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ORCIDTongtong Su
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2026
[j7]Tongtong Su
, Chengmin Yan, Huilin Liu, Jiale Si, Xukai Wang, Jinqi Zhu, Chenyang Wang, Xiguo Zhou, Jia Guo:
Holistic prediction comparison for knowledge distillation. Neurocomputing 674: 132754 (2026)- [c15]Tongtong Su, Chengyu Wang, Haipeng Liao, Jun Huang, Dongming Lu:
Zero-to-Hero: Empowering Video Appearance Transfer with Zero-Shot Initialization and Holistic Restoration. AAAI 2026: 9153-9161 - [c14]Yan Ding, Jinqi Zhu, Tongtong Su, Di Lv, Weijia Feng, Chenyang Wang:
StableEKF-Transformer: Uncertainty-Aware State of Health Estimation with Dynamic Covariance Calibration and Diagonal Jacobian Parameterization. DASFAA (3) 2026: 405-421 - [c13]Ruojia Zhang, Weijia Feng, Tongtong Su, Wentao Wang, Fengtao Sun, Chenyang Wang, Chongke Bi:
The Power of Weighting: Multi-teacher Distillation for Communication-Efficient Federated Learning. DASFAA (4) 2026: 489-505 - [c12]Jiale Si, Huilin Liu, Chengmin Yan, Weijia Feng, Chenyang Wang, Tongtong Su, Jinqi Zhu:
Learning to Weigh and Distill: Gated Adaptive Knowledge Distillation for Multi-Teacher Allocation. INFOCOM 2026: 1-6 - [c11]Boyue Zhang, Weijia Feng, Ruojia Zhang, Rui Lan, Tongtong Su, Chenyang Wang, Chongke Bi:
FedGRO: Group Relative Optimization for Resource-Efficient Federated Self-Supervised Learning in V2X. INFOCOM 2026: 1-6 - [c10]Xiao Tan, Tongtong Su, Jiayi Wu, Yan Zhang, Binghui Xu, Dian Shen, Meng Wang, Beilun Wang:
Identification of Influential Node Group in Attributed Graph through Explaining Graph Neural Network. WWW 2026: 1171-1182 - [i5]Weijia Feng, Jingyu Yang, Ruojia Zhang, Fengtao Sun, Qian Gao, Chenyang Wang, Tongtong Su, Jia Guo, Xiaobai Li, Minglai Shao:
Active Inference for Micro-Gesture Recognition: EFE-Guided Temporal Sampling and Adaptive Learning. CoRR abs/2603.07559 (2026) - [i4]Junyuan Xiao, Dingkang Liang, Xin Zhou, Yixuan Ye, Tongtong Su, Guangmo Yi, Bin Xia, Qiang Lyu, Shurui Shi, Jun Huang, Jianlou Si, Wenming Yang:
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models. CoRR abs/2605.01896 (2026) - 2025
- [c9]Tongtong Su, Chengyu Wang, Bingyan Liu, Jun Huang, Dongming Lu:
Encapsulated Composition of Text-to-Image and Text-to-Video Models for High-Quality Video Synthesis. CVPR 2025: 18209-18218 - [c8]Tongtong Su, Chengyu Wang, Bingyan Liu, Jun Huang, Dongming Lu:
AdaptEdit: An Adaptive Correspondence Guidance Framework for Reference-Based Video Editing. IJCAI 2025: 10180-10188 - [c7]Tongtong Su, Yun Liao, Fengbo Zheng:
SDPGO: Efficient Self-Distillation Training Meets Proximal Gradient Optimization. NeurIPS 2025 - [i3]Bingyan Liu, Chengyu Wang, Tongtong Su, Huan Ten, Jun Huang, Kailing Guo, Kui Jia:
Understanding Attention Mechanism in Video Diffusion Models. CoRR abs/2504.12027 (2025) - [i2]Tongtong Su, Chengyu Wang, Jun Huang, Dongming Lu:
Zero-to-Hero: Zero-Shot Initialization Empowering Reference-Based Video Appearance Editing. CoRR abs/2505.23134 (2025) - [i1]Tongtong Su, Chengyu Wang, Bingyan Liu, Jun Huang, Dongming Lu:
Encapsulated Composition of Text-to-Image and Text-to-Video Models for High-Quality Video Synthesis. CoRR abs/2507.13753 (2025) - 2024
- [j6]Tongtong Su, Daming Liu:
Transmission line defect detection based on feature enhancement. Multim. Tools Appl. 83(12): 36419-36431 (2024) - 2023
- [j5]Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Ziyue Xu, Gang Wang, Xiaoguang Liu:
Deep Cross-Layer Collaborative Learning Network for Online Knowledge Distillation. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2075-2087 (2023) - [j4]Yan Wang, Tongtong Su, Yusen Li, Jiuwen Cao, Gang Wang, Xiaoguang Liu:
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-Resolution. IEEE Trans. Multim. 25: 7222-7234 (2023) - [j3]Tongtong Su, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu:
STKD: Distilling Knowledge From Synchronous Teaching for Efficient Model Compression. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10051-10064 (2023) - [c6]Tongtong Su, Jinsong Zhang, Gang Wang, Xiaoguang Liu:
Self-Supervised Learning with Explorative Knowledge Distillation. ICASSP 2023: 1-5 - [c5]Zhaoyang Yu, Sinong Zhao, Tongtong Su, Wenwen Liu, Xiaoguang Liu, Gang Wang, Zehua Wang, Victor C. M. Leung:
RADEAN: A Resource Allocation Model Based on Deep Reinforcement Learning and Generative Adversarial Networks in Edge Computing. MobiQuitous (1) 2023: 257-277 - 2022
- [c4]Zhaoyang Yu, Sinong Zhao, Tongtong Su, Wenwen Liu, Xiaoguang Liu, Gang Wang, Zehua Wang, Victor C. M. Leung:
DeepSCJD: An Online Deep Learning-Based Model for Secure Collaborative Job Dispatching in Edge Computing. ICSOC 2022: 481-497 - 2021
- [j2]Xiao Tan, Tianyi Ma, Tongtong Su:
Fast and Privacy-Preserving Federated Joint Estimator of Multi-sUGMs. IEEE Access 9: 104079-104092 (2021) - [c3]Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Gang Wang, Xiaoguang Liu:
Attention-based Feature Interaction for Efficient Online Knowledge Distillation. ICDM 2021: 579-588 - 2020
- [j1]Tongtong Su, Huazhi Sun, Jinqi Zhu, Sheng Wang, Yabo Li:
BAT: Deep Learning Methods on Network Intrusion Detection Using NSL-KDD Dataset. IEEE Access 8: 29575-29585 (2020)
2010 – 2019
- 2019
- [c2]Tongtong Su, Huazhi Sun, Sheng Wang:
Intrusion Detection Using Convolutional Recurrent Neural Network. ICCPR 2019: 413-419 - [c1]Tongtong Su, Huazhi Sun, Chunmei Ma, Lifen Jiang, Tongtong Xu:
HDL: Hierarchical Deep Learning Model based Human Activity Recognition using Smartphone Sensors. IJCNN 2019: 1-8
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