Lemeng Wu

According to our database, Lemeng Wu authored at least 32 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PrivCirNet: Efficient Private Inference via Block Circulant Transformation.

Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li

IACR Cryptol. ePrint Arch., 2024

Efficient Track Anything.

Yunyang Xiong, Chong Zhou, Xiaoyu Xiang, Lemeng Wu, Chenchen Zhu, Zechun Liu, Saksham Suri, Balakrishnan Varadarajan, Ramya Akula, Forrest N. Iandola, Raghuraman Krishnamoorthi, Bilge Soran, Vikas Chandra

CoRR, 2024

Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations.

Igor Fedorov, Kate Plawiak, Lemeng Wu, Tarek Elgamal, Naveen Suda, Eric Smith, Hongyuan Zhan, Jianfeng Chi, Yuriy Hulovatyy, Kimish Patel, Zechun Liu, Changsheng Zhao, Yangyang Shi, Tijmen Blankevoort, Mahesh Pasupuleti, Bilge Soran, Zacharie Delpierre Coudert, Rachad Alao, Raghuraman Krishnamoorthi, Vikas Chandra

CoRR, 2024

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding.

Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra

CoRR, 2024

InverseMeetInsert: Robust Real Image Editing via Geometric Accumulation Inversion in Guided Diffusion Models.

Yan Zheng, Lemeng Wu

CoRR, 2024

Longhorn: State Space Models are Amortized Online Learners.

Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu

CoRR, 2024

Communication Efficient Distributed Training with Distributed Lion.

Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu

CoRR, 2024

Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows.

Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu

CoRR, 2024

LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows.

Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything.

Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra

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

Layer Compression of Deep Networks with Straight Flows.

Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu

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

PathFusion: Path-Consistent Lidar-Camera Deep Feature Fusion.

Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra

Proceedings of the International Conference on 3D Vision, 2024

2023

SqueezeSAM: User friendly mobile interactive segmentation.

Balakrishnan Varadarajan, Bilge Soran, Forrest N. Iandola, Xiaoyu Xiang, Yunyang Xiong, Lemeng Wu, Chenchen Zhu, Raghuraman Krishnamoorthi, Vikas Chandra

CoRR, 2023

AutoML-GPT: Automatic Machine Learning with GPT.

Shujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, Mingyuan Zhou

CoRR, 2023

Learning Diffusion Bridges on Constrained Domains.

Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fast Point Cloud Generation with Straight Flows.

Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu

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

FlowGrad: Controlling the Output of Generative ODEs with Gradients.

Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu

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

2022

Neural Volumetric Mesh Generator.

Yan Zheng, Lemeng Wu, Xingchao Liu, Zhen Chen, Qiang Liu, Qixing Huang

CoRR, 2022

First Hitting Diffusion Models.

Mao Ye, Lemeng Wu, Qiang Liu

CoRR, 2022

Let us Build Bridges: Understanding and Extending Diffusion Generative Models.

Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu

CoRR, 2022

Residual Mixture of Experts.

Lemeng Wu, Mengchen Liu, Yinpeng Chen, Dongdong Chen, Xiyang Dai, Lu Yuan

CoRR, 2022

First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data.

Mao Ye, Lemeng Wu, Qiang Liu

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

Diffusion-based Molecule Generation with Informative Prior Bridges.

Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu

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

How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity.

Chengyue Gong, Lemeng Wu, Qiang Liu

Proceedings of the International Conference on Machine Learning, 2022

2021

FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization.

Xingchao Liu, Chengyue Gong, Lemeng Wu, Shujian Zhang, Hao Su, Qiang Liu

CoRR, 2021

Centroid Transformers: Learning to Abstract with Attention.

Lemeng Wu, Xingchao Liu, Qiang Liu

CoRR, 2021

2020

Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting.

Lemeng Wu, Mao Ye, Qi Lei, Jason D. Lee, Qiang Liu

CoRR, 2020

Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough.

Mao Ye, Lemeng Wu, Qiang Liu

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

Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks.

Lemeng Wu, Bo Liu, Peter Stone, Qiang Liu

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

2019

Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent.

Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu

CoRR, 2019

Splitting Steepest Descent for Growing Neural Architectures.

Lemeng Wu, Dilin Wang, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Path-Invariant Map Networks.

Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou, Qixing Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019