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2020 – today
- 2024
[c26]Jia Gong, Lin Geng Foo, Yixuan He, Hossein Rahmani, Jun Liu:
LLMs are Good Sign Language Translators. CVPR 2024: 18362-18372- [c25]Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu:
Robust Angular Synchronization via Directed Graph Neural Networks. ICLR 2024 - [c24]Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen:
Generalization Error of Graph Neural Networks in the Mean-field Regime. ICML 2024 - [c23]Holly R. Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia Ivanova, Matthew J. Hirn, Michael Perlmutter, Smita Krishnaswamy:
Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. RECOMB 2024: 235-252 - [i14]Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen:
Generalization Error of Graph Neural Networks in the Mean-field Regime. CoRR abs/2402.07025 (2024) - [i13]Jia Gong, Lin Geng Foo, Yixuan He, Hossein Rahmani, Jun Liu:
LLMs are Good Sign Language Translators. CoRR abs/2404.00925 (2024) - [i12]Guanchang Li, Wensheng Lin, Lixin Li, Yixuan He, Fucheng Yang, Zhu Han:
IRS-Assisted Lossy Communications Under Correlated Rayleigh Fading: Outage Probability Analysis and Optimization. CoRR abs/2408.06969 (2024) - [i11]Yixuan He, Lin Geng Foo, Ajmal Saeed Mian, Hossein Rahmani, Jun Jiu:
Avatar Concept Slider: Manipulate Concepts In Your Human Avatar With Fine-grained Control. CoRR abs/2408.13995 (2024) - 2023
- [c22]Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan:
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. ICLR 2023 - [c21]Yixuan He, Minsu Choi, Kyung-Ki Kim, Yong-Bin Kim:
Low-Power Counters using Pathfinding Technique. ISOCC 2023: 69-70 - [c20]Haoyu Geng
, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan:
Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations. KDD 2023: 518-530 - [c19]Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert:
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs. LoG 2023: 12 - [i10]Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan:
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. CoRR abs/2301.09474 (2023) - [i9]Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu:
Robust Angular Synchronization via Directed Graph Neural Networks. CoRR abs/2310.05842 (2023) - 2022
- [j2]Yixuan He, Xing Xu, Jingran Zhang, Fumin Shen, Yang Yang, Heng Tao Shen:
Modeling Two-Stream Correspondence for Visual Sound Separation. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3291-3302 (2022) - [c18]Yixuan He, Quan Gan, David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu:
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. ICML 2022: 8581-8612 - [c17]Yixuan He, Minsu Choi, Kyung Ki Kim, Yong-Bin Kim:
A Time-Domain Parallel Counter for Deep Learning Macro. ISOCC 2022: 346-347 - [c16]Yixuan He, Gesine Reinert, Mihai Cucuringu:
DIGRAC: Digraph Clustering Based on Flow Imbalance. LoG 2022: 21 - [c15]Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan:
CEP3: Community Event Prediction With Neural Point Process on Graph. LoG 2022: 39 - [c14]Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu:
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. LoG 2022: 40 - [c13]Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu:
SSSNET: Semi-Supervised Signed Network Clustering. SDM 2022: 244-252 - [c12]Yixuan He:
GNNs for Node Clustering in Signed and Directed Networks. WSDM 2022: 1547-1548 - [i8]Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu:
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. CoRR abs/2202.00211 (2022) - [i7]Yixuan He, Xitong Zhang, Junjie Huang, Mihai Cucuringu, Gesine Reinert:
PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs. CoRR abs/2202.10793 (2022) - [i6]Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Yupu Yang, Junchi Yan:
CEP3: Community Event Prediction with Neural Point Process on Graph. CoRR abs/2205.10624 (2022) - [i5]Yixuan He, Michael Perlmutter, Gesine Reinert, Mihai Cucuringu:
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. CoRR abs/2209.00546 (2022) - 2021
- [j1]Xing Xu, Yifan Wang, Yixuan He, Yang Yang, Alan Hanjalic, Heng Tao Shen:
Cross-Modal Hybrid Feature Fusion for Image-Sentence Matching. ACM Trans. Multim. Comput. Commun. Appl. 17(4): 127:1-127:23 (2021) - [c11]Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Guzmán López, Nicolas Collignon, Rik Sarkar:
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CIKM 2021: 4564-4573 - [c10]Yixuan He, Xing Xu, Xin Liu, Weihua Ou, Huimin Lu:
Multimodal Transformer Networks with Latent Interaction for Audio-Visual Event Localization. ICME 2021: 1-6 - [c9]Yixuan He, Minsu Choi, Kyung Ki Kim, Yong-Bin Kim:
A Time-Domain Computing-In-Memory Micro using Ring Oscillator. ISOCC 2021: 107-108 - [c8]Yixuan He, Yong-Bin Kim:
A Stray-Insensitive Low-Power Capacitive Sensor Interface with Time-Compensation Technique. MWSCAS 2021: 999-1002 - [c7]Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn:
MagNet: A Neural Network for Directed Graphs. NeurIPS 2021: 27003-27015 - [i4]Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Nicolas Collignon, Rik Sarkar:
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. CoRR abs/2104.07788 (2021) - [i3]Yixuan He, Gesine Reinert, Mihai Cucuringu:
DIGRAC: Digraph Clustering with Flow Imbalance. CoRR abs/2106.05194 (2021) - [i2]Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu:
SSSNET: Semi-Supervised Signed Network Clustering. CoRR abs/2110.06623 (2021) - 2020
- [c6]Elizabeth Amyouny, Yixuan He, Kyung Ki Kim, Yong-Bin Kim:
Peak Current Control Boost Converter with Time-Multiplex. ISOCC 2020: 105-106 - [c5]Yixuan He, Minsu Choi, Kyung Ki Kim, Yong-Bin Kim:
An Ultra-Low-Power Tunable Bump Circuit using Source-Degenerated Differential Transconductor. ISOCC 2020: 131-132 - [c4]Yixuan He, Minsu Choi, Yong-Bin Kim:
A Tunable High-Gain Low-Noise Transimpedance Amplifier for Biosensing. MWSCAS 2020: 1007-1010
2010 – 2019
- 2019
- [c3]Yixuan He, Tianyi Hu, Delu Zeng:
Scan-Flood Fill(SCAFF): An Efficient Automatic Precise Region Filling Algorithm for Complicated Regions. CVPR Workshops 2019: 761-769 - [c2]Yixuan He, Kyung Ki Kim, Yong-Bin Kim:
Evaluations of Electronic Neuron Model for Low Power VLSI Implementation. ISOCC 2019: 206-207 - [i1]Yixuan He, Tianyi Hu, Delu Zeng:
Scan-flood Fill(SCAFF): an Efficient Automatic Precise Region Filling Algorithm for Complicated Regions. CoRR abs/1906.03366 (2019) - 2018
- [c1]Yixuan He, Shuchang Tao, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Text Matching with Monte Carlo Tree Search. CCIR 2018: 41-52
Coauthor Index
aka: Gesine D. Reinert
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