Intrusion Detection Using PCASOM Neural Networks. - Guisong Liu; Zhang Yi 001 (ISNN (2), 2006)

A hierarchical intrusion detection model based on the PCA neural networks. - Guisong Liu; Zhang Yi 001; Shangming Yang (Neurocomputing, 2007)

Boosting the Hierarchical Hyperellipsoidal Neural Gas Networks. - Xiufen Fang; Guisong Liu; Tingzhu Huang (ICNC (3), 2008)

Modified PCNN Filtering for Fingerprint Enhancement. - Luping Ji; Xiaorong Pu; Guisong Liu (ICNC (2), 2009)

Study to Speech Emotion Recognition Based on TWINsSVM. - Chengfu Yang; Luping Ji; Guisong Liu (ICNC (2), 2009)

Context-Aware Optimization on Medium Access Delay for High-Density 802.11n Wi-Fi Network. - Guolin Sun; Guisong Liu; Yao Li; Chuan Xiao (CyberC, 2013)

SDN architecture for cognitive radio networks. - Guolin Sun; Guisong Liu; Yi Wang (CCS, 2014)

Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks. - Xiurui Xie; Hong Qu; Guisong Liu; Lingshuang Liu (ICONIP (1), 2014)

Extended monitoring with group localization in software defined hybrid Wi-Fi/zigbee networks: An initial prototype. - Guolin Sun; Feng Liu; Nengfeng Liu; Guisong Liu (WPMC, 2014)

One-dimensional pairwise CNN for the global alignment of two DNA sequences. - Luping Ji; Xiaorong Pu; Hong Qu; Guisong Liu (Neurocomputing, 2015)

Computing k shortest paths using modified pulse-coupled neural network. - Guisong Liu; Zhao Qiu; Hong Qu; Luping Ji (Neurocomputing, 2015)

Computing k shortest paths from a source node to each other node. - Guisong Liu; Zhao Qiu; Hong Qu; Luping Ji; Alexander Takacs (Soft Comput., 2015)

Joint Resource Reservation and Flow Scheduling for Ultra-Low-Latency Transmission. - Guolin Sun; Dawit Kefyalew; Guisong Liu (LCN, 2016)

Air-Interface Slice Based Dynamic Resource Reservation for Ultra-Low-Latency IoT Transmissions. - Guolin Sun; Guohui Wang; Guisong Liu (LCN, 2016)

User Demand Aware Soft-Association Control in Ultra-Dense Small Cell Networks. - Guolin Sun; Hangming Zhang; Guisong Liu (LCN, 2016)

Energy Efficient Cell Management by Flow Scheduling in Ultra Dense Networks. - Guolin Sun; Prince Clement Addo; Guohui Wang; Guisong Liu (KSII Trans. Internet Inf. Syst., 2016)

MARS: Multiple Access Radio Scheduling for a Multi-homed Mobile Device in Soft-RAN. - Guolin Sun; Kongmaing Eng; Seng Yin; Guisong Liu; Geyong Min (KSII Trans. Internet Inf. Syst., 2016)

Reservation based Resource Management for SDN-based UE Cloud. - Guolin Sun; Dawit Kefyalew; Guisong Liu (KSII Trans. Internet Inf. Syst., 2016)

Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule. - Xiurui Xie; Hong Qu; Guisong Liu; Malu Zhang (Neurocomputing, 2017)

User Bandwidth Demand Centric Soft-Association Control in Wi-Fi Networks. - Guolin Sun; Sebakara Samuel Rene Adolphe; Hangming Zhang; Guisong Liu; Wei Jiang 002 (KSII Trans. Internet Inf. Syst., 2017)

Big Data Based Dynamic Flow Aggregation over 5G Network Slicing. - Guolin Sun; Bruce Mareri; Guisong Liu; Xiufen Fang; Wei Jiang 002 (KSII Trans. Internet Inf. Syst., 2017)

