Scheduling Algorithm for Distributed Simulation Systems Management. - Simon See (ESM, 2002)

Use of Rate Control and Historical Data to Improve Performance of Servers. - Pok Vic Sent; Simon See; Ian Li-Jin Thng (ESM, 2002)

A Distributed Simulation Management Engine for Ordinary Differential Equations. - Simon See (ISPAN, 2002)

Resource Co-allocation for Parallel Tasks in Computational Grids. - Lizhe Wang 001; Wentong Cai 001; Bu-Sung Lee; Simon See; Wei Jie (CLADE, 2003)

DPBP: A Sort-First Parallel Rendering Algorithm for Distributed Rendering Environments. - Huabing Zhu; Kai-Yun Chan; Lizhe Wang 001; Wentong Cai 001; Simon See (CW, 2003)

GriDE: A Grid-Enabled Development Environment. - Simon See; Jie Song 005; Liang Peng; Appie Stoelwinder; Hoon Kang Neo (GCC (1), 2003)

A Distributed Rendering Environment for Massive Data on Computational Grids. - Huabing Zhu; Lizhe Wang 001; Kai-Yun Chan; Wentong Cai 001; Simon See (Peer-to-Peer Computing, 2003)

Resource Co-Allocation for Meta-Task in Computational Grids. - Lizhe Wang 001; Wentong Cai 001; Bu-Sung Lee; Simon See; Wei Jie (PDPTA, 2003)

Application Partitionability in Computational Grids. - Liang Peng; Simon See (IPDPS, 2004)

Benchmark Performance on Cluster Grid with NGB. - Liang Peng; Simon See; Jie Song 005; Appie Stoelwinder; Hoon Kang Neo (IPDPS, 2004)

Agent-Mediated Genetic Super-Scheduling in Grid Environments. - Gang Chen 002; Zhonghua Yang; Simon See; Jie Song 005 (PDCAT, 2004)

Scheduler Oriented Grid Performance Evaluation. - Liang Peng; Simon See (PDCAT, 2004)

Investigating Super Scheduling Algorithms for Grid Computing: A Simulation Approach. - Jie Song 005; Zhonghua Yang; Simon See (PDCAT, 2004)

A prototype of distributed molecular visualization on computational grids. - Huabing Zhu; Tony Kai Yun Chan; Lizhe Wang 001; Wentong Cai 001; Simon See (Future Gener. Comput. Syst., 2004)

Models and Heuristics for Resource Co-reservation for Parallel Tasks in Computational Grids. - Lizhe Wang 001; Wentong Cai 001; Simon See; Wei Jie (Neural Parallel Sci. Comput., 2004)

Performance Investigation of Weighted Meta-scheduling Algorithm for Scientific Grid. - Jie Song 005; Chee-Kian Koh; Simon See; Kheng Leng Gay (GCC, 2005)

Performance Monitoring for Distributed Service Oriented Grid Architecture. - Liang Peng; Melvin Koh; Jie Song 005; Simon See (ICA3PP, 2005)

Sensor Grid: Integration ofWireless Sensor Networks and the Grid. - Hock-Beng Lim; Yong Meng Teo; Protik Mukherjee; Vinh The Lam; Weng-Fai Wong; Simon See (LCN, 2005)

Service Registry Discovery using GridSearch P2P Framework. - Melvin Koh; Jie Song 005; Liang Peng; Simon See (CCGRID, 2006)

A Co-ordinate Based Resource Allocation Strategy for Grid Environments. - Benjamin Khoo Boon Tat; Bharadwaj Veeravalli; Terence Hung; Simon See (CCGRID, 2006)

Grid Service Monitoring for Grid Market Framework. - Liang Peng; Melvin Koh; Jie Song 005; Simon See (ICON, 2006)

Modeling and Verifying Non-DAG Workflows for Computational Grids. - Sumit W. Sorde; Sanjeev K. Aggarwal; Jie Song 005; Melvin Koh; Simon See (IEEE SCW, 2007)

A multi-dimensional scheduling scheme in a Grid computing environment. - Benjamin Khoo Boon Tat; Bharadwaj Veeravalli; Terence Hung; Simon See (J. Parallel Distributed Comput., 2007)

Pricing Strategies in Grid Market: Simulation and Analysis. - Xia Xie; Jin Huang; Hai Jin 001; Song Wu 001; Melvin Koh; Jie Song 005; Simon See (GCC, 2008)

A Discriminatory Pay-as-Bid Mechanism for Efficient Scheduling in the Sun N1 Grid Engine. - Jochen Stößer; Philipp Bodenbenner; Simon See; Dirk Neumann 001 (HICSS, 2008)

