| 2026 | ACL | 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, Ginny Y. Wong, Helmut Schmid, Hinrich Schtze, Simon See, Yangqiu Song |
| 2026 | ACL | IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning. | Navya Gupta, Rishitej Reddy Vyalla, Avinash Anand, Chhavi Kirtani, Erik Cambria, Zhengchen Zhang, Zhengkui Wang, Timothy Liu, Aik Beng Ng, Simon See, Rajiv Ratn Shah |
| 2025 | AAAI | M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving. | Xuesong Chen, Shaoshuai Shi, Tao Ma, Jingqiu Zhou, Simon See, Ka Chun Cheung, Hongsheng Li |
| 2025 | AAAI | Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization. | Xingzhi Zhou, Zhiliang Tian, Boyang Zhang, Yibo Zhang, Ka Chun Cheung, Simon See, Hao Yang, Yun Zhou, Nevin L. Zhang |
| 2025 | AAAI | Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers. | Ruofei Wang, Hongzhan Lin, Ziyuan Luo, Ka Chun Cheung, Simon See, Jing Ma, Renjie Wan |
| 2025 | CW | A Lightweight Method for Generating Precise Number of 3D Object Instances from Text Prompts. | Jin Qi Yeo, Kan Chen, Aik Beng Ng, Simon See, Frank Guan |
| 2025 | EMNLP | LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning. | Tianshi Zheng, Cheng Jiayang, Chunyang Li, Haochen Shi, Zihao Wang, Jiaxin Bai, Yangqiu Song, Ginny Y. Wong, Simon See |
| 2025 | ICASSP | Resilient Test-Time Adaptation by Mitigating Batch-Normalization Overfitting. | Xingzhi Zhou, Boyang Zhang, Zhiliang Tian, Yibo Zhang, Xin Niu, Ka Chun Cheung, Simon See, Nevin L. Zhang |
| 2025 | ICRA | Masked Sensory-Temporal Attention for Sensor Generalization in Quadruped Locomotion. | Dikai Liu, Tianwei Zhang, Jianxiong Yin, Simon See |
| 2025 | IJCNN | 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 |
| 2025 | IJCNN | SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition. | Quan Bi Pay, Vishnu Monn Baskaran, Junn Yong Loo, KokSheik Wong, Simon See |
| 2025 | IROS | Unified Locomotion Transformer with Simultaneous Sim-to-Real Transfer for Quadrupeds. | Dikai Liu, Tianwei Zhang, Jianxiong Yin, Simon See |
| 2025 | SiggraphA | Simulating 3D Thermal Fluid Dynamics in Data Centers with Soft-Constrained Physics-Informed Graph Neural Network. | Yidi Wang, Aik Beng Ng, Simon See, Daniel Wang, Frank Guan |
| 2024 | ACL | AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation. | Zhaowei Wang, Wei Fan, Qing Zong, Hongming Zhang, Sehyun Choi, Tianqing Fang, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See |
| 2024 | CVPR | AHIVE: Anatomy-Aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval. | Sixing Yan, William K. Cheung, Ivor W. Tsang, Wan Hang Keith Chiu, Terence M. Tong, Ka Chun Cheung, Simon See |
| 2024 | CVPR | Addressing Background Context Bias in Few-Shot Segmentation Through Iterative Modulation. | Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu |
| 2024 | ECAI | Audience Persona Knowledge-Aligned Prompt Tuning Method for Online Debate. | Chunkit Chan, Jiayang Cheng, Xin Liu, Yauwai Yim, Yuxin Jiang, Zheye Deng, Haoran Li, Yangqiu Song, Ginny Y. Wong, Simon See |
| 2024 | ECCV | GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields. | Xiufeng Huang, Ka Chun Cheung, Simon See, Renjie Wan |
| 2024 | ECCV | Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model. | Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan |
| 2024 | ICSE | 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, Dikai Liu, Jianxiong Yin, Simon See |
| 2024 | SIGGRAPH | Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling. | 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 |
| 2024 | SiggraphA | 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 |
| 2024 | SiggraphA | 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 |
| 2023 | AAAI | NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. | Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu |
| 2023 | ACL | COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective. | Zhaowei Wang, Quyet V. Do, Hongming Zhang, Jiayao Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See |
| 2023 | ACL | DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition. | Chunkit Chan, Xin Liu, Jiayang Cheng, Zihan Li, Yangqiu Song, Ginny Y. Wong, Simon See |
| 2023 | ACL | NewsMet : A 'do it all' Dataset of Contemporary Metaphors in News Headlines. | Rohan Joseph, Timothy Liu, Aik Beng Ng, Simon See, Sunny Rai |
| 2023 | ACL | Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport. | Zihao Wang, Weizhi Fei, Hang Yin, Yangqiu Song, Ginny Y. Wong, Simon See |
| 2023 | CVPR | 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 | CVPR | 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 | CVPR | Continual Semantic Segmentation with Automatic Memory Sample Selection. | Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu |
| 2023 | EANN | Deep Transfer Learning Application for Intelligent Marine Debris Detection. | Kai Yuan Chia, Cheng Siong Chin, Simon See |
| 2023 | ICCV | TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses. | Xuesong Chen, Shaoshuai Shi, Chao Zhang, Benjin Zhu, Qiang Wang, Ka Chun Cheung, Simon See, Hongsheng Li |
| 2023 | ICCV | CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields. | Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan |
