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2026 顶会论文

作者位次 #3/3ICLR 2026Poster· Computer Vision / 3D Rendering & Reconstruction

Neural Compression of 3D Meshes using Sparse Implicit Representation

Jianqiang Wang · Siyu Ren · Junhui Hou

可解释性多模态效率与系统OpenReview

作者位次 #5/5ICLR 2026Poster· Deep Learning / Algorithms

Mini-cluster Guided Long-tailed Deep Clustering

Zhixin Li · Yuheng Jia · Guanliang Chen · Hui LIU · Junhui Hou

OpenReview

作者位次 #8/8ICLR 2026Poster· Deep Learning / Algorithms

Samples Are Not Equal: A Sample Selection Approach for Deep Clustering

Zhengxing Jiao · Yaxin Hou · Jun Ma · Yuhang Li · Ding Ding · Yuheng Jia · Hui LIU · Junhui Hou

OpenReview

作者位次 #3/3ICLR 2026Poster· Computer Vision / Everything Else

Energy-oriented Diffusion Bridge for Image Restoration with Foundational Diffusion Models

Jinhui Hou · Zhiyu Zhu · Junhui Hou

多模态OpenReview

作者位次 #2/5CVPR 2026Spotlight· Computer Vision & Pattern Recognition

Scaling Dense Event-Stream Pretraining from Visual Foundation Models

Zhiwen Chen · Junhui Hou · Zhiyu Zhu · Jinjian Wu · Guangming Shi

多模态数据与预训练OpenReview 项目页

作者位次 #2/8SIGGRAPH 2026Journal· Computer Graphics (TOG Journal Track)

SAND: Spatially Adaptive Network Depth for Fast Sampling of Neural Implicit Surfaces

Chuanxiang Yang · Junhui Hou · Yuan Liu · Siyu Ren · Guangshun Wei · Taku Komura · Yuanfeng Zhou · Wenping Wang

OpenReview

作者位次 #6/7AAAI 2026Poster· Artificial Intelligence

DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning

Bo Han · Zhuoming Li · Xiaoyu Wang · Yaxin Hou · Hui LIU · Junhui Hou · Yuheng Jia

OpenReview

作者位次 #5/6AAAI 2026Poster· Artificial Intelligence

Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance

Jiecheng Jiang · Jiawei Tang · Jiahao Jiang · Hui LIU · Junhui Hou · Yuheng Jia

OpenReview

作者位次 #4/4AAAI 2026Poster· Artificial Intelligence

ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering

Xinyue Wang · Yuheng Jia · Hui LIU · Junhui Hou

OpenReview

Junhui Hou

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2026 顶会论文

Neural Compression of 3D Meshes using Sparse Implicit Representation

Mini-cluster Guided Long-tailed Deep Clustering

Samples Are Not Equal: A Sample Selection Approach for Deep Clustering

Energy-oriented Diffusion Bridge for Image Restoration with Foundational Diffusion Models

Scaling Dense Event-Stream Pretraining from Visual Foundation Models

SAND: Spatially Adaptive Network Depth for Fast Sampling of Neural Implicit Surfaces

DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning

Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance

ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering

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