Search Results for author: Zhenjie Zhang

Found 12 papers, 2 papers with code

HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks

no code implementations21 Nov 2022 Zining Zhang, Bingsheng He, Zhenjie Zhang

However, due to the gigantic search space and lack of intelligent search guidance, current auto-schedulers require hours to days of tuning time to find the best-performing tensor program for the entire neural network.

reinforcement-learning

Time Series Domain Adaptation via Sparse Associative Structure Alignment

no code implementations22 Dec 2020 Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang

To reduce the difficulty in the discovery of causal structure, we relax it to the sparse associative structure and propose a novel sparse associative structure alignment model for domain adaptation.

Domain Adaptation Time Series

Speech Fusion to Face: Bridging the Gap Between Human's Vocal Characteristics and Facial Imaging

no code implementations10 Jun 2020 Yeqi Bai, Tao Ma, Lipo Wang, Zhenjie Zhang

While deep learning technologies are now capable of generating realistic images confusing humans, the research efforts are turning to the synthesis of images for more concrete and application-specific purposes.

Image Generation

Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems

no code implementations13 Oct 2019 Zijian Li, Ruichu Cai, Kok Soon Chai, Hong Wei Ng, Hoang Dung Vu, Marianne Winslett, Tom Z. J. Fu, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang

However, the mainstream domain adaptation methods cannot achieve ideal performance on time series data, because most of them focus on static samples and even the existing time series domain adaptation methods ignore the properties of time series data, such as temporal causal mechanism.

Domain Adaptation Fault Detection +1

Causal Discovery with Cascade Nonlinear Additive Noise Models

2 code implementations23 May 2019 Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao

In this work, we propose a cascade nonlinear additive noise model to represent such causal influences--each direct causal relation follows the nonlinear additive noise model but we observe only the initial cause and final effect.

Causal Discovery

Data Driven Chiller Plant Energy Optimization with Domain Knowledge

no code implementations3 Dec 2018 Hoang Dung Vu, Kok Soon Chai, Bryan Keating, Nurislam Tursynbek, Boyan Xu, Kaige Yang, Xiaoyan Yang, Zhenjie Zhang

Refrigeration and chiller optimization is an important and well studied topic in mechanical engineering, mostly taking advantage of physical models, designed on top of over-simplified assumptions, over the equipments.

BIG-bench Machine Learning

Causal Discovery from Discrete Data using Hidden Compact Representation

no code implementations NeurIPS 2018 Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao

In this paper we make an attempt to find a way to solve this problem by assuming a two-stage causal process: the first stage maps the cause to a hidden variable of a lower cardinality, and the second stage generates the effect from the hidden representation.

Causal Discovery

An Encoder-Decoder Framework Translating Natural Language to Database Queries

no code implementations16 Nov 2017 Ruichu Cai, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang, Zijian Li, Zhihao Liang

These techniques help the neural network better focus on understanding semantics of operations in natural language and save the efforts on SQL grammar learning.

Machine Translation Management +2

SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee

no code implementations5 Jul 2017 Ruichu Cai, Zhenjie Zhang, Zhifeng Hao

We theoretically prove that SADA always reduces the scales of problems without sacrifice on accuracy, under the condition of local causal sparsity and reliable conditional independence tests.

Distributed Representations for Building Profiles of Users and Items from Text Reviews

no code implementations COLING 2016 Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang

In this paper, we propose an approach to learn distributed representations of users and items from text comments for recommendation systems.

Collaborative Filtering Decision Making +3

Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing

no code implementations7 Sep 2016 Meihua Wang, Jiaming Mai, Yun Liang, Tom Z. J. Fu, Zhenjie Zhang, Ruichu Cai

Traditional dehazing techniques, as a well studied topic in image processing, are now widely used to eliminate the haze effects from individual images.

Decision Making Robot Navigation

Convex Optimization for Linear Query Processing under Approximate Differential Privacy

1 code implementation13 Feb 2016 Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao

This paper points out that under ($\epsilon$, $\delta$)-differential privacy, the optimal solution of the above constrained optimization problem in search of a suitable strategy can be found, rather surprisingly, by solving a simple and elegant convex optimization program.

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