Xiangyu Liu | DeepAI

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Wei Wang
492 publications
Bo Li
461 publications
Chao Zhang
239 publications
Kai Chen
182 publications
Yu Cheng
139 publications
Tuomas Sandholm
82 publications
Jian Xu
75 publications
Shouling Ji
74 publications
Fan Wu
73 publications
Bo Yuan
72 publications
Xiaofeng Wang
64 publications

∙ 08/16/2023

Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing

We study provable multi-agent reinforcement learning (MARL) in the gener...

0 Xiangyu Liu, et al. ∙

∙ 07/22/2023

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations

Robust reinforcement learning (RL) seeks to train policies that can perf...

0 Yongyuan Liang, et al. ∙

∙ 05/27/2023

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL

Most existing works consider direct perturbations of victim's state/acti...

15 Xiangyu Liu, et al. ∙

∙ 04/14/2023

FairRec: Fairness Testing for Deep Recommender Systems

Deep learning-based recommender systems (DRSs) are increasingly and wide...

0 Huizhong Guo, et al. ∙

∙ 03/22/2023

Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments

Reliable localization is crucial for autonomous robots to navigate effic...

0 Yuan Chen, et al. ∙

∙ 12/27/2022

A Survey on Knowledge-Enhanced Pre-trained Language Models

Natural Language Processing (NLP) has been revolutionized by the use of ...

6 Chaoqi Zhen, et al. ∙

∙ 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. ∙

∙ 05/03/2022

SemAttack: Natural Textual Attacks via Different Semantic Spaces

Recent studies show that pre-trained language models (LMs) are vulnerabl...

0 Boxin Wang, et al. ∙

∙ 11/10/2021

On Designing a Two-stage Auction for Online Advertising

For the scalability of industrial online advertising systems, a two-stag...

0 Yiqing Wang, et al. ∙

∙ 09/10/2021

Counterfactual Adversarial Learning with Representation Interpolation

Deep learning models exhibit a preference for statistical fitting over l...

0 Wei Wang, et al. ∙

∙ 06/12/2021

Incorporating External POS Tagger for Punctuation Restoration

Punctuation restoration is an important post-processing step in automati...

0 Ning Shi, et al. ∙

∙ 06/11/2021

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising

In online advertising, auto-bidding has become an essential tool for adv...

0 Chao Wen, et al. ∙

∙ 06/07/2021

Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising

In e-commerce advertising, it is crucial to jointly consider various per...

0 Xiangyu Liu, et al. ∙

∙ 02/23/2021

Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation

Despite that deep neural networks (DNNs) have achieved enormous success ...

0 Jinfeng Li, et al. ∙

∙ 12/05/2020

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising

In e-commerce advertising, the ad platform usually relies on auction mec...

0 Zhilin Zhang, et al. ∙

∙ 03/01/2019

ε-differential agreement: A Parallel Data Sorting Mechanism for Distributed Information Processing System

The order of the input information plays a very important role in a dist...

0 Wei Bi, et al. ∙

∙ 05/09/2018

PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening

Remote sensing image fusion (also known as pan-sharpening) aims to gener...

0 Xiangyu Liu, et al. ∙

∙ 03/13/2018

Invisible Mask: Practical Attacks on Face Recognition with Infrared

Accurate face recognition techniques make a series of critical applicati...

0 Zhe Zhou, et al. ∙

∙ 01/05/2018

Understanding Android Obfuscation Techniques: A Large-Scale Investigation in the Wild

In this paper, we seek to better understand Android obfuscation and depi...

0 Shuaike Dong, et al. ∙

∙ 11/07/2017

Remote Sensing Image Fusion Based on Two-stream Fusion Network

Remote sensing image fusion (or pan-sharpening) aims at generating high ...

0 Xiangyu Liu, et al. ∙

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