| 2026 | AAAI | FlorE: Integrating Full Lorentz Group and Directional Offsets for Effective Knowledge Graph Embedding. | Zehua Duo, Jiang Li, Xiangdong Su, Guanglai Gao |
| 2026 | ACL | CEDAR: A Chinese Evaluation Dataset for Computational Argumentation. | Tian Lan, Jiang Li, Rong Yan, Feilong Bao, Weihua Wang, Guanglai Gao, Xiangdong Su |
| 2026 | ACL | Lightweight Haar Wavelet Subband Pruning for LLMs. | Jiang Li, Pengfei Cao, Chenxi Zhou, Tian Lan, Xiangdong Su, Kang Liu, Jun Zhao, Guanglai Gao |
| 2026 | ACL | CausalityCheck: A Framework for Evaluating Causal Reasoning in Large Language Models. | Jiang Li, Zehua Duo, Guanglai Gao, Xiangdong Su |
| 2026 | ACL | Learning Continuous Temporal Dynamics on Symplectic Manifolds for Temporal Knowledge Graph Embedding. | Jiang Li, Zehua Duo, Tian Lan, Feilong Bao, Guanglai Gao, Xiangdong Su |
| 2026 | ACL | Who Wrote This Line? Evaluating the Detection of LLM-Generated Classical Chinese Poetry. | Jiang Li, Tian Lan, Shanshan Wang, Zdongxing, Dianqing Lin, Guanglai Gao, Derek F. Wong, Xiangdong Su |
| 2026 | ACL | Born Pragmatic, Trained to Hallucinate? Quantifying the Origins of Contextual Bias in LLMs via the PaCE Benchmark. | Ziming Li, Yu Tian, Tian Lan, Jiang Li, Zehua Duo, Guanglai Gao, Xiangdong Su |
| 2026 | ACL | Know Your Place: Diagnosing Implicit Social Adaptation Failures in Chinese Large Language Models. | Yu Tian, Jie Xing, Ziming Li, Jiang Li, Zehua Duo, Tian Lan, Xu Liu, Guanglai Gao, Xiangdong Su |
| 2026 | ACL | ToMELP: A Theory-of-Mind Benchmark for Route-Controlled Persuasion under the Elaboration Likelihood Model. | Ruirui Wang, Haoran Zhang, Tian Lan, Zehua Duo, Jiang Li, Guanglai Gao, Xiangdong Su |
| 2026 | ICDAR | GSMP: Geometry-Structured Masked Pre-training with Multi-granularity Objectives and Curriculum Learning for Geometric Problem Solving. | Ziming Li, Jie Zhang, Xingxiang Zhou, Minzhi Zhang, Zhi Chen, Guanglai Gao, Xiangdong Su |
| 2025 | AAAI | SSAN: A Symbol Spatial-Aware Network for Handwritten Mathematical Expression Recognition. | Haoran Zhang, Xiangdong Su, Xingxiang Zhou, Guanglai Gao |
| 2025 | ACL | 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 |
| 2025 | ACL | A Mutual Information Perspective on Knowledge Graph Embedding. | Jiang Li, Xiangdong Su, Zehua Duo, Tian Lan, Xiaotao Guo, Guanglai Gao |
| 2025 | COLING | Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation. | Weihua Wang, Qiuyu Liang, Feilong Bao, Guanglai Gao |
| 2025 | COLING | Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning. | Cunda Wang, Weihua Wang, Qiuyu Liang, Feilong Bao, Guanglai Gao |
| 2025 | EMNLP | F²Bench: An Open-ended Fairness Evaluation Benchmark for LLMs with Factuality Considerations. | Tian Lan, Jiang Li, Yemin Wang, Xu Liu, Xiangdong Su, Guanglai Gao |
| 2025 | EMNLP | Leveraging 3D Gaussian for Temporal Knowledge Graph Embedding. | Jiang Li, Xiangdong Su, Guanglai Gao |
| 2025 | ICASSP | Dynamic Structure Hypergraph for Document-level Event Extraction. | Qi Ren, Weihua Wang, Jie Yu, Guanglai Gao |
| 2025 | ICASSP | Structural-Aware Disentangled Learning with CLIP for Hyperbolic Zero-Shot Sketch-Based Image Retrieval. | Qing Zhang, Jing Zhang, Feilong Bao, Xiangdong Su, Guanglai Gao |
| 2025 | ICCV | Task-Decoupled Bzier Surface Constraint for Uneven Low-Light Image Enhancement. | Xingxiang Zhou, Xiangdong Su, Haoran Zhang, Wei Chen, Guanglai Gao |
