UniResearch Community | Yan Xu | Favorites https://community.uniresearch.ai/members/yanxu/activity/favorites/ Activity feed of Yan Xu's saved posts. Fri, 11 Sep 2026 11:08:05 +0800 https://buddypress.org/?v=3.4.4 en-US 30 hourly 2 49a6a3064e9c06329715d9916fc85b20 Benjamin Hill posted an update: Academic Question & Discussion Many researchers fall […] https://community.uniresearch.ai/news-feed/p/496/ Fri, 21 Aug 2026 04:01:06 +0800 Academic Question & Discussion

Many researchers fall into a dilemma: pursuing rigorous experimental research will delay publication, while rushing papers may lead to insufficient research depth. How do you balance research quality and publication efficiency in daily academic work?

]]> 3 5aa1e9205e4b0f53bef58d2bb7bb5cae Mark Taylor posted an update: Data collection is the foundation of all empirical […] https://community.uniresearch.ai/news-feed/p/455/ Thu, 20 Aug 2026 14:22:25 +0800 Data collection is the foundation of all empirical and computational research. However, many researchers waste months on invalid data screening, low‑quality data cleaning and inconsistent data standards. What efficient data collection and filtering workflows do you adopt to accelerate your research progress?

]]> 3 78c7cf05ef009730b43eb5a8be9e59e7 Xiulan Jiang posted an update: Experimental reproducibility is the basic principle […] https://community.uniresearch.ai/news-feed/p/454/ Thu, 20 Aug 2026 14:22:19 +0800 Experimental reproducibility is the basic principle of academic research, but many published papers have unrepeatable experimental results due to incomplete parameter records and hidden operation details. How can we strictly guarantee research reproducibility in daily experiments?

]]> 3 427a47570aa334b04fcabd6c99a0de4a Dylan Rogers posted an update: Just wrapped up a major round of journal revisions. […] https://community.uniresearch.ai/news-feed/p/416/ Thu, 20 Aug 2026 10:18:52 +0800 Just wrapped up a major round of journal revisions. One lesson learned: address every single reviewer comment explicitly, even when you disagree. Polite, evidence‑backed rebuttals work far better than defensive responses. What’s your best revision advice for early‑career researchers?

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