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Siyuan Li

Efficient Hierarchical Exploration with Stable Subgoal Representation Learning


May 31, 2021
Siyuan Li, Jin Zhang, Jianhao Wang, Chongjie Zhang

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Unsupervised Deep Manifold Attributed Graph Embedding


Apr 27, 2021
Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li

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* arXiv admin note: text overlap with arXiv:2007.01594 by other authors 
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AutoMix: Unveiling the Power of Mixup


Mar 24, 2021
Zicheng Liu, Siyuan Li, Di Wu, Zhiyuan Chen, Lirong Wu, Jianzhu Guo, Stan Z. Li

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* The first version of AutoMix. 13 pages, 11 figures 
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Invertible Manifold Learning for Dimension Reduction


Oct 07, 2020
Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li

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* 18 pages. We propose a novel invertible dimension reduction process for manifold learning with a neural network implementation, and explore the inherent difficulty of manifold learning in real-world secnarios by the way 
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Deep Clustering and Representation Learning that Preserves Geometric Structures


Sep 29, 2020
Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan. Z Li

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* 20 pages 
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Deep Clustering and Representation Learning with Geometric Structure Preservation


Sep 21, 2020
Lirong Wu, Zicheng Liu, Jun Xia, Siyuan Li, Stan. Z Li

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* 20 pages 
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Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals


Jan 23, 2020
Siyuan Li, Semih Günel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin

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Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards


Oct 10, 2019
Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang

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* Camera ready version for NeurIPS 2019 
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Single Image Deraining: A Comprehensive Benchmark Analysis


Mar 20, 2019
Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Cesar-Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao

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PFLD: A Practical Facial Landmark Detector


Mar 03, 2019
Xiaojie Guo, Siyuan Li, Jinke Yu, Jiawan Zhang, Jiayi Ma, Lin Ma, Wei Liu, Haibin Ling

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Deep Depth Inference using Binocular and Monocular Cues


Aug 06, 2018
Xinqing Guo, Zhang Chen, Siyuan Li, Yang Yang, Jingyi Yu

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A Learning-based Framework for Hybrid Depth-from-Defocus and Stereo Matching


Aug 06, 2018
Zhang Chen, Xinqing Guo, Siyuan Li, Xuan Cao, Jingyi Yu

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Context-Aware Policy Reuse


Jun 28, 2018
Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang

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* This version is the preprint for the submission of NIPS 2018 
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Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55


Oct 27, 2017
Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M Ramanathan, Gautam Kumar, P Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Haene, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas Funkhouser, Hao Su, Leonidas Guibas

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An Optimal Online Method of Selecting Source Policies for Reinforcement Learning


Sep 24, 2017
Siyuan Li, Chongjie Zhang

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