Yixiong Zou

According to our database, Yixiong Zou authored at least 70 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rethinking Graph Contrastive Learning for Heterophilic Graphs: An Effective Method for Heterophilic GCL Methods With Regularization and Stabilization Techniques Enhanced High-Pass Filter.

Han Chen, Yuhua Li, Yixiong Zou, Keke Huang, Rui Zhang, Ruixuan Li, Philip S. Yu

IEEE Trans. Knowl. Data Eng., May, 2026

Few-Shot Object Detection via Spatial-Channel State Space Model.

Zhimeng Xin, Tianxu Wu, Yixiong Zou, Shiming Chen, Dingjie Fu, Xinge You

IEEE Trans. Circuits Syst. Video Technol., May, 2026

Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning.

Shuai Yi, Yixiong Zou, Yuhua Li, Ruixuan Li

CoRR, May, 2026

GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object Detection.

Jiacong Liu, Shu Luo, Yikai Qin, Yaze Zhao, Yongwei Jiang, Yixiong Zou

CoRR, May, 2026

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning.

Shuai Yi, Yixiong Zou, Yuhua Li, Ruixuan Li

CoRR, May, 2026

Reviving In-domain Fine-tuning Methods for Source-Free Cross-domain Few-shot Learning.

Yaze Zhao, Yicong Liu, Yixiong Zou, Yuhua Li, Ruixuan Li

CoRR, May, 2026

The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results.

Xingyu Qiu, Yuqian Fu, Jiawei Geng, Bin Ren, Jiancheng Pan, Zongwei Wu, Hao Tang, Yanwei Fu, Radu Timofte, Nicu Sebe, Mohamed Elhoseiny, Lingyi Hong, Mingxi Cheng, Xingqi He, Runze Li, Xingdong Sheng, Wenqiang Zhang, Jiacong Liu, Shu Luo, Yikai Qin, Yaze Zhao, Yongwei Jiang, Yixiong Zou, Zhe Zhang, Yang Yang, Kaiyu Li, Bowen Fu, Zixuan Jiang, Ke Li, Hui Qiao, Xiangyong Cao, Xuanlong Yu, Youyang Sha, Longfei Liu, Di Yang, Xi Shen, Kyeongryeol Go, Taewoong Jang, Saiprasad Meesiyawar, Ravi Kirasur, Rakshita Kulkarni, Bhoomi Deshpande, Harsh Patil, Uma Mudenagudi, Shuming Hu, Chao Chen, Tao Wang, Wei Zhou, Qi Xu, Zhenzhao Xing, Dandan Zhao, Hanzhe Xia, Dongdong Lu, Zhe Zhang, Jingru Wang, Guangwei Huang, Jiachen Tu, Yaokun Shi, Guoyi Xu, Yaoxin Jiang, Jiajia Liu, Liwei Zhou, Bei Dou, Tao Wu, Zekang Fan, Junjie Liu, Adhémar de Senneville, Flavien Armangeon, Mengbers, Yazhe Lyu, Zhimeng Xin, Zijian Zhuang, Hongchun Zhu, Li Wang

CoRR, April, 2026

Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models.

Shilin Yan, Jintao Tong, Hongwei Xue, Xiaojun Tang, Yangyang Wang, Kunyu Shi, Guannan Zhang, Ruixuan Li, Yixiong Zou

CoRR, April, 2026

Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection.

Yongwei Jiang, Yixiong Zou, Yuhua Li, Ruixuan Li

CoRR, March, 2026

Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment.

Yaze Zhao, Yixiong Zou, Yuhua Li, Ruixuan Li

CoRR, March, 2026

Mind the Discriminability Trap in Source-Free Cross-domain Few-shot Learning.

Zhenyu Zhang, Yixiong Zou, Yuhua Li, Ruixuan Li, Guangyao Chen

CoRR, March, 2026

Reclaiming Lost Text Layers for Source-Free Cross-Domain Few-Shot Learning.

Zhenyu Zhang, Guangyao Chen, Yixiong Zou, Yuhua Li, Ruixuan Li

CoRR, March, 2026

E-VAds: An E-commerce Short Videos Understanding Benchmark for MLLMs.

Xianjie Liu, Yiman Hu, Liang Wu, Ping Hu, Yixiong Zou, Jian Xu, Bo Zheng

CoRR, February, 2026

SwimBird: Eliciting Switchable Reasoning Mode in Hybrid Autoregressive MLLMs.

Jintao Tong, Shilin Yan, Hongwei Xue, Xiaojun Tang, Kunyu Shi, Guannan Zhang, Ruixuan Li, Yixiong Zou

CoRR, February, 2026

Alleviating noise memorization for adversarially robust few-shot learning.

Yiman Hu, Yixiong Zou, Xiaosen Wang, Yuhua Li, Kun He, Ruixuan Li

Neural Networks, 2026

Community-strength-based fairness in GNN explanations for heterogeneous link prediction.

Yanhong Wen, Yuhua Li, Yao Wu, Yixiong Zou, Kai Shu, Quan Fu, Ruixuan Li

Expert Syst. Appl., 2026

Rethinking Graph Generalization through the Lens of Sharpness-Aware Minimization.

