Jiajun Yu

Jiajun Yu

Ph.D. Student ยท AI for Science

Publications

You can also find my articles on my Google Scholar profile.

* and + denote co-first author and corresponding author, respectively.

Representative First-Author Work

  1. Jiajun Yu, Zhihao Wu, Yizhen Zheng, Shirui Pan, Jiajun Bu, Haishuai Wang+ . Is Sequence Generation Optimal for Molecular Editing? A Graph-based MoE Alternative. KDD 2026 (Oral, CORE A*).
  2. Jiajun Yu, Linghan Zheng, Hui Liu+, Xiaojun Lin, Jiayuan Dong, Yue Sheng, Gang Shi, Zhiwei Liu, Hongwei Chen, Haishuai Wang+ . Code-Based English Models Surprising Performance on Chinese QA Pair Extraction Task. SIGIR 2026 (CORE A*).
  3. Jiajun Yu, Weifan Mao, Kaipeng Zeng, Kejia Bian, Zhuo Wang, Kun Li, Haishuai Wang . PRISM: Entropy-Guided Multi-View Exploration for Scientific Idea Generation. EMNLP 2026 (Main Conference, CORE A*).
  4. Jiajun Yu, Kun Li, Zhihao Wu, Weifan Mao, Yizhen Zheng, Haishuai Wang . SkillMol: Skill-Conditioned Action Editing for Molecular Optimization. EMNLP 2026 (Findings, CORE A*).
  5. Jiajun Yu, Zhihao Wu, Jielong Lu, Tianyue Wang, Haishuai Wang+ . A Centrality-based Graph Learning Framework. IJCAI 2025 (CORE A*).
  6. Jiajun Yu, Zhihao Wu, Jinyu Cai, Adele Lu Jia+, Jicong Fan+ . Kernel Readout for Graph Neural Networks. IJCAI 2024 (CORE A*).

Other First-Author Work

  1. Jiajun Yu, Yizhen Zheng, Huan Yee Koh*, Shirui Pan, Haishuai Wang+ . Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization. arXiv preprint (2025).
  2. Jiajun Yu, Adele Lu Jia+ . AGCL: Adaptive Graph Contrastive Learning for Graph Representation Learning. Neurocomputing (Q1, 2024).
  3. Jiajun Yu, Adele Lu Jia+ . MLGAL: Multi-level Label Graph Adaptive Learning for Node Clustering in the Attributed Graph. Knowledge-Based Systems (Q1, 2023).
  4. Jiajun Yu, Adele Lu Jia+ . User Donations in Online Social Game Streaming: The Case of Paid Subscription in Twitch.tv. The Web Conference (CORE A*, 2022).
  5. Jiajun Yu, Adele Lu Jia+ . Relation-aware Multiplex Heterogeneous Graph Neural Network. Knowledge-Based Systems (Q1, 2025).
  6. Jiajun Yu, Zhihao Wu, Jielong Lu, Qianqian Shen, Lele Fu, Haishuai Wang+ . Retrieval-Augmented Graph Neural Networks for Hard Graph Classification. Under review (2026).

Collaborative Publications

  1. Tianyun Zhang, Jiajun Yu, Shang Lou*, et al. . Systematic Discovery of Single-Cell Protein Networks in Cancer with Shusi. Under review (2025).
  2. Muyang Cao, Jiajun Yu, Xin Du, Gang Pan, Wei Wang . MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product. ICML 2025 (CORE A*).
  3. Zhihao Wu, Jielong Lu, Jiajun Yu, et al. . Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis. IJCAI 2025 (CORE A*).
  4. Jielong Lu, Zhihao Wu, Jiajun Yu, et al. . Where Views Meet Curves: Virtual Anchors for Hyperbolic Multi-View Graph Diffusion. ACM MM 2025 (CORE A*).
  5. Jielong Lu, Zhihao Wu, Jiajun Yu, et al. . Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors. IJCAI 2025 (CORE A*).
  6. Yaozhen Liang, Xiao Liu, Jiajun Yu, et al. . EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary. ACL 2025 (CORE A*).
  7. Yunhao Zhang, Jiajun Yu, et al. . Navigating Brain Language Representations: A Comparative Analysis of Neural Language Models and Psychologically Plausible Models. CogSci (2024).
  8. Yunhao Zhang, Jiajun Yu, et al. . Multi-task Support Vector Machine with Pinball Loss. Engineering Applications of Artificial Intelligence (Q1, 2021).