IMU Experiment in IR4QA at NTCIR-8. - Xiangdong Su; Xueliang Yan; Guanglai Gao; Hongxi Wei (NTCIR, 2010)

Uniform framework for direct volume rendering. - Xiangdong Su; Yongxu Li (EMEIT, 2011)

Classical Mongolian Words Recognition in Historical Document. - Guanglai Gao; Xiangdong Su; Hongxi Wei; Yeyun Gong (ICDAR, 2011)

The Research on Mongolian Spoken Term Detection Based on Confusion Network. - Feilong Bao; Guanglai Gao; Yulai Bao; Xiangdong Su (CCPR, 2012)

Hidden Markov Model for Term Weighting in Verbose Queries. - Xueliang Yan; Guanglai Gao; Xiangdong Su; Hongxi Wei; Xueliang Zhang 001; Qianqian Lu (CLEF, 2012)

Development of Traditional Mongolian Dependency Treebank. - Xiangdong Su; Guanglai Gao; Xueliang Yan (CCL, 2013)

Dependency Parsing for Traditional Mongolian. - Xiangdong Su; Guanglai Gao; Xueliang Yan (IALP, 2013)

Character Segmentation for Classical Mongolian Words in Historical Documents. - Xiangdong Su; Guanglai Gao; Weihua Wang; Feilong Bao; Hongxi Wei (CCPR (2), 2014)

A multiple instances approach to improving keyword spotting on historical Mongolian document images. - Hongxi Wei; Guanglai Gao; Xiangdong Su (ICDAR, 2015)

Enhancing the Mongolian Historical Document Recognition System with Multiple Knowledge-Based Strategies. - Xiangdong Su; Guanglai Gao; Hongxi Wei; Feilong Bao (ICONIP (2), 2015)

Mongolian Inflection Suffix Processing in NLP: A Case Study. - Xiangdong Su; Guanglai Gao; Yupeng Jiang; Jing Wu 011; Feilong Bao (NLPCC, 2015)

A case study of BoVW for keyword spotting on historical Mongolian document images. - Xing Guo; Hongxi Wei; Xiangdong Su (CISP-BMEI, 2016)

A Novel Approach to Improve the Mongolian Language Model Using Intermediate Characters. - Xiaofei Yan; Feilong Bao; Hongxi Wei; Xiangdong Su (CCL, 2016)

LDA-Based Word Image Representation for Keyword Spotting on Historical Mongolian Documents. - Hongxi Wei; Guanglai Gao; Xiangdong Su (ICONIP (4), 2016)

A knowledge-based recognition system for historical Mongolian documents. - Xiangdong Su; Guanglai Gao; Hongxi Wei; Feilong Bao (Int. J. Document Anal. Recognit., 2016)

Using Word Mover's Distance with Spatial Constraints for Measuring Similarity Between Mongolian Word Images. - Hongxi Wei; Hui Zhang 031; Guanglai Gao; Xiangdong Su (ICONIP (4), 2017)

Mongolian Word Segmentation Based on Three Character Level Seq2Seq Models. - Na Liu; Xiangdong Su; Guanglai Gao; Feilong Bao (ICONIP (5), 2018)

Integrating Topic Information into VAE for Text Semantic Similarity. - Xiangdong Su; Rong Yan; Zheng Gong; Yujiao Fu; Heng Xu (ICONIP (5), 2018)

Improving Text Image Resolution using a Deep Generative Adversarial Network for Optical Character Recognition. - Xiangdong Su; Huali Xu; Ying Kang; Xiang Hao; Guanglai Gao; Yue Zhang (ICDAR, 2019)

Morphological Knowledge Guided Mongolian Constituent Parsing. - Na Liu; Xiangdong Su; Guanglai Gao; Feilong Bao; Min Lu (ICONIP (3), 2019)

Learning an Adversarial Network for Speech Enhancement Under Extremely Low Signal-to-Noise Ratio Condition. - Xiangdong Su; Xiang Hao; Zhiyu Wang; Yun Liu; Huali Xu; Tongyang Liu; Guanglai Gao; Feilong Bao (ICONIP (1), 2019)