Grid Discovery Zone: Virtualization for Exploiting Easy-Management and High-Utilization in Grid. - Yuxin Tang; Ruihua Zhang; Simon See; Che Cheung; Chi-Hung Chan (HPCC, 2008)

Survey on Parallel Programming Model. - Henry Kasim; Verdi March; Rita Zhang; Simon See (NPC, 2008)

Research on the Performance of xVM Virtual Machine Based on HPCC. - Tiezhu Zhao; Yilong Ding; Verdi March; Shoubin Dong; Simon See (ChinaGrid, 2009)

Data mining analysis to validate performance tuning practices for HPL. - Tuan Zea Tan; Rick Siow Mong Goh; Verdi March; Simon See (CLUSTER, 2009)

A Case Study of Speeding up Performance Tuning Process using Data Mining Approach. - Tuan Zea Tan; Rick Siow Mong Goh; Verdi March; Simon See (CSC, 2009)

Performance Comparison of Four-Socket Server Architecture on HPC Workload. - Henry Kasim; Verdi March; Simon See (CSE (1), 2009)

Towards Predictive Modeling of Message-Passing Communication. - Verdi March; Vijayaraghavan Murali; Yong Meng Teo; Simon See; James T. Himer (HPCC, 2009)

An approach for matching communication patterns in parallel applications. - Chao Ma 008; Yong Meng Teo; Verdi March; Naixue Xiong; I. R. Pop; Yanxiang He; Simon See (IPDPS, 2009)

A Time-based Formalism for the Validation of Semantic Composability. - Claudia Szabo; Yong Meng Teo; Simon See (WSC, 2009)

Evaluation of a Performance Model of Lustre File System. - Tiezhu Zhao; Verdi March; Shoubin Dong; Simon See (ChinaGrid, 2010)

Customers' Preferences for Infrastructure Cloud Services. - Arun Anandasivam; Philipp Best; Simon See (CEC, 2010)

A implementation of an automatic examination paper generation system. - Guang Cen; Yuxiao Dong; Wanlin Gao; Lina Yu; Simon See; Qing Wang 011; Ying Yang; Hongbiao Jiang (Math. Comput. Model., 2010)

Research of an architecture of operating system kernel based on modularity concept. - Hongbiao Jiang; Wanlin Gao; Manwei Wang; Simon See; Ying Yang; Wei Liu; Jin Wang (Math. Comput. Model., 2010)

Simulation of Infiniband Networks and Effciency Calculation on Non-blocking Fully Populated Fat-Tree Topology. - Gitanjali Sachdeva; Abhishek Patel; Henry Kasim; Simon See (3PGCIC, 2011)

Understanding Off-Chip Memory Contention of Parallel Programs in Multicore Systems. - Bogdan Marius Tudor; Yong Meng Teo; Simon See (ICPP, 2011)

GPU-accelerated adaptive compression framework for genomics data. - GuiXin Guo; Shuang Qiu; Zhiqiang Ye; Bingqiang Wang; Lin Fang; Mian Lu; Simon See; Rui Mao 001 (IEEE BigData, 2013)

Gravitational Search Algorithm Using CUDA. - Amirreza Zarrabi; Ettikan Kandasamy Karuppiah; Keh Kok Yong; Ngo Chuan Hai; Simon See (PDCAT, 2014)

An Evaluation of Unified Memory Technology on NVIDIA GPUs. - Wenqiang Li; Guanghao Jin; Xuewen Cui; Simon See (CCGRID, 2015)

A GPU Query Accelerator for Geospatial Coordinates Computation. - Keh Kok Yong; Wing Kent Ho; Meng Wei Chua; Simon See (ICCCRI, 2015)

Understanding Performance Portability of OpenACC for Supercomputers. - Suttinee Sawadsitang; James Lin; Simon See; François Bodin; Satoshi Matsuoka (IPDPS Workshops, 2015)

在Intel Knights Corner和NVIDIA Kepler架构上OpenACC的性能可移植性分析 (Performance Portability Evaluation for OpenACC on Intel Knights Corner and NVIDIA Kepler). - Yichao Wang; Qiang Qin; Simon See; Xinhua Lin (计算机科学, 2015)

Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks. - Jinghua Wang; Zhenhua Wang 002; Dacheng Tao; Simon See; Gang Wang 012 (ECCV (5), 2016)

Performance and Portability Studies with OpenACC Accelerated Version of GTC-P. - Yueming Wei; Yichao Wang 001; Linjin Cai; William M. Tang; Bei Wang 002; Stéphane Ethier; Simon See; James Lin (PDCAT, 2016)

Real-time GPU-accelerated social media sentiment processing and visualization. - Eugene Ch'ng; Ziyang Chen; Simon See (DS-RT, 2017)

