Yixuan He

According to our database, Yixuan He authored at least 35 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Avatar Concept Slider: Manipulate Concepts In Your Human Avatar With Fine-grained Control.

Yixuan He, Lin Geng Foo, Ajmal Saeed Mian, Hossein Rahmani, Jun Jiu

CoRR, 2024

IRS-Assisted Lossy Communications Under Correlated Rayleigh Fading: Outage Probability Analysis and Optimization.

Guanchang Li, Wensheng Lin, Lixin Li, Yixuan He, Fucheng Yang, Zhu Han

CoRR, 2024

Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning.

Holly R. Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia Ivanova, Matthew J. Hirn, Michael Perlmutter, Smita Krishnaswamy

Proceedings of the Research in Computational Molecular Biology, 2024

Generalization Error of Graph Neural Networks in the Mean-field Regime.

Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust Angular Synchronization via Directed Graph Neural Networks.

Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Study to Improve Calculation Efficiency of CKKS Encoding with Parallelization.

Taichi Saito, Yixuan He, Samsul Huda, Junting Xiao, Yuta Kodera, Yasuyuki Nogami

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2024

LLMs are Good Sign Language Translators.

Jia Gong, Lin Geng Foo, Yixuan He, Hossein Rahmani, Jun Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs.

Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations.

Haoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Low-Power Counters using Pathfinding Technique.

Yixuan He, Minsu Choi, Kyung-Ki Kim, Yong-Bin Kim

Proceedings of the 20th International SoC Design Conference, 2023

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion.

Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Modeling Two-Stream Correspondence for Visual Sound Separation.

Yixuan He, Xing Xu, Jingran Zhang, Fumin Shen, Yang Yang, Heng Tao Shen

IEEE Trans. Circuits Syst. Video Technol., 2022

CEP3: Community Event Prediction with Neural Point Process on Graph.

Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Yupu Yang, Junchi Yan

CoRR, 2022

PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs.

Yixuan He, Xitong Zhang, Junjie Huang, Mihai Cucuringu, Gesine Reinert

CoRR, 2022

GNNs for Node Clustering in Signed and Directed Networks.

Yixuan He

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

SSSNET: Semi-Supervised Signed Network Clustering.

Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

CEP3: Community Event Prediction With Neural Point Process on Graph.

Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan

Proceedings of the Learning on Graphs Conference, 2022

DIGRAC: Digraph Clustering Based on Flow Imbalance.

Yixuan He, Gesine Reinert, Mihai Cucuringu

Proceedings of the Learning on Graphs Conference, 2022

MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.

Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu

Proceedings of the Learning on Graphs Conference, 2022

A Time-Domain Parallel Counter for Deep Learning Macro.

Yixuan He, Minsu Choi, Kyung Ki Kim, Yong-Bin Kim

Proceedings of the 19th International SoC Design Conference, 2022

GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks.

Yixuan He, Quan Gan, David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu

Proceedings of the International Conference on Machine Learning, 2022

2021

Cross-Modal Hybrid Feature Fusion for Image-Sentence Matching.

Xing Xu, Yifan Wang, Yixuan He, Yang Yang, Alan Hanjalic, Heng Tao Shen

ACM Trans. Multim. Comput. Commun. Appl., 2021

DIGRAC: Digraph Clustering with Flow Imbalance.

Yixuan He, Gesine Reinert, Mihai Cucuringu

CoRR, 2021

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models.

Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Nicolas Collignon, Rik Sarkar

CoRR, 2021

MagNet: A Neural Network for Directed Graphs.

Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Stray-Insensitive Low-Power Capacitive Sensor Interface with Time-Compensation Technique.

Yixuan He, Yong-Bin Kim

Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

A Time-Domain Computing-In-Memory Micro using Ring Oscillator.

Yixuan He, Minsu Choi, Kyung Ki Kim, Yong-Bin Kim

Proceedings of the 18th International SoC Design Conference, 2021

Multimodal Transformer Networks with Latent Interaction for Audio-Visual Event Localization.

Yixuan He, Xing Xu, Xin Liu, Weihua Ou, Huimin Lu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models.

Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Guzmán López, Nicolas Collignon, Rik Sarkar

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

A Tunable High-Gain Low-Noise Transimpedance Amplifier for Biosensing.

Yixuan He, Minsu Choi, Yong-Bin Kim

Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

An Ultra-Low-Power Tunable Bump Circuit using Source-Degenerated Differential Transconductor.

Yixuan He, Minsu Choi, Kyung Ki Kim, Yong-Bin Kim

Proceedings of the International SoC Design Conference, 2020

Peak Current Control Boost Converter with Time-Multiplex.

Elizabeth Amyouny, Yixuan He, Kyung Ki Kim, Yong-Bin Kim

Proceedings of the International SoC Design Conference, 2020

2019

Evaluations of Electronic Neuron Model for Low Power VLSI Implementation.

Yixuan He, Kyung Ki Kim, Yong-Bin Kim

Proceedings of the 2019 International SoC Design Conference, 2019

Scan-Flood Fill(SCAFF): An Efficient Automatic Precise Region Filling Algorithm for Complicated Regions.

Yixuan He, Tianyi Hu, Delu Zeng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Text Matching with Monte Carlo Tree Search.

Yixuan He, Shuchang Tao, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng

Proceedings of the Information Retrieval - 24th China Conference, 2018