UniResearch Community | Yulan Yu | Favorites https://community.uniresearch.ai/members/yulanyu/activity/favorites/ Activity feed of Yulan Yu's saved posts. Fri, 11 Sep 2026 11:08:05 +0800 https://buddypress.org/?v=3.4.4 en-US 30 hourly 2 967f0a8215b416a469383bcf3e3d21d4 Hai Yuan posted an update: Academic Trend Discussion Open science has become […] https://community.uniresearch.ai/news-feed/p/508/ Fri, 21 Aug 2026 09:00:59 +0800 Academic Trend Discussion

Open science has become a mainstream trend, enabling free access to papers, datasets and experimental codes. However, it also brings issues like data misuse and premature idea leakage. What’s your authentic experience and thoughts on practicing open science?

]]> 3 f680e55d5f047e0b58810633cfb2b786 William Garcia posted an update: Nowadays, most innovative research achievements come […] https://community.uniresearch.ai/news-feed/p/501/ Fri, 21 Aug 2026 06:00:52 +0800 Nowadays, most innovative research achievements come from interdisciplinary fields. Yet cross‑disciplinary study requires more time to accumulate knowledge across different domains and faces higher publication difficulty. Would you recommend new researchers to try interdisciplinary projects?

]]> 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 89de7626b9d3087a42a7af1a5c2d736b Zhen Xie posted an update: Reading top conference papers, model metrics keep […] https://community.uniresearch.ai/news-feed/p/415/ Thu, 20 Aug 2026 10:18:42 +0800 Reading top conference papers, model metrics keep climbing. But when moving these models toward real‑world inference, latency, cost and robustness often become show‑stoppers. Do you think conference evaluation frameworks should put more weight on deployment‑oriented metrics?

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