Search Results for author: Yan Jin

Found 11 papers, 2 papers with code

Incorporating Multi-armed Bandit with Local Search for MaxSAT

no code implementations29 Nov 2022 Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-min Li, Felip Manyà

In this paper, we propose a local search algorithm for these problems, called BandHS, which applies two multi-armed bandits to guide the search directions when escaping local optima.

Multi-Armed Bandits

Safety-critical model predictive control with control barrier function for dynamic obstacle avoidance

no code implementations21 Nov 2022 Nhat Nguyen Minh, Stephen McIlvanna, Yuzhu Sun, Yan Jin, Mien Van

We formulate the control synthesis problem as an optimal control problem that enforces control barrier function (CBF) constraints to achieve obstacle avoidance.

BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit

no code implementations14 Jan 2022 Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-min Li, Felip Manya

We address Partial MaxSAT (PMS) and Weighted PMS (WPMS), two practical generalizations of the MaxSAT problem, and propose a local search algorithm for these problems, called BandMaxSAT, that applies a multi-armed bandit model to guide the search direction.

ACE-BERT: Adversarial Cross-modal Enhanced BERT for E-commerce Retrieval

no code implementations14 Dec 2021 Boxuan Zhang, Chao Wei, Yan Jin, Weiru Zhang

In detail, ACE-BERT leverages the patch features and pixel features as image representation.

Inductive Bias Retrieval

Stochastic Item Descent Method for Large Scale Equal Circle Packing Problem

no code implementations22 Jan 2020 Kun He, Min Zhang, Jianrong Zhou, Yan Jin, Chu-min Li

Inspired by its success in deep learning, we apply the idea of SGD with batch selection of samples to a classic optimization problem in decision version.

Effective reinforcement learning based local search for the maximum k-plex problem

no code implementations13 Mar 2019 Yan Jin, John H. Drake, Una Benlic, Kun He

The maximum k-plex problem is a computationally complex problem, which emerged from graph-theoretic social network studies.

reinforcement-learning

KNPTC: Knowledge and Neural Machine Translation Powered Chinese Pinyin Typo Correction

no code implementations2 May 2018 Hengyi Cai, Xingguang Ji, Yonghao Song, Yan Jin, Yang Zhang, Mairgup Mansur, Xiaofang Zhao

In contrast to previous work, KNPTC is able to integrate explicit knowledge into NMT for pinyin typo correction, and is able to learn to correct a variety of typos without the guidance of manually selected constraints or languagespecific features.

Machine Translation NMT +1

Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion

no code implementations29 Nov 2017 Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang

We present our preliminary work to determine if patient's vocal acoustic, linguistic, and facial patterns could predict clinical ratings of depression severity, namely Patient Health Questionnaire depression scale (PHQ-8).

Feature Engineering

Prognostics of Surgical Site Infections using Dynamic Health Data

no code implementations12 Nov 2016 Chuyang Ke, Yan Jin, Heather Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang

Since existing prediction models of SSI have quite limited capacity to utilize the evolving clinical data, we develop the corresponding solution to equip these mHealth tools with decision-making capabilities for SSI prediction with a seamless assembly of several machine learning models to tackle the analytic challenges arising from the spatial-temporal data.

Decision Making Imputation +1

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