Search Results for author: Zijian Zhang

Found 35 papers, 13 papers with code

Zero-knowledge Proof Meets Machine Learning in Verifiability: A Survey

no code implementations23 Oct 2023 Zhibo Xing, Zijian Zhang, Jiamou Liu, Ziang Zhang, Meng Li, Liehuang Zhu, Giovanni Russello

However, in practice, due to various challenges such as limited computational resources and data privacy concerns, users in need of models often cannot train machine learning models locally.

Federated Learning

CSG: Curriculum Representation Learning for Signed Graph

no code implementations17 Oct 2023 Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Yifei Wang, Pengqian Han, Xianda Zheng, Qiqi Wang, Zijian Zhang

Signed graphs are valuable for modeling complex relationships with positive and negative connections, and Signed Graph Neural Networks (SGNNs) have become crucial tools for their analysis.

Link Sign Prediction Representation Learning

Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models

no code implementations15 Oct 2023 Zijian Zhang, Luping Liu, Zhijie Lin, Yichen Zhu, Zhou Zhao

We propose the first unsupervised and learning-based method to identify interpretable directions in h-space of pre-trained diffusion models.

MLPST: MLP is All You Need for Spatio-Temporal Prediction

no code implementations23 Sep 2023 Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao

To accomplish the above goals, we propose an intuitive and novel framework, MLPST, a pure multi-layer perceptron architecture for traffic prediction.

Traffic Prediction

Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting

1 code implementation20 Sep 2023 Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang

Then, we generate representative and common spatio-temporal patterns as global nodes to reflect a global dependency between sensors and provide auxiliary information for spatio-temporal dependency learning.

PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction

no code implementations18 Sep 2023 Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu

We devise a spatio-temporal transformer and a parameter-sharing training scheme to address the common knowledge among different spatio-temporal attributes.

XFlow: Benchmarking Flow Behaviors over Graphs

1 code implementation7 Aug 2023 Zijian Zhang, Zonghan Zhang, Zhiqian Chen

One of the primary obstacles to current research in this field is the absence of a comprehensive curated benchmark suite to study the flow behaviors under network scenarios.


Detector Guidance for Multi-Object Text-to-Image Generation

1 code implementation4 Jun 2023 Luping Liu, Zijian Zhang, Yi Ren, Rongjie Huang, Xiang Yin, Zhou Zhao

Previous works identify the problem of information mixing in the CLIP text encoder and introduce the T5 text encoder or incorporate strong prior knowledge to assist with the alignment.

object-detection Object Detection

IFedRec: Item-Guided Federated Aggregation for Cold-Start

no code implementations22 May 2023 Chunxu Zhang, Guodong Long, Tianyi Zhou, Xiangyu Zhao, Zijian Zhang, Bo Yang

To recommend cold items, existing federated recommendation models require collecting new interactions from users and retraining the model, which is time-consuming and poses a privacy threat to users' sensitive information.

AutoSTL: Automated Spatio-Temporal Multi-Task Learning

no code implementations16 Apr 2023 Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang

To cope with the problems above, we propose an Automated Spatio-Temporal multi-task Learning (AutoSTL) method to handle multiple spatio-temporal tasks jointly.

Multi-Task Learning

AutoMLP: Automated MLP for Sequential Recommendations

no code implementations11 Mar 2023 Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo

Sequential recommender systems aim to predict users' next interested item given their historical interactions.

Recommendation Systems

MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring based on A Dual-CNN Model

no code implementations11 Feb 2023 Jialing He, Jiamou Liu, Zijian Zhang, Yang Chen, Yiwei Liu, Bakh Khoussainov, Liehuang Zhu

Non-intrusive load monitoring (NILM) aims to decompose aggregated electrical usage signal into appliance-specific power consumption and it amounts to a classical example of blind source separation tasks.

Non-Intrusive Load Monitoring

ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories

no code implementations5 Feb 2023 Zijian Zhang, Zhou Zhao, Jun Yu, Qi Tian

In this paper, we propose a novel and flexible conditional diffusion model by introducing conditions into the forward process.

Denoising Image Generation

Dual Personalization on Federated Recommendation

1 code implementation16 Jan 2023 Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang

Moreover, we provide visualizations and in-depth analysis of the personalization techniques in item embedding, which shed novel insights on the design of recommender systems in federated settings.

Privacy Preserving Recommendation Systems

Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models

1 code implementation26 Dec 2022 Zijian Zhang, Zhou Zhao, Zhijie Lin

These imply that the gap corresponds to the lost information of the image, and we can reconstruct the image by filling the gap.

Image Reconstruction Representation Learning

Explainable Information Retrieval: A Survey

no code implementations4 Nov 2022 Avishek Anand, Lijun Lyu, Maximilian Idahl, Yumeng Wang, Jonas Wallat, Zijian Zhang

Explainable information retrieval is an emerging research area aiming to make transparent and trustworthy information retrieval systems.

Information Retrieval Retrieval

Towards Explainability in NLP: Analyzing and Calculating Word Saliency through Word Properties

no code implementations17 Jul 2022 Jialiang Dong, zhitao Guan, Longfei Wu, Zijian Zhang, Xiaojiang Du

These properties may have certain relationships with the word saliency, which is of great help for studying the explainability of the model predictions.

SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals

no code implementations3 May 2022 Zijian Zhang, Vinay Setty, Avishek Anand

We introduce SparcAssist, a general-purpose risk assessment tool for the machine learning models trained for language tasks.

counterfactual Language Modelling

ST-DDPM: Explore Class Clustering for Conditional Diffusion Probabilistic Models

no code implementations29 Sep 2021 Zhijie Lin, Zijian Zhang, Zhou Zhao

Score-based generative models involve sequentially corrupting the data distribution with noise and then learns to recover the data distribution based on score matching.

Clustering Conditional Image Generation

FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop

no code implementations12 Sep 2021 Zijian Zhang, Koustav Rudra, Avishek Anand

It is therefore important to conduct user studies to correct models' inference biases and improve the model in a life-long learning manner in the future according to the user feedback.

Explainable Models Fact Checking

Position-based Contributive Embeddings for Aspect-Based Sentiment Analysis

no code implementations11 Aug 2021 Zijian Zhang, Chenxin Zhang, Jiangfeng Li, Qinpei Zhao

Therefore, we propose a Position-based Contributive Embeddings (PosCE) to highlight the historical reference to special position aspect.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)

ICAF: Iterative Contrastive Alignment Framework for Multimodal Abstractive Summarization

no code implementations11 Aug 2021 Zijian Zhang, Chang Shu, Youxin Chen, Jing Xiao, Qian Zhang, Lu Zheng

Integrating multimodal knowledge for abstractive summarization task is a work-in-progress research area, with present techniques inheriting fusion-then-generation paradigm.

Abstractive Text Summarization Sentence Summarization

Learnt Sparsification for Interpretable Graph Neural Networks

no code implementations23 Jun 2021 Mandeep Rathee, Zijian Zhang, Thorben Funke, Megha Khosla, Avishek Anand

However, GNNs remain hard to interpret as the interplay between node features and graph structure is only implicitly learned.

Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles

1 code implementation5 Mar 2021 Zijian Zhang, Shuai Wang, Yuncong Hong, Liangkai Zhou, Qi Hao

The technology of dynamic map fusion among networked vehicles has been developed to enlarge sensing ranges and improve sensing accuracies for individual vehicles.

Federated Learning Knowledge Distillation +1

The sum of the Betti numbers of smooth Hilbert schemes

no code implementations2 Dec 2020 Joseph Donato, Monica Lewis, Tim Ryan, Faustas Udrenas, Zijian Zhang

In this paper, we compute the sum of the Betti numbers for 6 of the 7 families of smooth Hilbert schemes over projective space.

Algebraic Geometry 14C05 (Primary), 14F25 (Secondary)

A joint precoding framework for wideband reconfigurable intelligent surface-aided cell-free network

no code implementations10 Feb 2020 Zijian Zhang, Linglong Dai

Then, in a wideband RIS-aided cell-free network, we formulate the problem of joint precoding design at BSs and RISs to maximize the network capacity.

Convolutional Hierarchical Attention Network for Query-Focused Video Summarization

1 code implementation31 Jan 2020 Shuwen Xiao, Zhou Zhao, Zijian Zhang, Xiaohui Yan, Min Yang

This paper addresses the task of query-focused video summarization, which takes user's query and a long video as inputs and aims to generate a query-focused video summary.

Video Summarization

REM: From Structural Entropy to Community Structure Deception

1 code implementation NeurIPS 2019 Yiwei Liu, Jiamou Liu, Zijian Zhang, Liehuang Zhu, Angsheng Li

This paper focuses on the privacy risks of disclosing the community structure in an online social network.

Community Detection

XDeep: An Interpretation Tool for Deep Neural Networks

1 code implementation4 Nov 2019 Fan Yang, Zijian Zhang, Haofan Wang, Yuening Li, Xia Hu

XDeep is an open-source Python package developed to interpret deep models for both practitioners and researchers.

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

9 code implementations3 Oct 2019 Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu

Recently, increasing attention has been drawn to the internal mechanisms of convolutional neural networks, and the reason why the network makes specific decisions.

Adversarial Attack Decision Making +1

Contextual Local Explanation for Black Box Classifiers

no code implementations2 Oct 2019 Zijian Zhang, Fan Yang, Haofan Wang, Xia Hu

We introduce a new model-agnostic explanation technique which explains the prediction of any classifier called CLE.

General Classification Image Classification

Asynchronous Training of Word Embeddings for Large Text Corpora

1 code implementation7 Dec 2018 Avishek Anand, Megha Khosla, Jaspreet Singh, Jan-Hendrik Zab, Zijian Zhang

In this paper, we propose a scalable approach to train word embeddings by partitioning the input space instead in order to scale to massive text corpora while not sacrificing the performance of the embeddings.

Information Retrieval Retrieval +1

Pathological Evidence Exploration in Deep Retinal Image Diagnosis

1 code implementation6 Dec 2018 Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng

Inspired by Koch's Postulates, a well-known strategy in medical research to identify the property of pathogen, we define a pathological descriptor that can be extracted from the activated neurons of a diabetic retinopathy detector.

Medical Diagnosis

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