CRNN: A Joint Neural Network for Redundancy Detection. - Xinyu Fu 001; Eugene Ch'ng; Uwe Aickelin; Simon See (SMARTCOMP, 2017)

Fast MPEG-CDVS Encoder with GPU-CPU Hybrid Computing. - Lingyu Duan; Wei Sun; Xinfeng Zhang 001; Jie Chen 006; Jianxiong Yin; Simon See; Tiejun Huang 001; Alex C. Kot; Wen Gao 001 (CoRR, 2017)

星系分组算法的并行设计与优化: SGI系统与分布式集群对比 (Parallel Design and Optimization of Galaxy Group Finding Algorithm on Comparation of SGI and Distributed-memory Cluster). - Yumeng Si; Jianwen Wei; Simon See; James Lin (计算机科学, 2017)

异构集群上的宏基因组聚类优化 (Accelerating Gene Clustering on Heterogeneous Clusters). - Jianwen Wei; Zhigeng Xu; Bingqiang Wang; Simon See; James Lin (计算机科学, 2017)

Deep Learning with Evolutionary and Genomic Profiles for Identifying Cancer Subtypes. - Chun-Yu Lin 003; Peiying Ruan; Ruiming Li; Jinn-Moon Yang; Simon See; Tatsuya Akutsu (BIBE, 2018)

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks. - Jason Kuen; Xiangfei Kong; Zhe Lin 001; Gang Wang 012; Jianxiong Yin; Simon See; Yap-Peng Tan (CVPR, 2018)

Multiuser Interaction with Hybrid VR and AR for Cultural Heritage Objects. - Yue Li 023; Eugene Ch'ng; Shengdan Cai; Simon See (DigitalHERITAGE/VSMM, 2018)

Optimizing Deep Learning Frameworks Incrementally to Get Linear Speedup: A Comparison Between IPoIB and RDMA Verbs. - Chang Liu; Jianwen Wei; Yichao Wang 001; Minhua Wen; Simon See; James Lin (ICPADS, 2018)

Efficient method for AI computing. - Simon See (VLSI-DAT, 2018)

Coverage-Guided Fuzzing for Deep Neural Networks. - Xiaofei Xie; Lei Ma 003; Felix Juefei-Xu; Hongxu Chen 001; Minhui Xue 001; Bo Li 026; Yang Liu 003; Jianjun Zhao 001; Jianxiong Yin; Simon See (CoRR, 2018)

Secure Deep Learning Engineering: A Software Quality Assurance Perspective. - Lei Ma 003; Felix Juefei-Xu; Minhui Xue 001; Qiang Hu; Sen Chen 001; Bo Li 026; Yang Liu 003; Jianjun Zhao 001; Jianxiong Yin; Simon See (CoRR, 2018)

Multi-class Twitter sentiment classification with emojis. - Mengdi Li; Eugene Ch'ng; Alain Yee-Loong Chong; Simon See (Ind. Manag. Data Syst., 2018)

Fast MPEG-CDVS Encoder With GPU-CPU Hybrid Computing. - Ling-Yu Duan; Wei Sun; Xinfeng Zhang 001; Shiqi Wang 001; Jie Chen 006; Jianxiong Yin; Simon See; Tiejun Huang 001; Alex C. Kot; Wen Gao 001 (IEEE Trans. Image Process., 2018)

DeepHunter: a coverage-guided fuzz testing framework for deep neural networks. - Xiaofei Xie; Lei Ma 003; Felix Juefei-Xu; Minhui Xue 001; Hongxu Chen 001; Yang Liu 003; Jianjun Zhao 001; Bo Li 026; Jianxiong Yin; Simon See (ISSTA, 2019)

Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention. - Qingyi Tao; Zongyuan Ge; Jianfei Cai 001; Jianxiong Yin; Simon See (MICCAI (6), 2019)

Understanding Top-k Sparsification in Distributed Deep Learning. - Shaohuai Shi; Xiaowen Chu 001; Ka Chun Cheung; Simon See (CoRR, 2019)

An empirical analysis of emoji usage on Twitter. - Mengdi Li; Eugene Ch'ng; Alain Yee-Loong Chong; Simon See (Ind. Manag. Data Syst., 2019)

Influential spreaders in the political Twitter sphere of the 2013 Malaysian general election. - Hong-Liang Sun; Eugene Ch'ng; Simon See (Ind. Manag. Data Syst., 2019)

Deep learning with evolutionary and genomic profiles for identifying cancer subtypes. - Chun-Yu Lin 003; Peiying Ruan; Ruiming Li; Jinn-Moon Yang; Simon See; Jiangning Song; Tatsuya Akutsu (J. Bioinform. Comput. Biol., 2019)