A Natural Scene Text Extraction Approach Based on Generative Adversarial Learning. - Huali Xu; Xiangdong Su; Tongyang Liu; Pengcheng Guo; Guanglai Gao; Feilong Bao (ICONIP (1), 2019)

UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-Noise Ratio Condition. - Xiang Hao; Xiangdong Su; Zhiyu Wang; Hui Zhang 031; Batushiren (INTERSPEECH, 2019)

An End-to-End Preprocessor Based on Adversiarial Learning for Mongolian Historical Document OCR. - Xiangdong Su; Huali Xu; Yue Zhang; Yanke Kang; Guanglai Gao; Batushiren (PRICAI (3), 2019)

Incorporating Inner-word and Out-word Features for Mongolian Morphological Segmentation. - Na Liu; Xiangdong Su; Haoran Zhang; Guanglai Gao; Feilong Bao (COLING, 2020)

A Multi-Scaled Receptive Field Learning Approach for Medical Image Segmentation. - Pengcheng Guo; Xiangdong Su; Haoran Zhang; Meng Wang; Feilong Bao (ICASSP, 2020)

Masking and Inpainting: A Two-Stage Speech Enhancement Approach for Low SNR and Non-Stationary Noise. - Xiang Hao; Xiangdong Su; Shixue Wen; Zhiyu Wang; Yiqian Pan; Feilong Bao; Wei Chen (ICASSP, 2020)

Snr-Based Teachers-Student Technique For Speech Enhancement. - Xiang Hao; Xiangdong Su; Zhiyu Wang; Qiang Zhang; Huali Xu; Guanglai Gao (ICME, 2020)

An Edge Information and Mask Shrinking Based Image Inpainting Approach. - Huali Xu; Xiangdong Su; Meng Wang; Xiang Hao; Guanglai Gao (ICME, 2020)

Sub-Band Knowledge Distillation Framework for Speech Enhancement. - Xiang Hao; Shixue Wen; Xiangdong Su; Yun Liu; Guanglai Gao; Xiaofei Li (INTERSPEECH, 2020)

Differential Privacy Images Protection Based on Generative Adversarial Network. - Ren Yang; Xuebin Ma; Xiangyu Bai; Xiangdong Su (TrustCom, 2020)

A benchmark dataset and case study for Chinese medical question intent classification. - Nan Chen; Xiangdong Su; Tongyang Liu; Qizhi Hao; Ming Wei (BMC Medical Informatics Decis. Mak., 2020)

Fullsubnet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement. - Xiang Hao; Xiangdong Su; Radu Horaud; Xiaofei Li 001 (ICASSP, 2021)

An Efficient Local Word Augment Approach for Mongolian Handwritten Script Recognition. - Haoran Zhang; Wei Chen; Xiangdong Su; Hui Guo; Huali Xu (ICDAR (4), 2021)

MCDALNet: Multi-scale Contextual Dual Attention Learning Network for Medical Image Segmentation. - Pengcheng Guo; Xiangdong Su; Haoran Zhang; Feilong Bao (IJCNN, 2021)

How Well Apply Multimodal Mixup and Simple MLPs Backbone to Medical Visual Question Answering? - Lei Liu; Xiangdong Su (BIBM, 2022)

End-to-End Large-Scale Image Retrieval Network with Convolution and Vision Transformers. - Qing Zhang; Feilong Bao; Xiangdong Su; Weihua Wang; Guanglai Gao (ICANN (4), 2022)

Script-Level Word Sample Augmentation for Few-Shot Handwritten Text Recognition. - Wei Chen; Xiangdong Su; Haoran Zhang (ICFHR, 2022)

Medical Visual Question Answering via Targeted Choice Contrast and Multimodal Entity Matching. - Hui Guo; Lei Liu; Xiangdong Su; Haoran Zhang (ICONIP (2), 2022)

A Transformer-based Medical Visual Question Answering Model. - Lei Liu; Xiangdong Su; Hui Guo; Daobin Zhu (ICPR, 2022)

