Differentiation between high-grade gliomas and solitary brain metastases: a comparison of five diffusion-weighted MRI models. - Jiaji Mao; Weike Zeng; Qinyuan Zhang; Zehong Yang; Xu Yan 004; Huiting Zhang; Mengzhu Wang; Guang Yang 026; Min-Xiong Zhou; Jun Shen 008 (BMC Medical Imaging, 2020)

Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy. - Mengzhu Wang; Xiang Zhang 008; Long Lan; Wei Wang 335; Huibin Tan; Zhigang Luo (CoRR, 2020)

Similar Questions Correspond to Similar SQL Queries: A Case-Based Reasoning Approach for Text-to-SQL Translation. - Wei Yu 029; Xiaoting Guo; Fei Chen; Tao Chang; Mengzhu Wang; Xiaodong Wang (ICCBR, 2021)

A Focally Discriminative Loss for Unsupervised Domain Adaptation. - Dongting Sun; Mengzhu Wang; Xurui Ma; Tianming Zhang; Nan Yin; Wei Yu 029; Zhigang Luo (ICONIP (1), 2021)

Spatio-Temporal Action Detector with Self-Attention. - Xurui Ma; Zhigang Luo; Xiang Zhang 008; Qing Liao 001; Xingyu Shen; Mengzhu Wang (IJCNN, 2021)

InterBN: Channel Fusion for Adversarial Unsupervised Domain Adaptation. - Mengzhu Wang; Wei Wang 335; Baopu Li; Xiang Zhang 008; Long Lan; Huibin Tan; Tianyi Liang 001; Wei Yu 029; Zhigang Luo (ACM Multimedia, 2021)

An interaction-modeling mechanism for context-dependent Text-to-SQL translation based on heterogeneous graph aggregation. - Wei Yu 029; Tao Chang; Xiaoting Guo; Mengzhu Wang; Xiaodong Wang (Neural Networks, 2021)

Attention-based Adversarial Partial Domain Adaptation. - Mengzhu Wang; Shan An; Xiao Luo 001; Xiong Peng; Wei Yu 029; Junyang Chen 001; Zhigang Luo (ICASSP, 2022)

Logit Distillation via Student Diversity. - Dingyao Chen; Long Lan; Mengzhu Wang; Xiang Zhang 008; Tianyi Liang 001; Zhigang Luo (ICONIP (5), 2022)

AAT: Non-local Networks for Sim-to-Real Adversarial Augmentation Transfer. - Mengzhu Wang; Shanshan Wang 008; Tianwei Yan 001; Zhigang Luo (ICONIP (4), 2022)

Implicit Feature Alignment For Knowledge Distillation. - Dingyao Chen; Mengzhu Wang; Xiang Zhang 008; Tianyi Liang 001; Zhigang Luo (ICTAI, 2022)

Semantic Data Augmentation based Distance Metric Learning for Domain Generalization. - Mengzhu Wang; Jianlong Yuan; Qi Qian 001; Zhibin Wang 004; Hao Li 030 (ACM Multimedia, 2022)

DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification. - Nan Yin; Li Shen 008; Baopu Li; Mengzhu Wang; Xiao Luo 001; Chong Chen 002; Zhigang Luo; Xian-Sheng Hua 001 (ACM Multimedia, 2022)

On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation. - Wenju Zhang; Xiang Zhang 008; Qing Liao 001; Long Lan; Mengzhu Wang; Wei Wang 335; Baoyun Peng; Zhengming Ding (CoRR, 2022)

Implicit Semantic Augmentation for Distance Metric Learning in Domain Generalization. - Mengzhu Wang; Jianlong Yuan; Qi Qian 001; Zhibin Wang 004; Hao Li 030 (CoRR, 2022)

Informative pairs mining based adaptive metric learning for adversarial domain adaptation. - Mengzhu Wang; Paul Li; Li Shen 008; Ye Wang 023; Shanshan Wang 008; Wei Wang 335; Xiang Zhang 008; Junyang Chen 001; Zhigang Luo (Neural Networks, 2022)

Confidence Regularized Label Propagation Based Domain Adaptation. - Wei Wang 335; Baopu Li; Mengzhu Wang; Feiping Nie 001; Zhihui Wang 001; Haojie Li (IEEE Trans. Circuits Syst. Video Technol., 2022)

