Jiexi Yan

According to our database, Jiexi Yan authored at least 35 papers between 2018 and 2026.

Collaborative distances:

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

2026

Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation.

Yujia Cai, Boxuan Li, Chenghao Xu, Jiexi Yan

CoRR, May, 2026

Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMs.

Guangtao Lyu, Qi Liu, Chenghao Xu, Jiexi Yan, Muli Yang, Xueting Li, Fen Fang, Cheng Deng

CoRR, February, 2026

Towards Interpretable Hallucination Analysis and Mitigation in LVLMs via Contrastive Neuron Steering.

Guangtao Lyu, Xinyi Cheng, Qi Liu, Chenghao Xu, Jiexi Yan, Muli Yang, Fen Fang, Cheng Deng

CoRR, February, 2026

Beyond Global Alignment: Fine-Grained Motion-Language Retrieval via Pyramidal Shapley-Taylor Learning.

Hanmo Chen, Guangtao Lyu, Chenghao Xu, Jiexi Yan, Xu Yang, Cheng Deng

CoRR, January, 2026

Editing Is a Bargaining Game: Balanced Knowledge Editing in Large Language Models.

Chenghao Xu, Jiexi Yan, Muli Yang, Fen Fang, Huilin Chen, Cheng Deng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Channel-masked Asymmetric Distribution Matching for Cross-Domain Generalized Dataset Distillation.

Qi Liu, Chenghao Xu, Jiexi Yan, Guangtao Lyu, Erkun Yang, Guihai Chen, Yanhua Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning.

Xinyi Cheng, Chenghao Xu, Xi Wang, Jiexi Yan, Yanhua Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Towards Arbitrary Motion Completing via Hierarchical Continuous Representation.

Chenghao Xu, Guangtao Lyu, Qi Liu, Jiexi Yan, Muli Yang, Cheng Deng

CoRR, December, 2025

A Turn Toward Better Alignment: Few-Shot Generative Adaptation with Equivariant Feature Rotation.

Chenghao Xu, Qi Liu, Jiexi Yan, Muli Yang, Cheng Deng

CoRR, December, 2025

Revealing Perception and Generation Dynamics in LVLMs: Mitigating Hallucinations via Validated Dominance Correction.

Guangtao Lyu, Xinyi Cheng, Chenghao Xu, Qi Liu, Muli Yang, Fen Fang, Huilin Chen, Jiexi Yan, Xu Yang, Cheng Deng

CoRR, December, 2025

Tempo as the Stable Cue: Hierarchical Mixture of Tempo and Beat Experts for Music to 3D Dance Generation.

Guangtao Lyu, Chenghao Xu, Qi Liu, Jiexi Yan, Muli Yang, Fen Fang, Cheng Deng

CoRR, December, 2025

AStF: Motion Style Transfer via Adaptive Statistics Fusor.

Hanmo Chen, Chenghao Xu, Jiexi Yan, Cheng Deng

CoRR, November, 2025

A Tale of Two Experts: Cooperative Learning for Source-Free Unsupervised Domain Adaptation.

Jiaping Yu, Muli Yang, Jiapeng Ji, Jiexi Yan, Cheng Deng

CoRR, September, 2025

Bilevel Direction Preserving for Few-Shot Open-Set Recognition.

Zihui Zhang, Chenghao Xu, Jiexi Yan, Cheng Deng

IEEE Trans. Multim., 2025

Keep and Extent: Unified Knowledge Embedding for Few-Shot Image Generation.

Chenghao Xu, Jiexi Yan, Cheng Deng

IEEE Trans. Image Process., 2025

CLIP-based autonomous visual prompting for unsupervised domain incremental learning.

Jiaping Yu, Muli Yang, Jiexi Yan, Cheng Deng

Neurocomputing, 2025

AStF: Motion Style Tranfer via Adaptive Statistics Fusor.

Hanmo Chen, Chenghao Xu, Jiexi Yan, Cheng Deng

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Images.

Yanguang Sun, Jiexi Yan, Jianjun Qian, Chunyan Xu, Jian Yang, Lei Luo

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization.

Guangtao Lyu, Chenghao Xu, Jiexi Yan, Muli Yang, Cheng Deng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exploring Implicit Relations for Fine-Grained Generalized Category Discovery.

Jiexi Yan, Xinyi Cheng, Chenghao Xu, Cheng Deng

Proceedings of the Image and Graphics - 13th International Conference, 2025

Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels.

Chenyu Mu, Yijun Qu, Jiexi Yan, Erkun Yang, Cheng Deng

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

Straighten Viscous Rectified Flow via Noise Optimization.

Jimin Dai, Jiexi Yan, Jian Yang, Lei Luo

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

2024

Causality-Invariant Interactive Mining for Cross-Modal Similarity Learning.

Jiexi Yan, Cheng Deng, Heng Huang, Wei Liu

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

Implicit Compositional Generative Network for Length-Variable Co-Speech Gesture Synthesis.

Chenghao Xu, Jiexi Yan, Yanhua Yang, Cheng Deng

IEEE Trans. Multim., 2024

Rethinking Noise Sampling in Class-Imbalanced Diffusion Models.

Chenghao Xu, Jiexi Yan, Muli Yang, Cheng Deng

IEEE Trans. Image Process., 2024

Retrieval Across Any Domains via Large-scale Pre-trained Model.

Jiexi Yan, Zhihui Yin, Chenghao Xu, Cheng Deng, Heng Huang

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

LLM Knows Body Language, Too: Translating Speech Voices into Human Gestures.

Chenghao Xu, Guangtao Lyu, Jiexi Yan, Muli Yang, Cheng Deng

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval.

Zhihui Yin, Jiexi Yan, Chenghao Xu, Cheng Deng

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

2023

Adaptive Hierarchical Similarity Metric Learning With Noisy Labels.

Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang

IEEE Trans. Image Process., 2023

Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning.

Jiexi Yan, Zhihui Yin, Erkun Yang, Yanhua Yang, Heng Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning.

Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang

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

Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning.

Jiexi Yan, Lei Luo, Chenghao Xu, Cheng Deng, Heng Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval.

Zhipeng Wang, Hao Wang, Jiexi Yan, Aming Wu, Cheng Deng

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Unsupervised Hyperbolic Metric Learning.

Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2018

Dictionary Learning in Optimal Metric Space.

Jiexi Yan, Cheng Deng, Xianglong Liu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018