Rapid start-up of a nitritation granular reactor using activated sludge as inoculum at the influent organics/ammonium mass ratio of 2/1 von Wang, Jianfang, Zhang, Zeyu, Qian, Feiyue, Shen, Yaoliang, Qi, Zekun, Ji, Xiaoqing, Kajamisso, Emma Marcello Lagu

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Bidirectional transformation between BPMN and BPEL with graph grammar von Shi, Zhan, Zeng, Xiaoqin, Zhang, Tingting, Huang, Song, Qi, Zekun, Li, Hui, Hu, Bin, Yao, Yi, Zhong, Shuiming

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ShapeLLM: Universal 3D Object Understanding for Embodied Interaction von Qi, Zekun, Dong, Runpei, Zhang, Shaochen, Geng, Haoran, Han, Chunrui, Ge, Zheng, Yi, Li, Ma, Kaisheng

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热带西太平洋碳酸盐溶跃深度及其变化规律 von 齐泽坤, 徐继尚, 李广雪, 赵蒙维, 翟科, 龙海燕, 熊梦君

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Positional Prompt Tuning for Efficient 3D Representation Learning von Zhang, Shaochen, Qi, Zekun, Dong, Runpei, Bai, Xiuxiu, Wei, Xing

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VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation von Qi, Zekun, Yu, Muzhou, Dong, Runpei, Ma, Kaisheng

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Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast von Fan, Guofan, Qi, Zekun, Shi, Wenkai, Ma, Kaisheng

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ShapeLLM: Universal 3D Object Understanding for Embodied Interaction von Qi, Zekun, Dong, Runpei, Zhang, Shaochen, Geng, Haoran, Han, Chunrui, Ge, Zheng, Yi, Li, Ma, Kaisheng

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Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining von Qi, Zekun, Dong, Runpei, Fan, Guofan, Ge, Zheng, Zhang, Xiangyu, Ma, Kaisheng, Yi, Li

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Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? von Dong, Runpei, Qi, Zekun, Zhang, Linfeng, Zhang, Junbo, Sun, Jianjian, Ge, Zheng, Yi, Li, Ma, Kaisheng

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DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation von Peng, Yuang, Cui, Yuxin, Tang, Haomiao, Qi, Zekun, Dong, Runpei, Bai, Jing, Han, Chunrui, Ge, Zheng, Zhang, Xiangyu, Xia, Shu-Tao

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Positional Prompt Tuning for Efficient 3D Representation Learning von Zhang, Shaochen, Qi, Zekun, Dong, Runpei, Bai, Xiuxiu, Xing, Wei

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DreamLLM: Synergistic Multimodal Comprehension and Creation von Dong, Runpei, Han, Chunrui, Peng, Yuang, Qi, Zekun, Ge, Zheng, Yang, Jinrong, Zhao, Liang, Sun, Jianjian, Zhou, Hongyu, Wei, Haoran, Kong, Xiangwen, Zhang, Xiangyu, Ma, Kaisheng, Yi, Li

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VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation von Qi, Zekun, Yu, Muzhou, Dong, Runpei, Ma, Kaisheng

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Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast von Fan, Guofan, Qi, Zekun, Shi, Wenkai, Ma, Kaisheng

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ShapeLLM: Universal 3D Object Understanding for Embodied Interaction von Qi, Zekun, Dong, Runpei, Zhang, Shaochen, Geng, Haoran, Han, Chunrui, Zheng, Ge, Li, Yi, Ma, Kaisheng

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Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining von Qi, Zekun, Dong, Runpei, Fan, Guofan, Zheng, Ge, Zhang, Xiangyu, Ma, Kaisheng, Li, Yi

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Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? von Dong, Runpei, Qi, Zekun, Zhang, Linfeng, Zhang, Junbo, Sun, Jianjian, Zheng, Ge, Li, Yi, Ma, Kaisheng

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DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation von Peng, Yuang, Cui, Yuxin, Tang, Haomiao, Qi, Zekun, Dong, Runpei, Bai, Jing, Han, Chunrui, Zheng, Ge, Zhang, Xiangyu, Shu-Tao, Xia

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DreamLLM: Synergistic Multimodal Comprehension and Creation von Dong, Runpei, Han, Chunrui, Peng, Yuang, Qi, Zekun, Zheng, Ge, Yang, Jinrong, Zhao, Liang, Sun, Jianjian, Zhou, Hongyu, Haoran Wei, Kong, Xiangwen, Zhang, Xiangyu, Ma, Kaisheng, Li, Yi

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