| 2025 | ICDAR | SCANS: An Efficient Geometric Problem Solver with Content-Aware Attention and Adaptive Fusion. | Zhi Chen, Yuhan Yang, Xiangdong Su, Haoran Zhang, Xinxiang Zhou, Wei Chen, Guanglai Gao |
| 2025 | IJCNN | Enhancing Mandarin Lip Reading with a Multimodal Conformer and Structured State-Space Decoder. | Meng Miao, Feilong Bao, Guanglai Gao |
| 2025 | NAACL | Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding. | Jiang Li, Xiangdong Su, Guanglai Gao |
| 2024 | ACL | Learning Low-dimensional Multi-domain Knowledge Graph Embedding via Dual Archimedean Spirals. | Jiang Li, Xiangdong Su, Fujun Zhang, Guanglai Gao |
| 2024 | COLING | L\²GC: Lorentzian Linear Graph Convolutional Networks for Node Classification. | Qiuyu Liang, Weihua Wang, Feilong Bao, Guanglai Gao |
| 2024 | COLING | TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation. | Jiang Li, Xiangdong Su, Fujun Zhang, Guanglai Gao |
| 2024 | COLING | EpLSA: Synergy of Expert-prefix Mixtures and Task-Oriented Latent Space Adaptation for Diverse Generative Reasoning. | Fujun Zhang, Xiangdong Su, Jiang Li, Rong Yan, Guanglai Gao |
| 2024 | COLING | 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 |
| 2024 | ECAI | Fully Hyperbolic Rotation for Knowledge Graph Embedding. | Qiuyu Liang, Weihua Wang, Feilong Bao, Guanglai Gao |
| 2024 | ICASSP | Cross-Attention-Guided Wavenet for Mel Spectrogram Reconstruction in The ICASSP 2024 Auditory EEG Challenge. | Yuan Fang, Hao Li, Xueliang Zhang, Fei Chen, Guanglai Gao |
| 2024 | IJCNN | Improving End-to-End Speech Recognition Through Conditional Cross-Modal Knowledge Distillation with Language Model. | Yuan Li, Yonghe Wang, Feilong Bao, Zhenjie Gao, Guanglai Gao, Wenjun Zhang |
| 2024 | IJCNN | Pre-training Language Model for Mongolian with Agglutinative Linguistic Knowledge Injection. | Muhan Na, Rui Liu, Feilong Bao, Guanglai Gao |
| 2024 | Interspeech | Cross-Attention-Guided WaveNet for EEG-to-MEL Spectrogram Reconstruction. | Hao Li, Yuan Fang, Xueliang Zhang, Fei Chen, Guanglai Gao |
| 2023 | ACL | TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline. | Jiang Li, Xiangdong Su, Guanglai Gao |
| 2023 | ACL | How Well Apply Simple MLP to Incomplete Utterance Rewriting? | Jiang Li, Xiangdong Su, Xinlan Ma, Guanglai Gao |
| 2023 | ICANN | TableSF: A Structural Bias Framework for Table-To-Text Generation. | Di Liu, Weihua Wang, Feilong Bao, Guanglai Gao |
| 2023 | ICASSP | Exploiting Modality-Invariant Feature for Robust Multimodal Emotion Recognition with Missing Modalities. | Haolin Zuo, Rui Liu, Jinming Zhao, Guanglai Gao, Haizhou Li |
| 2023 | Interspeech | Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion. | Rui Liu, Jinhua Zhang, Guanglai Gao, Haizhou Li |
| 2023 | Interspeech | Explicit Intensity Control for Accented Text-to-speech. | Rui Liu, Haolin Zuo, De Hu, Guanglai Gao, Haizhou Li |
| 2023 | PRICAI | Few-Shot Table-to-Text Generation with Structural Bias Attention. | Di Liu, Weihua Wang, Feilong Bao, Guanglai Gao |
| 2022 | ICANN | End-to-End Large-Scale Image Retrieval Network with Convolution and Vision Transformers. | Qing Zhang, Feilong Bao, Xiangdong Su, Weihua Wang, Guanglai Gao |
| 2022 | ICASSP | Alignment-Learning Based Single-Step Decoding for Accurate and Fast Non-Autoregressive Speech Recognition. | Yonghe Wang, Rui Liu, Feilong Bao, Hui Zhang, Guanglai Gao |
| 2022 | ICONIP | A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion. | Muhan Na, Rui Liu, Feilong Bao, Guanglai Gao |
