GPU Acceleration of Interior Point Methods in Large Scale SVM Training. - Tao Li 022; Hua Li; Xuechen Liu; Shuai Zhang; Kai Wang 001; Yulu Yang (TrustCom/ISPA/IUCC, 2013)

CPU-assisted GPU thread pool model for dynamic task parallelism. - Shuai Zhang; Tao Li 022; Qiankun Dong; Xuechen Liu; Yulu Yang (NAS, 2015)

HPSVM: Heterogeneous Parallel SVM with Factorization Based IPM Algorithm on CPU-GPU Cluster. - Tao Li 022; Xuechen Liu; Qiankun Dong; Wenjing Ma; Kai Wang 001 (PDP, 2016)

Teacher-Student Training for Text-Independent Speaker Recognition. - Raymond W. M. Ng; Xuechen Liu; Pawel Swietojanski (SLT, 2018)

AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale. - Jiayu Du; Xingyu Na; Xuechen Liu; Hui Bu (CoRR, 2018)

Take a Photo for My Story: Social Connectedness for the Elderly. - Xu Lin 001; Xuechen Liu; Matthias Rauterberg; Jun Hu 001 (HCI (22), 2019)

Multi-view Learning with Feature Level Fusion for Cervical Dysplasia Diagnosis. - Tingting Chen 002; Xinjun Ma; Xuechen Liu; Wenzhe Wang; Ruiwei Feng; Jintai Chen; Chunnv Yuan; Weiguo Lu; Danny Z. Chen; Jian Wu 001 (MICCAI (1), 2019)

A Comparative Re-Assessment of Feature Extractors for Deep Speaker Embeddings. - Xuechen Liu; Md. Sahidullah; Tomi Kinnunen (INTERSPEECH, 2020)

Building Proactive Voice Assistants: When and How (not) to Interact. - Ondrej Miksik; I. Munasinghe; J. Asensio-Cubero; S. Reddy Bethi; S.-T. Huang; S. Zylfo; Xuechen Liu; T. Nica; A. Mitrocsak; S. Mezza; Rory Beard; Ruibo Shi; et al. (CoRR, 2020)

Optimized Power Normalized Cepstral Coefficients Towards Robust Deep Speaker Verification. - Xuechen Liu; Md. Sahidullah; Tomi Kinnunen (ASRU, 2021)

Parameterized Channel Normalization for Far-Field Deep Speaker Verification. - Xuechen Liu; Md. Sahidullah; Tomi Kinnunen (ASRU, 2021)

Learnable MFCCs for Speaker Verification. - Xuechen Liu; Md. Sahidullah; Tomi Kinnunen (ISCAS, 2021)

UIAI System for Short-Duration Speaker Verification Challenge 2020. - Md. Sahidullah; Achintya Kumar Sarkar; Ville Vestman; Xuechen Liu; Romain Serizel; Tomi Kinnunen; Zheng-Hua Tan; Emmanuel Vincent 001 (SLT, 2021)

Benchmarking and challenges in security and privacy for voice biometrics. - Jean-François Bonastre; Héctor Delgado; Nicholas W. D. Evans; Tomi Kinnunen; Kong Aik Lee; Xuechen Liu; Andreas Nautsch; Paul-Gauthier Noé; Jose Patino 001; Md. Sahidullah; Brij Mohan Lal Srivastava; Massimiliano Todisco; et al. (CoRR, 2021)

ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan. - Héctor Delgado; Nicholas W. D. Evans; Tomi Kinnunen; Kong Aik Lee; Xuechen Liu; Andreas Nautsch; Jose Patino 001; Md. Sahidullah; Massimiliano Todisco; Xin Wang 037; Junichi Yamagishi (CoRR, 2021)

ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection. - Junichi Yamagishi; Xin Wang 037; Massimiliano Todisco; Md. Sahidullah; Jose Patino 001; Andreas Nautsch; Xuechen Liu; Kong Aik Lee; Tomi Kinnunen; Nicholas W. D. Evans; Héctor Delgado (CoRR, 2021)

Optimizing Multi-Taper Features for Deep Speaker Verification. - Xuechen Liu; Md. Sahidullah; Tomi Kinnunen (IEEE Signal Process. Lett., 2021)

A Transfer Learning Based Super-Resolution Microscopy for Biopsy Slice Images: The Joint Methods Perspective. - Jintai Chen; Haochao Ying; Xuechen Liu; Jingjing Gu; Ruiwei Feng; Tingting Chen 002; Honghao Gao; Jian Wu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A Deep Learning Approach for Colonoscopy Pathology WSI Analysis: Accurate Segmentation and Classification. - Ruiwei Feng; Xuechen Liu; Jintai Chen; Danny Z. Chen; Honghao Gao; Jian Wu 001 (IEEE J. Biomed. Health Informatics, 2021)

