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Shiyu Liang
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Cited by
Year
Enhancing the reliability of out-of-distribution image detection in neural networks
S Liang, Y Li, R Srikant
6th International Conference on Learning Representations (ICLR), 2018, 2017
20972017
Why deep neural networks for function approximation?
S Liang, R Srikant
5th International Conference on Learning Representations (ICLR), 2017, 2016
4212016
Adding One Neuron Can Eliminate All Bad Local Minima
S Liang, R Sun, JD Lee, R Srikant
Thirty-second Conference on Neural Information Processing Systems (NeurIPS …, 2018
962018
Understanding the loss surface of neural networks for binary classification
S Liang, R Sun, Y Li, R Srikant
Thirty-sixth International Conference on Machine Learning (ICML), 2018, 2018
852018
The global landscape of neural networks: An overview
R Sun, D Li, S Liang, T Ding, R Srikant
IEEE Signal Processing Magazine 37 (5), 95-108, 2020
792020
Why deep neural networks
S Liang, R Srikant
arXiv preprint arXiv:1610.04161, 2016
462016
Enhancing the reliability of out-of-distribution image detection in neural networks. arXiv
S Liang, Y Li, R Srikant
arXiv preprint arXiv:1706.02690, 2017
222017
Revisiting landscape analysis in deep neural networks: Eliminating decreasing paths to infinity
S Liang, R Sun, R Srikant
SIAM Journal on Optimization 32 (4), 2797-2827, 2022
142022
The Role of Regularization in Overparameterized Neural Networks*
S Satpathi, H Gupta, S Liang, R Srikant
2020 59th IEEE Conference on Decision and Control (CDC), 4683-4688, 2020
82020
FINE: A framework for distributed learning on incomplete observations for heterogeneous crowdsensing networks
L Fu, S Ma, L Kong, S Liang, X Wang
IEEE/ACM Transactions on Networking 26 (3), 1092-1109, 2018
62018
Achieving small test error in mildly overparameterized neural networks
S Liang, R Sun, R Srikant
arXiv preprint arXiv:2104.11895, 2021
52021
DataExpo: A One-Stop Dataset Service for Open Science Research
B Lu, L Wu, L Yang, C Sun, W Liu, X Gan, S Liang, L Fu, X Wang, C Zhou
Companion Proceedings of the ACM Web Conference 2023, 32-36, 2023
42023
Graph out-of-distribution generalization with controllable data augmentation
B Lu, Z Zhao, X Gan, S Liang, L Fu, X Wang, C Zhou
IEEE Transactions on Knowledge and Data Engineering, 2024
32024
FlowerCast: Efficient Time-Sensitive Multicast in Wireless Sensor Networks with Link Uncertainty
J Tang, L Fu, S Liang, F Long, L Zhou, X Wang, C Zhou
ACM Transactions on Sensor Networks 20 (1), 1-32, 2023
22023
Temporal Generalization Estimation in Evolving Graphs
B Lu, T Ma, X Gan, X Wang, Y Zhu, C Zhou, S Liang
arXiv preprint arXiv:2404.04969, 2024
12024
The role of explicit regularization in overparameterized neural networks
S Liang
University of Illinois at Urbana-Champaign, 2021
12021
AceMap: Knowledge Discovery through Academic Graph
X Wang, L Fu, X Gan, Y Wen, G Zheng, J Ding, L Xiang, N Ye, M Jin, ...
arXiv preprint arXiv:2403.02576, 2024
2024
Revealing The Intrinsic Ability of Generative Text Summarizers for Outlier Paragraph Detection
Q Li, L Wu, L Liu, L Fu, X Wang, L Zhou, C Zhou, S Liang
2023
Knowledge does not explode but increases linearly over time
X Wang, H Kang, L Fu, J Ding, S Liang, J Wang, L Zhou, C Zhou
2023
Hi-PART: Going beyond Graph Pooling with Hierarchical Partition Tree for Graph-level Representation Learning
Y Ren, H Zhang, L Fu, S Liang, L Zhou, X Wang, X Cao, F Long, C Zhou
ACM Transactions on Knowledge Discovery from Data, 2023
2023
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