Search Results for author: Feng Jiang

Found 59 papers, 22 papers with code

Key Mention Pairs Guided Document-Level Relation Extraction

no code implementations COLING 2022 Feng Jiang, Jianwei Niu, Shasha Mo, Shengda Fan

To this end, we propose a novel DocRE model called Key Mention pairs Guided Relation Extractor (KMGRE) to directly model mention-level relations, containing two modules: a mention-level relation extractor and a key instance classifier.

Document-level Relation Extraction Relation

Automated Chinese Essay Scoring from Multiple Traits

no code implementations COLING 2022 Yaqiong He, Feng Jiang, Xiaomin Chu, Peifeng Li

Automatic Essay Scoring (AES) is the task of using the computer to evaluate the quality of essays automatically.

基于新闻图式结构的篇章功能语用识别方法(Discourse Functional Pragmatics Recognition Based on News Schemata)

no code implementations CCL 2022 Mengqi Du, Feng Jiang, Xiaomin Chu, Peifeng Li

“篇章分析是自然语言处理领域的研究热点和重点, 篇章功能语用研究旨在分析篇章单元在篇章中的功能和作用, 有助于深入理解篇章的主题和内容。目前篇章分析研究以形式语法为主, 而篇章作为一个整体的语义单位, 其功能和语义却没有引起足够重视。已有功能语用研究以面向事件抽取任务为主, 并未进行通用领域的功能语用研究。鉴于功能语用研究的重要性和研究现状, 本文提出了基于新闻图式结构的篇章功能语用识别方法来识别篇章功能语用。该方法在获取段落交互信息的同时又融入了篇章的新闻图式结构信息, 并结合段落所在篇章中的位置信息, 从而有效地提高了篇章功能语用的识别能力。在汉语宏观篇章树库的实验结果证明, 本文提出的方法优于所有基准系统。”

TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models

no code implementations30 May 2024 Chen Zhang, Chengguang Tang, Dading Chong, Ke Shi, Guohua Tang, Feng Jiang, Haizhou Li

This automatic mining process is efficiently accomplished through the collaboration between a large-scale teacher model and a small-scale student model.

Instruction Following

S-IQA Image Quality Assessment With Compressive Sampling

no code implementations26 Apr 2024 Ronghua Liao, Chen Hui, Lang Yuan, Feng Jiang

No-Reference Image Quality Assessment (IQA) aims at estimating image quality in accordance with subjective human perception.

No-Reference Image Quality Assessment NR-IQA

SC-HVPPNet: Spatial and Channel Hybrid-Attention Video Post-Processing Network with CNN and Transformer

no code implementations23 Apr 2024 Tong Zhang, Wenxue Cui, Shaohui Liu, Feng Jiang

Convolutional Neural Network (CNN) and Transformer have attracted much attention recently for video post-processing (VPP).

Video Restoration

SQL-CRAFT: Text-to-SQL through Interactive Refinement and Enhanced Reasoning

no code implementations20 Feb 2024 Hanchen Xia, Feng Jiang, Naihao Deng, Cunxiang Wang, Guojiang Zhao, Rada Mihalcea, Yue Zhang

Modern LLMs have become increasingly powerful, but they are still facing challenges in specialized tasks such as Text-to-SQL.


Humans or LLMs as the Judge? A Study on Judgement Biases

no code implementations16 Feb 2024 Guiming Hardy Chen, Shunian Chen, Ziche Liu, Feng Jiang, Benyou Wang

Adopting human and large language models (LLM) as judges (\textit{a. k. a} human- and LLM-as-a-judge) for evaluating the performance of LLMs has recently gained attention.

Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation

no code implementations24 Jan 2024 Saiyang Na, Yuzhi Guo, Feng Jiang, Hehuan Ma, Junzhou Huang

To address this, we introduce Segment Any Cell (SAC), an innovative framework that enhances SAM specifically for nuclei segmentation.

Image Segmentation Segmentation +1

Removal and Selection: Improving RGB-Infrared Object Detection via Coarse-to-Fine Fusion

1 code implementation19 Jan 2024 Tianyi Zhao, Maoxun Yuan, Feng Jiang, Nan Wang, Xingxing Wei

Specifically, following this perspective, we design a Redundant Spectrum Removal module to coarsely remove interfering information within each modality and a Dynamic Feature Selection module to finely select the desired features for feature fusion.

feature selection Object +3

Bridging Research and Readers: A Multi-Modal Automated Academic Papers Interpretation System

1 code implementation17 Jan 2024 Feng Jiang, Kuang Wang, Haizhou Li

In the contemporary information era, significantly accelerated by the advent of Large-scale Language Models, the proliferation of scientific literature is reaching unprecedented levels.

HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs

1 code implementation16 Nov 2023 Junying Chen, Xidong Wang, Anningzhe Gao, Feng Jiang, Shunian Chen, Hongbo Zhang, Dingjie Song, Wenya Xie, Chuyi Kong, Jianquan Li, Xiang Wan, Haizhou Li, Benyou Wang

We validate the new protocol in the domains where proprietary LLMs like ChatGPT perform relatively poorly, such as Traditional Chinese Medicine.

Domain Adaptation Language Modelling

Quantifying Self-diagnostic Atomic Knowledge in Chinese Medical Foundation Model: A Computational Analysis

1 code implementation18 Oct 2023 Yaxin Fan, Feng Jiang, Benyou Wang, Peifeng Li, Haizhou Li

Recent studies primarily focused on the quality of FMs evaluated by GPT-4 or their ability to pass medical exams, no studies have quantified the extent of self-diagnostic atomic knowledge stored in FMs' memory, which is the basis of foundation models to provide factual and reliable suggestions.

Instruction Following

Revisiting Multi-modal 3D Semantic Segmentation in Real-world Autonomous Driving

no code implementations13 Oct 2023 Feng Jiang, Chaoping Tu, Gang Zhang, Jun Li, Hanqing Huang, Junyu Lin, Di Feng, Jian Pu

LiDAR and camera are two critical sensors for multi-modal 3D semantic segmentation and are supposed to be fused efficiently and robustly to promise safety in various real-world scenarios.

3D Semantic Segmentation Autonomous Driving +1

BDEC:Brain Deep Embedded Clustering model

no code implementations12 Sep 2023 Xiaoxiao Ma, Chunzhi Yi, Zhicai Zhong, Hui Zhou, Baichun Wei, Haiqi Zhu, Feng Jiang

An essential premise for neuroscience brain network analysis is the successful segmentation of the cerebral cortex into functionally homogeneous regions.

Clustering Dimensionality Reduction

PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator

no code implementations21 Aug 2023 Chuyi Kong, Yaxin Fan, Xiang Wan, Feng Jiang, Benyou Wang

The unparalleled performance of closed-sourced ChatGPT has sparked efforts towards its democratization, with notable strides made by leveraging real user and ChatGPT dialogues, as evidenced by Vicuna.

Language Modelling Large Language Model

CMB: A Comprehensive Medical Benchmark in Chinese

1 code implementation17 Aug 2023 Xidong Wang, Guiming Hardy Chen, Dingjie Song, Zhiyi Zhang, Zhihong Chen, Qingying Xiao, Feng Jiang, Jianquan Li, Xiang Wan, Benyou Wang, Haizhou Li

We hope this benchmark provide first-hand experience in existing LLMs for medicine and also facilitate the widespread adoption and enhancement of medical LLMs within China.

GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning

1 code implementation26 Jul 2023 Yaxin Fan, Feng Jiang, Peifeng Li, Haizhou Li

Although model parameters are 20x larger than the SOTA baseline, the required amount of data for instruction tuning is 1200x smaller, illustrating the potential of open-source LLMs on native CGEC.

Grammatical Error Correction

Is ChatGPT Involved in Texts? Measure the Polish Ratio to Detect ChatGPT-Generated Text

2 code implementations21 Jul 2023 Lingyi Yang, Feng Jiang, Haizhou Li

Despite this, most previous studies have been predominantly geared towards creating detectors that differentiate between purely ChatGPT-generated texts and human-authored texts.

Misinformation Text Generation

Advancing Topic Segmentation and Outline Generation in Chinese Texts: The Paragraph-level Topic Representation, Corpus, and Benchmark

1 code implementation24 May 2023 Feng Jiang, Weihao Liu, Xiaomin Chu, Peifeng Li, Qiaoming Zhu, Haizhou Li

Topic segmentation and outline generation strive to divide a document into coherent topic sections and generate corresponding subheadings, unveiling the discourse topic structure of a document.

Discourse Parsing Information Retrieval +2

HuatuoGPT, towards Taming Language Model to Be a Doctor

1 code implementation24 May 2023 Hongbo Zhang, Junying Chen, Feng Jiang, Fei Yu, Zhihong Chen, Jianquan Li, Guiming Chen, Xiangbo Wu, Zhiyi Zhang, Qingying Xiao, Xiang Wan, Benyou Wang, Haizhou Li

Experimental results demonstrate that HuatuoGPT achieves state-of-the-art results in performing medical consultation among open-source LLMs in GPT-4 evaluation, human evaluation, and medical benchmark datasets.

Language Modelling Large Language Model

Topic-driven Distant Supervision Framework for Macro-level Discourse Parsing

no code implementations23 May 2023 Feng Jiang, Longwang He, Peifeng Li, Qiaoming Zhu, Haizhou Li

Discourse parsing, the task of analyzing the internal rhetorical structure of texts, is a challenging problem in natural language processing.

