Zikang Xiong - RankMe

25 papers A* 3A 2Misc 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Framework for Learning Scoring Rules in Autonomous Driving Planning Systems. CoRR Zikang Xiong, Joe Eappen, Suresh Jagannathan
2025	J	`jnl`	Convergence analysis of Anderson acceleration for nonlinear equations with Hölder continuous derivatives. CoRR Yonghui Ling, Zikang Xiong, Juan Liang
2025	A	`conf`	EffiTune: Diagnosing and Mitigating Training Inefficiency for Parameter Tuner in Robot Navigation System. IROS Shiwei Feng, Xuan Chen, Zikang Xiong, Zhiyuan Cheng, Yifei Gao, Siyuan Cheng, Sayali Kate, Xiangyu Zhang
2025	J	`jnl`	FLoRA: A Framework for Learning Scoring Rules in Autonomous Driving Planning Systems. IEEE Robotics Autom. Lett. Zikang Xiong, Joe Eappen, Suresh Jagannathan
2025	A*	`conf`	SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models. ICRA Yi Wu, Zikang Xiong, Yiran Hu, Shreyash S. Iyengar, Nan Jiang, Aniket Bera, Lin Tan, Suresh Jagannathan
2025	J	`jnl`	Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications. CoRR Joe Eappen, Zikang Xiong, Dipam Patel, Aniket Bera, Suresh Jagannathan
2025	J	`jnl`	Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving. CoRR Xuan Chen, Shiwei Feng, Zikang Xiong, Shengwei An, Yunshu Mao, Lu Yan, Guanhong Tao, Wenbo Guo, Xiangyu Zhang
2024	A*	`conf`	Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications. ICRA Zikang Xiong, Daniel Lawson, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan
2024	J	`jnl`	DIGIMON: Diagnosis and Mitigation of Sampling Skew for Reinforcement Learning based Meta-Planner in Robot Navigation. CoRR Shiwei Feng, Xuan Chen, Zhiyuan Cheng, Zikang Xiong, Yifei Gao, Siyuan Cheng, Sayali Kate, Xiangyu Zhang
2024	J	`jnl`	Manipulating Neural Path Planners via Slight Perturbations. CoRR Zikang Xiong, Suresh Jagannathan
2024	J	`jnl`	Manipulating Neural Path Planners via Slight Perturbations. IEEE Robotics Autom. Lett. Zikang Xiong, Suresh Jagannathan
2024	J	`jnl`	SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models. CoRR Yi Wu, Zikang Xiong, Yiran Hu, Shreyash S. Iyengar, Nan Jiang, Aniket Bera, Lin Tan, Suresh Jagannathan
2024	Misc	`conf`	Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications. CoRL Joe Eappen, Zikang Xiong, Dipam Patel, Aniket Bera, Suresh Jagannathan
2023	J	`jnl`	Co-learning Planning and Control Policies Using Differentiable Formal Task Constraints. CoRR Zikang Xiong, Joe Eappen, Daniel Lawson, Ahmed H. Qureshi, Suresh Jagannathan
2022	—	`conf`	Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising. ECML/PKDD (3) Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan
2022	J	`jnl`	Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising. CoRR Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan
2022	—	`conf`	HiSaRL: A Hierarchical Framework for Safe Reinforcement Learning. SafeAI@AAAI Zikang Xiong, Ishika Agarwal, Suresh Jagannathan
2022	A	`conf`	Model-free Neural Lyapunov Control for Safe Robot Navigation. IROS Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan
2022	J	`jnl`	Model-free Neural Lyapunov Control for Safe Robot Navigation. CoRR Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan
2022	J	`jnl`	Representative Points Based on Power Exponential Kernel Discrepancy. Axioms Zikang Xiong, Yao Xiao, Jianhui Ning, Hong Qin
2021	J	`jnl`	Scalable Synthesis of Verified Controllers in Deep Reinforcement Learning. CoRR Zikang Xiong, Suresh Jagannathan
2020	J	`jnl`	Batch Sequential Adaptive Designs for Global Optimization. CoRR Jianhui Ning, Yao Xiao, Zikang Xiong
2020	J	`jnl`	Robustness to Adversarial Attacks in Learning-Enabled Controllers. CoRR Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan
2019	J	`jnl`	An Inductive Synthesis Framework for Verifiable Reinforcement Learning. CoRR He Zhu, Zikang Xiong, Stephen Magill, Suresh Jagannathan
2019	A*	`conf`	An inductive synthesis framework for verifiable reinforcement learning. PLDI He Zhu, Zikang Xiong, Stephen Magill, Suresh Jagannathan