Deep Inclusion Relation-aware Network for User Response Prediction at Fliggy. - Zai Huang; Mingyuan Tao; Bufeng Zhang (KDD, 2021)

Deep User Match Network for Click-Through Rate Prediction. - Zai Huang; Mingyuan Tao; Bufeng Zhang (SIGIR, 2021)

Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation. - Zilong Huang; Wentian Hao; Xinggang Wang; Mingyuan Tao; Jianqiang Huang; Wenyu Liu 001; Xian-Sheng Hua 001 (CoRR, 2021)

Adversarial Visual Robustness by Causal Intervention. - Kaihua Tang; Mingyuan Tao; Hanwang Zhang (CoRR, 2021)

PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting. - Xiaoshuang Chen; Yiru Zhao; Yu Qin; Fei Jiang 006; Mingyuan Tao; Xiansheng Hua 001; Hongtao Lu 001 (CoRR, 2021)

Spatial likelihood voting with self-knowledge distillation for weakly supervised object detection. - Ze Chen 001; Zhihang Fu; Jianqiang Huang; Mingyuan Tao; Rongxin Jiang 001; Xiang Tian 002; Yaowu Chen; Xian-Sheng Hua 001 (Image Vis. Comput., 2021)

Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation. - Deyi Ji; Haoran Wang; Mingyuan Tao; Jianqiang Huang; Xian-Sheng Hua 001; Hongtao Lu 001 (CVPR, 2022)

Invariant Feature Learning for Generalized Long-Tailed Classification. - Kaihua Tang; Mingyuan Tao; Jiaxin Qi; Zhenguang Liu; Hanwang Zhang (ECCV (24), 2022)

G2NET: A General Geography-Aware Representation Network for Hotel Search Ranking. - Jia Xu 005; Fei Xiong; Zulong Chen; Mingyuan Tao; Liangyue Li; Quan Lu (KDD, 2022)

Dynamic supervisor for cross-dataset object detection. - Ze Chen 001; Zhihang Fu; Jianqiang Huang; Mingyuan Tao; Shengyu Li; Rongxin Jiang 001; Xiang Tian 002; Yaowu Chen; Xian-Sheng Hua 001 (Neurocomputing, 2022)

Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark. - Deyi Ji; Feng Zhao 004; Hongtao Lu 001; Mingyuan Tao; Jieping Ye (CVPR, 2023)

Experimental Validation of Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking. - Zhaodong Zhou; Jun Chen 002; Mingyuan Tao; Peng Zhang; Meng Xu (eIT, 2023)

Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection. - Chao Chen 026; Zhihang Fu; Kai Liu 023; Ze Chen 001; Mingyuan Tao; Jieping Ye (NeurIPS, 2023)

Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions. - Kai Liu 023; Zhihang Fu; Chao Chen 026; Sheng Jin 002; Ze Chen 001; Mingyuan Tao; Rongxin Jiang 001; Jieping Ye (NeurIPS, 2023)

Soil Moisture Sensing with UAV-Mounted IR-UWB Radar and Deep Learning. - Rong Ding; Haiming Jin; Dong Xiang; Xiaocheng Wang; Yongkui Zhang; Dingman Shen; Lu Su 001; Wentian Hao; Mingyuan Tao; Xinbing Wang; Chenghu Zhou (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Changenet: Multi-Temporal Asymmetric Change Detection Dataset. - Deyi Ji; Siqi Gao; Mingyuan Tao; Hongtao Lu 001; Feng Zhao 004 (ICASSP, 2024)

INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection. - Chao Chen 026; Kai Liu 023; Ze Chen 001; Yi Gu; Yue Wu; Mingyuan Tao; Zhihang Fu; Jieping Ye (ICLR, 2024)

Water Salinity Sensing with UAV-Mounted IR-UWB Radar. - Xiaocheng Wang; Guiyun Fan; Rong Ding; Haiming Jin; Wentian Hao; Mingyuan Tao (ACM Trans. Sens. Networks, 2024)

NAM: A Normalization Attention Model for Personalized Product Search In Fliggy. - Shui Liu; Mingyuan Tao; Maofei Que; Pan Li 008; Dong Li; Shenghua Ni; Zhuoran Zhuang (SIGIR, 2025)

NAM: A Normalization Attention Model for Personalized Product Search In Fliggy. - Shui Liu; Mingyuan Tao; Maofei Que; Pan Li; Dong Li; Shenghua Ni; Zhuoran Zhuang (CoRR, 2025)