Juncheng Liu

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 48

Top Topics

Manifold Learning

Manifold Regularization

Novelty Detection

Top Venues

SIGGRAPH Asia Technical Briefs

Multim. Tools Appl.

Publications

Yuchen Zhong, Guangming Sheng, Juncheng Liu, Jinhui Yuan, Chuan Wu
Swift: Expedited Failure Recovery for Large-Scale DNN Training. IEEE Trans. Parallel Distributed Syst. 35 (9) (2024)
Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. CoRR (2024)
Juncheng Liu, Brendan McCane, Steven Mills
Learning to explore by reinforcement over high-level options. Mach. Vis. Appl. 35 (1) (2024)
Juncheng Liu, Yizhi Zhang, Hongyi Dou, Benson Kunhung Tsai, Abhijeet Choudhury, Haiyan Wang
Self-Assembled TiN-Metal Nanocomposites Integrated on Flexible Mica Substrates towards Flexible Devices. Sensors 24 (15) (2024)
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao
Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR (2024)
Juncheng Liu, Yili Zhao
Improved generalization performance of convolutional neural networks with LossDA. Appl. Intell. 53 (11) (2023)
Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu
PANE: scalable and effective attributed network embedding. VLDB J. 32 (6) (2023)
Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao
Node-wise Diffusion for Scalable Graph Learning. CoRR (2023)
Yuxiang Zhang, Dehua Liu, Chuanpeng Su, Juncheng Liu
Location First Non-Maximum Suppression for Uncovered Muck Truck Detection. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106 (6) (2023)
Lichen Pan, Juncheng Liu, Jinhui Yuan, Rongkai Zhang, Pengze Li, Zhen Xiao
OCCL: a Deadlock-free Library for GPU Collective Communication. CoRR (2023)
Yuchen Zhong, Guangming Sheng, Juncheng Liu, Jinhui Yuan, Chuan Wu
Swift: Expedited Failure Recovery for Large-Scale DNN Training. PPoPP (2023)
Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao
Node-wise Diffusion for Scalable Graph Learning. WWW (2023)
Yuchen Zhong, Guangming Sheng, Juncheng Liu, Jinhui Yuan, Chuan Wu
SWIFT: Expedited Failure Recovery for Large-scale DNN Training. CoRR (2023)
Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. NAACL-HLT (2022)
Ti Hu, Jianghao Guo, Tao Zhang, Juncheng Liu, Xuezhang Sun, Zhaohe Chang
Analysis of the Development Trend of Artificial Intelligence Technology Application in the Field of Sports-Based on Patent Measurement. HCI (22) (2022)
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. NeurIPS (2022)
Wenming Wang, Kaixiang Zhang, Haopan Ren, Dejian Wei, Yanyan Gao, Juncheng Liu
UULPN: An ultra-lightweight network for human pose estimation based on unbiased data processing. Neurocomputing 480 (2022)
Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification. ECML/PKDD (1) (2022)
Juncheng Liu, Steven Mills, Brendan McCane
RocNet: Recursive octree network for efficient 3D processing. Comput. Vis. Image Underst. 224 (2022)
Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen
Dangling-Aware Entity Alignment with Mixed High-Order Proximities. CoRR (2022)
Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. CoRR (2022)
Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen
Dangling-Aware Entity Alignment with Mixed High-Order Proximities. NAACL-HLT (Findings) (2022)
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. CoRR (2022)
Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
EIGNN: Efficient Infinite-Depth Graph Neural Networks. CoRR (2022)
Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi
A Fusion-Denoising Attack on InstaHide with Data Augmentation. AAAI (2022)
Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu
No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server. SIGMOD Rec. 51 (1) (2022)
Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi
A Fusion-Denoising Attack on InstaHide with Data Augmentation. CoRR (2021)
Juncheng Liu, Brendan McCane, Steven Mills
Learning to Explore by Reinforcement over High-Level Options. CoRR (2021)
