Jiacheng Yang
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
A Segment-Interlace Multi-Phase Hybrid Converter With Concurrent Inductor Energizing and Inherent Current Balancing.
IEEE J. Solid State Circuits, June, 2026
Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning.
CoRR, May, 2026
CUE: Concept-Aware Multi-Label Expansion to Mitigate Concept Confusion in Long-Tailed Learning.
CoRR, May, 2026
SECOS: Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning.
CoRR, April, 2026
Annotation-Free Visual Reasoning for High-Resolution Large Multimodal Models via Reinforcement Learning.
CoRR, February, 2026
A Privacy-Preserving Large-Scale Data Marketing System Based on Blockchain and Zero Knowledge Proof for VANETs.
IEEE Trans. Veh. Technol., January, 2026
Phase-Scalable CF-Cross-Connected-Based Hybrid DC-DC Converter With Auto VCF Balancing and Inactive CF Charging.
IEEE J. Solid State Circuits, January, 2026
StreamFusion: Scalable Sequence Parallelism for Distributed Inference of Diffusion Transformers on GPUs.
CoRR, January, 2026
Multi-scale strip-shape kernel convolution based memory and difference attention for industrial anomaly detection.
Inf. Fusion, 2026
Semi-supervised semantic segmentation via multi-level and multi-view perturbation consistency.
Appl. Soft Comput., 2026
A Multi-Phase Hybrid Converter with Q Samplers Enabling Simultaneous IL Auto-Balance and Arbitrary Phase Count.
Proceedings of the IEEE International Solid-State Circuits Conference, 2026
A Buck-Based SIBO Converter with 5mV Load-Independent Vop Ripple and Enhanced Von Ripple Suppression for AMOLED Display.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2026
SwiftFusion: Scalable Sequence Parallelism for Distributed Inference of Diffusion Transformers on GPUs.
Proceedings of the ACM Conference on AI and Agentic Systems, 2026
OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
IEEE J. Solid State Circuits, December, 2025
CoRR, December, 2025
CoRR, September, 2025
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.
CoRR, August, 2025
Neural Comput. Appl., July, 2025
Deep-Learning-Based Texture Enhancement of Low-Resolution Brain T1-Weighted Magnetic Resonance Imaging for Alzheimer's Disease Diagnosis.
IEEE Trans. Consumer Electron., May, 2025
Active Robust Adversarial Reinforcement Learning Under Temporally Coupled Perturbations.
IEEE Trans. Artif. Intell., April, 2025
Static Batching of Irregular Workloads on GPUs: Framework and Application to Efficient MoE Model Inference.
CoRR, January, 2025
IEEE Trans. Instrum. Meas., 2025
Multi-grained teacher-student joint representation learning for surface defect classification.
J. Ind. Inf. Integr., 2025
Fed-GFM-DG: A privacy-preserving framework for fundus image segmentation via generative-based feature generalization and mask-guided aggregation.
Biomed. Signal Process. Control., 2025
AIGL: Adaptive Imbalance-to-Generalization Learning for Robust Multi-Label Retinal Disease Classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025
CF-ViT: Cross-Feature Vision Transformer for Improving Feature Learning on Tiny Datasets.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025
PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures.
Proceedings of the Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2025
ScaleFusion: Scalable Inference of Spatial-Temporal Diffusion Transformers for High-Resolution Long Video Generation.
Proceedings of the Eighth Conference on Machine Learning and Systems, 2025
21.3 A Segmented-Interlacing Multi-Phase Hybrid Converter with Inherently Auto-Balanced ILs and Boosted IL Slew Rate During Load Transients.
Proceedings of the IEEE International Solid-State Circuits Conference, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Strip-Shape Kernel Cross Attention Leveraged PCB Defect Detection in High-Resolution Cases.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025
2024
A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection.
ACM Trans. Knowl. Discov. Data, November, 2024
Verifiable Random Function Schemes Based on SM2 Digital Signature Algorithm and its Applications for Committee Elections.
IEEE Open J. Comput. Soc., 2024
Neural Networks, 2024
IEEE Internet Things J., 2024
CTA-Net: A CNN-Transformer Aggregation Network for Improving Multi-Scale Feature Extraction.
CoRR, 2024
F3A: Fairness-Aware AI-Workloads Allocation Considering Multidimensional User Demands in JointCloud.
Proceedings of the IEEE International Conference on Joint Cloud Computing, 2024
Proceedings of the Nineteenth European Conference on Computer Systems, 2024
A 12V-to-PoL CCC-Based Easy-Scalable Multiple-Phase Hybrid Converter with Auto VCF Balancing and Inactive CF Charging.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Diagnosis of Parkinsonian Syndromes in 18F-FDG PET Images Based on 3D CNN-LSTM-Attention.
Proceedings of the 17th International Congress on Image and Signal Processing, 2024
BOOM: Use your Desktop to Accurately Predict the Performance of Large Deep Neural Networks.
Proceedings of the 2024 International Conference on Parallel Architectures and Compilation Techniques, 2024
2023
A Benchmark Dual-Modality Dental Imaging Dataset and a Novel Cognitively Inspired Pipeline for High-Resolution Dental Point Cloud Synthesis.
Cogn. Comput., November, 2023
Neurocomputing, October, 2023
Towards One Shot & Pick All: 3D-OAS, an end-to-end framework for vision guided top-down parcel bin-picking using 3D-overlapping-aware instance segmentation and GNN.
Robotics Auton. Syst., September, 2023
IEEE ACM Trans. Audio Speech Lang. Process., 2023
2022
Capture and Prediction of Rainfall-Induced Landslide Warning Signals Using an Attention-Based Temporal Convolutional Neural Network and Entropy Weight Methods.
Sensors, 2022
Palpation localization of radial artery based on 3-dimensional convolutional neural networks.
EURASIP J. Image Video Process., 2022
Landslide Risk Prediction Model Using an Attention-Based Temporal Convolutional Network Connected to a Recurrent Neural Network.
IEEE Access, 2022
Real time light-independent slope-failure monitoring using LiDAR and 2D-3D semantic segmentation.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022
Current Sharing Method for Dual-Redundancy PMSM with Fuzzy-based Sliding Mode Control.
Proceedings of the IECON 2022, 2022
Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022
2021
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021
2020
Detection of Citrus Huanglongbing Based on Multi-Input Neural Network Model of UAV Hyperspectral Remote Sensing.
Remote. Sens., 2020
Neurocomputing, 2020
Simulation-Based Optimisation for Urban Environmental Noise Coupled with Auditory and Visual Subjective Evaluation.
Complex., 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Aust. J. Intell. Inf. Process. Syst., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
2018
Proceedings of the 35th International Conference on Machine Learning, 2018
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence.
CoRR, 2017
CollaDroid: Automatic Augmentation of Android Application with Lightweight Interactive Collaboration.
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017
2016
2013
2011
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011
2009
Characterization of Texture Features Between Carcinomatous and Normal Wall Tissue in MR Bladder Imaging.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009