b'Bo Yuan'

research

∙ 08/22/2023

Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation

Impressive performance on point cloud semantic segmentation has been ach...

0 Zongyi Xu, et al. ∙

research

∙ 06/23/2023

On a Class of Gibbs Sampling over Networks

We consider the sampling problem from a composite distribution whose pot...

0 Bo Yuan, et al. ∙

research

∙ 05/29/2023

From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework

Textual adversarial attacks can discover models' weaknesses by adding se...

0 Yangyi Chen, et al. ∙

research

∙ 05/26/2023

COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models

Attention-based vision models, such as Vision Transformer (ViT) and its ...

0 Jinqi Xiao, et al. ∙

research

∙ 05/09/2023

Guided Focal Stack Refinement Network for Light Field Salient Object Detection

Light field salient object detection (SOD) is an emerging research direc...

1 Bo Yuan, et al. ∙

research

∙ 05/09/2023

DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap Optimizing

The knowledge distillation uses a high-performance teacher network to gu...

2 Songling Zhu, et al. ∙

research

∙ 05/02/2023

Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing

Federated learning (FL) is a collaborative learning paradigm for decentr...

22 Yifan Shi, et al. ∙

research

∙ 05/01/2023

Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy

To defend the inference attacks and mitigate the sensitive information l...

3 Yifan Shi, et al. ∙

research

∙ 02/20/2023

Improved dimension dependence of a proximal algorithm for sampling

We propose a sampling algorithm that achieves superior complexity bounds...

5 Jiaojiao Fan, et al. ∙

research

∙ 02/08/2023

Improving the Model Consistency of Decentralized Federated Learning

To mitigate the privacy leakages and communication burdens of Federated ...

10 Yifan Shi, et al. ∙

research

∙ 01/28/2023

SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning

Offline safe RL is of great practical relevance for deploying agents in ...

9 Qin Zhang, et al. ∙

research

∙ 01/20/2023

HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks

Low-rank compression is an important model compression strategy for obta...

1 Jinqi Xiao, et al. ∙

research

∙ 01/13/2023

GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer

The recently proposed Vision transformers (ViTs) have shown very impress...

5 Miao Yin, et al. ∙

research

∙ 01/04/2023

GUAP: Graph Universal Attack Through Adversarial Patching

Graph neural networks (GNNs) are a class of effective deep learning mode...

14 Xiao Zang, et al. ∙

research

∙ 12/12/2022

Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks

Safety comes first in many real-world applications involving autonomous ...

9 Linrui zhang, et al. ∙

research

∙ 12/05/2022

Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition

Long short-term memory (LSTM) is a type of powerful deep neural network ...

18 Yu Gong, et al. ∙

research

∙ 11/07/2022

TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition

Tucker decomposition is one of the SOTA CNN model compression techniques...

0 Lizhi Xiang, et al. ∙

research

∙ 10/28/2022

RoChBert: Towards Robust BERT Fine-tuning for Chinese

Despite of the superb performance on a wide range of tasks, pre-trained ...

0 Zihan Zhang, et al. ∙

research

∙ 10/21/2022

Text Editing as Imitation Game

Text editing, such as grammatical error correction, arises naturally fro...

7 Ning Shi, et al. ∙

research

∙ 10/21/2022

Syntax-guided Localized Self-attention by Constituency Syntactic Distance

Recent works have revealed that Transformers are implicitly learning the...

1 Shengyuan Hou, et al. ∙

research

∙ 10/10/2022

A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning

Visual reinforcement learning (RL), which makes decisions directly from ...

13 Guozheng Ma, et al. ∙

research

∙ 09/01/2022

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization

A key challenge of continual reinforcement learning (CRL) in dynamic env...

2 Tiantian Zhang, et al. ∙

research

∙ 08/24/2022

Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner

Neural network (NN)-based methods have emerged as an attractive approach...

12 Xiao Zang, et al. ∙

research

∙ 08/16/2022

The least-used key selection method for information retrieval in large-scale Cloud-based service repositories

As the number of devices connected to the Internet of Things (IoT) incre...

0 Jiayan Gu, et al. ∙

research

∙ 08/15/2022

Nesterov smoothing for sampling without smoothness

We study the problem of sampling from a target distribution in ℝ^d whose...

0 Jiaojiao Fan, et al. ∙

research

∙ 06/17/2022

SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving

Safe reinforcement learning (RL) has achieved significant success on ris...

