4 citations · 13 across the 11 of their papers we have counts for
11 papers
Elucidate Gender Fairness in Singing Voice Transcription
Xiangming Gu, Wei Zeng, Ye Wang
It is widely known that males and females typically possess different sound characteristics when singing, such as timbre and pitch, but it has never been explored whether these gen…
TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual Explanations
Jianing Hao, Qing Shi, Yilin Ye +1
Deep learning (DL) approaches are being increasingly used for time-series forecasting, with many efforts devoted to designing complex DL models. Recent studies have shown that the…
Deep Audio-Visual Singing Voice Transcription based on Self-Supervised Learning Models
Xiangming Gu, Wei Zeng, Jianan Zhang +2
Singing voice transcription converts recorded singing audio to musical notation. Sound contamination (such as accompaniment) and lack of annotated data make singing voice transcrip…
WYTIWYR: A User Intent-Aware Framework with Multi-modal Inputs for Visualization Retrieval
Shishi Xiao, Yihan Hou, Cheng Jin +1
Retrieving charts from a large corpus is a fundamental task that can benefit numerous applications such as visualization recommendations.The retrieved results are expected to confo…
Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative Model
Shishi Xiao, Suizi Huang, Yue Lin +2
Pictorial visualization seamlessly integrates data and semantic context into visual representation, conveying complex information in a manner that is both engaging and informative.…
Everyone Can Be Picasso? A Computational Framework into the Myth of Human versus AI Painting
Yilin Ye, Rong Huang, Kang Zhang +1
The recent advances of AI technology, particularly in AI-Generated Content (AIGC), have enabled everyone to easily generate beautiful paintings with simple text description. With t…
Keypoint-Guided Optimal Transport: Models, Algorithms, and Applications
Xiang Gu, Yucheng Yang, Wei Zeng +2
Existing Optimal Transport (OT) methods mainly derive the optimal transport plan/matching under the criterion of transport cost/distance minimization, which may cause incorrect mat…
Neural Topological Ordering for Computation Graphs
Mukul Gagrani, Corrado Rainone, Yang Yang +7
Recent works on machine learning for combinatorial optimization have shown that learning based approaches can outperform heuristic methods in terms of speed and performance. In thi…
Graph Enhanced BERT for Query Understanding
Juanhui Li, Yao Ma, Wei Zeng +4
Query understanding plays a key role in exploring users' search intents and facilitating users to locate their most desired information. However, it is inherently challenging since…
Fault Detection and Isolation of Uncertain Nonlinear Parabolic PDE Systems
Jingting Zhang, Chengzhi Yuan, Wei Zeng +1
This paper proposes a novel fault detection and isolation (FDI) scheme for distributed parameter systems modeled by a class of parabolic partial differential equations (PDEs) with…
A collaborative filtering model with heterogeneous neural networks for recommender systems
Ge Fan, Wei Zeng, Shan Sun +3
In recent years, deep neural network is introduced in recommender systems to solve the collaborative filtering problem, which has achieved immense success on computer vision, speec…