Hua Wei

Evangelos E. Papalexakis

Jia Chen

CoRR, April, 2026

Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition.

[BibT_eX]

[DOI]

Huaiyuan Yao

Jia Chen

Evangelos E. Papalexakis

Thirulogasankar Pranav Kutralingam

CoRR, April, 2026

LangMARL: Natural Language Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, April, 2026

RULERS: Locked Rubrics and Evidence-Anchored Scoring for Robust LLM Evaluation.

[BibT_eX]

[DOI]

CoRR, January, 2026

Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models.

[BibT_eX]

[DOI]

Zheng Luo

CoRR, January, 2026

Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design.

[BibT_eX]

[DOI]

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models.

[BibT_eX]

[DOI]

Kaishen Wang

Thirulogasankar Pranav Kutralingam

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Survey on Multi-agent Reinforcement Learning for Adaptive Transportation Solutions.

[BibT_eX]

[DOI]

SN Comput. Sci., December, 2025

Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape.

[BibT_eX]

[DOI]

SIGKDD Explor., December, 2025

Management Actions Enhanced Traffic Prediction Under Sparse Data.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., November, 2025

MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, August, 2025

Instructional Agents: LLM Agents on Automated Course Material Generation for Teaching Faculties.

[BibT_eX]

[DOI]

CoRR, August, 2025

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

[BibT_eX]

[DOI]

CoRR, July, 2025

Generative AI for Autonomous Driving: Frontiers and Opportunities.

[BibT_eX]

[DOI]

Laurence Tianruo Yang

CoRR, May, 2025

TED: related party transaction guided tax evasion detection on heterogeneous graph.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., March, 2025

Generative AI in Transportation Planning: A Survey.

[BibT_eX]

[DOI]

CoRR, March, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

Longchao Da

Justin Turnau

Alvaro Velasquez

Paulo Shakarian

CoRR, February, 2025

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

[BibT_eX]

[DOI]

Xin Hong

Longchao Da

IEEE Geosci. Remote. Sens. Lett., 2025

The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

4th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM).

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

FlanS: A Foundation Model for Free-Form Language-based Segmentation in Medical Images.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

MC-BEVRO: Multi-Camera Bird Eye View Road Occupancy Detection for Traffic Monitoring.

[BibT_eX]

[DOI]

Arpitsinh Vaghela

Duo Lu

Aayush Atul Verma

Thirulogasankar Pranav Kutralingam

Yezhou Yang

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Adaptive Traffic Steering in Open RAN: Integrating Rule-Based Policies with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2025, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

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

[BibT_eX]

[DOI]

Longchao Da

Xiangrui Liu

Mithun Shivakoti

Yezhou Yang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Fully Heteroscedastic Count Regression with Deep Double Poisson Networks.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

[BibT_eX]

[DOI]

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

Uncertainty Quantification for Physics-Informed Traffic Graph Networks.

[BibT_eX]

[DOI]

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

cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending.

[BibT_eX]

[DOI]

Anirudh Satheesh

Keenan Powell

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Vision Language Model Helps Private Information De-Identification in Vision Data.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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

[BibT_eX]

[DOI]

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

Libsignal: an open library for traffic signal control.

[BibT_eX]

[DOI]

Mach. Learn., July, 2024

Political-LLM: Large Language Models in Political Science.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

GUS-Net: Social Bias Classification in Text with Generalizations, Unfairness, and Stereotypes.

[BibT_eX]

[DOI]

Maximus Powers

Umang Mavani

Harshitha Reddy Jonala

Ansh Tiwari

CoRR, 2024

LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation.

[BibT_eX]

[DOI]

CoRR, 2024

GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks.

[BibT_eX]

[DOI]

CoRR, 2024

SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception.

[BibT_eX]

[DOI]

Manideep Reddy Aliminati

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework.

[BibT_eX]

[DOI]

CoRR, 2024

Interpreting Graph Neural Networks with In-Distributed Proxies.

[BibT_eX]

[DOI]

CoRR, 2024

When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

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

Spatial-Temporal PDE Networks for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Metacognitive AI: Framework and the Case for a Neurosymbolic Approach.

[BibT_eX]

[DOI]

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

[BibT_eX]

[DOI]

Prithvi Shirke

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

X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

eTraM: Event-Based Traffic Monitoring Dataset.

[BibT_eX]

[DOI]

Aayush Atul Verma

Arpitsinh Vaghela

Dimitrios M. Vlachogiannis

Yezhou Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AdaTrans: Adaptive Transfer Time Prediction for Multi-modal Transportation Modes.

[BibT_eX]

[DOI]

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

MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Uncertainty Regularized Evidential Regression.

[BibT_eX]

[DOI]

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

The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution.

[BibT_eX]

[DOI]

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

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Safety in Traffic Management Systems: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control.

[BibT_eX]

[DOI]

Scott Moura

Jane MacFarlane

CoRR, 2023

FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Learning to Calibrate Hybrid Hyperparameters: a Study on Traffic Simulation.

[BibT_eX]

[DOI]

Wanpeng Xu

Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2023

MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation.

[BibT_eX]

[DOI]

Jiaxing Zhang

Dongsheng Luo

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Reinforcement Learning Approaches for Traffic Signal Control under Missing Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Uncertainty-aware Traffic Prediction under Missing Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Rethinking Sentiment Analysis under Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Toward Efficient Traffic Signal Control: Smaller Network Can Do More.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Sim2Real Transfer for Traffic Signal Control.

[BibT_eX]

[DOI]

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

SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Smartworld, 2022

Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Modeling Network-level Traffic Flow Transitions on Sparse Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

The Third Workshop on Data-driven Intelligent Transportation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Bayesian Model-Based Offline Reinforcement Learning for Product Allocation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Adversarial Policy Training against Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th USENIX Security Symposium, 2021

Knowledge-based Residual Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Boosting Offline Reinforcement Learning with Residual Generative Modeling.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Rebuilding City-Wide Traffic Origin Destination from Road Speed Data.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Probabilistic simulation of spatial demand for intelligent product allocation.

[BibT_eX]

[DOI]

Proceedings of the GeoSim@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, 2021

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

How Do We Move: Modeling Human Movement with System Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation.

[BibT_eX]

[DOI]

SIGKDD Explor., 2020

Learning to Simulate Human Movement.

[BibT_eX]

[DOI]