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Tianang Leng

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2025
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  - journals/corr/abs-2507-07862
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Tianang Leng, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente-Nunez:
Predicting and generating antibiotics against future pathogens with ApexOracle. CoRR abs/2507.07862 (2025)
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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)
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  - journals/corr/abs-2512-17901
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Junyu Zhang, Yifan Sun, Tianang Leng, Jingyan Shen, Liu Ziyin, Paul Pu Liang, Huan Zhang:
When Reasoning Meets Its Laws. CoRR abs/2512.17901 (2025)
2024
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Tianang Leng, Cesar de la Fuente-Nunez:
AI in biomaterials discovery: generating self-assembling peptides with resource-efficient deep learning. Nat. Mac. Intell. 6(12): 1429-1430 (2024)
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Tianang Leng, Yiming Zhang, Kun Han, Xiaohui Xie:
Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning. WACV 2024: 7910-7920
2023
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  - journals/corr/abs-2308-16466
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Yiming Zhang, Tianang Leng, Kun Han, Xiaohui Xie:
Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning. CoRR abs/2308.16466 (2023)

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