b'Ran Cheng'

research

∙ 08/12/2023

Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services

Deploying high-performance convolutional neural network (CNN) models on ...

0 Zhichao Lu, et al. ∙

research

∙ 08/10/2023

A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization

Evolutionary multi-objective optimization (EMO) algorithms have been dem...

0 Yansong Huang, et al. ∙

research

∙ 08/03/2023

Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives

Multi-task learning (MTL) seeks to learn a single model to accomplish mu...

0 Chuntao Ding, et al. ∙

research

∙ 07/24/2023

Automotive Object Detection via Learning Sparse Events by Temporal Dynamics of Spiking Neurons

Event-based sensors, with their high temporal resolution (1us) and dynam...

0 Hu Zhang, et al. ∙

research

∙ 07/23/2023

Scale jump-aware pose graph relaxation for monocular SLAM with re-initializations

Pose graph relaxation has become an indispensable addition to SLAM enabl...

0 Runze Yuan, et al. ∙

research

∙ 06/21/2023

Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference

Advancements in adapting deep convolution architectures for Spiking Neur...

0 Boyan Li, et al. ∙

research

∙ 05/04/2023

Rethinking Population-assisted Off-policy Reinforcement Learning

While off-policy reinforcement learning (RL) algorithms are sample effic...

0 Bowen Zheng, et al. ∙

research

∙ 03/24/2023

Accelerating Vision-Language Pretraining with Free Language Modeling

The state of the arts in vision-language pretraining (VLP) achieves exem...

2 Teng Wang, et al. ∙

research

∙ 03/11/2023

Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos

Joint video-language learning has received increasing attention in recen...

0 Teng Wang, et al. ∙

research

∙ 03/07/2023

Evolutionary Reinforcement Learning: A Survey

Reinforcement learning (RL) is a machine learning approach that trains a...

0 Hui Bai, et al. ∙

research

∙ 01/29/2023

EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation

During the past decades, evolutionary computation (EC) has demonstrated ...

0 Beichen Huang, et al. ∙

research

∙ 09/21/2022

Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games

Despite the emerging progress of integrating evolutionary computation in...

4 Hui Bai, et al. ∙

research

∙ 08/14/2022

Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation

The architectural advancements in deep neural networks have led to remar...

0 Zhichao Lu, et al. ∙

research

∙ 08/08/2022

Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment

The ongoing advancements in network architecture design have led to rema...

0 Zhichao Lu, et al. ∙

research

∙ 07/12/2022

Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures

Deep neural networks have been found vulnerable to adversarial attacks, ...

0 Jia Liu, et al. ∙

research

∙ 07/03/2022

Exploiting Context Information for Generic Event Boundary Captioning

Generic Event Boundary Captioning (GEBC) aims to generate three sentence...

0 Jinrui Zhang, et al. ∙

research

∙ 06/17/2022

VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix

Existing vision-language pre-training (VLP) methods primarily rely on pa...

0 Teng Wang, et al. ∙

research

∙ 05/25/2022

Spotlights: Probing Shapes from Spherical Viewpoints

Recent years have witnessed the surge of learned representations that di...

3 Jiaxin Wei, et al. ∙

research

∙ 05/12/2022

S3E-GNN: Sparse Spatial Scene Embedding with Graph Neural Networks for Camera Relocalization

Camera relocalization is the key component of simultaneous localization ...

14 Ran Cheng, et al. ∙

research

∙ 04/13/2022

Semantic-Aware Pretraining for Dense Video Captioning

This report describes the details of our approach for the event dense-ca...

6 Teng Wang, et al. ∙

research

∙ 10/08/2021

Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation

For the goal of automated design of high-performance deep convolutional ...

0 Shengran Hu, et al. ∙

research

∙ 10/04/2021

Revisiting Self-Training for Few-Shot Learning of Language Model

As unlabeled data carry rich task-relevant information, they are proven ...

0 Yiming Chen, et al. ∙

research

∙ 08/18/2021

GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network

Panoptic segmentation as an integrated task of both static environmental...

0 Ryan Razani, et al. ∙

research

∙ 08/17/2021

End-to-End Dense Video Captioning with Parallel Decoding

Dense video captioning aims to generate multiple associated captions wit...

0 Teng Wang, et al. ∙

research

∙ 08/16/2021

FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

Recent advancements in deep neural networks have made remarkable leap-fo...

10 Shihua Huang, et al. ∙

research

∙ 03/16/2021

Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions

Autonomous driving vehicles and robotic systems rely on accurate percept...

0 Ryan Razani, et al. ∙

research

∙ 03/15/2021

S3Net: 3D LiDAR Sparse Semantic Segmentation Network

Semantic Segmentation is a crucial component in the perception systems o...

0 Ran Cheng, et al. ∙

research

∙ 02/08/2021

(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network

Autonomous robotic systems and self driving cars rely on accurate percep...

41 Ran Cheng, et al. ∙

research

∙ 12/16/2020

S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds

With the increasing reliance of self-driving and similar robotic systems...

1 Ran Cheng, et al. ∙

research

∙ 11/27/2020

Multi-objective Neural Architecture Search with Almost No Training

In the recent past, neural architecture search (NAS) has attracted incre...

0 Shengran Hu, et al. ∙

research

∙ 09/14/2020

RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning

Despite the remarkable successes of Convolutional Neural Networks (CNNs)...

14 Hao Tan, et al. ∙

research

∙ 08/04/2020

Multimodal Image-to-Image Translation via a Single Generative Adversarial Network

Despite significant advances in image-to-image (I2I) translation with Ge...

0 Shihua Huang, et al. ∙

research

∙ 03/10/2020

Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction

With an exponential explosive growth of various digital text information...

0 Yan Xiao, et al. ∙

research

∙ 03/07/2020

Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search

The performance of a deep neural network is heavily dependent on its arc...

0 Haoyu Zhang, et al. ∙

research

∙ 03/07/2020

Ternary Compression for Communication-Efficient Federated Learning

Learning over massive data stored in different locations is essential in...

0 Jinjin Xu, et al. ∙

research

∙ 10/11/2019

Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs)

Recently, more and more works have proposed to drive evolutionary algori...

20 Cheng He, et al. ∙

research

∙ 07/10/2019

Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks

Recently, more and more works have proposed to drive evolutionary algori...

12 Cheng He, et al. ∙

research

∙ 06/07/2018

Multiobjective Test Problems with Degenerate Pareto Fronts

In multiobjective optimization, a set of scalable test problems with a v...

0 Liangli Zhen, et al. ∙

research

∙ 01/04/2017

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization

Over the last three decades, a large number of evolutionary algorithms h...

0 Ye Tian, et al. ∙

Ran Cheng

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