| 2022 | Interspeech | Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep Learning. | Rui Liu, Berrak Sisman, Bjrn W. Schuller, Guanglai Gao, Haizhou Li |
| 2021 | ICASSP | Joint Alignment Learning-Attention Based Model for Grapheme-to-Phoneme Conversion. | Yonghe Wang, Feilong Bao, Hui Zhang, Guanglai Gao |
| 2021 | KSEM | Panoptic-DLA: Document Layout Analysis of Historical Newspapers Based on Proposal-Free Panoptic Segmentation Model. | Min Lu, Feilong Bao, Guanglai Gao |
| 2021 | PRICAI | Soft-BAC: Soft Bidirectional Alignment Cost for End-to-End Automatic Speech Recognition. | Yonghe Wang, Hui Zhang, Feilong Bao, Guanglai Gao |
| 2020 | COLING | Incorporating Inner-word and Out-word Features for Mongolian Morphological Segmentation. | Na Liu, Xiangdong Su, Haoran Zhang, Guanglai Gao, Feilong Bao |
| 2020 | ICASSP | Teacher-Student Training For Robust Tacotron-Based TTS. | Rui Liu, Berrak Sisman, Jingdong Li, Feilong Bao, Guanglai Gao, Haizhou Li |
| 2020 | ICASSP | Beamformed Feature for Learning-based Dual-channel Speech Separation. | Hao Li, Xueliang Zhang, Guanglai Gao |
| 2020 | Interspeech | Sub-Band Knowledge Distillation Framework for Speech Enhancement. | Xiang Hao, Shixue Wen, Xiangdong Su, Yun Liu, Guanglai Gao, Xiaofei Li |
| 2020 | Interspeech | Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning. | Hao Li, DeLiang Wang, Xueliang Zhang, Guanglai Gao |
| 2020 | ICTAI | Dataless Text Classification with Pseudo Topic Representation. | Rong Yan, Qi Chen, Guanglai Gao |
| 2020 | WISE | Topic Analysis by Exploring Headline Information. | Rong Yan, Guanglai Gao |
| 2019 | APWEB | Pseudo Topic Analysis for Boosting Pseudo Relevance Feedback. | Rong Yan, Guanglai Gao |
| 2019 | ICDAR | Sub-Word Based Mongolian Offline Handwriting Recognition. | Daoerji Fan, Guanglai Gao, Huijuan Wu |
| 2019 | ICDAR | Woodblock-Printing Mongolian Words Recognition by Bi-LSTM with Attention Mechanism. | Yanke Kang, Hongxi Wei, Hui Zhang, Guanglai Gao |
| 2019 | ICDAR | 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 |
| 2019 | ICIP | A Holistic Recognition Approach for Woodblock-Print Mongolian Words Based on Convolutional Neural Network. | Hongxi Wei, Guanglai Gao |
| 2019 | ICONIP | Building Mongolian TTS Front-End with Encoder-Decoder Model by Using Bridge Method and Multi-view Features. | Rui Liu, Feilong Bao, Guanglai Gao |
| 2019 | ICONIP | Morphological Knowledge Guided Mongolian Constituent Parsing. | Na Liu, Xiangdong Su, Guanglai Gao, Feilong Bao, Min Lu |
| 2019 | ICONIP | 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 |
| 2019 | ICONIP | A Natural Scene Text Extraction Approach Based on Generative Adversarial Learning. | Huali Xu, Xiangdong Su, Tongyang Liu, Pengcheng Guo, Guanglai Gao, Feilong Bao |
| 2019 | IJCNN | Neural Morphological Segmentation Model for Mongolian. | Weihua Wang, Rashel Fam, Feilong Bao, Yves Lepage, Guanglai Gao |
| 2019 | KSEM | An Automatic Spelling Correction Method for Classical Mongolian. | Min Lu, Feilong Bao, Guanglai Gao, Weihua Wang, Hui Zhang |
| 2019 | PRICAI | 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 |
| 2018 | COLING | A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction. | Rui Liu, Feilong Bao, Guanglai Gao, Hui Zhang, Yonghe Wang |
| 2018 | ICASSP | Training Supervised Speech Separation System to Improve STOI and PESQ Directly. | Hui Zhang, Xueliang Zhang, Guanglai Gao |
