Added author page for You Zhang

data/xml/2021.findings.xml

@@ -2577,7 +2577,7 @@
     </paper>
     <paper id="206">
       <title><fixed-case>MA</fixed-case>-<fixed-case>BERT</fixed-case>: Learning Representation by Incorporating Multi-Attribute Knowledge in Transformers</title>
-      <author><first>You</first><last>Zhang</last></author>
+      <author id="you-zhang"><first>You</first><last>Zhang</last></author>
       <author><first>Jin</first><last>Wang</last></author>
       <author><first>Liang-Chih</first><last>Yu</last></author>
       <author><first>Xuejie</first><last>Zhang</last></author>

data/xml/2023.findings.xml

@@ -13385,7 +13385,7 @@
     </paper>
     <paper id="810">
       <title>Domain Generalization via Switch Knowledge Distillation for Robust Review Representation</title>
-      <author orcid="0000-0002-9599-2676"><first>You</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>
+      <author orcid="0000-0002-9599-2676" id="you-zhang"><first>You</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>
       <author orcid="0000-0002-8298-4378"><first>Jin</first><last>Wang</last><affiliation>Yunnan University</affiliation></author>
       <author orcid="0000-0003-1443-4347"><first>Liang-Chih</first><last>Yu</last><affiliation>Yuan Ze University</affiliation></author>
       <author><first>Dan</first><last>Xu</last><affiliation>Yunnan University</affiliation></author>

data/xml/2023.rocling.xml

@@ -378,7 +378,7 @@
     <paper id="40">
       <title><fixed-case>YNU</fixed-case>-<fixed-case>HPCC</fixed-case> at <fixed-case>ROCLING</fixed-case> 2023 <fixed-case>M</fixed-case>ulti<fixed-case>NER</fixed-case>-Health Task: A transformer-based approach for <fixed-case>C</fixed-case>hinese healthcare <fixed-case>NER</fixed-case></title>
       <author><first>Chonglin</first><last>Pang</last></author>
-      <author><first>You</first><last>Zhang</last></author>
+      <author id="you-zhang"><first>You</first><last>Zhang</last></author>
       <author><first>Xiaobing</first><last>Zhou</last></author>
       <pages>317–324</pages>
       <url hash="3e4ecc58">2023.rocling-1.40</url>

data/xml/2023.semeval.xml

@@ -3414,7 +3414,7 @@
     <paper id="286">
       <title><fixed-case>YNU</fixed-case>-<fixed-case>HPCC</fixed-case> at <fixed-case>S</fixed-case>em<fixed-case>E</fixed-case>val-2023 Task 6: <fixed-case>LEGAL</fixed-case>-<fixed-case>BERT</fixed-case> Based Hierarchical <fixed-case>B</fixed-case>i<fixed-case>LSTM</fixed-case> with <fixed-case>CRF</fixed-case> for Rhetorical Roles Prediction</title>
       <author><first>Yu</first><last>Chen</last><affiliation>Yunnan University</affiliation></author>
-      <author><first>You</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>
+      <author id="you-zhang"><first>You</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>
       <author><first>Jin</first><last>Wang</last><affiliation>Yunnan University</affiliation></author>
       <author><first>Xuejie</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>
       <pages>2075-2081</pages>

data/xml/2023.wassa.xml

@@ -750,7 +750,7 @@
     <paper id="60">
       <title><fixed-case>YNU</fixed-case>-<fixed-case>HPCC</fixed-case> at <fixed-case>WASSA</fixed-case> 2023: Using Text-Mixed Data Augmentation for Emotion Classification on Code-Mixed Text Message</title>
       <author><first>Xuqiao</first><last>Ran</last></author>
-      <author><first>You</first><last>Zhang</last></author>
+      <author id="you-zhang"><first>You</first><last>Zhang</last></author>
       <author><first>Jin</first><last>Wang</last></author>
       <author><first>Dan</first><last>Xu</last></author>
       <author><first>Xuejie</first><last>Zhang</last></author>

