b'Yichi Zhang'

research

∙ 09/21/2023

How Robust is Google's Bard to Adversarial Image Attacks?

Multimodal Large Language Models (MLLMs) that integrate text and other m...

0 Yinpeng Dong, et al. ∙

research

∙ 07/21/2023

CausE: Towards Causal Knowledge Graph Embedding

Knowledge graph embedding (KGE) focuses on representing the entities and...

0 Yichi Zhang, et al. ∙

research

∙ 06/15/2023

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

While significant progress has been made on Physics-Informed Neural Netw...

1 Zhongkai Hao, et al. ∙

research

∙ 05/11/2023

Robust Detection of Lead-Lag Relationships in Lagged Multi-Factor Models

In multivariate time series systems, key insights can be obtained by dis...

0 Yichi Zhang, et al. ∙

research

∙ 05/05/2023

How Segment Anything Model (SAM) Boost Medical Image Segmentation?

Due to the flexibility of prompting, foundation models have become the d...

0 Yichi Zhang, et al. ∙

research

∙ 05/03/2023

Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations

This work investigates pretrained audio representations for few shot Sou...

0 Vasudha Kowtha, et al. ∙

research

∙ 04/23/2023

Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding

Negative sampling (NS) is widely used in knowledge graph embedding (KGE)...

0 Yichi Zhang, et al. ∙

research

∙ 04/20/2023

Mastering Asymmetrical Multiplayer Game with Multi-Agent Asymmetric-Evolution Reinforcement Learning

Asymmetrical multiplayer (AMP) game is a popular game genre which involv...

0 Chenglu Sun, et al. ∙

research

∙ 04/04/2023

Revisiting the Evaluation of Image Synthesis with GANs

A good metric, which promises a reliable comparison between solutions, i...

4 Mengping Yang, et al. ∙

research

∙ 03/30/2023

Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving

3D object detection is an essential perception task in autonomous drivin...

0 Zijian Zhu, et al. ∙

research

∙ 03/16/2023

Rethinking Model Ensemble in Transfer-based Adversarial Attacks

Deep learning models are vulnerable to adversarial examples. Transfer-ba...

1 Huanran Chen, et al. ∙

research

∙ 03/16/2023

A System-Level Analysis of Conference Peer Review

The conference peer review process involves three constituencies with di...

0 Yichi Zhang, et al. ∙

research

∙ 02/09/2023

Binarized Neural Machine Translation

The rapid scaling of language models is motivating research using low-bi...

0 Yichi Zhang, et al. ∙

research

∙ 11/15/2022

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Recent advances of data-driven machine learning have revolutionized fiel...

0 Zhongkai Hao, et al. ∙

research

∙ 10/22/2022

DANLI: Deliberative Agent for Following Natural Language Instructions

Recent years have seen an increasing amount of work on embodied AI agent...

0 Yichi Zhang, et al. ∙

research

∙ 10/20/2022

Tele-Knowledge Pre-training for Fault Analysis

In this work, we share our experience on tele-knowledge pre-training for...

3 Zhuo Chen, et al. ∙

research

∙ 09/15/2022

Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling

Knowledge graphs (KGs) that modelings the world knowledge as structural ...

0 Yichi Zhang, et al. ∙

research

∙ 08/01/2022

Towards R-learner of conditional average treatment effects with a continuous treatment: T-identification, estimation, and inference

The R-learner has been popular in causal inference as a flexible and eff...

0 Yichi Zhang, et al. ∙

research

∙ 07/28/2022

Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation

Medical image segmentation is a fundamental and critical step in many im...

0 Rushi Jiao, et al. ∙

research

∙ 07/09/2022

Federated Learning with Quantum Secure Aggregation

This article illustrates a novel Quantum Secure Aggregation (QSA) scheme...

0 Yichi Zhang, et al. ∙

research

∙ 03/19/2022

Perturbation Analysis of Randomized SVD and its Applications to High-dimensional Statistics

Randomized singular value decomposition (RSVD) is a class of computation...

0 Yichi Zhang, et al. ∙

research

∙ 02/10/2022

Understanding Hyperdimensional Computing for Parallel Single-Pass Learning

Hyperdimensional computing (HDC) is an emerging learning paradigm that c...

0 Tao Yu, et al. ∙

research

∙ 12/05/2021

Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation

Medical image segmentation is a fundamental and critical step in many cl...

