Yu Shang (商宇)  Ph.D. Candidate, Department of Electronic Engineering, Tsinghua University Email: shangy21@mails.tsinghua.edu.cn [Google Scholar] [Github] [LinkedIn]

Biography

I am a final-year Ph.D. student at Tsinghua University, advised by Prof. Yong Li and Prof. Jiansheng Chen. I'm interested in LLM Agents, World Models, MLLMs and Recommender Systems.

Previously, I received my B.E. degree from the Department of Electronic Engineering, Tsinghua University in June 2021. I also received the second B.E. degree from the School of Economics and Management, Tsinghua University in June 2021.

I have research experience on multimodal recommender systems, agentic recommender systems, LLM agent design, MLLMs, and world models. I am currently seeking industry job opportunities in these research areas with a 2026 graduation timeline.

Research Publications

• RoboScape: Physics-informed Embodied World Model
  Spotlight paper (top 3.5% paper)
  Yu Shang, Xin Zhang, Yinzhou Tang, Lei Jin, Chen Gao, Wei Wu, Yong Li
  International Conference on Neural Information Processing Systems (NeurIPS), 2025
  
• AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
  Spotlight paper (top 3.5% paper)
  Yu Shang, Peijie Liu, Yuwei Yan, Zijing Wu, Leheng Sheng, Yuanqing Yu, Chumeng Jiang, An Zhang, Fengli Xu, Yu Wang, Min Zhang, Yong Li
  International Conference on Neural Information Processing Systems (NeurIPS), 2025
  [dataset&benchmark]
• Agentsquare: Automatic LLM Agent Search in Modular Design Space
  Yu Shang*, Yu Li*, Keyu Zhao, Likai Ma, Jiahe Liu, Fengli Xu, Yong Li
  International Conference on Learning Representations (ICLR), 2025
  [code] [webpage]
• A Large-scale Dataset with Behavior, Attributes, and Content of Mobile Short-video Platform
  Yu Shang, Chen Gao, Nian Li, Yong Li
  ACM Web Conference (WWW), 2025
  [dataset&code]
• AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms
  Yuwei Yan*, Yu Shang*, Qingbin Zeng, Yu Li, Keyu Zhao, Zhiheng Zheng, Xuefei Ning, Tianji Wu, Shengen Yan, Yu Wang, Fengli Xu, Yong Li
  ACM Web Conference (WWW), 2025
  [code] [webpage]
• Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing
  Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Yong Li
  ACM Web Conference (WWW), 2024
  
• Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing
  Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Huimin Ma, Yong Li
  ACM International Conference on Multimedia (ACM MM), 2023
  
• Learning Fine-grained User Interests for Micro-video Recommendation
  Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Meng Wang, Yong Li
  International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
  
• Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network
  Yu Shang, Yudong Zhang, Jiansheng Chen, Depeng Jin, Yong Li
  ACM International Conference on Information and Knowledge Management (CIKM), 2023
  
• Understanding World or Predicting Future? A Comprehensive Survey of World Models
  Jingtao Ding, Yunke Zhang, Yu Shang, Yuheng Zhang, Zefang Zong, Jie Feng, Yuan Yuan, Hongyuan Su, Nian Li, Nicholas Sukiennik, Fengli Xu, Yong Li
  ACM Computing Surveys , 2025
  
• Transferable Adversarial Attacks for Object Detection Using Object-Aware Significant Feature Distortion
  Xinlong Ding, Jiansheng Chen, Hongwei Yu, Yu Shang, Yining Qin, Huimin Ma
  AAAI Conference on Artificial Intelligence (AAAI), 2024
  
• Health CLIP: Depression Rate Prediction Using Health Related Features in Satellite and Street View Images
  Tianjian Ouyang, Xin Zhang, Zhenyu Han, Yu Shang, Yong Li
  ACM Web Conference (WWW), 2024
  
• Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures
  Xinlong Ding, Hongwei Yu, Jiawei Li, Feifan Li, Yu Shang, Bochao Zou, Huimin Ma, Jiansheng Chen
  International Conference on Computer Vision (ICCV, Highlight), 2025
  
• Enhancing Adversarial Transferability in Object Detection with Bidirectional Feature Distortion
  Xinlong Ding, Jiansheng Chen, Hongwei Yu, Yu Shang, Huimin Ma
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
  
• Genetic Meta-structure Search for Recommendation on Heterogeneous Information Network
  Zhenyu Han, Fengli Xu, Jinghan Shi, Yu Shang, Haorui Ma, Pan Hui, Yong Li
  ACM International Conference on Information and Knowledge Management (CIKM), 2020
  
• AirScape: An Aerial Generative World Model with Motion Controllability
  Baining Zhao, Rongze Tang, Mingyuan Jia, Ziyou Wang, Fanghang Man, Xin Zhang, Yu Shang, Weichen Zhang, Chen Gao, Wei Wu, Xin Wang, Xinlei Chen, Yong Li
  ACM International Conference on Multimedia (ACM MM), 2025

* indicates co-first authors.

Preprints

• A Survey of Embodied World Models
  Yu Shang, Yinzhou Tang, Xin Zhang, Shengyuan Wang, Yuwei Yan, Honglin Zhang, Zhiheng Zheng, Jie Zhao, Jie Feng, Chen Gao, Jiansheng Chen, Yong Li
  [homepage]
  
• LongScape: Advancing Long-Horizon Embodied World Models with Context-Aware MoE
  Yu Shang, Lei Jin, Yiding Ma, Xin Zhang, Chen Gao, Wei Wu, Yong Li
  
• MoWM: Mixture-of-World-Models for Embodied Planning via Latent-to-Pixel Feature Modulation
  Yu Shang, Yangcheng Yu, Xin Zhang, Xin Jin, Haisheng Su, Wei Wu, Yong Li
  
• Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models
  Yu Shang*, Yu Li*, Fengli Xu, Yong Li
  
• UrbanWorld: An Urban World Model for 3D City Generation
  Yu Shang, Yuming Lin, Yu Zheng, Hangyu Fan, Jingtao Ding, Jie Feng, Jiansheng Chen, Li Tian, Yong Li
  [code]
  
• UrbanMLLM: Joint Learning of Cross-view Imagery for Urban Understanding
  Xin Zhang*, Tianjian Ouyang*, Yu Shang*, Qingmin Liao, Yong Li
  
• KeyWorld: Key Frame Reasoning Enables Effective and Efficient World Models
  Sibo Li, Qianyue Hao, Yu Shang, Yong Li
  

Academic Services

Reviewer of NeurIPS, ICLR, ICCV, AAAI, TKDE.