b'Jingren Zhou'

research

∙ 09/14/2023

SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions

Before applying data analytics or machine learning to a data set, a vita...

0 Yin Lin, et al. ∙

research

∙ 09/05/2023

Data-Juicer: A One-Stop Data Processing System for Large Language Models

The immense evolution in Large Language Models (LLMs) has underscored th...

0 Daoyuan Chen, et al. ∙

research

∙ 09/02/2023

ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models

Large language models (LLMs) have recently demonstrated remarkable capab...

0 Chenliang Li, et al. ∙

research

∙ 09/01/2023

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning

LLMs have demonstrated great capabilities in various NLP tasks. Differen...

0 Weirui Kuang, et al. ∙

research

∙ 08/31/2023

TouchStone: Evaluating Vision-Language Models by Language Models

Large vision-language models (LVLMs) have recently witnessed rapid advan...

0 Shuai Bai, et al. ∙

research

∙ 08/29/2023

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Large language models (LLMs) have emerged as a new paradigm for Text-to-...

0 Dawei Gao, et al. ∙

research

∙ 08/24/2023

Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

We introduce the Qwen-VL series, a set of large-scale vision-language mo...

0 Jinze Bai, et al. ∙

research

∙ 08/14/2023

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models

Foundation language models obtain the instruction-following ability thro...

0 Keming Lu, et al. ∙

research

∙ 08/09/2023

SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation

Medical image analysis using deep learning is often challenged by limite...

0 Fan Bai, et al. ∙

research

∙ 08/01/2023

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer in whi...

0 Hexin Dong, et al. ∙

research

∙ 07/20/2023

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists

Lung cancer is a leading cause of death worldwide and early screening is...

0 Jianpeng Zhang, et al. ∙

research

∙ 07/19/2023

SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid

Estimating displacement vector field via a cost volume computed in the f...

0 Zi Li, et al. ∙

research

∙ 07/19/2023

CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility

With the rapid evolution of large language models (LLMs), there is a gro...

0 Guohai Xu, et al. ∙

research

∙ 07/17/2023

Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network

Liver tumor segmentation and classification are important tasks in compu...

0 Ke Yan, et al. ∙

research

∙ 07/10/2023

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Gastric cancer is the third leading cause of cancer-related mortality wo...

0 Mingze Yuan, et al. ∙

research

∙ 07/07/2023

Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images

Radiotherapists require accurate registration of MR/CT images to effecti...

0 Xiaoyu Bai, et al. ∙

research

∙ 06/03/2023

VideoComposer: Compositional Video Synthesis with Motion Controllability

The pursuit of controllability as a higher standard of visual content cr...

0 Xiang Wang, et al. ∙

research

∙ 06/02/2023

On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions

As Federated Learning (FL) has gained increasing attention, it has becom...

0 Leijie Wu, et al. ∙

research

∙ 05/18/2023

ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

In this work, we explore a scalable way for building a general represent...

0 Peng Wang, et al. ∙

research

∙ 04/16/2023

ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human

In this paper, we present ChatPLUG, a Chinese open-domain dialogue syste...

0 Junfeng Tian, et al. ∙

research

∙ 04/15/2023

Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph

Real-world graphs are constantly evolving, which demands updates of the ...

0 Song Yu, et al. ∙

research

∙ 04/01/2023

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization

Real-world medical image segmentation has tremendous long-tailed complex...

5 Mingze Yuan, et al. ∙

research

∙ 03/23/2023

FS-Real: Towards Real-World Cross-Device Federated Learning

Federated Learning (FL) aims to train high-quality models in collaborati...

0 Daoyuan Chen, et al. ∙

research

∙ 03/13/2023

ViM: Vision Middleware for Unified Downstream Transferring

Foundation models are pre-trained on massive data and transferred to dow...

0 Yutong Feng, et al. ∙

research

∙ 03/09/2023

Cones: Concept Neurons in Diffusion Models for Customized Generation

Human brains respond to semantic features of presented stimuli with diff...

0 Zhiheng Liu, et al. ∙

research

∙ 03/02/2023

Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT

Pancreatic cancer is one of the leading causes of cancer-related death. ...