10 Yichi Zhang, et al. ∙

research

∙ 11/30/2021

PokeBNN: A Binary Pursuit of Lightweight Accuracy

Top-1 ImageNet optimization promotes enormous networks that may be impra...

0 Yichi Zhang, et al. ∙

research

∙ 10/28/2021

Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework

Despite great success on many machine learning tasks, deep neural networ...

0 Lifan Yuan, et al. ∙

research

∙ 09/30/2021

Adversarial Semantic Contour for Object Detection

Modern object detectors are vulnerable to adversarial examples, which br...

0 Yichi Zhang, et al. ∙

research

∙ 09/29/2021

BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining

Neural network robustness has become a central topic in machine learning...

0 Weizhe Hua, et al. ∙

research

∙ 09/10/2021

Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding

Large-scale, pre-trained language models (LMs) have achieved human-level...

11 Shane Storks, et al. ∙

research

∙ 08/10/2021

U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations

Development of deep learning systems for biomedical segmentation often r...

9 Yichi Zhang, et al. ∙

research

∙ 07/30/2021

Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining

Nowadays, customer's demands for E-commerce are more diversified, which ...

0 Xunlin Zhan, et al. ∙

research

∙ 06/08/2021

Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making

Entity Matching (EM) aims at recognizing entity records that denote the ...

0 Zijun Yao, et al. ∙

research

∙ 06/07/2021

Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring

Despite recent progress, learning new tasks through language instruction...

0 Yichi Zhang, et al. ∙

research

∙ 04/30/2021

Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph

Conversational Recommender Systems (CRSs) in E-commerce platforms aim to...

0 Chi-Man Wong, et al. ∙

research

∙ 04/14/2021

Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability

Multi-hop reasoning has been widely studied in recent years to obtain mo...

0 Xin Lv, et al. ∙

research

∙ 03/19/2021

Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation

Sequential recommendation as an emerging topic has attracted increasing ...

0 Zhe Xie, et al. ∙

research

∙ 03/08/2021

Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation

The success of deep learning methods in medical image segmentation tasks...

0 Yichi Zhang, et al. ∙

research

∙ 01/18/2021

Consistency of random-walk based network embedding algorithms

Random-walk based network embedding algorithms like node2vec and DeepWal...

0 Yichi Zhang, et al. ∙

research

∙ 12/31/2020

Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation

The novel Coronavirus disease (COVID-19) is a highly contagious virus an...

15 Yichi Zhang, et al. ∙

research

∙ 12/28/2020

Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI

Automatic segmentation of myocardial contours and relevant areas like in...

0 Yichi Zhang, et al. ∙

research

∙ 12/22/2020

FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations

Binary neural networks (BNNs) have 1-bit weights and activations. Such n...

0 Yichi Zhang, et al. ∙

research

∙ 10/28/2020

AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?

With the unprecedented developments in deep learning, automatic segmenta...

7 Jun Ma, et al. ∙

research

∙ 10/13/2020

Exploring Efficient Volumetric Medical Image Segmentation Using 2.5D Method: An Empirical Study

With the unprecedented developments in deep learning, many methods are p...

0 Yichi Zhang, et al. ∙

research

∙ 10/05/2020

Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph

Multi-hop reasoning has been widely studied in recent years to seek an e...

0 Xin Lv, et al. ∙

research

∙ 09/17/2020

A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning

Structured belief states are crucial for user goal tracking and database...

0 Yichi Zhang, et al. ∙

research

∙ 04/16/2020

Paraphrase Augmented Task-Oriented Dialog Generation

Neural generative models have achieved promising performance on dialog g...

1 Silin Gao, et al. ∙

research

∙ 04/11/2020

Covariance Estimation for Matrix-valued Data

Covariance estimation for matrix-valued data has received an increasing ...

3 Yichi Zhang, et al. ∙

research

∙ 03/26/2020

Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping

Electronic Health Records (EHR) data, a rich source for biomedical resea...

0 Yichi Zhang, et al. ∙

research

∙ 02/17/2020

Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations

We propose precision gating (PG), an end-to-end trainable dynamic dual-p...

0 Yichi Zhang, et al. ∙

research

∙ 11/24/2019

Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context

Conversations have an intrinsic one-to-many property, which means that m...

0 Yichi Zhang, et al. ∙

research

∙ 10/25/2019

Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection

Event detection (ED), a sub-task of event extraction, involves identifyi...

0 Shumin Deng, et al. ∙

Yichi Zhang

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