Simon See

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 117

Top Venues

Publications

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
cuTN-QSVM: cuTensorNet-accelerated Quantum Support Vector Machine with cuQuantum SDK. CoRR (2024)
Haozhi Cao, Yuecong Xu, Kezhi Mao, Lihua Xie, Jianxiong Yin, Simon See, Qianwen Xu, Jianfei Yang
Self-Supervised Video Representation Learning by Video Incoherence Detection. IEEE Trans. Cybern. 54 (6) (2024)
Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan
Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model. CoRR (2024)
Zhaowei Wang, Wei Fan, Qing Zong, Hongming Zhang, Sehyun Choi, Tianqing Fang, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation. CoRR (2024)
Zhehua Zhou, Jiayang Song, Xuan Xie, Zhan Shu, Lei Ma, Dikai Liu, Jianxiong Yin, Simon See
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation. ICSE-SEIP (2024)
Zhengyi Kwan, Wei Zhang, Zhengkui Wang, Aik Beng Ng, Simon See
Nutrition Estimation for Dietary Management: A Transformer Approach with Depth Sensing. CoRR (2024)
Xiaoyu Shi, Zhaoyang Huang, Fu-Yun Wang, Weikang Bian, Dasong Li, Yi Zhang, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li
Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling. SIGGRAPH (Conference Paper Track) (2024)
Xingzhi Zhou, Zhiliang Tian, Ka Chun Cheung, Simon See, Nevin L. Zhang
Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank. CoRR (2024)
Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow. CoRR (2024)
Xiaoyu Shi, Zhaoyang Huang, Fu-Yun Wang, Weikang Bian, Dasong Li, Yi Zhang, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li
Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling. CoRR (2024)
Jun Wang, Abhir Bhalerao, Terry Yin, Simon See, Yulan He
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Zhaowei Wang, Wei Fan, Qing Zong, Hongming Zhang, Sehyun Choi, Tianqing Fang, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation. ACL (1) (2024)
Jeff Adie, Cheng Siong Chin, Jichun Li, Simon See
GAIA-Chem: A Framework for Global AI-Accelerated Atmospheric Chemistry Modelling. PASC (2024)
Xingzhi Zhou, Xin Dong, Chunhao Li, Yuning Bai, Yulong Xu, Ka Chun Cheung, Simon See, Xinpeng Song, Runshun Zhang, Xuezhong Zhou, Nevin L. Zhang
TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction. CoRR (2024)
Xiufeng Huang, Ka Chun Cheung, Simon See, Renjie Wan
GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields. CoRR (2024)
Zhaowei Wang, Quyet V. Do, Hongming Zhang, Jiayao Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective. CoRR (2023)
Megani Rajendran, Chek Tien Tan, Indriyati Atmosukarto, Aik Beng Ng, Zhihua Zhou, Andrew Grant, Simon See
SynthDa: Exploiting Existing Real-World Data for Usable and Accessible Synthetic Data Generation. SIGGRAPH Asia Technical Communications (2023)
Xiaoyu Shi, Zhaoyang Huang, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li
FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation. CVPR (2023)
Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan
CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields. ICCV (2023)
Dasong Li, Xiaoyu Shi, Yi Zhang, Ka Chun Cheung, Simon See, Xiaogang Wang, Hongwei Qin, Hongsheng Li
A Simple Baseline for Video Restoration with Grouped Spatial-Temporal Shift. CVPR (2023)
Chunkit Chan, Xin Liu, Tsz Ho Chan, Jiayang Cheng, Yangqiu Song, Ginny Y. Wong, Simon See
Self-Consistent Narrative Prompts on Abductive Natural Language Inference. IJCNLP (1) (2023)
Xuesong Chen, Shaoshuai Shi, Chao Zhang, Benjin Zhu, Qiang Wang, Ka Chun Cheung, Simon See, Hongsheng Li
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses. ICCV (2023)
Xiaoyu Shi, Zhaoyang Huang, Weikang Bian, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li
VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation. CoRR (2023)
Xiaoyu Shi, Zhaoyang Huang, Weikang Bian, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li
VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation. ICCV (2023)
Kai Yuan Chia, Cheng Siong Chin, Simon See
Deep Transfer Learning Application for Intelligent Marine Debris Detection. EANN (2023)
Xuesong Chen, Shaoshuai Shi, Chao Zhang, Benjin Zhu, Qiang Wang, Ka Chun Cheung, Simon See, Hongsheng Li
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses. CoRR (2023)
Zihao Wang, Weizhi Fei, Hang Yin, Yangqiu Song, Ginny Y. Wong, Simon See
Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport. CoRR (2023)
Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu
Learning Gabor Texture Features for Fine-Grained Recognition. ICCV (2023)
Qing Zong, Zhaowei Wang, Baixuan Xu, Tianshi Zheng, Haochen Shi, Weiqi Wang, Yangqiu Song, Ginny Y. Wong, Simon See
TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining. ArgMining@EMNLP (2023)
Qing Zong, Zhaowei Wang, Baixuan Xu, Tianshi Zheng, Haochen Shi, Weiqi Wang, Yangqiu Song, Ginny Y. Wong, Simon See
TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining. CoRR (2023)
Zhehua Zhou, Jiayang Song, Xuan Xie, Zhan Shu, Lei Ma, Dikai Liu, Jianxiong Yin, Simon See
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation. CoRR (2023)
Huaizheng Zhang, Yuanming Li, Wencong Xiao, Yizheng Huang, Xing Di, Jianxiong Yin, Simon See, Yong Luo, Chiew Tong Lau, Yang You
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs. CoRR (2023)
Chunkit Chan, Xin Liu, Jiayang Cheng, Zihan Li, Yangqiu Song, Ginny Y. Wong, Simon See
DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition. ACL (Findings) (2023)
Jeff Adie, Terry Yin, Stan Posey, Simon See
Reducing the Carbon Footprint of Ensemble Weather Forecasting with GPUs. TENCON (2023)
Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu
Learning Gabor Texture Features for Fine-Grained Recognition. CoRR (2023)
Sixing Yan, William K. Cheung, Wan Hang Keith Chiu, Terence M. Tong, Ka Chun Cheung, Simon See
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation. IEEE Trans. Medical Imaging 42 (8) (2023)
Zhaowei Wang, Quyet V. Do, Hongming Zhang, Jiayao Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective. ACL (1) (2023)
Megani Rajendran, Chek Tien Tan, Indriyati Atmosukarto, Aik Beng Ng, Andrew Grant, Eric Cameracci, Simon See
Exploring Domain Randomization's Effect on Synthetic Data for Activity Detection. MetaCom (2023)
Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning. CoRR (2023)
Xiaoyu Shi, Zhaoyang Huang, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li
FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation. CoRR (2023)
Zihao Wang, Yangqiu Song, Ginny Y. Wong, Simon See
Logical Message Passing Networks with One-hop Inference on Atomic Formulas. ICLR (2023)
Tak Shing Au Yeung, Ka Chun Cheung, Michael K. Ng, Simon See, Andy M. Yip
Transfer Learning With Singular Value Decomposition of Multichannel Convolution Matrices. Neural Comput. 35 (10) (2023)
Meng Shen, Yizheng Huang, Jianxiong Yin, Heqing Zou, Deepu Rajan, Simon See
Towards Balanced Active Learning for Multimodal Classification. ACM Multimedia (2023)
Chunkit Chan, Xin Liu, Jiayang Cheng, Zihan Li, Yangqiu Song, Ginny Y. Wong, Simon See
DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition. CoRR (2023)
Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. AAAI (2023)
Rohan Joseph, Timothy Liu, Aik Beng Ng, Simon See, Sunny Rai
NewsMet : A 'do it all' Dataset of Contemporary Metaphors in News Headlines. ACL (Findings) (2023)
Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan
CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields. CoRR (2023)
Meng Shen, Yizheng Huang, Jianxiong Yin, Heqing Zou, Deepu Rajan, Simon See
Towards Balanced Active Learning for Multimodal Classification. CoRR (2023)
Wenpeng Xing, Jie Chen, Ka Chun Cheung, Simon See
IRCasTRF: Inverse Rendering by Optimizing Cascaded Tensorial Radiance Fields, Lighting, and Materials From Multi-view Images. ACM Multimedia (2023)