A Simple Yet Effective Layered Loss for Pre-Training of Network Embedding. - Junyang Chen 001; Xueliang Li 002; Yuanman Li; Paul Li; Mengzhu Wang; Xiang Zhang 008; Zhiguo Gong; Kaishun Wu; Victor C. M. Leung (IEEE Trans. Netw. Sci. Eng., 2022)

A Topic-Aware Graph-Based Neural Network for User Interest Summarization and Item Recommendation in Social Media. - Junyang Chen 001; Ge Fan; Zhiguo Gong; Xueliang Li 002; Victor C. M. Leung; Mengzhu Wang; Ming Yang (DASFAA (2), 2023)

Enhanced Dcf Tracker Regularized by Reliable Sample Construction. - Kun Hu; Mingyu Cao; Mengzhu Wang; Long Lan; Wenjing Yang 002; Huibin Tan (ICASSP, 2023)

Progressive Perception Learning for Distribution Modulation in Siamese Tracking. - Kun Hu; Xianchen Zhou; Mingyu Cao; Mengzhu Wang; Guangjie Gao; Wenjing Yang 002; Huibin Tan (ICASSP, 2023)

Decomposition, Interaction, Reconstruction Meets Global Context Learning In Visual Tracking. - Huibin Tan; Kun Hu; Mingyu Cao; Mengzhu Wang; Liyang Xu; Wenjing Yang 002 (ICASSP, 2023)

Accelerated Dynamic Renal Phase-Contrast MRI using A Score-based Diffusion Network. - Mengzhu Wang; Huajun She; Yiping P. Du (ICBBE, 2023)

Atomic-action-based Contrastive Network for Weakly Supervised Temporal Language Grounding. - Hongzhou Wu; Yifan Lyu; Xingyu Shen; Xuechen Zhao; Mengzhu Wang; Xiang Zhang 008; Zhigang Luo (ICME, 2023)

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification. - Nan Yin; Li Shen 008; Mengzhu Wang; Long Lan; Zeyu Ma 001; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (ICML, 2023)

Disentangled Representation Learning with Causality for Unsupervised Domain Adaptation. - Shanshan Wang 008; Yiyang Chen; Zhenwei He; Xun Yang 001; Mengzhu Wang; Quanzeng You; Xingyi Zhang 001 (ACM Multimedia, 2023)

Zero-shot Micro-video Classification with Neural Variational Inference in Graph Prototype Network. - Junyang Chen 001; Jialong Wang; Zhijiang Dai; Huisi Wu; Mengzhu Wang; Qin Zhang 011; Huan Wang 005 (ACM Multimedia, 2023)

A Closer Look at Classifier in Adversarial Domain Generalization. - Ye Wang 023; Junyang Chen 001; Mengzhu Wang; Hao Li 058; Wei Wang 335; Houcheng Su; Zhihui Lai 001; Wei Wang 077; Zhenghan Chen (ACM Multimedia, 2023)

Interpolation Normalization for Contrast Domain Generalization. - Mengzhu Wang; Junyang Chen 001; Huan Wang 005; Huisi Wu; Zhidan Liu 001; Qin Zhang 011 (ACM Multimedia, 2023)

Mixture-of-Experts Learner for Single Long-Tailed Domain Generalization. - Mengzhu Wang; Jianlong Yuan; Zhibin Wang 004 (ACM Multimedia, 2023)

PromptRestorer: A Prompting Image Restoration Method with Degradation Perception. - Cong Wang 018; Jinshan Pan; Wei Wang 335; Jiangxin Dong; Mengzhu Wang; Yakun Ju; Junyang Chen 001 (NeurIPS, 2023)

Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation. - Houcheng Su; Daixian Liu; Mengzhu Wang; Wei Wang 335 (CoRR, 2023)

BP-triplet net for unsupervised domain adaptation: A Bayesian perspective. - Shanshan Wang 008; Lei Zhang 038; Pichao Wang; Mengzhu Wang; Xingyi Zhang 001 (Pattern Recognit., 2023)

