Hao (Frank) Yang

According to our database, Hao (Frank) Yang authored at least 42 papers between 2016 and 2025.

Collaborative distances:

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

2025

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding.

Renjie Li, Ruijie Ye, Mingyang Wu, Hao (Frank) Yang, Zhiwen Fan, Hezhen Hu, Zhengzhong Tu

CoRR, July, 2025

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge.

Linshen Liu, Boyan Su, Junyue Jiang, Guanlin Wu, Cong Guo, Ceyu Xu, Hao (Frank) Yang

CoRR, July, 2025

BERT4Traj: Transformer Based Trajectory Reconstruction for Sparse Mobility Data.

Hao (Frank) Yang, Angela Yao, Christopher C. Whalen, Gengchen Mai

CoRR, July, 2025

Advancing real-time infectious disease forecasting using large language models.

Hongru Du, Yang Zhao, Jianan Zhao, Shaochong Xu, Xihong Lin, Yiran Chen, Lauren M. Gardner, Hao (Frank) Yang

Nat. Comput. Sci., June, 2025

Towards Reliable and Interpretable Traffic Crash Pattern Prediction and Safety Interventions Using Customized Large Language Models.

Yang Zhao, Pu Wang, Yibo Zhao, Hongru Du, Hao (Frank) Yang

CoRR, May, 2025

Generative AI for Autonomous Driving: Frontiers and Opportunities.

Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Zhaohan Lu, Chia-Ju Chen, Yue Huang, Ryan A. Rossi, Lichao Sun, Hongkai Yu, Zhiwen Fan, Hao (Frank) Yang, Yuhao Kang, Ross Greer, Chenxi Liu, Eun Hak Lee, Xuan Di, Xinyue Ye, Liu Ren, Alois Knoll, Xiaopeng Li, Shuiwang Ji, Masayoshi Tomizuka, Marco Pavone, Laurence Tianruo Yang, Jing Du, Ming-Hsuan Yang, Hua Wei, Ziran Wang, Yang Zhou, Jiachen Li, Zhengzhong Tu

CoRR, May, 2025

From theory to deep learning: Understanding the impact of geographic context factors on traffic violations.

Hao Yang, Xiaobai Angela Yao, Farnoosh Roozkhosh, Ruowei Liu, Gengchen Mai

Comput. Environ. Urban Syst., 2025

MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning.

Jianyi Zhang, Hao Yang, Ang Li, Xin Guo, Pu Wang, Haiming Wang, Yiran Chen, Hai Li

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models.

Jingyang Zhang, Jingwei Sun, Eric C. Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao (Frank) Yang, Hai Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Prosperity: Accelerating Spiking Neural Networks via Product Sparsity.

Chiyue Wei, Cong Guo, Feng Cheng, Shiyu Li, Hao (Frank) Yang, Hai Helen Li, Yiran Chen

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

BERT4Traj: Transformer-Based Trajectory Reconstruction for Sparse Mobility Data.

Hao Yang, Xiaobai Angela Yao, Christopher C. Whalen, Gengchen Mai

Proceedings of the 13th International Conference on Geographic Information Science, 2025

HumanMM: Global Human Motion Recovery from Multi-shot Videos.

Yuhong Zhang, Guanlin Wu, Ling-Hao Chen, Zhuokai Zhao, Jing Lin, Xiaoke Jiang, Jiamin Wu, Zhuoheng Li, Hao (Frank) Yang, Haoqian Wang, Lei Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Multi-lane's control performance differentiation on traffic efficiency under the lane-level dynamic coordination strategy.

Xin Fu, Xiahe Lv, Hao (Frank) Yang, Xue Wang, Jianwei Wang

J. Intell. Transp. Syst., July, 2024

Data-Driven Traffic Simulation: A Comprehensive Review.

Di Chen, Meixin Zhu, Hao Yang, Xuesong Wang, Yinhai Wang

IEEE Trans. Intell. Veh., April, 2024

Real-Time Multi-Task Environmental Perception System for Traffic Safety Empowered by Edge Artificial Intelligence.

Chenxi Liu, Hao (Frank) Yang, Meixin Zhu, Feilong Wang, Torgeir Vaa, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., January, 2024

A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models.

Cong Guo, Feng Cheng, Zhixu Du, James Kiessling, Jonathan Ku, Shiyu Li, Ziru Li, Mingyuan Ma, Tergel Molom-Ochir, Benjamin Morris, Haoxuan Shan, Jingwei Sun, Yitu Wang, Chiyue Wei, Xueying Wu, Yuhao Wu, Hao (Frank) Yang, Jingyang Zhang, Junyao Zhang, Qilin Zheng, Guanglei Zhou, Hai Li, Yiran Chen

CoRR, 2024

MetaFollower: Adaptable Personalized Autonomous Car Following.

Xianda Chen, Kehua Chen, Meixin Zhu, Hao Yang, Shaojie Shen, Xuesong Wang, Yinhai Wang

CoRR, 2024

Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses.

Zhiwen Fan, Pu Wang, Yang Zhao, Yibo Zhao, Boris Ivanovic, Zhangyang Wang, Marco Pavone, Hao (Frank) Yang

CoRR, 2024

Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study.

