Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems. - Hyung-Jin Yoon; Huaiyu Chen; Kehan Long; Heling Zhang; Aditya Gahlawat; Donghwan Lee; Naira Hovakimyan (CoRR, 2018)

Learning Barrier Functions With Memory for Robust Safe Navigation. - Kehan Long; Cheng Qian; Jorge Cortés 001; Nikolay Atanasov 001 (IEEE Robotics Autom. Lett., 2021)

Integrating Title and Citation Context Semantics of Citing Paper via Weighted Attentions for Local Citation Recommendation. - Kehan Long; Shasha Li 001; Pancheng Wang; Jintao Tang; Ting Wang 009 (IJCNN, 2022)

Safe Control Synthesis With Uncertain Dynamics and Constraints. - Kehan Long; Vikas Dhiman; Melvin Leok; Jorge Cortés 001; Nikolay Atanasov 001 (IEEE Robotics Autom. Lett., 2022)

Safe and Stable Control Synthesis for Uncertain System Models via Distributionally Robust Optimization. - Kehan Long; Yinzhuang Yi; Jorge Cortés 001; Nikolay Atanasov 001 (ACC, 2023)

Distributionally Robust Lyapunov Function Search Under Uncertainty. - Kehan Long; Yinzhuang Yi; Jorge Cortés 001; Nikolay Atanasov 001 (L4DC, 2023)

Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments. - Kehan Long; Khoa Tran; Melvin Leok; Nikolay Atanasov 001 (ACC, 2024)

Stabilization of Nonlinear Systems through Control Barrier Functions. - Pol Mestres; Kehan Long; Melvin Leok; Nikolay Atanasov 001; Jorge Cortés 001 (CDC, 2024)

Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines. - Kehan Long; Shasha Li 001; Pancheng Wang; Chenlong Bao; Jintao Tang; Ting Wang 009 (LREC/COLING, 2024)

FineCSDA: Boosting Document-Level Event Argument Extraction with Fine-Grained Data Augmentation. - Junxiu Chen; Kehan Long; Shasha Li 001; Jintao Tang; Ting Wang 009 (NLPCC (2), 2024)

Evaluating the Fidelity of Image Captioning via Weighted Boolean Question Answering. - Kaixuan Wang; Shasha Li 001; Jintao Tang; Kehan Long; Yongzhu Miao; Fangda Chen; Ting Wang 009 (NLPCC (3), 2024)

Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization. - Pancheng Wang; Shasha Li 001; Dong Li; Kehan Long; Jintao Tang; Ting Wang 009 (SIGIR, 2024)

Distributionally Robust Policy and Lyapunov-Certificate Learning. - Kehan Long; Jorge Cortés 001; Nikolay Atanasov 001 (CoRR, 2024)

Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments. - Kehan Long; Yinzhuang Yi; Zhirui Dai; Sylvia L. Herbert; Jorge Cortés 001; Nikolay Atanasov 001 (CoRR, 2024)

Neural Configuration Distance Function for Continuum Robot Control. - Kehan Long; Hardik Parwana; Georgios Fainekos; Bardh Hoxha; Hideki Okamoto; Nikolay Atanasov 001 (CoRR, 2024)

Feasibility Analysis and Regularity Characterization of Distributionally Robust Safe Stabilizing Controllers. - Pol Mestres; Kehan Long; Nikolay Atanasov 001; Jorge Cortés 001 (IEEE Control. Syst. Lett., 2024)

Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context Information. - Kehan Long; Shasha Li 001; Chen Xu; Jintao Tang; Ting Wang 009 (SIGIR, 2025)

Leveraging multiple control codes for aspect-controllable related paper recommendation. - Kehan Long; Shasha Li 001; Jintao Tang; Ting Wang 009 (Inf. Process. Manag., 2025)

Neural Configuration-Space Barriers for Manipulation Planning and Control. - Kehan Long; Ki Myung Brian Lee; Nikola Raicevic; Niyas Attasseri; Melvin Leok; Nikolay Atanasov 001 (CoRR, 2025)

Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions. - Kehan Long; Jorge Cortés 001; Nikolay Atanasov 001 (CoRR, 2025)

BR-MPPI: Barrier Rate guided MPPI for Enforcing Multiple Inequality Constraints with Learned Signed Distance Field. - Hardik Parwana; Taekyung Kim; Kehan Long; Bardh Hoxha; Hideki Okamoto; Georgios Fainekos; Dimitra Panagou (CoRR, 2025)