Search Results for author: Yuhan Zhao

Found 14 papers, 5 papers with code

From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking

no code implementations24 Dec 2024 Yuhan Zhao, Rui Chen, Li Chen, Shuang Zhang, Qilong Han, Hongtao Song

However, bridging the gap in practice encounters two formidable challenges: (1) none of the real-world datasets contains full ranking information; (2) there does not exist a loss function that is capable of consuming ranking information.

Collaborative Filtering Ordinal Classification

Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data

1 code implementation24 Dec 2024 Yuhan Zhao, Rui Chen, Qilong Han, Hongtao Song, Li Chen

Implementing the PNN paradigm is, however, technically challenging because: (1) it is difficult to classify unlabeled data into neutral or negative in the absence of supervised signals; (2) there does not exist any loss function that can handle set-level triple-wise ranking relationships.

Collaborative Filtering Recommendation Systems

SegACIL: Solving the Stability-Plasticity Dilemma in Class-Incremental Semantic Segmentation

1 code implementation14 Dec 2024 Jiaxu Li, Songning Lai, Rui Li, Di Fang, Kejia Fan, Jianheng Tang, Yuhan Zhao, Rongchang Zhao, Dongzhan Zhou, Yutao Yue, Huiping Zhuang

Extensive experiments on the Pascal VOC2012 dataset show that SegACIL achieves superior performance in the sequential, disjoint, and overlap settings, offering a robust solution to the challenges of class-incremental semantic segmentation.

Class-Incremental Semantic Segmentation Continual Learning

HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection

1 code implementation4 Nov 2024 Anran Zhang, Xingfen Wang, Yuhan Zhao

While previous research has effectively leveraged network topology and attribute information for attributed community detection, these methods overlook two critical issues: (i) the semantic similarity between node attributes within the community, and (ii) the inherent mesoscopic structure, which differs from the pairwise connections of the micro-structure.

Anomaly Detection Attribute +5

CLASH: Complementary Learning with Neural Architecture Search for Gait Recognition

no code implementations4 Jul 2024 Huanzhang Dou, Pengyi Zhang, Yuhan Zhao, Lu Jin, Xi Li

To enhance the sensitivity to the walking pattern while maintaining the robustness of recognition, we present a Complementary Learning with neural Architecture Search (CLASH) framework, consisting of walking pattern sensitive gait descriptor named dense spatial-temporal field (DSTF) and neural architecture search based complementary learning (NCL).

Gait Recognition Neural Architecture Search

Integrated Cyber-Physical Resiliency for Power Grids under IoT-Enabled Dynamic Botnet Attacks

no code implementations3 Jan 2024 Yuhan Zhao, Juntao Chen, Quanyan Zhu

The attacker aims to exploit this vulnerability to enable a successful physical compromise, while the system operator's goal is to ensure a normal operation of the grid by mitigating cyber risks.

Decision Making

Causality-Inspired Fair Representation Learning for Multimodal Recommendation

1 code implementation26 Oct 2023 Weixin Chen, Li Chen, Yongxin Ni, Yuhan Zhao

Recently, multimodal recommendations (MMR) have gained increasing attention for alleviating the data sparsity problem of traditional recommender systems by incorporating modality-based representations.

Attribute Causal Inference +5

Augmented Negative Sampling for Collaborative Filtering

1 code implementation11 Aug 2023 Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, Li Chen

To balance efficiency and effectiveness, the vast majority of existing methods follow the two-pass approach, in which the first pass samples a fixed number of unobserved items by a simple static distribution and then the second pass selects the final negative items using a more sophisticated negative sampling strategy.

Collaborative Filtering

GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning

no code implementations6 Jun 2023 Huanzhang Dou, Pengyi Zhang, Yuhan Zhao, Lin Dong, Zequn Qin, Xi Li

In this work, we propose to solve the hard sample issue with a Memory-augmented Progressive Learning network (GaitMPL), including Dynamic Reweighting Progressive Learning module (DRPL) and Global Structure-Aligned Memory bank (GSAM).

Diversity Gait Recognition

Stackelberg Meta-Learning Based Control for Guided Cooperative LQG Systems

no code implementations11 Nov 2022 Yuhan Zhao, Quanyan Zhu

To this end, we develop a meta-learning-based Stackelberg game-theoretic framework to address the challenges in the guided cooperative control for linear systems.

Meta-Learning

Multi-Agent Learning for Resilient Distributed Control Systems

no code implementations9 Aug 2022 Yuhan Zhao, Craig Rieger, Quanyan Zhu

In this book chapter, we present a multi-agent system (MAS) framework for distributed large-scale control systems and discuss the role of MAS learning in resiliency.

Autonomous and Resilient Control for Optimal LEO Satellite Constellation Coverage Against Space Threats

no code implementations3 Mar 2022 Yuhan Zhao, Quanyan Zhu

As on-orbit repairs are challenging, a distributed and autonomous protection mechanism is necessary to ensure the adaptation and self-healing of the satellite constellation coverage from different attacks.

Model Predictive Control

VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios

no code implementations5 Jan 2021 Huanzhang Dou, Wenhu Zhang, Pengyi Zhang, Yuhan Zhao, Songyuan Li, Zequn Qin, Fei Wu, Lin Dong, Xi Li

With the motivation of practical gait recognition applications, we propose to automatically create a large-scale synthetic gait dataset (called VersatileGait) by a game engine, which consists of around one million silhouette sequences of 11, 000 subjects with fine-grained attributes in various complicated scenarios.

Diversity Gait Recognition

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