b'Zhenyu Zhang'

research

∙ 09/05/2023

A study on the impact of pre-trained model on Just-In-Time defect prediction

Previous researchers conducting Just-In-Time (JIT) defect prediction tas...

0 Yuxiang Guo, et al. ∙

research

∙ 06/29/2023

MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling

Estimating 3D human poses only from a 2D human pose sequence is thorough...

0 Zhenyu Zhang, et al. ∙

research

∙ 06/24/2023

H_2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Large Language Models (LLMs), despite their recent impressive accomplish...

0 Zhenyu Zhang, et al. ∙

research

∙ 05/30/2023

Are Large Kernels Better Teachers than Transformers for ConvNets?

This paper reveals a new appeal of the recently emerged large-kernel Con...

4 Tianjin Huang, et al. ∙

research

∙ 03/26/2023

Learning Versatile 3D Shape Generation with Improved AR Models

Auto-Regressive (AR) models have achieved impressive results in 2D image...

0 Simian Luo, et al. ∙

research

∙ 03/14/2023

Graph Transformer GANs for Graph-Constrained House Generation

We present a novel graph Transformer generative adversarial network (GTG...

0 Hao Tang, et al. ∙

research

∙ 03/03/2023

Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!

Sparse Neural Networks (SNNs) have received voluminous attention predomi...

0 Shiwei Liu, et al. ∙

research

∙ 03/02/2023

Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers

Despite their remarkable achievement, gigantic transformers encounter si...

0 Tianlong Chen, et al. ∙

research

∙ 02/24/2023

Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?

Given a robust model trained to be resilient to one or multiple types of...

0 Ruisi Cai, et al. ∙

research

∙ 11/29/2022

Towards Generalized Open Information Extraction

Open Information Extraction (OpenIE) facilitates the open-domain discove...

0 Bowen Yu, et al. ∙

research

∙ 10/27/2022

ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts

Recent progress in diffusion models has revolutionized the popular techn...

0 Zhida Feng, et al. ∙

research

∙ 10/12/2022

ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding

Recent years have witnessed the rise and success of pre-training techniq...

12 Qiming Peng, et al. ∙

research

∙ 09/23/2022

hdtg: An R package for high-dimensional truncated normal simulation

Simulating from the multivariate truncated normal distribution (MTN) is ...

0 Zhenyu Zhang, et al. ∙

research

∙ 09/20/2022

An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition

Recent works on multi-modal emotion recognition move towards end-to-end ...

0 Yang Wu, et al. ∙

research

∙ 07/14/2022

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration

Building document-grounded dialogue systems have received growing intere...

0 Zhenyu Zhang, et al. ∙

research

∙ 07/03/2022

Capacity Bounds for the Two-User IM/DD Interference Channel

This paper studies the capacity of the two-user intensity-modulation/dir...

0 Zhenyu Zhang, et al. ∙

research

∙ 06/15/2022

Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness

Certifiable robustness is a highly desirable property for adopting deep ...

4 Tianlong Chen, et al. ∙

research

∙ 05/24/2022

Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free

Trojan attacks threaten deep neural networks (DNNs) by poisoning them to...

4 Tianlong Chen, et al. ∙

research

∙ 03/12/2022

The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy

Vision transformers (ViTs) have gained increasing popularity as they are...

0 Tianlong Chen, et al. ∙

research

∙ 01/18/2022

Hamiltonian zigzag accelerates large-scale inference for conditional dependencies between complex biological traits

Inferring dependencies between complex biological traits while accountin...

0 Zhenyu Zhang, et al. ∙

research

∙ 10/30/2021

You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership

Despite tremendous success in many application scenarios, the training a...

0 Xuxi Chen, et al. ∙

research

∙ 10/18/2021

FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech Detection

As increasing development of text-to-speech (TTS) and voice conversion (...

0 Zhenyu Zhang, et al. ∙

research

∙ 10/09/2021

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning

Distantly supervised named entity recognition (DS-NER) efficiently reduc...

0 Xinghua Zhang, et al. ∙

research

∙ 09/22/2021

DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder

With the rapid development of artificial intelligence, conversational bo...

0 Zhenyu Zhang, et al. ∙

research

∙ 06/15/2021

Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection

Non-parametric face modeling aims to reconstruct 3D face only from image...

0 Zhenyu Zhang, et al. ∙

research

∙ 06/06/2021

Efficient Lottery Ticket Finding: Less Data is More

The lottery ticket hypothesis (LTH) reveals the existence of winning tic...