Learnable Nonlinear Compression for Robust Speaker Verification. - Xuechen Liu; Md. Sahidullah; Tomi Kinnunen (ICASSP, 2022)

Spoofing-Aware Speaker Verification with Unsupervised Domain Adaptation. - Xuechen Liu; Md. Sahidullah; Tomi Kinnunen (Odyssey, 2022)

Baseline Systems for the First Spoofing-Aware Speaker Verification Challenge: Score and Embedding Fusion. - Hye-jin Shim; Hemlata Tak; Xuechen Liu; Hee-Soo Heo; Jee-weon Jung; Joon Son Chung; Soo-Whan Chung; Ha-Jin Yu; Bong-Jin Lee; Massimiliano Todisco; Héctor Delgado; Kong Aik Lee; et al. (Odyssey, 2022)

Baselines and Protocols for Household Speaker Recognition. - Alexey Sholokhov; Xuechen Liu; Md. Sahidullah; Tomi Kinnunen (Odyssey, 2022)

I4U System Description for NIST SRE'20 CTS Challenge. - Kong Aik Lee; Tomi Kinnunen; Daniele Colibro; Claudio Vair; Andreas Nautsch; Hanwu Sun; Liang He 003; Tianyu Liang; Qiongqiong Wang; Mickael Rouvier; Pierre-Michel Bousquet; Rohan Kumar Das; et al. (CoRR, 2022)

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. - Qian Da; Xiaodi Huang; Zhongyu Li 002; Yanfei Zuo; Chenbin Zhang; Jingxin Liu; Wen Chen 001; Jiahui Li 005; Dou Xu; Zhiqiang Hu; Hongmei Yi; Yan Guo; et al. (Medical Image Anal., 2022)

ChroNet: A multi-task learning based approach for prediction of multiple chronic diseases. - Ruiwei Feng; Yan Cao; Xuechen Liu; Tingting Chen 002; Jintai Chen; Danny Z. Chen; Honghao Gao; Jian Wu 001 (Multim. Tools Appl., 2022)

Discriminative Cervical Lesion Detection in Colposcopic Images With Global Class Activation and Local Bin Excitation. - Tingting Chen 002; Xuechen Liu; Ruiwei Feng; Wenzhe Wang; Chunnv Yuan; Weiguo Lu; Haizhen He; Honghao Gao; Haochao Ying; Danny Z. Chen; Jian Wu 001 (IEEE J. Biomed. Health Informatics, 2022)

"Rosita Reads With My Family": Developing A Bilingual Conversational Agent to Support Parent-Child Shared Reading. - Ying Xu; Kunlei He; Valery Vigil; Santiago Ojeda-Ramirez; Xuechen Liu; Julian Levine; Kelsyann Cervera; Mark Warschauer (IDC, 2023)

Speaker-Aware Anti-spoofing. - Xuechen Liu; Md. Sahidullah; Kong Aik Lee; Tomi Kinnunen (INTERSPEECH, 2023)

Towards Single Integrated Spoofing-aware Speaker Verification Embeddings. - Sung Hwan Mun; Hye-jin Shim; Hemlata Tak; Xin Wang 037; Xuechen Liu; Md. Sahidullah; Myeonghun Jeong; Min Hyun Han; Massimiliano Todisco; Kong Aik Lee; Junichi Yamagishi; Nicholas W. D. Evans; et al. (INTERSPEECH, 2023)

Distilling Multi-Level X-vector Knowledge for Small-footprint Speaker Verification. - Xuechen Liu; Md. Sahidullah; Tomi Kinnunen (CoRR, 2023)

Speaker-Text Retrieval via Contrastive Learning. - Xuechen Liu; Xin Wang 037; Erica Cooper; Xiaoxiao Miao; Junichi Yamagishi (CoRR, 2023)

ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild. - Xuechen Liu; Xin Wang 037; Md. Sahidullah; Jose Patino 001; Héctor Delgado; Tomi Kinnunen; Massimiliano Todisco; Junichi Yamagishi; Nicholas W. D. Evans; Andreas Nautsch; Kong Aik Lee (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

A Preliminary Case Study on Long-Form In-the-Wild Audio Spoofing Detection. - Xuechen Liu; Xin Wang 037; Junichi Yamagishi (BIOSIG, 2024)

Quantifying Source Speaker Leakage in One-to-One Voice Conversion. - Scott Wellington; Xuechen Liu; Junichi Yamagishi (BIOSIG, 2024)

Mathemyths: Leveraging Large Language Models to Teach Mathematical Language through Child-AI Co-Creative Storytelling. - Chao Zhang 082; Xuechen Liu; Katherine Ziska; Soobin Jeon; Chi-Lin Yu; Ying Xu (CHI, 2024)

