Yiwei Lyu

Orcid: 0009-0007-0136-5369

According to our database1, Yiwei Lyu authored at least 37 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Step-Calibrated Diffusion for Biomedical Optical Image Restoration.
CoRR, 2024

A self-supervised framework for learning whole slide representations.
CoRR, 2024

Reliable Interactive Autonomy for Multi-Agent Systems.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
MultiZoo and MultiBench: A Standardized Toolkit for Multimodal Deep Learning.
J. Mach. Learn. Res., 2023

Code Models are Zero-shot Precondition Reasoners.
CoRR, 2023

MultiZoo & MultiBench: A Standardized Toolkit for Multimodal Deep Learning.
CoRR, 2023

Fine-grained Text Style Transfer with Diffusion-Based Language Models.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Risk-Aware Safe Control for Decentralized Multi-Agent Systems via Dynamic Responsibility Allocation.
IROS, 2023

Minimally Constrained Multi-Robot Coordination with Line-of-Sight Connectivity Maintenance.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Active Probing and Influencing Human Behaviors Via Autonomous Agents.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Reinforcement Learning with Probabilistically Safe Control Barrier Functions for Ramp Merging.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

MultiViz: Towards Visualizing and Understanding Multimodal Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

TOD-Flow: Modeling the Structure of Task-Oriented Dialogues.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MultiViz: Towards User-Centric Visualizations and Interpretations of Multimodal Models.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Minimally Constraining Line-of-Sight Connectivity Maintenance for Collision-free Multi-Robot Networks under Uncertainty.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Model-based Dynamic Shielding for Safe and Efficient Multi-agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Decentralized Safe Navigation for Multi-agent Systems via Risk-aware Weighted Buffered Voronoi Cells.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

CBF-inspired Weighted Buffered Voronoi Cells for Distributed Multi-agent Collision Avoidance.
Proceedings of the American Control Conference, 2023

Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Tackling Safe and Efficient Multi-Agent Reinforcement Learning via Dynamic Shielding (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Risk-Aware Decentralized Safe Control via Dynamic Responsibility Allocation (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Safe Interactive Autonomy for Multi-Agent Systems.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging.
CoRR, 2022

MultiViz: An Analysis Benchmark for Visualizing and Understanding Multimodal Models.
CoRR, 2022

HighMMT: Towards Modality and Task Generalization for High-Modality Representation Learning.
CoRR, 2022

Adaptive Safe Merging Control for Heterogeneous Autonomous Vehicles using Parametric Control Barrier Functions.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Provable Probabilistic Safety and Feasibility-Assured Control for Autonomous Vehicles using Exponential Control Barrier Functions.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Responsibility-associated Multi-agent Collision Avoidance with Social Preferences.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

Adaptive Safe Behavior Generation for Heterogeneous Autonomous Vehicles Using Parametric-Control Barrier Functions (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Probabilistic Safety-Assured Adaptive Merging Control for Autonomous Vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
FG-GMM-based Interactive Behavior Estimation for Autonomous Driving Vehicles in Ramp Merging Control <sup>*</sup>.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
The State and Future of Genetic Improvement.
ACM SIGSOFT Softw. Eng. Notes, 2019

Leveraging program invariants to promote population diversity in search-based automatic program repair.
Proceedings of the 6th International Workshop on Genetic Improvement, 2019

2018
Design and Control of A Hybrid Sailboat for Enhanced Tacking Maneuver.
CoRR, 2018


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