accurate prediction of rat oral acute toxicity using relevance vector machine and consensus modeling. - Tailong Lei; Youyong Li; Yunlong Song; Dan Li 013; Huiyong Sun; Tingjun Hou (J. Cheminformatics, 2016)

Flightmare: A Flexible Quadrotor Simulator. - Yunlong Song; Selim Naji; Elia Kaufmann; Antonio Loquercio; Davide Scaramuzza 001 (CoRL, 2020)

Learning High-Level Policies for Model Predictive Control. - Yunlong Song; Davide Scaramuzza 001 (IROS, 2020)

Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning. - Yunlong Song; HaoChih Lin; Elia Kaufmann; Peter Dürr; Davide Scaramuzza 001 (ICRA, 2021)

Autonomous Drone Racing with Deep Reinforcement Learning. - Yunlong Song; Mats Steinweg; Elia Kaufmann; Davide Scaramuzza 001 (IROS, 2021)

Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning. - Florian Fuchs 004; Yunlong Song; Elia Kaufmann; Davide Scaramuzza 001; Peter Dürr (IEEE Robotics Autom. Lett., 2021)

Light-GC: a lightweight and efficient garbage collection scheme for embedded file systems. - Diansen Sun; Yunlong Song; Yunpeng Chai; Baoling Peng; Fangzhou Lu; Xiang Deng (Middleware, 2022)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022. - Xuesu Xiao; Zifan Xu; Zizhao Wang; Yunlong Song; Garrett Warnell; Peter Stone 001; Tingnan Zhang; Shravan Ravi; Gary Wang; Haresh Karnan; Joydeep Biswas; Nicholas Mohammad; et al. (CoRR, 2022)

Learning Minimum-Time Flight in Cluttered Environments. - Robert Penicka; Yunlong Song; Elia Kaufmann; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2022)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions]. - Xuesu Xiao; Zifan Xu; Zizhao Wang; Yunlong Song; Garrett Warnell; Peter Stone 001; Tingnan Zhang; Shravan Ravi; Gary Wang; Haresh Karnan; Joydeep Biswas; Nicholas Mohammad; et al. (IEEE Robotics Autom. Mag., 2022)

Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight. - Philipp Foehn; Elia Kaufmann; Angel Romero; Robert Penicka; Sihao Sun; Leonard Bauersfeld; Thomas Laengle; Giovanni Cioffi; Yunlong Song; Antonio Loquercio; Davide Scaramuzza 001 (Sci. Robotics, 2022)

Policy Search for Model Predictive Control With Application to Agile Drone Flight. - Yunlong Song; Davide Scaramuzza 001 (IEEE Trans. Robotics, 2022)

Weighted Maximum Likelihood for Controller Tuning. - Angel Romero; Shreedhar Govil; Gonca Yilmaz; Yunlong Song; Davide Scaramuzza 001 (ICRA, 2023)

Learning Perception-Aware Agile Flight in Cluttered Environments. - Yunlong Song; Kexin Shi; Robert Penicka; Davide Scaramuzza 001 (ICRA, 2023)

Learning Deep Sensorimotor Policies for Vision-Based Autonomous Drone Racing. - Jiawei Fu 003; Yunlong Song; Yan Wu; Fisher Yu 001; Davide Scaramuzza 001 (IROS, 2023)

Flymation: Interactive Animation for Flying Robots. - Yunlong Song; Davide Scaramuzza 001 (CoRR, 2023)

Latency Minimization for Mobile Edge Computing Enhanced Proximity Detection in Road Networks. - Yunlong Song; Yaqiong Liu; Yan Zhang 002; Zhifu Li; Guochu Shou (IEEE Trans. Netw. Sci. Eng., 2023)

Reaching the limit in autonomous racing: Optimal control versus reinforcement learning. - Yunlong Song; Angel Romero; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Sci. Robotics, 2023)

Learning Quadruped Locomotion Using Differentiable Simulation. - Yunlong Song; Sangbae Kim; Davide Scaramuzza 001 (CoRL, 2024)

Contrastive Initial State Buffer for Reinforcement Learning. - Nico Messikommer; Yunlong Song; Davide Scaramuzza 001 (ICRA, 2024)

Actor-Critic Model Predictive Control. - Angel Romero; Yunlong Song; Davide Scaramuzza 001 (ICRA, 2024)

Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight. - Jiaxu Xing; Leonard Bauersfeld; Yunlong Song; Chunwei Xing; Davide Scaramuzza 001 (ICRA, 2024)

Learning to Walk and Fly with Adversarial Motion Priors. - Giuseppe L'Erario; Drew Hanover; Angel Romero; Yunlong Song; Gabriele Nava; Paolo Maria Viceconte; Daniele Pucci; Davide Scaramuzza 001 (IROS, 2024)

Agile Robotics: Optimal Control, Reinforcement Learning, and Differentiable Simulation. - Yunlong Song; Davide Scaramuzza 001 (CoRR, 2024)

Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics. - Yuang Zhang; Yu Hu 019; Yunlong Song; Danping Zou; Weiyao Lin (CoRR, 2024)

Residual Policy Learning for Perceptive Quadruped Control Using Differentiable Simulation. - Jing Yuan Luo; Yunlong Song; Victor Klemm; Fan Shi 002; Davide Scaramuzza 001; Marco Hutter 001 (CoRR, 2024)

Learning Quadrotor Control From Visual Features Using Differentiable Simulation. - Johannes Heeg; Yunlong Song; Davide Scaramuzza 001 (CoRR, 2024)

Research on Establishment and Application of Evaluation System of Urban Energy Strategy Development Indicators under the Perspective of Carbon Neutrality. - Chenyu Chen; Yunlong Song; Xuesong Ke; Yang Ping; Fangze Shang; Chaoyang Xiang; Qiang Chen; Haiwei Yin; Zhenzhou Zhang; Hao Fu; Fan Wu (EAI Endorsed Trans. Energy Web, 2024)

Autonomous Drone Racing: A Survey. - Drew Hanover; Antonio Loquercio; Leonard Bauersfeld; Angel Romero; Robert Penicka; Yunlong Song; Giovanni Cioffi; Elia Kaufmann; Davide Scaramuzza 001 (IEEE Trans. Robotics, 2024)

Multi-Task Reinforcement Learning for Quadrotors. - Jiaxu Xing; Ismail Geles; Yunlong Song; Elie Aljalbout; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2025)

Seeing Through Pixel Motion: Learning Obstacle Avoidance From Optical Flow With One Camera. - Yu Hu 019; Yuang Zhang; Yunlong Song; Yang Deng; Feng Yu; Linzuo Zhang; Weiyao Lin; Danping Zou; Wenxian Yu (IEEE Robotics Autom. Lett., 2025)