Yuntao Du - RankMe

63 papers A* 10A 4B 3Journal 36Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Novel Fine-Tuned CLIP-OOD Detection Method with Double Loss Constraint Through Optimal Transport Semantic Alignment. AAAI Hengyang Lu, Xin Guo, Shuai Feng, Wenyu Jiang, Yuntao Du, Chang Xia, Chenyou Fan
2026	A*	`conf`	Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. AAAI Yifan Jia, Yuntao Du, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Qian Li, Dongrui Liu
2026	J	`jnl`	Generalization of knowledge graph grounded models: A multi-perspective survey. Inf. Fusion Yiming Wang, Qian Li, Yuntao Du, Lizhen Cui
2026	A*	`conf`	GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging. AAAI Ziyi Ni, Huacan Wang, Shuo Zhang, Shuo Lu, Ziyang He, Wang You, Zhenheng Tang, Sen Hu, Bo Li, Chen Hu, Binxing Jiao, Daxin Jiang, Yuntao Du, Pin Lyu
2026	J	`jnl`	M3MAD-Bench: Are Multi-Agent Debates Really Effective Across Domains and Modalities? CoRR Ao Li, Jinghui Zhang, Luyu Li, Yuxiang Duan, Lang Gao, Mingcai Chen, Weijun Qin, Shaopeng Li, Fengxian Ji, Ning Liu, Lizhen Cui, Xiuying Chen, Yuntao Du
2026	J	`jnl`	MMKU-Bench: A Multimodal Update Benchmark for Diverse Visual Knowledge. CoRR Baochen Fu, Yuntao Du, Cheng Chang, Baihao Jin, Wenzhi Deng, Muhao Xu, Hongmei Yan, Weiye Song, Yi Wan
2026	J	`jnl`	Uncertainty and diversity based selection for active learning in vision-language models. Inf. Fusion Fan Yang, Kejun Ren, Jiahao Shen, Mingcai Chen, Yuntao Du
2025	J	`jnl`	Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. CoRR Yifan Jia, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Dongrui Liu, Lizhen Cui, Yuntao Du
2025	J	`jnl`	Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models. CoRR Tianfan Peng, Yuntao Du, Pengzhou Ji, Shijie Dong, Kailin Jiang, Mingchuan Ma, Yijun Tian, Jinhe Bi, Qian Li, Wei Du, Feng Xiao, Lizhen Cui
2025	J	`jnl`	Enhancing few-shot out-of-distribution intent detection by reducing attention misallocation. Neurocomputing Hengyang Lu, Jiaming Zhang, Yuntao Du, Chang Xia, Chongjun Wang, Wei Fang, Xiao-Jun Wu
2025	J	`jnl`	GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging. CoRR Ziyi Ni, Huacan Wang, Shuo Zhang, Shuo Lu, Ziyang He, Wang You, Zhenheng Tang, Yuntao Du, Bill Sun, Hongzhang Liu, Sen Hu, Ronghao Chen, Bo Li, Xin Li, Chen Hu, Binxing Jiao, Daxin Jiang, Pin Lyu
2025	J	`jnl`	KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Augmentations and Constraints. CoRR Kailin Jiang, Hongbo Jiang, Ning Jiang, Zhi Gao, Jinhe Bi, Yuchen Ren, Bin Li, Yuntao Du, Lei Liu, Qing Li
2025	J	`jnl`	LaplaceConfidence: A graph-based approach for learning with noisy labels. Intell. Data Anal. Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Chongjun Wang
2025	—	`conf`	Learning SQL Like a Human: Structure-Aware Curriculum Learning for Text-to-SQL Generation. EMNLP (Findings) Xiaohu Zhu, Qian Li, Lizhen Cui, Yuntao Du
2025	J	`jnl`	Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning. CoRR Shuai Feng, Yuxin Ge, Yuntao Du, Mingcai Chen, Chongjun Wang, Lei Feng
2025	A*	`conf`	MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge. ICLR Yuntao Du, Kailin Jiang, Zhi Gao, Chenrui Shi, Zilong Zheng, Siyuan Qi, Qing Li
2025	J	`jnl`	MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge. CoRR Yuntao Du, Kailin Jiang, Zhi Gao, Chenrui Shi, Zilong Zheng, Siyuan Qi, Qing Li
2025	J	`jnl`	MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media. CoRR Rui Lu, Jinhe Bi, Yunpu Ma, Feng Xiao, Yuntao Du, Yijun Tian
