A new Chinese text-to-speech system with high naturalness. - Ren-Hua Wang; Qingfeng Liu; Difei Tang (ICSLP, 1996)

Towards a Chinese text-to-speech system with higher naturalness. - Ren-Hua Wang; Qingfeng Liu; Yongsheng Teng; Deyu Xia (ICSLP, 1998)

KD2000 Chinese Text-To-Speech System. - Ren-Hua Wang; Qingfeng Liu; Yu Hu 003; Bo Yin; Xiaoru Wu (ICMI, 2000)

Prosody generation in Chinese synthesis using the template of quantified prosodic unit and base intonation contour. - Yu Hu 003; Qingfeng Liu; Ren-Hua Wang (INTERSPEECH, 2000)

A superposed prosodic model for Chinese text-to-speech synthesis. - Gao Peng Chen; Gérard Bailly; Qingfeng Liu; Ren-Hua Wang (ISCSLP, 2004)

Hearer model based stress prediction for Chinese TTS system. - Guoping Hu; Qingfeng Liu; Yu Hu 003; Ren-Hua Wang (ISCSLP, 2004)

SpeechQoogle: An Open-Domain Question Answering System with Speech Interface. - Guoping Hu; Dan Liu; Qingfeng Liu; Ren-Hua Wang (ISCSLP, 2006)

Supervised Learning Approach to Optimize Ranking Function for Chinese FAQ-Finder. - Guoping Hu; Dan Liu; Qingfeng Liu; Ren-Hua Wang (PAKDD, 2007)

DITOP: drug-induced toxicity related protein database. - Jing-Xian Zhang; Wei-Juan Huang; Jing-Hua Zeng; Wen-Hui Huang; Yi Wang; Rui Zhao; Bu-Cong Han; Qing-Feng Liu; Yuzong Chen 002; Zhi Liang Ji (Bioinform., 2007)

Maximum empirical likelihood estimation of continuous-time models with conditional characteristic functions. - Qingfeng Liu; Yoshihiko Nishiyama (Math. Comput. Simul., 2008)

Land Use/Cover Characterization with MODIS Time Series Data with Hybrid Classification Mothed over Australia for 2001 and 2003. - Kaishan Song; Mingming Jia; Mohsin Hafeez; Zongming Wang; Dongmei Lu; Lihong Zeng; Dianwei Liu; Bai Zhang; Jia Du; Qingfeng Liu (IGARSS (3), 2009)

Land Use/land Cover (LULC) Characterizaitoin with MODIS Time Series Data in the Amu River Basin. - Kaishan Song; Zongming Wang; Qingfeng Liu; Dongmei Lu; Guang Yang; Lihong Zeng; Dianwei Liu; Bai Zhang; Jia Du (IGARSS (4), 2009)

Minimum generation error training for HMM-based prediction of articulatory movements. - Tian-Yi Zhao; Zhen-Hua Ling; Ming Lei; Li-Rong Dai 001; Qingfeng Liu (ISCSLP, 2010)

Batch scheduling jobs with learning effect to minimize the total weighted completion time. - Haixia Li; Youzeng Wang; Qingfeng Liu; Sun Chuanguang (ICNC, 2011)

Some Chances and Challenges in Applying Language Technologies to Historical Studies in Chinese. - Chao-Lin Liu; Guantao Jin; Qingfeng Liu; Wei-Yun Chiu; Yih-Soong Yu (Int. J. Comput. Linguistics Chin. Lang. Process., 2011)

Construction of gene regulatory networks with colored noise. - Xuesong Wang 001; Lijing Li; Yuhu Cheng; Qingfeng Liu (Neural Comput. Appl., 2012)

A precision agriculture management system based on Internet of Things and WebGIS. - Jiuyan Ye; Bin Chen 001; Qingfeng Liu; Yu Fang 001 (Geoinformatics, 2013)

A cluster-based multiple deep neural networks method for large vocabulary continuous speech recognition. - Pan Zhou; Cong Liu 006; Qingfeng Liu; Li-Rong Dai 001; Hui Jiang 001 (ICASSP, 2013)

