Hancheng Ye

Orcid: 0000-0002-6272-2792

According to our database¹, Hancheng Ye authored at least 36 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

FlashSVD v1.5: Making Low-Rank Transformers Inference Actually Fast.

[BibT_eX]

[DOI]

CoRR, May, 2026

MARS: Efficient, Adaptive Co-Scheduling for Heterogeneous Agentic Systems.

[BibT_eX]

[DOI]

CoRR, April, 2026

FlashFPS: Efficient Farthest Point Sampling for Large-Scale Point Clouds via Pruning and Caching.

[BibT_eX]

[DOI]

CoRR, April, 2026

ZEUS: Accelerating Diffusion Models with Only Second-Order Predictor.

[BibT_eX]

[DOI]

CoRR, April, 2026

T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning.

[BibT_eX]

[DOI]

CoRR, March, 2026

PrivAct: Internalizing Contextual Privacy Preservation via Multi-Agent Preference Training.

[BibT_eX]

[DOI]

CoRR, February, 2026

FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SPOT: Scalable 3D Pre-Training via Occupancy Prediction for Learning Transferable 3D Representations.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems.

[BibT_eX]

[DOI]

CoRR, October, 2025

Model Reprogramming Demystified: A Neural Tangent Kernel Perspective.

[BibT_eX]

[DOI]

CoRR, June, 2025

BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-Task Dense Predictions.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

HippoMM: Hippocampal-inspired Multimodal Memory for Long Audiovisual Event Understanding.

[BibT_eX]

[DOI]

CoRR, April, 2025

Efficient Architecture Search via Bi-Level Data Pruning.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., February, 2025

ChartX and ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2025

IoT-MCP: Bridging LLMs and IoT Systems Through Model Context Protocol.

[BibT_eX]

[DOI]

Proceedings of the ACM Workshop on Wireless Network Testbeds, 2025

Angles Don't Lie: Unlocking Training‑Efficient RL Through the Model's Own Signals.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models.

[BibT_eX]

[DOI]

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

SADA: Stability-guided Adaptive Diffusion Acceleration.

[BibT_eX]

[DOI]

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

GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Revisiting 3D visual grounding with Context-aware Feature Aggregation.

[BibT_eX]

[DOI]

Neurocomputing, 2024

CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation.

[BibT_eX]

[DOI]

CoRR, 2024

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CSD3D: Cross-Scale Distillation via Dual-Consistency Learning for Semi-Supervised 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Enhanced Sparsification via Stimulative Training.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Automatic Loss Function Search for Adversarial Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., October, 2023

Performance-Aware Approximation of Global Channel Pruning for Multitask CNNs.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Exploring Kernel-Based Texture Transfer for Pose-Guided Person Image Generation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Rethinking of Feature Interaction for Multi-task Learning on Dense Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Sample-Centric Feature Generation for Semi-Supervised Few-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

3DVAR Aerosol Data Assimilation and Evaluation Using Surface PM2.5, Himawari-8 AOD and CALIPSO Profile Observations in the North China.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2022

Hancheng Ye

Timeline

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On csauthors.net:

Bibliography

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