Zijie Pan

According to our database, Zijie Pan authored at least 33 papers between 2021 and 2025.

Collaborative distances:

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

2025

Feature-Based Machine Unlearning for Vertical Federated Learning in IoT Networks.

Zijie Pan, Zuobin Ying, Yajie Wang, Chuan Zhang, Weiting Zhang, Wanlei Zhou, Liehuang Zhu

IEEE Trans. Mob. Comput., June, 2025

Multi-modal Time Series Analysis: A Tutorial and Survey.

Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song

CoRR, March, 2025

TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster.

Kanghui Ning, Zijie Pan, Yu Liu, Yushan Jiang, James Y. Zhang, Kashif Rasul, Anderson Schneider, Lintao Ma, Yuriy Nevmyvaka, Dongjin Song

CoRR, March, 2025

Secure Multi-Party Learning: Fundamentals, Frameworks, State of the Art, Trends, and Challenges.

Yuhang Li, Yajie Wang, Qing Fan, Zijie Pan, Yan Wu, Zijian Zhang, Liehuang Zhu, Wanlei Zhou

IEEE Trans. Netw. Sci. Eng., 2025

A robust and efficient authentication and key agreement for UAV-assisted AGS communication in internet of vessels.

Shang Gao, Zuobin Ying, Zijie Pan, Jianping Cai, Maode Ma

J. King Saud Univ. Comput. Inf. Sci., 2025

Harnessing Large Language Models for question answering over complex tables.

Jian Lyu, Zuobin Ying, Ning Shi, Jingfeng Xue, Zijie Pan, Weiping Ding, Wanlei Zhou

Eng. Appl. Artif. Intell., 2025

Diffusion2: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models.

Zeyu Yang, Zijie Pan, Chun Gu, Li Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning.

Hanyu Zhao, Zijie Pan, Yajie Wang, Zuobin Ying, Lei Xu, Yu-An Tan

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

One-Shot Backdoor Removal for Federated Learning.

Zijie Pan, Zuobin Ying, Yajie Wang, Chuan Zhang, Chunhai Li, Liehuang Zhu

IEEE Internet Things J., December, 2024

HP-MIA: A novel membership inference attack scheme for high membership prediction precision.

Shi Chen, Wennan Wang, Yubin Zhong, Zuobin Ying, Weixuan Tang, Zijie Pan

Comput. Secur., January, 2024

Machine unlearning in brain-inspired neural network paradigms.

Chaoyi Wang, Zuobin Ying, Zijie Pan

Frontiers Neurorobotics, 2024

4D Gaussian Splatting: Modeling Dynamic Scenes with Native 4D Primitives.

Zeyu Yang, Zijie Pan, Xiatian Zhu, Li Zhang, Yu-Gang Jiang, Philip H. S. Torr

CoRR, 2024

Driving Scene Synthesis on Free-form Trajectories with Generative Prior.

Zeyu Yang, Zijie Pan, Yuankun Yang, Xiatian Zhu, Li Zhang

CoRR, 2024

International Trade Flow Prediction with Bilateral Trade Provisions.

Zijie Pan, Stepan Gordeev, Jiahui Zhao, Ziyi Meng, Caiwen Ding, Sandro Steinbach, Dongjin Song

CoRR, 2024

Diffusion²: Dynamic 3D Content Generation via Score Composition of Orthogonal Diffusion Models.

Zeyu Yang, Zijie Pan, Chun Gu, Li Zhang

CoRR, 2024

S²IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting.

Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song

CoRR, 2024

Structural Knowledge Informed Continual Multivariate Time Series Forecasting.

Zijie Pan, Yushan Jiang, Dongjin Song, Sahil Garg, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka

CoRR, 2024

Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements.

Jiahui Zhao, Ziyi Meng, Stepan Gordeev, Zijie Pan, Dongjin Song, Sandro Steinbach, Caiwen Ding

CoRR, 2024

Fast Dynamic 3D Object Generation from a Single-view Video.

Zijie Pan, Zeyu Yang, Xiatian Zhu, Li Zhang

CoRR, 2024

Model architecture level privacy leakage in neural networks.

Yan Li, Hongyang Yan, Teng Huang, Zijie Pan, Jiewei Lai, Xiaoxue Zhang, Kongyang Chen, Jin Li

Sci. China Inf. Sci., 2024

An Efficient Federated Meta Unlearning Algorithm with Enhanced Privacy Protection.

Yani Wang, Zuobin Ying, Zijie Pan, Enmin Zhu, Wanlei Zhou

Proceedings of the Network and Parallel Computing, 2024

Tetrahedron Splatting for 3D Generation.

Chun Gu, Zeyu Yang, Zijie Pan, Xiatian Zhu, Li Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Empowering Time Series Analysis with Large Language Models: A Survey.

Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting.

Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting.

Zeyu Yang, Hongye Yang, Zijie Pan, Li Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping.

Zijie Pan, Jiachen Lu, Xiatian Zhu, Li Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Membership reconstruction attack in deep neural networks.

Yucheng Long, Zuobin Ying, Hongyang Yan, Ranqing Fang, Xingyu Li, Yajie Wang, Zijie Pan

Inf. Sci., July, 2023

FedECG: A federated semi-supervised learning framework for electrocardiogram abnormalities prediction.

Zuobin Ying, Guoyang Zhang, Zijie Pan, Chiawei Chu, Ximeng Liu

J. King Saud Univ. Comput. Inf. Sci., June, 2023

Privacy-Preserving Multi-Granular Federated Neural Architecture Search - A General Framework.

Zijie Pan, Li Hu, Weixuan Tang, Jin Li, Yi He, Zheli Liu

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

Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting.

Zeyu Yang, Hongye Yang, Zijie Pan, Xiatian Zhu, Li Zhang

CoRR, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2021

PNAS: A privacy preserving framework for neural architecture search services.

Zijie Pan, Jiajin Zeng, Riqiang Cheng, Hongyang Yan, Jin Li

Inf. Sci., 2021

MHAT: An efficient model-heterogenous aggregation training scheme for federated learning.

Li Hu, Hongyang Yan, Lang Li, Zijie Pan, Xiaozhang Liu, Zulong Zhang

Inf. Sci., 2021