Batch Mode Active Learning for Geographical Image Classification. - Zengmao Wang; Bo Du 001; Lefei Zhang; Wenbin Hu 001; Dacheng Tao; Liangpei Zhang 001 (APWeb, 2015)

Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling. - Zengmao Wang; Bo Du 001; Lefei Zhang; Liangpei Zhang 001; Meng Fang; Dacheng Tao (ECCV (3), 2016)

A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classification. - Zengmao Wang; Bo Du 001; Lefei Zhang; Liangpei Zhang 001 (Neurocomputing, 2016)

On Gleaning Knowledge from Multiple Domains for Active Learning. - Zengmao Wang; Bo Du 001; Lefei Zhang; Liangpei Zhang 001; Ruimin Hu; Dacheng Tao (IJCAI, 2017)

Multi-class active learning: A hybrid informative and representative criterion inspired approach. - Zengmao Wang; Bo Du 001; Lefei Zhang (IJCNN, 2017)

Exploring Representativeness and Informativeness for Active Learning. - Bo Du 001; Zengmao Wang; Lefei Zhang; Liangpei Zhang 001; Wei Liu 005; Jialie Shen 001; Dacheng Tao (IEEE Trans. Cybern., 2017)

A Novel Semisupervised Active-Learning Algorithm for Hyperspectral Image Classification. - Zengmao Wang; Bo Du 001; Lefei Zhang; Liangpei Zhang 001; Xiuping Jia (IEEE Trans. Geosci. Remote. Sens., 2017)

Robust and Discriminative Labeling for Multi-Label Active Learning Based on Maximum Correntropy Criterion. - Bo Du 001; Zengmao Wang; Lefei Zhang; Liangpei Zhang 001; Dacheng Tao (IEEE Trans. Image Process., 2017)

Matrix completion with Preference Ranking for Top-N Recommendation. - Zengmao Wang; Yuhong Guo; Bo Du 001 (IJCAI, 2018)

Multi-Class Active Learning by Integrating Uncertainty and Diversity. - Zengmao Wang; Xi Fang 002; Xinyao Tang; Chen Wu 003 (IEEE Access, 2018)

Multi-class Active Learning: A Hybrid Informative and Representative Criterion Inspired Approach. - Xi Fang 002; Zengmao Wang; Xinyao Tang; Chen Wu 003 (CoRR, 2018)

Leveraging Ratings and Reviews with Gating Mechanism for Recommendation. - Haifeng Xia; Zengmao Wang; Bo Du 001; Lefei Zhang; Shuai Chen; Gang Chun (CIKM, 2019)

On combining active and transfer learning for medical data classification. - Xinyao Tang; Bo Du 001; Jianzhong Huang; Zengmao Wang; Lefei Zhang (IET Comput. Vis., 2019)

Domain Adaptation With Discriminative Distribution and Manifold Embedding for Hyperspectral Image Classification. - Zengmao Wang; Bo Du 001; Qian Shi 001; Weiping Tu (IEEE Geosci. Remote. Sens. Lett., 2019)

Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy Criterion. - Bo Du 001; Xinyao Tang; Zengmao Wang; Lefei Zhang; Dacheng Tao (IEEE Trans. Cybern., 2019)

Bi-adapting kernel learning for unsupervised domain adaptation. - Zengmao Wang; Pan Xiao; Weiping Tu; Bo Du 001; Yanxiang Cheng (Neurocomputing, 2020)

Domain Adaptation With Neural Embedding Matching. - Zengmao Wang; Bo Du 001; Yuhong Guo (IEEE Trans. Neural Networks Learn. Syst., 2020)

Multi-subband and Multi-subepoch Time Series Feature Learning for EEG-based Sleep Stage Classification. - Panfeng An; Zhiyong Yuan; Jianhui Zhao 001; Xue Jiang; Zengmao Wang; Bo Du 001 (IJCB, 2021)

Multistage reaction-diffusion equation network for image super-resolution. - Xiaofeng Pu; Zengmao Wang (IET Image Process., 2021)

Joint representation learning with ratings and reviews for recommendation. - Zengmao Wang; Haifeng Xia; Shuai Chen; Gang Chun (Neurocomputing, 2021)

Incorporating Distribution Matching into Uncertainty for Multiple Kernel Active Learning. - Zengmao Wang; Bo Du 001; Weiping Tu; Lefei Zhang; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2021)

