Tian Xia

Orcid: 0000-0002-2520-3731

Affiliations:

Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, China
National Institute of Applied Sciences, Bellignat, France (PhD 2016)

According to our database¹, Tian Xia authored at least 27 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion.

[BibT_eX]

[DOI]

CoRR, April, 2026

IMMSched: Interruptible Multi-DNN Scheduling via Parallel Multi-Particle Optimizing Subgraph Isomorphism.

[BibT_eX]

[DOI]

CoRR, March, 2026

MoEA: A Mixed-Precision Edge Accelerator for CNN-MSA Models with Fine-Tuning Support.

[BibT_eX]

[DOI]

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

PartialNet: Compute Less, Perform Better.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Double Rounding: Nearly Lossless Adaptive Bit Switching for QAT.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

IsoSched: Preemptive Tile Cascaded Scheduling of Multi-DNN via Subgraph Isomorphism.

[BibT_eX]

[DOI]

CoRR, September, 2025

AdapSNE: Adaptive Fireworks-Optimized and Entropy-Guided Dataset Sampling for Edge DNN Training.

[BibT_eX]

[DOI]

CoRR, August, 2025

SparseMap: A Sparse Tensor Accelerator Framework Based on Evolution Strategy.

[BibT_eX]

[DOI]

CoRR, August, 2025

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds.

[BibT_eX]

[DOI]

CoRR, August, 2025

Partial Channel Network: Compute Fewer, Perform Better.

[BibT_eX]

[DOI]

CoRR, February, 2025

Nearly Lossless Adaptive Bit Switching.

[BibT_eX]

[DOI]

CoRR, February, 2025

Magellan: A High-Performance Loop-Guided Prefetcher for Indirect Memory Access.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

2024

Differential-Matching Prefetcher for Indirect Memory Access.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

HIPU: A Hybrid Intelligent Processing Unit With Fine-Grained ISA for Real-Time Deep Neural Network Inference Applications.

[BibT_eX]

[DOI]

IEEE Trans. Very Large Scale Integr. Syst., December, 2023

Optimizing FPGA-Based DNN Accelerator With Shared Exponential Floating-Point Format.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. I Regul. Pap., November, 2023

REMAP: A Spatiotemporal CNN Accelerator Optimization Methodology and Toolkit Thereof.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2023

An Energy-and-Area-Efficient CNN Accelerator for Universal Powers-of-Two Quantization.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. I Regul. Pap., March, 2023

A Comprehensive Performance Model of Sparse Matrix-Vector Multiplication to Guide Kernel Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., February, 2023

TAQ: Top-K Attention-Aware Quantization for Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2023

PrSpMV: An Efficient Predictable Kernel for SpMV.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

2022

MI2D: Accelerating Matrix Inversion with 2-Dimensional Tile Manipulations.

[BibT_eX]

[DOI]

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

2021

PIT: Processing-In-Transmission With Fine-Grained Data Manipulation Networks.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2021

Joint Critics Mechanism: A Universal Framework for Multi-targets Visual Navigation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

CAQ: Context-Aware Quantization via Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

SpV8: Pursuing Optimal Vectorization and Regular Computation Pattern in SpMV.

[BibT_eX]

[DOI]

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Exploring Better Speculation and Data Locality in Sparse Matrix-Vector Multiplication on Intel Xeon.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

COCOA: Content-Oriented Configurable Architecture Based on Highly-Adaptive Data Transmission Networks.

[BibT_eX]

[DOI]

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

Tian Xia

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