Jinhui Yuan, Xinqi Li, Cheng Cheng, Juncheng Liu, Ran Guo, Shenghang Cai, Chi Yao, Fei Yang, Xiaodong Yi, Chuan Wu, Haoran Zhang, Jie Zhao
OneFlow: Redesign the Distributed Deep Learning Framework from Scratch. CoRR (2021)
Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
EIGNN: Efficient Infinite-Depth Graph Neural Networks. NeurIPS (2021)
Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick
Scaling Attributed Network Embedding to Massive Graphs. CoRR (2020)
Yulu Fan, Jinchun Kou, Juncheng Liu
Research on the Influencing Factors of Customer Loyalty in Offline Supermarket under New Retail Model. ICMSS (2020)
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi
NodeAug: Semi-Supervised Node Classification with Data Augmentation. KDD (2020)
Juncheng Liu, Steven Mills, Brendan McCane
RocNet: Recursive Octree Network for Efficient 3D Deep Representation. 3DV (2020)
Juncheng Liu, Zhouhui Lian, Jianguo Xiao
Sketch based modeling and editing via shape space exploration. Multim. Tools Appl. 79 (25-26) (2020)
Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick
Scaling Attributed Network Embedding to Massive Graphs. Proc. VLDB Endow. 14 (1) (2020)
Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao
Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes. CoRR (2020)
Juncheng Liu, Steven Mills, Brendan McCane
RocNet: Recursive Octree Network for Efficient 3D Deep Representation. CoRR (2020)
Juncheng Liu, Steven Mills, Brendan McCane
Variational Autoencoder for 3D Voxel Compression. IVCNZ (2020)
Alexandra Bonnici, Alican Akman, Gabriel Calleja, Kenneth P. Camilleri, Patrick Fehling, Alfredo Ferreira, Florian Hermuth, Johann Habakuk Israel, Tom Landwehr, Juncheng Liu, Natasha M. J. Padfield, T. Metin Sezgin, Paul L. Rosin
Sketch-based interaction and modeling: where do we stand? Artif. Intell. Eng. Des. Anal. Manuf. 33 (4) (2019)
Juncheng Liu, Paul L. Rosin, Xianfang Sun, Jianguo Xiao, Zhouhui Lian
Image-driven unsupervised 3D model co-segmentation. Vis. Comput. 35 (6-8) (2019)
Qi Wu, Kui Li, Juncheng Liu
The Asynchronous Gimbal-Rotation-Based Calibration Method for Lever-Arm Errors of Two Rotational Inertial Navigation Systems. IEEE Access 7 (2019)
Dan Wang, Ju Ren, Chugui Xu, Juncheng Liu, Zhibo Wang, Yaoxue Zhang, Xuemin Shen
PrivStream: Enabling Privacy-Preserving Inferences on IoT Data Stream at the Edge. HPCC/SmartCity/DSS (2019)
David Pickup, Juncheng Liu, Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Zhi-Quan Cheng, Zhouhui Lian, Sipin Nie, Longcun Jin, Gil Shamai, Yusuf Sahillioglu, Ladislav Kavan
An evaluation of canonical forms for non-rigid 3D shape retrieval. Graph. Model. 97 (2018)
Zhile Jiang, Shuai Yu, Qiang Qu, Min Yang, Junyu Luo, Juncheng Liu
Multi-task Learning for Author Profiling with Hierarchical Features. WWW (Companion Volume) (2018)
Juncheng Liu, Zhouhui Lian, Yi Wang, Jianguo Xiao
Incremental Kernel Null Space Discriminant Analysis for Novelty Detection. CVPR (2017)
Juncheng Liu, Zhouhui Lian, Jianguo Xiao
3D Mesh Unfolding via Semidefinite Programming. 3DOR@Eurographics (2017)
Juncheng Liu, Zhouhui Lian, Jianguo Xiao
Auto-colorization of 3D models from images. SIGGRAPH Asia Technical Briefs (2017)
Yi Wang, Juncheng Liu, Xin Fan, Xiangjian He, Qi Jia, Renjie Gao
Online gesture-based interaction with visual oriental characters based on manifold learning. Signal Process. 110 (2015)
Juncheng Liu, Zhouhui Lian, Jie Feng, Bingfeng Zhou
Sketch based modeling via manifold regularization. SIGGRAPH Asia Technical Briefs (2015)
Yi Wang, Zhongxuan Luo, Juncheng Liu, Xin Fan, Haojie Li, Yunzhen Wu
Real-time estimation of hand gestures based on manifold learning from monocular videos. Multim. Tools Appl. 71 (2) (2014)
Miaoxin Wang, Jizhen Liu, Juncheng Liu
Delay-dependent robust H∞ control of nonlinear uncertain time-delay systems. ICCA (2010)
Zameer Shervani, Yutaka Ikushima, Juncheng Liu
Development of Green and Clean? Reaction Media for Inorganic and Organic Nanomaterials. ICMENS (2004)