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Jingfan Chen
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2020 – today
- 2026
[i9]Lin Wang, Yang Zhang, Jingfan Chen, Xiaoyan Zhao, Fengbin Zhu, Qing Li, Tat-Seng Chua:
MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation. CoRR abs/2602.04278 (2026)- 2025
[j1]Jiahao Wu
, Wenqi Fan
, Jingfan Chen, Shengcai Liu
, Qijiong Liu, Rui He
, Qing Li
, Ke Tang
:
Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation. IEEE Trans. Knowl. Data Eng. 37(1): 162-173 (2025)
[c8]Hongxin Li, Jingfan Chen, Jingran Su, Yuntao Chen, Qing Li, Zhaoxiang Zhang:
AutoGUI: Scaling GUI Grounding with Automatic Functionality Annotations from LLMs. ACL (1) 2025: 10323-10358
[c7]Jingran Su, Jingfan Chen, Hongxin Li, Yuntao Chen, Li Qing, Zhaoxiang Zhang:
Activation Steering Decoding: Mitigating Hallucination in Large Vision-Language Models through Bidirectional Hidden State Intervention. ACL (1) 2025: 12964-12974
[c6]Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang:
Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation (Extended Abstract). ICDE 2025: 4716-4717
[i8]Hongxin Li, Jingfan Chen, Jingran Su, Yuntao Chen, Qing Li, Zhaoxiang Zhang:
AutoGUI: Scaling GUI Grounding with Automatic Functionality Annotations from LLMs. CoRR abs/2502.01977 (2025)
[i7]Hongxin Li, Jingran Su, Jingfan Chen, Zheng Ju, Yuntao Chen, Qing Li, Zhaoxiang Zhang:
UIPro: Unleashing Superior Interaction Capability For GUI Agents. CoRR abs/2509.17328 (2025)- 2023
[c5]Xiao Chen
, Wenqi Fan
, Jingfan Chen
, Haochen Liu
, Zitao Liu
, Zhaoxiang Zhang
, Qing Li
:
Fairly Adaptive Negative Sampling for Recommendations. WWW 2023: 3723-3733
[i6]Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li:
Fairly Adaptive Negative Sampling for Recommendations. CoRR abs/2302.08266 (2023)
[i5]Jingfan Chen, Yuxi Wang, Pengfei Wang, Xiao Chen, Zhaoxiang Zhang, Zhen Lei
, Qing Li:
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation. CoRR abs/2308.01127 (2023)- 2022
[c4]Jingfan Chen, Guanghui Zhu, Yifan Qi, Chunfeng Yuan, Yihua Huang:
Towards Self-supervised Learning on Graphs with Heterophily. CIKM 2022: 201-211
[c3]Jiahao Wu
, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang:
Disentangled Contrastive Learning for Social Recommendation. CIKM 2022: 4570-4574
[c2]Jingfan Chen
, Wenqi Fan
, Guanghui Zhu, Xiangyu Zhao
, Chunfeng Yuan, Qing Li
, Yihua Huang:
Knowledge-enhanced Black-box Attacks for Recommendations. KDD 2022: 108-117
[c1]Jingfan Chen
, Guanghui Zhu, Haojun Hou, Chunfeng Yuan, Yihua Huang:
AutoGSR: Neural Architecture Search for Graph-based Session Recommendation. SIGIR 2022: 1694-1704
[i4]Guanghui Zhu, Haojun Hou, Jingfan Chen, Chunfeng Yuan, Yihua Huang:
Transition Relation Aware Self-Attention for Session-based Recommendation. CoRR abs/2203.06407 (2022)
[i3]Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang:
Knowledge-enhanced Black-box Attacks for Recommendations. CoRR abs/2207.10307 (2022)
[i2]Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang:
Disentangled Contrastive Learning for Social Recommendation. CoRR abs/2208.08723 (2022)- 2020
[i1]Jingfan Chen, Guanghui Zhu, Rong Gu, Chunfeng Yuan, Yihua Huang:
Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization. CoRR abs/2005.14601 (2020)
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last updated on 2026-03-26 00:58 CET by the dblp team
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