Use of RADARSAT-2 data to retrieve soil moisture over bare soil agricultural fields. - Nan Yin; Qigang Jiang; Shaobin Zhan (Geoinformatics, 2013)

Simulation and Analysis of Backscattering Characteristics of Soil with Row Structure. - Nan Yin; Jingwei Wang; Shaobin Zhan (GRMSE, 2015)

The establishment of model parameters for soil moisture inversion. - Nan Yin; Jingwei Wang (CISP-BMEI, 2017)

The Adaptive Discrete Cuckoo Search for Parallel Flow Shop Problem. - Lei Zhang; Nan Yin; Shaocan Wang (ISCID (2), 2017)

Open-Closed-Loop Iterative Learning Control With a Self-Adjustive Factor of the Gas Tungsten Arc Welding (GTAW) Process. - Nan Yin; Liu Hanwen; Yang Wu (IEEE Access, 2020)

Entity-Aware Biaffine Attention for Constituent Parsing. - Xinyi Bai; Nan Yin; Xiang Zhang 008; Xin Wang; Zhigang Luo (ICANN (1), 2021)

A Focally Discriminative Loss for Unsupervised Domain Adaptation. - Dongting Sun; Mengzhu Wang; Xurui Ma; Tianming Zhang; Nan Yin; Wei Yu 029; Zhigang Luo (ICONIP (1), 2021)

A cluster-based oversampling algorithm combining SMOTE and k-means for imbalanced medical data. - Zhaozhao Xu; Derong Shen; Tiezheng Nie; Yue Kou; Nan Yin; Xi Han (Inf. Sci., 2021)

Oscillation analysis of solutions of non-zero continuous linear functional equations. - Nan Yin (J. Comput. Methods Sci. Eng., 2021)

Dynamic Hypergraph Convolutional Network. - Nan Yin; Fuli Feng; Zhigang Luo; Xiang Zhang 008; Wenjie Wang 007; Xiao Luo 001; Chong Chen 002; Xian-Sheng Hua 001 (ICDE, 2022)

DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification. - Nan Yin; Li Shen 008; Baopu Li; Mengzhu Wang; Xiao Luo 001; Chong Chen 002; Zhigang Luo; Xian-Sheng Hua 001 (ACM Multimedia, 2022)

Generic Structure Extraction with Bi-Level Optimization for Graph Structure Learning. - Nan Yin; Zhigang Luo (Entropy, 2022)

Personalized Situation Adaptive Human-Vehicles-Interaction (HVI) Prediction in COVID-19 Context. - Nan Yin; Amit Kumar Singh 001; Haibin Lv (IEEE Trans. Intell. Transp. Syst., 2022)

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification. - Nan Yin; Li Shen 008; Mengzhu Wang; Long Lan; Zeyu Ma 001; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (ICML, 2023)

SA-GDA: Spectral Augmentation for Graph Domain Adaptation. - Jinhui Pang; Zixuan Wang; Jiliang Tang; Mingyan Xiao; Nan Yin (ACM Multimedia, 2023)

Asymmetrically Decentralized Federated Learning. - Qinglun Li; Miao Zhang; Nan Yin; Quanjun Yin; Li Shen 008 (CoRR, 2023)

A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning. - Yuntao Shou; Tao Meng; Wei Ai 001; Nan Yin; Keqin Li 001 (CoRR, 2023)

Dance of Channel and Sequence: An Efficient Attention-Based Approach for Multivariate Time Series Forecasting. - Haoxin Wang; Yipeng Mo; Nan Yin; Honghe Dai; Bixiong Li; Songhai Fan; Site Mo (CoRR, 2023)

Multiobjective Optimization for Vehicle Routing Optimization Problem in Low-Carbon Intelligent Transportation. - Nan Yin (IEEE Trans. Intell. Transp. Syst., 2023)

OMG: Towards Effective Graph Classification Against Label Noise. - Nan Yin; Li Shen 008; Mengzhu Wang; Xiao Luo 001; Zhigang Luo; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2023)

Dynamic Spiking Graph Neural Networks. - Nan Yin; Mengzhu Wang; Zhenghan Chen; Giulia De Masi; Huan Xiong; Bin Gu 001 (AAAI, 2024)

Uncertainty-induced Incomplete Multi-Omics Integration Network for Cancer Diagnosis. - Peipei Gao; Ling Du; Sibo Qiao; Nan Yin (BIBM, 2024)

DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption. - Nan Yin; Mengzhu Wang; Zhenghan Chen; Li Shen 008; Huan Xiong; Bin Gu 001; Xiao Luo 001 (ICLR, 2024)

Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. - Anke Tang; Li Shen 008; Yong Luo 002; Nan Yin; Lefei Zhang; Dacheng Tao (ICML, 2024)

TMODINET: A trustworthy multi-omics dynamic learning integration network for cancer diagnostic. - Ling Du; Peipei Gao; Zhuang Liu; Nan Yin; Xiaochao Wang (Comput. Biol. Chem., 2024)

Pre-insertion resistors temperature prediction based on improved WOA-SVR. - Honghe Dai; Site Mo; Haoxin Wang; Nan Yin; Songhai Fan; Bixiong Li (CoRR, 2024)

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. - Wei Ju 001; Siyu Yi; Yifan Wang 014; Zhiping Xiao 001; Zhengyang Mao; Hourun Li; Yiyang Gu; Yifang Qin; Nan Yin; Senzhang Wang; Xinwang Liu 002; Xiao Luo 001; et al. (CoRR, 2024)

Continuous Spiking Graph Neural Networks. - Nan Yin; Mengzhu Wang; Li Shen 008; Hitesh Laxmichand Patel; Baopu Li; Bin Gu 001; Huan Xiong (CoRR, 2024)

Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion. - Yuntao Shou; Tao Meng; Fuchen Zhang; Nan Yin; Keqin Li 001 (CoRR, 2024)

Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum. - Tao Meng; Fuchen Zhang; Yuntao Shou; Wei Ai 001; Nan Yin; Keqin Li 001 (CoRR, 2024)

Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs. - Quanming Yao; Yongqi Zhang; Yaqing Wang 002; Nan Yin; James Kwok; Qiang Yang 001 (CoRR, 2024)

A Survey of Stance Detection on Social Media: New Directions and Perspectives. - Bowen Zhang 005; Genan Dai; Fuqiang Niu; Nan Yin; Xiaomao Fan; Hu Huang 009 (CoRR, 2024)

Degree Distribution based Spiking Graph Networks for Domain Adaptation. - Yingxu Wang; Siwei Liu 001; Mengzhu Wang; Shangsong Liang; Nan Yin (CoRR, 2024)

DuSEGO: Dual Second-order Equivariant Graph Ordinary Differential Equation. - Yingxu Wang; Nan Yin; Mingyan Xiao; Xinhao Yi; Siwei Liu 001; Shangsong Liang (CoRR, 2024)

DiM: f-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation. - Bingli Wang; Houcheng Su; Nan Yin; Mengzhu Wang; Li Shen 008 (CoRR, 2024)

GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation. - Mengzhu Wang; Jiao Li; Houcheng Su; Nan Yin; Liang Yang 002; Shen Li (CoRR, 2024)

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation. - Houcheng Su; Mengzhu Wang; Jiao Li; Nan Yin; Liang Yang 002; Li Shen 008 (CoRR, 2024)

Graph Structure Learning with Bi-level Optimization. - Nan Yin (CoRR, 2024)

Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree Distribution. - Jiaqi Xiong; Nan Yin; Yifan Sun; Haoyang Li; Yingxu Wang; Duo Ai; Fang Pan; Shiyang Liang (CoRR, 2024)

SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification. - Yingxu Wang; Victor Liang; Nan Yin; Siwei Liu 015; Eran Segal (CoRR, 2024)

The application of geometric form in architectural interior environment design. - Nan Yin (Int. J. Inf. Commun. Technol., 2024)

Consistency-constrained unsupervised video anomaly detection framework based on Co-teaching. - Wenhao Shao; Praboda Rajapaksha; Noël Crespi; Xuechen Zhao; Mengzhu Wang; Nan Yin; Xinwang Liu 002; Zhigang Luo (Neurocomputing, 2024)

FTMLP: MLP with Feature-Temporal Block for multivariate time series forecasting. - Haoxin Wang; Yipeng Mo; Honghe Dai; Nan Yin; Songhai Fan; Bixiong Li; Site Mo (Neurocomputing, 2024)

Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations. - Yuntao Shou; Tao Meng; Wei Ai 001; Fuchen Zhang; Nan Yin; Keqin Li 001 (Inf. Fusion, 2024)

Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting. - Nan Yin; Li Shen 008; Huan Xiong; Bin Gu 001; Chong Chen 002; Xian-Sheng Hua 001; Siwei Liu 001; Xiao Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

On Expert-Machine Partnership to Predict Mortality of Congestive Heart Failure Patients. - Ofir Ben-Assuli; Tsipi Heart; Nan Yin; Robert Klempfner; Rema Padman (Inf. Syst. Manag., 2024)

SPORT: A Subgraph Perspective on Graph Classification with Label Noise. - Nan Yin; Li Shen 008; Chong Chen 002; XianSheng Hua 001; Xiao Luo 001 (ACM Trans. Knowl. Discov. Data, 2024)

Continual Learning From a Stream of APIs. - Enneng Yang; Zhenyi Wang 001; Li Shen 008; Nan Yin; Tongliang Liu; Guibing Guo; Xingwei Wang 001; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations. - Tao Meng; Yuntao Shou; Wei Ai 001; Nan Yin; Keqin Li 001 (IEEE Trans. Artif. Intell., 2024)

Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors. - Xiao Teng; Long Lan; Dingyao Chen; Kele Xu; Nan Yin (AAAI, 2025)

CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting. - Haoxin Wang; Yipeng Mo; Kunlan Xiang; Nan Yin; Honghe Dai; Bixiong Li; Songhai Fan; Site Mo (AAAI, 2025)

Nested-Refinement Metamorphosis: Reflective Evolution for Efficient Optimization of Networking Problems. - Shuhan Guo; Nan Yin; James Kwok; Quanming Yao (ACL (Findings), 2025)

A Survey on Efficient Large Language Model Training: From Data-centric Perspectives. - Junyu Luo 002; Bohan Wu; Xiao Luo 001; Zhiping Xiao 001; Yiqiao Jin; Rong-Cheng Tu; Nan Yin; Yifan Wang 014; Jingyang Yuan; Wei Ju 001; Ming Zhang 004 (ACL (1), 2025)

Learning Knowledge-diverse Experts for Long-tailed Graph Classification. - Zhengyang Mao; Wei Ju 001; Siyu Yi; Yifan Wang 014; Zhiping Xiao 001; Qingqing Long; Nan Yin; Xinwang Liu 002; Ming Zhang 004 (ACM Trans. Knowl. Discov. Data, 2025)

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization. - Yifei Cheng 002; Li Shen 008; Hao Sun 019; Nan Yin; Xiaochun Cao; Enhong Chen (CoRR, 2025)

Unsupervised Salient Object Detection on Light Field With High-Quality Synthetic Labels. - Yanfeng Zheng; Zhong Luo; Ying Cao 001; Xiaosong Yang; Weiwei Xu; Zheng Lin 005; Nan Yin; Pengjie Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

RF-KDE-QSR Model for Estimating the Scale of Epidemics. - Chuwei Liu; Jianping Huang; Siyu Chen; Jiaqi He; Shikang Du; Nan Yin; Chao Zhang; Danfeng Wang (IEEE Trans. Comput. Soc. Syst., 2025)

Graph Convolutional Mixture-of-Experts Learner Network for Long-Tailed Domain Generalization. - Mengzhu Wang; Houcheng Su; Sijia Wang; Shanshan Wang 008; Nan Yin; Li Shen 008; Long Lan; Liang Yang 002; Xiaochun Cao (IEEE Trans. Circuits Syst. Video Technol., 2025)

Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning. - Yingxu Wang; Mengzhu Wang; Zhichao Huang; Suyu Liu; Nan Yin (CoRR, 2025)

Dynamically Adaptive Reasoning via LLM-Guided MCTS for Efficient and Context-Aware KGQA. - Yingxu Wang; Shiqi Fan; Mengzhu Wang; Siyang Gao; Siwei Liu 001; Nan Yin (CoRR, 2025)

Asymmetrically Decentralized Federated Learning. - Qinglun Li; Miao Zhang; Nan Yin; Quanjun Yin; Li Shen 008; Xiaochun Cao (IEEE Trans. Computers, 2025)

Cross-attention graph neural networks for inferring gene regulatory networks with skewed degree distribution. - Jiaqi Xiong; Nan Yin; Shiyang Liang; Haoyang Li; Yingxu Wang; Duo Ai; Jingjie Wang (BMC Bioinform., 2025)