See, Simon

30 publications

ICLR 2026 CP-Agent: Context‑Aware Multimodal Reasoning for Cellular Morphological Profiling Under Chemical Perturbations Yuxin Zhang, Yiyao Li, Ping Shu Ho, Simon See, Zhenqin Wu, Kevin Kin-Man Tsia

ICLR 2026 Learning Self-Critiquing Mechanisms for Region-Guided Chest X-Ray Report Generation Sixing Yan, Ziao Wang, Kejing Yin, William K. Cheung, Ka Chun Cheung, Simon See

ICLR 2026 NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents Tianshi Zheng, Kelvin Kiu Wai Tam, Newt Nguyen Kim Hue Nam, Baixuan Xu, Zhaowei Wang, Cheng Jiayang, Hong Ting Tsang, Weiqi Wang, Jiaxin Bai, Tianqing Fang, Yangqiu Song, Ginny Wong, Simon See

ACML 2025 Continual Pre-Training Is (not) What You Need in Domain Adaptation 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 Lee, Eddie Tzungchi Huang, Simon See

NeurIPS 2025 ImageSentinel: Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation Ziyuan Luo, Yangyi Zhao, Ka Chun Cheung, Simon See, Renjie Wan

AAAI 2025 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

NeurIPS 2025 MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly Zhaowei Wang, Wenhao Yu, Xiyu Ren, Jipeng Zhang, Yu Zhao, Rohit Saxena, Liang Cheng, Ginny Wong, Simon See, Pasquale Minervini, Yangqiu Song, Mark Steedman

AAAI 2025 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

AAAI 2025 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

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

CVPR 2024 AHIVE: Anatomy-Aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval Sixing Yan, William K. Cheung, Ivor W. Tsang, Keith Chiu, 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

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 Geometry Cloak: Preventing TGS-Based 3D Reconstruction from Copyrighted Images Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan

ECCV 2024 GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields Xiufeng Huang, 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

ECCV 2024 Protecting NeRFs' Copyright via Plug-and-Play Watermarking Base Model Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan

CVPR 2023 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

JMLR 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

CVPR 2023 Continual Semantic Segmentation with Automatic Memory Sample Selection Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu

ICCV 2023 CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan

CVPR 2023 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

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

ICLR 2023 Logical Message Passing Networks with One-Hop Inference on Atomic Formulas Zihao Wang, Yangqiu Song, Ginny Wong, Simon See

AAAI 2023 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

ICCV 2023 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

ICCV 2023 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

AAAI 2021 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

CVPR 2018 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

ECCV 2016 Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks Jinghua Wang, Zhenhua Wang, Dacheng Tao, Simon See, Gang Wang