Deep Attractor with Convolutional Network for Monaural Speech Separation. - Tian Lan 005; Yuxin Qian; Wenxin Tai; Boce Chu; Qiao Liu 003 (UEMCON, 2020)

Improved Speech Separation with Time-and-Frequency Cross-Domain Feature Selection. - Tian Lan 005; Yuxin Qian; Yilan Lyu; Refuoe Mokhosi; Wenxin Tai; Qiao Liu 003 (Interspeech, 2021)

Foster Strengths and Circumvent Weaknesses: a Speech Enhancement Framework with Two-branch Collaborative Learning. - Wenxin Tai; Jiajia Li; Yixiang Wang; Tian Lan 005; Qiao Liu 003 (CoRR, 2021)

IDANet: An Information Distillation and Aggregation Network for Speech Enhancement. - Wenxin Tai; Tian Lan 005; Qianhui Wang; Qiao Liu 003 (IEEE Signal Process. Lett., 2021)

A Repetitive Spectrum Learning Framework for Monaural Speech Enhancement in Extremely Low SNR Environments (Student Abstract). - Wenxin Tai (AAAI, 2022)

Improving Monaural Speech Enhancement with Dynamic Scene Perception Module. - Tian Lan 005; Jiajia Li; Wenxin Tai; Cong Chen; Jun Kang; Qiao Liu 003 (ICME, 2022)

Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction. - Wenxin Tai; Ting Zhong; Yuhua Mo; Fan Zhou 002 (IEEE Signal Process. Lett., 2022)

Contrastive Trajectory Learning for Tour Recommendation. - Fan Zhou 002; Pengyu Wang; Xovee Xu; Wenxin Tai; Goce Trajcevski (ACM Trans. Intell. Syst. Technol., 2022)

Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract). - Yi He; Wenxin Tai; Fan Zhou 002; Yi Yang 042 (AAAI, 2023)

Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract). - Yanlong Huang; Wenxin Tai; Ting Zhong; Kunpeng Zhang 001 (AAAI, 2023)

Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement. - Wenxin Tai; Fan Zhou 002; Goce Trajcevski; Ting Zhong (AAAI, 2023)

Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations. - Zhangtao Cheng; Wenxue Ye; Leyuan Liu 002; Wenxin Tai; Fan Zhou 002 (CIKM, 2023)

Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning. - Leyuan Liu 002; Junyi Chen; Zhangtao Cheng; Wenxin Tai; Fan Zhou 002 (CIKM, 2023)

Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources. - Abdisalam Badel; Ting Zhong; Wenxin Tai; Fan Zhou 002 (EMNLP, 2023)

TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation. - Wenxin Tai; Bin Chen; Fan Zhou 002; Ting Zhong; Goce Trajcevski; Yong Wang 046; Kai Chen 005 (KDD, 2023)

Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models. - Chunjing Xiao; Zehua Gou; Wenxin Tai; Kunpeng Zhang 001; Fan Zhou 002 (KDD, 2023)

RIPGeo: Robust Street-Level IP Geolocation. - Wenxin Tai; Bin Chen; Ting Zhong; Yong Wang 046; Kai Chen 005; Fan Zhou 002 (MDM, 2023)

DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement. - Wenxin Tai; Yue Lei; Fan Zhou 002; Goce Trajcevski; Ting Zhong (NeurIPS, 2023)

Improving session-based recommendation with contrastive learning. - Wenxin Tai; Tian Lan 005; Zufeng Wu; Pengyu Wang; Yixiang Wang; Fan Zhou 002 (User Model. User Adapt. Interact., 2023)

Interpreting Temporal Knowledge Graph Reasoning (Student Abstract). - Bin Chen; Kai Yang; Wenxin Tai; Zhangtao Cheng; Leyuan Liu 002; Ting Zhong; Fan Zhou 002 (AAAI, 2024)

