Zhitang Chen

Researcher

Noah’s Ark Lab, Huawei Technologies

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He is a Researcher with the Noah’s Ark Lab, Huawei Technologies, Hong Kong. His current research interests include kernel methods, deep learning, reinforcement learning, and multiagent systems and their applications to computer networks.

Papers35 papers

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Discriminative training of feed-forward and recurrent sum-product networks by extended Baum-Welch

Haonan Duan,Abdullah Rashwan,Pascal Poupart,Zhitang Chen

International Journal of Approximate Reasoning, (2020): 66-81

EIBibtex

Low Rank Directed Acyclic Graphs and Causal Structure Learning

Fang Zhuangyan, Zhu Shengyu, Zhang Jiji, Liu Yue,Chen Zhitang, He Yangbo

Bibtex

Clustering Causal Additive Noise Models

Nia Vahid Partovi, Li Xinlin,Asgharian Masoud, Hu Shoubo,Chen Zhitang, Geng Yanhui

Bibtex

Causal Discovery with Reinforcement Learning

Shengyu Zhu, Ignavier Ng,Zhitang Chen

ICLR, (2020)

EIBibtex

Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration

Xiaoxiao Wang,Xueying Guo, Jie Chuai,Zhitang Chen,Xin Liu

BigData, pp.1517-1526, (2019)

Cited by1EIBibtex

Causal Discovery by Kernel Intrinsic Invariance Measure

Chen Zhitang, Zhu Shengyu, Liu Yue, Tse Tim

Bibtex

Asymptotically Optimal One- and Two-Sample Testing with Kernels

Zhu Shengyu,Chen Biao,Chen Zhitang, Yang Pengfei

Bibtex

Masked Gradient-Based Causal Structure Learning

Ng Ignavier, Fang Zhuangyan, Zhu Shengyu,Chen Zhitang

Bibtex

A Graph Autoencoder Approach to Causal Structure Learning

Ng Ignavier, Zhu Shengyu,Chen Zhitang, Fang Zhuangyan

Bibtex

Domain Generalization via Multidomain Discriminant Analysis

Shoubo Hu,Kun Zhang,Zhitang Chen,Laiwan Chan

UAI, (2019): 101

Cited by2EIWOSBibtex

Causal Discovery with Reinforcement Learning

Shengyu Zhu,Zhitang Chen

CoRR, (2019)

Cited by1EIBibtex

A Collaborative Learning Based Approach for Parameter Configuration of Cellular Networks

Jie Chuai,Zhitang Chen, Guochen Liu,Xueying Guo,Xiaoxiao Wang,Xin Liu, Chongming Zhu, Feiyi Shen

ieee international conference computer and communications, pp.1396.0-1404.0, (2019)

Cited by3EIWOSBibtex

Recognizing Motor Imagery Between Hand and Forearm in the Same Limb in a Hybrid Brain Computer Interface Paradigm: An Online Study

Zhitang Chen,Zhongpeng Wang,Kun Wang,Weibo Yi,Hongzhi Qi

IEEE ACCESS, (2019): 59631.0-59639.0

EIBibtex

Model-free inference of diffusion networks using RKHS embeddings

Shoubo Hu,Bogdan Cautis,Zhitang Chen,Laiwan Chan, Yanhui Geng,Xiuqiang He

Data Mining and Knowledge Discovery, no. 2 (2019): 499-525

EIBibtex

Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit

Shengyu Zhu,Biao Chen,Pengfei Yang,Zhitang Chen

international conference on artificial intelligence and statistics, (2018)

Cited by3EIBibtex

Discriminative Training of Sum-Product Networks by Extended Baum-Welch

Abdullah Rashwan,Pascal Poupart,Zhitang Chen

PGM, pp.356-367, (2018)

Cited by8EIBibtex

Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models

Shoubo Hu,Zhitang Chen,Vahid Partovi Nia,Laiwan Chan, Yanhui Geng

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018)

Cited by7EIBibtex

Faster Policy Adaptation in Environments with Exogeneity: A State Augmentation Approach

Zhuoshu Li,Zhitang Chen,Pascal Poupart,Sanmay Das, Yanhui Geng

AAMAS, pp.1035-1043, (2018)

Cited by1EIBibtex

Learning-Based Joint Configuration for Cellular Networks

Xueying Guo, George Trimponias,Xiaoxiao Wang,Zhitang Chen, Yanhui Geng,Xin Liu

IEEE Internet of Things Journal, no. 6 (2018): 4283-4295

EIWOSBibtex

Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning

Thomas G. Dietterich, George Trimponias,Zhitang Chen

international conference on machine learning, (2018): 1261-1269

Cited by1EIBibtex

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Zhitang ChenBinding

Papers35 papers

Zhitang Chen