Evolving a Deep Neural Network Training Time Estimator. - Frédéric Pinel; Jianxiong Yin; Christian Hundt 002; Emmanuel Kieffer; Sébastien Varrette; Pascal Bouvry; Simon See (OLA, 2020)

Dependently Typed Knowledge Graphs. - Zhangsheng Lai; Aik Beng Ng; Liang Ze Wong; Simon See; Shaowei Lin (CoRR, 2020)

ARID: A New Dataset for Recognizing Action in the Dark. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Kezhi Mao; Jianxiong Yin; Simon See (CoRR, 2020)

A deep learning based nonlinear upscaling method for transport equations. - Tak Shing Au Yeung; Eric T. Chung 001; Simon See (CoRR, 2020)

ACT: an Attentive Convolutional Transformer for Efficient Text Classification. - Pengfei Li; Peixiang Zhong; Kezhi Mao; Dongzhe Wang; Xuefeng Yang; Yunfeng Liu; Jianxiong Yin; Simon See (AAAI, 2021)

Retrospective Class Incremental Learning. - Qingyi Tao; Chen Change Loy; Jianfei Cai 001; ZongYuan Ge; Simon See (ICME, 2021)

Recent advance in machine learning for partial differential equation. - Ka Chun Cheung; Simon See (CCF Trans. High Perform. Comput., 2021)

Challenges and opportunities for a hybrid modelling approach to earth system science. - Simon See; Jeff Adie (CCF Trans. High Perform. Comput., 2021)

Aligning Correlation Information for Domain Adaptation in Action Recognition. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Kezhi Mao; Jianxiong Yin; Simon See (CoRR, 2021)

Self-Supervised Video Representation Learning by Video Incoherence Detection. - Haozhi Cao; Yuecong Xu; Jianfei Yang; Kezhi Mao; Lihua Xie 001; Jianxiong Yin; Simon See (CoRR, 2021)

Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning. - Yi-Chen Chen; Shu-Wen Yang; Cheng-Kuang Lee; Simon See; Hung-yi Lee (CoRR, 2021)

Exploiting inter-frame regional correlation for efficient action recognition. - Yuecong Xu; Jianfei Yang; Kezhi Mao; Jianxiong Yin; Simon See (Expert Syst. Appl., 2021)

PNL: Efficient long-range dependencies extraction with pyramid non-local module for action recognition. - Yuecong Xu; Haozhi Cao; Jianfei Yang; Kezhi Mao; Jianxiong Yin; Simon See (Neurocomputing, 2021)

Effective action recognition with embedded key point shifts. - Haozhi Cao; Yuecong Xu; Jianfei Yang; Kezhi Mao; Jianxiong Yin; Simon See (Pattern Recognit., 2021)

Visual Marine Debris Detection using Yolov5s for Autonomous Underwater Vehicle. - Cheng Siong Chin; Aloysius Bo Hui Neo; Simon See (ICIS, 2022)

Max Fusing Gated Recurrent Units and Ensemble Classifier for Intelligent Acoustic Classification. - Cheng Siong Chin; Simon See (ICIS, 2022)

PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population. - Tianqing Fang; Quyet V. Do; Hongming Zhang 009; Yangqiu Song; Ginny Y. Wong; Simon See (EMNLP (Findings), 2022)

SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller. - Zhaowei Wang 003; Hongming Zhang 009; Tianqing Fang; Yangqiu Song; Ginny Y. Wong; Simon See (EMNLP, 2022)

Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform. - Huiru Xiao; Xin Liu 039; Yangqiu Song; Ginny Y. Wong; Simon See (EMNLP, 2022)

Unified Recurrence Modeling for Video Action Anticipation. - Tsung-Ming Tai; Giuseppe Fiameni; Cheng-Kuang Lee; Simon See; Oswald Lanz (ICPR, 2022)

SynDa: A Novel Synthetic Data Generation Pipeline for Activity Recognition. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Simon See (ISMAR Adjunct, 2022)

Towards a HOI application for digital home assistants. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Simon See (ISMAR Adjunct, 2022)

NVIDIA-UNIBZ Submission for EPIC-KITCHENS-100 Action Anticipation Challenge 2022. - Tsung-Ming Tai; Oswald Lanz; Giuseppe Fiameni; Yi-Kwan Wong; Sze-Sen Poon; Cheng-Kuang Lee; Ka Chun Cheung; Simon See (CoRR, 2022)

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation. - Sixing Yan; William K. Cheung 001; Wan Hang Keith Chiu; Terence M. Tong; Charles K. Cheung; Simon See (CoRR, 2022)

