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Hanqun Cao
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2020 – today
- 2024
- [j3]Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li:
A Survey on Generative Diffusion Models. IEEE Trans. Knowl. Data Eng. 36(7): 2814-2830 (2024) - [c3]Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li:
Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective. ICML 2024 - [i5]Kexin Chen, Hanqun Cao, Junyou Li, Yuyang Du, Menghao Guo, Xin Zeng, Lanqing Li, Jiezhong Qiu, Pheng-Ann Heng, Guangyong Chen:
An Autonomous Large Language Model Agent for Chemical Literature Data Mining. CoRR abs/2402.12993 (2024) - [i4]Yuchen Guo, Hanqun Cao, Lok Ming Lui:
Deep Learning-Based Quasi-Conformal Surface Registration for Partial 3D Faces Applied to Facial Recognition. CoRR abs/2405.09880 (2024) - [i3]Chunbin Gu, Mutian He, Hanqun Cao, Guangyong Chen, Chang-Yu Hsieh, Pheng-Ann Heng:
Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries. CoRR abs/2409.05916 (2024) - [i2]Hanqun Cao, Chunbin Gu, Mutian He, Ning Ma, Chang-Yu Hsieh, Pheng-Ann Heng:
DEL-Ranking: Ranking-Correction Denoising Framework for Elucidating Molecular Affinities in DNA-Encoded Libraries. CoRR abs/2410.14946 (2024) - 2023
- [j2]Odin Zhang, Jintu Zhang, Jieyu Jin, Xujun Zhang, Renling Hu, Chao Shen, Hanqun Cao, Hongyan Du, Yu Kang, Yafeng Deng, Furui Liu, Guangyong Chen, Chang-Yu Hsieh, Tingjun Hou:
ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling. Nat. Mac. Intell. 5(9): 1020-1030 (2023) - [j1]Xujun Zhang, Odin Zhang, Chao Shen, Wanglin Qu, Shicheng Chen, Hanqun Cao, Yu Kang, Zhe Wang, Ercheng Wang, Jintu Zhang, Yafeng Deng, Furui Liu, Tianyue Wang, Hongyan Du, Langcheng Wang, Peichen Pan, Guangyong Chen, Chang-Yu Hsieh, Tingjun Hou:
Efficient and accurate large library ligand docking with KarmaDock. Nat. Comput. Sci. 3(9): 789-804 (2023) - [c2]Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. MICCAI (6) 2023: 306-316 - [c1]Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. MICCAI (5) 2023: 579-589 - 2022
- [i1]Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li:
A Survey on Generative Diffusion Model. CoRR abs/2209.02646 (2022)
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