Ruochen Liu

According to our database, Ruochen Liu authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders.

Jun Yin, Bangguo Zhu, Peng Huo, Ruochen Liu, Hao Chen, Senzhang Wang, Shirui Pan, Chengqi Zhang

CoRR, May, 2026

SimGR: Escaping the Pitfalls of Generative Decoding in LLM-based Recommendation.

Yuanbo Zhao, Ruochen Liu, Senzhang Wang, Jun Yin, Yuxin Dong, Huan Gong, Hao Chen, Shirui Pan, Chengqi Zhang

CoRR, February, 2026

PS²: Parameterized Control for Fine-Grained Student Proficiency Simulation.

Ruochen Liu, Zhiyuan Wen, Hao Yan, Jun Yin, Senzhang Wang, Jiannong Cao

CoRR, February, 2026

2025

FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation.

Ruochen Liu, Hao Chen, Yuanchen Bei, Zheyu Zhou, Lijia Chen, Qijie Shen, Feiran Huang, Fakhri Karray, Senzhang Wang

CoRR, February, 2025

Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism.

Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang

Proceedings of the ACM on Web Conference 2025, 2025

Temporal Blocks with Memory Replay for Dynamic Graph Representation Learning.

Zhigang Yu, Hao Yan, Ruochen Liu, Xianghan Wang, Haijun Zhang, Senzhang Wang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning.

Hao Yan, Chaozhuo Li, Zhigang Yu, Jun Yin, Ruochen Liu, Peiyan Zhang, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Senzhang Wang

CoRR, 2024

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator.

Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Allen Sun, Denvy Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang

CoRR, 2024

Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination.

Ruochen Liu, Hao Chen, Yuanchen Bei, Qijie Shen, Fangwei Zhong, Senzhang Wang, Jianxin Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SaSDim: Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation.

Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Renzhi Wang, Ruochen Liu, Jian Zhang, Jianxin Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation.

Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Ruochen Liu, Jian Zhang, Jianxin Wang

CoRR, 2023