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Wenxin Tai
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2020 – today
- 2025
- [j7]Zhaorui Ma, Xinhao Hu, Fenlin Liu, Xiangyang Luo, Shicheng Zhang, Wenxin Tai, Guoming Ren, Zheng Er, Mingming Xu:
Landmark-v6: A stable IPv6 landmark representation method based on multi-feature clustering. Inf. Process. Manag. 62(1): 103921 (2025) - 2024
- [j6]Xuan Li, Chunjing Xiao, Ziliang Feng, Shikang Pang, Wenxin Tai, Fan Zhou:
Controlled graph neural networks with denoising diffusion for anomaly detection. Expert Syst. Appl. 237(Part B): 121533 (2024) - [j5]Pengyu Wang, Xucheng Luo, Wenxin Tai, Kunpeng Zhang, Goce Trajcevski, Fan Zhou:
Score-based Graph Learning for Urban Flow Prediction. ACM Trans. Intell. Syst. Technol. 15(3): 59:1-59:25 (2024) - [c25]Bin Chen, Kai Yang, Wenxin Tai, Zhangtao Cheng, Leyuan Liu, Ting Zhong, Fan Zhou:
Interpreting Temporal Knowledge Graph Reasoning (Student Abstract). AAAI 2024: 23451-23453 - [c24]Yanlong Huang, Yue Lei, Wenxin Tai, Zhangtao Cheng, Ting Zhong, Kunpeng Zhang:
Explainable Earnings Call Representation Learning (Student Abstract). AAAI 2024: 23518-23520 - [c23]Yixuan Jin, Yutao Wei, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao, Ting Zhong:
Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract). AAAI 2024: 23523-23524 - [c22]Yue Lei, Bin Chen, Wenxin Tai, Ting Zhong, Fan Zhou:
Shallow Diffusion for Fast Speech Enhancement (Student Abstract). AAAI 2024: 23556-23558 - [c21]Shikang Pang, Chunjing Xiao, Wenxin Tai, Zhangtao Cheng, Fan Zhou:
Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract). AAAI 2024: 23610-23612 - [c20]Wenzheng Shu, Yanlong Huang, Wenxin Tai, Zhangtao Cheng, Bei Hui, Goce Trajcevski:
Faithful Trip Recommender Using Diffusion Guidance (Student Abstract). AAAI 2024: 23651-23652 - [c19]Yutao Wei, Wenzheng Shu, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao, Ting Zhong:
Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract). AAAI 2024: 23682-23683 - [c18]Kai Yang, Jiayang Li, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, Yong Wang:
Improving IP Geolocation With Target-Centric IP Graph (Student Abstract). AAAI 2024: 23693-23695 - [c17]Kai Yang, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, Yong Wang, Fan Zhou:
Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck. ICASSP 2024: 7270-7274 - [c16]Chunjing Xiao, Shikang Pang, Wenxin Tai, Yanlong Huang, Goce Trajcevski, Fan Zhou:
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection. KDD 2024: 3518-3526 - [c15]Wenzheng Shu, Kangqi Xu, Wenxin Tai, Ting Zhong, Yong Wang, Fan Zhou:
Analyzing and Mitigating Repetitions in Trip Recommendation. SIGIR 2024: 2276-2280 - [i2]Chunjing Xiao, Shikang Pang, Wenxin Tai, Yanlong Huang, Goce Trajcevski, Fan Zhou:
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection. CoRR abs/2407.13251 (2024) - 2023
- [j4]Wenxin Tai, Tian Lan, Zufeng Wu, Pengyu Wang, Yixiang Wang, Fan Zhou:
Improving session-based recommendation with contrastive learning. User Model. User Adapt. Interact. 33(1): 1-42 (2023) - [c14]Wenxin Tai, Fan Zhou, Goce Trajcevski, Ting Zhong:
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement. AAAI 2023: 13627-13635 - [c13]Yi He, Wenxin Tai, Fan Zhou, Yi Yang:
Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract). AAAI 2023: 16226-16227 - [c12]Yanlong Huang, Wenxin Tai, Ting Zhong, Kunpeng Zhang:
Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract). AAAI 2023: 16234-16235 - [c11]Zhangtao Cheng, Wenxue Ye, Leyuan Liu, Wenxin Tai, Fan Zhou:
Enhancing Information Diffusion Prediction with Self-Supervised Disentangled User and Cascade Representations. CIKM 2023: 3808-3812 - [c10]Leyuan Liu, Junyi Chen, Zhangtao Cheng, Wenxin Tai, Fan Zhou:
Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning. CIKM 2023: 4089-4093 - [c9]Abdisalam Badel, Ting Zhong, Wenxin Tai, Fan Zhou:
Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources. EMNLP 2023: 7463-7469 - [c8]Chunjing Xiao, Zehua Gou, Wenxin Tai, Kunpeng Zhang, Fan Zhou:
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models. KDD 2023: 2742-2751 - [c7]Wenxin Tai, Bin Chen, Fan Zhou, Ting Zhong, Goce Trajcevski, Yong Wang, Kai Chen:
TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation. KDD 2023: 4862-4871 - [c6]Wenxin Tai, Bin Chen, Ting Zhong, Yong Wang, Kai Chen, Fan Zhou:
RIPGeo: Robust Street-Level IP Geolocation. MDM 2023: 138-147 - [c5]Wenxin Tai, Yue Lei, Fan Zhou, Goce Trajcevski, Ting Zhong:
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement. NeurIPS 2023 - 2022
- [j3]Wenxin Tai, Ting Zhong, Yuhua Mo, Fan Zhou:
Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction. IEEE Signal Process. Lett. 29: 414-418 (2022) - [j2]Fan Zhou, Pengyu Wang, Xovee Xu, Wenxin Tai, Goce Trajcevski:
Contrastive Trajectory Learning for Tour Recommendation. ACM Trans. Intell. Syst. Technol. 13(1): 4:1-4:25 (2022) - [c4]Wenxin Tai:
A Repetitive Spectrum Learning Framework for Monaural Speech Enhancement in Extremely Low SNR Environments (Student Abstract). AAAI 2022: 13063-13064 - [c3]Tian Lan, Jiajia Li, Wenxin Tai, Cong Chen, Jun Kang, Qiao Liu:
Improving Monaural Speech Enhancement with Dynamic Scene Perception Module. ICME 2022: 1-6 - 2021
- [j1]Wenxin Tai, Tian Lan, Qianhui Wang, Qiao Liu:
IDANet: An Information Distillation and Aggregation Network for Speech Enhancement. IEEE Signal Process. Lett. 28: 1998-2002 (2021) - [c2]Tian Lan, Yuxin Qian, Yilan Lyu, Refuoe Mokhosi, Wenxin Tai, Qiao Liu:
Improved Speech Separation with Time-and-Frequency Cross-Domain Feature Selection. Interspeech 2021: 3525-3529 - [i1]Wenxin Tai, Jiajia Li, Yixiang Wang, Tian Lan, Qiao Liu:
Foster Strengths and Circumvent Weaknesses: a Speech Enhancement Framework with Two-branch Collaborative Learning. CoRR abs/2110.05713 (2021) - 2020
- [c1]Tian Lan, Yuxin Qian, Wenxin Tai, Boce Chu, Qiao Liu:
Deep Attractor with Convolutional Network for Monaural Speech Separation. UEMCON 2020: 40-44
Coauthor Index
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last updated on 2024-11-19 21:47 CET by the dblp team
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