Zhaodan Kong - RankMe

76 papers A* 1A 2B 3C 3Journal 47Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	CohEx: A Generalized Framework for Cohort Explanation. AAAI Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen
2025	J	`jnl`	Guest Editorial: Special Section on Safety, Robustness, and Effectiveness in Human-Machine Teaming. IEEE Control. Syst. Lett. Yongcan Cao, Lixian Zhang, Abhinav Sinha, Xiaocong Li, Yanan Li, Jun Ma, Si-Lu Chen, Zhaodan Kong
2025	—	`conf`	Implet: A Post-Hoc Subsequence Explainer for Time Series Models. ICDM (Workshops) Fanyu Meng, Ziwen Kan, Shahbaz Rezaei, Zhaodan Kong, Xin Chen, Xin Liu
2025	J	`jnl`	Implet: A Post-hoc Subsequence Explainer for Time Series Models. CoRR Fanyu Meng, Ziwen Kan, Shahbaz Rezaei, Zhaodan Kong, Xin Chen, Xin Liu
2025	—	`conf`	Latent variables, temporal convolutional neural networks and decision-making: creating insight into how we deliberate. IEEECONF Karen A. Moxon, Ariana Moghbel, Zhaodan Kong, Alec Roadarmel, Vincent Tran, Jochen Ditterich, Ignacio Saez, Logan Peters
2025	J	`jnl`	Modeling trust and its dynamics from physiological signals and embedded measures for operational human-autonomy teaming. Frontiers Robotics AI Abigail Rindfuss, Sarah Leary, Prachi Dutta, Ryan Chen, Torin K. Clark, Zhaodan Kong, Allison P. Anderson
2025	—	`conf`	Peak Delta Frequency Regulates the Timing of Decisions. IEEECONF Logan Peters, Gregory Bales, Vincent Tran, Ariana Moghbel, Zhaodan Kong, Karen Moxon
2025	J	`jnl`	Vision-based Navigation of Unmanned Aerial Vehicles in Orchards: An Imitation Learning Approach. CoRR Peng Wei, Prabhash Ragbir, Stavros G. Vougioukas, Zhaodan Kong
2025	J	`jnl`	Vision-based navigation of unmanned aerial vehicles in orchards: An imitation learning approach. Comput. Electron. Agric. Peng Wei, Prabhash Ragbir, Stavros G. Vougioukas, Zhaodan Kong
2024	J	`jnl`	A Compact Handheld Sensor Package with Sensor Fusion for Comprehensive and Robust 3D Mapping. Sensors Peng Wei, Kaiming Fu, Juan Villacrés, Thomas Ke, Kay Krachenfels, Curtis Ryan Stofer, Nima Bayati, Qikai Gao, Bill Zhang, Eric Vanacker, Zhaodan Kong
2024	J	`jnl`	A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series. CoRR Ziquan Deng, Xiwei Xuan, Kwan-Liu Ma, Zhaodan Kong
2024	J	`jnl`	Anytime Trust Rating Dynamics in a Human-Robot Interaction Task. CoRR Jason Dekarske, Gregory Bales, Zhaodan Kong, Sanjay S. Joshi
2024	J	`jnl`	CohEx: A Generalized Framework for Cohort Explanation. CoRR Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen
2024	J	`jnl`	Control/physical systems co-design with spectral temporal logic specifications and its applications to MEMS. Int. J. Control Gang Chen, Zhaodan Kong, Longhan Xie
2024	J	`jnl`	Dynamic Human Trust Modeling of Autonomous Agents With Varying Capability and Strategy. CoRR Jason Dekarske, Zhaodan Kong, Sanjay S. Joshi
2024	A	`conf`	Energy-Optimal Planning of Waypoint-Based UAV Missions - Does Minimum Distance Mean Minimum Energy? IROS Nicolas Michel, Ayush Patnaik, Zhaodan Kong, Xinfan Lin
2024	J	`jnl`	Energy-Optimal Planning of Waypoint-Based UAV Missions - Does Minimum Distance Mean Minimum Energy? CoRR Nicolas Michel, Ayush Patnaik, Zhaodan Kong, Xinfan Lin
