Extraction of Prostatic Lumina and Automated Recognition for Prostatic Calculus Image Using PCA-SVM. - Zhuocai Wang; Xiangmin Xu; Xiaojun Ding; Hui Xiao; Yusheng Huang; Jian Liu; Xiaofen Xing; Hua Wang; D. Joshua Liao (Comput. Math. Methods Medicine, 2011)

High speed deep networks based on Discrete Cosine Transformation. - Xiaoyi Zou; Xiangmin Xu; Chunmei Qing; Xiaofen Xing (ICIP, 2014)

A new real-time robust object tracking method. - Xiaofen Xing; Fuhao Qiu; Xiangmin Xu; Chunmei Qing (DSP, 2015)

Multi-invariance appearance model for object tracking. - Guicong Xu; Xiangmin Xu; Xiaofen Xing; Bolun Cai; Chunmei Qing (DSP, 2015)

BIT: Bio-inspired tracker. - Bolun Cai; Xiangmin Xu; Xiaofen Xing; Chunmei Qing (ICIP, 2015)

Improved keyword spotting based on keyword/garbage models. - Qiyu Chen; Weibin Zhang; Xiangmin Xu; Xiaofen Xing (APSIPA, 2016)

Blurred target tracking based on sparse representation of online updated templates. - Xiaofen Xing; Nanhai Zhang; Kailing Guo; Chunmei Qing; Jiali Deng; Huiping Qin (CSNDSP, 2016)

Exploiting Local Feature Fusion for Action Recognition. - Jie Miao; Xiangmin Xu; Xiaoyi Jia; Haoyu Huang; Bolun Cai; Chunmei Qing; Xiaofen Xing (PCM (2), 2016)

BIT: Biologically Inspired Tracker. - Bolun Cai; Xiangmin Xu; Xiaofen Xing; Kui Jia; Jie Miao; Dacheng Tao (IEEE Trans. Image Process., 2016)

Edge/structure preserving smoothing via relativity-of-Gaussian. - Bolun Cai; Xiaofen Xing; Xiangmin Xu (ICIP, 2017)

Face Verification Based on Feature Transfer via PCA-SVM Framework. - Xiaofen Xing; Guicong Xu; Bolun Cai; Chunmei Qing; Xiangmin Xu (iThings/GreenCom/CPSCom/SmartData, 2017)

Manifold Regularized Slow Feature Analysis for Dynamic Texture Recognition. - Jie Miao; Xiangmin Xu; Xiaofen Xing; Dacheng Tao (CoRR, 2017)

Robust object tracking based on sparse representation and incremental weighted PCA. - Xiaofen Xing; Fuhao Qiu; Xiangmin Xu; Chunmei Qing; Yinrong Wu (Multim. Tools Appl., 2017)

Perception Preserving Decolorization. - Bolun Cai; Xiangmin Xu; Xiaofen Xing (ICIP, 2018)

Style Transfer at 100+ FPS Via Sub-Pixel Super-Resolution. - Haoyu Li; Xiangmin Xu; Bolun Cai; Kailing Guo; Xiaofen Xing (ICME Workshops, 2018)

Learning Adaptive Selection Network for Real-Time Visual Tracking. - Jiangfeng Xiong; Xiangmin Xu; Bolun Cai; Xiaofen Xing; Kailing Guo (ICME, 2018)

Multi-modality Hierarchical Recall based on GBDTs for Bipolar Disorder Classification. - Xiaofen Xing; Bolun Cai; Yinhu Zhao; Shuzhen Li; Zhiwei He 003; Weiquan Fan (AVEC@MM, 2018)

Robust Emotion Navigation: Few-shot Visual Sentiment Analysis by Auxiliary Noisy Data. - Lin Wang 004; Xiangmin Xu; Fang Liu 030; Xiaofen Xing; Bolun Cai; Weirui Lu (ACII Workshops, 2019)

Multi-modality Depression Detection via Multi-scale Temporal Dilated CNNs. - Weiquan Fan; Zhiwei He 003; Xiaofen Xing; Bolun Cai; Weirui Lu (AVEC@MM, 2019)

Compressing by Learning in a Low-Rank and Sparse Decomposition Form. - Kailing Guo; Xiaona Xie; Xiangmin Xu; Xiaofen Xing (IEEE Access, 2019)

Low-Rank Tensor Thresholding Ridge Regression. - Kailing Guo; Tong Zhang 015; Xiangmin Xu; Xiaofen Xing (IEEE Access, 2019)

