Publications论文

Papers & patents. 论文与专利。

Seven peer-reviewed papers and two granted invention patents. * corresponding author · † equal contribution.

七篇同行评审论文与两项已授权发明专利。* 通讯作者 · † 同等贡献。

Peer-reviewed同行评审

Journal and conference papers.期刊与会议论文。

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2026

Gauge-Equivariant Attention for Rotation-Stable 360° Scene Understanding (EquiSSL)

Tianjian Zhou, Yishan Li, Jie Jiang*, Yifei Zhang

ACM Transactions on Graphics, Vol. 45, No. 6, Article 242

CCF-A ACM TOG SIGGRAPH Asia '26

TL;DR — Removes gauge dependence from spherical attention with a parameter-free Reynolds average, cutting the 90° rotation drop from 53% to 0.8%.

一句话总结——以无参数的 Reynolds 平均消除球面注意力中的规范依赖,将 90° 旋转下的性能下降从 53% 降至 0.8%。

2026

DAGA: Dynamic Attention-Guided Adaptation for Self-Supervised Vision Transformers

Tianjian Zhou†, Jie Jiang†, Yishan Li*, Yifei Zhang*

Advances in Neural Information Processing Systems (NeurIPS 2026)

CCF-A NeurIPS

TL;DR — A dynamic, parameter-efficient adapter for frozen self-supervised vision transformers, improving downstream transfer.

一句话总结——面向冻结自监督视觉 Transformer 的动态参数高效适配器,提升下游迁移性能。

2026

CMAE: Contrastive Manifold Autoencoder for Efficient Latent Diffusion

Tianjian Zhou*†, Yishan Li*†, Jie Jiang†*, Liang Bai, Yifei Zhang

IEEE International Conference on Multimedia and Expo (ICME 2026) · Oral

CCF-B IEEE ICME Oral

TL;DR — Replaces VAE latents with contrastive manifold autoencoding, preserving high-frequency detail and accelerating diffusion sampling by 2.1×.

一句话总结——以对比流形自编码替代 VAE 潜空间,保留高频细节,并将扩散采样加速约 2.1 倍。

2026

Less Is More: Minimal Components for Contrastive Learning Delivering Superior Accuracy and Efficiency (CORE)

Tianjian Zhou, Yishan Li, Lixin Zhan, Jie Jiang*

IEEE Transactions on Neural Networks and Learning Systems

CCF-B IEEE TNNLS

TL;DR — Deconstructs contrastive learning to its minimal sufficient components; 42% less compute with higher linear-probe accuracy.

一句话总结——把对比学习拆解到最小充分组件;计算量减少 42%,线性探测精度反而更高。

2026

Semantic-Guided Data Augmentation for Self-Supervised Visual Pattern Learning: Leveraging Foundation Model Priors (SDI)

Tianjian Zhou, Jie Jiang*, Yishan Li, Lixin Zhan, Rui Qi, Liang Bai

Pattern Recognition (Elsevier), Vol. 160

CCF-B Pattern Recognition

TL;DR — Generates semantically consistent counterfactual variants from foundation-model priors, preventing feature collapse under heavy augmentation.

一句话总结——利用基础模型先验生成语义一致的反事实样本,避免强增广下的特征坍缩。

2026

HTNet: A Self-Supervised Heterogeneous Triple Network for Multi-Modal Data

Tianjian Zhou, Yishan Li, Lixin Zhan, Jie Jiang*

Neural Networks (Elsevier), Vol. 178

CCF-B Neural Networks

TL;DR — A heterogeneous triple network for unaligned multi-modal data, handling asymmetric cross-modal information without paired annotations.

一句话总结——面向未对齐多模态数据的异构三重网络,在无配对标注下处理非对称跨模态信息。

2026

TriCM-Net: Triple Cross-Modal Interaction for Infrared–Visible Abnormal Behavior Recognition

Jie Jiang*, Tianjian Zhou†, Yishan Li†

Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2026)

CCF-C PRCV

TL;DR — Triple cross-modal interaction that pairs infrared localization with visible semantic texture for round-the-clock abnormal behaviour recognition.

一句话总结——三重跨模态交互,将红外定位与可见光语义纹理结合,实现全天候异常行为识别。

Patents专利

Granted invention patents.已授权发明专利。

Image feature extraction method based on a self-supervised triple neural network 基于自监督三重神经网络的图像特征提取方法

National invention patent · granted by CNIPA 国家发明专利 · 国家知识产权局授权

Publication no. CN119540575B · Application no. 202510094080.X
Granted 2025-04-08 · Patentee: National University of Defense Technology
Inventors: Jie Jiang, Tianjian Zhou, Yishan Li, et al.
授权公告号 CN119540575B · 申请号 202510094080.X
授权公告日 2025-04-08 · 专利权人:国防科技大学
发明人:蒋捷、周天健、李易珊 等

Multi-scale semantic information enhancement method and apparatus for improving contrastive learning models 提升对比学习模型性能的多尺度语义信息增强方法和装置

National invention patent · granted by CNIPA 国家发明专利 · 国家知识产权局授权

Publication no. CN119580024B · Application no. 202510112998.2
Granted 2025-04-15 · Patentee: National University of Defense Technology
Inventors: Jie Jiang, Tianjian Zhou, Yishan Li, et al.
授权公告号 CN119580024B · 申请号 202510112998.2
授权公告日 2025-04-15 · 专利权人:国防科技大学
发明人:蒋捷、周天健、李易珊 等