Saving the Limping: Fault-tolerant Quadruped Locomotion via Reinforcement Learning. - Dikai Liu; Tianwei Zhang 004; Jianxiong Yin; Simon See (CoRR, 2022)

Inductive Attention for Video Action Anticipation. - Tsung-Ming Tai; Giuseppe Fiameni; Cheng-Kuang Lee; Simon See; Oswald Lanz (CoRR, 2022)

NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. - Xin He; Jiangchao Yao; Yuxin Wang 003; Zhenheng Tang; Ka Chun Cheung; Simon See; Bo Han 003; Xiaowen Chu 001 (AAAI, 2023)

COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective. - Zhaowei Wang 003; Quyet V. Do; Hongming Zhang 009; Jiayao Zhang 001; Weiqi Wang 001; Tianqing Fang; Yangqiu Song; Ginny Y. Wong; Simon See (ACL (1), 2023)

DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition. - Chunkit Chan; Xin Liu 039; Jiayang Cheng; Zihan Li; Yangqiu Song; Ginny Y. Wong; Simon See (ACL (Findings), 2023)

NewsMet : A 'do it all' Dataset of Contemporary Metaphors in News Headlines. - Rohan Joseph; Timothy Liu; Aik Beng Ng; Simon See; Sunny Rai (ACL (Findings), 2023)

Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport. - Zihao Wang 001; Weizhi Fei; Hang Yin 008; Yangqiu Song; Ginny Y. Wong; Simon See (ACL (Findings), 2023)

TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining. - Qing Zong; Zhaowei Wang 003; Baixuan Xu; Tianshi Zheng; Haochen Shi; Weiqi Wang 001; Yangqiu Song; Ginny Y. Wong; Simon See (ArgMining@EMNLP, 2023)

A Simple Baseline for Video Restoration with Grouped Spatial-Temporal Shift. - Dasong Li; Xiaoyu Shi 002; Yi Zhang 108; Ka Chun Cheung; Simon See; Xiaogang Wang 001; Hongwei Qin; Hongsheng Li 001 (CVPR, 2023)

FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation. - Xiaoyu Shi 002; Zhaoyang Huang; Dasong Li; Manyuan Zhang; Ka Chun Cheung; Simon See; Hongwei Qin; Jifeng Dai; Hongsheng Li 001 (CVPR, 2023)

Continual Semantic Segmentation with Automatic Memory Sample Selection. - Lanyun Zhu; Tianrun Chen; Jianxiong Yin; Simon See; Jun Liu 036 (CVPR, 2023)

Fault Sound Detection of Marine Pump Under Uncertainties Using Convolutional Neural Network. - Alagappa Pragash Natarajan; Cheng Siong Chin; Simon See (DSIT, 2023)

Deep Transfer Learning Application for Intelligent Marine Debris Detection. - Kai Yuan Chia; Cheng Siong Chin; Simon See (EANN, 2023)

TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses. - Xuesong Chen 001; Shaoshuai Shi; Chao Zhang; Benjin Zhu; Qiang Wang 023; Ka Chun Cheung; Simon See; Hongsheng Li 001 (ICCV, 2023)

CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields. - Ziyuan Luo; Qing Guo 005; Ka Chun Cheung; Simon See; Renjie Wan (ICCV, 2023)

VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation. - Xiaoyu Shi 002; Zhaoyang Huang; Weikang Bian; Dasong Li; Manyuan Zhang; Ka Chun Cheung; Simon See; Hongwei Qin; Jifeng Dai; Hongsheng Li 001 (ICCV, 2023)

Learning Gabor Texture Features for Fine-Grained Recognition. - Lanyun Zhu; Tianrun Chen; Jianxiong Yin; Simon See; Jun Liu 036 (ICCV, 2023)

Logical Message Passing Networks with One-hop Inference on Atomic Formulas. - Zihao Wang 001; Yangqiu Song; Ginny Y. Wong; Simon See (ICLR, 2023)

Self-Consistent Narrative Prompts on Abductive Natural Language Inference. - Chunkit Chan; Xin Liu 039; Tsz Ho Chan; Jiayang Cheng; Yangqiu Song; Ginny Y. Wong; Simon See (IJCNLP (1), 2023)

Exploring Domain Randomization's Effect on Synthetic Data for Activity Detection. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Andrew Grant; Eric Cameracci; Simon See (MetaCom, 2023)

Towards Balanced Active Learning for Multimodal Classification. - Meng Shen 002; Yizheng Huang 001; Jianxiong Yin; Heqing Zou; Deepu Rajan; Simon See (ACM Multimedia, 2023)

