{
 "type": "researcher",
 "question": "Who collaborates with Han-Jia Ye?",
 "id": "A5065180062",
 "name": "Han-Jia Ye",
 "url": "https://researcher-atlas.com/researcher/han-jia-ye-a5065180062/",
 "total_coauthors": 71,
 "displayed_coauthors": 20,
 "display_limit": 20,
 "data_version": "2026.07-r1",
 "updated": "2026-07-28",
 "source": "OpenAlex (CC0)",
 "answer": "Atlas records 71 co-authors for Han-Jia Ye, who works on Domain Adaptation and Few-Shot Learning; the 20 strongest connections are shown. The strongest collaboration is with De-Chuan Zhan (100 joint papers).",
 "metrics": {
  "cited_by_count": 3738,
  "works_count": 149
 },
 "affiliation_latest": "Nanjing University",
 "co_authors": [
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   "name": "De-Chuan Zhan",
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   "joint_papers": 100,
   "cited_by_count": 4209,
   "url": "https://researcher-atlas.com/researcher/de-chuan-zhan-a5073912249/"
  },
  {
   "name": "Si-Yang Liu",
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   "cited_by_count": 7,
   "url": "https://researcher-atlas.com/researcher/si-yang-liu-a5124405354/"
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  {
   "name": "Da-Wei Zhou",
   "openalex_id": "A5100655948",
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   "cited_by_count": 2014,
   "url": "https://researcher-atlas.com/researcher/da-wei-zhou-a5100655948/"
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  {
   "name": "Yi-Kai Zhang",
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   "cited_by_count": 2,
   "url": "https://researcher-atlas.com/researcher/yi-kai-zhang-a5117111257/"
  },
  {
   "name": "Shiyin Lu",
   "openalex_id": "A5024572427",
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   "cited_by_count": 202,
   "url": "https://researcher-atlas.com/researcher/shiyin-lu-a5024572427/"
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  {
   "name": "Weihua Luo",
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   "url": "https://researcher-atlas.com/researcher/weihua-luo-a5085736941/"
  },
  {
   "name": "Qing-Guo Chen",
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   "joint_papers": 7,
   "cited_by_count": 332,
   "url": "https://researcher-atlas.com/researcher/qing-guo-chen-a5100638352/"
  },
  {
   "name": "Wei-Lun (Harry) Chao",
   "openalex_id": "A5127828439",
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   "cited_by_count": 0,
   "url": "https://researcher-atlas.com/researcher/wei-lun-harry-chao-a5127828439/"
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   "name": "Chao Yi",
   "openalex_id": "A5113614948",
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   "url": "https://researcher-atlas.com/researcher/chao-yi-a5113614948/"
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   "name": "Ting-Ji Huang",
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   "cited_by_count": 10,
   "url": "https://researcher-atlas.com/researcher/ting-ji-huang-a5101238180/"
  },
  {
   "name": "Tao Zhou",
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   "url": "https://researcher-atlas.com/researcher/tao-zhou-a5090925242/"
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  {
   "name": "Huai-Hong Yin",
   "openalex_id": "A5102702019",
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   "cited_by_count": 1,
   "url": "https://researcher-atlas.com/researcher/huai-hong-yin-a5102702019/"
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  {
   "name": "Zhao Xu",
   "openalex_id": "A5022043115",
   "joint_papers": 3,
   "cited_by_count": 1473,
   "url": "https://researcher-atlas.com/researcher/zhao-xu-a5022043115/"
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  {
   "name": "Xu-Yang Chen",
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   "joint_papers": 2,
   "cited_by_count": 802,
   "url": "https://researcher-atlas.com/researcher/xu-yang-chen-a5101513284/"
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  {
   "name": "Han Lu",
   "openalex_id": "A5103675259",
   "joint_papers": 1,
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   "url": "https://researcher-atlas.com/researcher/han-lu-a5103675259/"
  },
  {
   "name": "Yu-Cheng Shi",
   "openalex_id": "A5020742185",
   "joint_papers": 1,
   "cited_by_count": 0,
   "url": "https://researcher-atlas.com/researcher/yu-cheng-shi-a5020742185/"
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  {
   "name": "Jun-Tao Tang",
   "openalex_id": "A5124898394",
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   "cited_by_count": 0,
   "url": "https://researcher-atlas.com/researcher/jun-tao-tang-a5124898394/"
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  {
   "name": "Jia-Qi Yang",
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   "cited_by_count": 0,
   "url": "https://researcher-atlas.com/researcher/jia-qi-yang-a5129735711/"
  },
  {
   "name": "Chunxu Shen",
   "openalex_id": "A5102314566",
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   "cited_by_count": 71,
   "url": "https://researcher-atlas.com/researcher/chunxu-shen-a5102314566/"
  },
  {
   "name": "Yao-Xiang Ding",
   "openalex_id": "A5045601793",
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   "cited_by_count": 85,
   "url": "https://researcher-atlas.com/researcher/yao-xiang-ding-a5045601793/"
  }
 ],
 "topics": [
  {
   "id": "T11307",
   "name": "Domain Adaptation and Few-Shot Learning",
   "works_count": 75,
   "subfield": "Artificial Intelligence",
   "field": "Computer Science"
  },
  {
   "id": "T11714",
   "name": "Multimodal Machine Learning Applications",
   "works_count": 40,
   "subfield": "Computer Vision and Pattern Recognition",
   "field": "Computer Science"
  },
  {
   "id": "T12535",
   "name": "Machine Learning and Data Classification",
   "works_count": 24,
   "subfield": "Artificial Intelligence",
   "field": "Computer Science"
  },
  {
   "id": "T10028",
   "name": "Topic Modeling",
   "works_count": 13,
   "subfield": "Artificial Intelligence",
   "field": "Computer Science"
  },
  {
   "id": "T10181",
   "name": "Natural Language Processing Techniques",
   "works_count": 12,
   "subfield": "Artificial Intelligence",
   "field": "Computer Science"
  }
 ],
 "topics_note": "OpenAlex exposes only this author's top 5 topics.",
 "papers": [
  {
   "title": "Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions",
   "year": 2020,
   "cited_by_count": 738
  },
  {
   "title": "FOSTER: Feature Boosting and Compression for Class-Incremental Learning",
   "year": 2022,
   "cited_by_count": 286
  },
  {
   "title": "Forward Compatible Few-Shot Class-Incremental Learning",
   "year": 2022,
   "cited_by_count": 264
  },
  {
   "title": "Learning Placeholders for Open-Set Recognition",
   "year": 2021,
   "cited_by_count": 232
  },
  {
   "title": "Class-Incremental Learning: A Survey",
   "year": 2024,
   "cited_by_count": 221
  },
  {
   "title": "The Capacity and Robustness Trade-Off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting",
   "year": 2024,
   "cited_by_count": 161
  },
  {
   "title": "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks",
   "year": 2022,
   "cited_by_count": 147
  },
  {
   "title": "Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need",
   "year": 2024,
   "cited_by_count": 117
  }
 ]
}