Practical Design Tools for Large Packet-Switched Networks. - Ronald Kronz; Sybil Lee; Michael Sun (INFOCOM, 1983)

Security Analysis of Near-Field Communication (NFC) Payments. - Dennis Giese; Kevin Liu; Michael Sun; Tahin Syed; Linda Zhang 003 (CoRR, 2019)

Investigating Effect of Dialogue History in Multilingual Task Oriented Dialogue Systems. - Michael Sun; Kaili Huang; Mehrad Moradshahi (CoRR, 2021)

Alpha-Mini: Minichess Agent with Deep Reinforcement Learning. - Michael Sun; Robert Tan (CoRR, 2021)

X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents. - Mehrad Moradshahi; Tianhao Shen; Kalika Bali; Monojit Choudhury; Gaël de Chalendar; Anmol Goel; Sungkyun Kim; Prashant Kodali; Ponnurangam Kumaraguru; Nasredine Semmar; Sina J. Semnani; Jiwon Seo 002; et al. (ACL (Findings), 2023)

Passenger Perceptions, Information Preferences, and Usability of Crowding Visualizations on Public Displays in Transit Stations and Vehicles. - Leah Zhang-Kennedy; Saira Aziz; Oluwafunminitemi (Temi) Oluwadare; Lyndon Pan; Zeyu Wu; Sydney E. C. Lamorea; Soda Li; Michael Sun; Ville Mäkelä (CHI, 2023)

Almost-Nash Sequential Bargaining. - Gokul Dharan; Hunter Guru; Michael Sun (CoRR, 2023)

Do Neural Networks Generalize from Self-Averaging Sub-classifiers in the Same Way As Adaptive Boosting? - Michael Sun; Peter Chatain (CoRR, 2023)

Improving Representational Continuity via Continued Pretraining. - Michael Sun; Ananya Kumar; Divyam Madaan; Percy Liang (CoRR, 2023)

Privacy preserving cold-start recommendation for out-of-matrix users via content baskets. - Michael Sun; Andrew Wang (Int. J. Data Sci. Anal., 2023)

PP-GNN: Pretraining Position-aware Graph Neural Networks with the NP-hard metric dimension problem. - Michael Sun (Neurocomputing, 2023)

Representing Molecules as Random Walks Over Interpretable Grammars. - Michael Sun; Minghao Guo; Weize Yuan; Veronika Thost; Crystal Elaine Owens; Aristotle Franklin Grosz; Sharvaa Selvan; Katelyn Zhou; Hassan Mohiuddin; Benjamin J. Pedretti; Zachary P. Smith; Jie Chen 007; et al. (ICML, 2024)

Syntax-Guided Procedural Synthesis of Molecules. - Michael Sun; Alston Lo; Wenhao Gao 001; Minghao Guo; Veronika Thost; Jie Chen 007; Connor W. Coley; Wojciech Matusik (CoRR, 2024)

Two-Stage Pretraining for Molecular Property Prediction in the Wild. - Kevin Tirta Wijaya; Minghao Guo; Michael Sun; Hans-Peter Seidel; Wojciech Matusik; Vahid Babaei (CoRR, 2024)

Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning. - Gang Liu; Michael Sun; Wojciech Matusik; Meng Jiang; Jie Chen 007 (ICLR, 2025)

Procedural Synthesis of Synthesizable Molecules. - Michael Sun; Alston Lo; Minghao Guo; Jie Chen 007; Connor W. Coley; Wojciech Matusik (ICLR, 2025)

Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages. - Michael Sun; Weize Yuan; Gang Liu; Wojciech Matusik; Jie Chen 007 (CoRR, 2025)

Directed Graph Grammars for Sequence-based Learning. - Michael Sun; Orion Foo; Gang Liu; Wojciech Matusik; Jie Chen 007 (CoRR, 2025)

Privacy Preserving Inference of Personalized Content for Out of Matrix Users. - Michael Sun; Tai Vu; Andrew Wang (CoRR, 2025)