Search Results for author: Jiawei Li

Found 33 papers, 7 papers with code

TSST: A Benchmark and Evaluation Models for Text Speech-Style Transfer

no code implementations14 Nov 2023 Huashan Sun, Yixiao Wu, Yinghao Li, Jiawei Li, Yizhe Yang, Yang Gao

In summary, we present the TSST task, a new benchmark for style transfer and emphasizing human-oriented evaluation, exploring and advancing the performance of current LLMs.

Style Transfer Text Style Transfer

MindLLM: Pre-training Lightweight Large Language Model from Scratch, Evaluations and Domain Applications

no code implementations24 Oct 2023 Yizhe Yang, Huashan Sun, Jiawei Li, Runheng Liu, Yinghao Li, Yuhang Liu, Heyan Huang, Yang Gao

Large Language Models (LLMs) have demonstrated remarkable performance across various natural language tasks, marking significant strides towards general artificial intelligence.

Language Modelling Large Language Model

Automated Repair of Declarative Software Specifications in the Era of Large Language Models

no code implementations19 Oct 2023 Md Rashedul Hasan, Jiawei Li, Iftekhar Ahmed, Hamid Bagheri

In this study, we assess the effectiveness of utilizing OpenAI's ChatGPT to repair software specifications written in the Alloy declarative language.

Adversarial Attacks on Combinatorial Multi-Armed Bandits

no code implementations8 Oct 2023 Rishab Balasubramanian, Jiawei Li, Prasad Tadepalli, Huazheng Wang, Qingyun Wu, Haoyu Zhao

Contrary to prior understanding of multi-armed bandits, our work reveals a surprising fact that the attackability of a specific CMAB instance also depends on whether the bandit instance is known or unknown to the adversary.

Multi-Armed Bandits

ALIP: Adaptive Language-Image Pre-training with Synthetic Caption

1 code implementation ICCV 2023 Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu

However, the presence of intrinsic noise and unmatched image-text pairs in web data can potentially affect the performance of representation learning.

Representation Learning Retrieval +1

Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey

no code implementations9 Aug 2023 Liping Wang, Jiawei Li, Lifan Zhao, Zhizhuo Kou, Xiaohan Wang, Xinyi Zhu, Hao Wang, Yanyan Shen, Lei Chen

Predicting stock prices presents a challenging research problem due to the inherent volatility and non-linear nature of the stock market.

Stock Price Prediction

DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning

1 code implementation ICCV 2023 Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li

This paper proposes DiffFit, a parameter-efficient strategy to fine-tune large pre-trained diffusion models that enable fast adaptation to new domains.

Fair-CDA: Continuous and Directional Augmentation for Group Fairness

no code implementations1 Apr 2023 Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li

By adjusting the perturbation strength in the direction of the paths, our proposed augmentation is controllable and auditable.

Data Augmentation Disentanglement +1

Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers

no code implementations29 Mar 2023 Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shu-Tao Xia, Zhi Wang

In this work, the VQVAE focus on feature extraction and reconstruction of images, and the transformers fit the manifold and locate anomalies in the latent space.

Unsupervised Anomaly Detection

Bridging the Emotional Semantic Gap via Multimodal Relevance Estimation

no code implementations3 Feb 2023 Chuan Zhang, Daoxin Zhang, Ruixiu Zhang, Jiawei Li, Jianke Zhu

To tackle this problem, we propose a multimodal relevance estimation network to capture the relevant semantics among modalities in multimodal emotions.

Contrastive Learning

Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model

no code implementations ICCV 2023 Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia

Unsupervised surface anomaly detection aims at discovering and localizing anomalous patterns using only anomaly-free training samples.

Unsupervised Anomaly Detection

Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain

no code implementations6 Sep 2022 Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, YaoWei Wang, Tao Dai, Shu-Tao Xia

Specifically, MSFDPM consists of a side information feature extractor, a multi-scale feature domain patch matching module, and a multi-scale feature fusion network.

Image Compression Patch Matching

SIAD: Self-supervised Image Anomaly Detection System

no code implementations8 Aug 2022 Jiawei Li, Chenxi Lan, Xinyi Zhang, Bolin Jiang, Yuqiu Xie, Naiqi Li, Yan Liu, Yaowei Li, Enze Huo, Bin Chen

To make a step forward, this paper outlines an automatic annotation system called SsaA, working in a self-supervised learning manner, for continuously making the online visual inspection in the manufacturing automation scenarios.

Anomaly Detection Cloud Computing +1

$G^2$: Enhance Knowledge Grounded Dialogue via Ground Graph

no code implementations27 Apr 2022 Yizhe Yang, Yang Gao, Jiawei Li, Heyan Huang

Besides, a Ground Graph Aware Transformer ($G^2AT$) is proposed to enhance knowledge grounded response generation.

