Search Results for author: Wenli Du

Found 11 papers, 5 papers with code

Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data

no code implementations2 Feb 2025 Mengping Yang, Zhe Wang, Ziqiu Chi, Dongdong Li, Wenli Du

To improve the synthesis performance of GANs in low-data regimes, existing approaches use various data augmentation techniques to enlarge the training sets.

Data Augmentation

MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets

no code implementations18 Jul 2024 Peng Liao, Xilu Wang, Yaochu Jin, Wenli Du

Arguably, due to the small model trap problem in multi-objective neural architecture search (MO-NAS) based on a supernet, existing approaches may fail to maintain large models.

Computational Efficiency Neural Architecture Search +1

Differentiable Distributionally Robust Optimization Layers

1 code implementation24 Jun 2024 Xutao Ma, Chao Ning, Wenli Du

As an application of the proposed differentiable DRO layers, we develop a novel decision-focused learning pipeline for contextual distributionally robust decision-making tasks and compare it with the prediction-focused approach in experiments.

Decision Making Decision Making Under Uncertainty

Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling

no code implementations9 Jan 2024 Wanting Zhang, Wei Du, Guo Yu, Renchu He, Wenli Du, Yaochu Jin

On the basis of the proposed model, a dual-stage evolutionary algorithm driven by heuristic rules (denoted by DSEA/HR) is developed, where the dual-stage search mechanism consists of global search and local refinement.

Scheduling

EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets

1 code implementation CVPR 2023 Peng Liao, Yaochu Jin, Wenli Du

In deep learning, this is usually achieved by sharing a common neural network architecture and jointly training the weights.

Multi-Task Learning Neural Architecture Search

Towards Fairness-Aware Multi-Objective Optimization

no code implementations22 Jul 2022 Guo Yu, Lianbo Ma, Wei Du, Wenli Du, Yaochu Jin

Recent years have seen the rapid development of fairness-aware machine learning in mitigating unfairness or discrimination in decision-making in a wide range of applications.

BIG-bench Machine Learning Decision Making +2

A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization

1 code implementation22 Jun 2021 Jinjin Xu, Yaochu Jin, Wenli Du

Data-driven optimization has found many successful applications in the real world and received increased attention in the field of evolutionary optimization.

Evolutionary Algorithms Federated Learning

A Federated Data-Driven Evolutionary Algorithm

1 code implementation16 Feb 2021 Jinjin Xu, Yaochu Jin, Wenli Du, Sai Gu

Data-driven evolutionary optimization has witnessed great success in solving complex real-world optimization problems.

Federated Learning Management

Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey

no code implementations8 Jan 2020 Yang Tang, Chaoqiang Zhao, Jianrui Wang, Chongzhen Zhang, Qiyu Sun, Weixing Zheng, Wenli Du, Feng Qian, Juergen Kurths

Second, we review the visual-based environmental perception and understanding methods based on deep learning, including deep learning-based monocular depth estimation, monocular ego-motion prediction, image enhancement, object detection, semantic segmentation, and their combinations with traditional vSLAM frameworks.

Autonomous Navigation Decision Making +14

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