GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. [paper]
Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu
Yixuan He (何奕萱)
My research interests focus on, but not limited to graph neural networks, machine learning and mathematical modelling.
I am currently a PhD student in Department of Statistics at University of Oxford, starting 2020.
It is my pleasure to be supervised by
Prof. Gesine Reinert
and Prof. Mihai Cucuringu.
In my free time, I enjoy table tennis (president and squad member of Oxford University Table Tennis Club (OUTTC)), badminton (squad member of Oxford University Badminton Club (OUBaC)), piano, photography and travelling.
Feel free to contact me if you are interested in my research or my hobbies.
Publications
Robust Angular Synchronization via Directed Graph Neural Networks. [paper]
Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu
SSSNET: Semi-Supervised Signed Network Clustering. [paper]
Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. [paper]
Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu
DIGRAC: Digraph Clustering Based on Flow Imbalance. [paper]
Yixuan He, Gesine Reinert, Mihai Cucuringu
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs. [paper]
Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert
MagNet: A Neural Network for Directed Graphs. [paper]
Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew Hirn
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. [paper]
Benedek Rozemberczki, Paul Scherer,Yixuan He, George Panagopoulos, Maria Astefanoaei, Oliver Kiss, Ferenc Beres, Nicolas Collignon, Rik Sarkar
GNNs for Node Clustering in Signed and Directed Networks. [paper]
Yixuan He
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. [paper]
Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan
Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. [paper]
Holly R Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia Ivanova, Matthew Hirn, Michael Perlmutter, Smita Krishnaswamy
Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations. [paper]
Haoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan
CEP3: Community Event Prediction with Neural Point Process on Graph. [paper]
Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan
Generalization Error of Graph Neural Networks in the Mean-field Regime. [paper]
Gholamali Aminian, Yixuan He, Gesine Reinert, Łukasz Szpruch, Samuel N Cohen
Data Study Group Final Report: Greenvest Solutions. [paper]
Peter Strong Eduardo Arnold,Jiaxin Chen, Ivan Croydon-Veleslavov, Anurag Deshpande, Tanaya Guha,Yixuan He,Ben Moseley, Gim Seng Ng, Luke Prince,Thomas Statham
Scan-flood Fill (SCAFF): an Efficient Automatic Precise Region Filling Algorithm for Complicated Regions. [paper]
Yixuan He, Tianyi Hu, Delu Zeng
Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object Segmentation. [paper]
Delu Zeng, Yixuan He, Li Liu, Zhihong Chen, Jiabin Huang, Jie Chen, John Paisley
A Model of Deforestation for Agricultural Land Clearance in the Brazilian Rainforest. [poster]
Yixuan He, Raymong Chu, Joseph McGuire, Bohan Chen, Kaiyan Peng, Christian Parkinson, Andrea Bertozzi, Stanley Osher
Patrol Strategies for Illegal Logging in the Brazilian Rainforest. [poster]
Bohan Chen, Kaiyan Peng, Yixuan He, Raymong Chu, Joseph McGuire, Christian Parkinson, Andrea Bertozzi, Stanley Osher
What's new
2024
March
- I was provided with ICLR 2024 Financial Assistance to attend ICLR 2024 by ICLR organizers.
- I was awarded the Blues Award by University of Oxford. The Blue is the highest honour granted to individual sportspeople at the University of Oxford and is a highly sought-after achievement for Oxford student athletes.
Februrary
- I was awarded the Balliol College Support Grant to complete my studies at University of Oxford.
January
- One paper got accepted by ICLR 2024.
- One paper got accepted by RECOMB 2024.
2023
December
- I was invited to serve as a reviewer for ICML2024.
November
- One paper got accepted by LoG 2023.
August
- I was invited to serve as a reviewer for ICLR2024.
- I was invited to serve as a reviewer for the journal Statistics and Computing.
July
- I was invited to serve as a program committee member for AAAI 2024.
June
- I was awarded the Floreat Grant from Balliol College on extra-curricular activities (sports).
May
- One paper got accepted by KDD 2023.
- I was elected to be the president of Oxford University Table Tennis Club (OUTTC).
March
- I was invited to serve as a reviewer for NeurIPS 2023.
- I delivered three talks at the workshop: statistical learning on LARge scale GRaphs (LARGR).
- As one of the organizers, we started the seminar series: LoG2 @ Oxford: Learning on Graphs and Geometry.
Februrary
- Three talks were accepted by the workshop: statistical learning on LARge scale GRaphs (LARGR).
January
- One paper got accepted by ICLR 2023.
2022
December
- I was invited to serve as a reviewer for ICML 2023.
- I was invited to serve as a reviewer for The Web Conference 2023 (WWW 2023).
November
- Three papers got accepted by LoG 2022.
- I was invited to serve as a reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE).
September
- I delivered a talk in the 4th IMA Conference on The Mathematical Challenges of Big Data.
- The recording for our ICML spotlight paper became available online.
July
- I was invited to serve as a program committee member for AAAI 2023.
June
- I was offered participant grant by the ICML 2022 conference.
- UC Berkeley has granted me accommodation and travel fund for Simons Institute Deep Learning Theory Workshop 2022.
- My college has granted me on the 4th IMA Conference on The Mathematical Challenges of Big Data registration.
May
- One paper was accepted at ICML 2022.
March
- I was invited to serve as a reviewer for NeurIPS 2022.
- I won the SIAM Student Travel Award to attend SDM 2022.
