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RuiKang OuYang
PhD student, Department of Engineering, University of Cambridge
Joined
September 2024
Names
RuiKang OuYang
(Preferred)
,
Ruikang Ouyang
Emails
****@cam.ac.uk
(Confirmed)
,
****@gmail.com
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Career & Education History
PhD student
Department of Engineering,
University of Cambridge
(cam.ac.uk)
2025
–
Present
Research Assistant
Department of Engineering,
University of Cambridge
(cam.ac.uk)
2024
–
2025
MPhil student
Department of Engineering,
University of Cambridge
(cam.ac.uk)
2023
–
2024
Undergrad student
Harbin Institute of Technology (shenzhen)
(hit.edu.cn)
2019
–
2023
Visiting student
Department of Statistics,
Oxofrd, University of Oxford
(stats.ox.ac.uk)
2022
–
2022
Advisors, Relations & Conflicts
Supervisor
José Miguel Hernández-Lobato
2024
–
Present
Project Supervisor
Gesine Reinert
2022
–
2022
Expertise
Generative models and energy-based models
2025
–
Present
Generative models for molecule/material generation
2025
–
Present
Diffusion models
,
sampling methods
,
and neural samplers
2024
–
Present
Graph Neural Network
2022
–
2023
Publications
Few-Step Boltzmann Generators via Scalable Likelihood Flow Maps
RuiKang OuYang
,
Hanlin Yu
,
Xinyue Ai
,
Yutong He
,
Nicholas Matthew Boffi
,
Pradeep Ravikumar
,
José Miguel Hernández-Lobato
,
Max Simchowitz
,
Benjamin Kurt Miller
,
Omar Chehab
SPIGM @ ICML Poster
Readers:
Everyone
A Diffusive Classification Loss for Learning Energy-based Generative Models
RuiKang OuYang
,
Louis Grenioux
,
José Miguel Hernández-Lobato
ICLR 2026 DeLTa Workshop Poster
Readers:
Everyone
BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching
RuiKang OuYang
,
Bo Qiang
,
José Miguel Hernández-Lobato
Accepted by TMLR
Readers:
Everyone
A Diffusive Classification Loss for Learning Energy-based Generative Models
Louis Grenioux
,
RuiKang OuYang
,
José Miguel Hernández-Lobato
Submitted to ICLR 2026
Readers:
Everyone
No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers
Jiajun He
,
Yuanqi Du
,
Francisco Vargas
,
Dinghuai Zhang
,
Shreyas Padhy
,
RuiKang OuYang
,
Carla P Gomes
,
José Miguel Hernández-Lobato
FPI-ICLR2025 Poster
Readers:
Everyone
Progressive Tempering Sampler with Diffusion
Severi Rissanen
,
RuiKang OuYang
,
Jiajun He
,
Wenlin Chen
,
Markus Heinonen
,
Arno Solin
,
José Miguel Hernández-Lobato
ICML 2025 poster
Readers:
Everyone
BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching
RuiKang OuYang
,
Bo Qiang
,
José Miguel Hernández-Lobato
Submitted to ICLR 2025
Readers:
Everyone
L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders
Ruikang Ouyang
,
Andrew Elliott
,
Stratis Limnios
,
Mihai Cucuringu
,
Gesine Reinert
CoRR 2024
Readers:
Everyone
L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders
Ruikang Ouyang
,
Andrew Elliott
,
Stratis Limnios
,
Mihai Cucuringu
,
Gesine Reinert
COMPLEX NETWORKS (1) 2023
Readers:
Everyone
Co-Authors
Andrew Elliott
Arno Solin
Benjamin Kurt Miller
Bo Qiang
Carla P Gomes
Dinghuai Zhang
Francisco Vargas
Gesine Reinert
Hanlin Yu
Jiajun He
José Miguel Hernández-Lobato
Louis Grenioux
Markus Heinonen
Max Simchowitz
Mihai Cucuringu
Nicholas Matthew Boffi
Omar Chehab
Pradeep Ravikumar
Severi Rissanen
Shreyas Padhy
Stratis Limnios
Wenlin Chen
Xinyue Ai
Yuanqi Du
Yutong He