Hongru Du, Jianan Zhao, Yang Zhao, Shaochong Xu, Xihong Lin, Yiran Chen, Lauren M. Gardner, Hao (Frank) Yang

CoRR, 2024

Towards Responsible and Reliable Traffic Flow Prediction with Large Language Models.

Xusen Guo, Qiming Zhang, Junyue Jiang, Mingxing Peng, Hao Yang, Meixin Zhu

CoRR, 2024

Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models.

Jingyang Zhang, Jingwei Sun, Eric C. Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao Yang, Hai Helen Li

CoRR, 2024

LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models.

Mingxing Peng, Xusen Guo, Xianda Chen, Meixin Zhu, Kehua Chen, Hao Yang, Xuesong Wang, Yinhai Wang

CoRR, 2024

Mitigating Bias of Deep Neural Networks for Trustworthy Traffic Perception in Autonomous Systems.

Hao (Frank) Yang, Yang Zhao, Jiarui Cai, Meixin Zhu, Jenq-Neng Hwang, Yiran Chen

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Cost-effective Vehicle Recognition System in Challenging Environment Empowered by Micro-Pulse LiDAR and Edge AI.

Junyue Jiang, Hongliang Lu, Chenxi Liu, Meixin Zhu, Yiran Chen, Hao (Frank) Yang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery.

Matthew Inkawhich, Nathan Inkawhich, Hao Yang, Jingyang Zhang, Randolph Linderman, Yiran Chen

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Integrating the traffic science with representation learning for city-wide network congestion prediction.

Wenqing Zheng, Hao (Frank) Yang, Jiarui Cai, Peihao Wang, Xuan Jiang, Simon Shaolei Du, Yinhai Wang, Zhangyang Wang

Inf. Fusion, November, 2023

Lightweight Edge Intelligence Empowered Near-Crash Detection Towards Real-Time Vehicle Event Logging.

Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Hao (Frank) Yang, Yifan Zhuang, Yinhai Wang

IEEE Trans. Intell. Veh., April, 2023

On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications.

Chenjiao Tan, Qian Cao, Yiwei Li, Jielu Zhang, Xiao Yang, Huaqin Zhao, Zihao Wu, Zhengliang Liu, Hao Yang, Nemin Wu, Tao Tang, Xinyue Ye, Lilong Chai, Ninghao Liu, Changying Li, Lan Mu, Tianming Liu, Gengchen Mai

CoRR, 2023

2022

Truck Parking Pattern Aggregation and Availability Prediction by Deep Learning.

Hao Yang, Chenxi Liu, Yifan Zhuang, Wei Sun, Karthik Murthy, Ziyuan Pu, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2022

How Fast You Will Drive? Predicting Speed of Customized Paths By Deep Neural Network.

Hao Yang, Chenxi Liu, Meixin Zhu, Xuegang Ban, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2022

Traffic-Informed Multi-Camera Sensing (TIMS) System Based on Vehicle Re-Identification.

Hao Yang, Jiarui Cai, Meixin Zhu, Chenxi Liu, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2022

Toward a Dynamic Reversible Lane Management Strategy by Empowering Learning-Based Predictive Assignment Scheme.

Chenxi Liu, Hao (Frank) Yang, Ruimin Ke, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2022

Edge-Artificial Intelligence-Powered Parking Surveillance With Quantized Neural Networks.

Yifan Zhuang, Ziyuan Pu, Hao Yang, Yinhai Wang

IEEE Intell. Transp. Syst. Mag., 2022

Toward a real-time Smart Parking Data Management and Prediction (SPDMP) system by attributes representation learning.

Hao (Frank) Yang, Ruimin Ke, Zhiyong Cui, Yinhai Wang, Karthik Murthy

Int. J. Intell. Syst., 2022

Traffic-Twitter Transformer: A Nature Language Processing-joined Framework For Network-wide Traffic Forecasting.

Meng-Ju Tsai, Zhiyong Cui, Hao (Frank) Yang, Yinhai Wang

CoRR, 2022

TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer.

Meixin Zhu, Simon S. Du, Xuesong Wang, Hao (Frank) Yang, Ziyuan Pu, Yinhai Wang

CoRR, 2022

An Incremental Learning-based Framework for Non-stationary Traffic Representations Clustering and Forecasting.

Meng-Ju Tsai, Zhiyong Cui, Chenxi Liu, Hao Yang, Yinhai Wang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems.

Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Personalized Context-Aware Multi-Modal Transportation Recommendation.

Meixin Zhu, Jingyun Hu, Hao (Frank) Yang, Ziyuan Pu, Yinhai Wang

CoRR, 2019

Multi-View Vehicle Re-Identification using Temporal Attention Model and Metadata Re-ranking.

Tsung-Wei Huang, Jiarui Cai, Hao Yang, Hung-Min Hsu, Jenq-Neng Hwang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2017

WLAN interference self-optimization using som neural networks.

Haipeng Yao, Hao Yang, Anqi Zhang, Chao Fang, Yiru Guo

Concurr. Comput. Pract. Exp., 2017

2016

A Survey of Collaborative Filtering Algorithms for Social Recommender Systems.

Yingtong Dou, Hao Yang, Xiaolong Deng

Proceedings of the 12th International Conference on Semantics, Knowledge and Grids, 2016