Security Enhanced to GSI: An Integrated Framework with a Mechanism. - Baoliang Zhang; Hanping Hu; Xiaogang Wu; Tao Kong (GCC Workshops, 2004)

Gold-Based Nanoparticles for Breast Cancer Diagnosis and Treatment. - James Xing; Jie Zeng; Jing Yang; Tao Kong; Tao Xu; Wilson Roa; Xiaoping Wang; Jie Chen 002 (ISCAS, 2007)

A hierarchical classification method for finger knuckle print recognition. - Tao Kong; Gongping Yang; Lu Yang 005 (EURASIP J. Adv. Signal Process., 2014)

A new finger-knuckle-print ROI extraction method based on probabilistic region growing algorithm. - Tao Kong; Gongping Yang; Lu Yang 005 (Int. J. Mach. Learn. Cybern., 2014)

HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection. - Tao Kong; Anbang Yao; Yurong Chen 001; Fuchun Sun 001 (CVPR, 2016)

Object discovery and grasp detection with a shared convolutional neural network. - Di Guo; Tao Kong; Fuchun Sun 001; Huaping Liu 001 (ICRA, 2016)

RON: Reverse Connection with Objectness Prior Networks for Object Detection. - Tao Kong; Fuchun Sun 001; Anbang Yao; Huaping Liu 001; Ming Lu; Yurong Chen 001 (CVPR, 2017)

A hybrid deep architecture for robotic grasp detection. - Di Guo; Fuchun Sun 001; Huaping Liu 001; Tao Kong; Bin Fang 003; Ning Xi 001 (ICRA, 2017)

Deep Feature Pyramid Reconfiguration for Object Detection. - Tao Kong; Fuchun Sun 001; Wen-bing Huang 001; Huaping Liu 001 (ECCV (5), 2018)

Electroencephalography Classification in Brain-Computer Interface with Manifold Constraints Transfer. - Chuanqi Tan; Fuchun Sun 001; Wenchang Zhang; Tao Kong (EMBC, 2018)

A Survey on Deep Transfer Learning. - Chuanqi Tan; Fuchun Sun 001; Tao Kong; Wenchang Zhang; Chao Yang 026; Chunfang Liu (ICANN (3), 2018)

Adaptive Adversarial Transfer Learning for Electroencephalography Classification. - Chuanqi Tan; Fuchun Sun 001; Wenchang Zhang; Tao Kong; Chao Yang 026; Xinyu Zhang 001 (IJCNN, 2018)

Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination. - Liangzhe Yuan; Yibo Chen; Hantian Liu; Tao Kong; Jianbo Shi (CVPR, 2019)

Attention-based Transfer Learning for Brain-computer Interface. - Chuanqi Tan; Fuchun Sun 001; Tao Kong; Bin Fang 003; Wenchang Zhang (ICASSP, 2019)

Deep Point-Wise Prediction for Action Temporal Proposal. - Luxuan Li; Tao Kong; Fuchun Sun 001; Huaping Liu 001 (ICONIP (3), 2019)

Air Quality Predictive Modeling Based on an Improved Decision Tree in a Weather-Smart Grid. - Yuanni Wang; Tao Kong (IEEE Access, 2019)

Consistent Optimization for Single-Shot Object Detection. - Tao Kong; Fuchun Sun 001; Huaping Liu 001; Yuning Jiang 001; Jianbo Shi (CoRR, 2019)

FoveaBox: Beyond Anchor-based Object Detector. - Tao Kong; Fuchun Sun 001; Huaping Liu 001; Yuning Jiang 001; Jianbo Shi (CoRR, 2019)

Feature Pyramid Reconfiguration With Consistent Loss for Object Detection. - Fuchun Sun 001; Tao Kong; Wen-bing Huang 001; Chuanqi Tan; Bin Fang 003; Huaping Liu 001 (IEEE Trans. Image Process., 2019)

Task-Aware Monocular Depth Estimation for 3D Object Detection. - Xinlong Wang; Wei Yin 006; Tao Kong; Yuning Jiang 001; Lei Li 005; Chunhua Shen (AAAI, 2020)

