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Juncheng Liu
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2020 – today
- 2024
- [j17]Juncheng Liu, Brendan McCane, Steven Mills:
Learning to explore by reinforcement over high-level options. Mach. Vis. Appl. 35(1): 6 (2024) - [j16]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): 4863 (2024) - [j15]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): 1644-1656 (2024) - [c23]Hewen Wang, Bryan Hooi, Dan He, Juncheng Liu, Xiaokui Xiao:
EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs. DASFAA (6) 2024: 321-331 - [c22]Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao:
Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR 2024 - [i14]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 abs/2406.04975 (2024) - 2023
- [j14]Juncheng Liu, Yili Zhao:
Improved generalization performance of convolutional neural networks with LossDA. Appl. Intell. 53(11): 13852-13866 (2023) - [j13]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): 924-931 (2023) - [j12]Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu:
PANE: scalable and effective attributed network embedding. VLDB J. 32(6): 1237-1262 (2023) - [c21]Yuchen Zhong, Guangming Sheng, Juncheng Liu, Jinhui Yuan, Chuan Wu:
Swift: Expedited Failure Recovery for Large-Scale DNN Training. PPoPP 2023: 447-449 - [c20]Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao:
Node-wise Diffusion for Scalable Graph Learning. WWW 2023: 1723-1733 - [i13]Yuchen Zhong, Guangming Sheng, Juncheng Liu, Jinhui Yuan, Chuan Wu:
SWIFT: Expedited Failure Recovery for Large-scale DNN Training. CoRR abs/2302.06173 (2023) - [i12]Lichen Pan, Juncheng Liu, Jinhui Yuan, Rongkai Zhang, Pengze Li, Zhen Xiao:
OCCL: a Deadlock-free Library for GPU Collective Communication. CoRR abs/2303.06324 (2023) - [i11]Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao:
Node-wise Diffusion for Scalable Graph Learning. CoRR abs/2305.14000 (2023) - 2022
- [j11]Juncheng Liu, Steven Mills, Brendan McCane:
RocNet: Recursive octree network for efficient 3D processing. Comput. Vis. Image Underst. 224: 103555 (2022) - [j10]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: 220-233 (2022) - [j9]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): 42-49 (2022) - [c19]Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi:
A Fusion-Denoising Attack on InstaHide with Data Augmentation. AAAI 2022: 1899-1907 - [c18]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: 337-354 - [c17]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: 1172-1184 - [c16]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: 3071-3081 - [c15]Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao:
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. NeurIPS 2022 - [c14]Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao:
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification. ECML/PKDD (1) 2022: 55-70 - [i10]Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao:
EIGNN: Efficient Infinite-Depth Graph Neural Networks. CoRR abs/2202.10720 (2022) - [i9]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 abs/2205.02406 (2022) - [i8]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 abs/2205.03784 (2022) - [i7]Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao:
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. CoRR abs/2210.08353 (2022) - 2021
- [c13]Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao:
EIGNN: Efficient Infinite-Depth Graph Neural Networks. NeurIPS 2021: 18762-18773 - [i6]Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi:
A Fusion-Denoising Attack on InstaHide with Data Augmentation. CoRR abs/2105.07754 (2021) - [i5]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 abs/2110.15032 (2021) - [i4]Juncheng Liu, Brendan McCane, Steven Mills:
Learning to Explore by Reinforcement over High-Level Options. CoRR abs/2111.01364 (2021) - 2020
- [j8]Juncheng Liu, Zhouhui Lian, Jianguo Xiao:
Sketch based modeling and editing via shape space exploration. Multim. Tools Appl. 79(25-26): 18121-18142 (2020) - [j7]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): 37-49 (2020) - [c12]Juncheng Liu, Steven Mills, Brendan McCane:
RocNet: Recursive Octree Network for Efficient 3D Deep Representation. 3DV 2020: 414-422 - [c11]Yulu Fan, Jinchun Kou, Juncheng Liu:
Research on the Influencing Factors of Customer Loyalty in Offline Supermarket under New Retail Model. ICMSS 2020: 216-220 - [c10]Juncheng Liu, Steven Mills, Brendan McCane:
Variational Autoencoder for 3D Voxel Compression. IVCNZ 2020: 1-6 - [c9]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi:
NodeAug: Semi-Supervised Node Classification with Data Augmentation. KDD 2020: 207-217 - [i3]Juncheng Liu, Steven Mills, Brendan McCane:
RocNet: Recursive Octree Network for Efficient 3D Deep Representation. CoRR abs/2008.03875 (2020) - [i2]Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick:
Scaling Attributed Network Embedding to Massive Graphs. CoRR abs/2009.00826 (2020) - [i1]Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao:
Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes. CoRR abs/2012.07065 (2020)
2010 – 2019
- 2019
- [j6]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: 4653-4663 (2019) - [j5]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): 370-388 (2019) - [j4]Juncheng Liu, Paul L. Rosin, Xianfang Sun, Jianguo Xiao, Zhouhui Lian:
Image-driven unsupervised 3D model co-segmentation. Vis. Comput. 35(6-8): 909-920 (2019) - [c8]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: 1290-1297 - 2018
- [j3]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: 17-29 (2018) - [c7]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: 55-56 - 2017
- [c6]Juncheng Liu, Zhouhui Lian, Jianguo Xiao:
3D Mesh Unfolding via Semidefinite Programming. 3DOR@Eurographics 2017 - [c5]Juncheng Liu, Zhouhui Lian, Yi Wang, Jianguo Xiao:
Incremental Kernel Null Space Discriminant Analysis for Novelty Detection. CVPR 2017: 4123-4131 - [c4]Juncheng Liu, Zhouhui Lian, Jianguo Xiao:
Auto-colorization of 3D models from images. SIGGRAPH Asia Technical Briefs 2017: 15:1-15:4 - 2015
- [j2]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: 123-131 (2015) - [c3]Juncheng Liu, Zhouhui Lian, Jie Feng, Bingfeng Zhou:
Sketch based modeling via manifold regularization. SIGGRAPH Asia Technical Briefs 2015: 15:1-15:4 - 2014
- [j1]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): 555-574 (2014) - 2010
- [c2]Miaoxin Wang, Jizhen Liu, Juncheng Liu:
Delay-dependent robust H∞ control of nonlinear uncertain time-delay systems. ICCA 2010: 1249-1254
2000 – 2009
- 2004
- [c1]Zameer Shervani, Yutaka Ikushima, Juncheng Liu:
Development of Green and Clean? Reaction Media for Inorganic and Organic Nanomaterials. ICMENS 2004: 568-570
Coauthor Index
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last updated on 2024-09-13 01:37 CEST by the dblp team
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