Visibility Detection Based on the Recognition of the Preceding Vehicle's Taillight Signals. - Yanjun Guo; Qingjin Xu; Yanqi Su; Siyang Jiang (IEEE Access, 2020)

A Study on an Anthropomorphic Car-Following Strategy Framework of the Autonomous Coach in Mixed Traffic Flow. - Chen Zhao; Siyang Jiang; Yi Lei; Chang Wang 002 (IEEE Access, 2020)

Defect Detection of Pantograph Slide Based on Deep Learning and Image Processing Technology. - Xiukun Wei; Siyang Jiang; Yan Li; Chenliang Li; Limin Jia 002; Yongguang Li (IEEE Trans. Intell. Transp. Syst., 2020)

Dataflow Systolic Array Implementations of Exploring Dual-Triangular Structure in QR Decomposition Using High-Level Synthesis. - Siyang Jiang; Hsi-Wen Chen; Ming-Syan Chen (FPT, 2021)

RIIT: Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning. - Jian Hu; Haibin Wu; Seth Austin Harding; Siyang Jiang; Shih-wei Liao (CoRR, 2021)

Dual-Triangular QR Decomposition with Global Acceleration and Partially Q-Rotation Skipping. - Rui Fang 002; Siyang Jiang; Hsi-Wen Chen; Wei Ding; Ming-Syan Chen (FPT, 2022)

BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning. - Xian Shuai; Yulin Shen 001; Siyang Jiang; Zhihe Zhao; Zhenyu Yan 002; Guoliang Xing (IPSN, 2022)

PGADA: Perturbation-Guided Adversarial Alignment for Few-Shot Learning Under the Support-Query Shift. - Siyang Jiang; Wei Ding; Hsi-Wen Chen; Ming-Syan Chen (PAKDD (1), 2022)

Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration. - Wei Ding; Siyang Jiang; Hsi-Wen Chen; Ming-Syan Chen (AAAI, 2023)

Poster Abstract: CNN-guardian: Secure Neural Network Inference Acceleration on Edge GPU. - Qipeng Xie; Hao Yang 062; Linshan Jiang; Zhihe Zhao; Siyang Jiang; Shiyu Shen 001; Salabat Khan; Zhe Liu 001; Kaishun Wu (SenSys, 2023)

Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning. - Siyang Jiang; Rui Fang 002; Hsi-Wen Chen; Wei Ding; Ming-Syan Chen (CoRR, 2023)

Model-Heterogeneous Federated Learning for Internet of Things: Enabling Technologies and Future Directions. - Boyu Fan; Siyang Jiang; Xiang Su; Pan Hui 001 (CoRR, 2023)

XNET: A Real-Time Unified Secure Inference Framework Using Homomorphic Encryption. - Hao Yang; Shiyu Shen 001; Siyang Jiang; Lu Zhou 002; Wangchen Dai; Yunlei Zhao (IACR Cryptol. ePrint Arch., 2023)

Pairwise learning problems with regularization networks and Nyström subsampling approach. - Cheng Wang; Ting Hu 002; Siyang Jiang (Neural Networks, 2023)

LiCAM: Long-Tailed Instance Segmentation with Real-Time Classification Accuracy Monitoring. - Rongguang Ye; Yantong Guo; Xian Shuai; Rongye Ye; Siyang Jiang; Hui Jiang (J. Circuits Syst. Comput., 2023)

A Survey on Model-heterogeneous Federated Learning: Problems, Methods, and Prospects. - Boyu Fan; Siyang Jiang; Xiang Su; Sasu Tarkoma; Pan Hui 001 (IEEE Big Data, 2024)

EEG Decoding of Auditory Spatial Attention Based on Visibility Graph and Machine Learning. - Peixin Wang; Tasleem Kausar; Heng Li 013; Siyang Jiang; Yingying Rong; Yun Lu 004 (CVDL, 2024)

ArtFL: Exploiting Data Resolution in Federated Learning for Dynamic Runtime Inference via Multi-Scale Training. - Siyang Jiang; Xian Shuai; Guoliang Xing (IPSN, 2024)

Demo Abstract: CaringFM: An Interactive In-home Healthcare System Empowered by Large Foundation Models. - Haiyang Wu; Kaiwei Liu 001; Siyang Jiang; Zhihe Zhao; Zhenyu Yan 002; Guoliang Xing (IPSN, 2024)

Poster Abstract: Threshold Cryptography-based Authentication Protocol for Remote Healthcare. - Qipeng Xie; Zhihe Zhao; Linshan Jiang; Siyang Jiang; Salabat Khan; Weizheng Wang; Kaishun Wu (IPSN, 2024)

Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption. - Siyang Jiang; Hao Yang; Qipeng Xie; Chuan Ma 001; Sen Wang; Guoliang Xing (CoRR, 2024)

Efficiency Optimization Techniques in Privacy-Preserving Federated Learning With Homomorphic Encryption: A Brief Survey. - Qipeng Xie; Siyang Jiang; Linshan Jiang; Yongzhi Huang 002; Zhihe Zhao; Salabat Khan; Wangchen Dai; Zhe Liu 001; Kaishun Wu (IEEE Internet Things J., 2024)

DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge. - Bufang Yang; Siyang Jiang; Lilin Xu; Kaiwei Liu 001; Hai Li; Guoliang Xing; Hongkai Chen 001; Xiaofan Jiang 001; Zhenyu Yan 002 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Accelerating Synchronization via Edge-Addition or Edge-Removal in a Chaotic Directed Network. - Anrui Hu; Jin Zhou 004; Siyang Jiang; Jie Hu; Jun-An Lu (Int. J. Bifurc. Chaos, 2025)

A Safe-Critical and Efficient Self-Merging Strategy for CAVs in Mixed Traffic Scenarios. - Siyang Jiang; Menglu Gu; Yanqi Su; Chang Wang 002; Wenhui Wei (IEEE Internet Things J., 2025)

An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding. - Siyang Jiang; Bufang Yang; Lilin Xu; Mu Yuan; Yeerzhati Abudunuer; Kaiwei Liu 001; Liekang Zeng; Hongkai Chen 001; Zhenyu Yan 002; Xiaofan Jiang 001; Guoliang Xing (CoRR, 2025)

ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory Perceptions. - Bufang Yang; Lilin Xu; Liekang Zeng; Kaiwei Liu 001; Siyang Jiang; Wenrui Lu; Hongkai Chen 001; Xiaofan Jiang 001; Guoliang Xing; Zhenyu Yan 002 (CoRR, 2025)