Search Results for author: Lei Liu

Found 33 papers, 3 papers with code

A Dialogue-based Information Extraction System for Medical Insurance Assessment

no code implementations13 Jul 2021 Shuang Peng, Mengdi Zhou, Minghui Yang, Haitao Mi, Shaosheng Cao, Zujie Wen, Teng Xu, Hongbin Wang, Lei Liu

In the Chinese medical insurance industry, the assessor's role is essential and requires significant efforts to converse with the claimant.

Investigate the Essence of Long-Tailed Recognition from a Unified Perspective

no code implementations8 Jul 2021 Lei Liu, Li Liu

Specifically, we demonstrate that long-tailed recognition suffers from both sample number and category similarity.

Self-Supervised Learning

Memory Approximate Message Passing

no code implementations4 Jun 2021 Lei Liu, Shunqi Huang, Brian M. Kurkoski

Approximate message passing (AMP) is a low-cost iterative parameter-estimation technique for certain high-dimensional linear systems with non-Gaussian distributions.

A Systematic Investigation of KB-Text Embedding Alignment at Scale

1 code implementation ACL 2021 Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen, Yu Su

Knowledge bases (KBs) and text often contain complementary knowledge: KBs store structured knowledge that can support long range reasoning, while text stores more comprehensive and timely knowledge in an unstructured way.

Link Prediction

Few-Shot Partial-Label Learning

no code implementations2 Jun 2021 Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi

Partial-label learning (PLL) generally focuses on inducing a noise-tolerant multi-class classifier by training on overly-annotated samples, each of which is annotated with a set of labels, but only one is the valid label.

Few-Shot Learning Metric Learning +1

Extending Isolation Forest for Anomaly Detection in Big Data via K-Means

no code implementations27 Apr 2021 Md Tahmid Rahman Laskar, Jimmy Huang, Vladan Smetana, Chris Stewart, Kees Pouw, Aijun An, Stephen Chan, Lei Liu

Moreover, we evaluate our proposed model on the live streaming data and find that our proposed system can be used for real-time anomaly detection in the industrial setup.

Anomaly Detection Intrusion Detection

Pinpointing the Memory Behaviors of DNN Training

no code implementations1 Apr 2021 Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng

The training of deep neural networks (DNNs) is usually memory-hungry due to the limited device memory capacity of DNN accelerators.

An Interpretable Mapping from a Communication System to a Neural Network for Optimal Transceiver-Joint Equalization

no code implementations23 Mar 2021 Zhiqun Zhai, Hexun Jiang, Mengfan Fu, Lei Liu, Lilin Yi, Weisheng Hu, Qunbi Zhuge

In this paper, we propose a scheme that utilizes the optimization ability of artificial intelligence (AI) for optimal transceiver-joint equalization in compensating for the optical filtering impairments caused by wavelength selective switches (WSS).

Efficient electrochemical reduction of CO2 to CO by soft functional materials

no code implementations9 Feb 2021 Yanjie Hu, Jiaqi Feng, Xiangping Zhang, Hongshuai Gao, Saimeng Jin, Lei Liu, Weifeng Shen

This work provides a new strategy to design novel ILs for high efficiency electrochemical reduction of CO2 to CO.

Materials Science

A molecular dynamics simulation study on the frustrated Lewis pairs in ionic liquids

no code implementations21 Jan 2021 Xiaoqing Liu, XiaoJing Wang, Tianhao Yu, Weizhen Zhao, Lei Liu

Spatial distribution function (SDF) results show that toluene formed a continuum solvation shell, which hinders the interactions of (tBu)3P and B(C6F5)3 , while [Cnmim][NTf2] leave a relatively large empty space, which is accessible by (tBu3)P molecules, resulting in a higher probability of Lewis acids and bases interactions.

Chemical Physics

LSTM-Aided Hybrid Random Access Scheme for 6G Machine Type Communication Networks

no code implementations25 Dec 2020 Huimei Han, Fuhui Zhou, Wenchao Zhai, Lei Liu, Jinsong Wu, Ning Zhang, Jun Zhao

In this paper, an LSTM-aided hybrid random access scheme (LSTMH-RA) is proposed to support diverse quality of service (QoS) requirements in 6G machine-type communication (MTC) networks, where massive MTC (mMTC) devices and ultra-reliable low latency communications (URLLC) devices coexist.

Topological Transformations in Pentagonal 2D Materials Induced by Stone-Wales Defects

no code implementations22 Dec 2020 Yu Zheng, Duyu Chen, Lei Liu, Houlong Zhuang, Yang Jiao

We discover two distinct topological pathways through which the pentagonal Cairo tiling (P5), a structural model for single-layer $AB_2$ pyrite materials, respectively transforms into a crystalline rhombus-hexagon (C46) tiling and random rhombus-pentagon-hexagon (R456) tilings, by continuously introducing the Stone-Wales (SW) topological defects.

Soft Condensed Matter Disordered Systems and Neural Networks Materials Science

Memory AMP

no code implementations20 Dec 2020 Lei Liu, Shunqi Huang, Brian M. Kurkoski

To solve the disadvantages of AMP and OAMP/VAMP, this paper proposes a memory AMP (MAMP) framework under an orthogonality principle, which guarantees the asymptotic IID Gaussianity of estimation errors in MAMP.

Denoising

Theory of polymer diffusion in polymer-nanoparticle mixtures: effect of nanoparticle concentration and polymer length

no code implementations22 Nov 2020 Bokai Zhang, Jian Li, Juan-mei Hu, Lei Liu

The dynamics of polymer-nanoparticle (NP) mixtures, which involves multiple scales and system-specific variables, has posed a long-standing challenge on its theoretical description.