Discourse Parsing Transfer Learning

Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical Study

1 code implementation15 May 2023 Yaxin Fan, Feng Jiang, Peifeng Li, Haizhou Li

In this paper, we aim to systematically inspect ChatGPT's performance in two discourse analysis tasks: topic segmentation and discourse parsing, focusing on its deep semantic understanding of linear and hierarchical discourse structures underlying dialogue.

Discourse Parsing In-Context Learning +2

Topic Shift Detection in Chinese Dialogues: Corpus and Benchmark

no code implementations2 May 2023 Jiangyi Lin, Yaxin Fan, Feng Jiang, Xiaomin Chu, Peifeng Li

And then we focus on the response-unknown task and propose a teacher-student framework based on hierarchical contrastive learning to predict the topic shift without the response.

Contrastive Learning

Multi-to-Single Knowledge Distillation for Point Cloud Semantic Segmentation

1 code implementation28 Apr 2023 Shoumeng Qiu, Feng Jiang, Haiqiang Zhang, xiangyang xue, Jian Pu

In this paper, we propose a novel multi-to-single knowledge distillation framework for the 3D point cloud semantic segmentation task to boost the performance of those hard classes.

Knowledge Distillation Semantic Segmentation

Hierarchical Interactive Reconstruction Network For Video Compressive Sensing

no code implementations15 Apr 2023 Tong Zhang, Wenxue Cui, Chen Hui, Feng Jiang

Deep network-based image and video Compressive Sensing(CS) has attracted increasing attentions in recent years.

Compressive Sensing Video Compressive Sensing

Estimating Continuous Muscle Fatigue For Multi-Muscle Coordinated Exercise: A Pilot Study

no code implementations30 Mar 2023 Chunzhi Yi, Baichun Wei, Wei Jin, Jianfei Zhu, Seungmin Rho, ZhiYuan Chen, Feng Jiang

Assessing the progression of muscle fatigue for daily exercises provides vital indicators for precise rehabilitation, personalized training dose, especially under the context of Metaverse.

Read Pointer Meters in complex environments based on a Human-like Alignment and Recognition Algorithm

2 code implementations28 Feb 2023 Yan Shu, Shaohui Liu, Honglei Xu, Feng Jiang

Recently, developing an automatic reading system for analog measuring instruments has gained increased attention, as it enables the collection of numerous state of equipment.

Image Compressed Sensing Using Non-local Neural Network

1 code implementation7 Dec 2021 Wenxue Cui, Shaohui Liu, Feng Jiang, Debin Zhao

In this paper, a novel image CS framework using non-local neural network (NL-CSNet) is proposed, which utilizes the non-local self-similarity priors with deep network to improve the reconstruction quality.

Image Compressed Sensing

Residual Relaxation for Multi-view Representation Learning

no code implementations NeurIPS 2021 Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin

Multi-view methods learn representations by aligning multiple views of the same image and their performance largely depends on the choice of data augmentation.

Data Augmentation Representation Learning

Detecting and Correcting IMU Movements During Joint Angle Estimation

no code implementations9 Jun 2021 Chunzhi Yi, Feng Jiang, Baichun Wei, Chifu Yang, Zhen Ding, Jubo Jin, Jie Liu

The results demonstrate our method is a promising solution to detecting and correcting IMU movements during JAE.

Continuous Prediction of Lower-Limb Kinematics From Multi-Modal Biomedical Signals

no code implementations22 Mar 2021 Chunzhi Yi, Feng Jiang, Shengping Zhang, Hao Guo, Chifu Yang, Zhen Ding, Baichun Wei, Xiangyuan Lan, Huiyu Zhou

Challenges of exoskeletons motor intent decoding schemes remain in making a continuous prediction to compensate for the hysteretic response caused by mechanical transmission.

Multi-Stage Residual Hiding for Image-into-Audio Steganography

no code implementations6 Jan 2021 Wenxue Cui, Shaohui Liu, Feng Jiang, Yongliang Liu, Debin Zhao

The widespread application of audio communication technologies has speeded up audio data flowing across the Internet, which made it a popular carrier for covert communication.

Entropy Guided Adversarial Model for Weakly Supervised Object Localization

no code implementations4 Aug 2020 Sabrina Narimene Benassou, Wuzhen Shi, Feng Jiang

Unfortunately, the network activates only the features that discriminate the object and does not activate the whole object.

Object Weakly-Supervised Object Localization

Deep-VFX: Deep Action Recognition Driven VFX for Short Video

no code implementations22 Jul 2020 Ao Luo, Ning Xie, Zhijia Tao, Feng Jiang

In the application, short-form mobile video is so popular all over the world such as Tik Tok.

