UAV Path Planning Based on Adaptive Weighted - Pigeon-Inspired Optimization Algorithm. - Na Lin 001; Siming Huang; Changqing Gong; Liang Zhao 004; Jiacheng Tang (ICONIP (6), 2017)

Communication Link Elimination in Static LQG Teams. - Jiacheng Tang; Abhishek Gupta 002 (Allerton, 2018)

An Adaptive Variational Bayesian Algorithm for Measurement Loss for Underwater Navigation. - Haoqian Huang; Jiacheng Tang; Yuanfeng Jin (ICSPCC, 2020)

Cubature Kalman Filtering Fusing Expectationmaximization Method for Attitude Determination Applied to Underwater Glider. - Haoqian Huang; Guangsheng Wu; Jiacheng Tang (ISIE, 2020)

A Novel Nonlinear Algorithm for Non-Gaussian Noises and Measurement Information Loss in Underwater Navigation. - Haoqian Huang; Jiacheng Tang; Bo Zhang; Jianfeng Chen; Jiajin Zhang; Xiang Song 004 (IEEE Access, 2020)

Multi-Objective Vehicle Rebalancing for Ridehailing System using a Reinforcement Learning Approach. - Yuntian Deng; Hao Chen; Shiping Shao; Jiacheng Tang; Jianzong Pi; Abhishek Gupta 002 (CoRR, 2020)

A 300-kHz 6.6-kW SiC Bidirectional LLC Onboard Charger. - Haoran Li 004; Zhiliang Zhang; Shengdong Wang; Jiacheng Tang; Xiaoyong Ren; Qianhong Chen (IEEE Trans. Ind. Electron., 2020)

A Dynamic Watermarking Algorithm for Finite Markov Decision Problems. - Jiacheng Tang; Jiguo Song; Abhishek Gupta 002 (CoRR, 2021)

Variational Bayesian-Based Filter for Inaccurate Input in Underwater Navigation. - Haoqian Huang; Jiacheng Tang; Cong Liu; Bo Zhang; Bing Wang 016 (IEEE Trans. Veh. Technol., 2021)

Change Detection of Markov Kernels with Unknown Pre and Post Change Kernel. - Hao Chen; Jiacheng Tang; Abhishek Gupta 002 (CDC, 2022)

Open the Black Box of Recurrent Neural Network by Decoding the Internal Dynamics. - Jiacheng Tang; Hao Yin; Qi Kang (ICNSC, 2022)

An Improved Sage-Husa Adaptive Kalman Filtering Applied to Cooperative Navigation of Autonomous Underwater Vehicles. - Haoqian Huang; Hao Wu; Shuang Zhang; Chen Yang; Jiacheng Tang (ISIE, 2022)

Change Detection of Markov Kernels with Unknown Post Change Kernel using Maximum Mean Discrepancy. - Hao Chen; Jiacheng Tang; Abhishek Gupta 002 (CoRR, 2022)

Sketching for Elimination of Communication Links in LQG Teams. - Jiacheng Tang; Abhishek Gupta 002 (IEEE Control. Syst. Lett., 2022)

Performing Effective Generative Learning from a Single Image Only. - Qihui Xu; Jinshu Chen; Jiacheng Tang; Qi Kang; MengChu Zhou (WOCC, 2023)

Chaotic resonance in discrete fractional-order LIF neural network motifs. - Hao Yin; Jiacheng Tang; Bo Liu; Shuaiyu Yao; Qi Kang (Int. J. Bio Inspired Comput., 2023)

Nash Equilibrium Control Policy Against Bus-off Attacks in CAN Networks. - Jiacheng Tang; Shiping Shao; Jiguo Song; Abhishek Gupta 002 (IEEE Trans. Inf. Forensics Secur., 2023)

FPRAN: A Hierarchical Generative Model for Few-Shot Pantograph Fault Diagnosis. - Qihui Xu; Jiacheng Tang; Qi Kang; Qinhao Wu; Shuaiyu Yao (ICNSC, 2024)

Research on Agricultural Machine Scheduling in Hilly Areas Based on Improved Non-Dominated Sorting Genetic Algorithm-III. - Huanyu Liu; Lihan Zhang; Baidong Zhao; Jiacheng Tang; Fulin Wang; Shuang Wang (IEEE Access, 2024)

Collaborative Participatory Research with LLM Agents in South Asia: An Empirically-Grounded Methodological Initiative and Agenda from Field Evidence in Sri Lanka. - Xinjie Zhao; Shyaman Maduranga Sriwarnasinghe; Jiacheng Tang; Shiyun Wang; Hao Wang; So Morikawa (CoRR, 2024)

MemeNet: Toward a Reliable Local Projection for Image Recognition via Semantic Featurization. - Jiacheng Tang; Qi Kang; Mengchu Zhou; Hao Yin; Siya Yao (IEEE Trans. Image Process., 2024)

Enhancing Participatory Development Research in South Asia through LLM Agents System: An Empirically-Grounded Methodological Initiative from Field Evidence in Sri Lankan. - Xinjie Zhao; Hao Wang; Shyaman Maduranga Sriwarnasinghe; Jiacheng Tang; Shiyun Wang; Sayaka Sugiyama; So Morikawa (COLING Workshops, 2025)

From Metaphor to Mechanism: How LLMs Decode Traditional Chinese Medicine Symbolic Language for Modern Clinical Relevance. - Jiacheng Tang; Nankai Wu; Fan Gao; Chengxiao Dai; Mengyao Zhao; Xinjie Zhao (CoRR, 2025)

ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA. - Xinjie Zhao; Fan Gao; Rui Yang; Yingjian Chen; Yuyang Wang; Ying Zhu; Jiacheng Tang; Irene Li (CoRR, 2025)

Spatial-temporal fuzzy cognitive maps based on adaptive graph learning for multivariate time series interpretable prediction. - Jiacheng Tang; Fengqian Ding; Rui Shao; Luo Chao (Appl. Intell., 2025)