2025	J	`jnl`	MuSIA: Exploiting multi-source information fusion with abnormal activations for out-of-distribution detection. Neural Networks Hengyang Lu, Xin Guo, Wenyu Jiang, Chenyou Fan, Yuntao Du, Zhenhao Shao, Wei Fang, Xiaojun Wu
2025	J	`jnl`	Multi-source fully test-time adaptation. Neural Networks Yuntao Du, Siqi Luo, Yi Xin, Mingcai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang
2025	J	`jnl`	RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation. CoRR Zhichao Xu, Minheng Wang, Yawei Wang, Wenqian Ye, Yuntao Du, Yunpu Ma, Yijun Tian
2025	J	`jnl`	RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving. CoRR Huacan Wang, Ziyi Ni, Shuo Zhang, Shuo Lu, Sen Hu, Ziyang He, Chen Hu, Jiaye Lin, Yifu Guo, Yuntao Du, Pin Lyu
2025	A*	`conf`	Robust Logit Adjustment for Learning with Long-Tailed Noisy Data. AAAI Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang
2025	A*	`conf`	Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data. ICML Mingcai Chen, Baoming Zhang, Zongbo Han, Wenyu Jiang, Yanmeng Wang, Shuai Feng, Yuntao Du, Bingkun Bao
2025	J	`jnl`	When Large Multimodal Models Confront Evolving Knowledge:Challenges and Pathways. CoRR Kailin Jiang, Yuntao Du, Yukai Ding, Yuchen Ren, Ning Jiang, Zhi Gao, Zilong Zheng, Lei Liu, Bin Li, Qing Li
2024	A*	`conf`	CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update. CVPR Zhi Gao, Yuntao Du, Xintong Zhang, Xiaojian Ma, Wenjuan Han, Song-Chun Zhu, Qing Li
2024	J	`jnl`	Enhancing Test Time Adaptation with Few-shot Guidance. CoRR Siqi Luo, Yi Xin, Yuntao Du, Zhongwei Wan, Tao Tan, Guangtao Zhai, Xiaohong Liu
2024	J	`jnl`	Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation. Mach. Learn. Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Yi Xin, Chongjun Wang
2024	J	`jnl`	Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey. CoRR Yi Xin, Siqi Luo, Haodi Zhou, Junlong Du, Xiaohong Liu, Yue Fan, Qing Li, Yuntao Du
2024	A*	`conf`	V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. NeurIPS Yi Xin, Siqi Luo, Xuyang Liu, Yuntao Du, Haodi Zhou, Xinyu Cheng, Christina E. Lee, Junlong Du, Haozhe Wang, Mingcai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu
2024	J	`jnl`	VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding. CoRR Yue Fan, Xiaojian Ma, Rujie Wu, Yuntao Du, Jiaqi Li, Zhi Gao, Qing Li
2024	—	`conf`	🤖 VideoAgent: A Memory-Augmented Multimodal Agent for Video Understanding. ECCV (22) Yue Fan, Xiaojian Ma, Rujie Wu, Yuntao Du, Jiaqi Li, Zhi Gao, Qing Li
2023	J	`jnl`	Bidirectional View based Consistency Regularization for Semi-Supervised Domain Adaptation. Trans. Mach. Learn. Res. Yuntao Du, Juan Jiang, Hongtao Luo, Haiyang Yang, Mingcai Chen, Chongjun Wang
2023	A	`conf`	CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection. SDM Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Yuxin Ge, Chongjun Wang
2023	J	`jnl`	CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update. CoRR Zhi Gao, Yuntao Du, Xintong Zhang, Xiaojian Ma, Wenjuan Han, Song-Chun Zhu, Qing Li
2023	J	`jnl`	LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels. CoRR Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Hao Cheng, Shuwei Qian, Chongjun Wang
2023	—	`conf`	Self-Training with Label-Feature-Consistency for Domain Adaptation. DASFAA (4) Yi Xin, Siqi Luo, Pengsheng Jin, Yuntao Du, Chongjun Wang
2023	A*	`conf`	Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. AAAI Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang
2022	—	`conf`	InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation. ECML/PKDD (1) Yuntao Du, Hongtao Luo, Haiyang Yang, Juan Jiang, Chongjun Wang
