Longchao Da

According to our database, Longchao Da authored at least 29 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

FM-LC: A Hierarchical Framework for Urban Flood Mapping by Land Cover Identification Models.

Xin Hong, Longchao Da, Hua Wei

CoRR, July, 2025

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control.

Justin Turnau, Longchao Da, Khoa Vo, Ferdous Al Rafi, Shreyas Bachiraju, Tiejin Chen, Hua Wei

CoRR, July, 2025

DeepShade: Enable Shade Simulation by Text-conditioned Image Generation.

Longchao Da, Xiangrui Liu, Mithun Shivakoti, Thirulogasankar Pranav Kutralingam, Yezhou Yang, Hua Wei

CoRR, July, 2025

GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs.

Longchao Da, Parth Mitesh Shah, Kuanru Liou, Jiaxing Zhang, Hua Wei

CoRR, May, 2025

Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey.

Xiaoou Liu, Tiejin Chen, Longchao Da, Chacha Chen, Zhen Lin, Hua Wei

CoRR, March, 2025

Generative AI in Transportation Planning: A Survey.

Longchao Da, Tiejin Chen, Zhuoheng Li, Shreyas Bachiraju, Huaiyuan Yao, Li Li, Yushun Dong, Xiyang Hu, Zhengzhong Tu, Dongjie Wang, Yue Zhao, Xuanyu Zhou, Ram Pendyala, Benjamin Stabler, Yezhou Yang, Xuesong Zhou, Hua Wei

CoRR, March, 2025

Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology.

Longchao Da, Xiaoou Liu, Jiaxin Dai, Lu Cheng, Yaqing Wang, Hua Wei

CoRR, February, 2025

Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses.

Tiejin Chen, Xiaoou Liu, Longchao Da, Jia Chen, Vagelis Papalexakis, Hua Wei

CoRR, February, 2025

MCQA-Eval: Efficient Confidence Evaluation in NLG with Gold-Standard Correctness Labels.

Xiaoou Liu, Zhen Lin, Longchao Da, Chacha Chen, Shubhendu Trivedi, Hua Wei

CoRR, February, 2025

A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models.

Longchao Da, Justin Turnau, Thirulogasankar Pranav Kutralingam, Alvaro Velasquez, Paulo Shakarian, Hua Wei

CoRR, February, 2025

CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic.

Huaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, Hua Wei

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness.

Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

Reproducible and Low-cost Sim-to-Real Environment for Traffic Signal Control.

Yiran Zhang, Khoa Vo, Longchao Da, Tiejin Chen, Xiaoou Liu, Hua Wei

Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems, 2025

2024

Open-ti: open traffic intelligence with augmented language model.

Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei

Int. J. Mach. Learn. Cybern., October, 2024

Libsignal: an open library for traffic signal control.

Hao Mei, Xiaoliang Lei, Longchao Da, Bin Shi, Hua Wei

Mach. Learn., July, 2024

CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic.

Huaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, Hua Wei

CoRR, 2024

Segment as You Wish - Free-Form Language-Based Segmentation for Medical Images.

Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha A. Kass-Hout, Hua Wei, Cao Xiao

CoRR, 2024

LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation.

Longchao Da, Tiejin Chen, Lu Cheng, Hua Wei

CoRR, 2024

Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks.

Spencer Young, Porter Jenkins, Longchao Da, Jeffrey Dotson, Hua Wei

CoRR, 2024

Privacy-preserving Fine-tuning of Large Language Models through Flatness.

Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei

CoRR, 2024

CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models.

Longchao Da, Chen Chu, Weinan Zhang, Hua Wei

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks.

Jiaxing Zhang, Zhuomin Chen, Hao Mei, Longchao Da, Dongsheng Luo, Hua Wei

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras.

Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi, Arpitsinh Vaghela, Longchao Da, Duo Lu, Yezhou Yang, Hua Wei

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Shaded Route Planning Using Active Segmentation and Identification of Satellite Images.

Longchao Da, Rohan Chhibba, Rushabh Jaiswal, Ariane Middel, Hua Wei

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation.

Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning.

Longchao Da, Minquan Gao, Hao Mei, Hua Wei

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LLM Powered Sim-to-real Transfer for Traffic Signal Control.

Longchao Da, Minchiuan Gao, Hao Mei, Hua Wei

CoRR, 2023

Uncertainty-Aware Grounded Action Transformation Towards Sim-to-Real Transfer for Traffic Signal Control.

Longchao Da, Hao Mei, Romir Sharma, Hua Wei

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Sim2Real Transfer for Traffic Signal Control.

Longchao Da, Hao Mei, Romir Sharma, Hua Wei

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023