Publications论文

Peer-reviewed work. 同行评审成果。

Ten papers across graphics, representation learning and visual perception, plus four granted national invention patents. Every entry links to the paper, the code where available, and a BibTeX record. 十篇论文,覆盖图形学、表征学习与视觉感知,另有四项授权国家发明专利。每条记录都附有论文链接、可获取的代码与 BibTeX 条目。

* Corresponding author  ·  † Equal contribution * 通讯作者  ·  † 共同第一作者(同等贡献)

Peer-reviewed同行评审

Ten papers, 2025–2026.十篇论文,2025–2026。

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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, 2026

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% and lifting 1%-label fine-tuning by +2.39 mIoU.

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° 旋转下的精度下降从 53% 降至 0.8%,并使 1% 标签微调提升 +2.39 mIoU。

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-ANeurIPS

TL;DR — A dynamic, parameter-efficient adapter for frozen self-supervised ViTs that modulates the attention distribution for dense visual transfer.

一句话总结——面向冻结自监督 ViT 的动态参数高效适配器,自适应调整注意力分布以服务稠密视觉迁移。

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, 2026

IEEE TNNLS CCF-B CAS Tier 1

TL;DR — Systematically deconstructs contrastive learning frameworks and shows that removing momentum encoders and deep projectors saves 42% of training compute while improving linear-probe accuracy.

一句话总结——系统拆解对比学习框架,证明去掉动量编码器与深层投影头可节省 42% 训练计算,同时提升线性探测精度。

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, Vol. 160, 2026

Pattern Recognition CCF-B CAS Tier 1

TL;DR — Uses diffusion foundation-model priors to synthesize semantically consistent counterfactual views, preventing feature collapse under heavy augmentation.

一句话总结——利用扩散基础模型先验合成语义一致的反事实视图,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, Vol. 178, 2026

Neural NetworksCCF-B

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

一句话总结——面向未对齐多模态表征学习的异构三重网络,在无配对标注条件下处理非对称跨模态信息。

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 presentation

IEEE ICMECCF-BOral

TL;DR — Replaces lossy VAE latents with a contrastive manifold autoencoder, preserving high-frequency edge structure while speeding up diffusion sampling by 2.1×.

一句话总结——以对比流形自编码器替代有损 VAE 潜空间,在保留高频边缘结构的同时将扩散采样加速 2.1 倍。

2026

P-SLCR: Unsupervised Point Cloud Semantic Segmentation via Prototypes Structure Learning and Consistent Reasoning

Lixin Zhan, Jie Jiang*, Tianjian Zhou, Yukun Du, Yan Zheng, Xuehu Duan

AAAI Conference on Artificial Intelligence (AAAI 2026)

CCF-AAAAI

TL;DR — Unsupervised point-cloud semantic segmentation through prototype topology discovery and spatial geometric reasoning.

一句话总结——通过原型拓扑发现与空间几何推理实现无监督点云语义分割。

2026

BGC-Net: Bilateral Graph Convolutional Network for Weakly Supervised Semantic Segmentation of Large-Scale Point Clouds

Lixin Zhan, Yukun Du, Jie Jiang*, Yingmei Wei, Tianjian Zhou, Ziyuan Yang

IEEE Transactions on Circuits and Systems for Video Technology, Vol. 36, No. 3, 2026

IEEE TCSVTCCF-B

TL;DR — Bilateral graph convolutions extract informative spatial representations from extremely sparse point annotations for large-scale 3D point-cloud parsing.

一句话总结——双边图卷积从极稀疏点标注中提取有效空间表征,用于大规模三维点云解析。

2025

QPCR: Weakly Supervised Semantic Segmentation of Large-Scale Point Cloud via Gradual Query Points Component Reasoning

Lixin Zhan, Wei Li, Jie Jiang*, Tianjian Zhou, Chenglu Wen, Cheng Wang

IEEE Transactions on Geoscience and Remote Sensing, Vol. 63, 2025

IEEE TGRSJCR Q1

TL;DR — Component-wise iterative reasoning for complex terrain point clouds under sparse ground-truth supervision.

一句话总结——在稀疏真值监督下,对复杂地形点云进行逐组件迭代推理。

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)

PRCVCCF-C

TL;DR — Triple-axis interaction leveraging complementary infrared localization and visible semantic texture for round-the-clock behaviour recognition.

一句话总结——利用红外定位与可见光语义纹理的互补性,通过三轴交互实现全天候行为识别。

Intellectual property知识产权

Granted national invention patents授权国家发明专利

Authorized by the China National Intellectual Property Administration (CNIPA), all assigned to NUDT.均经国家知识产权局授权,专利权人为国防科技大学。

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 · CNIPA国家发明专利 · 国家知识产权局

Grant no.授权公告号 · CN119540575B
Granted授权日 · 2025-04-08
Assignee专利权人 · NUDT国防科技大学
Inventors发明人 · Jie Jiang, Tianjian Zhou (2nd), Yishan Li, et al.蒋捷、周天健(第 2 发明人)、李易珊 等

Multi-scale semantic information enhancement method and device for improving contrastive learning performance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 · CNIPA国家发明专利 · 国家知识产权局

Grant no.授权公告号 · CN119580024B
Granted授权日 · 2025-04-15
Assignee专利权人 · NUDT国防科技大学
Inventors发明人 · Jie Jiang, Tianjian Zhou (2nd), Yishan Li, et al.蒋捷、周天健(第 2 发明人)、李易珊 等

Pedestrian trajectory prediction method, device and equipment一种行人轨迹预测方法、装置及设备

National invention patent · CNIPA国家发明专利 · 国家知识产权局

Grant no.授权公告号 · CN118364959B
Granted授权日 · 2025-04-01
Assignee专利权人 · NUDT国防科技大学

Retinal image segmentation method and device一种视网膜图像分割方法及装置

National invention patent · CNIPA国家发明专利 · 国家知识产权局

Grant no.授权公告号 · CN112001923B
Granted授权日 · 2021-01-05
Assignee专利权人 · NUDT国防科技大学

Open science开放科学

Papers and code — as open as we can make them.论文与代码——尽可能开放。

Code and model checkpoints are released upon acceptance. We also maintain a daily digest of self-supervised representation learning. 代码与模型权重在论文录用后公开。我们还维护一份自监督表征学习的每日论文日报。