data/xml/2024.lrec.xml

@@ -9156,7 +9156,7 @@
     </paper>
     <paper id="777">
       <title>Improving Personalized Sentiment Representation with Knowledge-enhanced and Parameter-efficient Layer Normalization</title>
-      <author><first>You</first><last>Zhang</last></author>
+      <author id="you-zhang"><first>You</first><last>Zhang</last></author>
       <author><first>Jin</first><last>Wang</last></author>
       <author><first>Liang-Chih</first><last>Yu</last></author>
       <author><first>Dan</first><last>Xu</last></author>

data/xml/2024.sighan.xml

@@ -147,7 +147,7 @@
     <paper id="11">
       <title><fixed-case>YNU</fixed-case>-<fixed-case>HPCC</fixed-case> at <fixed-case>SIGHAN</fixed-case>-2024 dim<fixed-case>ABSA</fixed-case> Task: Using <fixed-case>PLM</fixed-case>s with a Joint Learning Strategy for Dimensional Intensity Prediction</title>
       <author><first>Zehui</first><last>Wang</last><affiliation>NA</affiliation></author>
-      <author orcid="0000-0002-9599-2676"><first>You</first><last>Zhang</last></author>
+      <author orcid="0000-0002-9599-2676" id="you-zhang"><first>You</first><last>Zhang</last></author>
       <author><first>Jin</first><last>Wang</last><affiliation>Yunnan University</affiliation></author>
       <author orcid="0000-0003-4602-3550"><first>Dan</first><last>Xu</last></author>
       <author><first>Xuejie</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>

data/xml/2025.naacl.xml

@@ -11957,7 +11957,7 @@
       <author><first>Haibin</first><last>Wu</last></author>
       <author><first>Darius</first><last>Petermann</last></author>
       <author><first>Jia Qi</first><last>Yip</last></author>
-      <author><first>You</first><last>Zhang</last></author>
+      <author id="you-zhang-rochester"><first>You</first><last>Zhang</last></author>
       <author><first>Yuxun</first><last>Tang</last></author>
       <author><first>Wangyou</first><last>Zhang</last></author>
       <author><first>Dareen Safar</first><last>Alharthi</last></author>

data/xml/2025.semeval.xml

@@ -2652,7 +2652,7 @@
     <paper id="248">
       <title><fixed-case>YNU</fixed-case>-<fixed-case>HPCC</fixed-case> at <fixed-case>S</fixed-case>em<fixed-case>E</fixed-case>val-2025 Task 6: Using <fixed-case>BERT</fixed-case> Model with <fixed-case>R</fixed-case>-drop for Promise Verification</title>
       <author><first>Dehui</first><last>Deng</last><affiliation>Yunnan University</affiliation></author>
-      <author><first>You</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>
+      <author id="you-zhang"><first>You</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>
       <author><first>Jin</first><last>Wang</last><affiliation>Yunnan University</affiliation></author>
       <author><first>Dan</first><last>Xu</last><affiliation>Yunnan University</affiliation></author>
       <author><first>Xuejie</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>
@@ -2762,7 +2762,7 @@
     <paper id="258">
       <title><fixed-case>YNU</fixed-case>-<fixed-case>HPCC</fixed-case> at <fixed-case>S</fixed-case>em<fixed-case>E</fixed-case>val-2025 Task 10: A Two-Stage Approach to Solving Multi-Label and Multi-Class Role Classification Based on <fixed-case>D</fixed-case>e<fixed-case>BERT</fixed-case>a</title>
       <author><first>Ning</first><last>Li</last><affiliation>Yunnan University</affiliation></author>
-      <author><first>You</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>
+      <author id="you-zhang"><first>You</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>
       <author><first>Jin</first><last>Wang</last><affiliation>Yunnan University</affiliation></author>
       <author><first>Dan</first><last>Xu</last><affiliation>Yunnan University</affiliation></author>
       <author><first>Xuejie</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>
@@ -2885,7 +2885,7 @@
     <paper id="270">
       <title><fixed-case>YNU</fixed-case>-<fixed-case>HPCC</fixed-case> at <fixed-case>S</fixed-case>em<fixed-case>E</fixed-case>val-2025 Task 1: Enhancing Multimodal Idiomaticity Representation via <fixed-case>L</fixed-case>o<fixed-case>RA</fixed-case> and Hybrid Loss Optimization</title>
       <author><first>Liu</first><last>Lei</last><affiliation>Yunnan University</affiliation></author>
-      <author><first>You</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>
+      <author id="you-zhang"><first>You</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>
       <author><first>Jin</first><last>Wang</last><affiliation>Yunnan University</affiliation></author>
       <author><first>Dan</first><last>Xu</last><affiliation>Yunnan University</affiliation></author>
       <author><first>Xuejie</first><last>Zhang</last><affiliation>Yunnan University</affiliation></author>

