A GPU-Accelerated Large-Scale Music Similarity Retrieval Method. - Limin Xiao; Yao Zheng; Wenqi Tang; Guangchao Yao; Li Ruan; Xiang Wang 006 (GreenCom/iThings/CPScom, 2013)

Parallelizing Dynamic Time Warping Algorithm Using Prefix Computations on GPU. - Limin Xiao; Yao Zheng; Wenqi Tang; Guangchao Yao; Li Ruan (HPCC/EUC, 2013)

A Music Recommendation Method for Large-Scale Music Library on a Heterogeneous Platform. - Yao Zheng; Limin Xiao; Wenqi Tang; Li Ruan (ICA3PP (1), 2014)

Parallelization of Dynamic Time Warping on a Heterogeneous Platform. - Yao Zheng; Limin Xiao; Wenqi Tang; Lihong Shang; Guangchao Yao; Li Ruan (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

Efficient Communications in Training Large Scale Neural Networks. - Yiyang Zhao; Linnan Wang; Wei Wu 016; George Bosilca; Richard W. Vuduc; Jinmian Ye; Wenqi Tang; Zenglin Xu (ACM Multimedia (Thematic Workshops), 2017)

Analysis of the jamming method for high frequency M-dimensional orthogonal modulated signals. - Shaozheng Zhu; Jirong Xin; Wuzhong Luo; Wenqi Tang (AIIPCC, 2019)

Performance Analysis of OSM-OFDM Systems with Carrier Frequency Offset. - Tingmin Jiang; Yue Xiao 001; Lilin Dan; Xinrong Ji; Wenqi Tang; Yan Zhao 004 (ICCT, 2020)

Reduced-complexity Transmit Antenna Selection for Spatial Modulation. - Ruotong Zhu; Hao Chen 070; Yue Xiao 001; Xinrong Ji; Wenqi Tang; Yan Zhao 004 (ICCT, 2020)

Densely Connected Multi-Stage Model with Channel Wise Subband Feature for Real-Time Speech Enhancement. - Jingdong Li; Dawei Luo; Yun Liu; Yuanyuan Zhu; Zhaoxia Li; Guohui Cui; Wenqi Tang; Wei Chen 071 (ICASSP, 2021)

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision. - Xinyu Jia; Chuang Zhu; Minzhen Li; Wenqi Tang; Wenli Zhou (ICCVW, 2021)

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides. - Feng Xu; Chuang Zhu; Wenqi Tang; Ying Wang 043; Yu Zhang; Jie Li; Hongchuan Jiang; Zhongyue Shi; Jun Liu 014; Mulan Jin (CoRR, 2021)

WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels. - Shengjie Liu; Chuang Zhu; Wenqi Tang (CoRR, 2022)

Open Set Recognition of Communication Signal Modulation Based on Deep Learning. - Xinliang Zhang; Tianyun Li; Pei Gong; Renwei Liu; Xiong Zha; Wenqi Tang (IEEE Commun. Lett., 2022)

WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels. - Shengjie Liu; Chuang Zhu; Yuan Li 014; Wenqi Tang (ICASSP, 2023)

Comparing model-based unconstrained ordination methods in the analysis of high-dimensional compositional count data. - Wenqi Tang; Pekka Korhonen; Jenni Niku; Klaus Nordhausen; Sara Taskinen (J. Data Sci. Stat. Vis., 2025)

Hard-Aware Instance Adaptive Self-Training for Unsupervised Cross-Domain Semantic Segmentation. - Chuang Zhu; Kebin Liu; Wenqi Tang; Ke Mei; Jiaqi Zou; Tie-Jun Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)