Search Results for author: Xi Lin

Found 13 papers, 3 papers with code

Pareto Set Learning for Neural Multi-objective Combinatorial Optimization

1 code implementation29 Mar 2022 Xi Lin, Zhiyuan Yang, Qingfu Zhang

In this work, we generalize the idea of neural combinatorial optimization, and develop a learning-based approach to approximate the whole Pareto set for a given MOCO problem without further search procedure.

Combinatorial Optimization Traveling Salesman Problem

Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images

no code implementations8 Nov 2021 Jianfei Guo, Zhiyuan Yang, Xi Lin, Qingfu Zhang

By representing object instances within the same category as shape and appearance variation of a shared NeRF template, our proposed method can achieve dense shape correspondences reasoning on images for a wide range of object classes.

3D-Aware Image Synthesis Keypoint Detection

Preference Conditioned Neural Multi-objective Combinatorial Optimization

no code implementations ICLR 2022 Xi Lin, Zhiyuan Yang, Qingfu Zhang

In this work, we generalize the idea of neural combinatorial optimization, and develop a learning-based approach to approximate the whole Pareto set for a given MOCO problem without further search procedure.

Combinatorial Optimization reinforcement-learning +1

A Data-Driven Sparse Polynomial Chaos Expansion Method to Assess Probabilistic Total Transfer Capability for Power Systems with Renewables

no code implementations27 Oct 2020 Xiaoting Wang, Xiaozhe Wang, Hao Sheng, Xi Lin

The increasing uncertainty level caused by growing renewable energy sources (RES) and aging transmission networks poses a great challenge in the assessment of total transfer capability (TTC) and available transfer capability (ATC).

Superconductor-metal quantum transition at the EuO-KTaO3 interface

no code implementations23 Oct 2020 Yang Ma, Jiasen Niu, Wenyu Xing, Yunyan Yao, Ranran Cai, Jirong Sun, X. C. Xie, Xi Lin, Wei Han

Superconductivity has been one of the most fascinating quantum states of matter for over several decades.

Superconductivity Mesoscale and Nanoscale Physics Materials Science

Controllable Pareto Multi-Task Learning

no code implementations13 Oct 2020 Xi Lin, Zhiyuan Yang, Qingfu Zhang, Sam Kwong

With a fixed model capacity, the tasks would be conflicted with each other, and the system usually has to make a trade-off among learning all of them together.

Multiobjective Optimization Multi-Task Learning

Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach

no code implementations13 Feb 2020 Ke Zhang, Meng Li, Zhengchao Zhang, Xi Lin, Fang He

Multi-vehicle routing problem with soft time windows (MVRPSTW) is an indispensable constituent in urban logistics distribution systems.

Multi-agent Reinforcement Learning reinforcement-learning

Pareto Multi-Task Learning

1 code implementation NeurIPS 2019 Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong

Recently, a novel method is proposed to find one single Pareto optimal solution with good trade-off among different tasks by casting multi-task learning as multiobjective optimization.

Multiobjective Optimization Multi-Task Learning

A Keyframe-based Continuous Visual SLAM for RGB-D Cameras via Nonparametric Joint Geometric and Appearance Representation

1 code implementation2 Dec 2019 Xi Lin, Dingyi Sun, Tzu-Yuan Lin, Ryan M. Eustice, Maani Ghaffari

The experimental evaluations using publicly available RGB-D benchmarks show that the developed keyframe selection technique using continuous visual odometry outperforms its robust dense (and direct) visual odometry equivalent.

Visual Odometry

Nonlinear Collaborative Scheme for Deep Neural Networks

no code implementations4 Nov 2018 Hui-Ling Zhen, Xi Lin, Alan Z. Tang, Zhenhua Li, Qingfu Zhang, Sam Kwong

Different from them, in this paper, we aim to link the generalization ability of a deep network to optimizing a new objective function.

A Batched Scalable Multi-Objective Bayesian Optimization Algorithm

no code implementations4 Nov 2018 Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong

The proposed algorithm uses the Bayesian neural network as the scalable surrogate model.

Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism

no code implementations24 Oct 2018 Zhengchao Zhang, Meng Li, Xi Lin, Yinhai Wang, Fang He

Multistep traffic forecasting on road networks is a crucial task in successful intelligent transportation system applications.

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