Zihao Wang, Yangqiu Song, Ginny Y. Wong, Simon See
Logical Message Passing Networks with One-hop Inference on Atomic Formulas. CoRR (2023)
Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning. J. Mach. Learn. Res. 24 (2023)
Zihao Wang, Weizhi Fei, Hang Yin, Yangqiu Song, Ginny Y. Wong, Simon See
Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport. ACL (Findings) (2023)
Alagappa Pragash Natarajan, Cheng Siong Chin, Simon See
Fault Sound Detection of Marine Pump Under Uncertainties Using Convolutional Neural Network. DSIT (2023)
Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu
Continual Semantic Segmentation with Automatic Memory Sample Selection. CVPR (2023)
Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu
Continual Semantic Segmentation with Automatic Memory Sample Selection. CoRR (2023)
Chunkit Chan, Xin Liu, Tsz Ho Chan, Jiayang Cheng, Yangqiu Song, Ginny Y. Wong, Simon See
Self-Consistent Narrative Prompts on Abductive Natural Language Inference. CoRR (2023)
Megani Rajendran, Chek Tien Tan, Indriyati Atmosukarto, Aik Beng Ng, Simon See
Towards a HOI application for digital home assistants. ISMAR Adjunct (2022)
Tianqing Fang, Quyet V. Do, Hongming Zhang, Yangqiu Song, Ginny Y. Wong, Simon See
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population. EMNLP (Findings) (2022)
Tsung-Ming Tai, Oswald Lanz, Giuseppe Fiameni, Yi-Kwan Wong, Sze-Sen Poon, Cheng-Kuang Lee, Ka-Chun Cheung, Simon See
NVIDIA-UNIBZ Submission for EPIC-KITCHENS-100 Action Anticipation Challenge 2022. CoRR (2022)
Cheng Siong Chin, Simon See
Max Fusing Gated Recurrent Units and Ensemble Classifier for Intelligent Acoustic Classification. ICIS (2022)
Sixing Yan, William K. Cheung, Keith Chiu, Terence M. Tong, Charles K. Cheung, Simon See
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation. CoRR (2022)
Huiru Xiao, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See
Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform. CoRR (2022)
Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee, Simon See, Oswald Lanz
Inductive Attention for Video Action Anticipation. CoRR (2022)
Zhaowei Wang, Hongming Zhang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See
SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller. CoRR (2022)
Dikai Liu, Tianwei Zhang, Jianxiong Yin, Simon See
Saving the Limping: Fault-tolerant Quadruped Locomotion via Reinforcement Learning. CoRR (2022)
Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. CoRR (2022)
Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee, Simon See, Oswald Lanz
Unified Recurrence Modeling for Video Action Anticipation. ICPR (2022)
Cheng Siong Chin, Aloysius Bo Hui Neo, Simon See
Visual Marine Debris Detection using Yolov5s for Autonomous Underwater Vehicle. ICIS (2022)
Tianqing Fang, Quyet V. Do, Hongming Zhang, Yangqiu Song, Ginny Y. Wong, Simon See
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population. CoRR (2022)
Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee, Simon See, Oswald Lanz
Unified Recurrence Modeling for Video Action Anticipation. CoRR (2022)
Jun Wang, Abhir Bhalerao, Terry Yin, Simon See, Yulan He
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation. CoRR (2022)
Zhaowei Wang, Hongming Zhang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See
SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller. EMNLP (2022)
Huiru Xiao, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See
Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform. EMNLP (2022)
Megani Rajendran, Chek Tien Tan, Indriyati Atmosukarto, Aik Beng Ng, Simon See
SynDa: A Novel Synthetic Data Generation Pipeline for Activity Recognition. ISMAR Adjunct (2022)
Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Lihua Xie, Jianxiong Yin, Simon See
Self-Supervised Video Representation Learning by Video Incoherence Detection. CoRR (2021)
