Name: Bin Liu
Type: User
Company: Zhejiang Lab
Bio: Bin's current research interests lies in theories & algorithms with respect to deep learning, Bayesian statistics, optimization, signal processing, etc.
Twitter: robinlau1981
Location: China
Blog: https://www.researchgate.net/profile/Bin-Liu-120
Bin Liu's Projects
Matlab Code to Implement the Adaptive Annealed Importance Sampling (AAIS) Algorithm
Adaptive annealed importance sampling method with application to sampling from a Rastrigin function type posterior
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models
A toy matlab code to implement the robust sequentimal Monte Carlo method developed under the framework of Bayesian Dynamic Ensemble of Multiple Models (BDEMM)
Robust particle filter based on dynamic averaging of multiple noise models
Code to implement the Runner-up Solution to the CVPR'23 SoccerNet Challenge (Ball Action Spotting Task)
A Robust Dynamic Multi-Modal Data Fusion Algorithm
Python code to implement hard sampling based task representation learning for robust offline meta RL
A RL approach to enable cost-effective, intelligent interactions between a local agent and a remote LLM
Python code to implement LLM4Teach, a policy distillation approach for teaching reinforcement learning agents with Large Language Model
Matlab code for the adaptive annealed importance sampling based marginal likelihood estimator.
Python codes to implement the PFGE algorithm
Python codes to implement the periodic stochastic weight averaging (PSWA) algorithm
Python codes to implement Q-Net, a meta-learning method for few shot medical image segmentation
Code to implement Restormer-Plus, the Runner-up Solution to the GT-RAIN Challenge (CVPR 2023 UG2+ Track 3)
Sequential Monte Carlo Method for Bayesian Multiple Testing of Pairwise Interactions among Large Number of Neurons