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2020 – today
- 2024
[j8]Yan Li, Hongyang Yan, Teng Huang, Zijie Pan, Jiewei Lai, Xiaoxue Zhang, Kongyang Chen
, Jin Li:
Model architecture level privacy leakage in neural networks. Sci. China Inf. Sci. 67(3) (2024)- [j7]Shi Chen, Wennan Wang, Yubin Zhong, Zuobin Ying, Weixuan Tang, Zijie Pan:
HP-MIA: A novel membership inference attack scheme for high membership prediction precision. Comput. Secur. 136: 103571 (2024) - [j6]Chaoyi Wang, Zuobin Ying, Zijie Pan:
Machine unlearning in brain-inspired neural network paradigms. Frontiers Neurorobotics 18 (2024) - [c5]Zijie Pan, Jiachen Lu, Xiatian Zhu, Li Zhang:
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping. ICLR 2024 - [c4]Zeyu Yang, Hongye Yang, Zijie Pan, Li Zhang:
Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting. ICLR 2024 - [c3]Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song:
S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting. ICML 2024 - [c2]Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song:
Empowering Time Series Analysis with Large Language Models: A Survey. IJCAI 2024: 8095-8103 - [i10]Zijie Pan, Zeyu Yang, Xiatian Zhu, Li Zhang:
Fast Dynamic 3D Object Generation from a Single-view Video. CoRR abs/2401.08742 (2024) - [i9]Jiahui Zhao, Ziyi Meng, Stepan Gordeev, Zijie Pan, Dongjin Song, Sandro Steinbach, Caiwen Ding:
Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements. CoRR abs/2401.12520 (2024) - [i8]Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song:
Empowering Time Series Analysis with Large Language Models: A Survey. CoRR abs/2402.03182 (2024) - [i7]Zijie Pan, Yushan Jiang, Dongjin Song, Sahil Garg, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka:
Structural Knowledge Informed Continual Multivariate Time Series Forecasting. CoRR abs/2402.12722 (2024) - [i6]Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song:
S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting. CoRR abs/2403.05798 (2024) - [i5]Zeyu Yang, Zijie Pan, Chun Gu, Li Zhang:
Diffusion2: Dynamic 3D Content Generation via Score Composition of Orthogonal Diffusion Models. CoRR abs/2404.02148 (2024) - [i4]Chun Gu, Zeyu Yang, Zijie Pan, Xiatian Zhu, Li Zhang:
Tetrahedron Splatting for 3D Generation. CoRR abs/2406.01579 (2024) - [i3]Zijie Pan, Stepan Gordeev, Jiahui Zhao, Ziyi Meng, Caiwen Ding, Sandro Steinbach, Dongjin Song:
International Trade Flow Prediction with Bilateral Trade Provisions. CoRR abs/2407.13698 (2024) - 2023
- [j5]Yucheng Long, Zuobin Ying, Hongyang Yan, Ranqing Fang, Xingyu Li, Yajie Wang, Zijie Pan:
Membership reconstruction attack in deep neural networks. Inf. Sci. 634: 27-41 (2023) - [j4]Zuobin Ying, Guoyang Zhang, Zijie Pan, Chiawei Chu, Ximeng Liu:
FedECG: A federated semi-supervised learning framework for electrocardiogram abnormalities prediction. J. King Saud Univ. Comput. Inf. Sci. 35(6): 101568 (2023) - [j3]Zijie Pan, Li Hu, Weixuan Tang, Jin Li, Yi He, Zheli Liu:
Privacy-Preserving Multi-Granular Federated Neural Architecture Search - A General Framework. IEEE Trans. Knowl. Data Eng. 35(3): 2975-2986 (2023) - [c1]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 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:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [i2]Zeyu Yang, Hongye Yang, Zijie Pan, Xiatian Zhu, Li Zhang:
Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting. CoRR abs/2310.10642 (2023) - [i1]Zijie Pan, Jiachen Lu, Xiatian Zhu, Li Zhang:
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping. CoRR abs/2310.12474 (2023) - 2021
- [j2]Li Hu, Hongyang Yan, Lang Li, Zijie Pan, Xiaozhang Liu, Zulong Zhang:
MHAT: An efficient model-heterogenous aggregation training scheme for federated learning. Inf. Sci. 560: 493-503 (2021) - [j1]Zijie Pan, Jiajin Zeng, Riqiang Cheng, Hongyang Yan, Jin Li:
PNAS: A privacy preserving framework for neural architecture search services. Inf. Sci. 573: 370-381 (2021)
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