Scholar
Yu Shang
Google Scholar ID: 2HFt8mkAAAAJ
Department of Electronic Engineering, Tsinghua University
Multimodal Learning
LLM Agent
Recommender System
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Citations & Impact
All-time
Citations
232
H-index
9
i10-index
8
Publications
20
Co-authors
0
Contact
Email
shangy21@mails.tsinghua.edu.cn
GitHub
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Publications
16 items
WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models
2026
Cited
0
Aerial World Model for Long-horizon Visual Generation and Navigation in 3D Space
2025
Cited
0
RoboScape-R: Unified Reward-Observation World Models for Generalizable Robotics Training via RL
2025
Cited
0
RAISECity: A Multimodal Agent Framework for Reality-Aligned 3D World Generation at City-Scale
2025
Cited
0
MoWM: Mixture-of-World-Models for Embodied Planning via Latent-to-Pixel Feature Modulation
2025
Cited
0
LongScape: Advancing Long-Horizon Embodied World Models with Context-Aware MoE
2025
Cited
0
KeyWorld: Key Frame Reasoning Enables Effective and Efficient World Models
2025
Cited
0
Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures
2025
Cited
0
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Resume (English only)
Academic Achievements
First-authored Spotlight paper (top 3.5%) at NeurIPS 2025: 'RoboScape: Physics-informed Embodied World Model'
First-authored Spotlight paper (top 3.5%) at NeurIPS 2025: 'AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems'
Co-first authored paper at ICLR 2025: 'Agentsquare: Automatic LLM Agent Search in Modular Design Space'
Published 'A Large-scale Dataset with Behavior, Attributes, and Content of Mobile Short-video Platform' at WWW 2025
Co-authored 'AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms' at WWW 2025
Published 'Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing' at WWW 2024
Published 'Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing' at ACM MM 2023
Published 'Learning Fine-grained User Interests for Micro-video Recommendation' at SIGIR 2023
Published 'Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network' at CIKM 2023
Co-authored survey 'Understanding World or Predicting Future? A Comprehensive Survey of World Models' in ACM Computing Surveys 2025
Contributed to papers accepted at AAAI 2024, ICCV 2025 (Highlight), and WWW 2024
Co-authors
0 total
Co-authors: 0 (list not available)
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