百晓学者学者目录

余其

副教授、副研究员、助理教授、博士生导师、教授、研究员、硕士生导师、讲师，同济大学

精选作品

期刊论文

2026

AvAtar: Learning to Align via Active Optimal Transport

Qi Yu, Rui-Zhong Qiu, Zhichen Zeng, My T. Thai, Huan Liu, Hanghang Tong

arXiv.org

DOI

2026

Beyond the Class Subspace: Teacher-Guided Training for Reliable Out-of-Distribution Detection in Single-Domain Models

Hong Yang, Devroop Kar, Qi Yu, Travis Desell, Alexander G. Ororbia

arXiv.org

DOI

2026

Scalable Optimal Transport Algorithm for Network Alignment

Elaheh Hassani, D. Mandarapu, Qi Yu, Hanghang Tong, Ariful Azad

arXiv.org

DOI

2026

Prototype Similarity-Weighted Subdomain Adaptation With Dynamic Boundary for Open-Set Jamming Recognition

Haitao Xiao, Yi-Bo Zhou, Xiaojun Wu, Qi Yu, Wenjie Wang, H. Ogai

IEEE Transactions on Vehicular Technology

DOI

2026

When Does Restricting a Coding Agent to execute_code Help? A Regime ⨉ Agent-Design Ablation

Hong Yang, Qi Yu, Travis Desell

arXiv.org

DOI

2025

Generalized Regularized Evidential Deep Learning Models: Theory and Comprehensive Evaluation

Deep Shankar Pandey, Hyomin Choi, Qi Yu

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

Can We Ignore Labels in Out of Distribution Detection?

Hong Yang, Qi Yu, Travis J. Desell

International Conference on Learning Representations

DOI

2025

Harnessing Consistency for Robust Test-Time LLM Ensemble

Zhichen Zeng, Qi Yu, Xiao Lin, Rui-Zhong Qiu, Xu-Ying Ning, Tian-Xin Wei, Yu-Chen Yan, Jing-Rui He, Hanghang Tong

Conference of the European Chapter of the Association for Computational Linguistics

DOI

2025

Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection

Spandan Pyakurel, Qi Yu

International Conference on Machine Learning

2025

Domain Feature Collapse: Implications for Out-of-Distribution Detection and Solutions

Hong Yang, Devroop Kar, Qi Yu, Alexander G. Ororbia, Travis J. Desell

arXiv.org

DOI

2025

PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment

Qi Yu, Zhichen Zeng, Yu-Chen Yan, Zhining Liu, Baoyu Jing, Rui-Zhong Qiu, Ariful Azad, Hanghang Tong

arXiv.org

DOI

2025

GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering

Mahsa Mozaffari, Hitesh Sapkota, Qi Yu

AAAI Conference on Artificial Intelligence

DOI

2025

Joint Optimal Transport and Embedding for Network Alignment

Qi Yu, Zhichen Zeng, Yu-Chen Yan, Lei Ying, R. Srikant, Hanghang Tong

The Web Conference

DOI

2024

量子系统辨识与参数估计

王元龙，肖水鑫，余其，董道毅

《中国科学:数学》

2024

Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks

Xiao-Fan Que, Qi Yu

AAAI Conference on Artificial Intelligence

DOI

2024

Hierarchical Novelty Detection via Fine-Grained Evidence Allocation

Spandan Pyakurel, Qi Yu

International Conference on Machine Learning

2024

Deep energy-pressure regression for a thermodynamically consistent EOS model

Dayou Yu, Deep Shankar Pandey, J. Hinz, D. Mihaylov, V. V. Karasiev, Suxing Hu, Qi Yu

Machine Learning: Science and Technology

DOI

2024

Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity

Dayou Yu, Minghao Li, Weishi Shi, Qi Yu

Neural Information Processing Systems

DOI

2024

Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data

Xiao-Fan Que, Qi Yu

European Conference on Computer Vision

DOI

2024

Meta Evidential Transformer for Few-Shot Open-Set Recognition

Hitesh Sapkota, Krishna Prasad Neupane, Qi Yu

International Conference on Machine Learning

2024

Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness

Ding-Rong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu

Knowledge Discovery and Data Mining

DOI

2024

Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection

Ding-Rong Wang, Hitesh Sapkota, Qi Yu

Neural Information Processing Systems

DOI

2024

The development of thermodynamically consistent and physics-informed equation-of-state model through machine learning

J. Hinz, Dayou Yu, Deep Shankar Pandey, Hitesh Sapkota, Qi Yu, D. Mihaylov, V. V. Karasiev, S.-X. Hu

APL Machine Learning

DOI

2024

Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models

Deep Shankar Pandey, Spandan Pyakurel, Qi Yu

Neural Information Processing Systems

DOI

2023

Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training

Hitesh Sapkota, Ding-Rong Wang, Zhiqiang Tao, Qi Yu

Neural Information Processing Systems

DOI

2023

Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning

Dayou Yu, Weishi Shi, Qi Yu

International Conference on Machine Learning

2023

On Model Explanations with Transferable Neural Pathways

Xin-Miao Lin, Wentao Bao, Qi Yu, Yu Kong

arXiv.org

DOI

2023

Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data

Hitesh Sapkota, Qi Yu

International Conference on Learning Representations

2023

STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations

Dayou Yu, Weishi Shi, Qi Yu

AAAI Conference on Artificial Intelligence

DOI

2023

Latent Space Energy-based Model for Fine-grained Open Set Recognition

Wentao Bao, Qi Yu, Yu Kong

arXiv.org

DOI

2023

Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice

Dayou Yu, Weishi Shi, Qi Yu

Neural Information Processing Systems

DOI

2023

Learn to Accumulate Evidence from All Training Samples: Theory and Practice

Deepshikha Pandey, Qi Yu

International Conference on Machine Learning

DOI

2023

An Investigation on the Effects of Exemplars Selection on Convergence and Diversity in Large-Scale Particle Swarm Optimizer

