Search Results for author: Jiawei Li

Found 49 papers, 17 papers with code

Delta-Influence: Unlearning Poisons via Influence Functions

1 code implementation20 Nov 2024 Wenjie Li, Jiawei Li, Christian Schroeder de Witt, Ameya Prabhu, Amartya Sanyal

State-of-the-art influence functions, such as EK-FAC, often fail to accurately attribute abnormal model behavior to the specific poisoned training data responsible for the data poisoning attack.

Attribute Benchmarking +1

PSPO*: An Effective Process-supervised Policy Optimization for Reasoning Alignment

1 code implementation18 Nov 2024 Jiawei Li, Xinyue Liang, Yizhe Yang, Chong Feng, Yang Gao

Process supervision enhances the performance of large language models in reasoning tasks by providing feedback at each step of chain-of-thought reasoning.

Mathematical Reasoning

METEOR: Evolutionary Journey of Large Language Models from Guidance to Self-Growth

1 code implementation18 Nov 2024 Jiawei Li, Xiaoang Xu, Yang Gao

Model evolution enables learning from feedback to refine experiences and update skills, transforming models from having no domain knowledge to becoming domain experts.

TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis

1 code implementation21 Oct 2024 Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin

Specifically, we introduce a general-purpose TSPM that processes multi-scale time series using (1) multi-resolution time imaging (MRTI), (2) time image decomposition (TID), (3) multi-scale mixing (MCM), and (4) multi-resolution mixing (MRM) to extract comprehensive temporal patterns.

Anomaly Detection Imputation +2

Pattern based learning and optimisation through pricing for bin packing problem

no code implementations27 Aug 2024 Huayan Zhang, Ruibin Bai, Tie-Yan Liu, Jiawei Li, Bingchen Lin, Jianfeng Ren

As a popular form of knowledge and experience, patterns and their identification have been critical tasks in most data mining applications.

Deep learning for predicting the occurrence of tipping points

1 code implementation26 Jul 2024 Chengzuo Zhuge, Jiawei Li, Wei Chen

The ability to predict the occurrence of tipping points from time series data remains an outstanding challenge and a major interest in a broad range of research fields.

Deep Learning Time Series

One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models

1 code implementation8 Jun 2024 Hao Fang, Jiawei Kong, Wenbo Yu, Bin Chen, Jiawei Li, Shutao Xia, Ke Xu

In this paper, we reveal that VLP models are also vulnerable to the instance-agnostic universal adversarial perturbation (UAP).

Contrastive Learning

UniCL: A Universal Contrastive Learning Framework for Large Time Series Models

no code implementations17 May 2024 Jiawei Li, Jingshu Peng, Haoyang Li, Lei Chen

Time-series analysis plays a pivotal role across a range of critical applications, from finance to healthcare, which involves various tasks, such as forecasting and classification.

Contrastive Learning Time Series +1

Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion

no code implementations16 Mar 2024 Jiawei Li, Sitong Li, Shanshan Wang, Yicheng Zeng, Falong Tan, Chuanlong Xie

When trained using KNN on CIFAR10, MLOD-Fisher significantly lowers the false positive rate (FPR) from 24. 09% to 7. 47% on average compared to merely utilizing the features of the last layer.

Out-of-Distribution Detection Out of Distribution (OOD) Detection

An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization

no code implementations8 Mar 2024 Shouri Hu, Jiawei Li, Zhibo Cai

Initially, we identify the effective dimension reduction (EDR) subspace for the objective function using the minimum average variance estimation (MAVE) method.

Bayesian Optimization Dimensionality Reduction

High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse Rendering

1 code implementation16 Jan 2024 Xin Ming, Jiawei Li, Jingwang Ling, Libo Zhang, Feng Xu

Experiments demonstrate that, with the flexible input of single or sparse multi-view videos, we reconstruct personalized high-fidelity blendshapes.

Inverse Rendering

LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes

no code implementations CVPR 2024 Yanwen Guo, Yuanqi Li, Dayong Ren, Xiaohong Zhang, Jiawei Li, Liang Pu, Changfeng Ma, Xiaoyu Zhan, Jie Guo, Mingqiang Wei, Yan Zhang, Piaopiao Yu, Shuangyu Yang, Donghao Ji, Huisheng Ye, Hao Sun, Yansong Liu, Yinuo Chen, Jiaqi Zhu, Hongyu Liu

In this paper we present LiDAR-Net a new real-scanned indoor point cloud dataset containing nearly 3. 6 billion precisely point-level annotated points covering an expansive area of 30000m^2.

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.

Enhancing Signed Graph Neural Networks through Curriculum-Based Training

1 code implementation17 Oct 2023 Zeyu Zhang, Lu Li, Xingyu Ji, Kaiqi Zhao, Xiaofeng Zhu, Philip S. Yu, Jiawei Li, Maojun Wang

The prevailing training approach feeds samples (edges) to models in a random order, resulting in equal contributions from each sample during the training process, but fails to account for varying learning difficulties based on the graph's structure.

Link Sign Prediction Representation Learning

Adversarial Attacks on Combinatorial Multi-Armed Bandits

1 code implementation8 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.

Image-text Retrieval Representation Learning +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

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.

Decoder Image Compression +1

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

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.

Diversity Multi-hop Question Answering +3

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 +7

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.

Segmentation

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.

regression

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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