Yang Qiu, Yixiong Zou, Jun Wang

Proceedings of the ACM Web Conference 2026, 2026

Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning.

Zhenyu Zhang, Guangyao Chen, Yixiong Zou, Zhimeng Huang, Yuhua Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Start Small, Think Big: Curriculum-based Relative Policy Optimization for Visual Grounding.

Qingyang Yan, Guangyao Chen, Yixiong Zou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning.

Liqin Luo, Guangyao Chen, Xiawu Zheng, Yongxing Dai, Yixiong Zou, Yonghong Tian

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Sketch-in-Latents: Eliciting Unified Reasoning in MLLMs.

Jintao Tong, Jiaqi Gu, Yujing Lou, Lubin Fan, Yixiong Zou, Yue Wu, Jieping Ye, Ruixuan Li

CoRR, December, 2025

Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization.

Yang Qiu, Yixiong Zou, Jun Wang, Wei Liu, Xiangyu Fu, Ruixuan Li

CoRR, October, 2025

HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling.

Xianjie Liu, Yiman Hu, Yixiong Zou, Liang Wu, Jian Xu, Bo Zheng

CoRR, October, 2025

Adversarial Feature Training for Few-Shot Object Detection.

Tianxu Wu, Zhimeng Xin, Shiming Chen, Yixiong Zou, Xinge You

IEEE Trans. Circuits Syst. Video Technol., September, 2025

A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective.

Ziwen Zhao, Yixin Su, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang

IEEE Trans. Knowl. Data Eng., August, 2025

Training-free Anomaly Event Detection via LLM-guided Symbolic Pattern Discovery.

Yuhui Zeng, Haoxiang Wu, Wenjie Nie, Guangyao Chen, Xiawu Zheng, Yunhang Shen, Guilin Li, Yixiong Zou, Yonghong Tian, Rongrong Ji

CoRR, February, 2025

Toward Realistic Camouflaged Object Detection: Benchmarks and Method.

Zhimeng Xin, Tianxu Wu, Shiming Chen, Shuo Ye, Zijing Xie, Yixiong Zou, Xinge You, Yufei Guo

CoRR, January, 2025

Community-influencing path explanation for link prediction in heterogeneous graph neural network.

Yanhong Wen, Yuhua Li, Yixiong Zou, Kai Shu, Han Chen, Ziwen Zhao, Jinxian Ye, Quan Fu, Ruixuan Li

Neural Networks, 2025

Fair path explanations for heterogeneous link prediction from a community perspective.

Yanhong Wen, Yuhua Li, Yao Wu, Yixiong Zou, Yujie Zhu, Quan Fu, Ruixuan Li

Knowl. Based Syst., 2025

Unified Category and Style Generalization for Instance-Level Sketch Retrieval.

Zechao Hu, Zhengwei Yang, Hao Li, Yixiong Zou, Fengbin Zhu, Zheng Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models.

Jintao Tong, Wenwei Jin, Pengda Qin, Anqi Li, Yixiong Zou, Yuhong Li, Yuhua Li, Ruixuan Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

EmoSync: Multi-Stage Reasoning with Multimodal Large Language Models for Fine-Grained Emotion Recognition.

Jintao Tong, Shiwei Li, Zijian Zhuang, Jinghan Hu, Yixiong Zou

Proceedings of the 3rd International Workshop on Multimodal and Responsible Affective Computing, 2025

Random Registers for Cross-Domain Few-Shot Learning.

Shuai Yi, Yixiong Zou, Yuhua Li, Ruixuan Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning.

Shuai Yi, Yixiong Zou, Yuhua Li, Ruixuan Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation.

Jintao Tong, Yixiong Zou, Guangyao Chen, Yuhua Li, Ruixuan Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation.

Jintao Tong, Ran Ma, Yixiong Zou, Guangyao Chen, Yuhua Li, Ruixuan Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Revisiting Pool-Based Prompt Learning for Few-Shot Class-Incremental Learning.

Yongwei Jiang, Yixiong Zou, Yuhua Li, Ruixuan Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Cross-Category Subjectivity Generalization for Style-Adaptive Sketch Re-ID.

Zechao Hu, Zhengwei Yang, Hao Li, Zheng Wang, Yixiong Zou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation.

Yuhan Liu, Yixiong Zou, Yuhua Li, Ruixuan Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results.

Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu, Radu Timofte, Nicu Sebe, Ming-Hsuan Yang, Luc Van Gool, Kaijin Zhang, Qingpeng Nong, Xiugang Dong, Hong Gao, Xiangsheng Zhou, Jiancheng Pan, Yanxing Liu, Xiao He, Jiahao Li, Yuze Sun, Xiaomeng Huang, Zhenyu Zhang, Ran Ma, Yuhan Liu, Zijian Zhuang, Shuai Yi, Yixiong Zou, Lingyi Hong, Mingxi Chen, Runze Li, Xingdong Sheng, Wenqiang Zhang, Weisen Chen, Yongxin Yan, Xinguo Chen, Yuanjie Shao, Zhengrong Zuo, Nong Sang, Hao Wu, Haoran Sun, Shuming Hu, Yan Zhang, Zhiguang Shi, Yu Zhang, Chao Chen, Tao Wang, Da Feng, Linhai Zhuo, Ziming Lin, Yali Huang, Jie Me, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu, Maomao Xiong, Qunshu Zhang, Xinyu Cao, Yuqing Yang, Dianmo Sheng, Xuanpu Zhao, Zhiyu Li, Xuyang Ding, Wenqian Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning.

