Dong Li

Orcid: 0000-0001-7369-1445

Affiliations:

AMD Inc., Advanced Micro Devices Inc., Beijing, China
Xilinx Technology Beijing, China
Megvii Inc, Beijing, China
Tsinghua University, Department of Electronic Engineering, Beijing, China (PhD 2017)

According to our database¹, Dong Li authored at least 46 papers between 2015 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

AMD-Hummingbird: Towards an Efficient Text-to-Video Model.

[BibT_eX]

[DOI]

CoRR, March, 2025

Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding.

[BibT_eX]

[DOI]

CoRR, March, 2025

Týr-the-Pruner: Unlocking Accurate 50% Structural Pruning for LLMs via Global Sparsity Distribution Optimization.

[BibT_eX]

[DOI]

CoRR, March, 2025

Partial Convolution Meets Visual Attention.

[BibT_eX]

[DOI]

CoRR, March, 2025

Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE.

[BibT_eX]

[DOI]

CoRR, February, 2025

Edit as You See: Image-guided Video Editing via Masked Motion Modeling.

[BibT_eX]

[DOI]

CoRR, January, 2025

MSWA: Refining Local Attention with Multi-ScaleWindow Attention.

[BibT_eX]

[DOI]

CoRR, January, 2025

Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ReNeg: Learning Negative Embedding with Reward Guidance.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Enhancing One-Shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

EGSRAL: An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

XVDPU: A High-Performance CNN Accelerator on the Versal Platform Powered by the AI Engine.

[BibT_eX]

[DOI]

ACM Trans. Reconfigurable Technol. Syst., June, 2024

FTP: A Fine-grained Token-wise Pruner for Large Language Models via Token Routing.

[BibT_eX]

[DOI]

CoRR, 2024

Fast Occupancy Network.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Scale-Aware Full Surround Monodepth with Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

Amphista: Accelerate LLM Inference with Bi-directional Multiple Drafting Heads in a Non-autoregressive Style.

[BibT_eX]

[DOI]

CoRR, 2024

TernaryLLM: Ternarized Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

LADDER: An Efficient Framework for Video Frame Interpolation.

[BibT_eX]

[DOI]

CoRR, 2024

Sparse Laneformer.

[BibT_eX]

[DOI]

CoRR, 2024

DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

MonoGS++: Fast and Accurate Monocular RGB Gaussian SLAM.

[BibT_eX]

[DOI]

Proceedings of the 35th British Machine Vision Conference, 2024

UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FDViT: Improve the Hierarchical Architecture of Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

HPS-Det: Dynamic Sample Assignment with Hyper-Parameter Search for Object Detection.

[BibT_eX]

[DOI]

CoRR, 2022

A-U3D: A Unified 2D/3D CNN Accelerator on the Versal Platform for Disparity Estimation.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Efficient Image Super-Resolution with Collapsible Linear Blocks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Dynamic Sparse R-CNN.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Cross-Dataset Collaborative Learning for Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Discriminative Representation Learning for Unsupervised Person Re-identification.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improving Low-Precision Network Quantization via Bin Regularization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RankDetNet: Delving Into Ranking Constraints for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Progressive Representation Adaptation for Weakly Supervised Object Localization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

ProgressFace: Scale-Aware Progressive Learning for Face Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Dual Super-Resolution Learning for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

MTNAS: Search Multi-task Networks for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2017

Learning Structured Semantic Embeddings for Visual Recognition.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Unsupervised Visual Representation Learning by Graph-Based Consistent Constraints.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Weakly Supervised Object Localization with Progressive Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Discriminative Middle-Level Parts Mining for Object Detection.

[BibT_eX]

[DOI]

Dong Li

Yali Li

Shengjin Wang

IEICE Trans. Inf. Syst., 2015

Selective parts for fine-grained recognition.

[BibT_eX]

[DOI]

Dong Li

Yali Li

Shengjin Wang

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Dong Li

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