no code implementations • 31 May 2023 • Chulong Zhang, Jingjing Dai, Tangsheng Wang, Xuan Liu, Yinping Chan, Lin Liu, Wenfeng He, Yaoqin Xie, Xiaokun Liang
Computed tomography (CT) scans offer a detailed, three-dimensional representation of patients' internal organs.
no code implementations • 25 May 2023 • Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang
Subsequently, the probabilistic priors of the pre-trained diffusion model are incorporated into a Maximum A Posteriori (MAP) estimation framework for iteratively solving the image denoising problem.
no code implementations • 11 Feb 2023 • Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
In recent years, by utilizing optimization techniques to formulate the propagation of deep model, a variety of so-called Optimization-Derived Learning (ODL) approaches have been proposed to address diverse learning and vision tasks.
no code implementations • 16 Jun 2022 • Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
Recently, Optimization-Derived Learning (ODL) has attracted attention from learning and vision areas, which designs learning models from the perspective of optimization.
no code implementations • 20 May 2022 • Risheng Liu, Xuan Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
Gradient methods have become mainstream techniques for Bi-Level Optimization (BLO) in learning and vision fields.
no code implementations • 20 May 2022 • Risheng Liu, Jiaxin Gao, Xuan Liu, Xin Fan
In past years, the minimax type single-level optimization formulation and its variations have been widely utilized to address Generative Adversarial Networks (GANs).
1 code implementation • 11 Oct 2021 • Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
We also extend BVFSM to address BLO with additional functional constraints.
no code implementations • 4 Oct 2021 • Brian Quanz, Ajay Deshpande, Dahai Xing, Xuan Liu
Essentially, those assignments that can be predicted with high confidence can be used to shortcut, or bypass, the expensive deciding process, or else a set of most likely assignments can be used for shortlisting -- sending a much smaller set of candidates for consideration by the fulfillment deciding system.
no code implementations • 15 Jun 2021 • Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Bi-level optimization model is able to capture a wide range of complex learning tasks with practical interest.
no code implementations • 3 Jun 2021 • Vishrawas Gopalakrishnan, Sayali Navalekar, Pan Ding, Ryan Hooley, Jacob Miller, Raman Srinivasan, Ajay Deshpande, Xuan Liu, Simone Bianco, James H. Kaufman
Pandemic control measures like lock-down, restrictions on restaurants and gatherings, social-distancing have shown to be effective in curtailing the spread of COVID-19.
1 code implementation • ACL 2021 • ZiYun Wang, Xuan Liu, Peiji Yang, Shixing Liu, Zhisheng Wang
Cross-lingual text classification aims at training a classifier on the source language and transferring the knowledge to target languages, which is very useful for low-resource languages.
no code implementations • 1 Feb 2021 • S. H. Alsamhi, B. Lee, M. Guizani, N. Kumar, Y. Qiao, Xuan Liu
Currently, drones represent a promising technology for combating Coronavirus disease 2019 (COVID-19) due to the transport of goods, medical supplies to a given target location in the quarantine areas experiencing an epidemic outbreak.
Distributed, Parallel, and Cluster Computing Systems and Control Systems and Control
1 code implementation • ICCV 2021 • Haosen Liu, Xuan Liu, Jiangbo Lu, Shan Tan
It can simultaneously achieve the noise level estimation and the image prior learning directly from only a single noisy image.
no code implementations • 20 Aug 2020 • Jun Jiang, Xuan Liu, Scott Wallace, Eduardo Cotilla-Sanchez, Robert Bass, Xinghui Zhao
Phasor measurement units (PMUs) provide high-fidelity data that improve situation awareness of electric power grid operations.
no code implementations • 13 Jan 2020 • Xuan Liu, Renato Gasoto, Cagdas Onal, Jie Fu
Inspired by biological snakes, our control architecture is composed of two key modules: A deep reinforcement learning (RL) module for achieving adaptive goal-tracking behaviors with changing goals, and a central pattern generator (CPG) system with Matsuoka oscillators for generating stable and diverse locomotion patterns.
no code implementations • 28 Dec 2018 • Xuan Liu, Xiaoguang Wang, Stan Matwin
To tackle this problem, we apply the Knowledge Distillation technique to distill Deep Neural Networks into decision trees in order to attain good performance and interpretability simultaneously.
no code implementations • 5 Oct 2018 • Xuan Liu, Jie Fu
Thus, a synthesis algorithm is developed to compute optimal policies efficiently by planning with primitive actions, policies for sub-tasks, and the compositions of sub-policies, for maximizing the probability of satisfying temporal logic specifications.
no code implementations • NAACL 2018 • Xuan Liu, Di Cao, Kai Yu
Although excellent performance is obtained for large vocabulary tasks, tremendous memory consumption prohibits the use of LSTM LM in low-resource devices.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 2 Feb 2018 • Xuan Liu, Xiaoguang Wang, Stan Matwin
We attempt to address this challenge by proposing a technique called CNN-INTE to interpret deep Convolutional Neural Networks (CNN) via meta-learning.
3 code implementations • WS 2018 • Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yu-An Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang
Experiments show that human performance is well above current state-of-the-art baseline systems, leaving plenty of room for the community to make improvements.
no code implementations • EMNLP 2016 • Xiangyang Zhou, daxiang dong, Hua Wu, Shiqi Zhao, dianhai yu, Hao Tian, Xuan Liu, Rui Yan
no code implementations • 16 Oct 2015 • Chenhao Zhu, Kan Ren, Xuan Liu, Haofen Wang, Yiding Tian, Yong Yu
We present a question answering system over DBpedia, filling the gap between user information needs expressed in natural language and a structured query interface expressed in SPARQL over the underlying knowledge base (KB).