b'Yi Wu'

research

∙ 05/29/2023

How Effective Are Neural Networks for Fixing Security Vulnerabilities

Security vulnerability repair is a difficult task that is in dire need o...

0 Yi Wu, et al. ∙

research

∙ 03/31/2023

Grounding Object Relations in Language-Conditioned Robotic Manipulation with Semantic-Spatial Reasoning

Grounded understanding of natural language in physical scenes can greatl...

0 Qian Luo, et al. ∙

research

∙ 03/16/2023

Emotional Reaction Intensity Estimation Based on Multimodal Data

This paper introduces our method for the Emotional Reaction Intensity (E...

0 Shangfei Wang, et al. ∙

research

∙ 03/16/2023

Facial Affective Behavior Analysis Method for 5th ABAW Competition

Facial affective behavior analysis is important for human-computer inter...

0 Shangfei Wang, et al. ∙

research

∙ 02/20/2023

Differentiable Arbitrating in Zero-sum Markov Games

We initiate the study of how to perturb the reward in a zero-sum Markov ...

0 Jing Wang, et al. ∙

research

∙ 02/06/2023

Domain Re-Modulation for Few-Shot Generative Domain Adaptation

In this study, we investigate the task of few-shot Generative Domain Ada...

0 Yi Wu, et al. ∙

research

∙ 02/03/2023

Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased

There is a recent trend of applying multi-agent reinforcement learning (...

0 Chao Yu, et al. ∙

research

∙ 01/09/2023

Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration

We consider the problem of cooperative exploration where multiple robots...

0 Chao Yu, et al. ∙

research

∙ 11/17/2022

AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov Decision Process

Reinforcement learning has recently been used to approach well-known NP-...

0 Kevin Du, et al. ∙

research

∙ 11/11/2022

PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation

Pre-trained language models have become a crucial part of ranking system...

0 Lianshang Cai, et al. ∙

research

∙ 10/10/2022

FedBA: Non-IID Federated Learning Framework in UAV Networks

With the development and progress of science and technology, the Interne...

0 Pei Li, et al. ∙

research

∙ 07/20/2022

Multi-Task Learning for Emotion Descriptors Estimation at the fourth ABAW Challenge

Facial valence/arousal, expression and action unit are related tasks in ...

0 Yanan Chang, et al. ∙

research

∙ 07/20/2022

Hand-Assisted Expression Recognition Method from Synthetic Images at the Fourth ABAW Challenge

Learning from synthetic images plays an important role in facial express...

0 Xiangyu Miao, et al. ∙

research

∙ 06/24/2022

Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning

It has been a recent trend to leverage the power of supervised learning ...

0 Yunfei Li, et al. ∙

research

∙ 06/15/2022

Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning

Many advances in cooperative multi-agent reinforcement learning (MARL) a...

0 Wei Fu, et al. ∙

research

∙ 04/19/2022

Self-Calibrated Efficient Transformer for Lightweight Super-Resolution

Recently, deep learning has been successfully applied to the single-imag...

0 Wenbin Zou, et al. ∙

research

∙ 04/12/2022

Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets

Can a robot autonomously learn to design and construct a bridge from var...

0 Yunfei Li, et al. ∙

research

∙ 04/09/2022

E^2TAD: An Energy-Efficient Tracking-based Action Detector

Video action detection (spatio-temporal action localization) is usually ...

0 Xin Hu, et al. ∙

research

∙ 04/04/2022

Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization

We present Reward-Switching Policy Optimization (RSPO), a paradigm to di...

0 Zihan Zhou, et al. ∙

research

∙ 02/11/2022

Understanding Curriculum Learning in Policy Optimization for Solving Combinatorial Optimization Problems

Over the recent years, reinforcement learning (RL) has shown impressive ...

9 Runlong Zhou, et al. ∙

research

∙ 12/13/2021

Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension

We present Native Chinese Reader (NCR), a new machine reading comprehens...

0 Shusheng Xu, et al. ∙

research

∙ 12/13/2021

A Benchmark for Low-Switching-Cost Reinforcement Learning

A ubiquitous requirement in many practical reinforcement learning (RL) a...

0 Shusheng Xu, et al. ∙

research

∙ 12/12/2021

Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward

Discovering hazardous scenarios is crucial in testing and further improv...

0 Weilin Liu, et al. ∙

research

∙ 11/17/2021

Nonlinear Intensity Sonar Image Matching based on Deep Convolution Features

In the field of deep-sea exploration, sonar is presently the only effici...

0 Xiaoteng Zhou, et al. ∙

research

∙ 11/08/2021

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems

We introduce a curriculum learning algorithm, Variational Automatic Curr...

