Search Results for author: Zheng Yan

Found 17 papers, 4 papers with code

TND-NAS: Towards Non-Differentiable Objectives in Differentiable Neural Architecture Search

no code implementations6 Nov 2021 Bo Lyu, Shiping Wen, Zheng Yan, Kaibo Shi, Ke Li, TingWen Huang

Differentiable architecture search has gradually become the mainstream research topic in the field of Neural Architecture Search (NAS) for its high efficiency compared with the early NAS (EA-based, RL-based) methods.

Neural Architecture Search

PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior

1 code implementation7 Feb 2021 Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang

By leveraging experience from previous tasks, meta-learning algorithms can achieve effective fast adaptation ability when encountering new tasks.


Phase Diagram of Triangular Lattice Quantum Ising Model under External Field

no code implementations27 Jan 2021 Yuan Da Liao, Han Li, Zheng Yan, Hao-Tian Wei, Wei Li, Yang Qi, Zi Yang Meng

Quantum Ising model on a triangular lattice hosts a finite temperature Berezinskii-Kosterlitz-Thouless (BKT) phase with emergent U(1) symmetry, and it will transit into an up-up-down (UUD) phase with $C_3$ symmetry breaking upon an infinitesimal external field along the longitudinal direction, but the overall phase diagram spanned by the axes of external field and temperature remains opaque due to the lack of systematic invesitgations with controlled methodologies.

Strongly Correlated Electrons Statistical Mechanics

Channel-wise Knowledge Distillation for Dense Prediction

2 code implementations ICCV 2021 Changyong Shu, Yifan Liu, Jianfei Gao, Zheng Yan, Chunhua Shen

Observing that in semantic segmentation, some layers' feature activations of each channel tend to encode saliency of scene categories (analogue to class activation mapping), we propose to align features channel-wise between the student and teacher networks.

Knowledge Distillation Semantic Segmentation

Global scheme of sweeping cluster algorithm to sample among topological sectors

no code implementations16 Nov 2020 Zheng Yan

Local constraint is closely related to the gauge field, so constrained models are usually effective low energy descriptions and important in condensed matter physics.

Statistical Mechanics Strongly Correlated Electrons

Vestigial anyon condensation in kagome quantum spin liquids

no code implementations31 Aug 2020 Yan-Cheng Wang, Zheng Yan, Chenjie Wang, Yang Qi, Zi Yang Meng

We construct a lattice model of topological order (kagome quantum spin liquids) and solve it with unbiased quantum Monte Carlo simulations.

Strongly Correlated Electrons

GenCos' Behaviors Modeling Based on Q Learning Improved by Dichotomy

no code implementations4 Aug 2020 Qiangang Jia, Zhaoyu Hu, Yiyan Li, Zheng Yan, Sijie Chen

Q learning is widely used to simulate the behaviors of generation companies (GenCos) in an electricity market.


Deep Variational Luenberger-type Observer for Stochastic Video Prediction

no code implementations12 Feb 2020 Dong Wang, Feng Zhou, Zheng Yan, Guang Yao, Zongxuan Liu, Wennan Ma, Cewu Lu

Our model builds upon an variational encoder which transforms the input video into a latent feature space and a Luenberger-type observer which captures the dynamic evolution of the latent features.

Representation Learning Video Prediction

Enjoy the Untrusted Cloud: A Secure, Scalable and Efficient SQL-like Query Framework for Outsourcing Data

no code implementations18 Dec 2019 Yaxing Chen, Qinghua Zheng, Dan Liu, Zheng Yan, Wenhai Sun, Ning Zhang, Wenjing Lou, Y. Thomas Hou

On one hand, such work lacks of supporting scalable access control over multiple data users.

Cryptography and Security Databases Distributed, Parallel, and Cluster Computing

DOB-Net: Actively Rejecting Unknown Excessive Time-Varying Disturbances

no code implementations10 Jul 2019 Tianming Wang, Wen-jie Lu, Zheng Yan, Dikai Liu

This paper presents an observer-integrated Reinforcement Learning (RL) approach, called Disturbance OBserver Network (DOB-Net), for robots operating in environments where disturbances are unknown and time-varying, and may frequently exceed robot control capabilities.

Reinforcement Learning (RL)

An Empirical Comparison of FAISS and FENSHSES for Nearest Neighbor Search in Hamming Space

no code implementations24 Jun 2019 Cun Mu, Binwei Yang, Zheng Yan

In this paper, we compare the performances of FAISS and FENSHSES on nearest neighbor search in Hamming space--a fundamental task with ubiquitous applications in nowadays eCommerce.

Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines

no code implementations20 Feb 2019 Cun Mu, Jun Zhao, Guang Yang, Binwei Yang, Zheng Yan

A growing interest has been witnessed recently from both academia and industry in building nearest neighbor search (NNS) solutions on top of full-text search engines.

Information Retrieval Representation Learning +1

Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting

3 code implementations22 Dec 2018 Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng, Guangquan Zhang

We cast the weather forecasting problem as an end-to-end deep learning problem and solve it by proposing a novel negative log-likelihood error (NLE) loss function.

BIG-bench Machine Learning Weather Forecasting

Towards Practical Visual Search Engine within Elasticsearch

no code implementations23 Jun 2018 Cun Mu, Jun Zhao, Guang Yang, Jing Zhang, Zheng Yan

In this paper, we describe our end-to-end content-based image retrieval system built upon Elasticsearch, a well-known and popular textual search engine.

Content-Based Image Retrieval Retrieval

Revisiting Skip-Gram Negative Sampling Model with Rectification

no code implementations1 Apr 2018 Cun Mu, Guang Yang, Zheng Yan

We revisit skip-gram negative sampling (SGNS), one of the most popular neural-network based approaches to learning distributed word representation.

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