Generating Speakers by Prompting Listener Impressions for Pre-trained Multi-Speaker Text-to-Speech Systems. - Zhengyang Chen; Xuechen Liu; Erica Cooper; Junichi Yamagishi; Yanmin Qian (INTERSPEECH, 2024)

Target Speaker Extraction with Curriculum Learning. - Yun Liu; Xuechen Liu; Xiaoxiao Miao; Junichi Yamagishi (INTERSPEECH, 2024)

A Reliability-Based Design Optimization Method with Probabilistic-Interval Hybrid Reliability Model and Adaptive Kriging Model. - Xiang Ding; Ling Zhou; Liang Qiao; Xuechen Liu; Xiaoshu He (ISSSR, 2024)

Disentangling The Prosody And Semantic Information With Pre-Trained Model For In-Context Learning Based Zero-Shot Voice Conversion. - Zhengyang Chen; Shuai Wang 016; Mingyang Zhang 003; Xuechen Liu; Junichi Yamagishi; Yanmin Qian (SLT, 2024)

Improving Curriculum Learning For Target Speaker Extraction With Synthetic Speakers. - Yun Liu; Xuechen Liu; Junichi Yamagishi (SLT, 2024)

Open-Source Conversational AI with SpeechBrain 1.0. - Mirco Ravanelli; Titouan Parcollet; Adel Moumen; Sylvain de Langen; Cem Subakan; Peter Plantinga; Yingzhi Wang 002; Pooneh Mousavi; Luca Della Libera; Artem Ploujnikov; Francesco Paissan; Davide Borra; et al. (CoRR, 2024)

ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale. - Xin Wang 037; Héctor Delgado; Hemlata Tak; Jee-weon Jung; Hye-jin Shim; Massimiliano Todisco; Ivan Kukanov; Xuechen Liu; Md. Sahidullah; Tomi Kinnunen; Nicholas W. D. Evans; Kong Aik Lee; et al. (CoRR, 2024)

AfriHuBERT: A self-supervised speech representation model for African languages. - Jesujoba O. Alabi; Xuechen Liu; Dietrich Klakow; Junichi Yamagishi (CoRR, 2024)

Libri2Vox Dataset: Target Speaker Extraction with Diverse Speaker Conditions and Synthetic Data. - Yun Liu; Xuechen Liu; Xiaoxiao Miao; Junichi Yamagishi (CoRR, 2024)

Generalizing Speaker Verification for Spoof Awareness in the Embedding Space. - Xuechen Liu; Md. Sahidullah; Kong Aik Lee; Tomi Kinnunen (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech. - Xin Wang 037; Héctor Delgado; Hemlata Tak; Jee-weon Jung; Hye-jin Shim; Massimiliano Todisco; Ivan Kukanov; Xuechen Liu; Md. Sahidullah; Tomi Kinnunen; Nicholas W. D. Evans; Kong Aik Lee; et al. (Zenodo, 2024)

"Carlitos the Curious Caterpillar": Exploring Teacher-AI Co-Creation of Culturally Responsive Educational Materials for Young Learners. - Kunlei He; Xuechen Liu; Ying Xu; Andres S. Bustamante; Mark Warschauer (IDC, 2025)

Children's Narrative Participation in Story Co-Creation with AI vs. Human Partners: Response Styles and Narrative Features. - Xuechen Liu; Yuqing Xing; Youran Chen; Wenfei Pei; Jinshil Choi; Ying Xu (IDC, 2025)

Explaining Speaker and Spoof Embeddings via Probing. - Xuechen Liu; Junichi Yamagishi; Md. Sahidullah; Tomi Kinnunen (ICASSP, 2025)

A Hierarchical Probabilistic Framework for Incremental Knowledge Tracing in Classroom Settings. - Xinyi Gao; Qiucheng Wu; Yang Zhang; Xuechen Liu; Kaizhi Qian; Ying Xu; Shiyu Chang (CoRR, 2025)

From Sharpness to Better Generalization for Speech Deepfake Detection. - Wen Huang 004; Xuechen Liu; Xin Wang 037; Junichi Yamagishi; Yanmin Qian (CoRR, 2025)

LENS-DF: Deepfake Detection and Temporal Localization for Long-Form Noisy Speech. - Xuechen Liu; Wanying Ge; Xin Wang 037; Junichi Yamagishi (CoRR, 2025)

ASVspoof 5: Design, collection and validation of resources for spoofing, deepfake, and adversarial attack detection using crowdsourced speech. - Xin Wang 037; Héctor Delgado; Hemlata Tak; Jee-weon Jung; Hye-jin Shim; Massimiliano Todisco; Ivan Kukanov; Xuechen Liu; Md. Sahidullah; Tomi Kinnunen; Nicholas W. D. Evans; Kong Aik Lee; et al. (Comput. Speech Lang., 2026)