Pengfei Li, Peixiang Zhong, Kezhi Mao, Dongzhe Wang, Xuefeng Yang, Yunfeng Liu, Jianxiong Yin, Simon See
ACT: an Attentive Convolutional Transformer for Efficient Text Classification. AAAI (2021)
Yi-Chen Chen, Shu-Wen Yang, Cheng-Kuang Lee, Simon See, Hung-yi Lee
Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning. CoRR (2021)
Qingyi Tao, Chen Change Loy, Jianfei Cad, ZongYuan Get, Simon See
Retrospective Class Incremental Learning. ICME (2021)
Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
Effective action recognition with embedded key point shifts. Pattern Recognit. 120 (2021)
Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
Exploiting inter-frame regional correlation for efficient action recognition. Expert Syst. Appl. 178 (2021)
Simon See, Jeff Adie
Challenges and opportunities for a hybrid modelling approach to earth system science. CCF Trans. High Perform. Comput. 3 (3) (2021)
Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See
Aligning Correlation Information for Domain Adaptation in Action Recognition. CoRR (2021)
Yuecong Xu, Haozhi Cao, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
PNL: Efficient long-range dependencies extraction with pyramid non-local module for action recognition. Neurocomputing 447 (2021)
Ka Chun Cheung, Simon See
Recent advance in machine learning for partial differential equation. CCF Trans. High Perform. Comput. 3 (3) (2021)
Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See
ARID: A New Dataset for Recognizing Action in the Dark. CoRR (2020)
Zhangsheng Lai, Aik Beng Ng, Liang Ze Wong, Simon See, Shaowei Lin
Dependently Typed Knowledge Graphs. CoRR (2020)
Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
Effective Action Recognition with Embedded Key Point Shifts. CoRR (2020)
Yuecong Xu, Haozhi Cao, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
PNL: Efficient Long-Range Dependencies Extraction with Pyramid Non-Local Module for Action Recognition. CoRR (2020)
Tak Shing Au Yeung, Eric T. Chung, Simon See
A deep learning based nonlinear upscaling method for transport equations. CoRR (2020)
Frédéric Pinel, Jianxiong Yin, Christian Hundt, Emmanuel Kieffer, Sébastien Varrette, Pascal Bouvry, Simon See
Evolving a Deep Neural Network Training Time Estimator. OLA (2020)
Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition. CoRR (2020)
Mengdi Li, Eugene Ch'ng, Alain Yee-Loong Chong, Simon See
An empirical analysis of emoji usage on Twitter. Ind. Manag. Data Syst. 119 (8) (2019)
Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, Simon See
DeepHunter: a coverage-guided fuzz testing framework for deep neural networks. ISSTA (2019)
Qingyi Tao, Zongyuan Ge, Jianfei Cai, Jianxiong Yin, Simon See
Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention. MICCAI (6) (2019)
Qingyi Tao, Zongyuan Ge, Jianfei Cai, Jianxiong Yin, Simon See
Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention. CoRR (2019)
Hong-liang Sun, Eugene Ch'ng, Simon See
Influential spreaders in the political Twitter sphere of the 2013 Malaysian general election. Ind. Manag. Data Syst. 119 (1) (2019)
Shaohuai Shi, Xiaowen Chu, Ka Chun Cheung, Simon See
Understanding Top-k Sparsification in Distributed Deep Learning. CoRR (2019)
Chun-Yu Lin, Peiying Ruan, Ruiming Li, Jinn-Moon Yang, Simon See, Jiangning Song, Tatsuya Akutsu
Deep learning with evolutionary and genomic profiles for identifying cancer subtypes. J. Bioinform. Comput. Biol. 17 (3) (2019)
Chun-Yu Lin, Peiying Ruan, Ruiming Li, Jinn-Moon Yang, Simon See, Tatsuya Akutsu
Deep Learning with Evolutionary and Genomic Profiles for Identifying Cancer Subtypes. BIBE (2018)
Lei Ma, Felix Juefei-Xu, Minhui Xue, Qiang Hu, Sen Chen, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See
Secure Deep Learning Engineering: A Software Quality Assurance Perspective. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Simon See