Near-duplicated Loss for Accurate Object Localization. - He Liu; Xiaocheng Yang; Huaping Liu 001; Tao Kong; Fuchun Sun 001 (DSAA, 2020)

SOLO: Segmenting Objects by Locations. - Xinlong Wang; Tao Kong; Chunhua Shen; Yuning Jiang 001; Lei Li 005 (ECCV (18), 2020)

SOLOv2: Dynamic and Fast Instance Segmentation. - Xinlong Wang; Rufeng Zhang; Tao Kong; Lei Li 005; Chunhua Shen (NeurIPS, 2020)

SOLOv2: Dynamic, Faster and Stronger. - Xinlong Wang; Rufeng Zhang; Tao Kong; Lei Li 005; Chunhua Shen (CoRR, 2020)

TransTrack: Multiple-Object Tracking with Transformer. - Peize Sun; Yi Jiang 004; Rufeng Zhang; Enze Xie; Jinkun Cao; Xinting Hu; Tao Kong; Zehuan Yuan; Changhu Wang; Ping Luo 002 (CoRR, 2020)

FoveaBox: Beyound Anchor-Based Object Detection. - Tao Kong; Fuchun Sun 001; Huaping Liu 001; Yuning Jiang 001; Lei Li 005; Jianbo Shi (IEEE Trans. Image Process., 2020)

Scale-Aware Automatic Augmentation for Object Detection. - Yukang Chen; Yanwei Li; Tao Kong; Lu Qi; Ruihang Chu; Lei Li 005; Jiaya Jia (CVPR, 2021)

Locate Then Segment: A Strong Pipeline for Referring Image Segmentation. - Ya Jing; Tao Kong; Wei Wang 115; Liang Wang 001; Lei Li 005; Tieniu Tan (CVPR, 2021)

Sparse R-CNN: End-to-End Object Detection With Learnable Proposals. - Peize Sun; Rufeng Zhang; Yi Jiang 004; Tao Kong; Chenfeng Xu; Wei Zhan; Masayoshi Tomizuka; Lei Li 005; Zehuan Yuan; Changhu Wang; Ping Luo 002 (CVPR, 2021)

Dense Contrastive Learning for Self-Supervised Visual Pre-Training. - Xinlong Wang; Rufeng Zhang; Chunhua Shen; Tao Kong; Lei Li 005 (CVPR, 2021)

Adversarial Option-Aware Hierarchical Imitation Learning. - Mingxuan Jing; Wenbing Huang 001; Fuchun Sun 001; Xiaojian Ma 001; Tao Kong; Chuang Gan 001; Lei Li 005 (ICML, 2021)

Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation. - Yiming Li; Tao Kong; Ruihang Chu; Yifeng Li; Peng Wang 024; Lei Li 005 (IROS, 2021)

Learning to Design and Construct Bridge without Blueprint. - Yunfei Li 005; Tao Kong; Lei Li 005; Yifeng Li; Yi Wu 013 (IROS, 2021)

Self-Supervised Learning by Estimating Twin Class Distributions. - Feng Wang 034; Tao Kong; Rufeng Zhang; Huaping Liu 001; Hang Li (CoRR, 2021)

iBOT: Image BERT Pre-Training with Online Tokenizer. - Jinghao Zhou; Chen Wei 005; Huiyu Wang; Wei Shen 002; Cihang Xie; Alan L. Yuille; Tao Kong (CoRR, 2021)

Generative Category-Level Shape and Pose Estimation with Semantic Primitives. - Guanglin Li 005; Yifeng Li; Zhichao Ye; Qihang Zhang; Tao Kong; Zhaopeng Cui; Guofeng Zhang 001 (CoRL, 2022)

Towards Unifying Reference Expression Generation and Comprehension. - Duo Zheng; Tao Kong; Ya Jing; Jiaan Wang; Xiaojie Wang 006 (EMNLP, 2022)