Minchong Chen, Xuejing Hou, Qi Yu, Dongyang Li, Weian Guo

Communications in computer and information science

DOI

2022

OpenTAL: Towards Open Set Temporal Action Localization

Wentao Bao, Qi Yu, Yu Kong

Computer Vision and Pattern Recognition

DOI

2022

Evidential Conditional Neural Processes

Deepshikha Pandey, Qi Yu

AAAI Conference on Artificial Intelligence

DOI

2022

Balancing Bias and Variance for Active Weakly Supervised Learning

Hitesh Sapkota, Qi Yu

Knowledge Discovery and Data Mining

DOI

2022

Towards Open Set Video Anomaly Detection

Yuansheng Zhu, Wentao Bao, Qi Yu

European Conference on Computer Vision

DOI

2022

Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection

Hitesh Sapkota, Qi Yu

Computer Vision and Pattern Recognition

DOI

2021

DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation

Wentao Bao, Qi Yu, Yu Kong

IEEE International Conference on Computer Vision

DOI

2021

Active Learning with Maximum Margin Sparse Gaussian Processes

Weishi Shi, Qi Yu

International Conference on Artificial Intelligence and Statistics

2021

A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning

Weishi Shi, Dayou Yu, Qi Yu

Neural Information Processing Systems

2021

Evidential Deep Learning for Open Set Action Recognition

Wentao Bao, Qi Yu, Yu Kong

IEEE International Conference on Computer Vision

DOI

2021

Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data

Yuansheng Zhu, Weishi Shi, Deepshikha Pandey, Yang Liu, Xiao-Fan Que, Daniel E. Krutz, Qi Yu

2021 IEEE International Conference on Big Data (Big Data)

DOI

2021

Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning

Hitesh Sapkota, Yiming Ying, F. Chen, Qi Yu

International Conference on Artificial Intelligence and Statistics

2020

Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning

Weishi Shi, Xu-Jiang Zhao, Feng Chen, Qi Yu

Neural Information Processing Systems

2020

Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning

Wentao Bao, Qi Yu, Yu Kong

ACM Multimedia

DOI

2020

Object-Aware Centroid Voting for Monocular 3D Object Detection

Wentao Bao, Qi Yu, Yu Kong

IEEE/RJS International Conference on Intelligent RObots and Systems

DOI

2019

Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning

Weishi Shi, Qi Yu

Neural Information Processing Systems

2019

Evidence-Aware Entropy Decomposition For Active Deep Learning

Weishi Shi, Xu-Jiang Zhao, Feng Chen, Qi Yu

2019

Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning

Weishi Shi, Qi Yu

International Conference on Machine Learning

2019

Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility

Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz

International Conference on Automated Software Engineering

DOI

2018

An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains

Weishi Shi, Qi Yu

Industrial Conference on Data Mining

DOI

Calibrated Knowledge Aggregation in Bayesian Mixture-of-Experts for Continual VQA

Mahsa Mozaffari, Hitesh Sapkota, Yu Kong, Xumin Liu, Qi Yu, Rec Loc, Jdg Com, Cnt Act

预印本

2026

Hierarchical Credit Assignment for RLVR on Fused Gromov-Wasserstein Geometry

Qi Yu, Ruizhong Qiu, Zhichen Zeng, Xuying Ning, Yanjun Zhao, Dongqi Fu, Yinglong Xia, Hong Li, Hanghang Tong

arXiv preprint

2026

From Inference to Adaptation: A Unified Optimal Transport View of Vision Language Model

Qi Yu, Zhichen Zeng, Katherine Tieu, Xiyuan Yang, Ruizhong Qiu, Yuchen Yan, Lihui Liu, Yanjun Zhao, Lingjie Chen, Jingrui He, Hanghang Tong

arXiv preprint

2026

Control-centric quantum noise spectroscopy of time-ordered polyspectra

Kaiah Steven, Elliot Coupe, Qi Yu, Gerardo A. Paz-Silva

arXiv preprint

DOI

2025

Tracking Quantum Dynamics in an Optical Cavity for Recovering Purity and Squeezing via Quantum State Smoothing

Shota Yokoyama, Kiarn T. Laverick, David McManus, Qi Yu, Areeya Chantasri, Warit Asavanant, Daoyi Dong, Howard M. Wiseman, Hidehiro Yonezawa

arXiv preprint

2023

Model-free Quantum Gate Design and Calibration using Deep Reinforcement Learning

Omar Shindi, Qi Yu, Parth Girdhar, Daoyi Dong

arXiv preprint

2021

Simultaneous estimation of parameters and the state of an optical parametric oscillator system

Qi Yu, Shota Yokoyama, Daoyi Dong, David McManus, Hidehiro Yonezawa

arXiv preprint

2020

Hybrid filtering for a class of nonlinear quantum systems subject to classical stochastic disturbances

Qi Yu, Daoyi Dong, Ian R. Petersen

arXiv preprint

2020

Generation of accessible sets in the dynamical modelling of quantum network systems

Qi Yu, Yuanlong Wang, Daoyi Dong, Ian R. Petersen, Guo-Yong Xiang

arXiv preprint

2020

On the capability of a class of quantum sensors

Qi Yu, Yuanlong Wang, Daoyi Dong, Ian R. Petersen

arXiv preprint

DOI

研究方向

控制理论量子控制人工智能

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