Ran Ma, Yixiong Zou, Yuhua Li, Ruixuan Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection.

Zhimeng Xin, Tianxu Wu, Shiming Chen, Yixiong Zou, Ling Shao, Xinge You

IEEE Trans. Image Process., 2024

Spectral Decomposition and Transformation for Cross-domain Few-shot Learning.

Yicong Liu, Yixiong Zou, Ruixuan Li, Yuhua Li

Neural Networks, 2024

DCMSL: Dual influenced community strength-boosted multi-scale graph contrastive learning.

Han Chen, Yuhua Li, Philip S. Yu, Yixiong Zou, Ruixuan Li

Knowl. Based Syst., 2024

A Survey on Self-Supervised Pre-Training of Graph Foundation Models: A Knowledge-Based Perspective.

Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang

CoRR, 2024

Masked Graph Autoencoder with Non-discrete Bandwidths.

Ziwen Zhao, Yuhua Li, Yixiong Zou, Jiliang Tang, Ruixuan Li

Proceedings of the ACM on Web Conference 2024, 2024

A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning.

Yixiong Zou, Shuai Yi, Yuhua Li, Ruixuan Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning.

Yixiong Zou, Ran Ma, Yuhua Li, Ruixuan Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation.

Jintao Tong, Yixiong Zou, Yuhua Li, Ruixuan Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Generate Universal Adversarial Perturbations for Few-Shot Learning.

Yiman Hu, Yixiong Zou, Ruixuan Li, Yuhua Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning.

Zhenyu Zhang, Guangyao Chen, Yixiong Zou, Zhimeng Huang, Yuhua Li, Ruixuan Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-shot Open-Set Recognition.

Zhenyu Zhang, Guangyao Chen, Yixiong Zou, Yuhua Li, Ruixuan Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning.

Haichen Zhou, Yixiong Zou, Ruixuan Li, Yuhua Li, Kui Xiao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Compositional Few-Shot Class-Incremental Learning.

Yixiong Zou, Shanghang Zhang, Haichen Zhou, Yuhua Li, Ruixuan Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning.

Yixiong Zou, Yicong Liu, Yiman Hu, Yuhua Li, Ruixuan Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dynamic Knowledge Adapter with Probabilistic Calibration for Generalized Few-Shot Semantic Segmentation.

Jintao Tong, Haichen Zhou, Yicong Liu, Yiman Hu, Yixiong Zou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling.

Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SSTP: Social and Spatial-Temporal Aware Next Point-of-Interest Recommendation.

Junzhuang Wu, Yujing Zhang, Yuhua Li, Yixiong Zou, Ruixuan Li, Zhenyu Zhang

Data Sci. Eng., December, 2023

Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint.

Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CSGCL: Community-Strength-Enhanced Graph Contrastive Learning.

Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection.

Lantian Xue, Yixiong Zou, Peixi Peng, Yonghong Tian, Tiejun Huang

CoRR, 2022

Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation.

Yixiong Zou, Shanghang Zhang, Yuhua Li, Ruixuan Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition.

Yixiong Zou, Shanghang Zhang, Jianpeng Yu, Yonghong Tian, José M. F. Moura

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Annotation-Efficient Untrimmed Video Action Recognition.

Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Adaptation-Oriented Feature Projection for One-Shot Action Recognition.

Yixiong Zou, Yemin Shi, Daochen Shi, Yaowei Wang, Yongsheng Liang, Yonghong Tian

IEEE Trans. Multim., 2020

Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition.

Yixiong Zou, Shanghang Zhang, José M. F. Moura, Jianpeng Yu, Yonghong Tian

CoRR, 2020

Compositional Few-Shot Recognition with Primitive Discovery and Enhancing.

Yixiong Zou, Shanghang Zhang, Ke Chen, Yonghong Tian, Yaowei Wang, José M. F. Moura

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2018

Fast Compressed Domain Copy Detection with Motion Vector Imaging.

Yuanyuan Yang, Yixiong Zou, Yemin Shi, Qingsheng Yuan, Yaowei Wang, Yonghong Tian

Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Hierarchical Temporal Memory Enhanced One-Shot Distance Learning for Action Recognition.

Yixiong Zou, Yemin Shi, Yaowei Wang, Yu Shu, Qingsheng Yuan, Yonghong Tian

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

ODN: Opening the Deep Network for Open-Set Action Recognition.

Yemin Shi, Yaowei Wang, Yixiong Zou, Qingsheng Yuan, Yonghong Tian, Yu Shu

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018