Bingxin Zhou

56 papers A* 5B 1Journal 43Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Self-evolving AI agents for protein discovery and directed evolution.
CoRR
Yang Tan, Lingrong Zhang, Mingchen Li, Yuanxi Yu, Bozitao Zhong, Bingxin Zhou, Nanqing Dong, Liang Hong
2025 J jnl
Bridging asymmetry between image and video: Cross-modality knowledge transfer based on learning from video.
Expert Syst. Appl.
Bingxin Zhou, Jianghao Zhou, Zhongming Chen, Ziqiang Li, Long Deng, Yongxin Ge
2025 J jnl
Fast and Interpretable Protein Substructure Alignment via Optimal Transport.
CoRR
Zhiyu Wang, Bingxin Zhou, Jing Wang, Yang Tan, Weishu Zhao, Pietro Liò, Liang Hong
2025 J jnl
From high-throughput evaluation to wet-lab studies: advancing mutation effect prediction with a retrieval-enhanced model.
Bioinform.
Yang Tan, Ruilin Wang, Banghao Wu, Liang Hong, Bingxin Zhou
2025 A* conf
Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection.
ICLR
Song Li, Yang Tan, Song Ke, Liang Hong, Bingxin Zhou
2025 J jnl
ODNet: Opinion Dynamics-Inspired Neural Message Passing for Graphs and Hypergraphs.
Trans. Mach. Learn. Res.
Bingxin Zhou, Outongyi Lv, Jing Wang, Xiang Xiao, Weishu Zhao
2025 J jnl
Preserving Core Structures of Social Networks via Information Guided Multi-Step Graph Pruning.
CoRR
Yutong Hu, Bingxin Zhou, Jing Wang, Weishu Zhao, Liang Hong
2025 J jnl
Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering.
CoRR
Chen Liu, Mingchen Li, Yang Tan, Wenrui Gou, Guisheng Fan, Bingxin Zhou
2025 J jnl
Sequence-only prediction of binding affinity changes: a robust and interpretable model for antibody engineering.
Bioinform.
Chen Liu, Mingchen Li, Yang Tan, Wenrui Gou, Guisheng Fan, Bingxin Zhou
2025 J jnl
VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning.
CoRR
Yang Tan, Chen Liu, Jingyuan Gao, Banghao Wu, Mingchen Li, Ruilin Wang, Lingrong Zhang, Huiqun Yu, Guisheng Fan, Liang Hong, Bingxin Zhou
2025 — conf
VenusFactory: An Integrated System for Protein Engineering with Data Retrieval and Language Model Fine-Tuning.
ACL (3)
Yang Tan, Chen Liu, Jingyuan Gao, Banghao Wu, Mingchen Li, Ruilin Wang, Lingrong Zhang, Huiqun Yu, Guisheng Fan, Liang Hong, Bingxin Zhou
2025 J jnl
VenusX: Unlocking Fine-Grained Functional Understanding of Proteins.
CoRR
Yang Tan, Wenrui Gou, Bozitao Zhong, Liang Hong, Huiqun Yu, Bingxin Zhou
2024 J jnl
Graph Denoising With Framelet Regularizers.
IEEE Trans. Pattern Anal. Mach. Intell.
Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao
2024 J jnl
Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection.
CoRR
Song Li, Yang Tan, Song Ke, Liang Hong, Bingxin Zhou
2024 J jnl
Modeling Bellman-error with logistic distribution with applications in reinforcement learning.
Neural Networks
Outongyi Lv, Bingxin Zhou, Lin F. Yang
2024 — conf
PROTSOLM: Protein Solubility Prediction with Multi-modal Features.
BIBM
Yang Tan, Jia Zheng, Liang Hong, Bingxin Zhou
2024 A* conf
ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention.
NeurIPS
Mingchen Li, Yang Tan, Xinzhu Ma, Bozitao Zhong, Huiqun Yu, Ziyi Zhou, Wanli Ouyang, Bingxin Zhou, Pan Tan, Liang Hong
2024 J jnl
Protein Engineering with Lightweight Graph Denoising Neural Networks.
J. Chem. Inf. Model.
Bingxin Zhou, Lirong Zheng, Banghao Wu, Yang Tan, Outongyi Lv, Kai Yi, Guisheng Fan, Liang Hong
2024 — conf
Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?
BIBM
Yang Tan, Lirong Zheng, Bozitao Zhong, Liang Hong, Bingxin Zhou
2024 J jnl
Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?
CoRR
Yang Tan, Lirong Zheng, Bozitao Zhong, Liang Hong, Bingxin Zhou
2024 J jnl
Retrieval-Enhanced Mutation Mastery: Augmenting Zero-Shot Prediction of Protein Language Model.
CoRR
Yang Tan, Ruilin Wang, Banghao Wu, Liang Hong, Bingxin Zhou
2024 — conf
Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph Diffusion.
BIBM
Yutong Hu, Yang Tan, Andi Han, Lirong Zheng, Liang Hong, Bingxin Zhou
2024 J jnl
Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph Diffusion.