Dynamic Resource Reservation for Ultra-low Latency IoT Air-Interface Slice. - Guolin Sun; Guohui Wang; Prince Clement Addo; Guisong Liu; Wei Jiang 002 (KSII Trans. Internet Inf. Syst., 2017)

Sparse Label Smoothing for Semi-supervised Person Re-Identification. - Jean-Paul Ainam; Ke Qin; Guisong Liu; Guangchun Luo (CoRR, 2018)

Self Attention Grid for Person Re-Identification. - Jean-Paul Ainam; Ke Qin; Guisong Liu (CoRR, 2018)

Median local ternary patterns optimized with rotation-invariant uniform-three mapping for noisy texture classification. - Luping Ji; Yan Ren; Xiaorong Pu; Guisong Liu (Pattern Recognit., 2018)

Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification. - Luping Ji; Yan Ren; Guisong Liu; Xiaorong Pu (IEEE Trans. Cybern., 2018)

Deep Residual Network with Self Attention Improves Person Re-Identification Accuracy. - Jean-Paul Ainam; Ke Qin; Guisong Liu; Guangchun Luo (ICMLC, 2019)

Sparse Label Smoothing Regularization for Person Re-Identification. - Jean-Paul Ainam; Ke Qin; Guisong Liu; Guangchun Luo (IEEE Access, 2019)

View-Invariant and Similarity Learning for Robust Person Re-Identification. - Jean-Paul Ainam; Ke Qin; Guisong Liu; Guangchun Luo (IEEE Access, 2019)

Autonomous Cache Resource Slicing and Content Placement at Virtualized Mobile Edge Network. - Guolin Sun; Hisham Al-Ward; Gordon Owusu Boateng; Guisong Liu (IEEE Access, 2019)

Relational Reinforcement Learning Based Autonomous Cell Activation in Cloud-RANs. - Guolin Sun; Gordon Owusu Boateng; Daniel Ayepah-Mensah; Guisong Liu (IEEE Access, 2019)

Dynamic Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network. - Kun Xiong; Sebakara Samuel Rene Adolphe; Gordon Owusu Boateng; Guisong Liu; Guolin Sun (IEEE Access, 2019)

Delay-aware content distribution via cell clustering and content placement for multiple tenants. - Guolin Sun; Daniel Ayepah-Mensah; Li Lu; Wei Jiang 002; Guisong Liu (J. Netw. Comput. Appl., 2019)

Multi-source sequential knowledge regression by using transfer RNN units. - Xiurui Xie; Guisong Liu; Qing Cai; Pengfei Wei 001; Hong Qu (Neural Networks, 2019)

Autonomous Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network. - Guolin Sun; Kun Xiong; Gordon Owusu Boateng; Daniel Ayepah-Mensah; Guisong Liu; Wei Jiang 002 (IEEE Syst. J., 2019)

The maximum points-based supervised learning rule for spiking neural networks. - Xiurui Xie; Guisong Liu; Qing Cai; Hong Qu; Malu Zhang (Soft Comput., 2019)

Attention-Based Interaction Trajectory Prediction. - Zhe Liu; Lizong Zhang; Zhihong Rao; Guisong Liu (AIMS, 2020)

Revised reinforcement learning based on anchor graph hashing for autonomous cell activation in cloud-RANs. - Guolin Sun; Tong Zhan; Gordon Owusu Boateng; Daniel Ayepah-Mensah; Guisong Liu; Wei Jiang 002 (Future Gener. Comput. Syst., 2020)

End-to-end CNN-based dueling deep Q-Network for autonomous cell activation in Cloud-RANs. - Guolin Sun; Daniel Ayepah-Mensah; Rong Xu; Gordon Owusu Boateng; Guisong Liu (J. Netw. Comput. Appl., 2020)

Resource slicing and customization in RAN with dueling deep Q-Network. - Guolin Sun; Kun Xiong; Gordon Owusu Boateng; Guisong Liu; Wei Jiang 002 (J. Netw. Comput. Appl., 2020)

Autonomous cell activation for energy saving in cloud-RANs based on dueling deep Q-network. - Guolin Sun; Daniel Ayepah-Mensah; Anton Budkevich; Guisong Liu; Wei Jiang 002 (Knowl. Based Syst., 2020)

