Hanqun Cao - RankMe

23 papers A* 2Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RiboSphere: Learning Unified and Efficient Representations of RNA Structures. CoRR Zhou Zhang, Hanqun Cao, Cheng Tan, Fang Wu, Pheng-Ann Heng, Tianfan Fu
2025	J	`jnl`	A deep reinforcement learning platform for antibiotic discovery. CoRR 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
2025	J	`jnl`	CONFIDE: Hallucination Assessment for Reliable Biomolecular Structure Prediction and Design. CoRR Zijun Gao, Mutian He, Shijia Sun, Hanqun Cao, Jingjie Zhang, Zihao Luo, Xiaorui Wang, Xiaojun Yao, Chang-Yu Hsieh, Chunbin Gu, Pheng-Ann Heng
2025	—	`conf`	ChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining. ICCVW Kexin Chen, Yuyang Du, Junyou Li, Hanqun Cao, Menghao Guo, Xilin Dang, Lanqing Li, Jiezhong Qiu, Guangyong Chen, Pheng-Ann Heng
2025	J	`jnl`	From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning? CoRR 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
2025	J	`jnl`	Gated-GPS: enhancing protein-protein interaction site prediction with scalable learning and imbalance-aware optimization. Briefings Bioinform. Xin Gao, Hanqun Cao, Jinpeng Li, Jiezhong Qiu, Guangyong Chen, Pheng-Ann Heng
2025	J	`jnl`	Learning the PTM Code through a Coarse-to-Fine, Mechanism-Aware Framework. CoRR Jingjie Zhang, Hanqun Cao, Zijun Gao, Yu Wang, Shaoning Li, Jun Xu, Cheng Tan, Jun Zhu, Chang-Yu Hsieh, Chunbin Gu, Pheng-Ann Heng
2025	J	`jnl`	Lost in Tokenization: Context as the Key to Unlocking Biomolecular Understanding in Scientific LLMs. CoRR 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
2025	J	`jnl`	PLAME: Leveraging Pretrained Language Models to Generate Enhanced Protein Multiple Sequence Alignments. CoRR Hanqun Cao, Xinyi Zhou, Zijun Gao, Chenyu Wang, Xin Gao, Zhi Zhang, Chunbin Gu, Ge Liu, Pheng-Ann Heng
2025	J	`jnl`	Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards. CoRR 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
2025	J	`jnl`	R3Design: deep tertiary structure-based RNA sequence design and beyond. Briefings Bioinform. Cheng Tan, Yijie Zhang, Zhangyang Gao, Hanqun Cao, Siyuan Li, Siqi Ma, Mathieu Blanchette, Stan Z. Li
2025	A*	`conf`	SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection. ICLR Jingjie Zhang, Hanqun Cao, Zijun Gao, Xiaorui Wang, Chunbin Gu
2024	J	`jnl`	A Survey on Generative Diffusion Models. IEEE Trans. Knowl. Data Eng. Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
2024	J	`jnl`	An Autonomous Large Language Model Agent for Chemical Literature Data Mining. CoRR Kexin Chen, Hanqun Cao, Junyou Li, Yuyang Du, Menghao Guo, Xin Zeng, Lanqing Li, Jiezhong Qiu, Pheng-Ann Heng, Guangyong Chen
2024	J	`jnl`	DEL-Ranking: Ranking-Correction Denoising Framework for Elucidating Molecular Affinities in DNA-Encoded Libraries. CoRR Hanqun Cao, Chunbin Gu, Mutian He, Ning Ma, Chang-Yu Hsieh, Pheng-Ann Heng
2024	A*	`conf`	Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective. ICML Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li
2024	J	`jnl`	Deep Learning-Based Quasi-Conformal Surface Registration for Partial 3D Faces Applied to Facial Recognition. CoRR Yuchen Guo, Hanqun Cao, Lok Ming Lui
2024	J	`jnl`	Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries. CoRR Chunbin Gu, Mutian He, Hanqun Cao, Guangyong Chen, Chang-Yu Hsieh, Pheng-Ann Heng
2023	J	`jnl`	Efficient and accurate large library ligand docking with KarmaDock. Nat. Comput. Sci. 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
2023	—	`conf`	Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. MICCAI (5) Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng
2023	—	`conf`	Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. MICCAI (6) Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng
2023	J	`jnl`	ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling. Nat. Mac. Intell. 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
2022	J	`jnl`	A Survey on Generative Diffusion Model. CoRR Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li