b'Ziyu Wang'

research

∙ 09/10/2023

Bicoptor 2.0: Addressing Challenges in Probabilistic Truncation for Enhanced Privacy-Preserving Machine Learning

This paper primarily focuses on analyzing the problems and proposing sol...

0 Lijing Zhou, et al. ∙

research

∙ 06/09/2023

Throughput of Hybrid UAV Networks with Scale-Free Topology

Unmanned Aerial Vehicles (UAVs) hold great potential to support a wide r...

0 Zhiqing Wei, et al. ∙

research

∙ 05/28/2023

Distill Gold from Massive Ores: Efficient Dataset Distillation via Critical Samples Selection

Data-efficient learning has drawn significant attention, especially give...

4 Yue Xu, et al. ∙

research

∙ 05/26/2023

HUB: Guiding Learned Optimizers with Continuous Prompt Tuning

Learned optimizers are a crucial component of meta-learning. Recent adva...

7 Gaole Dai, et al. ∙

research

∙ 05/23/2023

Bulk-Switching Memristor-based Compute-In-Memory Module for Deep Neural Network Training

The need for deep neural network (DNN) models with higher performance an...

9 Yuting Wu, et al. ∙

research

∙ 04/13/2023

PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators

Analog compute-in-memory (CIM) accelerators are becoming increasingly po...

0 Ziyu Wang, et al. ∙

research

∙ 04/10/2023

Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos

The success of the Neural Radiance Fields (NeRFs) for modeling and free-...

3 Liao Wang, et al. ∙

research

∙ 03/19/2023

RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Network

Event-based cameras are inspired by the sparse and asynchronous spike re...

2 Sangmin Yoo, et al. ∙

research

∙ 03/09/2023

NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks

Deep Learning (DL) and Deep Neural Networks (DNNs) are widely used in va...

7 Wenkai Tan, et al. ∙

research

∙ 02/16/2023

Object-centric Learning with Cyclic Walks between Parts and Whole

Learning object-centric representations from complex natural environment...

17 Ziyu Wang, et al. ∙

research

∙ 12/10/2022

HumanGen: Generating Human Radiance Fields with Explicit Priors

Recent years have witnessed the tremendous progress of 3D GANs for gener...

3 Suyi Jiang, et al. ∙

research

∙ 11/10/2022

Zebra: Deeply Integrating System-Level Provenance Search and Tracking for Efficient Attack Investigation

System auditing has emerged as a key approach for monitoring system call...

3 Xinyu Yang, et al. ∙

research

∙ 10/29/2022

Spectral Representation Learning for Conditional Moment Models

Many problems in causal inference and economics can be formulated in the...

6 Ziyu Wang, et al. ∙

research

∙ 10/05/2022

Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning

The overhead of non-linear functions dominates the performance of the se...

0 Lijing Zhou, et al. ∙

research

∙ 09/30/2022

Application of Deep Q Learning with Stimulation Results for Elevator Optimization

This paper presents a methodology for combining programming and mathemat...

22 Zheng Cao, et al. ∙

research

∙ 09/21/2022

Modeling Perceptual Loudness of Piano Tone: Theory and Applications

The relationship between perceptual loudness and physical attributes of ...

8 Yang Qu, et al. ∙

research

∙ 09/06/2022

Side-channel attack analysis on in-memory computing architectures

In-memory computing (IMC) systems have great potential for accelerating ...

0 Ziyu Wang, et al. ∙

research

∙ 08/22/2022

SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization

Matching-based methods, especially those based on space-time memory, are...

6 Zhihui Lin, et al. ∙

research

∙ 05/22/2022

Fast Instrument Learning with Faster Rates

We investigate nonlinear instrumental variable (IV) regression given hig...

5 Ziyu Wang, et al. ∙

research

∙ 03/08/2022

NeReF: Neural Refractive Field for Fluid Surface Reconstruction and Implicit Representation

Existing neural reconstruction schemes such as Neural Radiance Field (Ne...

2 Ziyu Wang, et al. ∙

research

∙ 01/28/2022

DynaMixer: A Vision MLP Architecture with Dynamic Mixing

Recently, MLP-like vision models have achieved promising performances on...

5 Ziyu Wang, et al. ∙

research

∙ 12/30/2021

Audio-to-symbolic Arrangement via Cross-modal Music Representation Learning

Could we automatically derive the score of a piano accompaniment based o...

5 Ziyu Wang, et al. ∙

research

∙ 10/26/2021

C^2SP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction

Recent development in brain-machine interface technology has made seizur...

13 Di Wu, et al. ∙

research

∙ 08/12/2021

iButter: Neural Interactive Bullet Time Generator for Human Free-viewpoint Rendering

Generating “bullet-time” effects of human free-viewpoint videos is criti...

4 Liao Wang, et al. ∙

research

∙ 06/16/2021

Scalable Quasi-Bayesian Inference for Instrumental Variable Regression

Recent years have witnessed an upsurge of interest in employing flexible...

