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Bokai Lin

ECCV 2026IROS 2026SIGIR 2026对齐与偏好多模态代码强化学习与后训练数据与预训练
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2 一作 · 3 篇 · ECCV 2026 / IROS 2026 / SIGIR 2026

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2026 顶会论文

3
一作SIGIR 2026Oral· Information Retrieval (Full)

Cross-Domain Interest Representation Learning for Scenario- and Task-Aware Recommendation

Bokai Lin · Naijun Gao · Yucen Gao · Heng Chang · Cheng Hu · Zhinan Zhang · Xiaofeng Gao

摘要

Many internet companies operate multiple flagship applications, each of which can be regarded as a distinct business domain, covering areas such as video, reading, and gaming. Within each domain, diverse recommendation scenarios coexist, and users engage in various tasks with heterogeneous behavi...

多模态代码对齐与偏好OpenReview
作者位次 #2/7IROS 2026Poster· Sensing and Predicting Human Motion for Robots

LIDEA: Human-To-Robot Imitation Learning Via Implicit Feature Distillation and Explicit Geometry Alignment

Yifu Xu · Bokai Lin · Xinyu Zhan · Hongjie Fang · Yong-Lu Li · Cewu Lu · Lixin Yang

对齐与偏好强化学习与后训练数据与预训练Imitation LearningDatasets for Human MotionData Sets for Robot LearningOpenReview

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