Search Results for author: Yifan Zhu

Found 12 papers, 1 papers with code

Is Stochastic Gradient Descent Near Optimal?

no code implementations18 Sep 2022 Yifan Zhu, Hong Jun Jeon, Benjamin Van Roy

However, existing computational theory suggests that, even for single-hidden-layer teacher networks, to attain small error for all such teacher networks, the computation required to achieve this sample complexity is intractable.

Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D Line Drawings

no code implementations6 Sep 2022 Jia Zheng, Yifan Zhu, Kehan Wang, Qiang Zou, Zihan Zhou

In this paper, we revisit the long-standing problem of automatic reconstruction of 3D objects from single line drawings.

3D Reconstruction

AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query

no code implementations15 Aug 2022 Zepeng Huai, Zhe Wang, Yifan Zhu, Peng Zhang

Paper recommendation with user-generated keyword is to suggest papers that simultaneously meet user's interests and are relevant to the input keyword.

Click-Through Rate Prediction Graph Representation Learning +1

An Information-Theoretic Framework for Supervised Learning

no code implementations1 Mar 2022 Hong Jun Jeon, Yifan Zhu, Benjamin Van Roy

For a particular prior distribution on weights, we establish sample complexity bounds that are simultaneously width independent and linear in depth.

Over-the-Air Aggregation for Federated Learning: Waveform Superposition and Prototype Validation

no code implementations27 Oct 2021 Huayan Guo, Yifan Zhu, Haoyu Ma, Vincent K. N. Lau, Kaibin Huang, Xiaofan Li, Huabin Nong, Mingyu Zhou

In this paper, we develop an orthogonal-frequency-division-multiplexing (OFDM)-based over-the-air (OTA) aggregation solution for wireless federated learning (FL).

Federated Learning

Fully Three-dimensional Radial Visualization

no code implementations19 Oct 2021 Yifan Zhu, Fan Dai, Ranjan Maitra

We develop methodology for three-dimensional (3D) radial visualization (RadViz) of multidimensional datasets.

Heterogeneous Graph-Based Multimodal Brain Network Learning

no code implementations16 Oct 2021 Gen Shi, Yifan Zhu, Wenjin Liu, Quanming Yao, Xuesong Li

Other experiments also indicate that our proposed model with a pretraining strategy alleviates the problem of limited labelled data and yields a significant improvement in accuracy.

Disease Prediction

Systematic design and experimental demonstration of transmission-type multiplexed acoustic meta-holograms

no code implementations7 Jan 2021 Yifan Zhu, Nikhil JRK Gerard, Xiaoxing Xia, Grant C. Stevenson, Liyun Cao, Shiwang Fan, Christopher M. Spadaccini, Yun Jing, Badreddine Assouar

Acoustic holograms have promising applications in sound-field reconstruction, particle manipulation, ultrasonic haptics and therapy.

Applied Physics

Transfusion: A Novel SLAM Method Focused on Transparent Objects

no code implementations ICCV 2021 Yifan Zhu, Jiaxiong Qiu, Bo Ren

In this paper, we propose a novel SLAM approach called transfusion that allows transparent object existence and recovery in the video input.

Transparent objects

A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors

no code implementations4 Mar 2020 Fanyi Xiao, Ling Pei, Lei Chu, Danping Zou, Wenxian Yu, Yifan Zhu, Tao Li

The experimental results show that the proposed method can surprisingly converge in a few iterations and achieve an accuracy of 91. 15% on a real IMU dataset, demonstrating the efficiency and effectiveness of the proposed method.

Human Activity Recognition Transfer Learning

Visualization of Labeled Mixed-featured Datasets

no code implementations6 Apr 2019 Yifan Zhu, Fan Dai, Ranjan Maitra

We develop methodology for visualization of labeled mixed-featured datasets.

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