Direction-sensitive relation extraction using Bi-SDP attention model. - Hailin Wang; Ke Qin; Guoming Lu; Guangchun Luo; Guisong Liu (Knowl. Based Syst., 2020)

An end-to-end functional spiking model for sequential feature learning. - Xiurui Xie; Guisong Liu; Qing Cai; Guolin Sun; Malu Zhang; Hong Qu (Knowl. Based Syst., 2020)

Efficient dynamic domain adaptation on deep CNN. - Zeheng Yang; Guisong Liu; Xiurui Xie; Qing Cai (Multim. Tools Appl., 2020)

A neural-network-based framework for cigarette laser code identification. - Zeheng Yang; Xiurui Xie; Qiugang Zhan; Guisong Liu; Qing Cai; Xu Zheng (Neural Comput. Appl., 2020)

Autonomous Resource Slicing for Virtualized Vehicular Networks With D2D Communications Based on Deep Reinforcement Learning. - Guolin Sun; Gordon Owusu Boateng; Daniel Ayepah-Mensah; Guisong Liu; Wei Jiang 002 (IEEE Syst. J., 2020)

Enforcing Affinity Feature Learning through Self-attention for Person Re-identification. - Jean-Paul Ainam; Ke Qin; Guisong Liu; Guangchun Luo; Brighter Agyemang (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Deep Neural Network Based Relation Extraction: An Overview. - Hailin Wang; Ke Qin; Rufai Yusuf Zakari; Guisong Liu; Guoming Lu (CoRR, 2021)

Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach. - Abegaz Mohammed Seid; Gordon Owusu Boateng; Stephen Anokye; Thomas Kwantwi; Guolin Sun; Guisong Liu (IEEE Internet Things J., 2021)

Zero-shot Hand-held Objects Recognition Based on Global Feature Relationships: Zero-shot Hand-held Objects Recognition Based on Global Feature Relationships. - Minghui Zhang; Lizong Zhang; Yiying Liu; Xiujian Zhang; Guisong Liu (ICIIP, 2022)

An Enhanced Representation Method for Pedestrian Trajectory Prediction based on Adaptive GCN. - Lizong Zhang; Yutao Jiang; Bei Hui; Zhe Liu; Guisong Liu (IPCCC, 2022)

Intelligent Cruise Guidance and Vehicle Resource Management With Deep Reinforcement Learning. - Guolin Sun; Kai Liu; Gordon Owusu Boateng; Guisong Liu; Wei Jiang 002 (IEEE Internet Things J., 2022)

When to transfer: a dynamic domain adaptation method for effective knowledge transfer. - Xiurui Xie; Qing Cai; Hongjie Zhang; Malu Zhang; Zeheng Yang; Guisong Liu (Int. J. Mach. Learn. Cybern., 2022)

A deep learning approach for insulator instance segmentation and defect detection. - Eldad Antwi-Bekoe; Guisong Liu; Jean-Paul Ainam; Guolin Sun; Xiurui Xie (Neural Comput. Appl., 2022)

Defect detection of photovoltaic glass based on level set map. - Shuai Dong 002; Chen Chen; Yihui Liang; Kun Zou; Guisong Liu (Neural Comput. Appl., 2022)

Transfer Learning for Autonomous Cell Activation Based on Relational Reinforcement Learning With Adaptive Reward. - Guolin Sun; Daniel Ayepah-Mensah; Rong Xu; Victor Kwaku Agbesi; Guisong Liu; Wei Jiang 002 (IEEE Syst. J., 2022)

Effective Transfer Learning Algorithm in Spiking Neural Networks. - Qiugang Zhan; Guisong Liu; Xiurui Xie; Guolin Sun; Huajin Tang (IEEE Trans. Cybern., 2022)

Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G. - Gordon Owusu Boateng; Daniel Ayepah-Mensah; Daniel Mawunyo Doe; Abegaz Mohammed Seid; Guolin Sun; Guisong Liu (IEEE Trans. Netw. Serv. Manag., 2022)

