Design and Control of A Hybrid Sailboat for Enhanced Tacking Maneuver. - Ziran Zhang; Yiwei Lyu; Fahad Raza; Huihuan Qian (CoRR, 2018)

Leveraging program invariants to promote population diversity in search-based automatic program repair. - Zhen Yu Ding; Yiwei Lyu; Christopher Steven Timperley; Claire Le Goues (GI@ICSE, 2019)

The State and Future of Genetic Improvement. - William B. Langdon; Westley Weimer; Christopher Steven Timperley; Oliver Krauss; Zhen Yu Ding; Yiwei Lyu; Nicolas Chausseau; Eric M. Schulte; Shin Hwei Tan; Kevin Leach; Yu Huang 015; Gabin An (ACM SIGSOFT Softw. Eng. Notes, 2019)

FG-GMM-based Interactive Behavior Estimation for Autonomous Driving Vehicles in Ramp Merging Control *. - Yiwei Lyu; Chiyu Dong; John M. Dolan (ICRA, 2020)

Probabilistic Safety-Assured Adaptive Merging Control for Autonomous Vehicles. - Yiwei Lyu; Wenhao Luo; John M. Dolan (ICRA, 2021)

StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer. - Yiwei Lyu; Paul Pu Liang; Hai Pham; Eduard H. Hovy; Barnabás Póczos; Ruslan Salakhutdinov; Louis-Philippe Morency (NAACL-HLT, 2021)

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning. - Paul Pu Liang; Yiwei Lyu; Xiang Fan; Zetian Wu; Yun Cheng; Jason Wu 001; Leslie Chen; Peter Wu; Michelle A. Lee; Yuke Zhu; Ruslan Salakhutdinov; Louis-Philippe Morency (NeurIPS Datasets and Benchmarks, 2021)

Adaptive Safe Behavior Generation for Heterogeneous Autonomous Vehicles Using Parametric-Control Barrier Functions (Student Abstract). - Yiwei Lyu; Wenhao Luo; John M. Dolan (AAAI, 2022)

DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations. - Yiwei Lyu; Paul Pu Liang; Zihao Deng; Ruslan Salakhutdinov; Louis-Philippe Morency (AIES, 2022)

Responsibility-associated Multi-agent Collision Avoidance with Social Preferences. - Yiwei Lyu; Wenhao Luo; John M. Dolan (ITSC, 2022)

Provable Probabilistic Safety and Feasibility-Assured Control for Autonomous Vehicles using Exponential Control Barrier Functions. - Spencer Van Koevering; Yiwei Lyu; Wenhao Luo; John M. Dolan (IV, 2022)

Adaptive Safe Merging Control for Heterogeneous Autonomous Vehicles using Parametric Control Barrier Functions. - Yiwei Lyu; Wenhao Luo; John M. Dolan (IV, 2022)

HighMMT: Towards Modality and Task Generalization for High-Modality Representation Learning. - Paul Pu Liang; Yiwei Lyu; Xiang Fan; Shentong Mo; Dani Yogatama; Louis-Philippe Morency; Ruslan Salakhutdinov (CoRR, 2022)

MultiViz: An Analysis Benchmark for Visualizing and Understanding Multimodal Models. - Paul Pu Liang; Yiwei Lyu; Gunjan Chhablani; Nihal Jain; Zihao Deng; Xingbo Wang 001; Louis-Philippe Morency; Ruslan Salakhutdinov (CoRR, 2022)

Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging. - Soumith Udatha; Yiwei Lyu; John M. Dolan (CoRR, 2022)

Safe Interactive Autonomy for Multi-Agent Systems. - Yiwei Lyu (AAAI, 2023)

Risk-Aware Decentralized Safe Control via Dynamic Responsibility Allocation (Student Abstract). - Yiwei Lyu; Wenhao Luo; John M. Dolan (AAAI, 2023)

Tackling Safe and Efficient Multi-Agent Reinforcement Learning via Dynamic Shielding (Student Abstract). - Wenli Xiao; Yiwei Lyu; John M. Dolan (AAAI, 2023)

Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control. - Xiang Fan; Yiwei Lyu; Paul Pu Liang; Ruslan Salakhutdinov; Louis-Philippe Morency (ACL (Findings), 2023)

CBF-inspired Weighted Buffered Voronoi Cells for Distributed Multi-agent Collision Avoidance. - Yiwei Lyu; John M. Dolan; Wenhao Luo (ACC, 2023)

Decentralized Safe Navigation for Multi-agent Systems via Risk-aware Weighted Buffered Voronoi Cells. - Yiwei Lyu; John M. Dolan; Wenhao Luo (AAMAS, 2023)

Model-based Dynamic Shielding for Safe and Efficient Multi-agent Reinforcement Learning. - Wenli Xiao; Yiwei Lyu; John M. Dolan (AAMAS, 2023)

Minimally Constraining Line-of-Sight Connectivity Maintenance for Collision-free Multi-Robot Networks under Uncertainty. - Yupeng Yang; Yiwei Lyu; Wenhao Luo (AAMAS, 2023)

MultiViz: Towards User-Centric Visualizations and Interpretations of Multimodal Models. - Paul Pu Liang; Yiwei Lyu; Gunjan Chhablani; Nihal Jain; Zihao Deng; Xingbo Wang 001; Louis-Philippe Morency; Ruslan Salakhutdinov (CHI Extended Abstracts, 2023)

TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. - Sungryull Sohn; Yiwei Lyu; Anthony Z. Liu; Lajanugen Logeswaran; Dong-Ki Kim; Dongsub Shim; Honglak Lee (EMNLP, 2023)