A Closer Look at the Joint Training of Object Detection and Re-Identification in Multi-Object Tracking. - Tianyi Liang 001; Baopu Li; Mengzhu Wang; Huibin Tan; Zhigang Luo (IEEE Trans. Image Process., 2023)

Domain-specific feature recalibration and alignment for multi-source unsupervised domain adaptation. - Mengzhu Wang; Dingyao Chen; Fangzhou Tan; Tianyi Liang 001; Long Lan; Xiang Zhang 008; Zhigang Luo (IET Comput. Vis., 2023)

Boosting unsupervised domain adaptation: A Fourier approach. - Mengzhu Wang; Shanshan Wang 008; Ye Wang 023; Wei Wang 335; Tianyi Liang 001; Junyang Chen 001; Zhigang Luo (Knowl. Based Syst., 2023)

Importance filtered soft label-based deep adaptation network. - Wei Wang 335; Ziyi Wang; Mengzhu Wang; Haojie Li; Zhihui Wang 001 (Knowl. Based Syst., 2023)

Bravely Say I Don't Know: Relational Question-Schema Graph for Text-to-SQL Answerability Classification. - Wei Yu 029; Haiyan Yang; Mengzhu Wang; Xiaodong Wang (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Reducing bi-level feature redundancy for unsupervised domain adaptation. - Mengzhu Wang; Shanshan Wang 008; Wei Wang 335; Li Shen 008; Xiang Zhang 008; Long Lan; Zhigang Luo (Pattern Recognit., 2023)

Self-aware circular response-guided attention for robust siamese tracking. - Huibin Tan; Mengzhu Wang; Tianyi Liang 001; Liyang Xu; Yuhua Tang; Long Lan; Wenjing Yang 002 (Appl. Intell., 2023)

A Neural Inference of User Social Interest for Item Recommendation. - Junyang Chen 001; Ziyi Chen; Mengzhu Wang; Ge Fan; Guo Zhong; Ou Liu; Wenfeng Du; Zhenghua Xu 001; Zhiguo Gong (Data Sci. Eng., 2023)

Class-specific and self-learning local manifold structure for domain adaptation. - Wei Wang 335; Mengzhu Wang; Xiao Dong; Long Lan; Quannan Zu; Xiang Zhang 008; Cong Wang 018 (Pattern Recognit., 2023)

IRLM: Inductive Representation Learning Model for Personalized POI Recommendation. - Junyang Chen 001; Mengzhu Wang; Haodi Zhang; Zhenghua Xu 001; Xueliang Li 002; Zhiguo Gong; Kaishun Wu; Victor C. M. Leung (IEEE Trans. Comput. Soc. Syst., 2023)

Video anomaly detection with NTCN-ML: A novel TCN for multi-instance learning. - Wenhao Shao; Ruliang Xiao; Praboda Rajapaksha; Mengzhu Wang; Noël Crespi; Zhigang Luo; Roberto Minerva (Pattern Recognit., 2023)

OMG: Towards Effective Graph Classification Against Label Noise. - Nan Yin; Li Shen 008; Mengzhu Wang; Xiao Luo 001; Zhigang Luo; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2023)

Correlation Matching Transformation Transformers for UHD Image Restoration. - Cong Wang 018; Jinshan Pan; Wei Wang 335; Gang Fu; Siyuan Liang; Mengzhu Wang; Xiao-Ming Wu 003; Jun Liu 036 (AAAI, 2024)

Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization. - Houcheng Su; Weihao Luo; Daixian Liu; Mengzhu Wang; Jing Tang; Junyang Chen 001; Cong Wang 018; Zhenghan Chen (AAAI, 2024)

Dynamic Spiking Graph Neural Networks. - Nan Yin; Mengzhu Wang; Zhenghan Chen; Giulia De Masi; Huan Xiong; Bin Gu 001 (AAAI, 2024)

Improving Graph Contrastive Learning via Adaptive Positive Sampling. - Jiaming Zhuo; Feiyang Qin; Can Cui 005; Kun Fu; Bingxin Niu; Mengzhu Wang; Yuanfang Guo; Chuan Wang 002; Zhen Wang 004; Xiaochun Cao; Liang Yang 002 (CVPR, 2024)

