[
  {
    "id": "ai-native-workflow",
    "title": "AI Native Workflow",
    "type": [
      "research",
      "infrastructure"
    ],
    "status": "active",
    "lead": "yuhe-sui",
    "authors": [
      "jianing-zhang",
      "shufang-chen",
      "danlin-chen",
      "wang-zimeng",
      "xiaotong-li"
    ],
    "slicers": [
      "yizhe-chia"
    ],
    "summary": "Research on hierarchical, verification-gated and recoverable workflows for scaling long-horizon AI-assisted research and agent execution.",
    "derived_research": "Derived research in progress",
    "related_project_ids": [
      "geoaft"
    ]
  },
  {
    "id": "frtbtrace",
    "title": "FRTBTrace",
    "type": [
      "research"
    ],
    "status": "active",
    "lead": "yuhe-sui",
    "authors": [
      "yingzhi-tang"
    ],
    "slicers": [
      "annie-huaiyu-wang"
    ],
    "summary": "Active research on faithful, auditable, trade-level FRTB attribution.",
    "derived_research": "Derived research in progress",
    "links": {
      "arXiv preprint": "https://arxiv.org/abs/2609.32238"
    }
  },
  {
    "id": "geoaft",
    "title": "GeoAFT",
    "type": [
      "research"
    ],
    "status": "active",
    "lead": "yuhe-sui",
    "authors": [],
    "slicers": [],
    "summary": "Geometric Attention Fine-Tuning: adapting the rule a pretrained Transformer uses to compare representations, not only the representations themselves.",
    "derived_research": "Derived research in progress",
    "related_project_ids": [
      "ai-native-workflow",
      "geoattention"
    ]
  },
  {
    "id": "geoattention",
    "title": "GeoAttention",
    "type": [
      "research"
    ],
    "status": "active",
    "lead": "yuhe-sui",
    "authors": [
      "jianing-zhang",
      "xiaotong-li"
    ],
    "slicers": [],
    "summary": "Research on attention geometry, representation-relative identifiability, and geometry-adaptive prediction.",
    "derived_research": "Derived research in progress",
    "legacy_ids": [
      "attention-geometry"
    ],
    "related_project_ids": [
      "geoaft",
      "softrank"
    ]
  },
  {
    "id": "policyattention",
    "title": "PolicyAttention",
    "type": [
      "research"
    ],
    "status": "active",
    "lead": "yuhe-sui",
    "authors": [
      "shufang-chen",
      "yingzhi-tang",
      "xinyue-wu"
    ],
    "slicers": [
      "shufang-chen",
      "xinyue-wu"
    ],
    "summary": "Research on softmax policy improvement, its robustness, and its failure modes.",
    "derived_research": "Derived research in progress",
    "links": {
      "arXiv preprint": "https://arxiv.org/abs/2609.30500"
    }
  },
  {
    "id": "riskhedge",
    "title": "RiskHedge",
    "type": [
      "research"
    ],
    "status": "active",
    "lead": "yuhe-sui",
    "authors": [
      "yingzhi-tang",
      "jianing-zhang",
      "mi-zeyuan"
    ],
    "slicers": [
      "wang-zimeng",
      "yingzhi-tang"
    ],
    "summary": "Research on spectral-risk decisions, diverse scenarios, and selective robustness evaluation.",
    "derived_research": "Derived research in progress"
  },
  {
    "id": "softrank",
    "title": "SoftRank",
    "type": [
      "research"
    ],
    "status": "active",
    "lead": "yuhe-sui",
    "authors": [
      "jianing-zhang",
      "yingzhi-tang"
    ],
    "slicers": [
      "jingshu-liu"
    ],
    "summary": "Theoretical research on softmax-attention approximation rank, support geometry, and robust interaction dimension.",
    "derived_research": "Derived research in progress",
    "legacy_ids": [
      "approximation-rank-softmax-attention"
    ],
    "links": {
      "arXiv preprint": "https://arxiv.org/abs/2608.28150"
    }
  },
  {
    "id": "hedgefidelity",
    "title": "HedgeFidelity",
    "type": [
      "research"
    ],
    "status": "active",
    "lead": "yuhe-sui",
    "authors": [],
    "slicers": [],
    "summary": "An early-stage research programme with derived research in progress.",
    "derived_research": "Derived research in progress",
    "stage": "early-stage"
  },
  {
    "id": "decisionrank",
    "title": "DecisionRank",
    "type": [
      "research"
    ],
    "status": "active",
    "lead": "yuhe-sui",
    "authors": [],
    "slicers": [],
    "summary": "An early-stage research programme with derived research in progress.",
    "derived_research": "Derived research in progress",
    "stage": "early-stage"
  },
  {
    "id": "ntuinfo-com",
    "title": "ntuinfo.com",
    "type": [
      "infrastructure"
    ],
    "status": "active",
    "participants": [
      "yuhe-sui"
    ],
    "summary": "A bilingual English/Chinese full-stack web application with a quantitative, multi-criteria scoring framework (mental load, physical load, difficulty) that ranks 100+ NTU student clubs and surfaces algorithmically-driven recommendations for students.",
    "links": {
      "website": "https://ntuinfo.com"
    }
  },
  {
    "id": "alphaallocator",
    "title": "AlphaAllocator",
    "type": [
      "research",
      "competition"
    ],
    "status": "published",
    "participants": [
      "yuhe-sui"
    ],
    "summary": "A constrained Chinese financial-news overlay on classical risk-parity allocation, presented as a poster and oral at NLPCC 2026 Shared Task 4.",
    "recognition": [
      {
        "event": "NLPCC 2026 Shared Task 4",
        "track": "Track 1",
        "result": "1st"
      },
      {
        "event": "NLPCC 2026 Shared Task 4",
        "track": "Track 2",
        "result": "6th"
      }
    ],
    "links": {
      "OpenReview": "https://openreview.net/forum?id=u09PzTYNHk"
    }
  },
  {
    "id": "cffa-2026",
    "title": "CFFA 2026 — China Future Financial Analyst Competition",
    "alternate_title": "2026 第五届中国未来金融分析师大赛",
    "type": [
      "competition",
      "research"
    ],
    "status": "active",
    "participants": [
      "yuhe-sui",
      "wang-zimeng",
      "luis-ji",
      "wang-zhoufu",
      "yu-jiaxue"
    ],
    "summary": "• Built a Greenwashing Risk Score across 1,676 Chinese green-bond issuances (2016–2025), using issue-spread regressions and portfolio sorts.\n• Pricing effects are weak unconditionally, but meaningful within credit-risk buckets after controls.",
    "recognition": [
      {
        "event": "CFFA 2026",
        "result": "National Finalist"
      }
    ],
    "links": {
      "github": "https://github.com/yuhesui/CFFA-2026"
    }
  },
  {
    "id": "mathresearchos",
    "title": "MathResearchOS",
    "type": [
      "research"
    ],
    "status": "active",
    "lead": "yuhe-sui",
    "authors": [],
    "slicers": [],
    "summary": "A recoverable, audited command-line system for mathematical work: one objective becomes a staged, verifier-gated run across Codex, Claude and API models, with every attempt kept on disk.",
    "related_project_ids": [
      "ai-native-workflow"
    ]
  }
]