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

DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models.

[BibT_eX]

[DOI]

Wei He

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

QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation.

[BibT_eX]

[DOI]

Yehui Tang

Mabiao Long

Junchi Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CBQ: Cross-Block Quantization for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TinySAM: Pushing the Envelope for Efficient Segment Anything Model.

[BibT_eX]

[DOI]

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

Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts.

[BibT_eX]

[DOI]

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

2024

Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

Free Video-LLM: Prompt-guided Visual Perception for Efficient Training-free Video LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Granularity Semantic Revision for Large Language Model Distillation.

[BibT_eX]

[DOI]

CoRR, 2024

No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting.

[BibT_eX]

[DOI]

CoRR, 2024

GhostNetV3: Exploring the Training Strategies for Compact Models.

[BibT_eX]

[DOI]

CoRR, 2024

DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Transformer Compression.

[BibT_eX]

[DOI]

CoRR, 2024

Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning.

[BibT_eX]

[DOI]

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

Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting.

[BibT_eX]

[DOI]

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

MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers.

[BibT_eX]

[DOI]

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

SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification.

[BibT_eX]

[DOI]

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

Rethinking Optimization and Architecture for Tiny Language Models.

[BibT_eX]

[DOI]

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

ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking.

[BibT_eX]

[DOI]

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

Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning.

[BibT_eX]

[DOI]

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

Data-efficient Large Vision Models through Sequential Autoregression.

[BibT_eX]

[DOI]

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

SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization.

[BibT_eX]

[DOI]

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

Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Visual Prompting via Partial Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Token Compensator: Altering Inference Cost of Vision Transformer Without Re-tuning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning.

[BibT_eX]

[DOI]

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

2023

A Survey on Vision Transformer.

[BibT_eX]

[DOI]

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

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation.

[BibT_eX]

[DOI]

CoRR, 2023

LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks?

[BibT_eX]

[DOI]

CoRR, 2023

One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Masked Image Modeling with Local Multi-Scale Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Network Expansion For Practical Training Acceleration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Recent progress and perspectives on quantum computing for finance.

[BibT_eX]

[DOI]

Serv. Oriented Comput. Appl., 2022

FastMIM: Expediting Masked Image Modeling Pre-training for Vision.

[BibT_eX]

[DOI]

CoRR, 2022

From Quantum Graph Computing to Quantum Graph Learning: A Survey.

[BibT_eX]

[DOI]

Yehui Tang

Junchi Yan

Edwin R. Hancock

CoRR, 2022

PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture.

[BibT_eX]

[DOI]

CoRR, 2022

GraphQNTK: Quantum Neural Tangent Kernel for Graph Data.

[BibT_eX]

[DOI]

Yehui Tang

Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GhostNetV2: Enhance Cheap Operation with Long-Range Attention.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Vision GNN: An Image is Worth Graph of Nodes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach.

[BibT_eX]

[DOI]

Ge Yan

Yehui Tang

Junchi Yan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Spatial-Channel Token Distillation for Vision MLPs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

An Image Patch is a Wave: Phase-Aware Vision MLP.

[BibT_eX]

[DOI]

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

Patch Slimming for Efficient Vision Transformers.

[BibT_eX]

[DOI]

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

Hire-MLP: Vision MLP via Hierarchical Rearrangement.

[BibT_eX]

[DOI]

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

CMT: Convolutional Neural Networks Meet Vision Transformers.

[BibT_eX]

[DOI]

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

Source-Free Domain Adaptation via Distribution Estimation.

[BibT_eX]

[DOI]

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

2021

CMT: Convolutional Neural Networks Meet Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

Efficient Vision Transformers via Fine-Grained Manifold Distillation.

[BibT_eX]

[DOI]

CoRR, 2021

Visual Transformer Pruning.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Frequency Domain Approximation for Binary Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Augmented Shortcuts for Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Homogeneous Architecture Augmentation for Neural Predictor.

[BibT_eX]

[DOI]

Yuqiao Liu

Yehui Tang

Yanan Sun

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

ReNAS: Relativistic Evaluation of Neural Architecture Search.

[BibT_eX]

[DOI]

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

Manifold Regularized Dynamic Network Pruning.

[BibT_eX]

[DOI]

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

2020

A Survey on Visual Transformer.

[BibT_eX]

[DOI]

CoRR, 2020

SCOP: Scientific Control for Reliable Neural Network Pruning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Semi-Supervised Assessor of Neural Architectures.

[BibT_eX]

[DOI]

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

Neuromorphic Camera Guided High Dynamic Range Imaging.

[BibT_eX]

[DOI]

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

Frequency Domain Compact 3D Convolutional Neural Networks.

[BibT_eX]

[DOI]

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

Reborn Filters: Pruning Convolutional Neural Networks with Limited Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

RNAS: Architecture Ranking for Powerful Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Bringing Giant Neural Networks Down to Earth with Unlabeled Data.

[BibT_eX]

[DOI]

CoRR, 2019

Yehui Tang

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