Bin Liu (0000-0002-1677-2772)

Personal information

Biography

Professor & Founding Director, Recearch Center for Applied Mathematics and Machine Intelligence, Zhejiang Lab. (Jan. 2022 - Present)
Research expert, Zhejiang Lab. (Feb. 2021 - Dec. 2021)
Senior algorithm expert, Alibaba Group. (April 2020 - Feb. 2021)
Asso. Prof., School of Computer Science, Nanjing Univ. of Posts and Telecomm. (NUPT). ( July 2014 - April 2020)
Visiting Scholar, Carnegie Mellon University (CMU). (Aug. 2016 - July 2017)
Lecturer, School of Computer Science and Technology, NUPT. (Dec. 2012 - July 2014)
Senior Engineer, Huawei Tech. Co., Ltd. (June 2012 - Dec. 2012)
Senior Research Fellow and Team Leader, Shenzhen Kuang-Chi Institute of Advanced Technology. (Nov. 2011 -
May 2012)
Research Fellow and Team Leader, Shenzhen Kuang-Chi Institute of Advanced Technology. (Sep. 2010 - Oct.2011)
Research Scholar, Duke University. (Feb. 2009 - July 2010)
Research Scholar, Statistical and Applied Mathematical Sciences Institute (SAMSI). (Feb. 2009 - March 2010)

Activities

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Zhejiang Lab: Hangzhou, Zhejiang, CN

2021-02-25 to present

Employment

Bin Liu

https://orcid.org/0000-0002-1677-2772

Personal information

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Keywords

Biography

Activities

Employment (3)

Zhejiang Lab: Hangzhou, Zhejiang, CN

Alibaba Group: Hangzhou, Zhejiang, CN

Nanjing University of posts and telecommunications: Nanjing, Jiangsu, CN

Education and qualifications (2)

Chinese Academy of Sciences: Beijing, Beijing, CN

Beijing University of Posts and Telecommunications: Beijing, Beijing, CN

Works (38)

Annealed adaptive importance sampling method in PINNs for solving high dimensional partial differential equations

FADS: Fourier-Augmentation Based Data-Shunting for Few-Shot Classification

Stochastic Weight Averaging Revisited

Robust Dynamic Multi-Modal Data Fusion: A Model Uncertainty Perspective

A Survey on Trust Modeling from a Bayesian Perspective

Posterior exploration based sequential Monte Carlo for global optimization

Online Fault-Tolerant Dynamic Event Region Detection in Sensor Networks via Trust Model

Robust particle filter by dynamic averaging of multiple noise models

Evolutionary Computation and Big Data: Key Challenges and Future Directions

Particle Filter Optimization: A Brief Introduction

Robust video object tracking via Bayesian model averaging based feature fusion

Survey on data science with population-based algorithms

Dynamic Secure Interconnection for Security Enhancement in Cloud Computing

Persymmetric adaptive detection and range estimation of a small target

Low-Latency Near-Capacity MIMO Detection Using Parallel and Hybrid QRD-MCMC Algorithm

Toward Reliable Data Analysis for Internet of Things by Bayesian Dynamic Modeling and Computation

Probabilistic Trust Evaluation with Inaccurate Reputation Reports

Bayesian Nonparametric Modeling for Rapid Design of Metamaterial Microstructures

Automated Metamaterial Design with Computer Model Emulation and Bayesian Optimization

ADAPTIVE ANNEALED IMPORTANCE SAMPLING FOR MULTIMODAL POSTERIOR EXPLORATION AND MODEL SELECTION WITH APPLICATION TO EXTRASOLAR PLANET DETECTION

Ensemble unscented Kalman filter for state inference in continuous-discrete systems

Sequential Bearings‐Only‐Tracking Initiation with Particle Filtering Method

Bayesian methods for analysis and adaptive scheduling of exoplanet observations

Instantaneous frequency tracking under model uncertainty via dynamic model averaging and particle filtering

Performance analysis of a two-stage Rao detector

Parametric adaptive radar detector with enhanced mismatched signals rejection capabilities

Multi-target tracking in clutter with sequential Monte Carlo methods

Blending Sensor Scheduling Strategy with Particle Filter to Track a Smart Target.

State space model-based trust evaluation over wireless sensor networks: an iterative particle filter approach

A bearings-only-tracking framework based on the EKF and UKF combined algorithm

A Nonlinear Kalman Filtering Algorithm For On-line Estimation With Reasonable Computing Burdens

A particle filter using SVD based sampling Kalman filter to obtain the proposal distribution

An introduction to Bayesian techniques for sensor networks

Bayesian methods for exoplanet science: Planet detection, orbit estimation, and adaptive observing

Performance Analysis of OSCA-CFAR Detector under K-distribution Clutter Edge Situation

Resolve the problem of BOT by relative movement geometry

Single-tone frequency tracking using a particle filter with improvement strategies

Smart target tracking using sensor scheduling and particle filter

Peer review (14 reviews for 10 publications/grants)