Tianchen Zhao

Orcid: 0000-0002-2071-7514

According to our database1, Tianchen Zhao authored at least 38 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
DiTFastAttn: Attention Compression for Diffusion Transformer Models.
CoRR, 2024

Principles of Designing Robust Remote Face Anti-Spoofing Systems.
CoRR, 2024

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation.
CoRR, 2024

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization.
CoRR, 2024

TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Reinforcement Learning for Path Planning in Communication-Limited Environments.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2024

2023
Crack detection of continuous casting slab by evolutionary topology backbone search.
Appl. Soft Comput., October, 2023

A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Meta-variational quantum Monte Carlo.
Quantum Mach. Intell., June, 2023

Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start".
CoRR, 2023

Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start".
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Memory-Oriented Structural Pruning for Efficient Image Restoration.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Exploring the Potential of Low-Bit Training of Convolutional Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

A Hierarchical Heterogeneous Graph for Unsupervised SAR Image Change Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

Unsupervised Multi-Look SAR Image Change Detection Driven by Dual-Layer Graph With Intensity and Texture Attributes.
IEEE Geosci. Remote. Sens. Lett., 2022

Scalable neural quantum states architecture for quantum chemistry.
CoRR, 2022

Quantum-inspired variational algorithms for partial differential equations: Application to financial derivative pricing.
CoRR, 2022

TA-GATES: An Encoding Scheme for Neural Network Architectures.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Natural evolution strategies and variational Monte Carlo.
Mach. Learn. Sci. Technol., 2021

Overcoming barriers to scalability in variational quantum Monte Carlo.
Proceedings of the International Conference for High Performance Computing, 2021

Learning Self-Consistency for Deepfake Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities.
CoRR, 2020

aw_nas: A Modularized and Extensible NAS framework.
CoRR, 2020

Learning to Recognize Patch-Wise Consistency for Deepfake Detection.
CoRR, 2020

BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures.
CoRR, 2020

Meta Variational Monte Carlo.
CoRR, 2020

A Surgery of the Neural Architecture Evaluators.
CoRR, 2020

Towards Lower Bit Multiplication for Convolutional Neural Network Training.
CoRR, 2020

Natural evolution strategies and quantum approximate optimization.
CoRR, 2020

A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS.
Proceedings of the Computer Vision - ECCV 2020, 2020

DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Diversity-Sensitive Conditional Generative Adversarial Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Adversarial Defense via Learning to Generate Diverse Attacks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Information Theoretic Interpretation of Deep learning.
CoRR, 2018


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