Xiangxiang Chu

Orcid: 0000-0003-2548-0605

According to our database¹, Xiangxiang Chu authored at least 66 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2024

AODet: Aerial Object Detection Using Transformers for Foreground Regions.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Prioritize Denoising Steps on Diffusion Model Preference Alignment via Explicit Denoised Distribution Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

MMGenBench: Evaluating the Limits of LMMs from the Text-to-Image Generation Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

DreamCouple: Exploring High Quality Text-to-3D Generation Via Rectified Flow.

[BibT_eX]

[DOI]

Hangyu Li

Xiangxiang Chu

Dingyuan Shi

CoRR, 2024

PLUG: Revisiting Amodal Segmentation with Foundation Model and Hierarchical Focus.

[BibT_eX]

[DOI]

CoRR, 2024

AdaFedFR: Federated Face Recognition with Adaptive Inter-Class Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

LogicalDefender: Discovering, Extracting, and Utilizing Common-Sense Knowledge.

[BibT_eX]

[DOI]

CoRR, 2024

VisionLLaMA: A Unified LLaMA Interface for Vision Tasks.

[BibT_eX]

[DOI]

CoRR, 2024

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness.

[BibT_eX]

[DOI]

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

LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

PeLK: Parameter-Efficient Large Kernel ConvNets with Peripheral Convolution.

[BibT_eX]

[DOI]

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

SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation.

[BibT_eX]

[DOI]

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

Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models.

[BibT_eX]

[DOI]

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

Make RepVGG Greater Again: A Quantization-Aware Approach.

[BibT_eX]

[DOI]

Xiangxiang Chu

Liang Li

Bo Zhang

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

2023

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices.

[BibT_eX]

[DOI]

CoRR, 2023

Lenna: Language Enhanced Reasoning Detection Assistant.

[BibT_eX]

[DOI]

CoRR, 2023

RobustCalib: Robust Lidar-Camera Extrinsic Calibration with Consistency Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Masked Autoencoders Are Robust Neural Architecture Search Learners.

[BibT_eX]

[DOI]

Yiming Hu

Xiangxiang Chu

Bo Zhang

CoRR, 2023

A Speed Odyssey for Deployable Quantization of LLMs.

[BibT_eX]

[DOI]

CoRR, 2023

FPTQ: Fine-grained Post-Training Quantization for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

FastPillars: A Deployment-friendly Pillar-based 3D Detector.

[BibT_eX]

[DOI]

CoRR, 2023

EfficientRep: An Efficient Repvgg-style ConvNets with Hardware-aware Neural Network Design.

[BibT_eX]

[DOI]

CoRR, 2023

YOLOv6 v3.0: A Full-Scale Reloading.

[BibT_eX]

[DOI]

CoRR, 2023

Conditional Positional Encodings for Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation.

[BibT_eX]

[DOI]

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

MixPath: A Unified Approach for One-shot Neural Architecture Search.

[BibT_eX]

[DOI]

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

AeDet: Azimuth-Invariant Multi-View 3D Object Detection.

[BibT_eX]

[DOI]

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

2022

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.

[BibT_eX]

[DOI]

CoRR, 2022

PromptDet: Expand Your Detector Vocabulary with Uncurated Images.

[BibT_eX]

[DOI]

CoRR, 2022

Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images.

[BibT_eX]

[DOI]

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

SegViT: Semantic Segmentation with Plain Vision Transformers.

[BibT_eX]

[DOI]

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

PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation.

[BibT_eX]

[DOI]

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

EAPruning: Evolutionary Pruning for Vision Transformers and CNNs.

[BibT_eX]

[DOI]

Qingyuan Li

Bo Zhang

Xiangxiang Chu

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

A Unified Mixture-View Framework for Unsupervised Representation Learning.

[BibT_eX]

[DOI]

Xiangxiang Chu

Xiaohang Zhan

Bo Zhang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

DAAS: Differentiable Architecture and Augmentation Policy Search.

[BibT_eX]

[DOI]

CoRR, 2021

CCTrans: Simplifying and Improving Crowd Counting with Transformer.

[BibT_eX]

[DOI]

Ye Tian

Xiangxiang Chu

Hongpeng Wang

CoRR, 2021

Twins: Revisiting Spatial Attention Design in Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

Do We Really Need Explicit Position Encodings for Vision Transformers?

[BibT_eX]

[DOI]

CoRR, 2021

Twins: Revisiting the Design of Spatial Attention in Vision Transformers.

[BibT_eX]

[DOI]

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

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search.

[BibT_eX]

[DOI]

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

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search.

[BibT_eX]

[DOI]

Xiangxiang Chu

Bo Zhang

Ruijun Xu

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

AutoKWS: Keyword Spotting with Differentiable Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Noisy Differentiable Architecture Search.

[BibT_eX]

[DOI]

Xiangxiang Chu

Bo Zhang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Beyond Single Instance Multi-view Unsupervised Representation Learning.

[BibT_eX]

[DOI]

Xiangxiang Chu

Xiaohang Zhan

Xiaolin Wei

CoRR, 2020

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation.

[BibT_eX]

[DOI]

CoRR, 2020

Noisy Differentiable Architecture Search.

[BibT_eX]

[DOI]

Xiangxiang Chu

Bo Zhang

Xudong Li

CoRR, 2020

MixPath: A Unified Approach for One-shot Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2020

Neural Architecture Search on Acoustic Scene Classification.

[BibT_eX]

[DOI]

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

MoGA: Searching Beyond Mobilenetv3.

[BibT_eX]

[DOI]

Xiangxiang Chu

Bo Zhang

Ruijun Xu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Multi-objective Reinforced Evolution in Mobile Neural Architecture Search.

[BibT_eX]

[DOI]

Xiangxiang Chu

Bo Zhang

Ruijun Xu

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network.

[BibT_eX]

[DOI]

Hailong Ma

Xiangxiang Chu

Bo Zhang

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

2019

ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2019

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2019

A Matrix-in-matrix Neural Network for Image Super Resolution.

[BibT_eX]

[DOI]

CoRR, 2019

Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2019

Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Improved Crowding Distance for NSGA-II.

[BibT_eX]

[DOI]

Xiangxiang Chu

Xinjie Yu

CoRR, 2018

Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization.

[BibT_eX]

[DOI]

Xiangxiang Chu

CoRR, 2018

2017

Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Xiangxiang Chu

Hangjun Ye

CoRR, 2017

Xiangxiang Chu

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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