| 2023 | ICCV | 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 | ICCV | Learning Gabor Texture Features for Fine-Grained Recognition. | Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu |
| 2023 | ICLR | Logical Message Passing Networks with One-hop Inference on Atomic Formulas. | Zihao Wang, Yangqiu Song, Ginny Y. Wong, Simon See |
| 2023 | IJCNLP | Self-Consistent Narrative Prompts on Abductive Natural Language Inference. | Chunkit Chan, Xin Liu, Tsz Ho Chan, Jiayang Cheng, Yangqiu Song, Ginny Y. Wong, Simon See |
| 2023 | SiggraphA | 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 |
| 2023 | Tencon | Reducing the Carbon Footprint of Ensemble Weather Forecasting with GPUs. | Jeff Adie, Terry Yin, Stan Posey, Simon See |
| 2022 | EMNLP | PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population. | Tianqing Fang, Quyet V. Do, Hongming Zhang, Yangqiu Song, Ginny Y. Wong, Simon See |
| 2022 | EMNLP | SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller. | Zhaowei Wang, Hongming Zhang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See |
| 2022 | EMNLP | Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform. | Huiru Xiao, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See |
| 2022 | ICPR | Unified Recurrence Modeling for Video Action Anticipation. | Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee, Simon See, Oswald Lanz |
| 2022 | ISMAR | SynDa: A Novel Synthetic Data Generation Pipeline for Activity Recognition. | Megani Rajendran, Chek Tien Tan, Indriyati Atmosukarto, Aik Beng Ng, Simon See |
| 2022 | ISMAR | Towards a HOI application for digital home assistants. | Megani Rajendran, Chek Tien Tan, Indriyati Atmosukarto, Aik Beng Ng, Simon See |
| 2021 | AAAI | 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 |
| 2019 | ISSTA | 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 |
| 2019 | MICCAI | Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention. | Qingyi Tao, Zongyuan Ge, Jianfei Cai, Jianxiong Yin, Simon See |
| 2018 | BIBE | Deep Learning with Evolutionary and Genomic Profiles for Identifying Cancer Subtypes. | Chun-Yu Lin, Peiying Ruan, Ruiming Li, Jinn-Moon Yang, Simon See, Tatsuya Akutsu |
| 2018 | CVPR | Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks. | Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan |
| 2018 | ICPADS | Optimizing Deep Learning Frameworks Incrementally to Get Linear Speedup: A Comparison Between IPoIB and RDMA Verbs. | Chang Liu, Jianwen Wei, Yichao Wang, Minhua Wen, Simon See, James Lin |
| 2017 | SmartComp | CRNN: A Joint Neural Network for Redundancy Detection. | Xinyu Fu, Eugene Ch'ng, Uwe Aickelin, Simon See |
| 2016 | ECCV | Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks. | Jinghua Wang, Zhenhua Wang, Dacheng Tao, Simon See, Gang Wang |
| 2016 | PDCAT | Performance and Portability Studies with OpenACC Accelerated Version of GTC-P. | Yueming Wei, Yichao Wang, Linjin Cai, William M. Tang, Bei Wang, Stphane Ethier, Simon See, James Lin |
| 2015 | CCGRID | An Evaluation of Unified Memory Technology on NVIDIA GPUs. | Wenqiang Li, Guanghao Jin, Xuewen Cui, Simon See |
| 2014 | PDCAT | Gravitational Search Algorithm Using CUDA. | Amirreza Zarrabi, Ettikan Kandasamy Karuppiah, Keh Kok Yong, Ngo Chuan Hai, Simon See |
| 2011 | ICPP | Understanding Off-Chip Memory Contention of Parallel Programs in Multicore Systems. | Bogdan Marius Tudor, Yong Meng Teo, Simon See |
| 2009 | CLUSTER | Data mining analysis to validate performance tuning practices for HPL. | Tuan Zea Tan, Rick Siow Mong Goh, Verdi March, Simon See |
| 2009 | HPCC | Towards Predictive Modeling of Message-Passing Communication. | Verdi March, Vijayaraghavan Murali, Yong Meng Teo, Simon See, James T. Himer |
| 2009 | WSC | A Time-based Formalism for the Validation of Semantic Composability. | Claudia Szabo, Yong Meng Teo, Simon See |
| 2008 | HPCC | Grid Discovery Zone: Virtualization for Exploiting Easy-Management and High-Utilization in Grid. | Yuxin Tang, Ruihua Zhang, Simon See, Che Cheung, Chi-Hung Chan |
| 2008 | NPC | Survey on Parallel Programming Model. | Henry Kasim, Verdi March, Rita Zhang, Simon See |
| 2006 | CCGRID | Service Registry Discovery using GridSearch P2P Framework. | Melvin Koh, Jie Song, Liang Peng, Simon See |
| 2006 | CCGRID | A Co-ordinate Based Resource Allocation Strategy for Grid Environments. | Benjamin Khoo Boon Tat, Bharadwaj Veeravalli, Terence Hung, Simon See |
| 2005 | ICA3PP | Performance Monitoring for Distributed Service Oriented Grid Architecture. | Liang Peng, Melvin Koh, Jie Song, Simon See |
| 2005 | LCN | 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 |
| 2004 | PDCAT | Agent-Mediated Genetic Super-Scheduling in Grid Environments. | Gang Chen, Zhonghua Yang, Simon See, Jie Song |
| 2004 | PDCAT | Scheduler Oriented Grid Performance Evaluation. | Liang Peng, Simon See |
| 2004 | PDCAT | Investigating Super Scheduling Algorithms for Grid Computing: A Simulation Approach. | Jie Song, Zhonghua Yang, Simon See |
| 2003 | CW | DPBP: A Sort-First Parallel Rendering Algorithm for Distributed Rendering Environments. | Huabing Zhu, Kai-Yun Chan, Lizhe Wang, Wentong Cai, Simon See |
| 2003 | PDPTA | Resource Co-Allocation for Meta-Task in Computational Grids. | Lizhe Wang, Wentong Cai, Bu-Sung Lee, Simon See, Wei Jie |