HetEOTL: An Algorithm for Heterogeneous Online Transfer Learning. - Qian Chen; Yuntao Du 001; Ming Xu 014; Chong-Jun Wang (ICTAI, 2018)

Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. - Yuntao Du 001; Zhiwen Tan; Qian Chen; Yi Zhang 073; Chongjun Wang (ECAI, 2020)

Mining Knowledge within Categories in Global and Local Fashion for Multi-Label Text Classification. - Sheng Bi; Peng Shi; Yuntao Du 001; Bin Jin; Lingshuang Yu (IJCNN, 2020)

Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconstruction Networks. - Qian Chen; Yuntao Du 001; Zhiwen Tan; Yi Zhang 073; Chongjun Wang (ECML/PKDD (2), 2020)

Dual Adversarial Domain Adaptation. - Yuntao Du 001; Zhiwen Tan; Qian Chen; Xiaowen Zhang; Yirong Yao; Chongjun Wang (CoRR, 2020)

Unsupervised domain adaptation with exploring more statistics and discriminative information. - Yuntao Du 001; Ruiting Zhang; Yikang Cao; Xiaowen Zhang; Zhiwen Tan; Chongjun Wang (CoRR, 2020)

AdaRNN: Adaptive Learning and Forecasting of Time Series. - Yuntao Du 001; Jindong Wang 001; Wenjie Feng 001; Sinno Jialin Pan; Tao Qin 001; Renjun Xu; Chongjun Wang (CIKM, 2021)

Adversarial Separation Network for Cross-Network Node Classification. - Xiaowen Zhang; Yuntao Du 001; Rongbiao Xie; Chongjun Wang (CIKM, 2021)

Cross-Domain Error Minimization for Unsupervised Domain Adaptation. - Yuntao Du 001; Yinghao Chen; Fengli Cui; Xiaowen Zhang; Chongjun Wang (DASFAA (2), 2021)

Self Separation and Misseparation Impact Minimization for Open-Set Domain Adaptation. - Yuntao Du 001; Yikang Cao; Yumeng Zhou; Yinghao Chen; Ruiting Zhang; Chongjun Wang (DASFAA (2), 2021)

Unsupervised Domain Adaptation with Unified Joint Distribution Alignment. - Yuntao Du 001; Zhiwen Tan; Xiaowen Zhang; Yirong Yao; Hualei Yu; Chongjun Wang (DASFAA (2), 2021)

DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning. - Hualei Yu; Chong Luo; Yuntao Du 001; Hao Cheng 014; Meng Cao 004; Chongjun Wang (DASFAA (1), 2021)

Nested Dense Attention Network for Single Image Super-Resolution. - Cheng Qiu; Yirong Yao; Yuntao Du 001 (ICMR, 2021)

Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation. - Yuntao Du 001; Haiyang Yang; Mingcai Chen; Juan Jiang; Hongtao Luo; Chongjun Wang (CoRR, 2021)

SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. - Heng-Yang Lu; Yi Zhang 073; Yuntao Du 001 (Data Technol. Appl., 2021)

Semi-supervised Learning with Multi-Head Co-Training. - Mingcai Chen; Yuntao Du 001; Yi Zhang 073; Shuwei Qian; Chongjun Wang (AAAI, 2022)

Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation. - Fengli Cui; Yinghao Chen; Yuntao Du 001; Yikang Cao; Chongjun Wang (PAKDD (1), 2022)

InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation. - Yuntao Du 001; Hongtao Luo; Haiyang Yang; Juan Jiang; Chongjun Wang (ECML/PKDD (1), 2022)

Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting. - Le Zhao; Mingcai Chen; Yuntao Du 001; Haiyang Yang; Chongjun Wang (CoRR, 2022)

Learning transferable and discriminative features for unsupervised domain adaptation. - Yuntao Du 001; Ruiting Zhang; Xiaowen Zhang; Yirong Yao; Hengyang Lu; Chongjun Wang (Intell. Data Anal., 2022)

Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. - Mingcai Chen; Hao Cheng 014; Yuntao Du 001; Ming Xu 014; Wenyu Jiang; Chongjun Wang (AAAI, 2023)

Self-Training with Label-Feature-Consistency for Domain Adaptation. - Yi Xin 003; Siqi Luo; Pengsheng Jin; Yuntao Du 001; Chongjun Wang (DASFAA (4), 2023)

CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection. - Shuai Feng; Wenyu Jiang; Mingcai Chen; Yuntao Du 001; Hao Cheng 014; Yuxin Ge; Chongjun Wang (SDM, 2023)

LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels. - Mingcai Chen; Yuntao Du 001; Wei Tang; Baoming Zhang; Hao Cheng 014; Shuwei Qian; Chongjun Wang (CoRR, 2023)