SBM: Smoothness-Based Minimization for Domain Generalization. - Chunqing Ruan; Mengzhu Wang; Shanshan Wang 008; Tianyi Liang 001; Wei Yu 029 (ICASSP, 2024)

DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption. - Nan Yin; Mengzhu Wang; Zhenghan Chen; Li Shen 008; Huan Xiong; Bin Gu 001; Xiao Luo 001 (ICLR, 2024)

Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? - Yang Dai; Oubo Ma; Longfei Zhang; Xingxing Liang; Shengchao Hu; Mengzhu Wang; Shouling Ji; Jincai Huang 001; Li Shen 008 (NeurIPS, 2024)

Continuous Spiking Graph Neural Networks. - Nan Yin; Mengzhu Wang; Li Shen 008; Hitesh Laxmichand Patel; Baopu Li; Bin Gu 001; Huan Xiong (CoRR, 2024)

Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation. - Shanshan Wang 008; Hao Zhou 001; Xun Yang 001; Zhenwei He; Mengzhu Wang; Xingyi Zhang 001; Meng Wang 001 (CoRR, 2024)

Open-World Test-Time Training: Self-Training with Contrast Learning. - Houcheng Su; Mengzhu Wang; Jiao Li; Bingli Wang; Daixian Liu; Zeheng Wang (CoRR, 2024)

OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement. - Qinglun Li; Miao Zhang; Mengzhu Wang; Quanjun Yin; Li Shen 008 (CoRR, 2024)

Degree Distribution based Spiking Graph Networks for Domain Adaptation. - Yingxu Wang; Siwei Liu 001; Mengzhu Wang; Shangsong Liang; Nan Yin (CoRR, 2024)

DiM: f-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation. - Bingli Wang; Houcheng Su; Nan Yin; Mengzhu Wang; Li Shen 008 (CoRR, 2024)

GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation. - Mengzhu Wang; Jiao Li; Houcheng Su; Nan Yin; Liang Yang 002; Shen Li (CoRR, 2024)

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation. - Houcheng Su; Mengzhu Wang; Jiao Li; Nan Yin; Liang Yang 002; Li Shen 008 (CoRR, 2024)

Object Style Diffusion for Generalized Object Detection in Urban Scene. - Hao Li 025; Xiangyuan Yang; Mengzhu Wang; Long Lan; Ke Liang 006; Xinwang Liu 002; Kenli Li 001 (CoRR, 2024)

Consistency-constrained unsupervised video anomaly detection framework based on Co-teaching. - Wenhao Shao; Praboda Rajapaksha; Noël Crespi; Xuechen Zhao; Mengzhu Wang; Nan Yin; Xinwang Liu 002; Zhigang Luo (Neurocomputing, 2024)

Equity in Unsupervised Domain Adaptation by Nuclear Norm Maximization. - Mengzhu Wang; Shanshan Wang 008; Xun Yang 001; Jianlong Yuan; Wenju Zhang (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Portable and Highly Integrated Solid-State Quantum Magnetometer Module Based on the Diamond NV Color Centers. - Kun Huang; Xiaobiao Mao; Yu Zhang; Mengzhu Wang; Xinhui He; Guihao Ran; Qin Hu 011; Zhennan Lin (IEEE Trans. Instrum. Meas., 2024)

Inter-Class and Inter-Domain Semantic Augmentation for Domain Generalization. - Mengzhu Wang; Yuehua Liu; Jianlong Yuan; Shanshan Wang 008; Zhibin Wang 004; Wei Wang 335 (IEEE Trans. Image Process., 2024)

Joint Adversarial Domain Adaptation With Structural Graph Alignment. - Mengzhu Wang; Junyang Chen 001; Ye Wang 023; Shanshan Wang 008; Lin Li 075; Hao Su; Zhiguo Gong; Kaishun Wu; Zhenghan Chen (IEEE Trans. Netw. Sci. Eng., 2024)

TFC: Transformer Fused Convolution for Adversarial Domain Adaptation. - Mengzhu Wang; Junyang Chen 001; Ye Wang 023; Zhiguo Gong; Kaishun Wu; Victor C. M. Leung (IEEE Trans. Comput. Soc. Syst., 2024)

