Research on production planning and scheduling based on improved collaborative optimization. - Song Zheng; Jiaxin Gao; Jian Xu (Concurr. Eng. Res. Appl., 2019)

Accelerated Convergence of Time-Splitting Algorithm for MPC using Cross-Node Consensus. - Maierdanjiang Maihemuti; Shengbo Eben Li; Jie Li 042; Jiaxin Gao; Wenyu Li; Hao Sun; Bo Cheng 003 (IV, 2020)

Research on the Integrated Navigation Technology of SINS with Couple Odometers for Land Vehicles. - Jiaxin Gao; Kui Li; Jiyang Chen (Sensors, 2020)

XML2NN: A Unified Modeling Method Accelerated by Distributed Training with an XML File. - Mingxue Liao; Haoyu Liang; Jiaxin Gao; Pin Lv (ACAI, 2021)

Two-Stage Sector Partition Path Planning Method for Automated Fiber Placement on Complex Surfaces. - Jiaxin Gao; Weiwei Qu; Di Yang; Weidong Zhu; Yinglin Ke (Comput. Aided Des., 2021)

Task allocation for decentralized training in heterogeneous environment. - Yongyue Chao; Mingxue Liao; Jiaxin Gao (CoRR, 2021)

Self-Adaptive Task Allocation for Decentralized Deep Learning in Heterogeneous Environments. - Yongyue Chao; Mingxue Liao; Jiaxin Gao; Guangyao Li (SEKE, 2022)

Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application. - Risheng Liu; Jiaxin Gao; Xuan Liu; Xin Fan 001 (CoRR, 2022)

TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning. - Jiaxin Gao; Wenbo Hu 001; Dongxiao Zhang; Yuntian Chen (CoRR, 2022)

Beyond backpropagate through time: Efficient model-based training through time-splitting. - Jiaxin Gao; Yang Guan; Wenyu Li; Shengbo Eben Li; Fei Ma; Jianfeng Zheng; Junqing Wei; Bo Zhang; Keqiang Li (Int. J. Intell. Syst., 2022)

Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond. - Risheng Liu; Jiaxin Gao; Jin Zhang 002; Deyu Meng; Zhouchen Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Improved-UWB/LiDAR-SLAM Tightly Coupled Positioning System with NLOS Identification Using a LiDAR Point Cloud in GNSS-Denied Environments. - Zhijian Chen; Aigong Xu; Xin Sui; Changqiang Wang; Siyu Wang; Jiaxin Gao; Zhengxu Shi (Remote. Sens., 2022)

N-Compactness of Intuitionistic L-Fuzzy Topological Space. - Jiaxin Gao; Xiaoxia Wang; Qiaoqiao Li (FSDM, 2023)

Generalized Countable Fuzzy Semi-Compactness in L-Topological Spaces. - Qiaoqiao Li; Xiaoxia Wang; Jiaxin Gao (FSDM, 2023)

Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark. - Xiaofeng Liu 001; Jiaxin Gao; Yaohua Liu; Nenggan Zheng; Risheng Liu (ICIG (2), 2023)

PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation. - Xianghao Jiao; Yaohua Liu; Jiaxin Gao; Xinyuan Chu; Xin Fan 001; Risheng Liu (ACM Multimedia, 2023)

NFI2: Learning Noise-Free Illuminance-Interpolator for Unsupervised Low-Light Image Enhancement. - Xiaofeng Liu 001; Jiaxin Gao; Ziyu Yue; Xin Fan 001; Risheng Liu (CoRR, 2023)

Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting. - Jiaxin Gao; Wenbo Hu 001; Yuntian Chen (CoRR, 2023)

Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments. - Jiaxin Gao; Ziyu Yue; Yaohua Liu; Sihan Xie; Xin Fan 001; Risheng Liu (CoRR, 2023)

DSAC-T: Distributional Soft Actor-Critic with Three Refinements. - Jingliang Duan; Wenxuan Wang 004; Liming Xiao; Jiaxin Gao; Shengbo Eben Li (CoRR, 2023)

Learn from the Past: A Proxy based Adversarial Defense Framework to Boost Robustness. - Yaohua Liu; Jiaxin Gao; Zhu Liu 004; Xianghao Jiao; Xin Fan 001; Risheng Liu (CoRR, 2023)

MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts. - Jiaxin Gao; Qinglong Cao; Yuntian Chen (CoRR, 2023)

CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting. - Jiaxin Gao; Yuxiao Hu 003; Qinglong Cao; Siqi Dai; Yuntian Chen (CoRR, 2023)

Learning adaptive hyper-guidance via proxy-based bilevel optimization for image enhancement. - Jiaxin Gao; Xiaokun Liu; Risheng Liu; Xin Fan 001 (Vis. Comput., 2023)

Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement. - Ziyu Yue; Jiaxin Gao; Zhixun Su (AAAI, 2024)

Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation. - Xin Fan 001; Xiaolin Wang; Jiaxin Gao; Jia Wang; Zhongxuan Luo; Risheng Liu (CVPR, 2024)

Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation. - Yaohua Liu; Jiaxin Gao; Xuan Liu; Xianghao Jiao; Xin Fan 001; Risheng Liu (IJCAI, 2024)

Enhancing Images with Coupled Low-Resolution and Ultra-Dark Degradations: A Tri-level Learning Framework. - Jiaxin Gao; Yaohua Liu (ACM Multimedia, 2024)

Why College Students Prefer to Study on Online Video-Sharing Platforms: The Case of Bilibili Platform. - Jing Yang; Tingyu Zhang; Jiaxin Gao; Zheshi Bao; Hongyan Liang; Hangming Zhang (WHICEB (1), 2024)

The impact of the interaction of independent and cooperative innovation on firm digitization: the moderating role of managerial discretion. - Jiaxin Gao; Xin Gu; Xue Yang (Bus. Process. Manag. J., 2024)

LoLiSRFlow: Joint Single Image Low-light Enhancement and Super-resolution via Cross-scale Transformer-based Conditional Flow. - Ziyu Yue; Jiaxin Gao; Sihan Xie; Yang Liu 119; Zhixun Su (CoRR, 2024)

Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning. - Weike Peng; Jiaxin Gao; Yuntian Chen; Shengwei Wang (CoRR, 2024)

Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting. - Jiaxin Gao; Qinglong Cao; Yuntian Chen; Dongxiao Zhang (CoRR, 2024)

Neutralizing Backdoors through Information Conflicts for Large Language Models. - Chen Chen; Yuchen Sun; Xueluan Gong; Jiaxin Gao; Kwok-Yan Lam (CoRR, 2024)

Revisiting PCA for time series reduction in temporal dimension. - Jiaxin Gao; Wenbo Hu; Yuntian Chen (CoRR, 2024)

Breaking the water dilemma: Transmission-guided bilevel adaptive learning for underwater imagery. - Sihan Xie; Peiming Li; Jiaxin Gao; Ziyu Yue; Xin Fan 001; Risheng Liu (Neurocomputing, 2024)

Learning With Constraint Learning: New Perspective, Solution Strategy and Various Applications. - Risheng Liu; Jiaxin Gao; Xuan Liu; Xin Fan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Collaborative brightening and amplification of low-light imagery via bi-level adversarial learning. - Jiaxin Gao; Yaohua Liu; Ziyu Yue; Xin Fan 001; Risheng Liu (Pattern Recognit., 2024)

Uncertainty-Aware Sparse Transformer Network for Single-Image Deraindrop. - Bo Fu 001; Yunyun Jiang; Di Wang 018; Jiaxin Gao; Cong Wang 018; Ximing Li 002 (IEEE Trans. Instrum. Meas., 2024)

LiDAR Dynamic Target Detection Based on Multidimensional Features. - Aigong Xu; Jiaxin Gao; Xin Sui; Changqiang Wang; Zhengxu Shi (Sensors, 2024)

Fast Online Computation of MPC-Based Integrated Decision Control for Autonomous Vehicles. - Shaosong Li; Wenjun Zou; Jiaxin Gao; Yuming Yin; Dongyoon Kim; Sen Yang; Shengbo Eben Li (IEEE Trans. Intell. Veh., 2024)

Auto-Regressive Moving Diffusion Models for Time Series Forecasting. - Jiaxin Gao; Qinglong Cao; Yuntian Chen (AAAI, 2025)

IRIS: Interpretable Retrieval-Augmented Classification for Long Interspersed Document Sequences. - Fengnan Li; Elliot D. Hill; Jiang Shu; Jiaxin Gao; Matthew M. Engelhard (ACL (1), 2025)

Client: Cross-variable linear integrated enhanced transformer for multivariate long-term time series forecasting. - Jiaxin Gao; Wenbo Hu; Dongxiao Zhang; Yuntian Chen (AI Open, 2025)

A Dual-Stream-Modulated Learning Framework for Illuminating and Super-Resolving Ultra-Dark Images. - Jiaxin Gao; Ziyu Yue; Yaohua Liu; Sihan Xie; Xin Fan 001; Risheng Liu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Distributional Soft Actor-Critic With Three Refinements. - Jingliang Duan; Wenxuan Wang 004; Liming Xiao; Jiaxin Gao; Shengbo Eben Li; Chang Liu 002; Ya-Qin Zhang; Bo Cheng 003; Keqiang Li (IEEE Trans. Pattern Anal. Mach. Intell., 2025)