IRCasTRF: Inverse Rendering by Optimizing Cascaded Tensorial Radiance Fields, Lighting, and Materials From Multi-view Images. - Wenpeng Xing; Jie Chen 026; Ka Chun Cheung; Simon See (ACM Multimedia, 2023)

SynthDa: Exploiting Existing Real-World Data for Usable and Accessible Synthetic Data Generation. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Zhihua Zhou; Andrew Grant; Simon See (SIGGRAPH Asia Technical Communications, 2023)

Reducing the Carbon Footprint of Ensemble Weather Forecasting with GPUs. - Jeff Adie; Terry Yin; Stan Posey; Simon See (TENCON, 2023)

MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs. - Huaizheng Zhang; Yuanming Li; Wencong Xiao; Yizheng Huang 001; Xing Di; Jianxiong Yin; Simon See; Yong Luo 002; Chiew Tong Lau; Yang You (CoRR, 2023)

A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning. - Wei-Fang Sun; Cheng-Kuang Lee; Simon See; Chun-Yi Lee (J. Mach. Learn. Res., 2023)

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation. - Sixing Yan; William K. Cheung 001; Wan Hang Keith Chiu; Terence M. Tong; Ka Chun Cheung; Simon See (IEEE Trans. Medical Imaging, 2023)

Transfer Learning With Singular Value Decomposition of Multichannel Convolution Matrices. - Tak Shing Au Yeung; Ka Chun Cheung; Michael K. Ng 001; Simon See; Andy M. Yip (Neural Comput., 2023)

AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation. - Zhaowei Wang 003; Wei Fan 001; Qing Zong; Hongming Zhang 009; Sehyun Choi; Tianqing Fang; Xin Liu 039; Yangqiu Song; Ginny Y. Wong; Simon See (ACL (1), 2024)

TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction. - Xingzhi Zhou 002; Xin Dong; Chunhao Li; Yuning Bai; Yulong Xu; Ka Chun Cheung; Simon See; Xinpeng Song; Runshun Zhang; Xuezhong Zhou; Nevin L. Zhang (BIBM, 2024)

AHIVE: Anatomy-Aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval. - Sixing Yan; William K. Cheung 001; Ivor W. Tsang; Keith Chin; Terence M. Tong; Ka Chun Cheung; Simon See (CVPR, 2024)

Addressing Background Context Bias in Few-Shot Segmentation Through Iterative Modulation. - Lanyun Zhu; Tianrun Chen; Jianxiong Yin; Simon See; Jun Liu 036 (CVPR, 2024)

Audience Persona Knowledge-Aligned Prompt Tuning Method for Online Debate. - Chunkit Chan; Jiayang Cheng; Xin Liu 039; Yauwai Yim; Yuxin Jiang; Zheye Deng; Haoran Li 003; Yangqiu Song; Ginny Y. Wong; Simon See (ECAI, 2024)

GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields. - Xiufeng Huang; Ka Chun Cheung; Simon See; Renjie Wan (ECCV (9), 2024)

Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model. - Qi Song 003; Ziyuan Luo; Ka Chun Cheung; Simon See; Renjie Wan (ECCV (11), 2024)

Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation. - Zhehua Zhou; Jiayang Song; Xuan Xie; Zhan Shu; Lei Ma 003; Dikai Liu; Jianxiong Yin; Simon See (ICSE-SEIP, 2024)

Enhancing Modality Representation and Alignment for Multimodal Cold-start Active Learning. - Meng Shen 002; Yake Wei; Jianxiong (Terry) Yin; Deepu Rajan; Di Hu 001; Simon See (MMAsia, 2024)

Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images. - Qi Song 003; Ziyuan Luo; Ka Chun Cheung; Simon See; Renjie Wan (NeurIPS, 2024)

Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow. - Chen-Hao Chao; Chien Feng; Wei-Fang Sun; Cheng-Kuang Lee; Simon See; Chun-Yi Lee (NeurIPS, 2024)

GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting. - Xiufeng Huang; Ruiqi Li; Yiu-ming Cheung; Ka Chun Cheung; Simon See; Renjie Wan (NeurIPS, 2024)

GAIA-Chem: A Framework for Global AI-Accelerated Atmospheric Chemistry Modelling. - Jeff Adie; Cheng Siong Chin; Jichun Li 002; Simon See (PASC, 2024)

Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling. - Xiaoyu Shi 002; Zhaoyang Huang; Fu-Yun Wang; Weikang Bian; Dasong Li; Yi Zhang 108; Manyuan Zhang; Ka Chun Cheung; Simon See; Hongwei Qin; Jifeng Dai; Hongsheng Li 001 (SIGGRAPH (Conference Paper Track), 2024)

