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2020 – today
- 2025
[j5]Xin Gao
, Hanqun Cao, Jinpeng Li, Jiezhong Qiu, Guangyong Chen, Pheng-Ann Heng:
Gated-GPS: enhancing protein-protein interaction site prediction with scalable learning and imbalance-aware optimization. Briefings Bioinform. 26(3) (2025)- [c4]Jingjie Zhang, Hanqun Cao, Zijun Gao, Xiaorui Wang, Chunbin Gu:
SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection. ICLR 2025 - [i11]Hanqun Cao, Xinyi Zhou, Zijun Gao, Chenyu Wang, Xin Gao, Zhi Zhang, Chunbin Gu, Ge Liu, Pheng-Ann Heng:
PLAME: Leveraging Pretrained Language Models to Generate Enhanced Protein Multiple Sequence Alignments. CoRR abs/2507.07032 (2025) - [i10]Hanqun Cao, Marcelo Der Torossian Torres, Jingjie Zhang, Zijun Gao, Fang Wu, Chunbin Gu, Jure Leskovec, Yejin Choi, Cesar de la Fuente-Nunez, Guangyong Chen, Pheng-Ann Heng:
A deep reinforcement learning platform for antibiotic discovery. CoRR abs/2509.18153 (2025) - [i9]Aaron Tu, Weihao Xuan, Heli Qi, Xu Huang, Qingcheng Zeng, Shayan Talaei, Yijia Xiao, Peng Xia, Xiangru Tang, Yuchen Zhuang, Bing Hu, Hanqun Cao, Wenqi Shi, Tianang Leng, Rui Yang, Yingjian Chen, Ziqi Wang, Irene Li, Nan Liu, Huaxiu Yao, Li Erran Li, Ge Liu, Amin Saberi, Naoto Yokoya, Jure Leskovec, Yejin Choi, Fang Wu:
Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards. CoRR abs/2509.21882 (2025) - [i8]Hanqun Cao, Hongrui Zhang, Junde Xu, Zhou Zhang, Lingdong Shen, Minghao Sun, Ge Liu, Jinbo Xu, Wu-Jun Li, Jinren Ni, Cesar de la Fuente-Nunez, Tianfan Fu, Yejin Choi, Pheng-Ann Heng, Fang Wu:
From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning? CoRR abs/2510.01571 (2025) - [i7]Kai Zhuang, Jiawei Zhang, Yumou Liu, Hanqun Cao, Chunbin Gu, Mengdi Liu, Zhangyang Gao, Zitong Jerry Wang, Xuanhe Zhou, Pheng-Ann Heng, Lijun Wu, Conghui He, Cheng Tan:
Lost in Tokenization: Context as the Key to Unlocking Biomolecular Understanding in Scientific LLMs. CoRR abs/2510.23127 (2025) - [i6]Jingjie Zhang, Hanqun Cao, Zijun Gao, Yu Wang, Shaoning Li, Jun Xu, Cheng Tan, Jun Zhu, Chang-Yu Hsieh, Chunbin Gu, Pheng-Ann Heng:
Learning the PTM Code through a Coarse-to-Fine, Mechanism-Aware Framework. CoRR abs/2510.23492 (2025) - 2024
- [j4]Cheng Tan, Yijie Zhang, Zhangyang Gao, Hanqun Cao, Siyuan Li, Siqi Ma, Mathieu Blanchette, Stan Z. Li:
R3Design: deep tertiary structure-based RNA sequence design and beyond. Briefings Bioinform. 26(1) (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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