Can Wang

ThinkBLOX: 3D Indoor Scene Generation with Progressive Reasoning

Yuan Xiao, Can Wang, Xiangyu Kong, Jing Liao

While traditional graphics methods often synthesize 3D indoor scenes autoregressively or hierarchically, recent vision-language model (VLM)-based generators predominantly adopt a one-shot paradigm where the full layout is planned at once. This one-shot approach often requires glo…Read more

Reverse to Advance: Teleoperation-Cost Effective Hard Policy Learning from Reversed Easy Tasks

Qiyuan Qiao, Ge Yuan, Can Wang, Dong Xu

High-quality teleoperation datasets are costly to collect, particularly for hard tasks. We observe that many tasks exhibit directional asymmetry: completing the forward hard task is difficult, whereas reversing it by relaxing or disrupting the environment is comparatively easy. T…Read more

LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation

Hongchen Li, Bohao Wang, Jingbang Chen, Weiqin Yang, Hang Pan, Bingde Hu, et al.

Large language models (LLMs) have recently emerged as powerful backbones for recommender systems by reformulating recommendation as a token-level generation task. Despite their promise, we identify a pervasive yet underexplored issue: $\textit{Length Bias}$. Because items are rep…Read more

CV-DCLR: Causal-Visual Dynamic Label Refinement for Robust Zero-Shot Learning

Can Wang, Jiangnan Li, Mingyu Li, Yining Song, Kangrui Ren, Min Gan, et al.

Zero-Shot Learning (ZSL) facilitates knowledge transfer via shared semantic spaces. However, a critical bottleneck in this paradigm is Semantic Entanglement, where visual representations are inevitably conflated with visually similar semantic concepts, such as distinguishing the…Read more

Deep learning preconditioned methods for frequency-domain acoustic wave equation with their wavefield simulations

Chao Lang, Ning Wang, Shi-Li Pang, Can Wang, Zi-Xian Niu