Designing a Usable Framework for Diverse Users in Synthetic Human Action Data Generation. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Joey Lim; Triston Chan Sheen; Simon See (SIGGRAPH Asia Technical Communications, 2024)

Towards Accelerating Physics Informed Graph Neural Network for Fluid Simulation. - Yidi Wang; Frank Guan; Malcolm Yoke Hean Low; Zhengkui Wang; Aik Beng Ng; Simon See (SIGGRAPH Asia Posters, 2024)

Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank. - Xingzhi Zhou 002; Zhiliang Tian; Ka Chun Cheung; Simon See; Nevin L. Zhang (CoRR, 2024)

cuTN-QSVM: cuTensorNet-accelerated Quantum Support Vector Machine with cuQuantum SDK. - Kuan-Cheng Chen; Tai-Yue Li; Yun-Yuan Wang; Simon See; Chun-Chieh Wang; Robert Wille; Nan-Yow Chen; An-Cheng Yang; Chun-Yu Lin 003 (CoRR, 2024)

Nutrition Estimation for Dietary Management: A Transformer Approach with Depth Sensing. - Zhengyi Kwan; Wei Zhang; Zhengkui Wang; Aik Beng Ng; Simon See (CoRR, 2024)

Masked Sensory-Temporal Attention for Sensor Generalization in Quadruped Locomotion. - Dikai Liu; Tianwei Zhang 004; Jianxiong Yin; Simon See (CoRR, 2024)

Persona Knowledge-Aligned Prompt Tuning Method for Online Debate. - Chunkit Chan; Cheng Jiayang; Xin Liu 039; Yauwai Yim; Yuxin Jiang; Zheye Deng; Haoran Li 003; Yangqiu Song; Ginny Y. Wong; Simon See (CoRR, 2024)

A General-Purpose Multimodal Foundation Model for Dermatology. - Siyuan Yan; Zhen Yu; Clare Primiero; Cristina Vico-Alonso; Zhonghua Wang; Litao Yang; Philipp Tschandl; Ming Hu; Gin Tan; Vincent Tang; Aik Beng Ng; David Powell; et al. (CoRR, 2024)

On-Device LLMs for SMEs: Challenges and Opportunities. - Jeremy Stephen Gabriel Yee; Pai Chet Ng; Zhengkui Wang; Ian McLoughlin; Aik Beng Ng; Simon See (CoRR, 2024)

Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing. - Roba Alsaigh; Rashid Mehmood; Iyad A. Katib; Xiaohui Liang 002; Abdullah Alshanqiti; Juan M. Corchado; Simon See (Frontiers Neuroinformatics, 2024)

Editorial: Protecting privacy in neuroimaging analysis: balancing data sharing and privacy preservation. - Rashid Mehmood; Mariana Lazar; Xiaohui Liang 002; Juan M. Corchado; Simon See (Frontiers Neuroinformatics, 2024)

Natural generative noise diffusion model imputation. - Ari Wibisono; Denny; Petrus Mursanto; Simon See (Knowl. Based Syst., 2024)

A multi-modal deep language model for contaminant removal from metagenome-assembled genomes. - Bohao Zou; Jingjing Wang; Yi Ding; Zhenmiao Zhang; Yufen Huang; Xiaodong Fang; Ka Chun Cheung; Simon See; Lu Zhang 061 (Nat. Mac. Intell., 2024)

Review on synergizing the Metaverse and AI-driven synthetic data: enhancing virtual realms and activity recognition in computer vision. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Simon See (Vis. Intell., 2024)

CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation. - Jun Wang 121; Abhir Bhalerao; Terry Yin; Simon See; Yulan He 001 (IEEE J. Biomed. Health Informatics, 2024)

Self-Supervised Video Representation Learning by Video Incoherence Detection. - Haozhi Cao; Yuecong Xu; Kezhi Mao; Lihua Xie 001; Jianxiong Yin; Simon See; Qianwen Xu 001; Jianfei Yang (IEEE Trans. Cybern., 2024)

M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving. - Xuesong Chen 001; Shaoshuai Shi; Tao Ma 002; Jingqiu Zhou; Simon See; Ka Chun Cheung; Hongsheng Li 001 (AAAI, 2025)

Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization. - Xingzhi Zhou 002; Zhiliang Tian; Boyang Zhang; Yibo Zhang; Ka Chun Cheung; Simon See; Hao Yang; Yun Zhou; Nevin L. Zhang (AAAI, 2025)

Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers. - Ruofei Wang; Hongzhan Lin 001; Ziyuan Luo; Ka Chun Cheung; Simon See; Jing Ma 004; Renjie Wan (AAAI, 2025)