2024	J	`jnl`	Interpreting Inflammation Prediction Model via Tag-based Cohort Explanation. CoRR Fanyu Meng, Jules Larke, Xin Liu, Zhaodan Kong, Xin Chen, Danielle G. Lemay, Ilias Tagkopoulos
2024	—	`conf`	Operationally Realistic Human-Autonomy Teaming Task Simulation to Study Multi-Dimensional Trust. HRI (Companion) Jaekeun Sung, Sarah Leary, Victoria S. Hurd, Christian Lee, Yimin Qin, Zhaodan Kong, Torin K. Clark, Allison P. Anderson
2024	J	`jnl`	Optical Flow as Spatial-Temporal Attention Learners. IEEE Trans. Pattern Anal. Mach. Intell. Yawen Lu, Cheng Han, Qifan Wang, Heng Fan, Zhaodan Kong, Dongfang Liu, Yingjie Victor Chen
2024	—	`conf`	SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective. XAI4CV Xiwei Xuan, Ziquan Deng, Hsuan-Tien Lin, Zhaodan Kong, Kwan-Liu Ma
2023	J	`jnl`	Causal Signal Temporal Logic for the Environmental Control and Life Support System's Fault Analysis and Explanation. IEEE Access Ziquan Deng, Samuel P. Eshima, James Nabity, Zhaodan Kong
2023	J	`jnl`	Causal explanation for reinforcement learning: quantifying state and temporal importance. Appl. Intell. Xiaoxiao Wang, Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen
2023	—	`conf`	Efficient Re-synthesis of Control Barrier Function via Safe Exploration. CDC Ashkan Zehfroosh, Zhaodan Kong, Stavros G. Vougioukas
2023	J	`jnl`	Fusion-Driven Tree Reconstruction and Fruit Localization: Advancing Precision in Agriculture. CoRR Kaiming Fu, Peng Wei, Juan Villacrés, Zhaodan Kong, Stavros G. Vougioukas, Brian N. Bailey
2023	J	`jnl`	Quantifying Causal Path-Specific Importance in Structural Causal Model. Comput. Xiaoxiao Wang, Minda Zhao, Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen
2023	J	`jnl`	SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective. CoRR Xiwei Xuan, Ziquan Deng, Hsuan-Tien Lin, Zhaodan Kong, Kwan-Liu Ma
2023	J	`jnl`	UAV-Based Wildland Fire Air Toxics Data Collection and Analysis. Sensors Prabhash Ragbir, Ajith Kaduwela, David Passovoy, Preet Amin, Shuchen Ye, Christopher Wallis, Christopher Alaimo, Thomas Young, Zhaodan Kong
2022	J	`jnl`	Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance. CoRR Xiaoxiao Wang, Fanyu Meng, Zhaodan Kong, Xin Chen, Xin Liu
2022	J	`jnl`	Data-driven vermiculite distribution modelling for UAV-based precision pest management. Frontiers Robotics AI Na Ma, Anil Mantri, Graham Bough, Ayush Patnaik, Siddhesh Yadav, Christian Nansen, Zhaodan Kong
2022	C	`conf`	Energy-Efficient UAV Trajectory Generation Based on System-Level Modeling of Multi-Physical Dynamics. ACC Nicolas Michel, Zhaodan Kong, Xinfan Lin
2022	J	`jnl`	Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network. CoRR Gang Chen, Yu Lu, Rong Su, Zhaodan Kong
2022	J	`jnl`	Neurophysiological and Behavioral Differences in Human-Multiagent Tasks: An EEG Network Perspective. ACM Trans. Hum. Robot Interact. Gregory Bales, Zhaodan Kong
2022	J	`jnl`	System identification of wind effects on multirotor aircraft. Int. J. Intell. Robotics Appl. Peng Wei, Xinfan Lin, Zhaodan Kong
