HF
Hongliang Fei
cs.CVcs.CLcs.IRBayes Theoremcs.LGDrug-Related Side Effects and Adverse Reactions
On Valency
published · living versionsW_eup5mama·v1 · currentpublished
ALPS: Visual State Encoders for World Models
with Yanqing Liu, Letian Zhang, Chengzhi Liu, Zijun Wang +3
1 version
Preprints & journals
11 papers in the corpus · 2013–2026ALPS: Visual State Encoders for World Models2610.30120v1 · Yanqing Liu, Letian Zhang, Chengzhi Liu et al.2026 · 0 citationsarXivon Valency
VisualClaw: A Real-Time, Personalized Agent for the Physical World2606.16295v1 · Haoqin Tu, Jianwen Chen, Zijun Wang et al.2026 · 0 citationsarXiv
Imagen 32408.07009v3 · Imagen-Team-Google: Jason Baldridge, Jakob Bauer, Mukul Bhutani et al.2024 · 4 citationsarXiv
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models2405.16759v1 · Cristina N. Vasconcelos, Abdullah Rashwan, Austin Waters et al.2024 · 0 citationsarXiv
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution2401.10404v1 · Xin Yuan, Jinoo Baek, Keyang Xu et al.2024 · 14 citationsarXiv
Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models2210.10841v1 · Yue Zhang, Hongliang Fei, Dingcheng Li et al.2022 · 2 citationsarXiv
Denoising Enhanced Distantly Supervised Ultrafine Entity Typing2210.09599v1 · Yue Zhang, Hongliang Fei, Ping Li2022 · 2 citationsarXiv
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning2210.07232v1 · Tan Yu, Jun Zhi, Yufei Zhang et al.2022 · 0 citationsarXiv
Boost CTR Prediction for New Advertisements via Modeling Visual Content2209.11727v1 · Tan Yu, Zhipeng Jin, Jie Liu et al.2022 · 8 citationsarXiv
Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising2209.08759v1 · Tan Yu, Jie Liu, Yi Yang et al.2022 · 1 citationarXiv
Computational prediction of toxicity.24417026 · Mishra, Meenakshi, Fei, Hongliang, Huan, Jun2014 · 6 citationsInternational journal of data mining and bioinformatics. 2013;8(3):338-48
Career total: 59 works. 11 are in this corpus.
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