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Shiyu Liang
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2020 – today
- 2024
- [j8]Shiyu Liang
, Yang Gao
State of the Art in Efficient Translucent Material Rendering with BSSRDF. Comput. Graph. Forum 43(1) (2024) - [j7]Yuyang Ren
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning. ACM Trans. Knowl. Discov. Data 18(4): 94:1-94:20 (2024) - [j6]Bin Lu
Graph Out-of-Distribution Generalization With Controllable Data Augmentation. IEEE Trans. Knowl. Data Eng. 36(11): 6317-6329 (2024) - [j5]Jianzhi Tang
FlowerCast: Efficient Time-sensitive Multicast in Wireless Sensor Networks with Link Uncertainty. ACM Trans. Sens. Networks 20(1): 3:1-3:32 (2024) - [c11]Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu, Chenghu Zhou, Shiyu Liang:
Temporal Generalization Estimation in Evolving Graphs. ICLR 2024 - [i12]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 abs/2403.02576 (2024) - [i11]Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu, Chenghu Zhou, Shiyu Liang:
Temporal Generalization Estimation in Evolving Graphs. CoRR abs/2404.04969 (2024) - [i10]Huquan Kang, Luoyi Fu, Russell J. Funk, Xinbing Wang, Jiaxin Ding, Shiyu Liang, Jianghao Wang, Lei Zhou, Chenghu Zhou:
Scientific and technological knowledge grows linearly over time. CoRR abs/2409.08349 (2024) - [i9]Hanbo Huang, Yihan Li, Bowen Jiang, Lin Liu, Ruoyu Sun, Zhuotao Liu, Shiyu Liang:
Archilles' Heel in Semi-open LLMs: Hiding Bottom against Recovery Attacks. CoRR abs/2410.11182 (2024) - 2023
- [c10]Shiyu Liang, Wei Chen
Cluster-Specific Dictionary Learning Based Active User Detection for mMTC With Massive MIMO. GLOBECOM 2023: 5823-5828 - [c9]Bin Lu
DataExpo: A One-Stop Dataset Service for Open Science Research. WWW (Companion Volume) 2023: 32-36 - [i8]Bin Lu, Xiaoying Gan, Ze Zhao, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou:
Graph Out-of-Distribution Generalization with Controllable Data Augmentation. CoRR abs/2308.08344 (2023) - 2022
- [j4]Shiyu Liang, Ruoyu Sun
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity. SIAM J. Optim. 32(4): 2797-2827 (2022) - 2021
- [i7]Shiyu Liang, Ruoyu Sun, R. Srikant:
Achieving Small Test Error in Mildly Overparameterized Neural Networks. CoRR abs/2104.11895 (2021) - 2020
- [j3]Ruoyu Sun, Dawei Li
The Global Landscape of Neural Networks: An Overview. IEEE Signal Process. Mag. 37(5): 95-108 (2020) - [c8]Siddhartha Satpathi, Harsh Gupta, Shiyu Liang, R. Srikant:
The Role of Regularization in Overparameterized Neural Networks. CDC 2020: 4683-4688 - [i6]Ruoyu Sun, Dawei Li, Shiyu Liang, Tian Ding, R. Srikant:
The Global Landscape of Neural Networks: An Overview. CoRR abs/2007.01429 (2020)
2010 – 2019
- 2019
- [i5]Shiyu Liang, Ruoyu Sun, R. Srikant:
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity. CoRR abs/1912.13472 (2019) - 2018
- [j2]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): 1092-1109 (2018) - [c7]Shiyu Liang, Yixuan Li, R. Srikant:
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks. ICLR (Poster) 2018 - [c6]Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant:
Understanding the Loss Surface of Single-Layered Neural Networks for Binary Classification. ICLR (Workshop) 2018 - [c5]Shiyu Liang, Ruoyu Sun, Yixuan Li, Rayadurgam Srikant:
Understanding the Loss Surface of Neural Networks for Binary Classification. ICML 2018: 2840-2849 - [c4]Shiyu Liang, Ruoyu Sun, Jason D. Lee, R. Srikant:
Adding One Neuron Can Eliminate All Bad Local Minima. NeurIPS 2018: 4355-4365 - [c3]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: 74-87 - [i4]Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant:
Understanding the Loss Surface of Neural Networks for Binary Classification. CoRR abs/1803.00909 (2018) - [i3]Shiyu Liang, Ruoyu Sun, Jason D. Lee, R. Srikant:
Adding One Neuron Can Eliminate All Bad Local Minima. CoRR abs/1805.08671 (2018) - 2017
- [c2]Shiyu Liang, R. Srikant:
Why Deep Neural Networks for Function Approximation? ICLR (Poster) 2017 - [i2]Shiyu Liang, Yixuan Li, R. Srikant:
Principled Detection of Out-of-Distribution Examples in Neural Networks. CoRR abs/1706.02690 (2017) - 2016
- [i1]Shiyu Liang, R. Srikant:
Why Deep Neural Networks? CoRR abs/1610.04161 (2016) - 2015
- [j1]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: 229-236 (2015) - 2014
- [c1]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: 405-410
Coauthor Index
aka: Rayadurgam Srikant
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