Pingcheng Dong

Orcid: 0000-0003-3975-286X

According to our database1, Pingcheng Dong authored at least 25 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Exploiting the Memory-Compute-Coupling Feature for CIM Accelerator Design Optimization.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2025

Token Merging via Spatiotemporal Information Mining for Surgical Video Understanding.
CoRR, September, 2025

SR-LIO++: Efficient LiDAR-Inertial Odometry and Quantized Mapping with Sweep Reconstruction.
CoRR, March, 2025

Min-Pooling Cost Aggregation for Semi-Global Matching of Stereo Vision Processor.
IEEE Trans. Circuits Syst. II Express Briefs, January, 2025

A 28nm 0.22μJ/Token Memory-Compute-Intensity-Aware CNN-Transformer Accelerator with Hybrid-Attention-Based Layer-Fusion and Cascaded Pruning for Semantic-Segmentation.
Proceedings of the IEEE International Solid-State Circuits Conference, 2025

Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object Detection.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Memory Efficient Transformer Adapter for Dense Predictions.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

APSQ: Additive Partial Sum Quantization with Algorithm-Hardware Co-Design.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

E-NPU: A 34~126nJ/Class Event-Driven Adaptive Neural SoC with Signal-Dynamics-Aware Feature Clustering and Multi-Model In-Memory Inference/Training for Personalized Medical Wearables.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2025

2024
Stereo Matching Accelerator With Re-Computation Scheme and Data-Reused Pipeline for Autonomous Vehicles.
IEEE Trans. Circuits Syst. I Regul. Pap., June, 2024

Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision.
Trans. Mach. Learn. Res., 2024

Boundary and Relation Distillation for Semantic Segmentation.
CoRR, 2024

Live Demonstration: A 1920×1080 129fps 4.3pJ/pixel Stereo-Matching Processor for Low-power Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

High-resolution Stereo-vision Depth Processor with Min-pooling Method.
Proceedings of the IEEE International Conference on Integrated Circuits, 2024

Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
A 1920×1080 129fps 4.3pJ/pixel Stereo-Matching Processor for Pico Aerial Vehicles.
Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

LLM-FP4: 4-Bit Floating-Point Quantized Transformers.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
A Compact Hardware Architecture for Bilateral Filter With the Combination of Approximate Computing and Look-Up Table.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Configurable Image Rectification and Disparity Refinement for Stereo Vision.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

A 4.29nJ/pixel Stereo Depth Coprocessor With Pixel Level Pipeline and Region Optimized Semi-Global Matching for IoT Application.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Post-Processing Refinement for Semi-Global Matching Algorithm Based on Real-Time FPGA.
Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

Subpixel Interpolation Disparity Refinement for Semi-Global Matching.
Proceedings of the IEEE Asia Pacific Conference on Circuit and Systems, 2022

2021
Real-Time FPGA-Based Binocular Stereo Vision System with Semi-Global Matching Algorithm.
Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

A 139 fps pixel-level pipelined binocular stereo vision accelerator with region-optimized semi-global matching.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2021

2020
Robot navigation based on pseudo-binocular stereo vision and linear fitting.
Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020


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