UniResearch Community | Xiulan Jiang | Activity https://community.uniresearch.ai/members/xiulanjiang/activity/ Activity feed for Xiulan Jiang. Fri, 11 Sep 2026 11:08:05 +0800 https://buddypress.org/?v=3.4.4 en-US 30 hourly 2 eeee0a643312011e77a33e74bbf433f5 Xiulan Jiang posted a new activity comment https://community.uniresearch.ai/news-feed/p/1003/#acomment-1020 Wed, 09 Sep 2026 11:13:58 +0800 Share a single collaborative document tracking task completion progress.

In reply to - Nathan Phillips posted an update

Collaboration

Cross‑institute cross‑disciplinary projects bring diverse expertise, but task allocation can become messy when teams follow different lab workflows. What […]

]]> d3694049f3dcdbd230bc6679aa1dcc42 Xiulan Jiang posted a new activity comment https://community.uniresearch.ai/news-feed/p/803/#acomment-833 Wed, 02 Sep 2026 01:13:23 +0800 Time cost of peer reviewing should not be ignored.

In reply to - Nicolina posted an update Writing peer reviews is an essential academic skill. Kind, specific and evidence‑based feedback benefits both authors and the whole community, instead of vague negative remarks. ]]> b5e79fe228530c0913542796dcb93391 Xiulan Jiang posted a new activity comment https://community.uniresearch.ai/news-feed/p/580/#acomment-599 Tue, 25 Aug 2026 03:49:42 +0800 Find collaborators from that field; quick discussions clear up confusion far faster than solo reading.

In reply to - Tao Zhu posted an update When reading papers outside your primary domain, unfamiliar terminology and baseline assumptions create steep barriers. What routines help you efficiently absorb cross‑discipline literature? ]]> f05892ffb19c75ad614dd021fb15f2a6 Xiulan Jiang posted a new activity comment https://community.uniresearch.ai/news-feed/p/553/#acomment-557 Mon, 24 Aug 2026 01:19:57 +0800 Multi‑task works best when tasks share strong semantic similarities; conflicting objectives will drag overall performance down.

In reply to - Jacob Lewis posted an update Multi‑task learning looks promising on benchmark leaderboards. But when deployed to messy real‑world datasets, sometimes single‑task fine‑tuned models beat multi‑task […] ]]> 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?

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