Deep Motion-Appearance Convolutions for Robust Visual Tracking. - Haojie Li; Sihang Wu; Shuangping Huang; Kin-Man Lam 001; Xiaofen Xing (IEEE Access, 2019)

Listwise View Ranking for Image Cropping. - Weirui Lu; Xiaofen Xing; Bolun Cai; Xiangmin Xu (IEEE Access, 2019)

SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG. - Xiaofen Xing; Zhenqi Li; Tianyuan Xu; Lin Shu; Bin Hu; Xiangmin Xu (Frontiers Neurorobotics, 2019)

Learning Spatio-Temporal Convolutional Network for Real-Time Object Tracking. - Hanzao Chen; Xiaofen Xing; Xiangmin Xu (ICASSP, 2020)

Adaptive Domain-Aware Representation Learning for Speech Emotion Recognition. - Weiquan Fan; Xiangmin Xu; Xiaofen Xing; Dongyan Huang (INTERSPEECH, 2020)

Simple to complex dictionary learning for action recognition. - Fang Liu 030; Feifei Qi; Xiaofen Xing; Kailing Guo (ACAI, 2021)

Towards Unseen Speakers Zero-Shot Voice Conversion with Generative Adversarial Networks. - Weirui Lu; Xiaofen Xing; Xiangmin Xu; Weibin Zhang (APSIPA ASC, 2021)

CA-VC: A Novel Zero-Shot Voice Conversion Method With Channel Attention. - Ruitong Xiao; Xiaofen Xing; Jichen Yang; Xiangmin Xu (APSIPA ASC, 2021)

Two-stream Gabor-AGraph Convolutional Networks for Facial Expression Recognition. - Shaoping Jiang; Xiangmin Xu; Xiaofen Xing; Lin Wang 004; Fang Liu 030 (FG, 2021)

Two-stream Global-Guided Attention Network for Facial Expression Recognition. - Yaoli Wen; Xiangmin Xu; Fang Liu 030; Xiaofen Xing; Lin Wang 004 (FG, 2021)

LSSED: A Large-Scale Dataset and Benchmark for Speech Emotion Recognition. - Weiquan Fan; Xiangmin Xu; Xiaofen Xing; Weidong Chen; Dongyan Huang (ICASSP, 2021)

BERT Based Cross-Task Sentiment Analysis with Adversarial Learning. - Zhiwei He 003; Xiangmin Xu; Xiaofen Xing; Yirong Chen; Wenjing Han (ICMI Companion, 2021)

Cross-Lingual Voice Conversion with Disentangled Universal Linguistic Representations. - Zhenchuan Yang; Weibin Zhang; Yufei Liu; Xiaofen Xing (Interspeech, 2021)

Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values. - Zhenquan Lin; Kailing Guo; Xiaofen Xing; Xiangmin Xu (ACM Multimedia, 2021)

Spatiotemporal and frequential cascaded attention networks for speech emotion recognition. - Shuzhen Li; Xiaofen Xing; Weiquan Fan; Bolun Cai; Perry Fordson; Xiangmin Xu (Neurocomputing, 2021)

Attention-aware concentrated network for saliency prediction. - Pengqian Li; Xiaofen Xing; Xiangmin Xu; Bolun Cai; Jun Cheng (Neurocomputing, 2021)

Hierarchical Lifelong Learning by Sharing Representations and Integrating Hypothesis. - Tong Zhang 015; Guoxi Su; Chunmei Qing; Xiangmin Xu; Bolun Cai; Xiaofen Xing (IEEE Trans. Syst. Man Cybern. Syst., 2021)

CS-GResNet: A Simple and Highly Efficient Network for Facial Expression Recognition. - Shaoping Jiang; Xiangmin Xu; Fang Liu 030; Xiaofen Xing; Lin Wang 004 (ICASSP, 2022)

SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech. - Weidong Chen; Xiaofen Xing; Xiangmin Xu; Jianxin Pang; Lan Du (INTERSPEECH, 2022)

Compact Model Training by Low-Rank Projection with Energy Transfer. - Kailing Guo; Zhenquan Lin; Xiaofen Xing; Fang Liu 030; Xiangmin Xu (CoRR, 2022)

CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI. - Yirong Chen; Weiquan Fan; Xiaofen Xing; Jianxin Pang; Minlie Huang; Wenjing Han; Qianfeng Tie; Xiangmin Xu (CoRR, 2022)

Attentive and context-aware deep network for saliency prediction on omni-directional images. - Chunmei Qing; Huansheng Zhu; Xiaofen Xing; Dongwen Chen; Jianxiu Jin (Digit. Signal Process., 2022)

