Nan Yin

91 papers A* 17Journal 65Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning.
ACM Trans. Inf. Syst.
Yuntao Shou, Tao Meng, Wei Ai, Fangze Fu, Nan Yin, Keqin Li
2026 J jnl
A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Philip S. Yu, Ming Zhang
2026 J jnl
CILF-CIAE: CLIP-driven image-language fusion for correcting inverse age estimation.
Neural Networks
Yuntao Shou, Tao Meng, Wei Ai, Nan Yin, Keqin Li
2026 J jnl
DuSEGO: Dual Second-Order Equivariant Graph Ordinary Differential Equation.
ACM Trans. Knowl. Discov. Data
Yingxu Wang, Nan Yin, Mingyan Xiao, Xinhao Yi, Siwei Liu, Shangsong Liang
2026 A* conf
KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection.
WWW
Yifan Wang, Haodong Zhang, Zhiping Xiao, Yusheng Zhao, Siyu Yi, Nan Yin, Xinwang Liu, Ming Zhang, Wei Ju
2026 A* conf
Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning.
AAAI
Yingxu Wang, Mengzhu Wang, Zhichao Huang, Suyu Liu, Nan Yin
2026 J jnl
Probability-Guided Contrastive Learning for Long-Tailed Domain Generalization.
IEEE Trans. Big Data
Mengzhu Wang, Houcheng Su, Shanshan Wang, Nan Yin, Long Lan, Liang Yang, Li Shen
2026 J jnl
Riemannian Flow Matching for Disentangled Graph Domain Adaptation.
CoRR
Yingxu Wang, Xinwang Liu, Mengzhu Wang, Siyang Gao, Nan Yin
2026 A* conf
Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing.
AAAI
Suyu Liu, Zhiguang Cao, Nan Yin, Yew-Soon Ong
2026 J jnl
USBD: Universal Structural Basis Distillation for Source-Free Graph Domain Adaptation.
CoRR
Yingxu Wang, Kunyu Zhang, Mengzhu Wang, Siyang Gao, Nan Yin
2025 — conf
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives.
ACL (1)
Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang
2025 J jnl
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives.
CoRR
Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang
2025 J jnl
Asymmetrically Decentralized Federated Learning.
IEEE Trans. Computers
Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen, Xiaochun Cao
2025 J jnl
Beyond scaleup: Knowledge-aware parsimony learning from deep networks.
AI Mag.
Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang
2025 A* conf
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting.
AAAI
Haoxin Wang, Yipeng Mo, Kunlan Xiang, Nan Yin, Honghe Dai, Bixiong Li, Songhai Fan, Site Mo
2025 A* conf
Coupling Category Alignment for Graph Domain Adaptation.
IJCAI
Nan Yin, Xiao Teng, Zhiguang Cao, Mengzhu Wang
2025 J jnl
Cross-attention graph neural networks for inferring gene regulatory networks with skewed degree distribution.
BMC Bioinform.
Jiaqi Xiong, Nan Yin, Shiyang Liang, Haoyang Li, Yingxu Wang, Duo Ai, Jingjie Wang
2025 J jnl
DREAM: A Dual Variational Framework for Unsupervised Graph Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Nan Yin, Li Shen, Mengzhu Wang, Xinwang Liu, Chong Chen, Xian-Sheng Hua
2025 J jnl
Dynamically Adaptive Reasoning via LLM-Guided MCTS for Efficient and Context-Aware KGQA.
CoRR
Yingxu Wang, Shiqi Fan, Mengzhu Wang, Siyang Gao, Siwei Liu, Nan Yin
2025 A* conf
ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation.
IJCAI
Jiao Li, Houcheng Su, Bingli Wang, Yuandong Min, Mengzhu Wang, Nan Yin, Shanshan Wang, Jingcai Guo
2025 J jnl
FOUND: Fourier-based von Mises Distribution for Robust Single Domain Generalization in Object Detection.
CoRR
Mengzhu Wang, Changyuan Deng, Shanshan Wang, Nan Yin, Long Lan, Liang Yang
2025 A* conf
Gaussian Mixture Model for Graph Domain Adaptation.
IJCAI
Mengzhu Wang, Wenhao Ren, Yu Zhang, Yanlong Fan, Dianxi Shi, Luoxi Jing, Nan Yin
2025 J jnl
Graph Convolutional Mixture-of-Experts Learner Network for Long-Tailed Domain Generalization.