Explainable Earnings Call Representation Learning (Student Abstract). - Yanlong Huang; Yue Lei; Wenxin Tai; Zhangtao Cheng; Ting Zhong; Kunpeng Zhang 001 (AAAI, 2024)

Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract). - Yixuan Jin; Yutao Wei; Zhangtao Cheng; Wenxin Tai; Chunjing Xiao; Ting Zhong (AAAI, 2024)

Shallow Diffusion for Fast Speech Enhancement (Student Abstract). - Yue Lei; Bin Chen; Wenxin Tai; Ting Zhong; Fan Zhou 002 (AAAI, 2024)

Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract). - Shikang Pang; Chunjing Xiao; Wenxin Tai; Zhangtao Cheng; Fan Zhou 002 (AAAI, 2024)

Faithful Trip Recommender Using Diffusion Guidance (Student Abstract). - Wenzheng Shu; Yanlong Huang; Wenxin Tai; Zhangtao Cheng; Bei Hui; Goce Trajcevski (AAAI, 2024)

Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract). - Yutao Wei; Wenzheng Shu; Zhangtao Cheng; Wenxin Tai; Chunjing Xiao; Ting Zhong (AAAI, 2024)

Improving IP Geolocation With Target-Centric IP Graph (Student Abstract). - Kai Yang; Jiayang Li; Wenxin Tai; Zhenhui Li; Ting Zhong; Guangqiang Yin; Yong Wang 011 (AAAI, 2024)

Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck. - Kai Yang; Wenxin Tai; Zhenhui Li; Ting Zhong; Guangqiang Yin; Yong Wang 046; Fan Zhou 002 (ICASSP, 2024)

Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection. - Chunjing Xiao; Shikang Pang; Wenxin Tai; Yanlong Huang; Goce Trajcevski; Fan Zhou 002 (KDD, 2024)

Analyzing and Mitigating Repetitions in Trip Recommendation. - Wenzheng Shu; Kangqi Xu; Wenxin Tai; Ting Zhong; Yong Wang 046; Fan Zhou 002 (SIGIR, 2024)

Controlled graph neural networks with denoising diffusion for anomaly detection. - Xuan Li; Chunjing Xiao; Ziliang Feng; Shikang Pang; Wenxin Tai; Fan Zhou 002 (Expert Syst. Appl., 2024)

Score-based Graph Learning for Urban Flow Prediction. - Pengyu Wang; Xucheng Luo; Wenxin Tai; Kunpeng Zhang 001; Goce Trajcevski; Fan Zhou 002 (ACM Trans. Intell. Syst. Technol., 2024)

Mapping the unseen: Robust IP geolocation through the lens of uncertainty quantification. - Xueting Liu 005; Xiaohan Wang; Chao Li 053; Joojo Walker; Wenxin Tai; Ting Zhong; Yong Wang 046; Fan Zhou 002; Kai Chen 005 (Comput. Networks, 2025)

Extracting key insights from earnings call transcript via information-theoretic contrastive learning. - Yanlong Huang; Wenxin Tai; Fan Zhou 002; Qiang Gao 003; Ting Zhong; Kunpeng Zhang 001 (Inf. Process. Manag., 2025)

Landmark-v6: A stable IPv6 landmark representation method based on multi-feature clustering. - Zhaorui Ma; Xinhao Hu; Fenlin Liu; Xiangyang Luo; Shicheng Zhang; Wenxin Tai; Guoming Ren; Zheng Er; Mingming Xu (Inf. Process. Manag., 2025)

Information diffusion prediction via meta-knowledge learners. - Zhangtao Cheng; Jienan Zhang; Xovee Xu; Wenxin Tai; Fan Zhou 002; Goce Trajcevski; Ting Zhong (Inf. Sci., 2025)

Progressive Skip Connection Improves Consistency of Diffusion-Based Speech Enhancement. - Yue Lei; Xucheng Luo; Wenxin Tai; Fan Zhou 002 (IEEE Signal Process. Lett., 2025)