Multi-marginal Contrastive Learning for Multilabel Subcellular Protein Localization. - Ziyi Liu 010; Zengmao Wang; Bo Du 001 (CVPR, 2022)

Self-Guided Network for Fine-Grained Object Localization Using Weakly Supervised Learning. - Xiangyu Qu; Zengmao Wang (ICME, 2022)

Self-paced Supervision for Multi-source Domain Adaptation. - Zengmao Wang; Chaoyang Zhou; Bo Du 001; Fengxiang He (IJCAI, 2022)

CFDA: Collaborative Filtering with Dual Autoencoder for Recommender System. - Xinyu Liu; Zengmao Wang (IJCNN, 2022)

Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation. - Wanyu Xu; Zengmao Wang; Wei Bian (IJCNN, 2022)

Deep Dynamic Interest Learning With Session Local and Global Consistency for Click-Through Rate Predictions. - Xin Zhang 091; Zengmao Wang; Bo Du 001 (IEEE Trans. Ind. Informatics, 2022)

Unified active and semi-supervised learning for hyperspectral image classification. - Zengmao Wang; Bo Du 001 (GeoInformatica, 2023)

PAENL: personalized attraction enhanced network learning for recommendation. - Yangyang Xu; Zengmao Wang; Jedi S. Shang (Neural Comput. Appl., 2023)

Coherence-aware context aggregator for fast video object segmentation. - Meng Lan; Jing Zhang; Zengmao Wang (Pattern Recognit., 2023)

Graph-aware collaborative reasoning for click-through rate prediction. - Xin Zhang 091; Zengmao Wang; Bo Du 001 (World Wide Web (WWW), 2023)

Active Learning With Co-Auxiliary Learning and Multi-Level Diversity for Image Classification. - Zengmao Wang; Zixi Chen; Bo Du 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

KE-X: Towards subgraph explanations of knowledge graph embedding based on knowledge information gain. - Dong Zhao; Guojia Wan; Yibing Zhan; Zengmao Wang; Liang Ding 006; Zhigao Zheng 001; Bo Du 001 (Knowl. Based Syst., 2023)

Cycle Self-Refinement for Multi-Source Domain Adaptation. - Chaoyang Zhou; Zengmao Wang; Bo Du 001; Yong Luo 002 (AAAI, 2024)

Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names. - Yapeng Li; Yong Luo 002; Zengmao Wang; Bo Du 001 (CVPR, 2024)

LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation. - Wentao Jiang; Jing Zhang 037; Di Wang 023; Qiming Zhang 001; Zengmao Wang; Bo Du 001 (IJCAI, 2024)

Temporal Uplift Modeling for Online Marketing. - Xin Zhang 091; Kai Wang 064; Zengmao Wang; Bo Du 001; Shiwei Zhao; Runze Wu 001; Xudong Shen; Tangjie Lv; Changjie Fan (KDD, 2024)

SAT3D: Image-driven Semantic Attribute Transfer in 3D. - Zhijun Zhai; Zengmao Wang; Xiaoxiao Long; Kaixuan Zhou; Bo Du 001 (ACM Multimedia, 2024)

What If the Input is Expanded in OOD Detection? - Boxuan Zhang 001; Jianing Zhu; Zengmao Wang; Tongliang Liu; Bo Du 001; Bo Han 003 (NeurIPS, 2024)

Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales? - Zhanke Zhou; Rong Tao; Jianing Zhu; Yiwen Luo; Zengmao Wang; Bo Han 003 (NeurIPS, 2024)

Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification. - Long Lan; Fengxiang Wang 004; Shuyan Li; Xiangtao Zheng; Zengmao Wang; Xinwang Liu 002 (CoRR, 2024)

Detect Changes like Humans: Incorporating Semantic Priors for Improved Change Detection. - Yuhang Gan; Wenjie Xuan; Zhiming Luo; Lei Fang; Zengmao Wang; Juhua Liu; Bo Du 001 (CoRR, 2024)

Boosting Semi-Supervised Object Detection in Remote Sensing Images With Active Teaching. - Boxuan Zhang 001; Zengmao Wang; Bo Du 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification. - Yapeng Li; Yong Luo 002; Lefei Zhang; Zengmao Wang; Bo Du 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Domain Complementary Adaptation by Leveraging Diversity and Discriminability From Multiple Sources. - Chaoyang Zhou; Zengmao Wang; Xiaoping Zhang; Bo Du 001 (IEEE Trans. Multim., 2024)