14 Linrui zhang, et al. ∙

research

∙ 05/24/2022

Penalized Proximal Policy Optimization for Safe Reinforcement Learning

Safe reinforcement learning aims to learn the optimal policy while satis...

16 Linrui zhang, et al. ∙

research

∙ 04/05/2022

Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation

Unsupervised domain adaptation (UDA) aims to enhance the generalization ...

3 Bo Yuan, et al. ∙

research

∙ 02/21/2022

Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning

One of the key challenges in visual Reinforcement Learning (RL) is to le...

8 Zhecheng Yuan, et al. ∙

research

∙ 01/24/2022

BTPK-based learning: An Interpretable Method for Named Entity Recognition

Named entity recognition (NER) is an essential task in natural language ...

6 Yulin Chen, et al. ∙

research

∙ 01/03/2022

Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism

The dynamic job-shop scheduling problem (DJSP) is a class of scheduling ...

3 Yunhui Zeng, et al. ∙

research

∙ 01/01/2022

A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning

The integration of Reinforcement Learning (RL) and Evolutionary Algorith...

4 Yuxing Wang, et al. ∙

research

∙ 09/06/2021

Method for making multi-attribute decisions in wargames by combining intuitionistic fuzzy numbers with reinforcement learning

Researchers are increasingly focusing on intelligent games as a hot rese...

1 Yuxiang Sun, et al. ∙

research

∙ 09/01/2021

Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation

The powerful learning ability of deep neural networks enables reinforcem...

10 Tiantian Zhang, et al. ∙

research

∙ 07/26/2021

Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework

Advanced tensor decomposition, such as Tensor train (TT) and Tensor ring...

7 Miao Yin, et al. ∙

research

∙ 06/19/2021

Boosting Offline Reinforcement Learning with Residual Generative Modeling

Offline reinforcement learning (RL) tries to learn the near-optimal poli...

7 Hua Wei, et al. ∙

research

∙ 06/08/2021

Optimization of Service Addition in Multilevel Index Model for Edge Computing

With the development of Edge Computing and Artificial Intelligence (AI) ...

0 Jiayan Gu, et al. ∙

research

∙ 05/01/2021

Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement

Multi-view clustering is an important yet challenging task in machine le...

7 Chen Zhang, et al. ∙

research

∙ 04/13/2021

Inference of cell dynamics on perturbation data using adjoint sensitivity

Data-driven dynamic models of cell biology can be used to predict cell r...

7 Weiqi Ji, et al. ∙

research

∙ 03/28/2021

Noise Injection-based Regularization for Point Cloud Processing

Noise injection-based regularization, such as Dropout, has been widely u...

4 Xiao Zang, et al. ∙

research

∙ 02/08/2021

Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding

Recently deep neural networks have been successfully applied in channel ...

9 Siyu Liao, et al. ∙

research

∙ 01/08/2021

NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection

In recent studies, Lots of work has been done to solve time series anoma...

24 Liang Xu, et al. ∙

research

∙ 12/30/2020

How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?

Unsupervised domain adaptation (UDA) aims to train a target classifier w...

9 Li Zhong, et al. ∙

research

∙ 11/25/2020

Towards Playing Full MOBA Games with Deep Reinforcement Learning

MOBA games, e.g., Honor of Kings, League of Legends, and Dota 2, pose gr...

5 Deheng Ye, et al. ∙

research

∙ 11/25/2020

Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings

We present JueWu-SL, the first supervised-learning-based artificial inte...

6 Deheng Ye, et al. ∙

research

∙ 08/04/2020

Learning from a Complementary-label Source Domain: Theory and Algorithms

In unsupervised domain adaptation (UDA), a classifier for the target dom...

2 Yiyang Zhang, et al. ∙

research

∙ 07/29/2020

Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation

In unsupervised domain adaptation (UDA), classifiers for the target doma...

6 Yiyang Zhang, et al. ∙

research

∙ 06/27/2020

Local Causal Structure Learning and its Discovery Between Type 2 Diabetes and Bone Mineral Density

Type 2 diabetes (T2DM), one of the most prevalent chronic diseases, affe...

0 Wei Wang, et al. ∙

research

∙ 06/23/2020

Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation

In the unsupervised open set domain adaptation (UOSDA), the target domai...

18 Li Zhong, et al. ∙

research

∙ 04/26/2020

Enabling Fast and Universal Audio Adversarial Attack Using Generative Model

Recently, the vulnerability of DNN-based audio systems to adversarial at...

0 Yi Xie, et al. ∙

Bo Yuan

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