QuatSE: Spherical Linear Interpolation of Quaternion for Knowledge Graph Embeddings. - Jiang Li 013; Xiangdong Su; Xinlan Ma; Guanglai Gao (NLPCC (1), 2022)

Coarse-to-Fine Recursive Speech Separation for Unknown Number of Speakers. - Zhenhao Jin; Xiang Hao; Xiangdong Su (CoRR, 2022)

TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline. - Jiang Li 013; Xiangdong Su; Guanglai Gao (ACL (1), 2023)

How Well Apply Simple MLP to Incomplete Utterance Rewriting? - Jiang Li 013; Xiangdong Su; Xinlan Ma; Guanglai Gao (ACL (2), 2023)

Multi-task Learning for Mongolian Morphological Analysis. - Na Liu; Qing-Dao-Er-Ji Ren; Xiangdong Su; Yatu Ji; Aodengbala; Guiping Liu (ICANN (9), 2023)

Design and Performance Optimization of a Novel High Temperature Superconducting Linear Flux-Switching Motor. - Xiangdong Su; Hang Zhao; Fang Li (ISIE, 2023)

TransERR: Translation-based Knowledge Graph Completion via Efficient Relation Rotation. - Jiang Li 013; Xiangdong Su (CoRR, 2023)

Improving CTC-AED model with integrated-CTC and auxiliary loss regularization. - Daobin Zhu; Xiangdong Su; Hongbin Zhang 003 (CoRR, 2023)

Noise-Separated Adaptive Feature Distillation for Robust Speech Recognition. - Honglin Qu; Xiangdong Su; Yonghe Wang; Xiang Hao; Guanglai Gao (IEEE Signal Process. Lett., 2023)

FLPA: A fast label propagation algorithm for detecting overlapping community structure. - Rong Yan; Wei Yuan 013; Xiangdong Su; Ziyi Zhang (Expert Syst. Appl., 2023)

Learning Low-dimensional Multi-domain Knowledge Graph Embedding via Dual Archimedean Spirals. - Jiang Li 013; Xiangdong Su; Fujun Zhang 004; Guanglai Gao (ACL (Findings), 2024)

Leveraging Convolutional Models as Backbone for Medical Visual Question Answering. - Lei Liu; Xiangdong Su; Guanglai Gao (BIBM, 2024)

Optimizing Transformer and MLP with Hidden States Perturbation for Medical Visual Question Answering. - Lei Liu; Xiangdong Su; Guanglai Gao (BIBM, 2024)

Learning Frequency Adaptation for Cross-domain Medical Image Segmentation. - Xiaoming Wang; Lei Liu; Xiangdong Su; Yuhan Yang; Guanglai Gao (BIBM, 2024)

FSAM: Fine-tuning SAM encoder and decoder for Medical Image Segmentation. - Xiaoming Wang; Lei Liu; Xiangdong Su; Yuhan Yang; Guanglai Gao (BIBM, 2024)

3D Blur Kernel on Gaussian Splatting. - Yongchao Lin; Xiangdong Su; Yuhan Yang (BMVC, 2024)

Hyperbolic Representations for Prompt Learning. - Nan Chen; Xiangdong Su; Feilong Bao (LREC/COLING, 2024)

TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation. - Jiang Li 013; Xiangdong Su; Fujun Zhang 004; Guanglai Gao (LREC/COLING, 2024)

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning. - Jiashuo Sun; Hang Zhang 029; Chen Lin 001; Xiangdong Su; Yeyun Gong; Jian Guo (LREC/COLING, 2024)

EpLSA: Synergy of Expert-prefix Mixtures and Task-Oriented Latent Space Adaptation for Diverse Generative Reasoning. - Fujun Zhang 004; Xiangdong Su; Jiang Li 013; Rong Yan; Guanglai Gao (LREC/COLING, 2024)

Exploring the Synergy of Dual-path Encoder and Alignment Module for Better Graph-to-Text Generation. - Tianxin Zhao; Yingxin Liu; Xiangdong Su; Jiang Li; Guanglai Gao (LREC/COLING, 2024)

Efficient Speech-to-Text Translation: Progressive Pruning for Accelerated Speech Pre-trained Model. - Nan Chen; Yonghe Wang; Xiangdong Su; Feilong Bao (ICME, 2024)

