Lemeng Wu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Diffusion Model

Language Generation

Deformable Mesh

Top Venues

Publications

Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu
Communication Efficient Distributed Training with Distributed Lion. CoRR (2024)
Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu
Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows. CoRR (2024)
Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra
PathFusion: Path-Consistent Lidar-Camera Deep Feature Fusion. 3DV (2024)
Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu
Longhorn: State Space Models are Amortized Online Learners. CoRR (2024)
Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li
PrivCirNet: Efficient Private Inference via Block Circulant Transformation. CoRR (2024)
Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu
LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows. NAACL-HLT (2024)
Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu
Layer Compression of Deep Networks with Straight Flows. AAAI (2024)
Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu
FlowGrad: Controlling the Output of Generative ODEs with Gradients. CVPR (2023)
Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
Fast Point Cloud Generation with Straight Flows. CVPR (2023)
Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
Learning Diffusion Bridges on Constrained Domains. ICLR (2023)
Balakrishnan Varadarajan, Bilge Soran, Forrest N. Iandola, Xiaoyu Xiang, Yunyang Xiong, Lemeng Wu, Chenchen Zhu, Raghuraman Krishnamoorthi, Vikas Chandra
SqueezeSAM: User friendly mobile interactive segmentation. CoRR (2023)
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
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. CoRR (2023)
Shujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, Mingyuan Zhou
AutoML-GPT: Automatic Machine Learning with GPT. CoRR (2023)
Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
Fast Point Cloud Generation with Straight Flows. CoRR (2022)
Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu
Diffusion-based Molecule Generation with Informative Prior Bridges. CoRR (2022)
Chengyue Gong, Lemeng Wu, Qiang Liu
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity. CoRR (2022)
Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu
Diffusion-based Molecule Generation with Informative Prior Bridges. NeurIPS (2022)
Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
Let us Build Bridges: Understanding and Extending Diffusion Generative Models. CoRR (2022)
Yan Zheng, Lemeng Wu, Xingchao Liu, Zhen Chen, Qiang Liu, Qixing Huang
Neural Volumetric Mesh Generator. CoRR (2022)
Mao Ye, Lemeng Wu, Qiang Liu
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data. NeurIPS (2022)
Lemeng Wu, Mengchen Liu, Yinpeng Chen, Dongdong Chen, Xiyang Dai, Lu Yuan
Residual Mixture of Experts. CoRR (2022)
Mao Ye, Lemeng Wu, Qiang Liu
First Hitting Diffusion Models. CoRR (2022)
Chengyue Gong, Lemeng Wu, Qiang Liu
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity. ICML (2022)
Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra
PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion. CoRR (2022)
Xingchao Liu, Chengyue Gong, Lemeng Wu, Shujian Zhang, Hao Su, Qiang Liu
FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization. CoRR (2021)
Lemeng Wu, Xingchao Liu, Qiang Liu
Centroid Transformers: Learning to Abstract with Attention. CoRR (2021)
Lemeng Wu, Bo Liu, Peter Stone, Qiang Liu
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks. CoRR (2021)
Lemeng Wu, Bo Liu, Peter Stone, Qiang Liu
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks. NeurIPS (2020)
Mao Ye, Lemeng Wu, Qiang Liu
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough. CoRR (2020)
Lemeng Wu, Mao Ye, Qi Lei, Jason D. Lee, Qiang Liu
Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting. CoRR (2020)
Mao Ye, Lemeng Wu, Qiang Liu
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough. NeurIPS (2020)
Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou, Qixing Huang
Path-Invariant Map Networks. CVPR (2019)
Qiang Liu, Lemeng Wu, Dilin Wang
Splitting Steepest Descent for Growing Neural Architectures. CoRR (2019)
Lemeng Wu, Dilin Wang, Qiang Liu
Splitting Steepest Descent for Growing Neural Architectures. NeurIPS (2019)
Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent. CoRR (2019)
Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou, Qixing Huang
Path-Invariant Map Networks. CoRR (2018)