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2026 顶会论文

作者位次 #5/6ICLR 2026Poster· Deep Learning / Algorithms

Adaptive Nonlinear Compression for Large Foundation Models

Liang Xu · Shufan Shen · Qingming Huang · Yao Zhu · Xiangyang Ji · Shuhui Wang

作者位次 #8/11ICLR 2026Poster· Computer Vision / Classification and Understanding

Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection

Yao Xiao · Weiyan Chen · Jiahao Chen · Zijie Cao · Weijian Deng · Binbin Yang · ZiYi Dong · Xiangyang Ji · Wei Ke · Pengxu Wei · Liang Lin

多模态可解释性评测与基准OpenReview

作者位次 #4/4ICLR 2026Poster· General Machine Learning / Representation Learning

Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning

Heming Zou · Yunliang Zang · Wutong Xu · Xiangyang Ji

可解释性效率与系统数据与预训练OpenReview

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

Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models

Yixiu Mao · Yun Qu · Qi Wang · Heming Zou · Xiangyang Ji

强化学习与后训练推理OpenReview

作者位次 #7/7ICLR 2026Poster· Computer Vision / Vision Models & Multimodal

EventFlash: Towards Efficient MLLMs for Event-Based Vision

Shaoyu Liu · Jianing Li · guanghui zhao · Yunjian Zhang · Wen Jiang · Ming Li · Xiangyang Ji

多模态效率与系统OpenReview

作者位次 #6/6SIGGRAPH 2026Oral· Computer Graphics (Conference Track)

Generalizable and Relightable Gaussian Splatting for Human Novel View Synthesis

Yipengjing Sun · Shengping Zhang · Chenyang Wang · Shunyuan Zheng · Zonglin Li · Xiangyang Ji

社会与人本理论与学习动力学OpenReview

作者位次 #6/6KDD 2026Oral· Knowledge Discovery & Data Mining

Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?

Yun Qu · Cheems Wang · Yixiu Mao · Vincent Tao Hu · Björn Ommer · Xiangyang Ji

推理强化学习与后训练检索与知识OpenReview

作者位次 #7/7ICRA 2026Oral· Robotics & Automation

GFreeDet2: Exploiting Gaussian Splatting and Foundation Models for RGB-based Model-free 2D and 6D Detection of Unseen Objects

Gu Wang · Xingyu Liu · Jingyi Tang · Chengxi Li · Yingyue Li · Ziqin Huang · Xiangyang Ji

OpenReview

作者位次 #9/9AAAI 2026Poster· Artificial Intelligence

Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics Assessment

henglin liu · Nisha Huang · Chang Liu · Jiangpeng Yan · Huijuan Huang · Jixuan Ying · Tong-Yee Lee · Pengfei Wan · Xiangyang Ji

多模态OpenReview

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

Score-Based Model for Low-Rank Tensor Recovery

Zhengyun Cheng · Changhao Wang · Guanwen Zhang · Yi Xu · Wei Zhou · Xiangyang Ji

效率与系统OpenReview

Xiangyang Ji

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