2022	J	`jnl`	Vision-Based 2D Navigation of Unmanned Aerial Vehicles in Riverine Environments with Imitation Learning. J. Intell. Robotic Syst. Peng Wei, Ryan Liang, Andrew Michelmore, Zhaodan Kong
2021	J	`jnl`	Data-Driven Real-Valued Timed-Failure-Propagation-Graph Refinement for Complex System Fault Diagnosis. IEEE Control. Syst. Lett. Gang Chen, Xinfan Lin, Zhaodan Kong
2021	J	`jnl`	Interpretable Fault Diagnosis for Cyberphysical Systems: A Learning Perspective. Computer Ziquan Deng, Zhaodan Kong
2021	J	`jnl`	Temporal-Logic-Based Semantic Fault Diagnosis With Time-Series Data From Industrial Internet of Things. IEEE Trans. Ind. Electron. Gang Chen, Mei Liu, Zhaodan Kong
2020	J	`jnl`	Multi-Agent Cooperative Pursuit-Defense Strategy Against One Single Attacker. IEEE Robotics Autom. Lett. Ziquan Deng, Zhaodan Kong
2019	J	`jnl`	Mitigating ground effect on mini quadcopters with model reference adaptive control. Int. J. Intell. Robotics Appl. Peng Wei, Sui Nam Chan, Seongkyu Lee, Zhaodan Kong
2019	—	`conf`	Semantic Inference for Cyber-Physical Systems with Signal Temporal Logic. CDC Gang Chen, Mei Liu, Zhaodan Kong
2018	—	`conf`	Cognitive correlates of EEG spectral power indicate human-swarm task performance. IOT Gregory Bales, Zhaodan Kong
2018	C	`conf`	Data-Driven Approximate Abstraction for Black-Box Piecewise Affine Systems. ACC Gang Chen, Zhaodan Kong
2018	J	`jnl`	Data-Driven Approximate Abstraction for Black-Box Piecewise Affine Systems. CoRR Gang Chen, Zhaodan Kong
2018	J	`jnl`	Perceiving Artistic Expression: A Formal Exploration of Performance Art Salsa. IEEE Access Kayhan Özcimder, Zhaodan Kong, Shuai Wang, John Baillieul
2018	—	`conf`	Semantic parsing of automobile steering systems. IOT Gang Chen, Zachary Sabato, Zhaodan Kong
2017	J	`jnl`	Correct-by-Construction Approach for Self-Evolvable Robots. CoRR Gang Chen, Zhaodan Kong
2017	B	`conf`	Neurophysiological and behavioral studies of human-swarm interaction tasks. SMC Gregory Bales, Zhaodan Kong
2017	B	`conf`	Recurrent convolutional networks based intention recognition for human-robot collaboration tasks. SMC Zhichao Wang, Bin Wang, Hong Liu, Zhaodan Kong
2017	J	`jnl`	Temporal Logics for Learning and Detection of Anomalous Behavior. IEEE Trans. Autom. Control. Zhaodan Kong, Austin Jones, Calin Belta
2016	J	`jnl`	Active Requirement Mining of Bounded-Time Temporal Properties of Cyber-Physical Systems. CoRR Gang Chen, Zachary Sabato, Zhaodan Kong
2016	—	`conf`	Active learning based requirement mining for cyber-physical systems. CDC Gang Chen, Zachary Sabato, Zhaodan Kong
2016	J	`jnl`	Q-Learning for Robust Satisfaction of Signal Temporal Logic Specifications. CoRR Derya Aksaray, Austin Jones, Zhaodan Kong, Mac Schwager, Calin Belta
2016	—	`conf`	Q-Learning for robust satisfaction of signal temporal logic specifications. CDC Derya Aksaray, Austin Jones, Zhaodan Kong, Mac Schwager, Calin Belta
2015	—	`conf`	Enforcing temporal logic specifications via reinforcement learning. HSCC Austin Jones, Derya Aksaray, Zhaodan Kong, Mac Schwager, Calin Belta
2015	J	`jnl`	Robust Satisfaction of Temporal Logic Specifications via Reinforcement Learning. CoRR Austin Jones, Derya Aksaray, Zhaodan Kong, Mac Schwager, Calin Belta