Simple-action-guided dictionary learning for complex action recognition. - Fang Liu 030; Xiangmin Xu; Xiaofen Xing; Kailing Guo; Lin Wang 004 (Neurocomputing, 2022)

A General Method of Realistic Avatar Modeling and Driving for Head-Mounted Display Users. - Ting Lu; Zhengfu Peng; Xiaofen Xing; Xiangmin Xu; Jianxin Pang (IEEE Trans. Cogn. Dev. Syst., 2022)

ISNet: Individual Standardization Network for Speech Emotion Recognition. - Weiquan Fan; Xiangmin Xu; Bolun Cai; Xiaofen Xing (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations. - Yirong Chen; Xiaofen Xing; Jingkai Lin; Huimin Zheng; Zhenyu Wang; Qi Liu 005; Xiangmin Xu (EMNLP (Findings), 2023)

DST: Deformable Speech Transformer for Emotion Recognition. - Weidong Chen; Xiaofen Xing; Xiangmin Xu; Jianxin Pang; Lan Du (ICASSP, 2023)

DWFormer: Dynamic Window Transformer for Speech Emotion Recognition. - Shuaiqi Chen; Xiaofen Xing; Weibin Zhang; Weidong Chen; Xiangmin Xu (ICASSP, 2023)

MGAT: Multi-Granularity Attention Based Transformers for Multi-Modal Emotion Recognition. - Weiquan Fan; Xiaofen Xing; Bolun Cai; Xiangmin Xu (ICASSP, 2023)

Speaker-Aware Hierarchical Transformer For Personality Recognition In Multiparty Dialogues. - Wenjing Han; Yirong Chen; Xiaofen Xing; Guohua Zhou; Xiangmin Xu (ICASSP, 2023)

Cross Range Quantization for Network Compression. - Yicai Yang; Xiaofen Xing; Ming Chen; Kailing Guo; Xiangmin Xu; Fang Liu 030 (IJCNN, 2023)

Exploring Downstream Transfer of Self-Supervised Features for Speech Emotion Recognition. - Yuanbo Fang; Xiaofen Xing; Xiangmin Xu; Weibin Zhang (INTERSPEECH, 2023)

Multi-Scale Temporal Transformer For Speech Emotion Recognition. - Zhipeng Li; Xiaofen Xing; Yuanbo Fang; Weibin Zhang; Hengsheng Fan; Xiangmin Xu (INTERSPEECH, 2023)

Bi-Emotional Siamese Network for MDD Recognition. - Jing Liang; Yingxue Yao; Xin Zhang 013; Jieling Wu; Xiaofen Xing (ISBI, 2023)

Fetal Brain MRI Segmentation via Boundary-Aware Voxel-Level Contrastive Learning. - Wenying Lu; Xin Zhang 013; Qin Xu; Wenjun Chen; Chaoxiang Yang; Xiaofen Xing; Xiangmin Xu (SNPD-Winter, 2023)

LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch. - Pucheng Zhai; Kailing Guo; Fang Liu 030; Xiaofen Xing; Xiangmin Xu (CoRR, 2023)

BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPT. - Yirong Chen; Zhenyu Wang; Xiaofen Xing; Huimin Zheng; Zhipei Xu; Kai Fang; Junhong Wang; Sihang Li; Jieling Wu; Qi Liu 005; Xiangmin Xu (CoRR, 2023)

SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing. - Weidong Chen; Xiaofen Xing; Xiangmin Xu; Jianxin Pang; Lan Du (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Clinical Scores Prediction and Medication Adjustment for Course of Parkinson's Disease. - Han Chen; Wenxuan Wu; Xiaofen Xing; Xiangmin Xu (ICASSP, 2024)

Modality-Guided Collaborative Filtering for Recommendation. - Kai Zhang; Linping Gao; Jinda Lu; Yutong Yuan; Xiaofen Xing (ICIC (13), 2024)

Reinforce Tokens for the Next Recommendation Generation. - Kai Zhang; Linping Gao; Zhaobao Yang; Biao Zhang; Xiaofen Xing (ICIC (13), 2024)

DropFormer: A Dynamic Noise-Dropping Transformer for Speech Emotion Recognition. - Jialong Mai; Xiaofen Xing; Weidong Chen; Xiangmin Xu (INTERSPEECH, 2024)

