Manifold Optimisation Assisted Gaussian Variational Approximation. - Bingxin Zhou; Junbin Gao; Minh-Ngoc Tran; Richard Gerlach (CoRR, 2019)

On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods. - Bingxin Zhou; Xuebin Zheng; Junbin Gao (IJCNN, 2020)

ADAMT: A Stochastic Optimization with Trend Correction Scheme. - Bingxin Zhou; Xuebin Zheng; Junbin Gao (CoRR, 2020)

Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide. - Xuebin Zheng; Bingxin Zhou; Ming Li 065; Yu Guang Wang 001; Junbin Gao (CoRR, 2020)

How Framelets Enhance Graph Neural Networks. - Xuebin Zheng; Bingxin Zhou; Junbin Gao; Yuguang Wang 001; Pietro Lió; Ming Li 065; Guido Montúfar (ICML, 2021)

Graph Denoising with Framelet Regularizer. - Bingxin Zhou; Ruikun Li 001; Xuebin Zheng; Yu Guang Wang 001; Junbin Gao (CoRR, 2021)

Spectral Transform Forms Scalable Transformer. - Bingxin Zhou; Xinliang Liu; Yuehua Liu; Yunying Huang; Pietro Liò; Yuguang Wang 001 (CoRR, 2021)

Manifold Optimization-Assisted Gaussian Variational Approximation. - Bingxin Zhou; Junbin Gao; Minh-Ngoc Tran; Richard Gerlach (J. Comput. Graph. Stat., 2021)

Well-Conditioned Spectral Transforms for Dynamic Graph Representation. - Bingxin Zhou; Xinliang Liu; Yuehua Liu; Yunying Huang; Pietro Liò; Yuguang Wang 001 (LoG, 2022)

APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION. - Kai Yi; Jialin Chen; Yu Guang Wang 001; Bingxin Zhou; Pietro Liò; Yanan Fan; Jan Hamann (TAG-ML, 2022)

Graph Neural Network for Local Corruption Recovery. - Bingxin Zhou; Yuanhong Jiang; Yu Guang Wang 001; Jingwei Liang; Junbin Gao; Shirui Pan; Xiaoqun Zhang (CoRR, 2022)

Decimated Framelet System on Graphs and Fast G-Framelet Transforms. - Xuebin Zheng; Bingxin Zhou; Yu Guang Wang 001; Xiaosheng Zhuang (J. Mach. Learn. Res., 2022)

Embedding graphs on Grassmann manifold. - Bingxin Zhou; Xuebin Zheng; Yu Guang Wang 001; Ming Li 065; Junbin Gao (Neural Networks, 2022)

How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images. - Yiqing Shen 003; Bingxin Zhou; Xinye Xiong; Ruitian Gao; Yu Guang Wang 001 (BIBM, 2023)

Graph Denoising Diffusion for Inverse Protein Folding. - Kai Yi; Bingxin Zhou; Yiqing Shen 003; Pietro Lió; Yuguang Wang 001 (NeurIPS, 2023)

Robust Graph Representation Learning for Local Corruption Recovery. - Bingxin Zhou; Yuanhong Jiang; Yuguang Wang 001; Jingwei Liang; Junbin Gao; Shirui Pan; Xiaoqun Zhang (WWW, 2023)

Framelet Message Passing. - Xinliang Liu; Bingxin Zhou; Chutian Zhang; Yuguang Wang 001 (CoRR, 2023)

Graph Representation Learning for Interactive Biomolecule Systems. - Xinye Xiong; Bingxin Zhou; Yuguang Wang 001 (CoRR, 2023)

Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks. - Bingxin Zhou; Outongyi Lv; Kai Yi; Xinye Xiong; Pan Tan; Liang Hong; Yu Guang Wang 001 (CoRR, 2023)

Multi-level Protein Representation Learning for Blind Mutational Effect Prediction. - Yang Tan 001; Bingxin Zhou; Yuanhong Jiang; Yu Guang Wang 001; Liang Hong (CoRR, 2023)

LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning. - Outongyi Lv; Bingxin Zhou; Yu Guang Wang 001 (CoRR, 2023)

