Shiyu Liang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 27

Top Topics

Survival Analysis

Top Venues

Publications

Jianzhi Tang, Luoyi Fu, Shiyu Liang, Fei Long, Lei Zhou, Xinbing Wang, Chenghu Zhou
FlowerCast: Efficient Time-sensitive Multicast in Wireless Sensor Networks with Link Uncertainty. ACM Trans. Sens. Networks 20 (1) (2024)
Yuyang Ren, Haonan Zhang, Luoyi Fu, Shiyu Liang, Lei Zhou, Xinbing Wang, Xinde Cao, Fei Long, Chenghu Zhou
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Shiyu Liang, Yang Gao, Chonghao Hu, Peng Zhou, Aimin Hao, Lili Wang, Hong Qin
State of the Art in Efficient Translucent Material Rendering with BSSRDF. Comput. Graph. Forum 43 (1) (2024)
Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu, Chenghu Zhou, Shiyu Liang
Temporal Generalization Estimation in Evolving Graphs. ICLR (2024)
Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu, Chenghu Zhou, Shiyu Liang
Temporal Generalization Estimation in Evolving Graphs. CoRR (2024)
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
AceMap: Knowledge Discovery through Academic Graph. CoRR (2024)
Shiyu Liang, Wei Chen, Ning Wang, Bo Ai
Cluster-Specific Dictionary Learning Based Active User Detection for mMTC With Massive MIMO. GLOBECOM (2023)
Bin Lu, Lyuwen Wu, Lina Yang, Chenxing Sun, Wei Liu, Xiaoying Gan, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou
DataExpo: A One-Stop Dataset Service for Open Science Research. WWW (Companion Volume) (2023)
Bin Lu, Xiaoying Gan, Ze Zhao, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou
Graph Out-of-Distribution Generalization with Controllable Data Augmentation. CoRR (2023)
Shiyu Liang, Ruoyu Sun, R. Srikant
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity. SIAM J. Optim. 32 (4) (2022)
Shiyu Liang, Ruoyu Sun, R. Srikant
Achieving Small Test Error in Mildly Overparameterized Neural Networks. CoRR (2021)
Ruoyu Sun, Dawei Li, Shiyu Liang, Tian Ding, Rayadurgam Srikant
The Global Landscape of Neural Networks: An Overview. IEEE Signal Process. Mag. 37 (5) (2020)
Siddhartha Satpathi, Harsh Gupta, Shiyu Liang, R. Srikant
The Role of Regularization in Overparameterized Neural Networks. CDC (2020)
Ruoyu Sun, Dawei Li, Shiyu Liang, Tian Ding, R. Srikant
The Global Landscape of Neural Networks: An Overview. CoRR (2020)
Shiyu Liang, Ruoyu Sun, R. Srikant
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity. CoRR (2019)
Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant
Understanding the Loss Surface of Neural Networks for Binary Classification. CoRR (2018)
Shiyu Liang, Yixuan Li, R. Srikant
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks. ICLR (Poster) (2018)
Shiyu Liang, Ruoyu Sun, Jason D. Lee, R. Srikant
Adding One Neuron Can Eliminate All Bad Local Minima. NeurIPS (2018)
Shiyu Liang, Ruoyu Sun, Jason D. Lee, R. Srikant
Adding One Neuron Can Eliminate All Bad Local Minima. CoRR (2018)
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
B4 and after: managing hierarchy, partitioning, and asymmetry for availability and scale in google's software-defined WAN. SIGCOMM (2018)
Shiyu Liang, Ruoyu Sun, Yixuan Li, Rayadurgam Srikant
Understanding the Loss Surface of Neural Networks for Binary Classification. ICML (2018)
Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant
Understanding the Loss Surface of Single-Layered Neural Networks for Binary Classification. ICLR (Workshop) (2018)
Luoyi Fu, Songjun Ma, Lingkun Kong, Shiyu Liang, Xinbing Wang
FINE: A Framework for Distributed Learning on Incomplete Observations for Heterogeneous Crowdsensing Networks. IEEE/ACM Trans. Netw. 26 (3) (2018)
Shiyu Liang, R. Srikant
Why Deep Neural Networks for Function Approximation? ICLR (Poster) (2017)
Shiyu Liang, Yixuan Li, R. Srikant
Principled Detection of Out-of-Distribution Examples in Neural Networks. CoRR (2017)
Shiyu Liang, R. Srikant
Why Deep Neural Networks? CoRR (2016)
Jiawei Luo, Shiyu Liang
Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype data. J. Biomed. Informatics 53 (2015)
Shiyu Liang, Ruotian Luo, Ge Chen, Songjun Ma, Weijie Wu, Li Song, Xiaohua Tian, Xinbing Wang
Are we still friends: Kernel multivariate survival analysis. GLOBECOM (2014)