Shiyu Liang

According to our database, Shiyu Liang authored at least 22 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning.

Yuyang Ren, Haonan Zhang, Luoyi Fu, Shiyu Liang, Lei Zhou, Xinbing Wang, Xinde Cao, Fei Long, Chenghu Zhou

ACM Trans. Knowl. Discov. Data, May, 2024

State of the Art in Efficient Translucent Material Rendering with BSSRDF.

Shiyu Liang, Yang Gao, Chonghao Hu, Peng Zhou, Aimin Hao, Lili Wang, Hong Qin

Comput. Graph. Forum, February, 2024

FlowerCast: Efficient Time-sensitive Multicast in Wireless Sensor Networks with Link Uncertainty.

Jianzhi Tang, Luoyi Fu, Shiyu Liang, Fei Long, Lei Zhou, Xinbing Wang, Chenghu Zhou

ACM Trans. Sens. Networks, January, 2024

AceMap: Knowledge Discovery through Academic Graph.

Xinbing Wang, Luoyi Fu, Xiaoying Gan, Ying Wen, Guanjie Zheng, Jiaxin Ding, Liyao Xiang, Nanyang Ye, Meng Jin, Shiyu Liang, Bin Lu, Haiwen Wang, Yi Xu, Cheng Deng, Shao Zhang, Huquan Kang, Xingli Wang, Qi Li, Zhixin Guo, Jiexing Qi, Pan Liu, Yuyang Ren, Lyuwen Wu, Jungang Yang, Jianping Zhou, Chenghu Zhou

CoRR, 2024

2023

Graph Out-of-Distribution Generalization with Controllable Data Augmentation.

Bin Lu, Xiaoying Gan, Ze Zhao, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou

CoRR, 2023

DataExpo: A One-Stop Dataset Service for Open Science Research.

Bin Lu, Lyuwen Wu, Lina Yang, Chenxing Sun, Wei Liu, Xiaoying Gan, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Cluster-Specific Dictionary Learning Based Active User Detection for mMTC With Massive MIMO.

Shiyu Liang, Wei Chen, Ning Wang, Bo Ai

Proceedings of the IEEE Global Communications Conference, 2023

2022

Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity.

Shiyu Liang, Ruoyu Sun, R. Srikant

SIAM J. Optim., December, 2022

2021

Achieving Small Test Error in Mildly Overparameterized Neural Networks.

Shiyu Liang, Ruoyu Sun, R. Srikant

CoRR, 2021

2020

The Global Landscape of Neural Networks: An Overview.

Ruoyu Sun, Dawei Li, Shiyu Liang, Tian Ding, Rayadurgam Srikant

IEEE Signal Process. Mag., 2020

The Role of Regularization in Overparameterized Neural Networks.

Siddhartha Satpathi, Harsh Gupta, Shiyu Liang, R. Srikant

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2018

FINE: A Framework for Distributed Learning on Incomplete Observations for Heterogeneous Crowdsensing Networks.

Luoyi Fu, Songjun Ma, Lingkun Kong, Shiyu Liang, Xinbing Wang

IEEE/ACM Trans. Netw., 2018

B4 and after: managing hierarchy, partitioning, and asymmetry for availability and scale in google's software-defined WAN.

Chi-Yao Hong, Subhasree Mandal, Mohammad Al-Fares, Min Zhu, Richard Alimi, Kondapa Naidu Bollineni, Chandan Bhagat, Sourabh Jain, Jay Kaimal, Shiyu Liang, Kirill Mendelev, Steve Padgett, Faro Rabe, Saikat Ray, Malveeka Tewari, Matt Tierney, Monika Zahn, Jonathan Zolla, Joon Ong, Amin Vahdat

Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

Adding One Neuron Can Eliminate All Bad Local Minima.

Shiyu Liang, Ruoyu Sun, Jason D. Lee, R. Srikant

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Understanding the Loss Surface of Neural Networks for Binary Classification.

Shiyu Liang, Ruoyu Sun, Yixuan Li, Rayadurgam Srikant

Proceedings of the 35th International Conference on Machine Learning, 2018

Understanding the Loss Surface of Single-Layered Neural Networks for Binary Classification.

Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant

Proceedings of the 6th International Conference on Learning Representations, 2018

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks.

Shiyu Liang, Yixuan Li, R. Srikant

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Principled Detection of Out-of-Distribution Examples in Neural Networks.

Shiyu Liang, Yixuan Li, R. Srikant

CoRR, 2017

Why Deep Neural Networks for Function Approximation?

Shiyu Liang, R. Srikant

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Why Deep Neural Networks?

Shiyu Liang, R. Srikant

CoRR, 2016

2015

Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype data.

Jiawei Luo, Shiyu Liang

J. Biomed. Informatics, 2015

2014

Are we still friends: Kernel multivariate survival analysis.

Shiyu Liang, Ruotian Luo, Ge Chen, Songjun Ma, Weijie Wu, Li Song, Xiaohua Tian, Xinbing Wang

Proceedings of the IEEE Global Communications Conference, 2014