![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Xi Lin 0001
Person information
- affiliation: City University of Hong Kong, Department of Computer Science, Hong Kong
- affiliation (former): Columbia University, Department of statistics, New York, NY, USA
Other persons with the same name
- Xi Lin — disambiguation page
- Xi Lin 0002 — Tsinghua University, Department of Civil Engineering, Beijing, China
- Xi Lin 0003
— Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, School of Cyber Security, China (and 1 more)
- Xi Lin 0004
— Zhengzhou University of Light Industry, School of Computer and Communication Engineering, China
- Xi Lin 0005 — Carl Zeiss Meditec AG, Shanghai, China (and 1 more)
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c10]Ping Guo
, Fei Liu
, Xi Lin
, Qingchuan Zhao
, Qingfu Zhang
:
L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks. GECCO Companion 2024: 1846-1854 - [i25]Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. CoRR abs/2401.02051 (2024) - [i24]Ping Guo, Zhiyuan Yang, Xi Lin, Qingchuan Zhao, Qingfu Zhang:
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks. CoRR abs/2401.10586 (2024) - [i23]Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang:
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks. CoRR abs/2401.15335 (2024) - [i22]Xiaoyuan Zhang, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang:
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition. CoRR abs/2402.09486 (2024) - [i21]Xiaoyuan Zhang, Xi Lin, Qingfu Zhang:
PMGDA: A Preference-based Multiple Gradient Descent Algorithm. CoRR abs/2402.09492 (2024) - [i20]Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. CoRR abs/2402.16891 (2024) - [i19]Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Smooth Tchebycheff Scalarization for Multi-Objective Optimization. CoRR abs/2402.19078 (2024) - [i18]Ping Guo, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang:
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. CoRR abs/2403.05100 (2024) - [i17]Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Self-Improved Learning for Scalable Neural Combinatorial Optimization. CoRR abs/2403.19561 (2024) - [i16]Ping Guo, Qingfu Zhang, Xi Lin:
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. CoRR abs/2404.00251 (2024) - [i15]Changliang Zhou, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. CoRR abs/2405.01906 (2024) - [i14]Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Prompt Learning for Generalized Vehicle Routing. CoRR abs/2405.12262 (2024) - [i13]Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. CoRR abs/2405.19650 (2024) - [i12]Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. CoRR abs/2407.10873 (2024) - 2023
- [c9]Ping Guo
, Qingfu Zhang
, Xi Lin
:
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. EMO 2023: 247-259 - [c8]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Continuation Path Learning for Homotopy Optimization. ICML 2023: 21288-21311 - [c7]Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang:
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. NeurIPS 2023 - [c6]Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, Qingfu Zhang:
Hypervolume Maximization: A Geometric View of Pareto Set Learning. NeurIPS 2023 - [i11]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Continuation Path Learning for Homotopy Optimization. CoRR abs/2307.12551 (2023) - [i10]Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang:
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. CoRR abs/2310.07985 (2023) - [i9]Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Large Language Model for Multi-objective Evolutionary Optimization. CoRR abs/2310.12541 (2023) - [i8]Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Qingfu Zhang:
Evolutionary Pareto Set Learning with Structure Constraints. CoRR abs/2310.20426 (2023) - 2022
- [c5]Xi Lin, Zhiyuan Yang, Qingfu Zhang:
Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. ICLR 2022 - [c4]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Pareto Set Learning for Expensive Multi-Objective Optimization. NeurIPS 2022 - [i7]Xi Lin, Zhiyuan Yang, Qingfu Zhang:
Pareto Set Learning for Neural Multi-objective Combinatorial Optimization. CoRR abs/2203.15386 (2022) - [i6]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Pareto Set Learning for Expensive Multi-Objective Optimization. CoRR abs/2210.08495 (2022) - 2021
- [i5]Jianfei Guo
, Zhiyuan Yang, Xi Lin, Qingfu Zhang:
Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images. CoRR abs/2111.04237 (2021) - 2020
- [j2]Zhenhua Li, Xi Lin
, Qingfu Zhang, Hai-Lin Liu:
Evolution strategies for continuous optimization: A survey of the state-of-the-art. Swarm Evol. Comput. 56: 100694 (2020) - [j1]Zhenhua Li
, Qingfu Zhang, Xi Lin
, Hui-Ling Zhen:
Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization. IEEE Trans. Cybern. 50(5): 2073-2083 (2020) - [i4]Xi Lin, Zhiyuan Yang, Qingfu Zhang, Sam Kwong:
Controllable Pareto Multi-Task Learning. CoRR abs/2010.06313 (2020)
2010 – 2019
- 2019
- [c3]Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong:
Pareto Multi-Task Learning. NeurIPS 2019: 12037-12047 - [i3]Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong:
Pareto Multi-Task Learning. CoRR abs/1912.12854 (2019) - 2018
- [i2]Hui-Ling Zhen, Xi Lin, Alan Z. Tang, Zhenhua Li, Qingfu Zhang, Sam Kwong:
Nonlinear Collaborative Scheme for Deep Neural Networks. CoRR abs/1811.01316 (2018) - [i1]Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong:
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm. CoRR abs/1811.01323 (2018) - 2017
- [c2]Xi Lin
, Qingfu Zhang, Sam Kwong
:
An efficient batch expensive multi-objective evolutionary algorithm based on Decomposition. CEC 2017: 1343-1349 - 2016
- [c1]Xi Lin
, Qingfu Zhang
, Sam Kwong
:
A decomposition based multiobjective evolutionary algorithm with classification. CEC 2016: 3292-3299
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-25 19:10 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint