Ziwei Zhang

According to our database, Ziwei Zhang authored at least 87 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

H_∞/Passive Synchronization of Semi-Markov Jump Neural Networks Subject to Hybrid Attacks via an Activation Function Division Approach.

Ziwei Zhang, Hao Shen, Lei Su

J. Syst. Sci. Complex., June, 2024

Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments.

Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu

ACM Trans. Inf. Syst., January, 2024

Non-Fragile H∞ Control for Piecewise Homogeneous Hidden Semi-Markov Lur'e Systems.

Hao Shen, Ziwei Zhang, Feng Li, Huaicheng Yan

IEEE Trans. Circuits Syst. II Express Briefs, January, 2024

Research on the legibility of Chinese display character sizes in virtual environments.

Xiaozhou Zhou, Yixue Wang, Ziwei Zhang, Xu-Yi Qiu, Yuqing Zhou

Displays, January, 2024

Exploring the Potential of Large Language Models in Graph Generation.

Yang Yao, Xin Wang, Zeyang Zhang, Yijian Qin, Ziwei Zhang, Xu Chu, Yuekui Yang, Wenwu Zhu, Hong Mei

CoRR, 2024

Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts.

Yang Yao, Xin Wang, Yijian Qin, Ziwei Zhang, Wenwu Zhu, Hong Mei

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Multimodal Graph Neural Architecture Search under Distribution Shifts.

Jie Cai, Xin Wang, Haoyang Li, Ziwei Zhang, Wenwu Zhu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

JDMR-Net: Joint Detection and Modulation Recognition Networks for LPI Radar Signals.

Ziwei Zhang, Mengtao Zhu, Yunjie Li, Shafei Wang

IEEE Trans. Aerosp. Electron. Syst., December, 2023

Long-term multivariate time series forecasting in data centers based on multi-factor separation evolutionary spatial-temporal graph neural networks.

Fang Shen, Jialong Wang, Ziwei Zhang, Xin Wang, Yue Li, Zhaowei Geng, Bing Pan, Zengyi Lu, Wendy Zhao, Wenwu Zhu

Knowl. Based Syst., November, 2023

Pre-denoising 3D Multi-scale Fusion Attention Network for Low-Light Enhancement.

Hegui Zhu, Ziwei Zhang, Luyang Wang, Tian Geng, Xiangde Zhang

Neural Process. Lett., October, 2023

Revealing intra-urban hierarchical spatial structure through representation learning by combining road network abstraction model and taxi trajectory data.

Sheng Hu, Song Gao, Wei Luo, Liang Wu, Tianqi Li, Yongyang Xu, Ziwei Zhang

Ann. GIS, October, 2023

Disentangled Graph Contrastive Learning With Independence Promotion.

Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., August, 2023

Joint recognition and parameter estimation of cognitive radar work modes with LSTM-transformer.

Ziwei Zhang, Mengtao Zhu, Yunjie Li, Yan Li, Shafei Wang

Digit. Signal Process., August, 2023

Group-based social diffusion in recommendation.

Xumin Chen, Ruobing Xie, Zhijie Qiu, Peng Cui, Ziwei Zhang, Shukai Liu, Shiqiang Yang, Bo Zhang, Leyu Lin

World Wide Web (WWW), July, 2023

OOD-GNN: Out-of-Distribution Generalized Graph Neural Network.

Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., July, 2023

Fire Detection in Ship Engine Rooms Based on Deep Learning.

Jinting Zhu, Jundong Zhang, Yongkang Wang, Yuequn Ge, Ziwei Zhang, Shihan Zhang

Sensors, July, 2023

Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing.

Ziwei Zhang, Chenhao Niu, Peng Cui, Jian Pei, Bo Zhang, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., June, 2023

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs.

Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., March, 2023

Change Point Detection for Fine-Grained MFR Work Modes with Multi-Head Attention-Based Bi-LSTM Network.

Yiying Fang, Qihang Zhai, Ziwei Zhang, Jing Yang

Sensors, March, 2023

Event-triggered gain-scheduling dissipative synchronization control for switched neural networks under state-dependent switching.

Tianyu Wu, Ziwei Zhang, Jing Wang, Xingliu Hu, Hao Shen

J. Frankl. Inst., March, 2023

Non-flocking and flocking for the Cucker-Smale model with distributed time delays.

Ziwei Zhang, Xiuxia Yin, Zhiwei Gao

J. Frankl. Inst., 2023

Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion.

Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Wenwu Zhu

CoRR, 2023

Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs.

Yijian Qin, Xin Wang, Ziwei Zhang, Wenwu Zhu

CoRR, 2023

LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs?

Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Simin Wu, Wenwu Zhu

CoRR, 2023

Large Graph Models: A Perspective.

Ziwei Zhang, Haoyang Li, Zeyang Zhang, Yijian Qin, Xin Wang, Wenwu Zhu

CoRR, 2023

Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision.

Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts.

Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization.

Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum.

Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SCL-Stega: Exploring Advanced Objective in Linguistic Steganalysis using Contrastive Learning.