Leveraging spatial residual attention and temporal Markov networks for video action understanding. - Yangyang Xu; Zengmao Wang; Xiaoping Zhang (Neural Networks, 2024)

GaussianGrasper: 3D Language Gaussian Splatting for Open-Vocabulary Robotic Grasping. - Yuhang Zheng; Xiangyu Chen; Yupeng Zheng; Songen Gu; Runyi Yang; Bu Jin; Pengfei Li 007; Chengliang Zhong; Zengmao Wang; Lina Liu 010; Chao Yang 026; Dawei Wang 006; et al. (IEEE Robotics Autom. Lett., 2024)

Deep Session Heterogeneity-Aware Network for Click Through Rate Prediction. - Xin Zhang 091; Zengmao Wang; Bo Du 001; Jia Wu 001; Xiao Zhang; Erli Meng (IEEE Trans. Knowl. Data Eng., 2024)

Dynamic Parallel Tree Search for Efficient LLM Reasoning. - Yifu Ding; Wentao Jiang; Shunyu Liu 001; Yongcheng Jing; Jinyang Guo; Yingjie Wang; Jing Zhang; Zengmao Wang; Ziwei Liu 002; Bo Du 001; Xianglong Liu 001; Dacheng Tao (ACL (1), 2025)

Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification. - Long Lan; Fengxiang Wang 004; Xiangtao Zheng; Zengmao Wang; Xinwang Liu 002 (IEEE Trans. Geosci. Remote. Sens., 2025)

Medical Transformer With Mix Mask Generation for Thorax Disease Classification. - Ziyi Liu 010; Zengmao Wang; Bo Du 001 (IEEE Trans. Multim., 2025)

Learning Intrinsic Invariance Within Intra-Class for Domain Generalization. - Chaoyang Zhou; Zengmao Wang; Bo Du 001 (IEEE Trans. Multim., 2025)

Dynamic Parallel Tree Search for Efficient LLM Reasoning. - Yifu Ding; Wentao Jiang; Shunyu Liu 001; Yongcheng Jing; Jinyang Guo; Yingjie Wang; Jing Zhang 037; Zengmao Wang; Ziwei Liu 002; Bo Du 001; Xianglong Liu 001; Dacheng Tao (CoRR, 2025)

Multi-Modal Correction Network for Recommendation. - Zengmao Wang; Yunzhen Feng; Xin Zhang 091; Renjie Yang; Bo Du 001 (IEEE Trans. Knowl. Data Eng., 2025)

AnesBench: Multi-Dimensional Evaluation of LLM Reasoning in Anesthesiology. - Xiang Feng; Wentao Jiang; Zengmao Wang; Yong Luo 002; Pingbo Xu; Baosheng Yu; Hua Jin; Bo Du 001; Jing Zhang 037 (CoRR, 2025)

Intra-Trajectory Consistency for Reward Modeling. - Chaoyang Zhou; Shunyu Liu 001; Zengmao Wang; Di Wang 023; Rong-Cheng Tu; Bo Du 001; Dacheng Tao (CoRR, 2025)

When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need. - Ziming Hong; Runnan Chen; Zengmao Wang; Bo Han 003; Bo Du 001; Tongliang Liu (CoRR, 2025)

REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation. - Wentao Jiang; Xiang Feng; Zengmao Wang; Yong Luo 002; Pingbo Xu; Zhe Chen 013; Bo Du 001; Jing Zhang 037 (CoRR, 2025)

MeSS: City Mesh-Guided Outdoor Scene Generation with Cross-View Consistent Diffusion. - Xuyang Chen; Zhijun Zhai; Kaixuan Zhou; Zengmao Wang; Jianan He; Dong Wang; Yanfeng Zhang; Mingwei Sun; Rüdiger Westermann; Konrad Schindler; Liqiu Meng (CoRR, 2025)

Causal Enhanced Autoregressive Model for Monocular Image-Goal Navigation in Unknown Map Environment. - Zengmao Wang; Hao Hu; Wei Gao 014; Shuhan Shen (IEEE Robotics Autom. Lett., 2025)