activity
20152026
most citedRelay Backpropagation for Effective Learning of Deep Convolutional Neural Networks

6 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

PRISM: Parallel Residual Iterative Sequence Model

Jie Jiang, Ke Cheng, Xin Xu +8

Generative sequence modeling faces a fundamental tension between the expressivity of Transformers and the efficiency of linear sequence models. Existing efficient architectures are…

cs.AI2025

MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning

Xukai Wang, Xuanbo Liu, Mingrui Chen +16

With the advancement of powerful large-scale reasoning models, effectively evaluating the reasoning capabilities of these models has become increasingly important. However, existin…

cs.AI2025

AI Pangaea: Unifying Intelligence Islands for Adapting Myriad Tasks

Jianlong Chang, Haixin Wang, Zhiyuan Dang +11

The pursuit of artificial general intelligence continuously demands generalization in one model across myriad tasks, even those not seen before. However, current AI models are isol…

cs.CV2024★ 2 cited

Pyramidal Flow Matching for Efficient Video Generative Modeling

Yang Jin, Zhicheng Sun, Ningyuan Li +7

Video generation requires modeling a vast spatiotemporal space, which demands significant computational resources and data usage. To reduce the complexity, the prevailing approache…

cs.CV2015★ 6 cited

Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks

Li Shen, Zhouchen Lin, Qingming Huang

Learning deeper convolutional neural networks becomes a tendency in recent years. However, many empirical evidences suggest that performance improvement cannot be gained by simply…