Jinqi Wu

Jinqi Wu

Master's Student in Computer Science

Nanjing University

Research Interests

Multimodal Large Language Models
Large Language Models for Recommendation
Multimodal Coding

About Me

I am Jinqi Wu (武锦旗), a master's student in Computer Science and Technology at Nanjing University, advised by Prof. Chaoyou Fu. My current research interest is multimodal large language models.

Previously, I received my bachelor's degree in Computer Science and Technology from Jilin University in June 2026, ranking 1st out of 351 with a GPA of 3.91/4.0.

I was a research intern at Alibaba's Taobao & Tmall Group, working on conversion attribution and CVR prediction. I later joined Meituan's LongCat team as a research intern, contributing to LongCat 2.5 and working on Vision Coding.

My first-author work appeared at KDD 2026 and CIKM 2026. I am interested in connecting language and multimodal understanding with real-world learning and decision-making problems.

Recent Updates

2026-11

Our work on LLM-based touchpoint selection appears at CIKM 2026.

2026-09

Started my master's studies at Nanjing University, advised by Prof. Chaoyou Fu.

2026-08

Our MAC benchmark and PyMAL library appear at KDD 2026.

2026-06

Graduated from Jilin University; received the Academician Wang Xianghao Scholarship and Outstanding Graduate honor.

Selected Publications

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Can Large Language Models Identify Meaningful Touchpoints in Conversion Attribution?

Jinqi Wu, Sishuo Chen, Zhangming Chan, Yong Bai, Chao Yi, Han Zhu, Shuodian Yu, Lei Zhang, Sheng Chen, Chenghuan Hou, Jian Xu†, Chaoyou Fu

Proceedings of the 35th ACM International Conference on Information and Knowledge Management (CIKM 2026)

The SILVA benchmark evaluates semantic touchpoint selection; LOTUS uses LLM-attributed signals to improve industrial CVR prediction.

MAC: A Conversion Rate Prediction Benchmark Featuring Labels Under Multiple Attribution Mechanisms

Jinqi Wu, Sishuo Chen, Zhangming Chan, Yong Bai, Lei Zhang, Sheng Chen, Chenghuan Hou, Xiang-Rong Sheng, Han Zhu, Jian Xu, Bo Zheng, Chaoyou Fu†

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (KDD 2026)

A public multi-attribution CVR benchmark, the PyMAL toolkit, and Mixture of Asymmetric Experts (MoAE) for learning from multiple attribution mechanisms.

Education

Nanjing University

2026.09 - 2029.06 (expected)

M.S. in Computer Science and Technology

Advisor: Prof. Chaoyou Fu · Research focus: Multimodal Large Language Models

Jilin University

2022.09 - 2026.06

B.S. in Computer Science and Technology

GPA: 3.91/4.0 · Rank: 1/351

Internship Experience

Alibaba · Taobao & Tmall Group

2025.09 - 2026.05

Research Intern · Display Advertising, Ranking Team

  • Built MAC, the first public multi-attribution CVR benchmark, integrating First-Click, Last-Click, Linear, and DDA labels. Systematically validated multi-attribution learning across all four attribution objectives, with greater gains for users with complex conversion paths. Online A/B tests achieved GMV +2.7%, orders +1.2%, and ROI +2.6% over the production baseline.
  • Proposed LLM-based conversion path understanding to generate semantic attribution signals, identify implicitly related touchpoints missed by rule-based attribution, and incorporate them into auxiliary CVR training. Offline GAUC on the primary conversion task improved by 0.35% over the same-store touchpoint production baseline and by a further 0.15% over the heuristic CABA baseline.
  • Produced two first-author papers at KDD 2026 and CIKM 2026.
Conversion AttributionCVR PredictionLarge Language Models

Meituan · LongCat

2026.08 - 2027.01 (expected)

Research Intern · Foundation Model Team

  • Contributing to LongCat 2.5 and researching Vision Coding in the foundation model team, Basic R&D Platform, Core Local Commerce.
  • Independently developing Muse2Web: Benchmarking Coding Agents on Turning Visual Inspiration into Working Websites (ongoing), a benchmark evaluating coding agents' ability to turn visual inspiration into working websites.
Multimodal ModelsVision Coding

Honors & Awards

Academician Wang Xianghao Scholarship

2026.06

Jilin University

Academic Honor

Outstanding Graduate

2026.06

Jilin University · Class of 2026

Academic Honor

CCF Outstanding College Student Program

2025.10

China Computer Federation · CCF优秀大学生启航计划

Academic Honor

National Scholarship · Two Consecutive Awards

2023 & 2024

Ministry of Education of China

Scholarship

National Encouragement Scholarship

2025.12

Academic year 2024-2025

Scholarship

Jie Fang Ling Hang Scholarship

2024.11

Jilin University

Scholarship

CCPC National Invitational Contest · Gold Medal

2025.06

Fuzhou

Competitive Programming

ICPC National Invitational Contest · Gold Medal

2025.05

Nanchang

Competitive Programming

ICPC Asia Regional Contest · Silver Medal

2024.11

Nanjing

Competitive Programming

CCF CCSP · Gold & Silver Medals

2024 & 2025

Collegiate Computer Systems & Programming Contest

Gold Medal in 2024; Silver Medal in 2025.

Competitive Programming

GPLT National Finals · Individual First Prize

2025.05

China Collegiate Computing Contest

Also received a Jilin Provincial Team First Prize.

Competitive Programming

Lanqiao Cup National Finals · First Prize

2024.06

C/C++ Programming · University Group A

Competitive Programming

China Computer Games Championship · First Prize

2024.08

Connect6 · 2024 China Collegiate Computer Games Competition

Computer Games

CCF CSP Certification · 450 / 500

2024 & 2025

Certified Software Professional

Scored 450/500 in March 2024 and 430/500 in March 2025. The latter result ranked in the top 0.11% of its certification round.

Programming Certification