Failure Prediction in Datacenters Using Unsupervised Multimodal Anomaly Detection. - Minglu Zhao; Reo Furuhata; Mulya Agung; Hiroyuki Takizawa; Tomoya Soma (IEEE BigData, 2020)

Intuitive Signaling Through an "Imagined We'". - Stephanie Stacy; Qingyi Zhao; Minglu Zhao; Max Kleiman-Weiner; Tao Gao 004 (CogSci, 2020)

Bootstrapping an Imagined We for Cooperation. - Ning Tang; Stephanie Stacy; Minglu Zhao; Gabriel Marquez; Tao Gao 004 (CogSci, 2020)

Improving the Accuracy in SpMV Implementation Selection with Machine Learning. - Reo Furuhata; Minglu Zhao; Mulya Agung; Ryusuke Egawa; Hiroyuki Takizawa (CANDAR (Workshops), 2020)

Modeling Communication to Coordinate Perspectives in Cooperation. - Stephanie Stacy; Chenfei Li; Minglu Zhao; Yiling Yun; Qingyi Zhao; Max Kleiman-Weiner; Tao Gao 004 (CogSci, 2021)

Sharing is not Needed: Modeling Animal Coordinated Hunting with Reinforcement Learning. - Minglu Zhao; Ning Tang; Annya L. Dahmani; Ross Richard Perry; Yixin Zhu 001; Federico Rossano; Tao Gao 004 (CogSci, 2021)

Spatiotemporal Anomaly Detection for Large-Scale Sensor Data. - Minglu Zhao; Hiroyuki Takizawa; Tomoya Soma (PAAP, 2021)

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 004 (CogSci, 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 004 (CogSci, 2022)

Automated selection of build configuration based on machine learning. - Reo Furuhata; Minglu Zhao; Keichi Takahashi; Yoichi Shimomura; Hiroyuki Takizawa (IPDPS Workshops, 2022)

Sharing Rewards Undermines Coordinated Hunting. - Minglu Zhao; Ning Tang; Annya L. Dahmani; Yixin Zhu 001; Federico Rossano; Tao Gao 004 (J. Comput. Biol., 2022)

Inverse Reinforcement Learning with Failed Demonstrations towards Stable Driving Behavior Modeling. - Minglu Zhao; Masamichi Shimosaka (IV, 2024)

Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference. - Deqian Kong; Dehong Xu; Minglu Zhao; Bo Pang 004; Jianwen Xie; Andrew Lizarraga; Yuhao Huang; Sirui Xie; Ying Nian Wu (NeurIPS, 2024)

Latent Plan Transformer: Planning as Latent Variable Inference. - Deqian Kong; Dehong Xu; Minglu Zhao; Bo Pang 004; Jianwen Xie; Andrew Lizarraga; Yuhao Huang; Sirui Xie; Ying Nian Wu (CoRR, 2024)

From Cognition to Computation: A Comparative Review of Human Attention and Transformer Architectures. - Minglu Zhao; Dehong Xu; Tao Gao (CoRR, 2024)

Inverse Attention Agent for Multi-Agent System. - Qian Long; Ruoyan Li; Minglu Zhao; Tao Gao; Demetri Terzopoulos (CoRR, 2024)

A minimalistic representation model for head direction system. - Minglu Zhao; Dehong Xu; Deqian Kong; Wenhao Zhang 002; Ying Nian Wu (CoRR, 2024)

SgLFT: Semantic-guided Late Fusion Transformer for video corpus moment retrieval. - Tongbao Chen; Wenmin Wang 001; Minglu Zhao; Ruochen Li 001; Zhe Jiang; Cheng Yu (Neurocomputing, 2024)

Ultrahigh-definition video quality assessment: A new dataset and benchmark. - Ruochen Li 001; Wenmin Wang 001; Huanqiang Hu; Tongbao Chen; Minglu Zhao (Neurocomputing, 2024)

TA2V: Text-Audio Guided Video Generation. - Minglu Zhao; Wenmin Wang 001; Tongbao Chen; Rui Zhang 108; Ruochen Li 001 (IEEE Trans. Multim., 2024)

Inverse Attention Agents for Multi-Agent Systems. - Qian Long; Ruoyan Li; Minglu Zhao; Tao Gao; Demetri Terzopoulos (ICLR, 2025)

Stable Inverse Reinforcement Learning via Leveraged Guided Motion Planner for Driving Behavior Prediction. - Minglu Zhao; Masamichi Shimosaka (IEEE Access, 2025)

DS&STM-Net: A novel hybrid network of feature mutual fusion for medical image segmentation. - Qi Chen; Wenmin Wang 001; Zhibing Wang; Haomei Jia; Minglu Zhao (Biomed. Signal Process. Control., 2025)

TIA2V: Video generation conditioned on triple modalities of text-image-audio. - Minglu Zhao; Wenmin Wang 001; Rui Zhang 108; Haomei Jia; Qi Chen (Expert Syst. Appl., 2025)

Scalable Language Models with Posterior Inference of Latent Thought Vectors. - Deqian Kong; Minglu Zhao; Dehong Xu; Bo Pang 004; Shu Wang 002; Edouardo Honig; Zhangzhang Si; Chuan Li; Jianwen Xie; Sirui Xie; Ying Nian Wu (CoRR, 2025)

Latent Adaptive Planner for Dynamic Manipulation. - Donghun Noh; Deqian Kong; Minglu Zhao; Andrew Lizarraga; Jianwen Xie; Ying Nian Wu; Dennis W. Hong (CoRR, 2025)

Place Cells as Position Embeddings of Multi-Time Random Walk Transition Kernels for Path Planning. - Minglu Zhao; Dehong Xu; Deqian Kong; Wenhao Zhang 002; Ying Nian Wu (CoRR, 2025)