IEEE Trans. Circuits Syst. Video Technol.
Mengzhu Wang, Houcheng Su, Sijia Wang, Shanshan Wang, Nan Yin, Li Shen, Long Lan, Liang Yang, Xiaochun Cao
2025 A* conf
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation.
ICML
Mengzhu Wang, Houcheng Su, Jiao Li, Chuan Li, Nan Yin, Li Shen, Jingcai Guo
2025 J jnl
Learning Knowledge-diverse Experts for Long-tailed Graph Classification.
ACM Trans. Knowl. Discov. Data
Zhengyang Mao, Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Qingqing Long, Nan Yin, Xinwang Liu, Ming Zhang
2025 J jnl
LightSAM: Parameter-Agnostic Sharpness-Aware Minimization.
CoRR
Yifei Cheng, Li Shen, Hao Sun, Nan Yin, Xiaochun Cao, Enhong Chen
2025 J jnl
Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning.
CoRR
Yingxu Wang, Mengzhu Wang, Zhichao Huang, Suyu Liu, Nan Yin
2025 — conf
Nested-Refinement Metamorphosis: Reflective Evolution for Efficient Optimization of Networking Problems.
ACL (Findings)
Shuhan Guo, Nan Yin, James Kwok, Quanming Yao
2025 J jnl
ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning.
CoRR
Yingxu Wang, Kunyu Zhang, Jiaxin Huang, Nan Yin, Siwei Liu, Eran Segal
2025 J jnl
ProtoMol: enhancing molecular property prediction via prototype-guided multimodal learning.
Briefings Bioinform.
Yingxu Wang, Kunyu Zhang, Jiaxin Huang, Nan Yin, Siwei Liu, Eran Segal
2025 J jnl
Quantifying lung growth with CT-derived intrapulmonary vascular volume: a cross-sectional study.
BMC Medical Imaging
Meijuan Shi, Peng Gao, Meng Li, Weili Yang, Nan Yin, Youmin Guo, Cong Shen
2025 J jnl
RF-KDE-QSR Model for Estimating the Scale of Epidemics.
IEEE Trans. Comput. Soc. Syst.
Chuwei Liu, Jianping Huang, Siyu Chen, Jiaqi He, Shikang Du, Nan Yin, Chao Zhang, Danfeng Wang
2025 A* conf
Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors.
AAAI
Xiao Teng, Long Lan, Dingyao Chen, Kele Xu, Nan Yin
2025 A* conf
Unified Molecule-Text Language Model with Discrete Token Representation.
IJCAI
Shuhan Guo, Yatao Bian, Ruibing Wang, Nan Yin, Zhen Wang, Quanming Yao
2025 J jnl
Unsupervised Salient Object Detection on Light Field With High-Quality Synthetic Labels.
IEEE Trans. Circuits Syst. Video Technol.
Yanfeng Zheng, Zhong Luo, Ying Cao, Xiaosong Yang, Weiwei Xu, Zheng Lin, Nan Yin, Pengjie Wang
2024 J jnl
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.
CoRR
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang
2024 J jnl
A Survey of Stance Detection on Social Media: New Directions and Perspectives.
CoRR
Bowen Zhang, Genan Dai, Fuqiang Niu, Nan Yin, Xiaomao Fan, Hu Huang
2024 J jnl
AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation.
CoRR
Houcheng Su, Mengzhu Wang, Jiao Li, Nan Yin, Liang Yang, Li Shen
2024 J jnl
Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations.
Inf. Fusion
Yuntao Shou, Tao Meng, Wei Ai, Fuchen Zhang, Nan Yin, Keqin Li
2024 J jnl
Consistency-constrained unsupervised video anomaly detection framework based on Co-teaching.
Neurocomputing
Wenhao Shao, Praboda Rajapaksha, Noël Crespi, Xuechen Zhao, Mengzhu Wang, Nan Yin, Xinwang Liu, Zhigang Luo
2024 J jnl
Continual Learning From a Stream of APIs.
IEEE Trans. Pattern Anal. Mach. Intell.
Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2024 J jnl
Continuous Spiking Graph Neural Networks.
CoRR
Nan Yin, Mengzhu Wang, Li Shen, Hitesh Laxmichand Patel, Baopu Li, Bin Gu, Huan Xiong
2024 J jnl
Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree Distribution.