A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks. - Outongyi Lv; Bingxin Zhou; Jing Wang; Xiang Xiao; Weishu Zhao; Lirong Zheng 005 (CoRR, 2023)

MathNet: Haar-like wavelet multiresolution analysis for graph representation learning. - Xuebin Zheng; Bingxin Zhou; Ming Li 065; Yu Guang Wang 001; Junbin Gao (Knowl. Based Syst., 2023)

Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph Diffusion. - Yutong Hu 008; Yang Tan 001; Andi Han; Lirong Zheng 005; Liang Hong; Bingxin Zhou (BIBM, 2024)

Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance? - Yang Tan 001; Lirong Zheng 005; Bozitao Zhong; Liang Hong; Bingxin Zhou (BIBM, 2024)

PROTSOLM: Protein Solubility Prediction with Multi-modal Features. - Yang Tan 001; Jia Zheng; Liang Hong; Bingxin Zhou (BIBM, 2024)

ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention. - Mingchen Li; Yang Tan 001; Xinzhu Ma; Bozitao Zhong; Huiqun Yu; Ziyi Zhou; Wanli Ouyang; Bingxin Zhou; Pan Tan; Liang Hong (NeurIPS, 2024)

Two-stream joint matching method based on contrastive learning for few-shot action recognition. - Long Deng; Ziqiang Li; Bingxin Zhou; Zhongming Chen; Ao Li; Yongxin Ge (CoRR, 2024)

Retrieval-Enhanced Mutation Mastery: Augmenting Zero-Shot Prediction of Protein Language Model. - Yang Tan 001; Ruilin Wang; Banghao Wu; Liang Hong; Bingxin Zhou (CoRR, 2024)

Simple, Efficient, and Scalable Structure-Aware Adapter Boosts Protein Language Models. - Yang Tan 001; Mingchen Li; Bingxin Zhou; Bozitao Zhong; Lirong Zheng 005; Pan Tan; Ziyi Zhou; Huiqun Yu; Guisheng Fan; Liang Hong (J. Chem. Inf. Model., 2024)

Protein Engineering with Lightweight Graph Denoising Neural Networks. - Bingxin Zhou; Lirong Zheng 005; Banghao Wu; Yang Tan 001; Outongyi Lv; Kai Yi; Guisheng Fan; Liang Hong (J. Chem. Inf. Model., 2024)

Modeling Bellman-error with logistic distribution with applications in reinforcement learning. - Outongyi Lv; Bingxin Zhou; Lin F. Yang (Neural Networks, 2024)

Two-Stream Temporal Feature Aggregation Based on Clustering for Few-Shot Action Recognition. - Long Deng; Ao Li; Bingxin Zhou; Yongxin Ge (IEEE Signal Process. Lett., 2024)

Graph Denoising With Framelet Regularizers. - Bingxin Zhou; Ruikun Li 001; Xuebin Zheng; Yu Guang Wang 001; Junbin Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection. - Song Li; Yang Tan 001; Song Ke; Liang Hong; Bingxin Zhou (ICLR, 2025)

Bridging asymmetry between image and video: Cross-modality knowledge transfer based on learning from video. - Bingxin Zhou; Jianghao Zhou; Zhongming Chen; Ziqiang Li; Long Deng; Yongxin Ge (Expert Syst. Appl., 2025)

ODNet: Opinion Dynamics-Inspired Neural Message Passing for Graphs and Hypergraphs. - Bingxin Zhou; Outongyi Lv; Jing Wang; Xiang Xiao; Weishu Zhao (Trans. Mach. Learn. Res., 2025)

VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning. - Yang Tan 001; Chen Liu; Jingyuan Gao; Banghao Wu; Mingchen Li; Ruilin Wang; Lingrong Zhang; Huiqun Yu; Guisheng Fan; Liang Hong; Bingxin Zhou (CoRR, 2025)

VenusX: Unlocking Fine-Grained Functional Understanding of Proteins. - Yang Tan 001; Wenrui Gou; Bozitao Zhong; Liang Hong; Huiqun Yu; Bingxin Zhou (CoRR, 2025)

Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering. - Chen Liu; Mingchen Li; Yang Tan 001; Wenrui Gou; Guisheng Fan; Bingxin Zhou (CoRR, 2025)