Cortical Surface Reconstruction from 2D MRI with Segmentation-Constrained Super-Resolution and Representation Learning. - Wenxuan Wu; Ruowen Qu; Dongzi Shi; Tong Xiong; Xiangmin Xu; Xiaofen Xing; Xin Zhang 013 (MICCAI (2), 2024)

Attention-Based-Features-Fusion Emotion-Guided fNIRS Classification Network for Prenatal Depression Recognition. - Sijin Yu; Xuejiao Li; Huirong Lei; Yingxue Yao; Zhaojin Chen; Zicong Zheng; Guodong Liang; Xiaofen Xing; Xin Zhang 013; Chengfang Xu (PRIME@MICCAI, 2024)

RetrievalMMT: Retrieval-Constrained Multi-Modal Prompt Learning for Multi-Modal Machine Translation. - Yan Wang; Yawen Zeng; Junjie Liang; Xiaofen Xing; Jin Xu 014; Xiangmin Xu (ICMR, 2024)

CorticalEvolve: Age-Conditioned Ordinary Differential Equation Model for Cortical Surface Reconstruction. - Wenxuan Wu; Tong Xiong; Dongzi Shi; Ruowen Qu; Xiangmin Xu; Xiaofen Xing; Xin Zhang 013 (MLMI@MICCAI (1), 2024)

As-Speech: Adaptive Style For Speech Synthesis. - Zhipeng Li; Xiaofen Xing; Jun Wang; Shuaiqi Chen; Guoqiao Yu; Guanglu Wan; Xiangmin Xu (SLT, 2024)

Domain Adaption and Unified Knowledge Base Motivate Better Retrieval Models in Dialog Systems With RAG. - Huadong Lin; Yirong Chen; Wenyu Tao; Mingyu Chen 016; Xiangmin Xu; Xiaofen Xing (SLT, 2024)

FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model. - Xiangyu Li 010; Xinjie Shen; Yawen Zeng; Xiaofen Xing; Jin Xu 014 (WWW (Companion Volume), 2024)

PointCore: Efficient Unsupervised Point Cloud Anomaly Detector Using Local-Global Features. - Baozhu Zhao; Qiwei Xiong; Xiaohan Zhang; Jingfeng Guo; Qi Liu 005; Xiaofen Xing; Xiangmin Xu (CoRR, 2024)

Towards Zero-shot Human-Object Interaction Detection via Vision-Language Integration. - Weiying Xue; Qi Liu 005; Qiwei Xiong; Yuxiao Wang 003; Zhenao Wei; Xiaofen Xing; Xiangmin Xu (CoRR, 2024)

Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset. - Rui Liu 008; Haolin Zuo; Zheng Lian; Xiaofen Xing; Björn W. Schuller; Haizhou Li 001 (CoRR, 2024)

VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool. - Yan Wang; Yawen Zeng; Jingsheng Zheng; Xiaofen Xing; Jin Xu 014; Xiangmin Xu (CoRR, 2024)

Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph Convolution Network for sEEG SOZ Identification. - Huachao Yan; Kailing Guo; Shiwei Song; Yihai Dai; Xiaoqiang Wei; Xiaofen Xing; Xiangmin Xu (CoRR, 2024)

Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition. - Weidong Chen; Xiaofen Xing; Peihao Chen; Xiangmin Xu (IEEE Trans. Affect. Comput., 2024)

Bridge Graph Attention Based Graph Convolution Network With Multi-Scale Transformer for EEG Emotion Recognition. - Huachao Yan; Kailing Guo; Xiaofen Xing; Xiangmin Xu (IEEE Trans. Affect. Comput., 2024)

Style-conditioned music generation with Transformer-GANs. - Weining Wang 003; Jiahui Li; Yifan Li; Xiaofen Xing (Frontiers Inf. Technol. Electron. Eng., 2024)

CorrTalk: Correlation Between Hierarchical Speech and Facial Activity Variances for 3D Animation. - Zhaojie Chu; Kailing Guo; Xiaofen Xing; Yilin Lan; Bolun Cai; Xiangmin Xu (IEEE Trans. Circuits Syst. Video Technol., 2024)

TreeRAG: Unleashing the Power of Hierarchical Storage for Enhanced Knowledge Retrieval in Long Documents. - Wenyu Tao; Xiaofen Xing; Yirong Chen; Linyi Huang; Xiangmin Xu (ACL (Findings), 2025)

PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling. - Haojie Xie; Yirong Chen; Xiaofen Xing; Jingkai Lin; Xiangmin Xu (ACL (1), 2025)

