Minglu Zhao

32 papers A* 3B 7C 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Inference-Time Rethinking with Latent Thought Vectors for Math Reasoning.
CoRR
Deqian Kong, Minglu Zhao, Aoyang Qin, Bo Pang, Chenxin Tao, David Hartmann, Edouardo Honig, Dehong Xu, Amit Kumar, Matthew Sarte, Chuan Li, Jianwen Xie, Ying Nian Wu
2025 B conf
A minimalistic representation model for head direction system.
CogSci
Minglu Zhao, Dehong Xu, Deqian Kong, Wenhao Zhang, Yingnian Wu
2025 — conf
Continuous Inverse Reinforcement Learning with State-wise Safety Constraints for Stable Driving Behavior Prediction.
ITSC
Minglu Zhao, Masamichi Shimosaka
2025 J jnl
DS&STM-Net: A novel hybrid network of feature mutual fusion for medical image segmentation.
Biomed. Signal Process. Control.
Qi Chen, Wenmin Wang, Zhibing Wang, Haomei Jia, Minglu Zhao
2025 A* conf
Inverse Attention Agents for Multi-Agent Systems.
ICLR
Qian Long, Ruoyan Li, Minglu Zhao, Tao Gao, Demetri Terzopoulos
2025 J jnl
Latent Adaptive Planner for Dynamic Manipulation.
CoRR
Donghun Noh, Deqian Kong, Minglu Zhao, Andrew Lizarraga, Jianwen Xie, Ying Nian Wu, Dennis W. Hong
2025 A* conf
Latent Thought Models with Variational Bayes Inference-Time Computation.
ICML
Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu
2025 J jnl
Place Cells as Position Embeddings of Multi-Time Random Walk Transition Kernels for Path Planning.
CoRR
Minglu Zhao, Dehong Xu, Deqian Kong, Wenhao Zhang, Ying Nian Wu
2025 J jnl
Scalable Language Models with Posterior Inference of Latent Thought Vectors.
CoRR
Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu
2025 J jnl
Stable Inverse Reinforcement Learning via Leveraged Guided Motion Planner for Driving Behavior Prediction.
IEEE Access
Minglu Zhao, Masamichi Shimosaka
2025 J jnl
TIA2V: Video generation conditioned on triple modalities of text-image-audio.
Expert Syst. Appl.
Minglu Zhao, Wenmin Wang, Rui Zhang, Haomei Jia, Qi Chen
2024 J jnl
A minimalistic representation model for head direction system.
CoRR
Minglu Zhao, Dehong Xu, Deqian Kong, Wenhao Zhang, Ying Nian Wu
2024 J jnl
From Cognition to Computation: A Comparative Review of Human Attention and Transformer Architectures.
CoRR
Minglu Zhao, Dehong Xu, Tao Gao
2024 J jnl
Inverse Attention Agent for Multi-Agent System.
CoRR
Qian Long, Ruoyan Li, Minglu Zhao, Tao Gao, Demetri Terzopoulos
2024 C conf
Inverse Reinforcement Learning with Failed Demonstrations towards Stable Driving Behavior Modeling.
IV
Minglu Zhao, Masamichi Shimosaka
2024 A* conf
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference.
NeurIPS
Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
2024 J jnl
Latent Plan Transformer: Planning as Latent Variable Inference.
CoRR
Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
2024 J jnl
SgLFT: Semantic-guided Late Fusion Transformer for video corpus moment retrieval.
Neurocomputing
Tongbao Chen, Wenmin Wang, Minglu Zhao, Ruochen Li, Zhe Jiang, Cheng Yu
2024 J jnl
TA2V: Text-Audio Guided Video Generation.
IEEE Trans. Multim.
Minglu Zhao, Wenmin Wang, Tongbao Chen, Rui Zhang, Ruochen Li
2024 J jnl
Ultrahigh-definition video quality assessment: A new dataset and benchmark.
Neurocomputing
Ruochen Li, Wenmin Wang, Huanqiang Hu, Tongbao Chen, Minglu Zhao
2022 — conf
Automated selection of build configuration based on machine learning.
IPDPS Workshops
Reo Furuhata, Minglu Zhao, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
2022 B conf
Exploring an Imagined "We" in Human Collective Hunting: Joint Commitment within Shared Intentionality.
CogSci
Ning Tang, Siyi Gong, Minglu Zhao, Chenya Gu, Jifan Zhou, Mowei Shen, Tao Gao
2022 B conf
Intentional commitment through an internalized theory of mind: Acting in the eyes of an imagined observer.
CogSci
Shaozhe Cheng, Minglu Zhao, Jingyin Zhu, Jifan Zhou, Mowei Shen, Tao Gao
2022 J jnl
Sharing Rewards Undermines Coordinated Hunting.
J. Comput. Biol.
Minglu Zhao, Ning Tang, Annya L. Dahmani, Yixin Zhu, Federico Rossano, Tao Gao
2021 B conf
Modeling Communication to Coordinate Perspectives in Cooperation.
CogSci
Stephanie Stacy, Chenfei Li, Minglu Zhao, Yiling Yun, Qingyi Zhao, Max Kleiman-Weiner, Tao Gao
2021 J jnl
Modeling Communication to Coordinate Perspectives in Cooperation.
CoRR
Stephanie Stacy, Chenfei Li, Minglu Zhao, Yiling Yun, Qingyi Zhao, Max Kleiman-Weiner, Tao Gao
2021 B conf
Sharing is not Needed: Modeling Animal Coordinated Hunting with Reinforcement Learning.
CogSci
Minglu Zhao, Ning Tang, Annya L. Dahmani, Ross Richard Perry, Yixin Zhu, Federico Rossano, Tao Gao
2021 — conf
Spatiotemporal Anomaly Detection for Large-Scale Sensor Data.
PAAP
Minglu Zhao, Hiroyuki Takizawa, Tomoya Soma
2020 B conf
Bootstrapping an Imagined We for Cooperation.
CogSci
Ning Tang, Stephanie Stacy, Minglu Zhao, Gabriel Marquez, Tao Gao
2020 — conf
Failure Prediction in Datacenters Using Unsupervised Multimodal Anomaly Detection.
IEEE BigData
Minglu Zhao, Reo Furuhata, Mulya Agung, Hiroyuki Takizawa, Tomoya Soma
2020 — conf
Improving the Accuracy in SpMV Implementation Selection with Machine Learning.
CANDAR (Workshops)
Reo Furuhata, Minglu Zhao, Mulya Agung, Ryusuke Egawa, Hiroyuki Takizawa
2020 B conf
Intuitive Signaling Through an "Imagined We'".
CogSci
Stephanie Stacy, Qingyi Zhao, Minglu Zhao, Max Kleiman-Weiner, Tao Gao