0 Zhenyu Zhang, et al. ∙

research

∙ 05/31/2021

GANs Can Play Lottery Tickets Too

Deep generative adversarial networks (GANs) have gained growing populari...

0 Xuxi Chen, et al. ∙

research

∙ 04/21/2021

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results

This paper reviews the first NTIRE challenge on quality enhancement of c...

9 Ren Yang, et al. ∙

research

∙ 04/16/2021

"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization

Batch normalization (BN) is a key facilitator and considered essential f...

0 Tianlong Chen, et al. ∙

research

∙ 04/15/2021

Hamiltonian zigzag sampler got more momentum than its Markovian counterpart: Equivalence of two zigzags under a momentum refreshment limit

Zigzag and other piecewise deterministic Markov process samplers have at...

0 Akihiko Nishimura, et al. ∙

research

∙ 10/16/2020

Coarse-to-Fine Pre-training for Named Entity Recognition

More recently, Named Entity Recognition hasachieved great advances aided...

0 Mengge Xue, et al. ∙

research

∙ 05/13/2020

Residual Clipping Noise in Multi-layer Optical OFDM: Modeling, Analysis, and Application

Optical orthogonal frequency division multiplexing (O-OFDM) schemes are ...

0 Zhenyu Zhang, et al. ∙

research

∙ 03/28/2020

HIN: Hierarchical Inference Network for Document-Level Relation Extraction

Document-level RE requires reading, inferring and aggregating over multi...

0 Hengzhu Tang, et al. ∙

research

∙ 02/25/2020

Event Detection with Relation-Aware Graph Convolutional Neural Networks

Event detection (ED), a key subtask of information extraction, aims to r...

0 Shiyao Cui, et al. ∙

research

∙ 12/19/2019

Large-scale inference of correlation among mixed-type biological traits with Phylogenetic multivariate probit models

Inferring concerted changes among biological traits along an evolutionar...

0 Zhenyu Zhang, et al. ∙

research

∙ 09/23/2019

Formalism for Supporting the Development of Verifiably Safe Medical Guidelines with Statecharts

Improving the effectiveness and safety of patient care is the ultimate o...

0 Chunhui Guo, et al. ∙

research

∙ 09/10/2019

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy

Joint extraction of entities and relations aims to detect entity pairs a...

0 Bowen Yu, et al. ∙

research

∙ 07/15/2019

Proximal Policy Optimization with Mixed Distributed Training

Instability and slowness are two main problems in deep reinforcement lea...

2 Zhenyu Zhang, et al. ∙

research

∙ 06/08/2019

Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation

In this paper, we propose a novel Pattern-Affinitive Propagation (PAP) f...

0 Zhenyu Zhang, et al. ∙

research

∙ 05/29/2019

Gradients do grow on trees: a linear-time O( N )-dimensional gradient for statistical phylogenetics

Calculation of the log-likelihood stands as the computational bottleneck...

0 Xiang Ji, et al. ∙

research

∙ 04/17/2019

Online Adaptation through Meta-Learning for Stereo Depth Estimation

In this work, we tackle the problem of online adaptation for stereo dept...

0 Zhenyu Zhang, et al. ∙

research

∙ 02/01/2019

Joint Entity Linking with Deep Reinforcement Learning

Entity linking is the task of aligning mentions to corresponding entitie...

0 Zheng Fang, et al. ∙

research

∙ 01/01/2019

A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks

Deep neural networks (DNNs) have been widely used in the fields such as ...

0 Long Zhang, et al. ∙

research

∙ 11/20/2018

Model and Integrate Medical Resource Availability into Verifiably Correct Executable Medical Guidelines - Technical Report

Improving effectiveness and safety of patient care is an ultimate object...

0 Chunhui Guo, et al. ∙

research

∙ 11/20/2018

Model and Integrate Medical Resource Available Times and Relationships in Verifiably Correct Executable Medical Best Practice Guideline Models (Extended Version)

Improving patient care safety is an ultimate objective for medical cyber...

0 Chunhui Guo, et al. ∙

research

∙ 11/02/2018

Design Verifiably Correct Model Patterns to Facilitate Modeling Medical Best Practice Guidelines with Statecharts (Technical Report)

Improving patient care safety is an ultimate objective for medical cyber...

0 Chunhui Guo, et al. ∙

research

∙ 07/07/2018

When Work Matters: Transforming Classical Network Structures to Graph CNN

Numerous pattern recognition applications can be formed as learning from...

0 Wenting Zhao, et al. ∙

Zhenyu Zhang

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