MEMix: Improving HMER with Diverse Formula Structure Augmentation. - Haoran Zhang; Xiangdong Su; Xingxiang Zhou; Guanglai Gao (ICME, 2024)

Design and Optimization of a Dual-Rotor and Flat-Type-Stator Transverse Flux Machine. - Zhijun Ou; Hang Zhao; Liyang Liu; Xiangdong Su; Fang Li; Hui Wang 147 (IECON, 2024)

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. - Yi Luo; Zhenghao Lin; Yuhao Zhang; Jiashuo Sun; Chen Lin 001; Chengjin Xu; Xiangdong Su; Yelong Shen; Jian Guo; Yeyun Gong (NAACL-HLT, 2024)

Quat-DGNet: Enhancing 3D Dense Captioning with Quaternion-Based Spatial Offsets and Dynamic Neighborhood Graphs. - Shu Li; Xiangdong Su; Jiang Li 013; Fujun Zhang 004 (PRCV (6), 2024)

Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding. - Jiang Li 013; Xiangdong Su; Yeyun Gong; Guanglai Gao (CoRR, 2024)

SSAN: A Symbol Spatial-Aware Network for Handwritten Mathematical Expression Recognition. - Haoran Zhang; Xiangdong Su; Xingxiang Zhou; Guanglai Gao (AAAI, 2025)

McBE: A Multi-task Chinese Bias Evaluation Benchmark for Large Language Models. - Tian Lan; Xiangdong Su; Xu Liu; Ruirui Wang; Ke Chang; Jiang Li; Guanglai Gao (ACL (Findings), 2025)

A Mutual Information Perspective on Knowledge Graph Embedding. - Jiang Li; Xiangdong Su; Zehua Duo; Tian Lan; Xiaotao Guo; Guanglai Gao (ACL (1), 2025)

C3LRSO: A Chinese Corpus for Complex Logical Reasoning in Sentence Ordering. - Xiaotao Guo; Jiang Li 013; Xiangdong Su; Fujun Zhang 004 (COLING, 2025)

Multilingual Parameter-Sharing Adapters: A Method for Optimizing Low-Resource Neural Machine Translation. - Yunlong Zhang; Nan Chen; Yonghe Wang; Xiangdong Su; Feilong Bao (ICASSP, 2025)

Structural-Aware Disentangled Learning with CLIP for Hyperbolic Zero-Shot Sketch-Based Image Retrieval. - Qing Zhang; Jing Zhang; Feilong Bao; Xiangdong Su; Guanglai Gao (ICASSP, 2025)

MedVSA: Medical Visual Spoken-Question Answering. - Lei Liu; Xiangdong Su; Guanglai Gao (ICMR, 2025)

Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding. - Jiang Li 013; Xiangdong Su; Guanglai Gao (NAACL (Long Papers), 2025)

Domain disentanglement and fusion based on hyperbolic neural networks for zero-shot sketch-based image retrieval. - Qing Zhang; Jing Zhang; Xiangdong Su; Yonghe Wang; Feilong Bao; Guanglai Gao (Inf. Process. Manag., 2025)

Fine-grained Automatic Augmentation for handwritten character recognition. - Wei Chen; Xiangdong Su; Hongxu Hou (Pattern Recognit., 2025)

Plant-Physics-Guided Neural Network Control for Permanent Magnet Synchronous Motors. - Zhenxiao Yin; Xu Chen 043; Yang Shen; Xiangdong Su; Dianxun Xiao; Dirk Abel; Hang Zhao (IEEE J. Sel. Top. Signal Process., 2025)

RepCali: High Efficient Fine-tuning Via Representation Calibration in Latent Space for Pre-trained Language Models. - Fujun Zhang; Xiaoying Fan; Xiangdong Su; Guanglai Gao (CoRR, 2025)

Convolutional masked encoder and contrastive learning for small-scale medical language-image pre-training. - Lei Liu; Xiangdong Su; Xiaoming Wang; Guanglai Gao (Biomed. Signal Process. Control., 2026)