Ideas, Events and Actions: The Digital Humanity Study of the Concept Formation in Modern China. - Wen-Huei Cheng; Jui-Sung Yang; Wei-Yun Chiu; Chao-Lin Liu; Guantao Jin; Qingfeng Liu (DH, 2014)

A new locally linear KNN method with an improved marginal Fisher analysis for image classification. - Qingfeng Liu; Chengjun Liu (IJCB, 2014)

A novel hierarchical interaction model and HITS map for action recognition in static images. - Qingfeng Liu; Chengjun Liu (SMC, 2014)

Fast adaptation of deep neural network based on discriminant codes for speech recognition. - Shaofei Xue; Ossama Abdel-Hamid; Hui Jiang 001; Li-Rong Dai 001; Qingfeng Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Textual Analysis for Studying Chinese Historical Documents and Literary Novels. - Chao-Lin Liu; Guantao Jin; Hongsu Wang; Qingfeng Liu; Wen-Huei Cheng; Wei-Yun Chiu; Richard Tzong-Han Tsai; Yu-Chun Wang (ASE BD&SI, 2015)

Inheritable Fisher vector feature for kinship verification. - Qingfeng Liu; Ajit Puthenputhussery; Chengjun Liu (BTAS, 2015)

A novel locally linear KNN model for visual recognition. - Qingfeng Liu; Chengjun Liu (CVPR, 2015)

Unsupervised speaker adaptation of deep neural network based on the combination of speaker codes and singular value decomposition for speech recognition. - Shaofei Xue; Hui Jiang 001; Li-Rong Dai 001; Qingfeng Liu (ICASSP, 2015)

Novel general KNN classifier and general nearest mean classifier for visual classification. - Qingfeng Liu; Ajit Puthenputhussery; Chengjun Liu (ICIP, 2015)

Learning the discriminative dictionary for sparse representation by a general fisher regularized model. - Qingfeng Liu; Ajit Puthenputhussery; Chengjun Liu (ICIP, 2015)

State-Clustering Based Multiple Deep Neural Networks Modeling Approach for Speech Recognition. - Pan Zhou; Hui Jiang 001; Li-Rong Dai 001; Yu Hu 003; Qingfeng Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Sparse Representation Based Complete Kernel Marginal Fisher Analysis Framework for Computational Art Painting Categorization. - Ajit Puthenputhussery; Qingfeng Liu; Chengjun Liu (ECCV (8), 2016)

An Effective Usage and Access Control Scheme for Preventing Permission Leak in a Trusted Execution Environment. - Rui Chang; Liehui Jiang; Qing Yin; Lu Ren; Qingfeng Liu (ICCNS, 2016)

SIFT flow based genetic fisher vector feature for kinship verification. - Ajit Puthenputhussery; Qingfeng Liu; Chengjun Liu (ICIP, 2016)

A novel inheritable color space with application to kinship verification. - Qingfeng Liu; Ajit Puthenputhussery; Chengjun Liu (WACV, 2016)

Color multi-fusion fisher vector feature for fine art painting categorization and influence analysis. - Ajit Puthenputhussery; Qingfeng Liu; Chengjun Liu (WACV, 2016)

Speaker Adaptation of Hybrid NN/HMM Model for Speech Recognition Based on Singular Value Decomposition. - Shaofei Xue; Hui Jiang 001; Li-Rong Dai 001; Qingfeng Liu (J. Signal Process. Syst., 2016)

A Sparse Representation Model Using the Complete Marginal Fisher Analysis Framework and Its Applications to Visual Recognition. - Ajit Puthenputhussery; Qingfeng Liu; Chengjun Liu (IEEE Trans. Multim., 2017)

A Novel Locally Linear KNN Method With Applications to Visual Recognition. - Qingfeng Liu; Chengjun Liu (IEEE Trans. Neural Networks Learn. Syst., 2017)

Online Speaker Adaptation for LVCSR Based on Attention Mechanism. - Jia Pan; Diyuan Liu; Genshun Wan; Jun Du 002; Qingfeng Liu; Zhongfu Ye (APSIPA, 2018)

