| 2026 | KSEM | KG-STMI: A Knowledge-Driven MultiModal Framework with Triple-Stage Knowledge Injection for Air Quality Forecasting in Environmental Sensing Networks. | Jiachen Yuan, Ning Xin, Wenzheng Huang, Qiujin Wang, Lingxiao Zhao, Md Maruf Hasan |
| 2025 | ACL | T-REG: Preference Optimization with Token-Level Reward Regularization. | Wenxuan Zhou, Shujian Zhang, Lingxiao Zhao, Tao Meng |
| 2025 | KDD | Self-Tuning Self-Supervised Image Anomaly Detection. | Jaemin Yoo, Lingxiao Zhao, Leman Akoglu |
| 2024 | EMNLP | Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets. | Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu |
| 2024 | ICML | On the Expressive Power of Spectral Invariant Graph Neural Networks. | Bohang Zhang, Lingxiao Zhao, Haggai Maron |
| 2024 | PRIMA | Equilibria of Carbon Allowance Auctions: Emissions and Productivity. | Lingxiao Zhao, Maria Polukarov, Carmine Ventre |
| 2024 | WWW | Descriptive Kernel Convolution Network with Improved Random Walk Kernel. | Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu |
| 2023 | ICLR | Sign and Basis Invariant Networks for Spectral Graph Representation Learning. | Derek Lim, Joshua David Robinson, Lingxiao Zhao, Tess E. Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka |
| 2023 | ISMAR | Realistic Volume Rendering with Environment-Synced Illumination in Mixed Reality. | Haojie Cheng, Chunxiao Xu, Xujing Chen, Zhenxin Chen, Jiajun Wang, Lingxiao Zhao |
| 2023 | VR | A Mixed Reality Framework for Interactive Realistic Volume Rendering with Dynamic Environment Illumination. | Haojie Cheng, Chunxiao Xu, Zhenxin Chen, Jiajun Wang, Yibo Chen, Lingxiao Zhao |
| 2022 | ICLR | Graph Condensation for Graph Neural Networks. | Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah |
| 2022 | ICLR | From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness. | Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah |
| 2021 | ICDM | Fast Attributed Graph Embedding via Density of States. | Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu |
| 2020 | ICLR | PairNorm: Tackling Oversmoothing in GNNs. | Lingxiao Zhao, Leman Akoglu |
| 2018 | CIKM | A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification. | Xuan Wu, Lingxiao Zhao, Leman Akoglu |