5 Ziyu Wang, et al. ∙

research

∙ 05/05/2021

A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction

Accurate prediction of epileptic seizures allows patients to take preven...

8 Ziyu Wang, et al. ∙

research

∙ 04/28/2021

Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization

Standard dynamics models for continuous control make use of feedforward ...

5 Michael R. Zhang, et al. ∙

research

∙ 04/06/2021

MirrorNeRF: One-shot Neural Portrait RadianceField from Multi-mirror Catadioptric Imaging

Photo-realistic neural reconstruction and rendering of the human portrai...

4 Ziyu Wang, et al. ∙

research

∙ 03/30/2021

Benchmarks for Deep Off-Policy Evaluation

Off-policy evaluation (OPE) holds the promise of being able to leverage ...

13 Justin Fu, et al. ∙

research

∙ 03/17/2021

Regularized Behavior Value Estimation

Offline reinforcement learning restricts the learning process to rely on...

8 Caglar Gulcehre, et al. ∙

research

∙ 12/14/2020

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

Cycle-consistent training is widely used for jointly learning a forward ...

10 Qipeng Guo, et al. ∙

research

∙ 11/27/2020

Offline Learning from Demonstrations and Unlabeled Experience

Behavior cloning (BC) is often practical for robot learning because it a...

6 Konrad Zolna, et al. ∙

research

∙ 10/25/2020

Further Analysis of Outlier Detection with Deep Generative Models

The recent, counter-intuitive discovery that deep generative models (DGM...

6 Ziyu Wang, et al. ∙

research

∙ 08/17/2020

POP909: A Pop-song Dataset for Music Arrangement Generation

Music arrangement generation is a subtask of automatic music generation,...

0 Ziyu Wang, et al. ∙

research

∙ 08/17/2020

Learning Interpretable Representation for Controllable Polyphonic Music Generation

While deep generative models have become the leading methods for algorit...

0 Ziyu Wang, et al. ∙

research

∙ 08/17/2020

PIANOTREE VAE: Structured Representation Learning for Polyphonic Music

The dominant approach for music representation learning involves the dee...

0 Ziyu Wang, et al. ∙

research

∙ 07/17/2020

Hyperparameter Selection for Offline Reinforcement Learning

Offline reinforcement learning (RL purely from logged data) is an import...

30 Tom Le Paine, et al. ∙

research

∙ 06/26/2020

Critic Regularized Regression

Offline reinforcement learning (RL), also known as batch RL, offers the ...

32 Ziyu Wang, et al. ∙

research

∙ 06/24/2020

RL Unplugged: Benchmarks for Offline Reinforcement Learning

Offline methods for reinforcement learning have the potential to help br...

10 Caglar Gulcehre, et al. ∙

research

∙ 06/01/2020

Acme: A Research Framework for Distributed Reinforcement Learning

Deep reinforcement learning has led to many recent-and groundbreaking-ad...

22 Matt Hoffman, et al. ∙

research

∙ 02/18/2020

A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models

Score matching provides an effective approach to learning flexible unnor...

9 Ziyu Wang, et al. ∙

research

∙ 01/14/2020

Incentive Analysis of Bitcoin-NG, Revisited

Bitcoin-NG is among the first blockchain protocols to approach the near-...

0 Jianyu Niu, et al. ∙

research

∙ 12/23/2019

The Usual Suspects? Reassessing Blame for VAE Posterior Collapse

In narrow asymptotic settings Gaussian VAE models of continuous data hav...

7 Bin Dai, et al. ∙

research

∙ 10/02/2019

Task-Relevant Adversarial Imitation Learning

We show that a critical problem in adversarial imitation from high-dimen...

35 Konrad Zolna, et al. ∙

research

∙ 09/26/2019

A Framework for Data-Driven Robotics

We present a framework for data-driven robotics that makes use of a larg...

0 Serkan Cabi, et al. ∙

research

∙ 09/03/2019

Making Efficient Use of Demonstrations to Solve Hard Exploration Problems

This paper introduces R2D3, an agent that makes efficient use of demonst...

10 Tom Le Paine, et al. ∙

research

∙ 07/18/2019

Towards a Multi-Chain Future of Proof-of-Space

Proof-of-Space provides an intriguing alternative for consensus protocol...

0 Shuyang Tang, et al. ∙

research

∙ 06/09/2019

Deep Music Analogy Via Latent Representation Disentanglement

Analogy is a key solution to automated music generation, featured by its...

8 Ruihan Yang, et al. ∙

research

∙ 02/26/2019

Function Space Particle Optimization for Bayesian Neural Networks

While Bayesian neural networks (BNNs) have drawn increasing attention, t...

24 Ziyu Wang, et al. ∙

research

∙ 12/28/2018

A Framework for Automated Pop-song Melody Generation with Piano Accompaniment Arrangement

We contribute a pop-song automation framework for lead melody generation...

4 Ziyu Wang, et al. ∙

Ziyu Wang

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