b'Xi Liu'

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Featured Co-authors

Min Zhang
214 publications
Li Li
178 publications
Bo Liu
167 publications
Hao Yang
100 publications
Lin Ma
98 publications
Ying Chen
89 publications
Guangtao Zhai
83 publications
Rui Chen
77 publications
Danail Stoyanov
68 publications
Shuaicheng Liu
63 publications
Tao Liu
58 publications

research

∙ 09/06/2023

A Cole-Hopf transformation based fourth-order multiple-relaxation-time lattice Boltzmann model for the coupled Burgers' equations

In this work, a Cole-Hopf transformation based fourth-order multiple-rel...

0 Ying Chen, et al. ∙

research

∙ 08/25/2023

AccFlow: Backward Accumulation for Long-Range Optical Flow

Recent deep learning-based optical flow estimators have exhibited impres...

0 Guangyang Wu, et al. ∙

research

∙ 08/23/2023

The macroscopic finite-difference scheme and modified equations of the general propagation multiple-relaxation-time lattice Boltzmann model

In this paper, we first present the general propagation multiple-relaxat...

0 Ying Chen, et al. ∙

research

∙ 07/12/2023

Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking

Dividing ads ranking system into retrieval, early, and final stages is a...

0 Xuewei Wang, et al. ∙

research

∙ 05/11/2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge

The ability to automatically detect and track surgical instruments in en...

17 Aneeq Zia, et al. ∙

research

∙ 04/11/2023

AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations

Multi-task learning (MTL) aims at enhancing the performance and efficien...

0 Danwei Li, et al. ∙

research

∙ 03/31/2023

Automatic Detection of Out-of-body Frames in Surgical Videos for Privacy Protection Using Self-supervised Learning and Minimal Labels

Endoscopic video recordings are widely used in minimally invasive robot-...

0 Ziheng Wang, et al. ∙

research

∙ 12/10/2022

Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees

We revisit the domain of off-policy policy optimization in RL from the p...

0 Hsin-En Su, et al. ∙

research

∙ 12/08/2022

Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge

Timely and effective feedback within surgical training plays a critical ...

27 Aneeq Zia, et al. ∙

research

∙ 12/06/2022

Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots

Many real-world continuous control problems are in the dilemma of weighi...

0 Wei Hung, et al. ∙

research

∙ 09/27/2021

Learning from Small Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales

Motivated by the problem of learning when the number of training samples...

3 Tao Liu, et al. ∙

research

∙ 08/17/2021

A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation

Image co-segmentation has attracted a lot of attentions in computer visi...

12 Xi Liu, et al. ∙

research

∙ 06/08/2021

Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization

Bayesian optimization (BO) conventionally relies on handcrafted acquisit...

0 Bing-Jing Hsieh, et al. ∙

research

∙ 02/26/2021

Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge

Surgical data science is revolutionizing minimally invasive surgery by e...

45 Aneeq Zia, et al. ∙

research

∙ 02/22/2021

Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization

Action-constrained reinforcement learning (RL) is a widely-used approach...

0 Jyun-Li Lin, et al. ∙

research

∙ 10/08/2020

Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits

Modifying the reward-biased maximum likelihood method originally propose...

10 Yu-Heng Hung, et al. ∙

research

∙ 01/27/2020

Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning

With the explosive growth of online products and content, recommendation...

13 Xi Liu, et al. ∙

research

∙ 11/03/2019

Fresher Content or Smoother Playback? A Brownian-Approximation Framework for Scheduling Real-Time Wireless Video Streams

This paper presents a Brownian-approximation framework to optimize the q...

0 Ping-Chun Hsieh, et al. ∙

research

∙ 11/03/2019

Fresher Content or Smoother Playback? A Brownian-Approximation Framework for Real-Time Video Delivery in Wireless Networks

This paper presents a Brownian-approximation framework to optimize the q...

0 Ping-Chun Hsieh, et al. ∙

research

∙ 10/29/2019

Wasserstein F-tests and Confidence Bands for the Frèchet Regression of Density Response Curves

Data consisting of samples of probability density functions are increasi...

0 Alexander Petersen, et al. ∙

research

∙ 07/02/2019

Bandit Learning Through Biased Maximum Likelihood Estimation

We propose BMLE, a new family of bandit algorithms, that are formulated ...

0 Xi Liu, et al. ∙

research

∙ 01/14/2019

Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games

As mobile devices become more and more popular, mobile gaming has emerge...

0 Xi Liu, et al. ∙

research

∙ 11/14/2018

Streaming Network Embedding through Local Actions

Recently, considerable research attention has been paid to network embed...

0 Xi Liu, et al. ∙

research

∙ 10/29/2018

Heteroscedastic Bandits with Reneging

Although shown to be useful in many areas as models for solving sequenti...

0 Ping-Chun Hsieh, et al. ∙

research

∙ 08/20/2018

A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games

Mobile gaming has emerged as a promising market with billion-dollar reve...

0 Xi Liu, et al. ∙

research

∙ 04/13/2017

Adaptive Neighboring Selection Algorithm Based on Curvature Prediction in Manifold Learning

Recently manifold learning algorithm for dimensionality reduction attrac...

0 Lin Ma, et al. ∙

research

∙ 01/13/2017

Delay-Optimal Scheduling for Queueing Systems with Switching Overhead

We study the scheduling polices for asymptotically optimal delay in queu...

0 Ping-Chun Hsieh, et al. ∙

research

∙ 01/10/2017

Full-reference image quality assessment-based B-mode ultrasound image similarity measure

During the last decades, the number of new full-reference image quality ...

0 Kele Xu, et al. ∙

research

∙ 08/26/2016

Maximum Correntropy Unscented Filter

The unscented transformation (UT) is an efficient method to solve the st...

0 Xi Liu, et al. ∙

research

∙ 09/15/2015

Maximum Correntropy Kalman Filter

Traditional Kalman filter (KF) is derived under the well-known minimum m...

0 Badong Chen, et al. ∙

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