Resilient Test-Time Adaptation by Mitigating Batch-Normalization Overfitting. - Xingzhi Zhou 002; Boyang Zhang; Zhiliang Tian; Yibo Zhang; Xin Niu 002; Ka Chun Cheung; Simon See; Nevin L. Zhang (ICASSP, 2025)

FedDrip: Federated Learning With Diffusion-Generated Synthetic Image. - Karin Huangsuwan; Timothy Liu; Simon See; Aik Beng Ng; Peerapon Vateekul (IEEE Access, 2025)

Leveraging physics-informed neural networks for efficient modelling of coastal ecosystems dynamics: A case study of Sundarbans mangrove forest. - Majdi Fanous; Jonathan M. Eden; Juntao Yang; Simon See; Vasile Palade; Alireza Daneshkhah (Ecol. Informatics, 2025)

Validating large-scale quantum machine learning: efficient simulation of quantum support vector machines using tensor networks. - Kuan-Cheng Chen; Tai-Yue Li; Yun-Yuan Wang; Simon See; Chun-Chieh Wang; Robert Wille; Nan-Yow Chen; An-Cheng Yang; Chun-Yu Lin 003 (Mach. Learn. Sci. Technol., 2025)

Feature-based Graph Attention Networks Improve Online Continual Learning. - Adjovi Sim; Zhengkui Wang; Aik Beng Ng; Shalini De Mello; Simon See; Wonmin Byeon (CoRR, 2025)

LogiDynamics: Unraveling the Dynamics of Logical Inference in Large Language Model Reasoning. - Tianshi Zheng; Jiayang Cheng; Chunyang Li; Haochen Shi; Zihao Wang 001; Jiaxin Bai; Yangqiu Song; Ginny Y. Wong; Simon See (CoRR, 2025)

CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints. - Xin Wang; Juntao Yang; Jeff Adie; Simon See; Kalli Furtado; Chen Chen; Troy Arcomano; Romit Maulik; Gianmarco Mengaldo (CoRR, 2025)

XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change. - Jiawen Wei 002; Aniruddha Bora; Vivek Oommen; Chenyu Dong; Juntao Yang; Jeff Adie; Chen Chen; Simon See; George E. Karniadakis; Gianmarco Mengaldo (CoRR, 2025)

Unified Locomotion Transformer with Simultaneous Sim-to-Real Transfer for Quadrupeds. - Dikai Liu; Tianwei Zhang 004; Jianxiong Yin; Simon See (CoRR, 2025)

Transforming Future Data Center Operations and Management via Physical AI. - Zhiwei Cao; Minghao Li 005; Feng Lin; Jimin Jia; Yonggang Wen 001; Jianxiong Yin; Simon See (CoRR, 2025)

The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning. - Tianshi Zheng; Yixiang Chen; Chengxi Li 021; Chunyang Li; Qing Zong; Haochen Shi; Baixuan Xu; Yangqiu Song; Ginny Y. Wong; Simon See (CoRR, 2025)

Continual Pre-Training is (not) What You Need in Domain Adaption. - Pin-Er Chen; Da-Chen Lian; Shu-Kai Hsieh; Sieh-Chuen Huang; Hsuan-Lei Shao; Jun-Wei Chiu; Yang-Hsien Lin; Zih-Ching Chen; Cheng-Kuang; Eddie TC Huang; Simon See (CoRR, 2025)

MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly. - Zhaowei Wang 003; Wenhao Yu 002; Xiyu Ren; Jipeng Zhang; Yu Zhao 043; Rohit Saxena; Liang Cheng; Ginny Y. Wong; Simon See; Pasquale Minervini; Yangqiu Song; Mark Steedman (CoRR, 2025)

XToM: Exploring the Multilingual Theory of Mind for Large Language Models. - Chunkit Chan; Yauwai Yim; Hongchuan Zeng; Zhiying Zou; Xinyuan Cheng; Zhifan Sun; Zheye Deng; Kawai Chung; Yuzhuo Ao; Yixiang Fan; Cheng Jiayang; Ercong Nie; et al. (CoRR, 2025)

Conceptualizing Multi-scale Wavelet Attention and Ray-based Encoding for Human-Object Interaction Detection. - Quan Bi Pay; Vishnu Monn Baskaran; Junn Yong Loo; KokSheik Wong; Simon See (CoRR, 2025)

SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition. - Quan Bi Pay; Vishnu Monn Baskaran; Junn Yong Loo; KokSheik Wong; Simon See (CoRR, 2025)

Stereo-GS: Multi-View Stereo Vision Model for Generalizable 3D Gaussian Splatting Reconstruction. - Xiufeng Huang; Ka Chun Cheung; Runmin Cong; Simon See; Renjie Wan (CoRR, 2025)