CoRR
Jiaqi Xiong, Nan Yin, Yifan Sun, Haoyang Li, Yingxu Wang, Duo Ai, Fang Pan, Shiyang Liang
2024 A* conf
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption.
ICLR
Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen, Huan Xiong, Bin Gu, Xiao Luo
2024 J jnl
Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations.
IEEE Trans. Artif. Intell.
Tao Meng, Yuntao Shou, Wei Ai, Nan Yin, Keqin Li
2024 J jnl
Degree Distribution based Spiking Graph Networks for Domain Adaptation.
CoRR
Yingxu Wang, Siwei Liu, Mengzhu Wang, Shangsong Liang, Nan Yin
2024 J jnl
DiM:
CoRR
Bingli Wang, Houcheng Su, Nan Yin, Mengzhu Wang, Li Shen
2024 J jnl
DuSEGO: Dual Second-order Equivariant Graph Ordinary Differential Equation.
CoRR
Yingxu Wang, Nan Yin, Mingyan Xiao, Xinhao Yi, Siwei Liu, Shangsong Liang
2024 A* conf
Dynamic Spiking Graph Neural Networks.
AAAI
Nan Yin, Mengzhu Wang, Zhenghan Chen, Giulia De Masi, Huan Xiong, Bin Gu
2024 J jnl
Dynamic Spiking Graph Neural Networks.
CoRR
Nan Yin, Mengzhu Wang, Zhenghan Chen, Giulia De Masi, Bin Gu, Huan Xiong
2024 J jnl
FTMLP: MLP with Feature-Temporal Block for multivariate time series forecasting.
Neurocomputing
Haoxin Wang, Yipeng Mo, Honghe Dai, Nan Yin, Songhai Fan, Bixiong Li, Site Mo
2024 J jnl
Graph Structure Learning with Bi-level Optimization.
CoRR
Nan Yin
2024 J jnl
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation.
CoRR
Mengzhu Wang, Jiao Li, Houcheng Su, Nan Yin, Liang Yang, Shen Li
2024 J jnl
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs.
CoRR
Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang
2024 A* conf
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts.
ICML
Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao
2024 J jnl
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts.
CoRR
Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao
2024 J jnl
Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting.
IEEE Trans. Pattern Anal. Mach. Intell.
Nan Yin, Li Shen, Huan Xiong, Bin Gu, Chong Chen, Xian-Sheng Hua, Siwei Liu, Xiao Luo
2024 J jnl
On Expert-Machine Partnership to Predict Mortality of Congestive Heart Failure Patients.
Inf. Syst. Manag.
Ofir Ben-Assuli, Tsipi Heart, Nan Yin, Robert Klempfner, Rema Padman
2024 J jnl
Pre-insertion resistors temperature prediction based on improved WOA-SVR.
CoRR
Honghe Dai, Site Mo, Haoxin Wang, Nan Yin, Songhai Fan, Bixiong Li
2024 J jnl
Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors.
CoRR
Xiao Teng, Long Lan, Dingyao Chen, Kele Xu, Nan Yin
2024 J jnl
Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion.
CoRR
Yuntao Shou, Tao Meng, Fuchen Zhang, Nan Yin, Keqin Li
2024 J jnl
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum.
CoRR
Tao Meng, Fuchen Zhang, Yuntao Shou, Wei Ai, Nan Yin, Keqin Li
2024 J jnl
SA-GDA: Spectral Augmentation for Graph Domain Adaptation.
CoRR
Jinhui Pang, Zixuan Wang, Jiliang Tang, Mingyan Xiao, Nan Yin
2024 J jnl
SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification.
CoRR
Yingxu Wang, Victor Liang, Nan Yin, Siwei Liu, Eran Segal
2024 J jnl
SPORT: A Subgraph Perspective on Graph Classification with Label Noise.
ACM Trans. Knowl. Discov. Data
Nan Yin, Li Shen, Chong Chen, Xiansheng Hua, Xiao Luo
2024 J jnl
TMODINET: A trustworthy multi-omics dynamic learning integration network for cancer diagnostic.
Comput. Biol. Chem.
Ling Du, Peipei Gao, Zhuang Liu, Nan Yin, Xiaochao Wang
2024 J jnl
The application of geometric form in architectural interior environment design.
