QF
Quan Fang
cs.LGcs.AIcs.CLcs.IRcs.SIcs.CVstat.ML
On Valency
published · living versionsW_vfejvydx·v1 · currentpublished
RoFiGR: Coarse Routing, Fine Refinement via Level-Adaptive Distillation in Multimodal Generative Recommendation
with Ji Dai, Zhipeng Wei, Zhuang Zhuang, Rongfeng Guo +2
1 version
Preprints & journals
13 papers in the corpus · 2021–2026CoDe-LoRA: Mitigating the Orthogonality Dilemma in Continual Learning of LLMs via Knowledge Consolidation and Decoupling2610.08312v1 · Maoqi Liu, Quan Fang, Yufei He2026 · 0 citationsarXiv
Scoring Higher, Answering Worse: Mitigating Reward Hacking in Rubric-Based RL via Protocol-Level Rubrics2609.38847v1 · Maoqi Liu, Junwei He, Bowen Zhang et al.2026 · 0 citationsarXiv
Shaping Persistent Representations from Independent Interactions2609.34604v1 · Ji Dai, Quan Fang, Junyu Gao et al.2026 · 0 citationsarXiv
HulluEdit: Single-Pass Evidence-Consistent Subspace Editing for Mitigating Hallucinations in Large Vision-Language Models2602.22727v1 · Yangguang Lin, Quan Fang, Yufei Li et al.2026 · 0 citationsarXiv
Modality-Guided Mixture of Structured Experts with Entropy-Triggered Routing for Multimodal Recommendation2602.20723v3 · Ji Dai, Quan Fang, DeSheng Cai2026 · 0 citationsarXiv
Cross-Modal Attention Network with Dual Graph Learning in Multimodal Recommendation2601.11151v1 · Ji Dai, Quan Fang, Jun Hu et al.2026 · 3 citationsarXiv
Knots: A Large-Scale Multi-Agent Enhanced Expert-Annotated Dataset and LLM Prompt Optimization for NOTAM Semantic Parsing2511.12630v1 · Maoqi Liu, Quan Fang, Yang Yang et al.2025 · 6 citationsarXiv
NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation2511.07982v1 · Maoqi Liu, Quan Fang, Yuhao Wu et al.2025 · 1 citationarXiv
Integrating Multi-Label Contrastive Learning With Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval.35788462 · Qian, Shengsheng, Xue, Dizhan, Fang, Quan et al.2023 · 68 citationsIEEE transactions on pattern analysis and machine intelligence. 2023;45(4):4794-4811
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering2204.02338v2 · Jun Hu, Bryan Hooi, Shengsheng Qian et al.2022 · 69 citationsarXiv
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning2112.01110v1 · Jun Hu, Shengsheng Qian, Quan Fang et al.2021 · 1 citationarXiv
GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation2111.10342v3 · Desheng Cai, Jun Hu, Quan Zhao et al.2021 · 4 citationsarXiv
Efficient Graph Deep Learning in TensorFlow with tf_geometric2101.11552v1 · Jun Hu, Shengsheng Qian, Quan Fang et al.2021 · 51 citationsarXiv
Career total: 83 works. 13 are in this corpus.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.