CoRR
Yutong Hu, Yang Tan, Andi Han, Lirong Zheng, Liang Hong, Bingxin Zhou
2024 J jnl
Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models.
CoRR
Yang Tan, Mingchen Li, Bingxin Zhou, Bozitao Zhong, Lirong Zheng, Pan Tan, Ziyi Zhou, Huiqun Yu, Guisheng Fan, Liang Hong
2024 J jnl
Simple, Efficient, and Scalable Structure-Aware Adapter Boosts Protein Language Models.
J. Chem. Inf. Model.
Yang Tan, Mingchen Li, Bingxin Zhou, Bozitao Zhong, Lirong Zheng, Pan Tan, Ziyi Zhou, Huiqun Yu, Guisheng Fan, Liang Hong
2024 J jnl
Two-Stream Temporal Feature Aggregation Based on Clustering for Few-Shot Action Recognition.
IEEE Signal Process. Lett.
Long Deng, Ao Li, Bingxin Zhou, Yongxin Ge
2024 J jnl
Two-stream joint matching method based on contrastive learning for few-shot action recognition.
CoRR
Long Deng, Ziqiang Li, Bingxin Zhou, Zhongming Chen, Ao Li, Yongxin Ge
2023 J jnl
A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks.
CoRR
Outongyi Lv, Bingxin Zhou, Jing Wang, Xiang Xiao, Weishu Zhao, Lirong Zheng
2023 J jnl
Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks.
CoRR
Bingxin Zhou, Outongyi Lv, Kai Yi, Xinye Xiong, Pan Tan, Liang Hong, Yu Guang Wang
2023 J jnl
Framelet Message Passing.
CoRR
Xinliang Liu, Bingxin Zhou, Chutian Zhang, Yuguang Wang
2023 A* conf
Graph Denoising Diffusion for Inverse Protein Folding.
NeurIPS
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang
2023 J jnl
Graph Denoising Diffusion for Inverse Protein Folding.
CoRR
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Liò, Yu Guang Wang
2023 J jnl
Graph Representation Learning for Interactive Biomolecule Systems.
CoRR
Xinye Xiong, Bingxin Zhou, Yuguang Wang
2023 — conf
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images.
BIBM
Yiqing Shen, Bingxin Zhou, Xinye Xiong, Ruitian Gao, Yu Guang Wang
2023 J jnl
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning.
CoRR
Outongyi Lv, Bingxin Zhou, Yu Guang Wang
2023 J jnl
MathNet: Haar-like wavelet multiresolution analysis for graph representation learning.
Knowl. Based Syst.
Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao
2023 J jnl
Multi-level Protein Representation Learning for Blind Mutational Effect Prediction.
CoRR
Yang Tan, Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Liang Hong
2023 A* conf
Robust Graph Representation Learning for Local Corruption Recovery.
WWW
Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang
2022 — conf
APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION.
TAG-ML
Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann
2022 J jnl
Approximate Equivariance SO(3) Needlet Convolution.
CoRR
Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann
2022 J jnl
Decimated Framelet System on Graphs and Fast G-Framelet Transforms.
J. Mach. Learn. Res.
Xuebin Zheng, Bingxin Zhou, Yu Guang Wang, Xiaosheng Zhuang
2022 J jnl
Embedding Graphs on Grassmann Manifold.
CoRR
Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao
2022 J jnl
Embedding graphs on Grassmann manifold.
Neural Networks
Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao
2022 J jnl
Graph Neural Network for Local Corruption Recovery.
CoRR
Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang
2022 J jnl
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images.
CoRR
Yiqing Shen, Bingxin Zhou, Xinye Xiong, Ruitian Gao, Yu Guang Wang
2022 — conf
Well-Conditioned Spectral Transforms for Dynamic Graph Representation.
LoG
Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yuguang Wang
2021 J jnl
Graph Denoising with Framelet Regularizer.
CoRR
Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao
2021 A* conf
How Framelets Enhance Graph Neural Networks.
ICML
Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Lió, Ming Li, Guido Montúfar
2021 J jnl
How Framelets Enhance Graph Neural Networks.
CoRR
Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yu Guang Wang, Pietro Liò, Ming Li, Guido Montúfar
2021 J jnl
Manifold Optimization-Assisted Gaussian Variational Approximation.
J. Comput. Graph. Stat.
Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran, Richard Gerlach
2021 J jnl
Spectral Transform Forms Scalable Transformer.
CoRR
Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yuguang Wang
2020 J jnl
ADAMT: A Stochastic Optimization with Trend Correction Scheme.
CoRR
Bingxin Zhou, Xuebin Zheng, Junbin Gao
2020 J jnl
Decimated Framelet System on Graphs and Fast G-Framelet Transforms.
CoRR
Xuebin Zheng, Bingxin Zhou, Yu Guang Wang, Xiaosheng Zhuang
2020 J jnl
Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide.
CoRR
Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao
2020 B conf
On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods.
IJCNN
Bingxin Zhou, Xuebin Zheng, Junbin Gao
2019 J jnl
Manifold Optimisation Assisted Gaussian Variational Approximation.
CoRR
Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran, Richard Gerlach