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portfolio

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publications

Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System

Published in SIGIR 2022, 2022

We study the sparse supervision problem in knowledge-aware recommender systems and introduce a self-supervised contrastive learning framework.

Knowledge Enhanced Multi-intent Transformer Network for Recommendation

Published in WWW 2024, 2024

This paper addresses the challenges of multi-intent modeling and knowledge noise in knowledge-aware recommendation systems.

EmbodiedBrain: Expanding Performance Boundaries of Task Planning for Embodied Intelligence

Published in Technical Report, 2025

We present EmbodiedBrain, a large-scale embodied planning model trained with multimodal post-training and reinforcement learning.

Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning

Published in EMNLP 2025 Findings, 2025

We propose Curriculum Reinforcement Learning for improving reasoning and out-of-distribution generalization of small-scale Vision-Language Models.

Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View

Published in AAAI 2026, 2026

This paper revisits multimodal data sampling strategies for reinforcement learning based post-training from a difficulty-distinguish perspective.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015