Soft Condensed Matter

Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices

no code implementations30 Oct 2020 Guangli Li, Xiu Ma, Xueying Wang, Lei Liu, Jingling Xue, Xiaobing Feng

The increasing computational cost of deep neural network models limits the applicability of intelligent applications on resource-constrained edge devices.

Network Pruning

Challenge-Aware RGBT Tracking

no code implementations ECCV 2020 Chenglong Li, Lei Liu, Andong Lu, Qing Ji, Jin Tang

RGB and thermal source data suffer from both shared and specific challenges, and how to explore and exploit them plays a critical role to represent the target appearance in RGBT tracking.

W-net: Simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network

no code implementations11 Jun 2020 Hongwei Zhao, Chengtao Peng, Lei Liu, Bin Li

To further prove the generalization property of the proposed method, we applied the trained model on the DRIONS-DB dataset for OD segmentation and on the MESSIDOR dataset for exudate segmentation.

Multi-Task Learning

Person Re-Identification via Active Hard Sample Mining

no code implementations10 Apr 2020 Xin Xu, Lei Liu, Weifeng Liu, Meng Wang, Ruimin Hu

To alleviate such a problem, we present an active hard sample mining framework via training an effective re-ID model with the least labeling efforts.

Person Re-Identification

Identification of splicing edges in tampered image based on Dichromatic Reflection Model

no code implementations9 Apr 2020 Zhe Shen, Peng Sun, Yubo Lang, Lei Liu, Silong Peng

Therefore we present a novel optic-physical method to discriminate splicing edges from natural edges in a tampered image.

PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting

no code implementations16 Jan 2020 Saeed Amirgholipour, Xiangjian He, Wenjing Jia, Dadong Wang, Lei Liu

For this purpose, a classifier evaluates the density level of the input features and then passes them to the corresponding high and low crowded DAD modules.

Crowd Counting

QoS-Aware Machine Learning-based Multiple Resources Scheduling for Microservices in Cloud Environment

no code implementations26 Nov 2019 Lei Liu

To verify the effectiveness of OSML and obtain a well-generalized model, we collect a dataset containing over 2-billion samples from 11 typical microservices running on real servers over 9 months.

Hyperspectral Image Classification Based on Adaptive Sparse Deep Network

no code implementations21 Oct 2019 Jingwen Yan, Zixin Xie, Jingyao Chen, Yinan Liu, Lei Liu

Sparse model is widely used in hyperspectral image classification. However, different of sparsity and regularization parameters has great influence on the classification results. In this paper, a novel adaptive sparse deep network based on deep architecture is proposed, which can construct the optimal sparse representation and regularization parameters by deep network. Firstly, a data flow graph is designed to represent each update iteration based on Alternating Direction Method of Multipliers (ADMM) algorithm. Forward network and Back-Propagation network are deduced. All parameters are updated by gradient descent in Back-Propagation. Then we proposed an Adaptive Sparse Deep Network. Comparing with several traditional classifiers or other algorithm for sparse model, experiment results indicate that our method achieves great improvement in HSI classification.

Classification General Classification +1

DENet: A Universal Network for Counting Crowd with Varying Densities and Scales

no code implementations17 Apr 2019 Lei Liu, Jie Jiang, Wenjing Jia, Saeed Amirgholipour, Michelle Zeibots, Xiangjian He

Counting people or objects with significantly varying scales and densities has attracted much interest from the research community and yet it remains an open problem.

Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge

no code implementations16 Dec 2018 Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng

By analyzing the characteristics of layers in DNNs, an auto-tuning neural network quantization framework for collaborative inference is proposed.

Quantization

The localization of single pulse in VLBI observation

1 code implementation21 Oct 2018 Lei Liu, Wu Jiang, Weimin Zheng, Zhen Yan, Juan Zhang, Maoli Ma, Wentao Luo

The combination of cross spectrum based detection and the localization proposed in this work then provide a thorough solution for searching single pulse in VLBI observation.

Instrumentation and Methods for Astrophysics

TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks

no code implementations22 Aug 2018 Xinyue Liu, Xiangnan Kong, Lei Liu, Kuorong Chiang

To address these issues, we study the problem of syntax-aware sequence generation with GANs, in which a collection of real sequences and a set of pre-defined grammatical rules are given to both discriminator and generator.

Image Generation

Learning a Rotation Invariant Detector with Rotatable Bounding Box

4 code implementations26 Nov 2017 Lei Liu, Zongxu Pan, Bin Lei

The existing methods are not robust to angle varies of the objects because of the use of traditional bounding box, which is a rotation variant structure for locating rotated objects.

Random Forests of Interaction Trees for Estimating Individualized Treatment Effects in Randomized Trials

no code implementations14 Sep 2017 Xiaogang Su, Annette T. Peña, Lei Liu, Richard A. Levine

Assessing heterogeneous treatment effects has become a growing interest in advancing precision medicine.

Hybrid Dirac Semimetal in CaAgBi Materials Family

no code implementations13 Jun 2017 Cong Chen, Shan-Shan Wang, Lei Liu, Zhi-Ming Yu, Xian-Lei Sheng, Ziyu Chen, Shengyuan A. Yang

Based on their formation mechanisms, Dirac points in three-dimensional systems can be classified as accidental or essential.

Materials Science

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