Juan Wen, Liting Gao, Guangying Fan, Ziwei Zhang, Jianghao Jia, Yiming Xue

Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security, 2023

Review on Small Disturbance Stability Research of DC Microgrids.

Ziwei Zhang, Zhilei Yao

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

AutoGT: Automated Graph Transformer Architecture Search.

Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract).

Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Data Background-Based Test Development for All Interconnect and Contact Defects in RRAMs.

Hanzhi Xun, Moritz Fieback, Sicong Yuan, Ziwei Zhang, Mottaqiallah Taouil, Said Hamdioui

Proceedings of the IEEE European Test Symposium, 2023

Adversarially Robust Neural Architecture Search for Graph Neural Networks.

Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Dynamic Heterogeneous Graph Attention Neural Architecture Search.

Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin, Wenwu Zhu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep Learning on Graphs: A Survey.

Ziwei Zhang, Peng Cui, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., 2022

Intention-Aware Sequential Recommendation With Structured Intent Transition.

Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., 2022

Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network.

Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin

IEEE Trans. Big Data, 2022

On the Correlation Among Edge, Pose and Parsing.

Ziwei Zhang, Chi Su, Liang Zheng, Xiaodong Xie, Yuan Li

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Low-light image enhancement network with decomposition and adaptive information fusion.

Hegui Zhu, Kai Wang, Ziwei Zhang, Yuelin Liu, Wuming Jiang

Neural Comput. Appl., 2022

Varying Zonotopic tube RMPC with switching logic for lateral path tracking of autonomous vehicle.

Hao Zheng, Ling Zheng, Yinong Li, Kan Wang, Ziwei Zhang, Minghui Ding

J. Frankl. Inst., 2022

Revealing intra-urban spatial structure through an exploratory analysis by combining road network abstraction model and taxi trajectory data.

Sheng Hu, Song Gao, Wei Luo, Liang Wu, Tianqi Li, Yongyang Xu, Ziwei Zhang

CoRR, 2022

Out-Of-Distribution Generalization on Graphs: A Survey.

Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu

CoRR, 2022

Automated Graph Machine Learning: Approaches, Libraries and Directions.

Xin Wang, Ziwei Zhang, Wenwu Zhu

CoRR, 2022

Static output feedback secure synchronization control for Markov jump neural networks under hybrid cyber-attacks.

Ziwei Zhang, Zongjie Chen, Zhang Sheng, Dan Li, Jing Wang

Appl. Math. Comput., 2022

Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift.

Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Zhou Qin, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search.

Yijian Qin, Ziwei Zhang, Xin Wang, Zeyang Zhang, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Invariant Graph Representations for Out-of-Distribution Generalization.

Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Designing Secure Cross-user Redundancy Elimination for WAN Optimization.

Yuan Zhang, Ziwei Zhang, Minze Xu, Chen Tian, Sheng Zhong

Proceedings of the IEEE INFOCOM 2022, 2022

Few-shot Text Steganalysis Based on Attentional Meta-learner.

Juan Wen, Ziwei Zhang, Yu Yang, Yiming Xue

Proceedings of the IH&MMSec '22: ACM Workshop on Information Hiding and Multimedia Security, Santa Barbara, CA, USA, June 27, 2022

Graph Neural Architecture Search Under Distribution Shifts.

Yijian Qin, Xin Wang, Ziwei Zhang, Pengtao Xie, Wenwu Zhu

Proceedings of the International Conference on Machine Learning, 2022

Large-Scale Graph Neural Architecture Search.

Chaoyu Guan, Xin Wang, Hong Chen, Ziwei Zhang, Wenwu Zhu

Proceedings of the International Conference on Machine Learning, 2022

Parametric Visual Program Induction with Function Modularization.

Xuguang Duan, Xin Wang, Ziwei Zhang, Wenwu Zhu

Proceedings of the International Conference on Machine Learning, 2022

Directed Mix Contrast for Lidar Point Cloud Segmentation.

Yuheng Lu, Fangping Chen, Ziwei Zhang, Fan Yang, Xiaodong Xie

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Inter-and-Intra Domain Attention Relational Inference for Rack Temperature Prediction in Data Center.

Fang Shen, Zhan Li, Bing Pan, Ziwei Zhang, Jialong Wang, Wendy Zhao, Xin Wang, Wenwu Zhu

Proceedings of the Database Systems for Advanced Applications, 2022

Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum.

Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach.

Sheng Hu, Song Gao, Liang Wu, Yongyang Xu, Ziwei Zhang, Haifu Cui, Xi Gong

Comput. Environ. Urban Syst., 2021

Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?

Ziwei Zhang, Xin Wang, Zeyang Zhang, Peng Cui, Wenwu Zhu

CoRR, 2021

AutoGL: A Library for Automated Graph Learning.

Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu

CoRR, 2021

Research on the Classification of Benign and Malignant Parotid Tumors Based on Transfer Learning and a Convolutional Neural Network.

