papers
Publications (16)
cs.CV2022
General Incremental Learning with Domain-aware Categorical Representations
Jiangwei Xie, Shipeng Yan, Xuming He
cs.LG2024
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
Chuanyang Hu, Shipeng Yan, Zhitong Gao +1
cs.CV2025
Incremental Human-Object Interaction Detection with Invariant Relation Representation Learning
Yana Wei, Zeen Chi, Chongyu Wang +4
cs.CL2025
Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning
ByteDance Seed, :, Jiaze Chen +267
cs.CV2021
An EM Framework for Online Incremental Learning of Semantic Segmentation
Shipeng Yan, Jiale Zhou, Jiangwei Xie +2
cs.CV2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
Zhitong Gao, Shipeng Yan, Xuming He
cs.CV2021
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
Songyang Zhang, Zeming Li, Shipeng Yan +2
cs.LG2022
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
Dapeng Hu, Shipeng Yan, Qizhengqiu Lu +6
cs.LG2024
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Ziheng Jiang, Haibin Lin, Yinmin Zhong +29
cs.CV2025
Seed1.5-VL Technical Report
Dong Guo, Faming Wu, Feida Zhu +194
cs.AI2024
Just Say What You Want: Only-prompting Self-rewarding Online Preference Optimization
Ruijie Xu, Zhihan Liu, Yongfei Liu +4
cs.CV2022
Budget-aware Few-shot Learning via Graph Convolutional Network
Shipeng Yan, Songyang Zhang, Xuming He
cs.CV2019
Dynamic Context Correspondence Network for Semantic Alignment
Shuaiyi Huang, Qiuyue Wang, Songyang Zhang +2
cs.CV2019
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition
Songyang Zhang, Shipeng Yan, Xuming He
cs.CV2021
DER: Dynamically Expandable Representation for Class Incremental Learning
Shipeng Yan, Jiangwei Xie, Xuming He
cs.CV2022
Generative Negative Text Replay for Continual Vision-Language Pretraining
Shipeng Yan, Lanqing Hong, Hang Xu +4