A Method for PET-CT Lung Cancer Segmentation based on Improved Random Walk. - Zhe Liu 004; Yuqing Song 001; Charlie Maere; Qingfeng Liu; Yan Zhu 018; Hu Lu; Deqi Yuan (ICPR, 2018)

Multiple Anthropological Fisher Kernel Framework and Its Application to Kinship Verification. - Ajit Puthenputhussery; Qingfeng Liu; Chengjun Liu (WACV, 2018)

Generative and Discriminative Sparse Coding for Image Classification Applications. - Ajit Puthenputhussery; Qingfeng Liu; Hao Liu; Chengjun Liu (WACV, 2018)

基于约束随机游走的肿瘤图像分割方法 (Tumor Image Segmentation Method Based on Random Walk with Constraint). - Qingfeng Liu; Zhe Liu 004; Yuqing Song 001; Yan Zhu 018 (计算机科学, 2018)

Using Generalized Gaussian Distributions to Improve Regression Error Modeling for Deep Learning-Based Speech Enhancement. - Li Chai 002; Jun Du 002; Qing-Feng Liu; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

GSANet: Semantic Segmentation With Global And Selective Attention. - Qingfeng Liu; Mostafa El-Khamy; Dongwoon Bai; Jungwon Lee (ICIP, 2020)

Nested Model Averaging on Solution Path for High-dimensional Linear Regression. - Yang Feng; Qingfeng Liu (CoRR, 2020)

Safety Monitoring and Stability of Building Foundation Pit Based on Fiber Bragg Grating Sensor. - Weihao Liu; Gaofeng Ren; Fucheng Wang; Qiguang Duan; Qingfeng Liu; Zhongchun Hu (AIAM (ACM), 2021)

A Neural-Network-Based Approach to Identifying Speakers in Novels. - Yue Chen; Zhen-Hua Ling; Qing-Feng Liu (Interspeech, 2021)

Interpretable Pneumonia Detection by Combining Deep Learning and Explainable Models With Multisource Data. - Hao Ren; Aslan B. Wong; Wanmin Lian; Weibin Cheng; Ying Zhang 001; Jianwei He; Qingfeng Liu; Jiasheng Yang; Chen Jason Zhang; Kaishun Wu; Haodi Zhang (IEEE Access, 2021)

Machine Collaboration. - Qingfeng Liu; Yang Feng (CoRR, 2021)

A Cross-Entropy-Guided Measure (CEGM) for Assessing Speech Recognition Performance and Optimizing DNN-Based Speech Enhancement. - Li Chai 002; Jun Du 002; Qing-Feng Liu; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Information Fusion in Attention Networks Using Adaptive and Multi-Level Factorized Bilinear Pooling for Audio-Visual Emotion Recognition. - Hengshun Zhou; Jun Du 002; Yuanyuan Zhang; Qing Wang 008; Qing-Feng Liu; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

DeepGBASS: Deep Guided Boundary-Aware Semantic Segmentation. - Qingfeng Liu; Hai Su; Mostafa El-Khamy; Kee-Bong Song (ICASSP, 2022)

Deep Guidance Decoder with Semantic Boundary Learning for Boundary-Aware Semantic Segmentation. - Qingfeng Liu; Hai Su; Mostafa El-Khamy (ICCE, 2022)

Panoptic-Deeplab-DVA: Improving Panoptic Deeplab with Dual Value Attention and Instance Boundary Aware Regression. - Qingfeng Liu; Mostafa El-Khamy (ICIP, 2022)

Multiexpert Adversarial Regularization for Robust and Data-Efficient Deep Supervised Learning. - Behnam Gholami; Qingfeng Liu; Mostafa El-Khamy; Jungwon Lee (IEEE Access, 2022)

Mechanical-transport-chemical modeling of electrochemical repair methods for corrosion-induced cracking in marine concrete. - Zhaozheng Meng; Qing-Feng Liu; Jin Xia; Yuxin Cai; Xingji Zhu; Yu Zhou; Leo Pel (Comput. Aided Civ. Infrastructure Eng., 2022)