2015	—	`conf`	SpaTeL: a novel spatial-temporal logic and its applications to networked systems. HSCC Iman Haghighi, Austin Jones, Zhaodan Kong, Ezio Bartocci, Radu Grosu, Calin Belta
2014	—	`conf`	Algorithmic approaches to artistic movement. CDC Kayhan Özcimder, Zhaodan Kong, John Baillieul
2014	—	`conf`	Anomaly detection in cyber-physical systems: A formal methods approach. CDC Austin Jones, Zhaodan Kong, Calin Belta
2014	J	`jnl`	Saliency Based Control in Random Feature Networks. CoRR John Baillieul, Zhaodan Kong
2014	—	`conf`	Saliency based control in random feature networks. CDC John Baillieul, Zhaodan Kong
2014	—	`conf`	Temporal logic inference for classification and prediction from data. HSCC Zhaodan Kong, Austin Jones, Ana Medina Ayala, Ebru Aydin Gol, Calin Belta
2013	J	`jnl`	Hierarchical Model of Human Guidance Performance Based on Interaction Patterns in Behavior. CoRR Bérénice Mettler, Zhaodan Kong
2013	J	`jnl`	Mapping and Analysis of Human Guidance Performance From Trajectory Ensembles. IEEE Trans. Hum. Mach. Syst. Bérénice Mettler, Zhaodan Kong
2013	J	`jnl`	Modeling Human Guidance Behavior Based on Patterns in Agent-Environment Interactions. IEEE Trans. Hum. Mach. Syst. Zhaodan Kong, Bérénice Mettler
2013	J	`jnl`	Optical Flow Sensing and the Inverse Perception Problem for Flying Bats CoRR Zhaodan Kong, Kayhan Özcimder, Nathan W. Fuller, Alison Greco, Diane H. Theriault, Zheng Wu, Thomas H. Kunz, Margrit Betke, John Baillieul
2013	—	`conf`	Optical flow sensing and the inverse perception problem for flying bats. CDC Zhaodan Kong, Kayhan Özcimder, Nathan W. Fuller, Alison Greco, Diane H. Theriault, Zheng Wu, Thomas H. Kunz, Margrit Betke, John Baillieul
2013	J	`jnl`	Perception and Steering Control in Paired Bat Flight. CoRR Zhaodan Kong, Kayhan Özcimder, Nathan W. Fuller, John Baillieul
2013	J	`jnl`	Research Infrastructure for Interactive Human- and Autonomous Guidance. J. Intell. Robotic Syst. Bérénice Mettler, Navid Dadkhah, Zhaodan Kong, Jonathan Andersh
2011	B	`conf`	An investigation of spatial behavior in agile guidance tasks. SMC Zhaodan Kong, Bernard Mettler
2011	J	`jnl`	Evaluation of Guidance Performance in Urban Terrains for Different UAV Types and Performance Criteria Using Spatial CTG Maps. J. Intell. Robotic Syst. Zhaodan Kong, Bernard Mettler
2011	A	`conf`	Foundations of formal language for humans and artificial systems based on intrinsic structure in spatial behavior. IROS Zhaodan Kong, Bernard Mettler
2010	J	`jnl`	A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance. J. Intell. Robotic Syst. C. Goerzen, Zhaodan Kong, Bernard Mettler
2009	—	`conf`	Experimental demonstration of an online trajectory optimization scheme using approximate spatial value functions. CDC Navid Dadkhah, Venkateshwar Rao Korukanti, Zhaodan Kong, Bernard Mettler
2009	—	`conf`	On the general characteristics of 2D optimal obstacle-field guidance solution. CDC Zhaodan Kong, Bernard Mettler
2008	C	`conf`	Receding horizon trajectory optimization with a finite-state value function approximation. ACC Bernard Mettler, Zhaodan Kong