Search Results for author: Zeyu Gao

Found 19 papers, 7 papers with code

Personal Information Leakage Detection in Conversations

1 code implementation EMNLP 2020 Qiongkai Xu, Lizhen Qu, Zeyu Gao, Gholamreza Haffari

In this work, we propose to protect personal information by warning users of detected suspicious sentences generated by conversational assistants.

Language Modelling

DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning

no code implementations14 Jun 2024 Zeyu Gao, Yao Mu, Jinye Qu, Mengkang Hu, Lingyue Guo, Ping Luo, YanFeng Lu

Dual-arm robots offer enhanced versatility and efficiency over single-arm counterparts by enabling concurrent manipulation of multiple objects or cooperative execution of tasks using both arms.

CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision

1 code implementation26 Feb 2024 Hao Wang, Zeyu Gao, Chao Zhang, Zihan Sha, Mingyang Sun, Yuchen Zhou, Wenyu Zhu, Wenju Sun, Han Qiu, Xi Xiao

At the core, our approach boosts superior transfer learning capabilities by effectively aligning binary code with their semantics explanations (in natural language), resulting a model able to generate better embeddings for binary code.

Representation Learning Transfer Learning

Automated Small Kidney Cancer Detection in Non-Contrast Computed Tomography

no code implementations24 Nov 2023 William McGough, Thomas Buddenkotte, Stephan Ursprung, Zeyu Gao, Grant Stewart, Mireia Crispin-Ortuzar

In the development of our pipeline, we test three detections models: a shape model, a 2D-, and a 3D axial-sample model.


How Far Have We Gone in Vulnerability Detection Using Large Language Models

1 code implementation21 Nov 2023 Zeyu Gao, Hao Wang, Yuchen Zhou, Wenyu Zhu, Chao Zhang

Given the significant successes of large language models (LLMs) in various tasks, there is growing anticipation of their efficacy in vulnerability detection.

Vulnerability Detection

kTrans: Knowledge-Aware Transformer for Binary Code Embedding

1 code implementation24 Aug 2023 Wenyu Zhu, Hao Wang, Yuchen Zhou, JiaMing Wang, Zihan Sha, Zeyu Gao, Chao Zhang

By feeding explicit knowledge as additional inputs to the Transformer, and fusing implicit knowledge with a novel pre-training task, kTrans provides a new perspective to incorporating domain knowledge into a Transformer framework.

Outlier Detection

Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection

no code implementations21 Jun 2023 Jinye Qu, Zeyu Gao, Tielin Zhang, YanFeng Lu, Huajin Tang, Hong Qiao

We also present a SNN-based ultra-low latency and high accurate object detection model (SUHD) that achieves state-of-the-art performance on nontrivial datasets like PASCAL VOC and MS COCO, with about remarkable 750x fewer timesteps and 30% mean average precision (mAP) improvement, compared to the Spiking-YOLO on MS COCO datasets.

Object object-detection +1

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model

no code implementations8 Oct 2022 Zeyu Gao, Yao Mu, Chen Chen, Jingliang Duan, Shengbo Eben Li, Ping Luo, YanFeng Lu

End-to-end autonomous driving provides a feasible way to automatically maximize overall driving system performance by directly mapping the raw pixels from a front-facing camera to control signals.

Autonomous Driving

Meta Mask Correction for Nuclei Segmentation in Histopathological Image

no code implementations24 Nov 2021 Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li

However, the development of such an automated method requires a large amount of data with precisely annotated masks which is hard to obtain.

Meta-Learning Nuclear Segmentation +1

PIMIP: An Open Source Platform for Pathology Information Management and Integration

no code implementations9 Nov 2021 Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li

However, there is still a lack of an open and universal digital pathology platform to assist doctors in the management and analysis of digital pathological sections, as well as the management and structured description of relevant patient information.


A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data

no code implementations26 Oct 2021 Jialun Wu, Zeyu Gao, Haichuan Zhang, Ruonan Zhang, Tieliang Gong, Chunbao Wang, Chen Li

In this study, we propose a framework that combines pathological images and medical reports to generate a personalized diagnosis result for individual patient.

Descriptive whole slide images

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network

no code implementations26 Oct 2021 Jialun Wu, Yang Liu, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li

To address this issue, we propose Biomedical Information Extraction, a hybrid neural network to extract relations from biomedical text and unstructured medical reports.

Knowledge Graphs Relation +1

W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image

no code implementations26 Oct 2021 Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li

In order to take advantage of segmentation methods based on point annotation, further alleviate the manual workload, and make cancer diagnosis more efficient and accurate, it is necessary to develop an automatic nucleus detection algorithm, which can automatically and efficiently locate the position of the nucleus in the pathological image and extract valuable information for pathologists.

Cell Detection Segmentation

A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning

no code implementations26 Oct 2021 Jialun Wu, Haichuan Zhang, Zeyu Gao, Xinrui Bao, Tieliang Gong, Chunbao Wang, Chen Li

Tumor region detection, subtype and grade classification are the fundamental diagnostic indicators for renal cell carcinoma (RCC) in whole-slide images (WSIs).

Classification whole slide images

Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images

1 code implementation12 Aug 2020 Zeyu Gao, Pargorn Puttapirat, Jiangbo Shi, Chen Li

Semi-supervised learning (SSL) is an effective way to utilize unlabeled data and alleviate the need for labeled data.

whole slide images

OpenHI2 -- Open source histopathological image platform

no code implementations15 Jan 2020 Pargorn Puttapirat, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Hongyu He, Zeyu Gao, Chunbao Wang, Xiangrong Zhang, Chen Li

Transition from conventional to digital pathology requires a new category of biomedical informatic infrastructure which could facilitate delicate pathological routine.

Cloud Computing

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