MEIJU - The 1st Multimodal Emotion and Intent Joint Understanding Challenge. - Rui Liu 008; Xiaofen Xing; Zheng Lian; Haizhou Li 001; Björn W. Schuller; Haolin Zuo (ICASSP, 2025)

SoCov: Semi-Orthogonal Parametric Pooling of Covariance Matrix for Speaker Recognition. - Rongjin Li; Weibin Zhang; Dongpeng Chen; Jintao Kang; Xiaofen Xing (ICASSP, 2025)

DecoupledSynth: Enhancing Zero-Shot Text-to-Speech Via Factors Decoupling. - Jingyuan Xing; Shuaiqi Chen; Xiangmin Xu; Xiaofen Xing (ICASSP, 2025)

SSS: Signature-Sequence-Statistical Model for Exploring the Impact of Prenatal Depression on Newborns' Brain Using FNIRS. - Zhaojin Chen; Sijin Yu; Xuejiao Li; Huirong Lei; Jiyu Qian; Yingxue Yao; Zicong Zheng; Guodong Liang; Xiaofen Xing; Xin Zhang 013; Chengfang Xu (ISBI, 2025)

HedgeAgents: A Balanced-aware Multi-agent Financial Trading System. - Xiangyu Li 010; Yawen Zeng; Xiaofen Xing; Jin Xu 014; Xiangmin Xu (WWW (Companion Volume), 2025)

Multimodal speech emotion recognition via dynamic multilevel contrastive loss under local enhancement network. - Weiquan Fan; Xiangmin Xu; Fang Liu 030; Xiaofen Xing (Expert Syst. Appl., 2025)

Low-complexity speaker embedding module with feature segmentation, transformation and reconstruction for few-shot speaker identification. - Yanxiong Li; Qisheng Huang; Xiaofen Xing; Xiangmin Xu (Expert Syst. Appl., 2025)

Towards zero-shot human-object interaction detection via vision-language integration. - Weiying Xue; Qi Liu 005; Yuxiao Wang 003; Zhenao Wei; Xiaofen Xing; Xiangmin Xu (Neural Networks, 2025)

Coordination Attention based Transformers with bidirectional contrastive loss for multimodal speech emotion recognition. - Weiquan Fan; Xiangmin Xu; Guohua Zhou; Xiaofang Deng; Xiaofen Xing (Speech Commun., 2025)

Individual-Aware Attention Modulation for Unseen Speaker Emotion Recognition. - Yuanbo Fang; Xiaofen Xing; Zhaojie Chu; Yifeng Du; Xiangmin Xu (IEEE Trans. Affect. Comput., 2025)

DCPTalk: Speech-Driven 3D Face Animation With Personalized Facial Dynamic Coupling Properties. - Zhaojie Chu; Kailing Guo; Xiaofen Xing; Pengsheng Liu; Bolun Cai; Xiangmin Xu (IEEE Trans. Multim., 2025)

Compact Model Training by Low-Rank Projection With Energy Transfer. - Kailing Guo; Zhenquan Lin; Canyang Chen; Xiaofen Xing; Fang Liu 030; Xiangmin Xu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance. - Yufeng Wang 004; Jinwu Hu; Ziteng Huang; Kunyang Lin; Zitian Zhang; Peihao Chen; Yu Hu 004; Qianyue Wang; Zhuliang Yu; Bin Sun 001; Xiaofen Xing; Qingfang Zheng; et al. (CoRR, 2025)

S2SBench: A Benchmark for Quantifying Intelligence Degradation in Speech-to-Speech Large Language Models. - Yuanbo Fang; Haoze Sun; Jun Liu; Tao Zhang; Zenan Zhou; Weipeng Chen; Xiaofen Xing; Xiangmin Xu (CoRR, 2025)

CLIP-Vision Guided Few-Shot Metal Surface Defect Recognition. - Tianlei Wang; Zeliang Li; Ying Xu; Yikui Zhai; Xiaofen Xing; Kailing Guo; Pasquale Coscia; Angelo Genovese; Vincenzo Piuri; Fabio Scotti (IEEE Trans. Ind. Informatics, 2025)

Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in Conversation. - Jialong Mai; Xiaofen Xing; Yawei Li; Zhipeng Li; Jingyuan Xing; Xiangmin Xu (CoRR, 2025)

From Flat to Round: Redefining Brain Decoding with Surface-Based fMRI and Cortex Structure. - Sijin Yu; Zijiao Chen; Wenxuan Wu; Shengxian Chen; Zhongliang Liu; Jingxin Nie; Xiaofen Xing; Xiangmin Xu; Xin Zhang 013 (CoRR, 2025)