Multidocument Aspect Classification for Aspect-Based Abstractive Summarization. - Ye Wang 023; Yingmin Zhou; Mengzhu Wang; Zhenghan Chen; Zhiping Cai; Junyang Chen 001; Victor C. M. Leung (IEEE Trans. Comput. Soc. Syst., 2024)

Compressing the Multiobject Tracking Model via Knowledge Distillation. - Tianyi Liang 001; Mengzhu Wang; Junyang Chen 001; Dingyao Chen; Zhigang Luo; Victor C. M. Leung (IEEE Trans. Comput. Soc. Syst., 2024)

Optimal Graph Learning-Based Label Propagation for Cross-Domain Image Classification. - Wei Wang 335; Mengzhu Wang; Chao Huang 008; Cong Wang 018; Jie Mu; Feiping Nie 001; Xiaochun Cao (IEEE Trans. Image Process., 2025)

In-Context Meta LoRA Generation. - Yihua Shao; Minxi Yan; Yang Liu 360; Siyu Chen; Wenjie Chen; Xinwei Long; Ziyang Yan; Lei Li; Chenyu Zhang; Nicu Sebe; Hao Tang 005; Yan Wang 068; et al. (CoRR, 2025)

Pairwise Similarity Regularization for Semi-supervised Graph Medical Image Segmentation. - Jialu Zhou; Dianxi Shi; Shaowu Yang; Chunping Qiu; Luoxi Jing; Mengzhu Wang (CoRR, 2025)

Let Synthetic Data Shine: Domain Reassembly and Soft-Fusion for Single Domain Generalization. - Hao Li 025; Yubin Xiao; Ke Liang 006; Mengzhu Wang; Long Lan; Kenli Li 001; Xinwang Liu 002 (CoRR, 2025)

Smooth-Guided Implicit Data Augmentation for Domain Generalization. - Mengzhu Wang; Junze Liu; Ge Luo 003; Shanshan Wang 008; Wei Wang 335; Long Lan; Ye Wang 023; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

HCL: A Hierarchical Contrastive Learning Framework for Zero-Shot Relation Extraction. - Tianwei Yan 001; Shan Zhao 002; Minghao Hu; Mengzhu Wang; Xiang Zhang 008; Zhigang Luo; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection. - Chenran Zhao; Dianxi Shi; Mengzhu Wang; Jianqiang Xia; Huanhuan Yang; Songchang Jin; Shaowu Yang; Chunping Qiu (CoRR, 2025)

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation. - Mengzhu Wang; Jiao Li; Shanshan Wang 008; Long Lan; Huibin Tan; Liang Yang 002; Guoli Yang (CoRR, 2025)

Machine Learning for Evolutionary Graph Theory. - Guoli Yang; Matteo Cavaliere; Mingtao Zhang; Giovanni Masala; Adam Miles; Mengzhu Wang (CoRR, 2025)

Graph Convolutional Mixture-of-Experts Learner Network for Long-Tailed Domain Generalization. - Mengzhu Wang; Houcheng Su; Sijia Wang; Shanshan Wang 008; Nan Yin; Li Shen 008; Long Lan; Liang Yang 002; Xiaochun Cao (IEEE Trans. Circuits Syst. Video Technol., 2025)

STFormer: Spatial-Temporal-Aware Transformer for Video Instance Segmentation. - Hao Li; Wei Wang 335; Mengzhu Wang; Huibin Tan; Long Lan; Zhigang Luo; Xinwang Liu 002; Kenli Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning. - Yingxu Wang; Mengzhu Wang; Zhichao Huang; Suyu Liu; Nan Yin (CoRR, 2025)

Dynamically Adaptive Reasoning via LLM-Guided MCTS for Efficient and Context-Aware KGQA. - Yingxu Wang; Shiqi Fan; Mengzhu Wang; Siyang Gao; Siwei Liu 001; Nan Yin (CoRR, 2025)

Separation and Collaboration: Two-Level Routing Grouped Mixture-of-Experts for Multi-Domain Continual Learning. - Jialu Zhou; Dianxi Shi; Shaowu Yang; Xinyu Wei; Mingyue Yang; Leqian Li; Mengzhu Wang; Chunping Qiu (CoRR, 2025)