0 Bo Zhou, et al. ∙

research

∙ 03/01/2023

Rethinking Efficient Tuning Methods from a Unified Perspective

Parameter-efficient transfer learning (PETL) based on large-scale pre-tr...

0 Zeyinzi Jiang, et al. ∙

research

∙ 02/20/2023

Composer: Creative and Controllable Image Synthesis with Composable Conditions

Recent large-scale generative models learned on big data are capable of ...

0 Lianghua Huang, et al. ∙

research

∙ 02/01/2023

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Recent years have witnessed a big convergence of language, vision, and m...

0 Haiyang Xu, et al. ∙

research

∙ 02/01/2023

Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans

Deep learning empowers the mainstream medical image segmentation methods...

0 Zhanghexuan Ji, et al. ∙

research

∙ 01/28/2023

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans

Human readers or radiologists routinely perform full-body multi-organ mu...

0 Jieneng Chen, et al. ∙

research

∙ 12/08/2022

OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models

Generalist models, which are capable of performing diverse multi-modal t...

0 Jinze Bai, et al. ∙

research

∙ 11/29/2022

MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition

In this paper, we propose a novel multi-modal multi-task encoder-decoder...

0 Xiaohuan Zhou, et al. ∙

research

∙ 11/29/2022

Dimensionality-Varying Diffusion Process

Diffusion models, which learn to reverse a signal destruction process to...

0 Han Zhang, et al. ∙

research

∙ 11/21/2022

Neural Dependencies Emerging from Learning Massive Categories

This work presents two astonishing findings on neural networks learned f...

0 Ruili Feng, et al. ∙

research

∙ 11/02/2022

Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese

The tremendous success of CLIP (Radford et al., 2021) has promoted the r...

0 An Yang, et al. ∙

research

∙ 07/07/2022

Device-Cloud Collaborative Recommendation via Meta Controller

On-device machine learning enables the lightweight deployment of recomme...

0 Jiangchao Yao, et al. ∙

research

∙ 07/05/2022

Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing

Big data processing at the production scale presents a highly complex en...

0 Chenghao Lyu, et al. ∙

research

∙ 06/29/2022

Knowledge Distillation of Transformer-based Language Models Revisited

In the past few years, transformer-based pre-trained language models hav...

0 Chengqiang Lu, et al. ∙

research

∙ 06/11/2022

Sampling-based Estimation of the Number of Distinct Values in Distributed Environment

In data mining, estimating the number of distinct values (NDV) is a fund...

0 Jiajun Li, et al. ∙

research

∙ 05/24/2022

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections

Large-scale pretrained foundation models have been an emerging paradigm ...

0 Chenliang Li, et al. ∙

research

∙ 05/21/2022

Principled Knowledge Extrapolation with GANs

Human can extrapolate well, generalize daily knowledge into unseen scena...

0 Ruili Feng, et al. ∙

research

∙ 05/17/2022

M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Industrial recommender systems have been growing increasingly complex, m...

0 Zeyu Cui, et al. ∙

research

∙ 04/12/2022

FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning

The incredible development of federated learning (FL) has benefited vari...

0 Zhen Wang, et al. ∙

research

∙ 04/11/2022

FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing

Although remarkable progress has been made by the existing federated lea...

0 Yuexiang Xie, et al. ∙

research

∙ 03/29/2022

In-N-Out Generative Learning for Dense Unsupervised Video Segmentation

In this paper, we focus on the unsupervised Video Object Segmentation (V...

9 Xiao Pan, et al. ∙

research

∙ 02/07/2022

Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

In this work, we pursue a unified paradigm for multimodal pretraining to...

5 Peng Wang, et al. ∙

research

∙ 02/06/2022

Learning to be a Statistician: Learned Estimator for Number of Distinct Values

Estimating the number of distinct values (NDV) in a column is useful for...

0 Renzhi Wu, et al. ∙

research

∙ 11/11/2021

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey

Influenced by the great success of deep learning via cloud computing and...

0 Jiangchao Yao, et al. ∙

research

∙ 10/08/2021

M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining

Recent expeditious developments in deep learning algorithms, distributed...

7 Junyang Lin, et al. ∙

Jingren Zhou

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