Furui Liu | DeepAI

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Bo Li
461 publications
Jun Wang
360 publications
Hao Chen
339 publications
Qi Tian
238 publications
Fei Wu
174 publications
Yang Yu
155 publications
Xu Chen
155 publications
Weinan Zhang
146 publications
Pheng-Ann Heng
141 publications
Long Chen
127 publications
Dong Li
125 publications

∙ 05/25/2023

Meta Adaptive Task Sampling for Few-Domain Generalization

To ensure the out-of-distribution (OOD) generalization performance, trad...

0 Zheyan Shen, et al. ∙

∙ 03/21/2023

Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning

Semi-supervised learning (SSL) methods assume that labeled data, unlabel...

0 Yang Yu, et al. ∙

∙ 03/12/2023

Traj-MAE: Masked Autoencoders for Trajectory Prediction

Trajectory prediction has been a crucial task in building a reliable aut...

0 Hao Chen, et al. ∙

∙ 03/06/2023

DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction

Attaining the equilibrium state of a catalyst-adsorbate system is key to...

0 Bowen Wang, et al. ∙

∙ 03/03/2023

Uncertainty Estimation by Fisher Information-based Evidential Deep Learning

Uncertainty estimation is a key factor that makes deep learning reliable...

0 Danruo Deng, et al. ∙

∙ 12/20/2022

RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction

In subcellular biological research, fluorescence staining is a key techn...

0 Donghao Zhou, et al. ∙

∙ 12/04/2022

ConfounderGAN: Protecting Image Data Privacy with Causal Confounder

The success of deep learning is partly attributed to the availability of...

0 Qi Tian, et al. ∙

∙ 11/28/2022

Learning From Good Trajectories in Offline Multi-Agent Reinforcement Learning

Offline multi-agent reinforcement learning (MARL) aims to learn effectiv...

0 Qi Tian, et al. ∙

∙ 08/23/2022

Treatment Effect Estimation with Unmeasured Confounders in Data Fusion

In the presence of unmeasured confounders, we address the problem of tre...

0 Anpeng Wu, et al. ∙

∙ 07/26/2022

Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning

Deriving a good variable selection strategy in branch-and-bound is essen...

4 Zeren Huang, et al. ∙

∙ 06/20/2022

S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?

Collaborative multi-agent reinforcement learning (MARL) has been widely ...

0 Shuang Luo, et al. ∙

∙ 12/20/2021

Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth

Recent studies have shown that introducing communication between agents ...

0 Qi Tian, et al. ∙

∙ 06/02/2021

Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms

Domain generalization aims to learn knowledge invariant across different...

0 Yunqi Wang, et al. ∙

∙ 06/01/2021

Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning

Centralized Training with Decentralized Execution (CTDE) has been a popu...

0 Jiahui Li, et al. ∙

∙ 05/28/2021

Learning to Select Cuts for Efficient Mixed-Integer Programming

Cutting plane methods play a significant role in modern solvers for tack...

8 Zeren Huang, et al. ∙

∙ 12/28/2020

Causal World Models by Unsupervised Deconfounding of Physical Dynamics

The capability of imagining internally with a mental model of the world ...

9 Minne Li, et al. ∙

∙ 07/02/2020

Decoder-free Robustness Disentanglement without (Additional) Supervision

Adversarial Training (AT) is proposed to alleviate the adversarial vulne...

0 Yifei Wang, et al. ∙

∙ 04/18/2020

CausalVAE: Structured Causal Disentanglement in Variational Autoencoder

Learning disentanglement aims at finding a low dimensional representatio...

12 Mengyue Yang, et al. ∙

∙ 03/21/2018

Causal Inference on Discrete Data via Estimating Distance Correlations

In this paper, we deal with the problem of inferring causal directions w...

0 Furui Liu, et al. ∙

∙ 03/19/2018

Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures

In this paper, we study the confounder detection problem in the linear m...

0 Furui Liu, et al. ∙

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