Int. J. Inf. Commun. Technol.
Nan Yin
2024 — conf
Uncertainty-induced Incomplete Multi-Omics Integration Network for Cancer Diagnosis.
BIBM
Peipei Gao, Ling Du, Sibo Qiao, Nan Yin
2023 J jnl
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning.
CoRR
Yuntao Shou, Tao Meng, Wei Ai, Nan Yin, Keqin Li
2023 J jnl
Asymmetrically Decentralized Federated Learning.
CoRR
Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen
2023 A* conf
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.
ICML
Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo
2023 J jnl
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.
CoRR
Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo
2023 J jnl
Continual Learning From a Stream of APIs.
CoRR
Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2023 J jnl
Dance of Channel and Sequence: An Efficient Attention-Based Approach for Multivariate Time Series Forecasting.
CoRR
Haoxin Wang, Yipeng Mo, Nan Yin, Honghe Dai, Bixiong Li, Songhai Fan, Site Mo
2023 J jnl
Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations.
CoRR
Tao Meng, Yuntao Shou, Wei Ai, Nan Yin, Keqin Li
2023 J jnl
Multiobjective Optimization for Vehicle Routing Optimization Problem in Low-Carbon Intelligent Transportation.
IEEE Trans. Intell. Transp. Syst.
Nan Yin
2023 J jnl
OMG: Towards Effective Graph Classification Against Label Noise.
IEEE Trans. Knowl. Data Eng.
Nan Yin, Li Shen, Mengzhu Wang, Xiao Luo, Zhigang Luo, Dacheng Tao
2023 A* conf
SA-GDA: Spectral Augmentation for Graph Domain Adaptation.
ACM Multimedia
Jinhui Pang, Zixuan Wang, Jiliang Tang, Mingyan Xiao, Nan Yin
2022 A* conf
DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification.
ACM Multimedia
Nan Yin, Li Shen, Baopu Li, Mengzhu Wang, Xiao Luo, Chong Chen, Zhigang Luo, Xian-Sheng Hua
2022 A* conf
Dynamic Hypergraph Convolutional Network.
ICDE
Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua
2022 J jnl
Generic Structure Extraction with Bi-Level Optimization for Graph Structure Learning.
Entropy
Nan Yin, Zhigang Luo
2022 J jnl
Personalized Situation Adaptive Human-Vehicles-Interaction (HVI) Prediction in COVID-19 Context.
IEEE Trans. Intell. Transp. Syst.
Nan Yin, Amit Kumar Singh, Haibin Lv
2021 — conf
A Focally Discriminative Loss for Unsupervised Domain Adaptation.
ICONIP (1)
Dongting Sun, Mengzhu Wang, Xurui Ma, Tianming Zhang, Nan Yin, Wei Yu, Zhigang Luo
2021 J jnl
A cluster-based oversampling algorithm combining SMOTE and k-means for imbalanced medical data.
Inf. Sci.
Zhaozhao Xu, Derong Shen, Tiezheng Nie, Yue Kou, Nan Yin, Xi Han
2021 — conf
Entity-Aware Biaffine Attention for Constituent Parsing.
ICANN (1)
Xinyi Bai, Nan Yin, Xiang Zhang, Xin Wang, Zhigang Luo
2021 J jnl
Oscillation analysis of solutions of non-zero continuous linear functional equations.
J. Comput. Methods Sci. Eng.
Nan Yin
2020 J jnl
Open-Closed-Loop Iterative Learning Control With a Self-Adjustive Factor of the Gas Tungsten Arc Welding (GTAW) Process.
IEEE Access
Nan Yin, Liu Hanwen, Yang Wu
2017 — conf
The Adaptive Discrete Cuckoo Search for Parallel Flow Shop Problem.
ISCID (2)
Lei Zhang, Nan Yin, Shaocan Wang
2017 — conf
The establishment of model parameters for soil moisture inversion.
CISP-BMEI
Nan Yin, Jingwei Wang
2015 — conf
Simulation and Analysis of Backscattering Characteristics of Soil with Row Structure.
GRMSE
Nan Yin, Jingwei Wang, Shaobin Zhan
2013 — conf
Use of RADARSAT-2 data to retrieve soil moisture over bare soil agricultural fields.
Geoinformatics
Nan Yin, Qigang Jiang, Shaobin Zhan