个人简介
曹毅超(Yichao Cao)，博士，特聘副教授，硕士生导师。在ICCV、NeurIPS、ICML、AAAI、ACMMM、ICCAD、DAC等高水平国际会议与期刊上发表论文20余篇，长期担任相关顶级会议和期刊的审稿人和程序委员会委员，授权专利10余项。
【研究方向】
※ 多模态大模型（VLM大模型的持续演化和能力优化）；
※ 具身智能（具身VTLA大模型的感知、记忆、泛化等）；
※ 包括但不限于其他有趣的方向；
【企业经历】
企业任职期间，主持林草行业首个多模态大模型“林海思绪(ForestMind)”的研发（大模型备案号：Jiangsu-LinHaiSiXu-202508130039），主持的“端-边-云协同林火识别引擎及一体化解决方案”获得国际先进成果评价，所主持研发的林火识别解决方案已成功应用于我国20多个省、60多个地市，大幅推动了林草行业智能化发展，建立了一批行业示范性项目，并参与起草了林草、应急行业的多项行业标准。
【近五年代表性论文】
CompTrack: Information Bottleneck‑Guided Low-Rank Dynamic Token Compression for Point Cloud Tracking. AAAI Conference on Artificial Intelligence (AAAI Oral, CCF A), 2026
FocusTrack: One-Stage Focus-and-Suppress Framework for 3D Point Cloud Object Tracking. ACM Multimedia (ACM MM, CCF A), 2025
Refining the Granularity of Smoke Representation: SAM-Powered Density-Aware Progressive Smoke Segmentation Framework. Pattern Recognition (PR, 中科院1区TOP), 2025
CounterPC: Counterfactual Feature Realignment for Unsupervised Domain Adaptation on Point Clouds. International Conference on Computer Vision (ICCV Highlight, CCF A), 2025
TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging. International Conference on Machine Learning (ICML, CCF A), 2025
Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging. AAAI Conference on Artificial Intelligence (AAAI, CCF A), 2025
A Novel Image-Graph Heterogeneous Fusion Framework for Static IR Drop Prediction. Design Automation Conference (DAC, CCF A), 2025
Variational Feature Imitation Conditioned on Visual Descriptions for Few-Shot Fine-Grained Recognition. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT, 中科院1区TOP), 2025
SmokeAgent: Multimodal Agent for Fine-Grained Smoke Event Analysis in Large-Scale Wild Environments. Pattern Recognition (PR, 中科院1区TOP), 2025
Debiased Prototype Evolving for Point Cloud Domain Adaptation via 3D Foundation Models. International Conference on Acoustics, Speech, and Signal Processing (ICASSP, CCF B), 2025
A Geometry-Material Aware Point Cloud Transformer for Large-scale Unstructured Thermal Analysis in 2.5D ICs. IEEE/ACM International Conference on Computer-Aided Design (ICCAD, CCF B), 2025
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models. Advances in Neural Information Processing Systems (NeurIPS, CCF A), 2024
Universal Frequency Domain Perturbation for Single-Source Domain Generalization. ACM Multimedia (ACM MM, CCF A), 2024
Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection. International Conference on Computer Vision (ICCV, CCF A), 2023
Coarse2Fine: Local Consistency Aware Re-prediction for Weakly Supervised Object Localization. AAAI Conference on Artificial Intelligence (AAAI, CCF A), 2023
Attributes Grouping and Mining Hashing for Fine-Grained Image Retrieval. ACM Multimedia (ACM MM, CCF A), 2023
Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition. Neural Information Processing Systems (NeurIPS, CCF A), 2022
EFFNet: Enhanced Feature Foreground Network for Video Smoke Source Prediction and Detection. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT, 中科院1区TOP), 2022
Combining the Convolution and Transformer for Classification of Smoke-Like Scenes in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS, 中科院1区TOP), 2022
【联系方式】
caoyichao@csu.edu.cn