data/xml/I17.xml

@@ -2544,7 +2544,7 @@
     <paper id="35">
       <title><fixed-case>YNU</fixed-case>-<fixed-case>HPCC</fixed-case> at <fixed-case>IJCNLP</fixed-case>-2017 Task 5: Multi-choice Question Answering in Exams Using an Attention-based <fixed-case>LSTM</fixed-case> Model</title>
       <author><first>Hang</first><last>Yuan</last></author>
-      <author><first>You</first><last>Zhang</last></author>
+      <author id="you-zhang"><first>You</first><last>Zhang</last></author>
       <author><first>Jin</first><last>Wang</last></author>
       <author><first>Xuejie</first><last>Zhang</last></author>
       <pages>208–212</pages>

data/xml/S18.xml

@@ -474,7 +474,7 @@
     </paper>
     <paper id="40">
       <title><fixed-case>YNU</fixed-case>-<fixed-case>HPCC</fixed-case> at <fixed-case>S</fixed-case>em<fixed-case>E</fixed-case>val-2018 Task 1: <fixed-case>B</fixed-case>i<fixed-case>LSTM</fixed-case> with Attention based Sentiment Analysis for Affect in Tweets</title>
-      <author><first>You</first><last>Zhang</last></author>
+      <author id="you-zhang"><first>You</first><last>Zhang</last></author>
       <author><first>Jin</first><last>Wang</last></author>
       <author><first>Xuejie</first><last>Zhang</last></author>
       <pages>273–278</pages>

data/xml/W17.xml

@@ -10698,7 +10698,7 @@ with emotion annotation. We (a) analyse annotation reliability and annotation me
     </paper>
     <paper id="27">
       <title><fixed-case>YNU</fixed-case>-<fixed-case>HPCC</fixed-case> at <fixed-case>E</fixed-case>mo<fixed-case>I</fixed-case>nt-2017: Using a <fixed-case>CNN</fixed-case>-<fixed-case>LSTM</fixed-case> Model for Sentiment Intensity Prediction</title>
-      <author><first>You</first><last>Zhang</last></author>
+      <author id="you-zhang"><first>You</first><last>Zhang</last></author>
       <author><first>Hang</first><last>Yuan</last></author>
       <author><first>Jin</first><last>Wang</last></author>
       <author><first>Xuejie</first><last>Zhang</last></author>

data/yaml/name_variants.yaml

@@ -1725,6 +1725,14 @@
 - canonical: {first: Mei-hua, last: Chen}
   variants:
   - {first: Mei-Hua, last: Chen}
+- canonical: {first: You, last: Zhang}
+  id: you-zhang-rochester
+  orcid: 0000-0002-4649-278X
+  institution: University of Rochester
+  comment: Rochester
+- canonical: {first: You, last: Zhang}
+  id: you-zhang
+  comment: May refer to several people
 - canonical: {first: Mia Xu, last: Chen}
   variants:
   - {first: Mia, last: Chen}