Xu He | DeepAI

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Featured Co-authors

Xin Li
301 publications
Wei Xu
242 publications
Fei Wang
209 publications
Bin Liu
139 publications
Xing Xie
128 publications
Yee Whye Teh
122 publications
Qi Li
109 publications
Razvan Pascanu
87 publications
Ruiming Tang
64 publications
Bo An
62 publications
Yu Zhu
49 publications

∙ 08/15/2023

Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System

With the continuous increase of users and items, conventional recommende...

0 Bowei He, et al. ∙

∙ 03/21/2023

Dynamically Expandable Graph Convolution for Streaming Recommendation

Personalized recommender systems have been widely studied and deployed t...

0 Bowei He, et al. ∙

∙ 05/17/2021

PPCA: Privacy-preserving Principal Component Analysis Using Secure Multiparty Computation(MPC)

Privacy-preserving data mining has become an important topic. People hav...

0 Xiaoyu Fan, et al. ∙

∙ 02/16/2021

RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents

Current value-based multi-agent reinforcement learning methods optimize ...

0 Wei Qiu, et al. ∙

∙ 12/22/2020

Personalized Adaptive Meta Learning for Cold-start User Preference Prediction

A common challenge in personalized user preference prediction is the col...

0 Runsheng Yu, et al. ∙

∙ 09/01/2020

When the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognition

Automatic speech recognition (ASR) systems have been widely deployed in ...

0 Shu Wang, et al. ∙

∙ 08/21/2020

Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication

With the rise of online e-commerce platforms, more and more customers pr...

11 Xu He, et al. ∙

∙ 08/21/2020

Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation

Online recommendation services recommend multiple commodities to users. ...

0 Xu He, et al. ∙

∙ 06/26/2020

Continual Learning from the Perspective of Compression

Connectionist models such as neural networks suffer from catastrophic fo...

0 Xu He, et al. ∙

∙ 06/07/2020

Learning Behaviors with Uncertain Human Feedback

Human feedback is widely used to train agents in many domains. However, ...

0 Xu He, et al. ∙

∙ 05/23/2020

Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving

Driving in a human-like manner is important for an autonomous vehicle to...

0 Donghao Xu, et al. ∙

∙ 11/16/2019

Learning Efficient Multi-agent Communication: An Information Bottleneck Approach

Many real-world multi-agent reinforcement learning applications require ...

0 Rundong Wang, et al. ∙

∙ 06/12/2019

Task Agnostic Continual Learning via Meta Learning

While neural networks are powerful function approximators, they suffer f...

0 Xu He, et al. ∙

∙ 05/07/2019

Sliced Latin hypercube designs with arbitrary run sizes

Latin hypercube designs achieve optimal univariate stratifications and a...

0 Jin Xu, et al. ∙

∙ 10/07/2018

CSI-Net: Unified Human Body Characterization and Action Recognition

Channel State Information (CSI) of WiFi signals becomes increasingly att...

2 Fei Wang, et al. ∙

∙ 07/06/2018

Interleaved lattice-based maximin distance designs

We propose a new method to construct maximin distance designs with arbit...

0 Xu He, et al. ∙

∙ 04/26/2018

CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model or Urban Resident Recognition

Driven by the wave of urbanization in recent decades, the research topic...

0 Jingyuan Wang, et al. ∙

∙ 08/11/2017

iTrace: An Implicit Trust Inference Method for Trust-aware Collaborative Filtering

The growth of Internet commerce has stimulated the use of collaborative ...

0 Xu He, et al. ∙

∙ 07/16/2017

Overcoming Catastrophic Interference by Conceptors

Catastrophic interference has been a major roadblock in the research of ...

0 Xu He, et al. ∙

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