2022	—	`conf`	Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation. PAKDD (1) Fengli Cui, Yinghao Chen, Yuntao Du, Yikang Cao, Chongjun Wang
2022	J	`jnl`	Learning transferable and discriminative features for unsupervised domain adaptation. Intell. Data Anal. Yuntao Du, Ruiting Zhang, Xiaowen Zhang, Yirong Yao, Hengyang Lu, Chongjun Wang
2022	A*	`conf`	Semi-supervised Learning with Multi-Head Co-Training. AAAI Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang
2022	J	`jnl`	Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting. CoRR Le Zhao, Mingcai Chen, Yuntao Du, Haiyang Yang, Chongjun Wang
2021	A	`conf`	AdaRNN: Adaptive Learning and Forecasting of Time Series. CIKM Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang
2021	J	`jnl`	AdaRNN: Adaptive Learning and Forecasting of Time Series. CoRR Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang
2021	A	`conf`	Adversarial Separation Network for Cross-Network Node Classification. CIKM Xiaowen Zhang, Yuntao Du, Rongbiao Xie, Chongjun Wang
2021	—	`conf`	Cross-Domain Error Minimization for Unsupervised Domain Adaptation. DASFAA (2) Yuntao Du, Yinghao Chen, Fengli Cui, Xiaowen Zhang, Chongjun Wang
2021	J	`jnl`	Cross-domain error minimization for unsupervised domain adaptation. CoRR Yuntao Du, Yinghao Chen, Fengli Cui, Xiaowen Zhang, Chongjun Wang
2021	—	`conf`	DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning. DASFAA (1) Hualei Yu, Chong Luo, Yuntao Du, Hao Cheng, Meng Cao, Chongjun Wang
2021	J	`jnl`	Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation. CoRR Yuntao Du, Haiyang Yang, Mingcai Chen, Juan Jiang, Hongtao Luo, Chongjun Wang
2021	B	`conf`	Nested Dense Attention Network for Single Image Super-Resolution. ICMR Cheng Qiu, Yirong Yao, Yuntao Du
2021	—	`conf`	Self Separation and Misseparation Impact Minimization for Open-Set Domain Adaptation. DASFAA (2) Yuntao Du, Yikang Cao, Yumeng Zhou, Yinghao Chen, Ruiting Zhang, Chongjun Wang
2021	J	`jnl`	Semi-Supervised Learning with Multi-Head Co-Training. CoRR Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang
2021	J	`jnl`	SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. Data Technol. Appl. Heng-Yang Lu, Yi Zhang, Yuntao Du
2021	J	`jnl`	Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. CoRR Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang
2021	—	`conf`	Unsupervised Domain Adaptation with Unified Joint Distribution Alignment. DASFAA (2) Yuntao Du, Zhiwen Tan, Xiaowen Zhang, Yirong Yao, Hualei Yu, Chongjun Wang
2020	J	`jnl`	Dual Adversarial Domain Adaptation. CoRR Yuntao Du, Zhiwen Tan, Qian Chen, Xiaowen Zhang, Yirong Yao, Chongjun Wang
2020	A	`conf`	Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. ECAI Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang
2020	B	`conf`	Mining Knowledge within Categories in Global and Local Fashion for Multi-Label Text Classification. IJCNN Sheng Bi, Peng Shi, Yuntao Du, Bin Jin, LingShuang Yu
2020	—	`conf`	Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconstruction Networks. ECML/PKDD (2) Qian Chen, Yuntao Du, Zhiwen Tan, Yi Zhang, Chongjun Wang
2020	J	`jnl`	Unsupervised domain adaptation with exploring more statistics and discriminative information. CoRR Yuntao Du, Ruiting Zhang, Yikang Cao, Xiaowen Zhang, Zhiwen Tan, Chongjun Wang
2019	J	`jnl`	Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. CoRR Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang
2018	B	`conf`	HetEOTL: An Algorithm for Heterogeneous Online Transfer Learning. ICTAI Qian Chen, Yuntao Du, Ming Xu, Chong-Jun Wang