Hongbin Zhang, Huicheng Lai, Yan Wang, Xiaoyi Lv, Yue Hong, Jianming Peng, Ziwei Zhang, Chen Chen, Cheng Chen

IEEE Access, 2021

Disentangled Contrastive Learning on Graphs.

Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Signed Graph Neural Network with Latent Groups.

Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Automated Machine Learning on Graphs: A Survey.

Ziwei Zhang, Xin Wang, Wenwu Zhu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Protecting Encrypted Video Stream Against Information Leak Using Adversarial Traces.

Ziwei Zhang, Dengpan Ye

Proceedings of the Image and Graphics - 11th International Conference, 2021

A Experimental Study of the Cognitive Load of In-vehicle Multiscreen Connected HUD.

Yancong Zhu, Yuchen Jing, Ming Jiang, Ziwei Zhang, Dawei Wang, Wei Liu

Proceedings of the Design, User Experience, and Usability: Design for Contemporary Technological Environments, 2021

Exploring and Reflecting on Generation Z Interaction Qualities and Selfie Scenario Designs.

Di Zhu, Ruilin Wang, Ziwei Zhang, Dawei Wang, Xiaohan Meng, Wei Liu

Proceedings of the Advances in Creativity, Innovation, Entrepreneurship and Communication of Design, 2021

2020

A Simple and General Graph Neural Network with Stochastic Message Passing.

Ziwei Zhang, Chenhao Niu, Peng Cui, Bo Zhang, Wei Cui, Wenwu Zhu

CoRR, 2020

Rogue AP Detection using Similarity of Backbone Delay Fluctuation Histogram.

Ziwei Zhang, Hirokazu Hasegawa, Yukiko Yamaguchi, Hajime Shimada

Proceedings of the 2020 International Conference on Information Networking, 2020

Short Term Wind Power Prediction Based on Wavelet Transform and BP Neural Network.

Shuang Zheng, Zhaoju Jia, Ziwei Zhang, Fugang Liu, Long Han

Proceedings of the Green Energy and Networking - 7th EAI International Conference, 2020

Modulation Recognition of Digital Signal Based on Decision Tree and Support Vector Machine.

Fugang Liu, Ziwei Zhang, Shuang Zheng, Zhaoju Jia

Proceedings of the Green Energy and Networking - 7th EAI International Conference, 2020

Correlating Edge, Pose With Parsing.

Ziwei Zhang, Chi Su, Liang Zheng, Xiaodong Xie

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Load-Based Hybrid MAC Protocol for Underwater Wireless Sensor Networks.

Ziwei Zhang, Wei Shi, Qiuna Niu, Ying Guo, Jingjing Wang, Hanjiang Luo

IEEE Access, 2019

Deep Association: End-to-end Graph-Based Learning for Multiple Object Tracking with Conv-Graph Neural Network.

Cong Ma, Yuan Li, Fan Yang, Ziwei Zhang, Yueqing Zhuang, Huizhu Jia, Xiaodong Xie

Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

Robust Graph Convolutional Networks Against Adversarial Attacks.

Dingyuan Zhu, Ziwei Zhang, Peng Cui, Wenwu Zhu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Exploratory Study into Designing Enhanced Commute Experiences in Autonomous Vehicles with Connected Sensors and Actuators.

Zheng Sun, Hugues Vigner, Shreyas Bhayana, Changhao Zheng, Ziwei Zhang, Euiyoung Kim, Alice M. Agogino

Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2019

Rogue Wireless AP Detection using Delay Fluctuation in Backbone Network.

Ziwei Zhang, Hirokazu Hasegawa, Yukiko Yamaguchi, Hajime Shimada

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018

High-Order Proximity Preserved Embedding for Dynamic Networks.

Dingyuan Zhu, Peng Cui, Ziwei Zhang, Jian Pei, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., 2018

A Note on Spectral Clustering and SVD of Graph Data.

Ziwei Zhang

CoRR, 2018

Arbitrary-Order Proximity Preserved Network Embedding.

Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Power-law Distribution Aware Trust Prediction.

Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

RelationNet: Learning Deep-Aligned Representation for Semantic Image Segmentation.

Yueqing Zhuang, Li Tao, Fan Yang, Cong Ma, Ziwei Zhang, Huizhu Jia, Xiaodong Xie

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking.

Cong Ma, Changshui Yang, Fan Yang, Yueqing Zhuang, Ziwei Zhang, Huizhu Jia, Xiaodong Xie

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Dense Relation Network: Learning Consistent and Context-Aware Representation for Semantic Image Segmentation.

Yueqing Zhuang, Fan Yang, Li Tao, Cong Ma, Ziwei Zhang, Yuan Li, Huizhu Jia, Xiaodong Xie, Wen Gao

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Billion-Scale Network Embedding with Iterative Random Projection.

Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu

Proceedings of the IEEE International Conference on Data Mining, 2018

TIMERS: Error-Bounded SVD Restart on Dynamic Networks.

Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Asymmetric Transitivity Preserving Graph Embedding.

Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016