Minglu Zhao

According to our database, Minglu Zhao authored at least 23 papers between 2020 and 2025.

Collaborative distances:

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

2025

Scalable Language Models with Posterior Inference of Latent Thought Vectors.

Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu

CoRR, February, 2025

TIA2V: Video generation conditioned on triple modalities of text-image-audio.

Minglu Zhao, Wenmin Wang, Rui Zhang, Haomei Jia, Qi Chen

Expert Syst. Appl., 2025

DS&STM-Net: A novel hybrid network of feature mutual fusion for medical image segmentation.

Qi Chen, Wenmin Wang, Zhibing Wang, Haomei Jia, Minglu Zhao

Biomed. Signal Process. Control., 2025

2024

TA2V: Text-Audio Guided Video Generation.

Minglu Zhao, Wenmin Wang, Tongbao Chen, Rui Zhang, Ruochen Li

IEEE Trans. Multim., 2024

Ultrahigh-definition video quality assessment: A new dataset and benchmark.

Ruochen Li, Wenmin Wang, Huanqiang Hu, Tongbao Chen, Minglu Zhao

Neurocomputing, 2024

SgLFT: Semantic-guided Late Fusion Transformer for video corpus moment retrieval.

Tongbao Chen, Wenmin Wang, Minglu Zhao, Ruochen Li, Zhe Jiang, Cheng Yu

Neurocomputing, 2024

A minimalistic representation model for head direction system.

Minglu Zhao, Dehong Xu, Deqian Kong, Wenhao Zhang, Ying Nian Wu

CoRR, 2024

Inverse Attention Agent for Multi-Agent System.

Qian Long, Ruoyan Li, Minglu Zhao, Tao Gao, Demetri Terzopoulos

CoRR, 2024

From Cognition to Computation: A Comparative Review of Human Attention and Transformer Architectures.

Minglu Zhao, Dehong Xu, Tao Gao

CoRR, 2024

Latent Plan Transformer: Planning as Latent Variable Inference.

Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu

CoRR, 2024

Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference.

Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu

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

Inverse Reinforcement Learning with Failed Demonstrations towards Stable Driving Behavior Modeling.

Minglu Zhao, Masamichi Shimosaka

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2022

Sharing Rewards Undermines Coordinated Hunting.

Minglu Zhao, Ning Tang, Annya L. Dahmani, Yixin Zhu, Federico Rossano, Tao Gao

J. Comput. Biol., 2022

Automated selection of build configuration based on machine learning.

Reo Furuhata, Minglu Zhao, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Exploring an Imagined "We" in Human Collective Hunting: Joint Commitment within Shared Intentionality.

Ning Tang, Siyi Gong, Minglu Zhao, Chenya Gu, Jifan Zhou, Mowei Shen, Tao Gao

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Intentional commitment through an internalized theory of mind: Acting in the eyes of an imagined observer.

Shaozhe Cheng, Minglu Zhao, Jingyin Zhu, Jifan Zhou, Mowei Shen, Tao Gao

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Spatiotemporal Anomaly Detection for Large-Scale Sensor Data.

Minglu Zhao, Hiroyuki Takizawa, Tomoya Soma

Proceedings of the 12th International Symposium on Parallel Architectures, 2021

Sharing is not Needed: Modeling Animal Coordinated Hunting with Reinforcement Learning.

Minglu Zhao, Ning Tang, Annya L. Dahmani, Ross Richard Perry, Yixin Zhu, Federico Rossano, Tao Gao

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Modeling Communication to Coordinate Perspectives in Cooperation.

Stephanie Stacy, Chenfei Li, Minglu Zhao, Yiling Yun, Qingyi Zhao, Max Kleiman-Weiner, Tao Gao

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Improving the Accuracy in SpMV Implementation Selection with Machine Learning.

Reo Furuhata, Minglu Zhao, Mulya Agung, Ryusuke Egawa, Hiroyuki Takizawa

Proceedings of the Eighth International Symposium on Computing and Networking Workshops, 2020

Bootstrapping an Imagined We for Cooperation.

Ning Tang, Stephanie Stacy, Minglu Zhao, Gabriel Marquez, Tao Gao

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Intuitive Signaling Through an "Imagined We'".

Stephanie Stacy, Qingyi Zhao, Minglu Zhao, Max Kleiman-Weiner, Tao Gao

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Failure Prediction in Datacenters Using Unsupervised Multimodal Anomaly Detection.

Minglu Zhao, Reo Furuhata, Mulya Agung, Hiroyuki Takizawa, Tomoya Soma

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020