Junchen Fu

1. Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited
   2023/03/24 by Zheng Yuan, Fajie Yuan, Yuan, Zheng +13 · 63 citations
   Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Recommender Systems and Techniques #Topic Modeling
2. A Content-Driven Micro-Video Recommendation Dataset at Scale
   2023/09/27 by Yongxin Ni, Yu Cheng, Ni, Yongxin +13 · 29 citations
   Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
3. NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation
   2023/09/14 by Jiaqi Zhang, Yu Cheng, Zhang, Jiaqi +15 · 7 citations
   Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Recommender Systems and Techniques #Topic Modeling
4. Video-Bench: Human-Aligned Video Generation Benchmark
   2025/04/07 by Hui Han, Han, Hui, Shitian Li +22 · 14 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image and Video Quality Assessment #Multimodal Machine Learning Applications
5. The Geometry of Personality: Activation Steering with Jungian Cognitive Functions
   2026/07/23 by Liu Zai, Yumeng Wang, Junchen Fu +1
   Computer Science · #cs.CL #cs.AI #cs.LG
6. Do We Really Need Multimodal Emotion Language Models Larger Than 1B Parameters?
   2026/07/31 by Kaiwen Zheng, Junchen Fu, Wenhao Deng +3
   Computer Science · #cs.AI #cs.CL #cs.CV #cs.MM