An Efficient Statistical Method for Image Noise Level Estimation. - Guangyong Chen; Fengyuan Zhu; Pheng-Ann Heng (ICCV, 2015)

From Noise Modeling to Blind Image Denoising. - Fengyuan Zhu; Guangyong Chen; Pheng-Ann Heng (CVPR, 2016)

A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction. - Fengyuan Zhu; Guangyong Chen; Pheng-Ann Heng (ICDM, 2016)

Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization. - Guangyong Chen; Fengyuan Zhu; Pheng-Ann Heng (CoRR, 2016)

Cascaded Feature Network for Semantic Segmentation of RGB-D Images. - Di Lin 002; Guangyong Chen; Daniel Cohen-Or; Pheng-Ann Heng; Hui Huang 004 (ICCV, 2017)

Learning to Aggregate Ordinal Labels by Maximizing Separating Width. - Guangyong Chen; Shengyu Zhang; Di Lin 002; Hui Huang 004; Pheng-Ann Heng (ICML, 2017)

Blind Image Denoising via Dependent Dirichlet Process Tree. - Fengyuan Zhu; Guangyong Chen; Jianye Hao; Pheng-Ann Heng (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Psrec: social recommendation with pseudo ratings. - Yitong Meng; Guangyong Chen; Jiajin Li; Shengyu Zhang 002 (RecSys, 2018)

Tracking topology structure adaptively with deep neural networks. - Xueying Shi; Guangyong Chen; Pheng-Ann Heng; Zhang Yi 001 (Neural Comput. Appl., 2018)

Efficient and Robust Emergence of Norms through Heuristic Collective Learning. - Jianye Hao; Jun Sun 001; Guangyong Chen; Zan Wang; Chao Yu 004; Zhong Ming 001 (ACM Trans. Auton. Adapt. Syst., 2018)

Large-Scale Bayesian Probabilistic Matrix Factorization with Memo-Free Distributed Variational Inference. - Guangyong Chen; Fengyuan Zhu; Pheng-Ann Heng (ACM Trans. Knowl. Discov. Data, 2018)

Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels. - Pengfei Chen 003; Benben Liao; Guangyong Chen; Shengyu Zhang 002 (ICML, 2019)

Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks. - Guangyong Chen; Pengfei Chen 003; Yujun Shi; Chang-Yu Hsieh; Benben Liao; Shengyu Zhang 002 (CoRR, 2019)

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. - Hongyao Tang; Jianye Hao; Guangyong Chen; Pengfei Chen 003; Zhaopeng Meng; Yaodong Yang 002; Li Wang (CoRR, 2019)

Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric. - Yujun Shi; Benben Liao; Guangyong Chen; Yun Liu 011; Ming-Ming Cheng; Jiashi Feng (CoRR, 2019)

Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization. - Pengfei Chen 003; Weiwen Liu; Chang-Yu Hsieh; Guangyong Chen; Shengyu Zhang 002 (CoRR, 2019)

A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR. - Pengfei Chen 003; Benben Liao; Guangyong Chen; Shengyu Zhang 002 (CoRR, 2019)

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. - Guangyong Chen; Pengfei Chen 003; Chang-Yu Hsieh; Chee-Kong Lee; Benben Liao; Renjie Liao; Weiwen Liu; Jiezhong Qiu; Qiming Sun; Jie Tang 001; Richard S. Zemel; Shengyu Zhang 002 (CoRR, 2019)

Spectral-based Graph Convolutional Network for Directed Graphs. - Yi Ma 005; Jianye Hao; Yaodong Yang 002; Han Li 005; Junqi Jin; Guangyong Chen (CoRR, 2019)

PMD: A New User Distance for Recommender Systems. - Yitong Meng; Weiwen Liu; Benben Liao; Jun Guo 008; Guangyong Chen (CoRR, 2019)

Wasserstein Collaborative Filtering for Item Cold-start Recommendation. - Yitong Meng; Guangyong Chen; Benben Liao; Jun Guo 008; Weiwen Liu (CoRR, 2019)

PMD: An Optimal Transportation-Based User Distance for Recommender Systems. - Yitong Meng; Xinyan Dai; Xiao Yan 002; James Cheng; Weiwen Liu; Jun Guo 008; Benben Liao; Guangyong Chen (ECIR (2), 2020)

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. - Yaodong Yang 002; Jianye Hao; Guangyong Chen; Hongyao Tang; Yingfeng Chen; Yujing Hu; Changjie Fan; Zhongyu Wei (ICML, 2020)

Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. - Weiwen Liu; Feng Liu 034; Ruiming Tang; Ben Liao; Guangyong Chen; Pheng-Ann Heng (PAKDD (1), 2020)

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. - Yaodong Yang 002; Jianye Hao; Ben Liao; Kun Shao; Guangyong Chen; Wulong Liu; Hongyao Tang (CoRR, 2020)

Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. - Pengfei Chen 003; Junjie Ye; Guangyong Chen; Jingwei Zhao; Pheng-Ann Heng (AAAI, 2021)

Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. - Pengfei Chen 003; Junjie Ye; Guangyong Chen; Jingwei Zhao; Pheng-Ann Heng (AAAI, 2021)

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. - Hongyao Tang; Zhaopeng Meng; Guangyong Chen; Pengfei Chen 003; Chen Chen 077; Yaodong Yang 002; Luo Zhang; Wulong Liu; Jianye Hao (AAAI, 2021)

Noise against noise: stochastic label noise helps combat inherent label noise. - Pengfei Chen 003; Guangyong Chen; Junjie Ye; Jingwei Zhao; Pheng-Ann Heng (ICLR, 2021)

Learning Regularizer for Monocular Depth Estimation with Adversarial Guidance. - Guibao Shen; Yingkui Zhang; Jialu Li; Mingqiang Wei; Qiong Wang 001; Guangyong Chen; Pheng-Ann Heng (ACM Multimedia, 2021)

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning. - Danruo Deng; Guangyong Chen; Jianye Hao; Qiong Wang 001; Pheng-Ann Heng (NeurIPS, 2021)

Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method. - Zhenxing Wu; Dejun Jiang 002; Chang-Yu Hsieh; Guangyong Chen; Ben Liao; Dong-Sheng Cao 001; Tingjun Hou (Briefings Bioinform., 2021)

Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. - Weiwen Liu; Feng Liu 034; Ruiming Tang; Ben Liao; Guangyong Chen; Pheng-Ann Heng (CoRR, 2021)

Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models. - Dejun Jiang 002; Zhenxing Wu; Chang-Yu Hsieh; Guangyong Chen; Ben Liao; Zhe Wang 041; Chao Shen 008; Dong-Sheng Cao 001; Jian Wu 001; Tingjun Hou (J. Cheminformatics, 2021)

LHNN: lattice hypergraph neural network for VLSI congestion prediction. - Bowen Wang; Guibao Shen; Dong Li 016; Jianye Hao; Wulong Liu; Yu Huang 005; Hongzhong Wu; Yibo Lin; Guangyong Chen; Pheng-Ann Heng (DAC, 2022)

Acknowledging the Unknown for Multi-label Learning with Single Positive Labels. - Donghao Zhou; Pengfei Chen 003; Qiong Wang 001; Guangyong Chen; Pheng-Ann Heng (ECCV (24), 2022)

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. - Zhongwei Wan; Yichun Yin; Wei Zhang 196; Jiaxin Shi; Lifeng Shang; Guangyong Chen; Xin Jiang 002; Qun Liu 001 (EMNLP, 2022)

Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. - Xinyi Zhou 010; Junjie Ye; Chak-Wa Pui; Kun Shao; Guangliang Zhang; Bin Wang 034; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (ICCAD, 2022)

Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations. - Yang Yu 070; Zixu Zhao; Yueming Jin; Guangyong Chen; Qi Dou 001; Pheng-Ann Heng (IROS, 2022)

Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. - Jinpeng Li 004; Guangyong Chen; Hangyu Mao; Danruo Deng; Dong Li 016; Jianye Hao; Qi Dou 001; Pheng-Ann Heng (MICCAI (3), 2022)

Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation. - Yong Cao 001; Wei Li 061; Xianzhi Li; Min Chen 003; Guangyong Chen; Long Hu; Zhengdao Li; Kai Hwang 001 (NAACL-HLT (Findings), 2022)

Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. - Yaodong Yang 002; Guangyong Chen; Weixun Wang; Xiaotian Hao; Jianye Hao; Pheng-Ann Heng (NeurIPS, 2022)

Approximate Range Thresholding. - Zhuo Zhang; Junhao Gan; Zhifeng Bao; Seyed Mohammad Hussein Kazemi; Guangyong Chen; Fengyuan Zhu (SIGMOD Conference, 2022)

MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails. - Kexin Chen 003; Guangyong Chen; Junyou Li; Yuansheng Huang; Pheng-Ann Heng (CoRR, 2022)

A Survey on Generative Diffusion Model. - Hanqun Cao; Cheng Tan 012; Zhangyang Gao; Guangyong Chen; Pheng-Ann Heng; Stan Z. Li (CoRR, 2022)

Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction. - Chen Liang; Bowen Wang; Shaogang Hao; Guangyong Chen; Pheng-Ann Heng; Xiaolong Zou (CoRR, 2022)

A Rotation-Invariant Framework for Deep Point Cloud Analysis. - Xianzhi Li; Ruihui Li; Guangyong Chen; Chi-Wing Fu; Daniel Cohen-Or; Pheng-Ann Heng (IEEE Trans. Vis. Comput. Graph., 2022)

RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction. - Donghao Zhou; Chunbin Gu; Junde Xu; Furui Liu; Qiong Wang 001; Guangyong Chen; Pheng-Ann Heng (CVPR, 2023)

Investigations on Scientific Literature Meta Information Extraction Using Large Language Models. - Menghao Guo; Fan Wu; Jinling Jiang; Xiaoran Yan; Guangyong Chen; Wenhui Li; Yunhong Zhao; Zeyi Sun 001 (ICKG, 2023)

Traj-MAE: Masked Autoencoders for Trajectory Prediction. - Hao Chen 011; Jiaze Wang; Kun Shao; Furui Liu; Jianye Hao; Chenyong Guan; Guangyong Chen; Pheng-Ann Heng (ICCV, 2023)

Research on Cyber Security Situation Awareness System Based on Knowledge Graph. - Zhiyong You; Guangyong Chen (ICISE, 2023)

Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. - Danruo Deng; Guangyong Chen; Yang Yu; Furui Liu; Pheng-Ann Heng (ICML, 2023)

Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. - Jinpeng Li 004; Hanqun Cao; Jiaze Wang; Furui Liu; Qi Dou 001; Guangyong Chen; Pheng-Ann Heng (MICCAI (5), 2023)

Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. - Jinpeng Li 004; Hanqun Cao; Jiaze Wang; Furui Liu; Qi Dou 001; Guangyong Chen; Pheng-Ann Heng (MICCAI (6), 2023)

RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. - Jing Wang 055; Mengchen Zhao; Wei Xia 001; Zhenhua Dong; Ruiming Tang; Rui Zhang 003; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (PAKDD (3), 2023)

DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. - Bowen Wang; Chen Liang; Jiaze Wang; Furui Liu; Shaogang Hao; Dong Li 016; Jianye Hao; Guangyong Chen; Xiaolong Zou; Pheng-Ann Heng (CoRR, 2023)

Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning. - Yang Yu 070; Danruo Deng; Furui Liu; Yueming Jin; Qi Dou 001; Guangyong Chen; Pheng-Ann Heng (CoRR, 2023)

DPPMask: Masked Image Modeling with Determinantal Point Processes. - Junde Xu; Zikai Lin; Donghao Zhou; Yaodong Yang 002; Xiangyun Liao; Bian Wu; Guangyong Chen; Pheng-Ann Heng (CoRR, 2023)

Towards an Automatic AI Agent for Reaction Condition Recommendation in Chemical Synthesis. - Kexin Chen 003; Junyou Li; Kunyi Wang; Yuyang Du 001; Jiahui Yu; Jiamin Lu; Lanqing Li; Jiezhong Qiu; Qun Fang; Pheng-Ann Heng; Guangyong Chen (CoRR, 2023)

Learning on topological surface and geometric structure for 3D molecular generation. - Odin Zhang; Tianyue Wang; Gaoqi Weng; Dejun Jiang 002; Ning Wang; Xiaorui Wang; Huifeng Zhao; Jialu Wu; Ercheng Wang; Guangyong Chen; Yafeng Deng; Peichen Pan; et al. (Nat. Comput. Sci., 2023)

Efficient and accurate large library ligand docking with KarmaDock. - Xujun Zhang; Odin Zhang; Chao Shen 008; Wanglin Qu; Shicheng Chen; Hanqun Cao; Yu Kang 002; Zhe Wang 041; Ercheng Wang; Jintu Zhang; Yafeng Deng; Furui Liu; et al. (Nat. Comput. Sci., 2023)

Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms. - Yunqi Wang; Furui Liu; Zhitang Chen; Yik-Chung Wu; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (IEEE Trans. Image Process., 2023)

ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling. - Odin Zhang; Jintu Zhang; Jieyu Jin; Xujun Zhang; Renling Hu; Chao Shen 008; Hanqun Cao; Hongyan Du; Yu Kang 002; Yafeng Deng; Furui Liu; Guangyong Chen; et al. (Nat. Mac. Intell., 2023)

MetaRF: attention-based random forest for reaction yield prediction with a few trails. - Kexin Chen 003; Guangyong Chen; Junyou Li; Yuansheng Huang; Ercheng Wang; Tingjun Hou; Pheng-Ann Heng (J. Cheminformatics, 2023)

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. - Bowen Wang; Chen Liang; Jiaze Wang; Jiezhong Qiu; Furui Liu; Shaogang Hao; Dong Li 016; Guangyong Chen; Xiaolong Zou; Pheng-Ann Heng (AAAI, 2024)

PointPatchMix: Point Cloud Mixing with Patch Scoring. - Yi Wang; Jiaze Wang; Jinpeng Li 004; Zixu Zhao; Guangyong Chen; Anfeng Liu; Pheng-Ann Heng (AAAI, 2024)

ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning. - Yang Yu 070; Danruo Deng; Furui Liu; Qi Dou 001; Yueming Jin; Guangyong Chen; Pheng-Ann Heng (AAAI, 2024)

SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning. - Hao Chen 011; Jiaze Wang; Ziyu Guo; Jinpeng Li 004; Donghao Zhou; Bian Wu; Chenyong Guan; Guangyong Chen; Pheng-Ann Heng (BMVC, 2024)

Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. - Donghao Zhou; Jialin Li; Jinpeng Li 004; Jiancheng Huang; Qiang Nie; Yong Liu 032; Bin-Bin Gao; Qiong Wang 001; Pheng-Ann Heng; Guangyong Chen (BMVC, 2024)

Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models. - Luozhou Wang; Guibao Shen; Wenhang Ge; Guangyong Chen; Yijun Li 001; Yingcong Chen (ECCV (47), 2024)

SLMP: A Scientific Literature Management Platform Based on Large Language Models. - Menghao Guo; Jinling Jiang; Fan Wu; Shanxin Sun; Chen Zhang; Wenhui Li; Zeyi Sun 001; Guangyong Chen; Xindong Wu 001 (ICKG, 2024)

Sample-Efficient Multiagent Reinforcement Learning with Reset Replay. - Yaodong Yang 002; Guangyong Chen; Jianye Hao; Pheng-Ann Heng (ICML, 2024)

LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery. - Kexin Chen 003; Yuyang Du 001; Tao You; Mobarakol Islam; Ziyu Guo; Yueming Jin; Guangyong Chen; Pheng-Ann Heng (ICRA, 2024)

DPPMask: Masked Image Modeling with Determinantal Point Processes. - Junde Xu; Zikai Lin; Donghao Zhou; Yaodong Yang 002; Xiangyun Liao; Qiong Wang 001; Bian Wu; Guangyong Chen; Pheng-Ann Heng (WACV, 2024)

Algorithm Improvement for Mobile Event Detection with Intelligent Tunnel Robots. - Li Wan; Zhenjiang Li; Changan Zhang; Guangyong Chen; Panming Zhao; Kewei Wu (Big Data Cogn. Comput., 2024)

siRNADiscovery: a graph neural network for siRNA efficacy prediction via deep RNA sequence analysis. - Rongzhuo Long; Ziyu Guo; Da Han; Boxiang Liu; Xudong Yuan; Guangyong Chen; Pheng-Ann Heng; Liang Zhang (Briefings Bioinform., 2024)

Comprehensive assessment of protein loop modeling programs on large-scale datasets: prediction accuracy and efficiency. - Tianyue Wang; Langcheng Wang; Xujun Zhang; Chao Shen 008; Odin Zhang; Jike Wang; Jialu Wu; Ruofan Jin; Donghao Zhou; Shicheng Chen; Liwei Liu; Xiaorui Wang; et al. (Briefings Bioinform., 2024)

An Autonomous Large Language Model Agent for Chemical Literature Data Mining. - Kexin Chen 003; Hanqun Cao; Junyou Li; Yuyang Du 001; Menghao Guo; Xin Zeng; Lanqing Li; Jiezhong Qiu; Pheng-Ann Heng; Guangyong Chen (CoRR, 2024)

SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance. - Guibao Shen; Luozhou Wang; Jiantao Lin; Wenhang Ge; Chaozhe Zhang; Xin Tao 001; Yuan Zhang 020; Pengfei Wan 001; Zhongyuan Wang 006; Guangyong Chen; Yijun Li 001; Ying-Cong Chen (CoRR, 2024)

TripletMix: Triplet Data Augmentation for 3D Understanding. - Jiaze Wang; Yi Wang; Ziyu Guo; Renrui Zhang; Donghao Zhou; Guangyong Chen; Anfeng Liu; Pheng-Ann Heng (CoRR, 2024)

SFANet: Spatial-Frequency Attention Network for Weather Forecasting. - Jiaze Wang; Hao Chen 011; Hongcan Xu; Jinpeng Li 004; Bowen Wang; Kun Shao; Furui Liu; Huaxi Chen; Guangyong Chen; Pheng-Ann Heng (CoRR, 2024)

Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries. - Chunbin Gu; Mutian He 003; Hanqun Cao; Guangyong Chen; Chang-Yu Hsieh; Pheng-Ann Heng (CoRR, 2024)

MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models. - Donghao Zhou; Jiancheng Huang; Jinbin Bai; Jiaze Wang; Hao Chen 011; Guangyong Chen; Xiaowei Hu 001; Pheng-Ann Heng (CoRR, 2024)

SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation. - Xinyi Zhou 010; Xing Li; Yingzhao Lian; Yiwen Wang; Lei Chen 031; Mingxuan Yuan; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (CoRR, 2024)

Point Cloud Understanding via Attention-Driven Contrastive Learning. - Yi Wang; Jiaze Wang; Ziyu Guo; Renrui Zhang; Donghao Zhou; Guangyong Chen; Anfeng Liu; Pheng-Ann Heng (CoRR, 2024)

Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation. - Zhongwei Wan; Xin Liu 039; Benyou Wang; Jiezhong Qiu; Boyu Li 003; Ting Guo; Guangyong Chen; Yang Wang 002 (ACM Trans. Inf. Syst., 2024)

A Survey on Generative Diffusion Models. - Hanqun Cao; Cheng Tan 012; Zhangyang Gao; Yilun Xu; Guangyong Chen; Pheng-Ann Heng; Stan Z. Li (IEEE Trans. Knowl. Data Eng., 2024)

Freeprotmap: waiting-free prediction method for protein distance map. - Jiajian Huang; Jinpeng Li; Qinchang Chen; Xia Wang; Guangyong Chen; Jin Tang (BMC Bioinform., 2024)

MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding. - Jiaze Wang; Yi Wang; Ziyu Guo; Renrui Zhang; Donghao Zhou; Guangyong Chen; Anfeng Liu; Pheng-Ann Heng (AAAI, 2025)

Circuit Synthesis based on Hierarchical Conditional Diffusion. - Xinyi Zhou 010; Xing Li; Yingzhao Lian; Yiwen Wang; Lei Chen 031; Mingxuan Yuan; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (ACM Great Lakes Symposium on VLSI, 2025)

Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer. - Yaodong Yang 002; Guangyong Chen; Hongyao Tang; Furui Liu; Danruo Deng; Pheng-Ann Heng (AAMAS, 2025)

Gated-GPS: enhancing protein-protein interaction site prediction with scalable learning and imbalance-aware optimization. - Xin Gao; Hanqun Cao; Jinpeng Li 004; Jiezhong Qiu; Guangyong Chen; Pheng-Ann Heng (Briefings Bioinform., 2025)

Multi-Scale Spatio-Temporal Transformer-Based Imbalanced Longitudinal Learning for Glaucoma Forecasting From Irregular Time Series Images. - Xikai Yang; Jian Wu; Xi Wang 013; Yuchen Yuan; Jinpeng Li 004; Guangyong Chen; Ning Li Wang; Pheng-Ann Heng (IEEE J. Biomed. Health Informatics, 2025)

Protein Inverse Folding From Structure Feedback. - Junde Xu; Zijun Gao; Xinyi Zhou 010; Jie Hu; Xingyi Cheng; Le Song; Guangyong Chen; Pheng-Ann Heng; Jiezhong Qiu (CoRR, 2025)

Excavate the potential of Single-Scale Features: A Decomposition Network for Water-Related Optical Image Enhancement. - Zheng Cheng; Wenri Wang; Guangyong Chen; Yakun Ju; Yihua Cheng; Zhisong Liu; Yanda Meng; Jintao Song (CoRR, 2025)