Junlong Wu

According to our database, Junlong Wu authored at least 26 papers between 2019 and 2026.

Collaborative distances:

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

2026

Towards combining chain-of-thought and code static analysis for buffer overflow vulnerability detection.

Yuan Huang, Yinan Chen, Jiahong Cai, Junlong Wu, Xiangping Chen, Pengfei Shen, Lei Yun

Softw. Qual. J., March, 2026

Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe.

Xixi Wu, Qianguo Sun, Ruiyang Zhang, Chao Song, Junlong Wu, Yiyan Qi, Hong Cheng

CoRR, March, 2026

A Feasibility-Enhanced Control Barrier Function Method for Multi-UAV Collision Avoidance.

Qishen Zhong, Junlong Wu, Jian Yang, Guanwei Xiao, Junqi Wu, Zimeng Jiang, Pingan Fang

CoRR, March, 2026

Federated graph-level clustering network with adaptive knowledge compensation.

Renda Han, Xinyuan Li, Guangzhen Yao, Mengfei Li, Wenxin Zhang, Ronghao Fu, Zeyu Zhang, Junlong Wu

Neural Networks, 2026

FedCND: Federated Graph-Level Clustering under Inter-Client Cluster Number Discrepancy.

Junlong Wu, Renda Han, Wenxuan Tu, Jingxin Liu, Haotian Wang, Jieren Cheng

Proceedings of the ACM Web Conference 2026, 2026

CCASNet: Criss-Cross Attention Enhanced Network with Dual-Channel Spatial Modeling for Medical Image Segmentation.

Cheng Fu, Junlong Wu, Xianhong Chen, Hujin Peng, Jing Xu, Junyuan Gong, Zeyun Liu, Wenzheng Liu, Tan Deng, Ming Yuan

Proceedings of the MultiMedia Modeling, 2026

Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering.

Jingxin Liu, Wenxuan Tu, Haotian Wang, Renda Han, Haoyi Li, Junlong Wu, Xiangyan Tang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Personalized Federated Graph-Level Clustering Network.

Jingxin Liu, Wenxuan Tu, Renda Han, Junlong Wu, Haotian Wang, Guohui Liu, Xiangyan Tang, Yue Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Federated Graph-level Clustering Network with Attribute Inference.

Renda Han, Junlong Wu, Wenxuan Tu, Jingxin Liu, Haotian Wang, Jieren Cheng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Linear Preference Optimization: Decoupled Gradient Control via Absolute Regularization.

Rui Wang, Qianguo Sun, Chao Song, Junlong Wu, Tianrong Chen, Zhiyun Zeng, Yu Li

CoRR, August, 2025

UniTTS: An end-to-end TTS system without decoupling of acoustic and semantic information.

Rui Wang, Qianguo Sun, Tianrong Chen, Zhiyun Zeng, Junlong Wu, Jiaxing Zhang

CoRR, May, 2025

Domain adaptive object detection via synthetically generated intermediate domain and progressive feature alignment.

Ding Gao, Qian Wang, Jian Yang, Junlong Wu

Image Vis. Comput., 2025

SafeSim: An Open-Source Platform for Safety-Critical Driving Scenario Simulation and Curriculum-based Adversarial Training.

Yizhe Li, Linrui Zhang, Jiuzhou Lin, Junlong Wu, Qi Yang, Han Zheng, Xueqian Wang, Houde Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Finite-time Guiding Vector Fields for Accelerated Path Following of Nonholonomic Robots.

Jian Yang, Junlong Wu, Yuan Ouyang, Weijia Yao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

ARC: Robots Adaptive Risk-aware Robust Control via Distributional Reinforcement Learning.

Junlong Wu, Yi Cheng, Hang Liu, Houde Liu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Dual Boost-Driven Graph-Level Clustering Network.

Renda Han, Wenxuan Tu, Junlong Wu, Wenxin Zhang, Jingxin Liu, Haotian Wang, Jieren Cheng, Huajie Lei, Guangzhen Yao, Lingren Wang, Mengfei Li, Yu Li

Proceedings of the International Joint Conference on Neural Networks, 2025

Federated Node-Level Clustering Network with Cross-Subgraph Link Mending.

Jingxin Liu, Renda Han, Wenxuan Tu, Haotian Wang, Junlong Wu, Jieren Cheng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

FedPKA: Federated Graph-Level Clustering Network with Personalized Knowledge Aggregation.

Junlong Wu, Haotian Wang, Jingxin Liu, Wenxuan Tu, Renda Han, Jieren Cheng, Xiangyan Tang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Intelligent-Critic-Based Tracking Control of Discrete-Time Input-Affine Systems and Approximation Error Analysis With Application Verification.

Ding Wang, Ning Gao, Mingming Ha, Mingming Zhao, Junlong Wu, Junfei Qiao

IEEE Trans. Cybern., August, 2024

Advanced Optimal Tracking Control With Stability Guarantee via Novel Value Learning Formulation.

Ding Wang, Junlong Wu, Mingming Ha, Mingming Zhao, Menghua Li, Junfei Qiao

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Novel generalized policy iteration for efficient evolving control of nonlinear systems.

Haiming Huang, Ding Wang, Hua Wang, Junlong Wu, Mingming Zhao

Neurocomputing, 2024

2023

Novel Discounted Optimal Tracking Design Under Offline and Online Formulations for Asymmetric Constrained Systems.

Ding Wang, Junlong Wu, Jin Ren, Peng Xin, Junfei Qiao

IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Discounted Near-Optimal Control of Affine Systems via a Progressive Cost Evolution Formulation.

Ding Wang, Junlong Wu, Lingzhi Hu, Junfei Qiao

IEEE Trans. Circuits Syst. II Express Briefs, April, 2023

2022

Online Value Iteration for Intelligent Discounted Tracking Design of Constrained Systems.

Ding Wang, Junlong Wu, Jin Ren, Junfei Qiao

IEEE Trans. Circuits Syst. II Express Briefs, 2022

2020

Automatic calibration and simplified decoding pipeline for plenoptic camera.

Junlong Wu, Zhenghua Guo, Xianfeng Chen, Shuai Ma, Bing Xu, Ping Yang

J. Electronic Imaging, 2020

2019

Accurate Light Field Depth Estimation Using Multi-Orientation Partial Angular Coherence.

Zhenghua Guo, Junlong Wu, Xianfeng Chen, Shuai Ma, Licheng Zhu, Ping Yang, Bing Xu

IEEE Access, 2019