Image BERT Pre-training with Online Tokenizer. - Jinghao Zhou; Chen Wei 005; Huiyu Wang; Wei Shen 002; Cihang Xie; Alan L. Yuille; Tao Kong (ICLR, 2022)

Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets. - Yunfei Li 005; Tao Kong; Lei Li 005; Yi Wu 013 (ICRA, 2022)

Navigating to Objects in Unseen Environments by Distance Prediction. - Minzhao Zhu; Binglei Zhao; Tao Kong (IROS, 2022)

SOLO: A Simple Framework for Instance Segmentation. - Xinlong Wang; Rufeng Zhang; Chunhua Shen; Tao Kong; Lei Li 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Mask encoding: A general instance mask representation for object segmentation. - Rufeng Zhang; Tao Kong; Xinlong Wang; Mingyu You (Pattern Recognit., 2022)

ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation. - Ruihang Chu; Yukang Chen; Tao Kong; Lu Qi; Lei Li 005 (IEEE Robotics Autom. Lett., 2022)

3D Part Assembly Generation With Instance Encoded Transformer. - Rufeng Zhang; Tao Kong; Weihao Wang; Xuan Han; Mingyu You (IEEE Robotics Autom. Lett., 2022)

Learning to Explore Informative Trajectories and Samples for Embodied Perception. - Ya Jing; Tao Kong (ICRA, 2023)

Towards Open-World Interactive Disambiguation for Robotic Grasping. - Yuchen Mo; Hanbo Zhang; Tao Kong (ICRA, 2023)

Exploring Visual Pre-training for Robot Manipulation: Datasets, Models and Methods. - Ya Jing; Xuelin Zhu; Xingbin Liu; Qie Sima; Taozheng Yang; Yunhai Feng; Tao Kong (IROS, 2023)

MOMA-Force: Visual-Force Imitation for Real-World Mobile Manipulation. - Taozheng Yang; Ya Jing; Hongtao Wu; Jiafeng Xu; Kuankuan Sima; Guangzeng Chen; Qie Sima; Tao Kong (IROS, 2023)

What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? - Yan Zeng; Hanbo Zhang; Jiani Zheng; Jiangnan Xia; Guoqiang Wei; Yang Wei; Yuchen Zhang; Tao Kong (CoRR, 2023)

ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations. - Leyao Liu; Tao Kong; Minzhao Zhu; Jiashuo Fan; Lu Fang (CoRR, 2023)

InViG: Benchmarking Interactive Visual Grounding with 500K Human-Robot Interactions. - Hanbo Zhang; Jie Xu; Yuchen Mo; Tao Kong (CoRR, 2023)

Scale-Aware Automatic Augmentations for Object Detection With Dynamic Training. - Yukang Chen; Peizhen Zhang; Tao Kong; Yanwei Li; Xiangyu Zhang 005; Lu Qi; Jian Sun 001; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Self-Supervised Learning by Estimating Twin Class Distribution. - Feng Wang 034; Tao Kong; Rufeng Zhang; Huaping Liu 001; Hang Li (IEEE Trans. Image Process., 2023)

DenseCL: A simple framework for self-supervised dense visual pre-training. - Xinlong Wang; Rufeng Zhang; Chunhua Shen; Tao Kong (Vis. Informatics, 2023)

Image motion deblurring via attention generative adversarial network. - Yucun Zhang; Tao Li; Qun Li; Xianbin Fu; Tao Kong (Comput. Graph., 2023)

Image blind motion deblurring method with longitudinal channel and wavelet dynamic convolution. - Nanhe Jiang; Yucun Zhang; Fang Yan; Xianbin Fu; Tao Kong (Comput. Graph., 2023)

Sparse R-CNN: An End-to-End Framework for Object Detection. - Peize Sun; Rufeng Zhang; Yi Jiang 004; Tao Kong; Chenfeng Xu; Wei Zhan; Masayoshi Tomizuka; Zehuan Yuan; Ping Luo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

InViG: Benchmarking Open-Ended Interactive Visual Grounding with 500K Dialogues. - Hanbo Zhang; Jie Xu; Yuchen Mo; Tao Kong (CVPR Workshops, 2024)