| 2018 | ICONIP | Mongolian Word Segmentation Based on Three Character Level Seq2Seq Models. | Na Liu, Xiangdong Su, Guanglai Gao, Feilong Bao |
| 2018 | ICONIP | Convolutional Neural Network for Machine-Printed Traditional Mongolian Font Recognition. | Hongxi Wei, Ya Wen, Weiyuan Wang, Guanglai Gao |
| 2018 | ICPR | Word Image Representation Based on Visual Embeddings and Spatial Constraints for Keyword Spotting on Historical Documents. | Hongxi Wei, Hui Zhang, Guanglai Gao |
| 2018 | Interspeech | Improving Mongolian Phrase Break Prediction by Using Syllable and Morphological Embeddings with BiLSTM Model. | Rui Liu, Feilong Bao, Guanglai Gao, Hui Zhang, Yonghe Wang |
| 2018 | PRICAI | Phonologically Aware BiLSTM Model for Mongolian Phrase Break Prediction with Attention Mechanism. | Rui Liu, Feilong Bao, Guanglai Gao, Hui Zhang, Yonghe Wang |
| 2017 | ICDAR | Supervised Feature Learning via Within-Class Reconstruction. | Yunxue Shao, Jiantao Zhou, Guanglai Gao |
| 2017 | ICDAR | Segmentation-Free Printed Traditional Mongolian OCR Using Sequence to Sequence with Attention Model. | Hui Zhang, Hongxi Wei, Feilong Bao, Guanglai Gao |
| 2017 | ICONIP | Using Word Mover's Distance with Spatial Constraints for Measuring Similarity Between Mongolian Word Images. | Hongxi Wei, Hui Zhang, Guanglai Gao, Xiangdong Su |
| 2017 | Interspeech | Multi-Target Ensemble Learning for Monaural Speech Separation. | Hui Zhang, Xueliang Zhang, Guanglai Gao |
| 2017 | ICTAI | Pseudo-Based Relevance Analysis for Information Retrieval. | Rong Yan, Guanglai Gao |
| 2016 | COLING | Mongolian Named Entity Recognition System with Rich Features. | Weihua Wang, Feilong Bao, Guanglai Gao |
| 2016 | ICASSP | Convolutional neural network for robust pitch determination. | Hong Su, Hui Zhang, Xueliang Zhang, Guanglai Gao |
| 2016 | ICASSP | A novel image classifier based on Gaussian mixture language model. | Wei Wu, Guanglai Gao |
| 2016 | ICFHR | DNN-HMM for Large Vocabulary Mongolian Offline Handwriting Recognition. | Daoerji Fan, Guanglai Gao |
| 2016 | ICFHR | A Connection Reduced Network for Similar Handwritten Chinese Character Discrimination. | Yunxue Shao, Guanglai Gao, Chunheng Wang |
| 2016 | ICONIP | LDA-Based Word Image Representation for Keyword Spotting on Historical Mongolian Documents. | Hongxi Wei, Guanglai Gao, Xiangdong Su |
| 2016 | ICTAI | Mongolian Named Entity Recognition with Bidirectional Recurrent Neural Networks. | Weihua Wang, Feilong Bao, Guanglai Gao |
| 2015 | ICASSP | A pairwise algorithm for pitch estimation and speech separation using deep stacking network. | Hui Zhang, Xueliang Zhang, Shuai Nie, Guanglai Gao, Wenju Liu |
| 2015 | ICDAR | A multiple instances approach to improving keyword spotting on historical Mongolian document images. | Hongxi Wei, Guanglai Gao, Xiangdong Su |
| 2015 | ICONIP | Enhancing the Mongolian Historical Document Recognition System with Multiple Knowledge-Based Strategies. | Xiangdong Su, Guanglai Gao, Hongxi Wei, Feilong Bao |
| 2015 | ICONIP | Nearest Neighbor with Multi-feature Metric for Image Annotation. | Wei Wu, Guanglai Gao |
| 2013 | ICASSP | Segmentation-based Mongolian LVCSR approach. | Feilong Bao, Guanglai Gao, Xueliang Yan, Weihua Wang |
| 2011 | ICDAR | Classical Mongolian Words Recognition in Historical Document. | Guanglai Gao, Xiangdong Su, Hongxi Wei, Yeyun Gong |
| 2011 | ICDAR | A Method for Removing Inflectional Suffixes in Word Spotting of Mongolian Kanjur. | Hongxi Wei, Guanglai Gao, Yulai Bao |