MultiViz: Towards Visualizing and Understanding Multimodal Models. - Paul Pu Liang; Yiwei Lyu; Gunjan Chhablani; Nihal Jain; Zihao Deng; Xingbo Wang 001; Louis-Philippe Morency; Ruslan Salakhutdinov (ICLR, 2023)

Reinforcement Learning with Probabilistically Safe Control Barrier Functions for Ramp Merging. - Soumith Udatha; Yiwei Lyu; John M. Dolan (ICRA, 2023)

Active Probing and Influencing Human Behaviors Via Autonomous Agents. - Shuangge Wang; Yiwei Lyu; John M. Dolan (ICRA, 2023)

Minimally Constrained Multi-Robot Coordination with Line-of-Sight Connectivity Maintenance. - Yupeng Yang; Yiwei Lyu; Wenhao Luo (ICRA, 2023)

Risk-Aware Safe Control for Decentralized Multi-Agent Systems via Dynamic Responsibility Allocation. - Yiwei Lyu; Wenhao Luo; John M. Dolan (IROS, 2023)

Fine-grained Text Style Transfer with Diffusion-Based Language Models. - Yiwei Lyu; Tiange Luo; Jiacheng Shi; Todd C. Hollon; Honglak Lee (RepL4NLP@ACL, 2023)

MultiZoo & MultiBench: A Standardized Toolkit for Multimodal Deep Learning. - Paul Pu Liang; Yiwei Lyu; Xiang Fan; Arav Agarwal; Yun Cheng; Louis-Philippe Morency; Ruslan Salakhutdinov (CoRR, 2023)

MultiZoo and MultiBench: A Standardized Toolkit for Multimodal Deep Learning. - Paul Pu Liang; Yiwei Lyu; Xiang Fan; Arav Agarwal; Yun Cheng; Louis-Philippe Morency; Ruslan Salakhutdinov (J. Mach. Learn. Res., 2023)

High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning. - Paul Pu Liang; Yiwei Lyu; Xiang Fan; Jeffrey Tsaw; Yudong Liu; Shentong Mo; Dani Yogatama; Louis-Philippe Morency; Russ Salakhutdinov (Trans. Mach. Learn. Res., 2023)

Risk-based Socially-Compliant Behavior Planning for Autonomous Driving. - Yiwei Lyu; Wenhao Luo; John M. Dolan (ACC, 2024)

Interactive Control and Decision-Making for Multi-Robots Systems. - Yiwei Lyu (AAMAS, 2024)

Super-resolution of biomedical volumes with 2D supervision. - Cheng Jiang 003; Alexander Gedeon; Yiwei Lyu; Eric Landgraf; Yufeng Zhang; Xinhai Hou; Akhil Kondepudi; Asadur Chowdury; Honglak Lee; Todd C. Hollon (CVPR Workshops, 2024)

Reliable Interactive Autonomy for Multi-Agent Systems. - Yiwei Lyu (HRI (Companion), 2024)

Hierarchical Learned Risk-Aware Planning Framework for Human Driving Modeling. - Nathan Ludlow; Yiwei Lyu; John M. Dolan (ICRA, 2024)

Integrating Online Learning and Connectivity Maintenance for Communication-Aware Multi-Robot Coordination. - Yupeng Yang; Yiwei Lyu; Yanze Zhang; Ian Gao; Wenhao Luo (IROS, 2024)

Courteous MPC for Autonomous Driving with CBF-Inspired Risk Assessment. - Yanze Zhang; Yiwei Lyu; Sude E. Demir; Xingyu Zhou; Yupeng Yang; Junmin Wang; Wenhao Luo (ITSC, 2024)

Code Models are Zero-shot Precondition Reasoners. - Lajanugen Logeswaran; Sungryull Sohn; Yiwei Lyu; Anthony Z. Liu; Dong-Ki Kim; Dongsub Shim; Moontae Lee; Honglak Lee (NAACL-HLT, 2024)

Decentralized Multi-Robot Line-of-Sight Connectivity Maintenance under Uncertainty. - Yupeng Yang; Yiwei Lyu; Yanze Zhang; Sha Yi; Wenhao Luo (Robotics: Science and Systems, 2024)

A self-supervised framework for learning whole slide representations. - Xinhai Hou; Cheng Jiang 003; Akhil Kondepudi; Yiwei Lyu; Asadur Zaman Chowdury; Honglak Lee; Todd C. Hollon (CoRR, 2024)

Step-Calibrated Diffusion for Biomedical Optical Image Restoration. - Yiwei Lyu; Sung Jik Cha; Cheng Jiang 003; Asadur Zaman Chowdury; Xinhai Hou; Edward S. Harake; Akhil Kondepudi; Christian W. Freudiger; Honglak Lee; Todd C. Hollon (AAAI, 2025)

Adaptive Deadlock Avoidance for Decentralized Multi-agent Systems via CBF-inspired Risk Measurement. - Yanze Zhang; Yiwei Lyu; Siwon Jo; Yupeng Yang; Wenhao Luo (CoRR, 2025)

Towards Scalable Language-Image Pre-training for 3D Medical Imaging. - Chenhui Zhao; Yiwei Lyu; Asadur Chowdury; Edward S. Harake; Akhil Kondepudi; Akshay Rao; Xinhai Hou; Honglak Lee; Todd C. Hollon (CoRR, 2025)

Intelligent Histology for Tumor Neurosurgery. - Xinhai Hou; Akhil Kondepudi; Cheng Jiang 003; Yiwei Lyu; Edward S. Harake; Asadur Chowdury; Anna-Katharina Meißner; Volker Neuschmelting; David Reinecke; Gina Furtjes; Georg Widhalm; Lisa Irina Koerner; et al. (CoRR, 2025)