| 2026 | KDD | Optimizing Generative Ranking Relevance via Reinforcement Learning in Xiaohongshu Search. | Ziyang Zeng, Heming Jing, Jindong Chen, Xiangli Li, Hongyu Liu, Yixuan He, Zhengyu Li, Yige Sun, Zheyong Xie, Yuqing Yang, Shaosheng Cao, Jun Fan, Yi Wu, Yao Hu |
| 2026 | PacificVis | NotebookRAG: Retrieving Multiple Notebooks to Augment the Generation of EDA Notebooks for Crowd-Wisdom. | Yi Shan, Yixuan He, Zekai Shao, Kai Xu, Siming Chen |
| 2025 | CHI | Unlocking Scientific Concepts: How Effective Are LLM-Generated Analogies for Student Understanding and Classroom Practice? | Zekai Shao, Siyu Yuan, Lin Gao, Yixuan He, Deqing Yang, Siming Chen |
| 2025 | SC | PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training. | Seth Ockerman, Amal Gueroudji, Tanwi Mallick, Yixuan He, Line Pouchard, Robert B. Ross, Shivaram Venkataraman |
| 2024 | CVPR | LLMs are Good Sign Language Translators. | Jia Gong, Lin Geng Foo, Yixuan He, Hossein Rahmani, Jun Liu |
| 2024 | GLOBECOM | IRS-Assisted Lossy Communications Under Correlated Rayleigh Fading: Outage Probability Analysis and Optimization. | Guanchang Li, Wensheng Lin, Lixin Li, Yixuan He, Fucheng Yang, Zhu Han |
| 2024 | ICLR | Robust Angular Synchronization via Directed Graph Neural Networks. | Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu |
| 2024 | ICML | Generalization Error of Graph Neural Networks in the Mean-field Regime. | Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen |
| 2024 | RECOMB | Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. | Holly R. Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia Ivanova, Matthew J. Hirn, Michael Perlmutter, Smita Krishnaswamy |
| 2023 | ICLR | DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. | Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan |
| 2023 | KDD | Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations. | Haoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan |
| 2022 | ICML | GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. | Yixuan He, Quan Gan, David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu |
| 2022 | WSDM | GNNs for Node Clustering in Signed and Directed Networks. | Yixuan He |
| 2022 | SDM | SSSNET: Semi-Supervised Signed Network Clustering. | Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu |
| 2021 | CIKM | PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. | Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Bres, Guzmn Lpez, Nicolas Collignon, Rik Sarkar |
| 2019 | CVPR | Scan-Flood Fill(SCAFF): An Efficient Automatic Precise Region Filling Algorithm for Complicated Regions. | Yixuan He, Tianyi Hu, Delu Zeng |