January
- I was invited to serve as a reviewer for ICML 2022.
- I passed my Transfer of Status for my DPhil in Statistics study at University of Oxford.
2021
December
- I won the SIGIR Student Registration Award to attend WSDM 2022.
- One paper was accepted at SDM 2022.
- I gave a talk on graph neural networks in our group meeting.
November
- I started my internship at Amazon Web Services AI Shanghai Lablet (ASAIL), working on graph neural networks.
- I was invited to serve as a reviewer for Journal of Complex Networks.
- I was invited to serve as a PC member for KDD 2022.
- I was invited to present at the WSDM 2022 Doctoral Consortium.
- One paper won the best paper award in CIKM 2021.
October
- My college has granted me on NeurIPS 2021 (Thirty-fifth Conference on Neural Information Processing Systems) registration.
- My college has granted me on Complex Networks 2021 (The 10th International Conference on Complex Networks and their Applications) registration.
- I was invited to serve as a PC member for WSDM 2022.
September
- One paper was accepted at Complex Networks 2021.
- One paper was accepted at NeurIPS 2021 (Thirty-fifth Conference on Neural Information Processing Systems).
- I was invited to serve as a sub-reviewer for Complex Networks 2021.
- My college has granted me on ACM membership and CIKM'21 registration.
August
- One paper was accepted at CIKM 2021 (Proceedings of the 30th ACM International Conference on Information and Knowledge Management).
- I was appointed as the Director of Department of Visiting Scholars in Oxford Chinese Students & Scholars Association (OXCSSA).
July
- I became a member of Liaison Department in the U8 World Innovation Summit.
2020
September
- I participated in Data Study Groups at the Alan Turing Institute, working on predicting wind speed and direction given spatial-temporal data.
August
- I was selected as Outstanding Intern to present my work for my two-months' summer intern at NetEase Games.
- I won a Royal Statistical Society Prize nominated by University of Edinburgh, receiving one year's free Graduate Statistician membership.
July
- Learning resources for Python created by my colleagues and me are publicly available: Introduction to Python and Python for Data Science.
- I was awarded Napier Medal and Gangadhar Balwant Gadgil Prize (best student in School of Mathematics at UoE) and Lawley Memorial Prize (top 1 in Mathematics & Statistics at UoE).
- I was awarded Bachelor of Science with Honours - First Class in the University of Edinburgh, major: Mathematics and Statistics.
June
- I was awarded Outstanding Graduate by School of Mathematics at SCUT and gave a talk as the student representative at the school's graduation ceremony.
- I started summer intern at NetEase Games, working on: Behaviour-based Anti-cheating in FPS Games. Supervisor: Xin Wen.
May
- Recorded videos for my Python courses are available: Introduction to Python and Python for Data Science.
March
- I was selected by the University of Oxford for a prestigious Clarendon Fund Scholarship.
Februrary
- I was invited to provide peer review for the IEEE Transactions on Image Processing.
2019
November
- I was selected to be employed as the Digital Skills Trainer - Python at the University of Edinburgh, working 7 hours a week. Course tutorials available here: Introduction to Python and Python for Data Science.
- I submitted the paper Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object Segmentation on arXiv.
September
- I was invited by Prof. Stanley Osher to deliver a seminar talk at IPAM on mathametical models on deforestation in Brazilian rainforest.
August
- I was awarded with James Ward Memorial Prize (top 1 in Mathematics & Statistics at UoE) and Arthur Erdelyi Prize (top 3 in School of Mathematics at UoE) [website]
June
- I completed my TOEFL test with 108/120.
April
- My Paper Scan-flood Fill (SCAFF): an Efficient Automatic Precise Region Filling Algorithm for Complicated Regions. was accpeted as poster presentation in workshop CEFRL at CVPR19!
- I completed my GRE Mathematics subject test with 910/990, percentile 97%.
Februrary
- I was elected as a member in UCLA (University of California, Los Angeles)-CSST, researching with Christian Parkinson, Prof. Andrea Bertozzi and Prof. Stanley Osher on modelling deforestation in Brazil
2018
December
- The univerisity's official website published an article about me![website]
November
- I was selected to be 2017-2018's one of the ten Role Model to Merit Students at South China University of Technology(华南理工大学十大三好学生标兵) and got interviewed by the university media![website]
September
- I was awarded with National Scholarship (Top 1 Student). Thanks!
- I completed my GRE general test with Verbel 157/170 + Quantitative 170/170 + Writing 5.5/6.
June
- I was awarded Grant Prize (Top 1) in 2018's Mathematics Competition of South China University of Technology (Mathematics Group)
April
- I was awarded Honorable Winner in Mathematical Contest In Modeling & Interdisciplinary Contest In Modeling, Comap. 2018
2017
November
- I was the gold medal winner of triple jump (PB: 9.68m, national level 3 athlete) in 2017's SCUT Athletics Games
October
- I won 5th place with Math Table Tennis Team in 2016's SCUT Table Tennis Tournament
- I was the gold medal winner and record breaker of 400m running in 2017's Mathematics Athletics Games
September
- I was awarded with National Scholarship (Top 1 Student). Thanks!
April
- I won 5th place with Math Badminton Team in 2017's SCUT Badminton Tournament
2016
October
- I was the gold medal winner and record breaker of long jump (PB: 4.64m, national level 3 athlete) in 2016's Mathematics Athletics Games
Get in Touch
If you are interested in my work or hobbies, feel free to get in touch with me!