Consensus Mechanism for Blockchain-Enabled Vehicle-to-Vehicle Energy Trading in the Internet of Electric Vehicles. - Hayla Nahom Abishu; Abegaz Mohammed Seid; Yasin Habtamu Yacob; Tewodros Ayall; Guolin Sun; Guisong Liu (IEEE Trans. Veh. Technol., 2022)

DeepSecure: Detection of Distributed Denial of Service Attacks on 5G Network Slicing - Deep Learning Approach. - Noble Arden Elorm Kuadey; Gerald Tietaa Maale; Thomas Kwantwi; Guolin Sun; Guisong Liu (IEEE Wirel. Commun. Lett., 2022)

MANTA: Multi-Lane Capsule Network Assisted Traffic Classification for 5G Network Slicing. - Bruce Mareri; Gordon Owusu Boateng; Ruijie Ou; Guolin Sun; Yu Pang; Guisong Liu (IEEE Wirel. Commun. Lett., 2022)

Attention Localness in Shared Encoder-Decoder Model For Text Summarization. - Li Huang 002; Hongmei Wu; Qiang Gao 003; Guisong Liu (ICASSP, 2023)

Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction. - Qiang Gao 003; Hongzhu Fu; Yutao Wei; Li Huang 002; Xingmin Liu; Guisong Liu (KSEM (2), 2023)

HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning. - Li Huang 002; Kai Liu; Chaoran Liu; Qiang Gao 003; Xiao Zhou; Guisong Liu (KSEM (2), 2023)

Cooperative Resource Trading for Network Slicing in Industrial IoT: A Multi-Agent DRL Approach. - Gordon Owusu Boateng; Guisong Liu (CoRR, 2023)

ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling. - Qiugang Zhan; Xiurui Xie; Guisong Liu; Malu Zhang (CoRR, 2023)

When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility. - Qiang Gao 003; Fan Zhou 002; Xin Yang 012; Guisong Liu (Neurocomputing, 2023)

Two-Tier Resource Allocation for Multitenant Network Slicing: A Federated Deep Reinforcement Learning Approach. - Ruijie Ou; Guolin Sun; Daniel Ayepah-Mensah; Gordon Owusu Boateng; Guisong Liu (IEEE Internet Things J., 2023)

Bio-inspired Active Learning method in spiking neural network. - Qiugang Zhan; Guisong Liu; Xiurui Xie; Malu Zhang; Guolin Sun (Knowl. Based Syst., 2023)

Stackelberg game-based dynamic resource trading for network slicing in 5G networks. - Ruijie Ou; Gordon Owusu Boateng; Daniel Ayepah-Mensah; Guolin Sun; Guisong Liu (J. Netw. Comput. Appl., 2023)

SNAF: DRL-Based Interdependent E2E Resource Slicing Scheme for a Virtualized Network. - Sebakara Samuel Rene Adolphe; Guolin Sun; Gordon Owusu Boateng; Bruce Mareri; Ruijie Ou; Guisong Liu (IEEE Trans. Veh. Technol., 2023)

Natural image matting based on surrogate model. - Yihui Liang; Hongshan Gou; Fujian Feng; Guisong Liu; Han Huang 002 (Appl. Soft Comput., 2023)

Blockchain-Based Computing Resource Trading in Autonomous Multi-Access Edge Network Slicing: A Dueling Double Deep Q-Learning Approach. - Thomas Kwantwi; Guolin Sun; Noble Arden Elorm Kuadey; Gerald Tietaa Maale; Guisong Liu (IEEE Trans. Netw. Serv. Manag., 2023)

DeepFESL: Deep Federated Echo State Learning-Based Proactive Content Caching in UAV-Assisted Networks. - Gerald Tietaa Maale; Guolin Sun; Noble Arden Elorm Kuadey; Thomas Kwantwi; Ruijie Ou; Guisong Liu (IEEE Trans. Veh. Technol., 2023)

Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach. - Gordon Owusu Boateng; Guolin Sun; Daniel Ayepah-Mensah; Daniel Mawunyo Doe; Ruijie Ou; Guisong Liu (IEEE Trans. Mob. Comput., 2023)

Active learning in multi-label image classification with graph convolutional network embedding. - Xiurui Xie; Maojun Tian; Guangchun Luo; Guisong Liu; Yizhe Wu; Ke Qin (Future Gener. Comput. Syst., 2023)

Human-Level Control Through Directly Trained Deep Spiking Q-Networks. - Guisong Liu; Wenjie Deng; Xiurui Xie; Li Huang 002; Huajin Tang (IEEE Trans. Cybern., 2023)

Holistic Roadmap of Trends in Radio Access Network Slicing: A Survey. - Guolin Sun; Daniel Ayepah-Mensah; Gordon Owusu Boateng; Noble Arden Elorm Kuadey; Mohamed Basher Omer; Guisong Liu (IEEE Commun. Mag., 2023)

Blood Pressure Estimation Using PPG based on UNet-KAN Neural Network. - Jianhai Cui; Yugeng Zhang; Can Wei; Yaohua Guan; Guisong Liu (ICAICE, 2024)

Federated learning for spiking neural networks by hint-layer knowledge distillation. - Xiurui Xie; Jingxuan Feng; Guisong Liu; Qiugang Zhan; Zhetong Liu; Malu Zhang (Appl. Soft Comput., 2024)

SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning. - Qiugang Zhan; Jinbo Cao; Xiurui Xie; Malu Zhang; Huajin Tang; Guisong Liu (CoRR, 2024)

Enhancing relation extraction using multi-task learning with SDP evidence. - Hailin Wang; Dan Zhang; Guisong Liu; Li Huang 002; Ke Qin (Inf. Sci., 2024)

A two-stage spiking meta-learning method for few-shot classification. - Qiugang Zhan; Bingchao Wang; Anning Jiang; Xiurui Xie; Malu Zhang; Guisong Liu (Knowl. Based Syst., 2024)

Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion. - Li Huang 002; Pei Li; Qiang Gao 003; Guisong Liu; Zhipeng Luo; Tianrui Li 001 (Neural Networks, 2024)

Spiking Transfer Learning From RGB Image to Neuromorphic Event Stream. - Qiugang Zhan; Guisong Liu; Xiurui Xie; Ran Tao; Malu Zhang; Huajin Tang (IEEE Trans. Image Process., 2024)

Blockchain-Enabled Federated Learning-Based Resource Allocation and Trading for Network Slicing in 5G. - Daniel Ayepah-Mensah; Guolin Sun; Gordon Owusu Boateng; Stephen Anokye; Guisong Liu (IEEE/ACM Trans. Netw., 2024)

Competitive Pricing for Resource Trading in Sliced Mobile Networks: A Multi-Agent Reinforcement Learning Approach. - Guolin Sun; Gordon Owusu Boateng; Liyuan Luo; Huan Chen; Daniel Ayepah-Mensah; Guisong Liu (IEEE Trans. Mob. Comput., 2024)

Dynamic Pricing for Vehicle Dispatching in Mobility-as-a-Service Market via Multi-Agent Deep Reinforcement Learning. - Guolin Sun; Gordon Owusu Boateng; Kai Liu; Daniel Ayepah-Mensah; Guisong Liu (IEEE Trans. Veh. Technol., 2024)

Effective Active Learning Method for Spiking Neural Networks. - Xiurui Xie; Bei Yu; Guisong Liu; Qiugang Zhan; Huajin Tang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Event-Driven Spiking Learning Algorithm Using Aggregated Labels. - Xiurui Xie; Yansong Chua; Guisong Liu; Malu Zhang; Guangchun Luo; Huajin Tang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting. - Qiang Gao 003; Zizheng Wang; Li Huang 002; Goce Trajcevski; Guisong Liu; Xueqin Chen 002 (AAAI, 2025)

Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning. - Li Huang 002; Haowen Liu; Qiang Gao 003; Jiajing Yu; Guisong Liu; Xueqin Chen 002 (AAAI, 2025)

Enhancing the Adversarial Robustness via Manifold Projection. - Zhiting Li; Shibai Yin; Tai-Xiang Jiang; Yexun Hu; Jia-Mian Wu; Guowei Yang 001; Guisong Liu (AAAI, 2025)

Flexible Sharpness-Aware Personalized Federated Learning. - Xinda Xing; Qiugang Zhan; Xiurui Xie; Yuning Yang; Qiang Wang; Guisong Liu (AAAI, 2025)

Spectral Low-Rank Attention with Flow-Based Refinement for Spectral Reconstruction. - Yiwen Wang; Zixin Tang; Yexun Hu; Guisong Liu; Tai-Xiang Jiang (ICASSP, 2025)

Birds of a Feather: Enhancing Multimodal Fake News Detection Via Multi-Element Retrieval. - Xueqin Chen 002; Xiaoyu Huang; Qiang Gao 003; Li Huang 002; Jiajing Yu; Guisong Liu (ICDE, 2025)

Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting. - Li Huang 002; Yanzhe Xie; Qiang Gao 003; Kunpeng Zhang 001; Guisong Liu; Xueqin Chen 002 (KDD (1), 2025)

A deep reinforcement active learning method for multi-label image classification. - Qing Cai; Ran Tao; Xiufen Fang; Xiurui Xie; Guisong Liu (Comput. Vis. Image Underst., 2025)

Learning a more compact representation for low-rank tensor completion. - Xi-Zhuo Li; Tai-Xiang Jiang; Liqiao Yang; Guisong Liu (Neurocomputing, 2025)

Multiagent DRL-Based Consensus Mechanism for Blockchain-Based Collaborative Computing in UAV-Assisted 6G Networks. - Hayla Nahom Abishu; Guolin Sun; Yasin Habtamu Yacob; Gordon Owusu Boateng; Daniel Ayepah-Mensah; Guisong Liu (IEEE Internet Things J., 2025)

Enhancing text-centric fake news detection via external knowledge distillation from LLMs. - Xueqin Chen 002; Xiaoyu Huang; Qiang Gao 003; Li Huang 002; Guisong Liu (Neural Networks, 2025)

FeDistSlice: Federated Policy Distillation for Collaborative Intelligence in Multi-Tenant RAN Slicing. - Guolin Sun; Daniel Ayepah-Mensah; Huan Chen; Gordon Owusu Boateng; Guisong Liu (IEEE Trans. Serv. Comput., 2025)

Enhancing Transparent Object Matting Using Predicted Definite Foreground and Background. - Yihui Liang; Qian Fu; Kun Zou; Guisong Liu; Han Huang 002 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Relational Stock Selection via Probabilistic State Space Learning. - Qiang Gao 003; Zhengxiang Liu; Li Huang 002; Kunpeng Zhang 001; Jun Wang 089; Guisong Liu (IEEE Trans. Knowl. Data Eng., 2025)

Federated Policy Distillation for Digital Twin-Enabled Intelligent Resource Trading in 5G Network Slicing. - Daniel Ayepah-Mensah; Guolin Sun; Gordon Owusu Boateng; Guisong Liu (IEEE Trans. Netw. Serv. Manag., 2025)

Multi-Task Learning for UAV Trajectory and Caching With Federated Cloud-Assisted Knowledge Distillation. - Gerald Tietaa Maale; Noble Arden Elorm Kuadey; Yeasin Arafat; Thomas Kwantwi; Guolin Sun; Guisong Liu (IEEE Trans. Netw. Serv. Manag., 2025)

AI-Native Collaborative Content Sharing in Blockchain-Empowered UAV-Assisted D2D Networks. - Yasin Habtamu Yacob; Guolin Sun; Hayla Nahom Abishu; Daniel Ayepah-Mensah; Mohamed Basher Omer; Guisong Liu (IEEE Internet Things J., 2025)