Probiotic neoantigen delivery vectors for precision cancer immunotherapy von Redenti, Andrew, Im, Jongwon, Redenti, Benjamin, Li, Fangda, Rouanne, Mathieu, Sheng, Zeren, Sun, William, Gurbatri, Candice R., Huang, Shunyu, Komaranchath, Meghna, Jang, YoungUk, Hahn, Jaeseung, Ballister, Edward R., Vincent, Rosa L., Vardoshivilli, Ana, Danino, Tal, Arpaia, Nicholas

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Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection von Liu, Huafeng, Sheng, Mengmeng, Sun, Zeren, Yao, Yazhou, Hua, Xian-Sheng, Shen, Heng-Tao

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Boosting Robust Learning Via Leveraging Reusable Samples in Noisy Web Data von Sun, Zeren, Yao, Yazhou, Wei, Xiu-Shen, Shen, Fumin, Zhang, Jian, Hua, Xian-Sheng

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Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline von Li, Yangguang, Huang, Bin, Chen, Zeren, Cui, Yufeng, Liang, Feng, Shen, Mingzhu, Liu, Fenggang, Xie, Enze, Sheng, Lu, Ouyang, Wanli, Shao, Jing

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Foster Adaptivity and Balance in Learning with Noisy Labels

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Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection von Liu, Huafeng, Sheng, Mengmeng, Sun, Zeren, Yao, Yazhou, Hua, Xian-Sheng, Shen, Heng-Tao

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A Topic-level Self-Correctional Approach to Mitigate Hallucinations in MLLMs von He, Lehan, Chen, Zeren, Shi, Zhelun, Yu, Tianyu, Shao, Jing, Sheng, Lu

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Relating CNN-Transformer Fusion Network for Change Detection von Gao, Yuhao, Pei, Gensheng, Sheng, Mengmeng, Sun, Zeren, Chen, Tao, Yao, Yazhou

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Foster Adaptivity and Balance in Learning with Noisy Labels von Sheng, Mengmeng, Sun, Zeren, Chen, Tao, Pang, Shuchao, Wang, Yucheng, Yao, Yazhou

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New amide alkaloids from Delphinium brunonianum von Zou, Yuan-Sheng, Dawa, Zeren, Lin, Chao-Zhan, Zhang, Qiu-Yu, Yao, Yu-Feng, Yuan, Yue, Zhu, Chen-Chen, Wang, Zi-Yuan

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Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning von Sheng, Mengmeng, Sun, Zeren, Cai, Zhenhuang, Chen, Tao, Zhou, Yichao, Yao, Yazhou

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Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE von Chen, Zeren, Wang, Ziqin, Wang, Zhen, Liu, Huayang, Yin, Zhenfei, Liu, Si, Sheng, Lu, Ouyang, Wanli, Qiao, Yu, Shao, Jing

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RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents von Chen, Zeren, Shi, Zhelun, Lu, Xiaoya, He, Lehan, Qian, Sucheng, Fang, Hao Shu, Yin, Zhenfei, Ouyang, Wanli, Shao, Jing, Qiao, Yu, Lu, Cewu, Sheng, Lu

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Siamese DETR von Chen, Zeren, Huang, Gengshi, Li, Wei, Teng, Jianing, Wang, Kun, Shao, Jing, Loy, Chen Change, Sheng, Lu

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Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline von Li, Yangguang, Huang, Bin, Chen, Zeren, Cui, Yufeng, Liang, Feng, Shen, Mingzhu, Liu, Fenggang, Xie, Enze, Sheng, Lu, Ouyang, Wanli, Shao, Jing

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Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection von Liu, Huafeng, Sheng, Mengmeng, Zeren Sun, Yao, Yazhou, Xian-Sheng Hua, Heng-Tao, Shen

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A Topic-level Self-Correctional Approach to Mitigate Hallucinations in MLLMs von Lehan He, Chen, Zeren, Shi, Zhelun, Yu, Tianyu, Shao, Jing, Lu, Sheng

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Salvage Reusable Samples from Noisy Data for Robust Learning von Sun, Zeren, Hua, Xian-Sheng, Yao, Yazhou, Wei, Xiu-Shen, Hu, Guosheng, Zhang, Jian

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Foster Adaptivity and Balance in Learning with Noisy Labels von Sheng, Mengmeng, Zeren Sun, Chen, Tao, Pang, Shuchao, Wang, Yucheng, Yao, Yazhou

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Relating CNN-Transformer Fusion Network for Change Detection von Gao, Yuhao, Pei, Gensheng, Sheng, Mengmeng, Zeren Sun, Chen, Tao, Yao, Yazhou

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