Parameters Design of Composite Resonant Circuit for Outputting Dual Frequency Signals with Different Frequency Ratios. - Qingfeng Liu; Zhaoxia Leng; Mengxi Zhou; Bo Zhong (ICIT, 2023)

SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models. - Sara Babakniya; Ahmed Roushdy Elkordy; Yahya H. Ezzeldin; Qingfeng Liu; Kee-Bong Song; Mostafa El-Khamy; Salman Avestimehr (CoRR, 2023)

ANSD-MA-MSE: Adaptive Neural Speaker Diarization Using Memory-Aware Multi-Speaker Embedding. - Mao-Kui He; Jun Du 002; Qing-Feng Liu; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Space-and-speaker-aware acoustic modeling with effective data augmentation for recognition of multi-array conversational speech. - Li Chai 002; Hang Chen 001; Jun Du 002; Qing-Feng Liu; Chin-Hui Lee 001 (Speech Commun., 2023)

NAMER: Non-autoregressive Modeling for Handwritten Mathematical Expression Recognition. - Chenyu Liu; Jia Pan; Jinshui Hu; Baocai Yin; Bing Yin; Mingjun Chen; Cong Liu 006; Jun Du 002; Qingfeng Liu (ECCV (57), 2024)

1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation. - Qingfeng Liu; Mostafa El-Khamy; Kee-Bong Song (CoRR, 2024)

Quality-Aware End-to-End Audio-Visual Neural Speaker Diarization. - Mao-Kui He; Jun Du 002; Shutong Niu; Qing-Feng Liu; Chin-Hui Lee 001 (CoRR, 2024)

A Variance-Preserving Interpolation Approach for Diffusion Models With Applications to Single Channel Speech Enhancement and Recognition. - Zilu Guo; Qing Wang 008; Jun Du 002; Jia Pan; Qing-Feng Liu; Chin-Hui Lee 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion. - Haotian Wang; Yuzhe Weng; Yueyan Li; Zilu Guo; Jun Du 002; Shutong Niu; Jiefeng Ma; Shan He; Xiaoyan Wu; Qiming Hu; Bing Yin; Cong Liu 006; et al. (CVPR, 2025)

Col-OLHTR: A Novel Framework for Multimodal Online Handwritten Text Recognition. - Chenyu Liu; Jinshui Hu; Baocai Yin; Jia Pan; Bing Yin; Jun Du 002; Qingfeng Liu (ICASSP, 2025)

Controllable Conformer for Speech Enhancement and Recognition. - Zilu Guo; Jun Du 002; Sabato Marco Siniscalchi; Jia Pan; Qingfeng Liu (IEEE Signal Process. Lett., 2025)

Hardware-Friendly Static Quantization Method for Video Diffusion Transformers. - Sanghyun Yi; Qingfeng Liu; Mostafa El-Khamy (CoRR, 2025)

Modeling the chloride transport in concrete from microstructure generation to chloride diffusivity prediction. - Liang-yu Tong; Qing-Feng Liu; Qingxiang Xiong; Zhaozheng Meng; Ouali Amiri; Mingzhong Zhang (Comput. Aided Civ. Infrastructure Eng., 2025)

PRM-BAS: Enhancing Multimodal Reasoning through PRM-guided Beam Annealing Search. - Pengfei Hu 006; Zhenrong Zhang; Qikai Chang; Shuhang Liu; Jiefeng Ma; Jun Du 002; Jianshu Zhang 001; Quan Liu; Jianqing Gao; Feng Ma; Qingfeng Liu (CoRR, 2025)

READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation. - Haotian Wang; Yuzhe Weng; Jun Du 002; Haoran Xu; Xiaoyan Wu; Shan He; Bing Yin; Cong Liu 006; Jianqing Gao; Qingfeng Liu (CoRR, 2025)

Three-stage modular speaker diarization collaborating with front-end techniques in the CHiME-8 NOTSOFAR-1 challenge. - Ruoyu Wang 029; Jun Du 002; Shutong Niu; Gaobin Yang; Tian Gao 005; Jia Pan; Qing-Feng Liu (Comput. Speech Lang., 2026)