Jingfan Chen

According to our database, Jingfan Chen authored at least 12 papers between 2020 and 2025.

Collaborative distances:

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

2025

Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation.

Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang

IEEE Trans. Knowl. Data Eng., January, 2025

Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation (Extended Abstract).

Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Activation Steering Decoding: Mitigating Hallucination in Large Vision-Language Models through Bidirectional Hidden State Intervention.

Jingran Su, Jingfan Chen, Hongxin Li, Yuntao Chen, Li Qing, Zhaoxiang Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

AutoGUI: Scaling GUI Grounding with Automatic Functionality Annotations from LLMs.

Hongxin Li, Jingfan Chen, Jingran Su, Yuntao Chen, Qing Li, Zhaoxiang Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2023

DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation.

Jingfan Chen, Yuxi Wang, Pengfei Wang, Xiao Chen, Zhaoxiang Zhang, Zhen Lei, Qing Li

CoRR, 2023

Fairly Adaptive Negative Sampling for Recommendations.

Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li

Proceedings of the ACM Web Conference 2023, 2023

2022

Transition Relation Aware Self-Attention for Session-based Recommendation.

Guanghui Zhu, Haojun Hou, Jingfan Chen, Chunfeng Yuan, Yihua Huang

CoRR, 2022

AutoGSR: Neural Architecture Search for Graph-based Session Recommendation.

Jingfan Chen, Guanghui Zhu, Haojun Hou, Chunfeng Yuan, Yihua Huang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Knowledge-enhanced Black-box Attacks for Recommendations.

Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Disentangled Contrastive Learning for Social Recommendation.

Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Towards Self-supervised Learning on Graphs with Heterophily.

Jingfan Chen, Guanghui Zhu, Yifan Qi, Chunfeng Yuan, Yihua Huang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization.

Jingfan Chen, Guanghui Zhu, Rong Gu, Chunfeng Yuan, Yihua Huang

CoRR, 2020