Wu, Lemeng

24 publications

CVPR 2025 EdgeTAM: On-Device Track Anything Model Chong Zhou, Chenchen Zhu, Yunyang Xiong, Saksham Suri, Fanyi Xiao, Lemeng Wu, Raghuraman Krishnamoorthi, Bo Dai, Chen Change Loy, Vikas Chandra, Bilge Soran

ICCV 2025 Efficient Track Anything Yunyang Xiong, Chong Zhou, Xiaoyu Xiang, Lemeng Wu, Chenchen Zhu, Zechun Liu, Saksham Suri, Balakrishnan Varadarajan, Ramya Akula, Forrest Iandola, Raghuraman Krishnamoorthi, Bilge Soran, Vikas Chandra

ICML 2025 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

ICLR 2025 Longhorn: State Space Models Are Amortized Online Learners Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu

CVPR 2025 Steepest Descent Density Control for Compact 3D Gaussian Splatting Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan

NeurIPS 2024 Communication Efficient Distributed Training with Distributed Lion Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu

CVPR 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 Iandola, Raghuraman Krishnamoorthi, Vikas Chandra

AAAI 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

NeurIPS 2024 PrivCirNet: Efficient Private Inference via Block Circulant Transformation Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li

CVPR 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

CVPR 2023 FlowGrad: Controlling the Output of Generative ODEs with Gradients Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu

ICLR 2023 Learning Diffusion Bridges on Constrained Domains Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu

NeurIPSW 2023 Microenvironment Flows as Protein Engineers Chengyue Gong, Lemeng Wu, Daniel Diaz, Xingchao Liu, James Loy, Adam Klivans, Qiang Liu

NeurIPS 2022 Diffusion-Based Molecule Generation with Informative Prior Bridges Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu

NeurIPSW 2022 Diffusion-Based Molecule Generation with Informative Prior Bridges Chengyue Gong, Lemeng Wu, Xingchao Liu, Mao Ye, Qiang Liu

NeurIPS 2022 First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data Mao Ye, Lemeng Wu, Qiang Liu

NeurIPSW 2022 First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data Mao Ye, Lemeng Wu, Qiang Liu

ICML 2022 How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity Chengyue Gong, Lemeng Wu, Qiang Liu

NeurIPSW 2022 Let Us Build Bridges: Understanding and Extending Diffusion Generative Models Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu

NeurIPSW 2022 Neural Volumetric Mesh Generator Yan Zheng, Lemeng Wu, Xingchao Liu, Zhen Chen, Qiang Liu, Qixing Huang

ICLR 2020 Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu

NeurIPS 2020 Firefly Neural Architecture Descent: A General Approach for Growing Neural Networks Lemeng Wu, Bo Liu, Peter Stone, Qiang Liu

NeurIPS 2020 Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets Is Enough Mao Ye, Lemeng Wu, Qiang Liu

NeurIPS 2019 Splitting Steepest Descent for Growing Neural Architectures Lemeng Wu, Dilin Wang, Qiang Liu