Bingxin Zhou

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 35

Top Topics

Graph Representation

Top Venues

Neural Networks

J. Comput. Graph. Stat.

Publications

Yang Tan, Lirong Zheng, Bozitao Zhong, Liang Hong, Bingxin Zhou
Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance? CoRR (2024)
Long Deng, Ziqiang Li, Bingxin Zhou, Zhongming Chen, Ao Li, Yongxin Ge
Two-stream joint matching method based on contrastive learning for few-shot action recognition. CoRR (2024)
Outongyi Lv, Bingxin Zhou, Lin F. Yang
Modeling Bellman-error with logistic distribution with applications in reinforcement learning. Neural Networks 177 (2024)
Yutong Hu, Yang Tan, Andi Han, Lirong Zheng, Liang Hong, Bingxin Zhou
Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph Diffusion. CoRR (2024)
Yang Tan, Mingchen Li, Bingxin Zhou, Bozitao Zhong, Lirong Zheng, Pan Tan, Ziyi Zhou, Huiqun Yu, Guisheng Fan, Liang Hong
Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models. CoRR (2024)
Bingxin Zhou, Lirong Zheng, Banghao Wu, Yang Tan, Outongyi Lv, Kai Yi, Guisheng Fan, Liang Hong
Protein Engineering with Lightweight Graph Denoising Neural Networks. J. Chem. Inf. Model. 64 (9) (2024)
Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao
MathNet: Haar-like wavelet multiresolution analysis for graph representation learning. Knowl. Based Syst. 273 (2023)
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang
Graph Denoising Diffusion for Inverse Protein Folding. NeurIPS (2023)
Bingxin Zhou, Outongyi Lv, Kai Yi, Xinye Xiong, Pan Tan, Liang Hong, Yu Guang Wang
Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks. CoRR (2023)
Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang
Robust Graph Representation Learning for Local Corruption Recovery. WWW (2023)
Xinliang Liu, Bingxin Zhou, Chutian Zhang, Yu Guang Wang
Framelet Message Passing. CoRR (2023)
Yiqing Shen, Bingxin Zhou, Xinye Xiong, Ruitian Gao, Yu Guang Wang
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images. BIBM (2023)
Xinye Xiong, Bingxin Zhou, Yuguang Wang
Graph Representation Learning for Interactive Biomolecule Systems. CoRR (2023)
Yang Tan, Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Liang Hong
Multi-level Protein Representation Learning for Blind Mutational Effect Prediction. CoRR (2023)
Outongyi Lv, Bingxin Zhou, Yu Guang Wang
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning. CoRR (2023)
Outongyi Lv, Bingxin Zhou, Jing Wang, Xiang Xiao, Weishu Zhao, Lirong Zheng
A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks. CoRR (2023)
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Liò, Yu Guang Wang
Graph Denoising Diffusion for Inverse Protein Folding. CoRR (2023)
Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann
Approximate Equivariance SO(3) Needlet Convolution. CoRR (2022)
Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao
Embedding Graphs on Grassmann Manifold. CoRR (2022)
Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao
Embedding graphs on Grassmann manifold. Neural Networks 152 (2022)
Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yu Guang Wang
Well-Conditioned Spectral Transforms for Dynamic Graph Representation. LoG (2022)
Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang
Graph Neural Network for Local Corruption Recovery. CoRR (2022)
Yiqing Shen, Bingxin Zhou, Xinye Xiong, Ruitian Gao, Yu Guang Wang
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images. CoRR (2022)
Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann
APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION. TAG-ML (2022)
Xuebin Zheng, Bingxin Zhou, Yu Guang Wang, Xiaosheng Zhuang
Decimated Framelet System on Graphs and Fast G-Framelet Transforms. J. Mach. Learn. Res. 23 (2022)
Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran, Richard Gerlach
Manifold Optimization-Assisted Gaussian Variational Approximation. J. Comput. Graph. Stat. 30 (4) (2021)
Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Lió, Ming Li, Guido Montúfar
How Framelets Enhance Graph Neural Networks. ICML (2021)
Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yuguang Wang
Spectral Transform Forms Scalable Transformer. CoRR (2021)
Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yu Guang Wang, Pietro Liò, Ming Li, Guido Montúfar
How Framelets Enhance Graph Neural Networks. CoRR (2021)
Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao
Graph Denoising with Framelet Regularizer. CoRR (2021)
Bingxin Zhou, Xuebin Zheng, Junbin Gao
On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods. IJCNN (2020)
Bingxin Zhou, Xuebin Zheng, Junbin Gao
ADAMT: A Stochastic Optimization with Trend Correction Scheme. CoRR (2020)
Xuebin Zheng, Bingxin Zhou, Yu Guang Wang, Xiaosheng Zhuang
Decimated Framelet System on Graphs and Fast G-Framelet Transforms. CoRR (2020)
Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao
Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide. CoRR (2020)
Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran, Richard Gerlach
Manifold Optimisation Assisted Gaussian Variational Approximation. CoRR (2019)