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	<title>UniResearch Community | Hai Yuan | Activity</title>
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				<title>Hai Yuan posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/2314/#acomment-2325</link>
				<pubDate>Tue, 27 Oct 2026 01:16:50 +0800</pubDate>

									<content:encoded><![CDATA[<p>Supplements can hide major weaknesses if review attention is inconsistent.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/hongfeng/" data-bb-hp-profile="343" rel="nofollow">Hong Feng</a> posted an update <p><strong>Paper Discussion</strong></p>
<p>Some reviewers barely look at supplements; others treat them as equally important. Should journals require the same depth of review for appendices and supplementary figures?</p>					]]></content:encoded>
				
				
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				<title>Hai Yuan posted an update: Collaboration
Long grants run into delays: [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/2266/</link>
				<pubDate>Fri, 23 Oct 2026 09:47:17 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Collaboration</strong></p>
<p>Long grants run into delays: equipment failures, staff turnover, supply chain issues. A risk register helps anticipate these. What risks should you track most carefully?</p>
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									<slash:comments>3</slash:comments>
				
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				<title>Hai Yuan posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/2150/#acomment-2168</link>
				<pubDate>Fri, 16 Oct 2026 12:30:51 +0800</pubDate>

									<content:encoded><![CDATA[<p>New analyses directly answering explicit reviewer requests are fully appropriate.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/daniellopez/" data-bb-hp-profile="268" rel="nofollow">Daniel Lopez</a> posted an update <p><strong>Paper Discussion</strong></p>
<p>During revision many authors run brand‑new analyses beyond what original submission contained. Some new analyses are reasonable responses to reviewer feedback, [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Hai Yuan posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1694/#acomment-1717</link>
				<pubDate>Sun, 27 Sep 2026 13:47:34 +0800</pubDate>

									<content:encoded><![CDATA[<p>Think about causal pathways: what factors could simultaneously influence exposure and outcome?</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/jeffreyclark/" data-bb-hp-profile="282" rel="nofollow">Jeffrey Clark</a> posted an update <p><strong>Method Help</strong></p>
<p>Observational research cannot fully control experimental conditions, so confounding variables represent a major threat to valid inference. What practical step‑by‑step [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Hai Yuan posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1682/#acomment-1699</link>
				<pubDate>Sun, 27 Sep 2026 09:43:46 +0800</pubDate>

									<content:encoded><![CDATA[<p>Pair bad‑news updates together with your proposed mitigation options.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/guiyinggao/" data-bb-hp-profile="335" rel="nofollow">Guiying Gao</a> posted an update <p><strong>Collaboration</strong></p>
<p>During joint projects you sometimes need to communicate bad news: failed experiments, timeline slips or resource shortages. Delivering these messages poorly can [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Hai Yuan posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1370/#acomment-1377</link>
				<pubDate>Sat, 19 Sep 2026 07:14:09 +0800</pubDate>

									<content:encoded><![CDATA[<p>Prepare an outline and all relevant figures before starting to write prose.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/junshen/" data-bb-hp-profile="363" rel="nofollow">Jun Shen</a> posted an update <p><strong>Method Help</strong></p>
<p>Writing is often the slowest part of research output. Many researchers struggle with maintaining productive writing sessions. What practical habits make your dedicated [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Hai Yuan posted an update: Method Help
Introduction length varies widely across [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/1374/</link>
				<pubDate>Sat, 19 Sep 2026 07:13:57 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Method Help</strong></p>
<p>Introduction length varies widely across papers. Too little background leaves readers without context; too much buries your own contribution. How do you decide the right amount of background to include?</p>
]]></content:encoded>
				
									<slash:comments>4</slash:comments>
				
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				<title>Hai Yuan posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1231/#acomment-1250</link>
				<pubDate>Thu, 17 Sep 2026 08:56:52 +0800</pubDate>

									<content:encoded><![CDATA[<p>Robustness analysis should be a normal part of solid empirical research, not an optional extra.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/yulanyu/" data-bb-hp-profile="355" rel="nofollow">Yulan Yu</a> posted an update <p><strong>Paper Discussion</strong></p>
<p>Experimental results often look strong on one particular setting but may not generalise. Robustness testing, such as varying parameters or data conditions, [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Hai Yuan posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1154/#acomment-1165</link>
				<pubDate>Tue, 15 Sep 2026 02:35:40 +0800</pubDate>

									<content:encoded><![CDATA[<p>Quantity‑focused metrics favour incremental safe projects over high‑risk breakthroughs.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/thomasrodriguez/" data-bb-hp-profile="265" rel="nofollow">Thomas Rodriguez</a> posted an update <p><strong>Research Idea</strong></p>
<p>Publication frequency has become a dominant evaluation metric in many institutions. This creates pressure to publish often, sometimes at the expense of deeper [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Hai Yuan posted an update: Question
Lots of partial results appear during research. [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/1117/</link>
				<pubDate>Sun, 13 Sep 2026 03:43:04 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Question</strong></p>
<p>Lots of partial results appear during research. Not every partial finding turns into a full manuscript. What internal practical thresholds do you apply before committing time to full manuscript drafting?</p>
]]></content:encoded>
				
									<slash:comments>4</slash:comments>
				
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				<title>Hai Yuan posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/662/#acomment-673</link>
				<pubDate>Thu, 27 Aug 2026 11:09:34 +0800</pubDate>

									<content:encoded><![CDATA[<p>I wish we could filter trends by specific conference/journal sources for higher signal quality.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/bb-trent/" data-bb-hp-profile="10" rel="nofollow">Trent</a> posted an update I’ve been watching UniResearch’s trend dashboard to spot newly‑rising topics before they become over‑crowded. It aggregates recent paper keywords and publication volume shifts. What [&hellip;]					]]></content:encoded>
				
				
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				<title>Hai Yuan posted an update: LaTeX is standard, but many auxiliary tools can smooth [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/666/</link>
				<pubDate>Thu, 27 Aug 2026 09:43:22 +0800</pubDate>

									<content:encoded><![CDATA[<p>LaTeX is standard, but many auxiliary tools can smooth your writing workflow. What open‑source utilities make manuscript drafting and typesetting less painful?</p>
]]></content:encoded>
				
									<slash:comments>3</slash:comments>
				
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				<title>Hai Yuan posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/553/#acomment-558</link>
				<pubDate>Mon, 24 Aug 2026 01:20:02 +0800</pubDate>

									<content:encoded><![CDATA[<p>Task weighting becomes critical, poorly weighted loss can ruin your whole training run.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/jacoblewis/" data-bb-hp-profile="284" rel="nofollow">Jacob Lewis</a> 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 [&hellip;]					]]></content:encoded>
				
				
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				<title>Hai Yuan posted an update: Academic Trend Discussion

Open science has become [&#133;]</title>
				<link>https://community.uniresearch.ai/news-feed/p/508/</link>
				<pubDate>Fri, 21 Aug 2026 09:00:59 +0800</pubDate>

									<content:encoded><![CDATA[<p><strong>Academic Trend Discussion</strong></p>
<p>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?</p>
]]></content:encoded>
				
									<slash:comments>3</slash:comments>
				
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