Action Recognition Template Matching

Improving Entity Linking by Modeling Latent Entity Type Information

no code implementations6 Jan 2020 Shuang Chen, Jinpeng Wang, Feng Jiang, Chin-Yew Lin

Existing state of the art neural entity linking models employ attention-based bag-of-words context model and pre-trained entity embeddings bootstrapped from word embeddings to assess topic level context compatibility.

Ranked #2 on Entity Disambiguation on AIDA-CoNLL (Micro-F1 metric)

Entity Disambiguation Entity Embeddings +3

On Compression of Unsupervised Neural Nets by Pruning Weak Connections

no code implementations21 Jan 2019 Zhiwen Zuo, Lei Zhao, Liwen Zuo, Feng Jiang, Wei Xing, Dongming Lu

Unsupervised neural nets such as Restricted Boltzmann Machines(RBMs) and Deep Belif Networks(DBNs), are powerful in automatic feature extraction, unsupervised weight initialization and density estimation.

Density Estimation

Convolutional Neural Networks based Intra Prediction for HEVC

no code implementations17 Aug 2018 Wenxue Cui, Tao Zhang, Shengping Zhang, Feng Jiang, WangMeng Zuo, Debin Zhao

To overcome this problem, in this paper, an intra prediction convolutional neural network (IPCNN) is proposed for intra prediction, which exploits the rich context of the current block and therefore is capable of improving the accuracy of predicting the current block.

MCDTB: A Macro-level Chinese Discourse TreeBank

no code implementations COLING 2018 Feng Jiang, Sheng Xu, Xiaomin Chu, Peifeng Li, Qiaoming Zhu, Guodong Zhou

In view of the differences between the annotations of micro and macro discourse rela-tionships, this paper describes the relevant experiments on the construction of the Macro Chinese Discourse Treebank (MCDTB), a higher-level Chinese discourse corpus.

Reading Comprehension

Deep neural network based sparse measurement matrix for image compressed sensing

1 code implementation19 Jun 2018 Wenxue Cui, Feng Jiang, Xinwei Gao, Wen Tao, Debin Zhao

In this paper, a Deep neural network based Sparse Measurement Matrix (DSMM) is learned by the proposed convolutional network to reduce the sampling computational complexity and improve the CS reconstruction performance.

Image Compressed Sensing

An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios

1 code implementation13 Apr 2018 Wenxue Cui, Heyao Xu, Xinwei Gao, Shengping Zhang, Feng Jiang, Debin Zhao

To address this problem, we propose a deep convolutional Laplacian Pyramid Compressed Sensing Network (LapCSNet) for CS, which consists of a sampling sub-network and a reconstruction sub-network.

Blocking Compressive Sensing +1

An End-to-End Compression Framework Based on Convolutional Neural Networks

5 code implementations2 Aug 2017 Feng Jiang, Wen Tao, Shaohui Liu, Jie Ren, Xun Guo, Debin Zhao

The second CNN, named reconstruction convolutional neural network (RecCNN), is used to reconstruct the decoded image with high-quality in the decoding end.

Denoising Image Compression

Deep Networks for Compressed Image Sensing

no code implementations22 Jul 2017 Wuzhen Shi, Feng Jiang, Shengping Zhang, Debin Zhao

First of all, we train a sampling matrix via the network training instead of using a traditional manually designed one, which is much appropriate for our deep network based reconstruct process.

Image Compression

Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module

2 code implementations22 Jul 2017 Wuzhen Shi, Feng Jiang, Debin Zhao

With the novel dilated convolution based inception module, the proposed end-to-end single image super-resolution network can take advantage of multi-scale information to improve image super-resolution performance.

Image Restoration Image Super-Resolution

Efficient Divide-And-Conquer Classification Based on Feature-Space Decomposition

no code implementations29 Jan 2015 Qi Guo, Bo-Wei Chen, Feng Jiang, Xiangyang Ji, Sun-Yuan Kung

Firstly, we divide the feature space into several subspaces using the decomposition method proposed in this paper.

Classification General Classification

Structural Group Sparse Representation for Image Compressive Sensing Recovery

no code implementations29 Apr 2014 Jian Zhang, Debin Zhao, Feng Jiang, Wen Gao

Compressive Sensing (CS) theory shows that a signal can be decoded from many fewer measurements than suggested by the Nyquist sampling theory, when the signal is sparse in some domain.

Compressive Sensing

Spatially Directional Predictive Coding for Block-based Compressive Sensing of Natural Images

no code implementations29 Apr 2014 Jian Zhang, Debin Zhao, Feng Jiang

At the encoder, for each block of compressive sensing (CS) measurements, the optimal pre-diction is selected from a set of prediction candidates that are generated by four designed directional predictive modes.

Compressive Sensing Decoder

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