Simon See

3.0k citations

129 papers · 1.4k indexed · 1 hit paper · h-index 20

Impact in

Software top 5%
- Software Testing and Debugging Techniques
Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques

Papers in ⓘ

Hardware and Architecture 19
- Parallel Computing and Optimization Techniques 18
Computer Vision and Pattern Recognition 37
- Advanced Neural Network Applications 10
- Human Pose and Action Recognition 10

Co-authors: Eugene Ch’ng (11 shared papers)Jianxiong Yin (14 shared papers)Lei Ma (3 shared papers)Yang Liu (2 shared papers)Minhui Xue (2 shared papers)Jianjun Zhao (2 shared papers)Xiaofei Xie (2 shared papers)Felix Juefei-Xu (2 shared papers)
Journals: Industrial Management & Data Systems (3 papers)Mathematical and Computer Modelling (2 papers)Computer Modeling in Engineering & Sciences (2 papers)Computational Mechanics (2 papers)Scientific Reports (1 paper)
Partner nations: Singapore China United Kingdom

In The Last Decade

Simon See

114 papers receiving 1.3k citations

Hit Papers

align trajectories log scale

DeepHunter: a coverage-guided fuzz testing framework for deep neural networks 2019 · 269 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2019 DeepHunter: a coverage-guided fuzz testing framework for deep neural networks

Peers

Countries citing papers authored by Simon See

Since Specialization

Citations

This map shows the geographic impact of Simon See's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon See with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon See more than expected).

Fields of papers citing papers by Simon See

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon See. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon See. The network helps show where Simon See may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon See, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon See Line = papers co-authored together Simon See links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	DeepHunter: a coverage-guided fuzz testing framework for deep neural networks Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, Simon See Hit paper breakdown →	2019	269
2	Sensor grid: integration of wireless sensor networks and the grid National University of Singapore ·Hock Beng Lim, Yong Meng Teo, Proshikshya Mukherjee, Vinh The Lam, Weng‐Fai Wong, Simon See	2005	62
3	FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation Xiaoyu Shi, Zhaoyang Huang, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li	2023	51
4	An Evaluation of Unified Memory Technology on NVIDIA GPUs Wenqiang Li, Guanghao Jin, Xuewen Cui, Simon See	2015	48
5	Multi-class Twitter sentiment classification with emojis Industrial Management & Data Systems ·Mengdi Li, Eugene Ch’ng, Alain Yee‐Loong Chong, Simon See	2018	41
6	Failure Prediction of Data Centers Using Time Series and Fault Tree Analysis Thanyalak Chalermarrewong, Tiranee Achalakul, Simon See	2012	36
7	Improving Individual Brain Age Prediction Using an Ensemble Deep Learning Framework Frontiers in Psychiatry ·Chen-Yuan Kuo, Tsung-Ming Tai, Pei‐Lin Lee, Chiu-Wang Tseng, Chieh-Yu Chen, Liang‐Kung Chen, Cheng-Kuang Lee, Kun-Hsien Chou, Simon See, Ching‐Po Lin	2021	28
8	Understanding Off-Chip Memory Contention of Parallel Programs in Multicore Systems National University of Singapore ·Bogdan Marius Tudor, Yong Meng Teo, Simon See	2011	28
9	A fast community detection method in bipartite networks by distance dynamics Physica A Statistical Mechanics and its Applications ·Hongliang Sun, Eugene Ch’ng, Xi Yong, Jonathan M. Garibaldi, Simon See, Duanbing Chen	2017	28
10	ACT: an Attentive Convolutional Transformer for Efficient Text Classification Proceedings of the AAAI Conference on Artificial Intelligence ·Pengfei Li, Peixiang Zhong, Kezhi Mao, Dongzhe Wang, Xuefeng Yang, Yunfeng Liu, Jianxiong Yin, Simon See	2021	28
11	An empirical analysis of emoji usage on Twitter Industrial Management & Data Systems ·Mengdi Li, Eugene Ch’ng, Alain Yee‐Loong Chong, Simon See	2019	28
12	VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation Xiaoyu Shi, Zhaoyang Huang, Weikang Bian, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li	2023	26
13	A Simple Baseline for Video Restoration with Grouped Spatial-Temporal Shift Dasong Li, Xiaoyu Shi, Yi Zhang, Ka Chun Cheung, Simon See, Xiaogang Wang, Hongwei Qin, Hongsheng Li	2023	26
14	Multiuser Interaction with Hybrid VR and AR for Cultural Heritage Objects Yue Li, Eugene Ch’ng, Shengdan Cai, Simon See	2018	25
15	Continual Semantic Segmentation with Automatic Memory Sample Selection Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu	2023	23
16	Learning Gabor Texture Features for Fine-Grained Recognition Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu	2023	21
17	Predicting blood–brain barrier permeability of molecules with a large language model and machine learning Scientific Reports ·Eddie Huang, Jai‐Sing Yang, Ken Ying-Kai Liao, Warren C. W. Tseng, Chien-Yu Lee, Michelle Gill, Colin B. Compas, Simon See, Fuu‐Jen Tsai	2024	21
18	Evaluation of a Performance Model of Lustre File System National University of Singapore ·Tiezhu Zhao, Verdi March, Shoubin Dong, Simon See	2010	21
19	Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies K.M. Liew, Hong Shen, Simon See, Wentong Cai, Pingzhi Fan	2004	20
20	Presence and Communication in Hybrid Virtual and Augmented Reality Environments PRESENCE Virtual and Augmented Reality ·Yue Li, Eugene Ch’ng, Sue Cobb, Simon See	2021	19

About Simon See

Simon See is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Management and Artificial Intelligence, having authored 129 papers that have together received 1.4k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (25 papers), Parallel Computing and Optimization Techniques (18 papers), Topic Modeling (12 papers), Advanced Data Storage Technologies (12 papers), Cloud Computing and Resource Management (11 papers), Advanced Neural Network Applications (10 papers), Natural Language Processing Techniques (10 papers) and Human Pose and Action Recognition (10 papers). The work is most often cited by research in Software (149 citations), Hardware and Architecture (140 citations), Computer Vision and Pattern Recognition (364 citations), Artificial Intelligence (534 citations) and Human-Computer Interaction (89 citations). Simon See has collaborated with scholars based in Singapore, China and United Kingdom. Frequent co-authors include Eugene Ch’ng, Jianxiong Yin, Lei Ma, Yang Liu, Minhui Xue, Jianjun Zhao, Xiaofei Xie, Felix Juefei-Xu, Hongxu Chen and Bo Li. Their work appears in journals such as Industrial Management & Data Systems, Mathematical and Computer Modelling, Computer Modeling in Engineering & Sciences, Computational Mechanics and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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