Response Generation

Ask to Understand: Question Generation for Multi-hop Question Answering

no code implementations17 Mar 2022 Jiawei Li, Mucheng Ren, Yang Gao, Yizhe Yang

Specifically, we carefully design an end-to-end QG module on the basis of a classical QA module, which could help the model understand the context by asking inherently logical sub-questions, thus inheriting interpretability from the QD-based method and showing superior performance.

Multi-hop Question Answering Question Answering +2

Code Smells in Machine Learning Systems

no code implementations2 Mar 2022 Jiri Gesi, SiQi Liu, Jiawei Li, Iftekhar Ahmed, Nachiappan Nagappan, David Lo, Eduardo Santana de Almeida, Pavneet Singh Kochhar, Lingfeng Bao

We found that our newly identified code smells are prevalent and impactful on the maintenance of DL systems from the developer's perspective.

BIG-bench Machine Learning

Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern

no code implementations24 Nov 2021 Ruxin Ding, Jianfeng Ren, Heng Yu, Jiawei Li

To tackle this problem, we propose a method for dynamic texture recognition using PDV hashing and dictionary learning on multi-scale volume local binary pattern (PHD-MVLBP).

Dictionary Learning Dynamic Texture Recognition

MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps

no code implementations NeurIPS 2021 Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li

First, we theoretically show the transferability of robustness from an adversarially trained teacher model to a student model with the help of mixup augmentation.

Transfer Learning

Salient Object Ranking with Position-Preserved Attention

1 code implementation ICCV 2021 Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He

In this paper, we study the Salient Object Ranking (SOR) task, which manages to assign a ranking order of each detected object according to its visual saliency.

Image Cropping Instance Segmentation +5

Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework

no code implementations14 Apr 2021 Yuan Gao, Jiawei Li, Maoguo Gong, Yu Xie, A. K. Qin

Since the existing naive model parameter averaging method is contradictory to the learning paradigm of neural networks, we simulate the process of human cognition and communication, and analogy multi-party learning as a many-to-one knowledge sharing problem.

Analytics and Machine Learning in Vehicle Routing Research

no code implementations19 Feb 2021 Ruibin Bai, Xinan Chen, Zhi-Long Chen, Tianxiang Cui, Shuhui Gong, Wentao He, Xiaoping Jiang, Huan Jin, Jiahuan Jin, Graham Kendall, Jiawei Li, Zheng Lu, Jianfeng Ren, Paul Weng, Ning Xue, Huayan Zhang

The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial optimisation problems for which numerous models and algorithms have been proposed.

BIG-bench Machine Learning

Horizontal-to-Vertical Video Conversion

1 code implementation11 Jan 2021 Tun Zhu, Daoxin Zhang, Yao Hu, Tianran Wang, XiaoLong Jiang, Jianke Zhu, Jiawei Li

Alongside the prevalence of mobile videos, the general public leans towards consuming vertical videos on hand-held devices.

Boundary Detection Multi-Object Tracking

Amodal Segmentation Based on Visible Region Segmentation and Shape Prior

1 code implementation10 Dec 2020 Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, Shenghua Gao

In this way, features corresponding to background and occlusion can be suppressed for amodal mask estimation.


JSRT: James-Stein Regression Tree

no code implementations18 Oct 2020 Xingchun Xiang, Qingtao Tang, Huaixuan Zhang, Tao Dai, Jiawei Li, Shu-Tao Xia

To address this issue, we propose a novel regression tree, named James-Stein Regression Tree (JSRT) by considering global information from different nodes.


Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning

no code implementations21 Aug 2020 Yiming Li, Jiawang Bai, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia

Interpretability and effectiveness are two essential and indispensable requirements for adopting machine learning methods in reality.

BIG-bench Machine Learning Knowledge Distillation

HRINet: Alternative Supervision Network for High-resolution CT image Interpolation

no code implementations11 Feb 2020 Jiawei Li, Jae Chul Koh, Won-Sook Lee

We combine the idea of ACAI and GANs, and propose a novel idea of alternative supervision method by applying supervised and unsupervised training alternatively to raise the accuracy of human organ structures in CT while keeping high quality.

3D Reconstruction Vocal Bursts Intensity Prediction

Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness

no code implementations14 Mar 2019 Jiawang Bai, Yiming Li, Jiawei Li, Yong Jiang, Shu-Tao Xia

How to obtain a model with good interpretability and performance has always been an important research topic.

Knowledge Distillation

Multinomial Random Forest: Toward Consistency and Privacy-Preservation

no code implementations10 Mar 2019 Yiming Li, Jiawang Bai, Jiawei Li, Xue Yang, Yong Jiang, Chun Li, Shu-Tao Xia

Despite the impressive performance of random forests (RF), its theoretical properties have not been thoroughly understood.

General Classification

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