Bidirectional View based Consistency Regularization for Semi-Supervised Domain Adaptation. - Yuntao Du 001; Juan Jiang; Hongtao Luo; Haiyang Yang; Mingcai Chen; Chongjun Wang (Trans. Mach. Learn. Res., 2023)

CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update. - Zhi Gao; Yuntao Du 001; Xintong Zhang; Xiaojian Ma 001; Wenjuan Han; Song-Chun Zhu; Qing Li 003 (CVPR, 2024)

[inline-graphic not available: see fulltext]VideoAgent: A Memory-Augmented Multimodal Agent for Video Understanding. - Yue Fan; Xiaojian Ma 001; Rujie Wu; Yuntao Du 001; Jiaqi Li; Zhi Gao; Qing Li 003 (ECCV (22), 2024)

V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. - Yi Xin 003; Siqi Luo; Xuyang Liu; Yuntao Du 001; Haodi Zhou; Xinyu Cheng; Christina E. Lee; Junlong Du; Haozhe Wang 002; Mingcai Chen; Ting Liu; Guimin Hu; et al. (NeurIPS, 2024)

Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey. - Yi Xin 003; Siqi Luo; Haodi Zhou; Junlong Du; Xiaohong Liu 001; Yue Fan; Qing Li 003; Yuntao Du 001 (CoRR, 2024)

VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding. - Yue Fan; Xiaojian Ma 001; Rujie Wu; Yuntao Du 001; Jiaqi Li; Zhi Gao; Qing Li 003 (CoRR, 2024)

Enhancing Test Time Adaptation with Few-shot Guidance. - Siqi Luo; Yi Xin 003; Yuntao Du 001; Zhongwei Wan; Tao Tan 002; Guangtao Zhai; Xiaohong Liu 001 (CoRR, 2024)

Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation. - Yuntao Du 001; Haiyang Yang; Mingcai Chen; Hongtao Luo; Juan Jiang; Yi Xin 003; Chongjun Wang (Mach. Learn., 2024)

Robust Logit Adjustment for Learning with Long-Tailed Noisy Data. - Mingcai Chen; Yuntao Du 001; Wenyu Jiang; Baoming Zhang; Shuai Feng; Yi Xin 003; Chongjun Wang (AAAI, 2025)

MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge. - Yuntao Du 001; Kailin Jiang; Zhi Gao; Chenrui Shi; Zilong Zheng; Siyuan Qi; Qing Li 003 (ICLR, 2025)

LaplaceConfidence: A graph-based approach for learning with noisy labels. - Mingcai Chen; Yuntao Du 001; Wei Tang; Baoming Zhang; Chongjun Wang (Intell. Data Anal., 2025)

Enhancing few-shot out-of-distribution intent detection by reducing attention misallocation. - Hengyang Lu; Jia-ming Zhang; Yuntao Du 001; Chang Xia; Chongjun Wang; Wei Fang 001; Xiao-jun Wu 001 (Neurocomputing, 2025)

Multi-source fully test-time adaptation. - Yuntao Du 001; Siqi Luo; Yi Xin 003; Mingcai Chen; Shuai Feng; Mujie Zhang; Chongjun Wang (Neural Networks, 2025)

MuSIA: Exploiting multi-source information fusion with abnormal activations for out-of-distribution detection. - Hengyang Lu; Xin Guo; Wenyu Jiang; Chenyou Fan; Yuntao Du 001; Zhenhao Shao; Wei Fang 001; Xiaojun Wu 001 (Neural Networks, 2025)

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. - Yifan Jia; Kailin Jiang; Yuyang Liang; Qihan Ren; Yi Xin 003; Rui Yang; Fenze Feng; Mingcai Chen; Hengyang Lu; Haozhe Wang 002; Xiaoye Qu; Dongrui Liu; et al. (CoRR, 2025)

RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving. - Huacan Wang; Ziyi Ni; Shuo Zhang; Shuo Lu; Sen Hu; Ziyang He; Chen Hu; Jiaye Lin; Yifu Guo; Yuntao Du 001; Pin Lyu (CoRR, 2025)

When Large Multimodal Models Confront Evolving Knowledge:Challenges and Pathways. - Kailin Jiang; Yuntao Du 001; Yukai Ding; Yuchen Ren; Ning Jiang; Zhi Gao; Zilong Zheng; Lei Liu; Bin Li; Qing Li 003 (CoRR, 2025)

MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media. - Rui Lu; Jinhe Bi; Yunpu Ma; Feng Xiao; Yuntao Du 001; Yijun Tian 001 (CoRR, 2025)