4 Jiayu Chen, et al. ∙

research

∙ 11/03/2021

PhyloTransformer: A Discriminative Model for Mutation Prediction Based on a Multi-head Self-attention Mechanism

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused ...

15 Yingying Wu, et al. ∙

research

∙ 10/12/2021

SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring

Image deblurring is a classical computer vision problem that aims to rec...

0 Wenbin Zou, et al. ∙

research

∙ 10/12/2021

Learning Efficient Multi-Agent Cooperative Visual Exploration

We consider the task of visual indoor exploration with multiple agents, ...

0 Chao Yu, et al. ∙

research

∙ 09/08/2021

Sequence Level Contrastive Learning for Text Summarization

Contrastive learning models have achieved great success in unsupervised ...

0 Shusheng Xu, et al. ∙

research

∙ 08/21/2021

Temporal Induced Self-Play for Stochastic Bayesian Games

One practical requirement in solving dynamic games is to ensure that the...

0 Weizhe Chen, et al. ∙

research

∙ 08/05/2021

Learning to Design and Construct Bridge without Blueprint

Autonomous assembly has been a desired functionality of many intelligent...

0 Yunfei Li, et al. ∙

research

∙ 04/26/2021

FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia

Existing deep learning technologies generally learn the features of ches...

0 Longling Zhang, et al. ∙

research

∙ 04/07/2021

Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels

Graph neural networks (GNNs) have achieved tremendous success in graph m...

0 Qingqing Long, et al. ∙

research

∙ 03/21/2021

Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-Identification

Recently, video-based person re-identification (re-ID) has drawn increas...

0 Guoqing Zhang, et al. ∙

research

∙ 03/02/2021

The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games

Proximal Policy Optimization (PPO) is a popular on-policy reinforcement ...

7 Chao Yu, et al. ∙

research

∙ 10/16/2020

Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers

Unsupervised extractive document summarization aims to select important ...

0 Shusheng Xu, et al. ∙

research

∙ 09/23/2020

Streaming Graph Neural Networks via Continual Learning

Graph neural networks (GNNs) have achieved strong performance in various...

12 Junshan Wang, et al. ∙

research

∙ 09/16/2020

Hybrid-Attention Guided Network with Multiple Resolution Features for Person Re-Identification

Extracting effective and discriminative features is very important for a...

0 Guoqing Zhang, et al. ∙

research

∙ 09/10/2020

Multi-Authority Ciphertext-Policy Attribute Based Encryption With Accountability

Attribute-based encryption (ABE) is a promising tool for implementing fi...

0 Wei Zhang, et al. ∙

research

∙ 04/16/2020

Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation

Deformation field estimation is an important and challenging issue in ma...

0 Yujia Zhou, et al. ∙

research

∙ 03/30/2020

Multi-Task Reinforcement Learning with Soft Modularization

Multi-task learning is a very challenging problem in reinforcement learn...

12 Ruihan Yang, et al. ∙

research

∙ 03/26/2020

SaccadeNet: A Fast and Accurate Object Detector

Object detection is an essential step towards holistic scene understandi...

0 Shiyi Lan, et al. ∙

research

∙ 03/23/2020

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

In multi-agent games, the complexity of the environment can grow exponen...

9 Qian Long, et al. ∙

research

∙ 01/19/2020

SQLFlow: A Bridge between SQL and Machine Learning

Industrial AI systems are mostly end-to-end machine learning (ML) workfl...

0 Yi Wang, et al. ∙

research

∙ 10/12/2019

Influence-Based Multi-Agent Exploration

Intrinsically motivated reinforcement learning aims to address the explo...

17 Tonghan Wang, et al. ∙

research

∙ 10/04/2019

PPGAN: Privacy-preserving Generative Adversarial Network

Generative Adversarial Network (GAN) and its variants serve as a perfect...

0 YI LIU, et al. ∙

research

∙ 09/17/2019

Emergent Tool Use From Multi-Agent Autocurricula

Through multi-agent competition, the simple objective of hide-and-seek, ...

2 Bowen Baker, et al. ∙

research

∙ 09/10/2019

Bayesian Relational Memory for Semantic Visual Navigation

We introduce a new memory architecture, Bayesian Relational Memory (BRM)...

26 Yi Wu, et al. ∙

research

∙ 03/02/2019

Fairness in Recommendation Ranking through Pairwise Comparisons

Recommender systems are one of the most pervasive applications of machin...

14 Alex Beutel, et al. ∙

research

∙ 03/01/2019

Dominant Dataset Selection Algorithms for Time-Series Data Based on Linear Transformation

With the explosive growth of time-series data, the scale of time-series ...

0 Yi Wu, et al. ∙

Yi Wu

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