Vision-Language Foundation Models as Effective Robot Imitators. - Xinghang Li; Minghuan Liu; Hanbo Zhang; Cunjun Yu; Jie Xu; Hongtao Wu; Chilam Cheang; Ya Jing; Weinan Zhang 001; Huaping Liu 001; Hang Li; Tao Kong (ICLR, 2024)

Exploring Target Representations for Masked Autoencoders. - Xingbin Liu; Jinghao Zhou; Tao Kong; Xianming Lin; Rongrong Ji (ICLR, 2024)

Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation. - Hongtao Wu; Ya Jing; Chilam Cheang; Guangzeng Chen; Jiafeng Xu; Xinghang Li; Minghuan Liu; Hang Li; Tao Kong (ICLR, 2024)

Towards Unified Interactive Visual Grounding in The Wild. - Jie Xu; Hanbo Zhang; Qingyi Si; Yifeng Li; Xuguang Lan; Tao Kong (ICRA, 2024)

What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? - Yan Zeng; Hanbo Zhang; Jiani Zheng; Jiangnan Xia; Guoqiang Wei; Yang Wei; Yuchen Zhang; Tao Kong; Ruihua Song (NAACL-HLT, 2024)

SInViG: A Self-Evolving Interactive Visual Agent for Human-Robot Interaction. - Jie Xu; Hanbo Zhang; Xinghang Li; Huaping Liu; Xuguang Lan; Tao Kong (CoRR, 2024)

IRASim: Learning Interactive Real-Robot Action Simulators. - Fangqi Zhu; Hongtao Wu; Song Guo; Yuxiao Liu; Chilam Cheang; Tao Kong (CoRR, 2024)

World Model-based Perception for Visual Legged Locomotion. - Hang Lai; Jiahang Cao; Jiafeng Xu; Hongtao Wu; Yunfeng Lin; Tao Kong; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation. - Chilam Cheang; Guangzeng Chen; Ya Jing; Tao Kong; Hang Li; Yifeng Li; Yuxiao Liu; Hongtao Wu; Jiafeng Xu; Yichu Yang; Hanbo Zhang; Minzhao Zhu (CoRR, 2024)

Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action Models. - Xinghang Li; Peiyan Li; Minghuan Liu; Dong Wang; Jirong Liu; Bingyi Kang; Xiao Ma 006; Tao Kong; Hanbo Zhang; Huaping Liu (CoRR, 2024)

GR-MG: Leveraging Partially-Annotated Data via Multi-Modal Goal-Conditioned Policy. - Peiyan Li; Hongtao Wu; Yan Huang 008; Chilam Cheang; Liang Wang 001; Tao Kong (IEEE Robotics Autom. Lett., 2025)

Robotic Policy Learning via Human-assisted Action Preference Optimization. - Wenke Xia; Yichu Yang; Hongtao Wu; Xiao Ma; Tao Kong; Di Hu (CoRR, 2025)

BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models. - Peiyan Li; Yixiang Chen; Hongtao Wu; Xiao Ma; Xiangnan Wu; Yan Huang 008; Liang Wang 001; Tao Kong; Tieniu Tan (CoRR, 2025)

Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation. - Wenbo Zhang; Tianrun Hu; Yanyuan Qiao; Hanbo Zhang; Yuchu Qin; Yang Li; Jiajun Liu; Tao Kong; Lingqiao Liu; Xiao Ma (CoRR, 2025)

Flow-Based Policy for Online Reinforcement Learning. - Lei Lv; Yunfei Li; Yu Luo; Fuchun Sun 001; Tao Kong; Jiafeng Xu; Xiao Ma (CoRR, 2025)

GR-3 Technical Report. - Chilam Cheang; Sijin Chen; Zhongren Cui; Yingdong Hu; Liqun Huang; Tao Kong; Hang Li; Yifeng Li; Yuxiao Liu; Xiao Ma; Hao Niu; Wenxuan Ou; et al. (CoRR, 2025)