| 2026 | ACL | Make Mechanistic Interpretability Auditable: A Call to Develop Guidelines via Continuous Collaborative Reviewing. | Michael Lan, Narmeen Fatimah Oozeer, Chaithanya Bandi, Philip Quirke, Austin Meek, Fazl Barez, Amir Abdullah |
| 2025 | ICML | Activation Space Interventions Can Be Transferred Between Large Language Models. | Narmeen Oozeer, Dhruv Nathawani, Nirmalendu Prakash, Michael Lan, Abir Harrasse, Amir Abdullah |
| 2024 | EMNLP | Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models. | Michael Lan, Philip Torr, Fazl Barez |
| 2024 | WISE | Scalable Optimization of Graph Pattern Queries Using Summary Graphs. | Xiaoying Wu, Michael Lan, Md Rakibul Hasan, Dimitri Theodoratos |
| 2023 | EDBT | Evaluating Hybrid Graph Pattern Queries Using Runtime Index Graphs. | Xiaoying Wu, Dimitri Theodoratos, Nikos Mamoulis, Michael Lan |
| 2022 | DASFAA | Efficient In-Memory Evaluation of Reachability Graph Pattern Queries on Data Graphs. | Xiaoying Wu, Dimitri Theodoratos, Dimitrios Skoutas, Michael Lan |
| 2022 | DOLAP | Answering Graph Pattern Queries using Compact Materialized Views. | Michael Lan, Xiaoying Wu, Dimitri Theodoratos |
| 2020 | ADBIS | Exploring Citation Networks with Hybrid Tree Pattern Queries. | Xiaoying Wu, Dimitri Theodoratos, Dimitrios Skoutas, Michael Lan |
| 2020 | WISE | Leveraging Double Simulation to Efficiently Evaluate Hybrid Patterns on Data Graphs. | Xiaoying Wu, Dimitri Theodoratos, Dimitrios Skoutas, Michael Lan |
| 2019 | DASFAA | Evaluating Mixed Patterns on Large Data Graphs Using Bitmap Views. | Xiaoying Wu, Dimitri Theodoratos, Dimitrios Skoutas, Michael Lan |
| 2019 | DaWaK | Efficiently Computing Homomorphic Matches of Hybrid Pattern Queries on Large Graphs. | Xiaoying Wu, Dimitri Theodoratos, Dimitrios Skoutas, Michael Lan |