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	<title>UniResearch Community | Wu Yao | Activity</title>
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				<title>Wu Yao posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1065/#acomment-1089</link>
				<pubDate>Fri, 11 Sep 2026 09:41:50 +0800</pubDate>

									<content:encoded><![CDATA[<p>Refer to community‑accepted authorship criteria such as CRediT taxonomy as common reference ground.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/fengcai/" data-bb-hp-profile="353" rel="nofollow">Feng Cai</a> posted an update <p><strong>Collaboration</strong></p>
<p>Authorship‑order disagreements are a frequent source of conflict in joint research projects. What practical early‑stage practices can lower the chance of later‑time [&hellip;]</p>					]]></content:encoded>
				
				
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				<title>Wu Yao posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/1057/#acomment-1074</link>
				<pubDate>Fri, 11 Sep 2026 04:13:16 +0800</pubDate>

									<content:encoded><![CDATA[<p>When readers consistently misunderstand your main contribution no matter how you rephrase individual paragraphs.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/davidbrown/" data-bb-hp-profile="260" rel="nofollow">David Brown</a> posted an update <p><strong>Question</strong></p>
<p>Sometimes we waste lots of time polishing sentences when the core paper structure itself is flawed. What signals tell you that full structural reorganisation is unavoidable?</p>					]]></content:encoded>
				
				
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				<title>Wu Yao posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/770/#acomment-784</link>
				<pubDate>Mon, 31 Aug 2026 13:45:20 +0800</pubDate>

									<content:encoded><![CDATA[<p>Read their recent outputs before sending collaboration emails.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/jianpingcao/" data-bb-hp-profile="345" rel="nofollow">Jianping Cao</a> posted an update Finding right research partners outside your institute is not easy. You can start from cited authors, conference participants or active community contributors with overlapping research interests.					]]></content:encoded>
				
				
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				<title>Wu Yao posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/694/#acomment-710</link>
				<pubDate>Fri, 28 Aug 2026 09:43:54 +0800</pubDate>

									<content:encoded><![CDATA[<p>This matches my daily workflow, saves so much reading time.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/haicui/" data-bb-hp-profile="365" rel="nofollow">Hai Cui</a> posted an update A recent academic community survey shows over 62% of young researchers now use AI to assist initial literature screening. Most users remind everyone to double‑check all AI‑generated [&hellip;]					]]></content:encoded>
				
				
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				<title>Wu Yao posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/586/#acomment-602</link>
				<pubDate>Tue, 25 Aug 2026 07:08:50 +0800</pubDate>

									<content:encoded><![CDATA[<p>Many SOTA tweaks lack deeper interpretability; you barely understand why gains happen.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/davidbrown/" data-bb-hp-profile="260" rel="nofollow">David Brown</a> posted an update Constantly chasing state‑of‑the‑art numbers can consume huge compute and human resources. Sometimes incremental, solid analysis delivers more long‑term scientific value. How do you [&hellip;]					]]></content:encoded>
				
				
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				<title>Wu Yao posted a new activity comment</title>
				<link>https://community.uniresearch.ai/news-feed/p/534/#acomment-549</link>
				<pubDate>Sun, 23 Aug 2026 12:29:02 +0800</pubDate>

									<content:encoded><![CDATA[<p>You can build solid ablation analysis from failed attempts for your final manuscript.</p>
				<strong>In reply to</strong> -
					<a href="https://community.uniresearch.ai/members/joseturner/" data-bb-hp-profile="306" rel="nofollow">Jose Turner</a> posted an update Most experiments produce negative or neutral outcomes. Many people just discard these data and never write them up. Can negative results still bring real value to your research project?					]]></content:encoded>
				
				
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