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Michael Sun
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2020 – today
- 2025
[c8]Gang Liu, Michael Sun, Wojciech Matusik, Meng Jiang, Jie Chen:
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning. ICLR 2025
[c7]Michael Sun, Alston Lo, Minghao Guo, Jie Chen, Connor W. Coley, Wojciech Matusik:
Procedural Synthesis of Synthesizable Molecules. ICLR 2025
[c6]Michael Sun, Orion Foo, Gang Liu, Wojciech Matusik, Jie Chen:
Directed Graph Grammars for Sequence-based Learning. ICML 2025
[c5]Michael Sun, Weize Yuan, Gang Liu, Wojciech Matusik, Jie Chen:
Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages. ICML 2025
[i19]Michael Sun, Weize Yuan, Gang Liu, Wojciech Matusik, Jie Chen:
Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages. CoRR abs/2505.22948 (2025)
[i18]Michael Sun, Orion Foo, Gang Liu, Wojciech Matusik, Jie Chen:
Directed Graph Grammars for Sequence-based Learning. CoRR abs/2505.22949 (2025)
[i17]Michael Sun, Tai Vu, Andrew Wang:
Privacy Preserving Inference of Personalized Content for Out of Matrix Users. CoRR abs/2508.14905 (2025)
[i16]Kevin Tirta Wijaya, Michael Sun, Minghao Guo, Hans-Peter Seidel, Wojciech Matusik, Vahid Babaei:
Post Hoc Regression Refinement via Pairwise Rankings. CoRR abs/2508.16495 (2025)
[i15]Zonghai Yao, Michael Sun, Won Seok Jang, Sunjae Kwon, Soie Kwon, Hong Yu:
DischargeSim: A Simulation Benchmark for Educational Doctor-Patient Communication at Discharge. CoRR abs/2509.07188 (2025)
[i14]Gang Liu, Jie Chen, Yihan Zhu, Michael Sun, Tengfei Luo, Nitesh V. Chawla, Meng Jiang:
Graph Diffusion Transformers are In-Context Molecular Designers. CoRR abs/2510.08744 (2025)
[i13]Lianhao Zhou, Hongyi Ling, Cong Fu, Yepeng Huang, Michael Sun, Wendi Yu, Xiaoxuan Wang, Xiner Li, Xingyu Su, Junkai Zhang, Xiusi Chen, Chenxing Liang, Xiaofeng Qian, Heng Ji, Wei Wang, Marinka Zitnik, Shuiwang Ji:
Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics. CoRR abs/2510.09901 (2025)
[i12]Anh Pham, Mihir Thalanki, Michael Sun, Aditya Chaloo, Ankita Gupta, Tian Xia, Aditya Mate, Ehimwenma Nosakhare, Soundararajan Srinivasan:
Preventing Catastrophic Forgetting: Behavior-Aware Sampling for Safer Language Model Fine-Tuning. CoRR abs/2510.21885 (2025)- 2024
[c4]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, Wojciech Matusik:
Representing Molecules as Random Walks Over Interpretable Grammars. ICML 2024
[i11]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, Wojciech Matusik:
Representing Molecules as Random Walks Over Interpretable Grammars. CoRR abs/2403.08147 (2024)
[i10]Michael Sun, Alston Lo, Wenhao Gao, Minghao Guo, Veronika Thost, Jie Chen, Connor W. Coley, Wojciech Matusik:
Syntax-Guided Procedural Synthesis of Molecules. CoRR abs/2409.05873 (2024)
[i9]Gang Liu, Michael Sun, Wojciech Matusik, Meng Jiang, Jie Chen:
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning. CoRR abs/2410.04223 (2024)
[i8]Kevin Tirta Wijaya, Minghao Guo, Michael Sun, Hans-Peter Seidel, Wojciech Matusik, Vahid Babaei:
Two-Stage Pretraining for Molecular Property Prediction in the Wild. CoRR abs/2411.03537 (2024)- 2023
[j2]Michael Sun
, Andrew Wang:
Privacy preserving cold-start recommendation for out-of-matrix users via content baskets. Int. J. Data Sci. Anal. 16(2): 237-253 (2023)
[j1]Michael Sun
:
PP-GNN: Pretraining Position-aware Graph Neural Networks with the NP-hard metric dimension problem. Neurocomputing 561: 126848 (2023)
[c3]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, Vivek Seshadri, Manish Shrivastava, Michael Sun, Aditya Yadavalli, Chaobin You, Deyi Xiong, Monica S. Lam:
X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents. ACL (Findings) 2023: 2773-2794
[c2]Leah Zhang-Kennedy
, Saira Aziz
, Oluwafunminitemi (Temi) Oluwadare
, Lyndon Pan
, Zeyu Wu
, Sydney E. C. Lamorea
, Soda Li
, Michael Sun
, Ville Mäkelä
:
Passenger Perceptions, Information Preferences, and Usability of Crowding Visualizations on Public Displays in Transit Stations and Vehicles. CHI 2023: 752:1-752:15
[i7]Gokul Dharan, Hunter Guru, Michael Sun:
Almost-Nash Sequential Bargaining. CoRR abs/2302.04949 (2023)
[i6]Michael Sun, Peter Chatain:
Do Neural Networks Generalize from Self-Averaging Sub-classifiers in the Same Way As Adaptive Boosting? CoRR abs/2302.06923 (2023)
[i5]Michael Sun, Ananya Kumar, Divyam Madaan, Percy Liang:
Improving Representational Continuity via Continued Pretraining. CoRR abs/2302.13289 (2023)
[i4]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, Vivek Seshadri, Manish Shrivastava, Michael Sun, Aditya Yadavalli, Chaobin You, Deyi Xiong, Monica S. Lam:
X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents. CoRR abs/2306.17674 (2023)- 2021
[i3]Michael Sun, Kaili Huang, Mehrad Moradshahi:
Investigating Effect of Dialogue History in Multilingual Task Oriented Dialogue Systems. CoRR abs/2112.12318 (2021)
[i2]Michael Sun, Robert Tan:
Alpha-Mini: Minichess Agent with Deep Reinforcement Learning. CoRR abs/2112.13666 (2021)
2010 – 2019
- 2019
[i1]Dennis Giese, Kevin Liu, Michael Sun, Tahin Syed, Linda Zhang:
Security Analysis of Near-Field Communication (NFC) Payments. CoRR abs/1904.10623 (2019)
1980 – 1989
- 1983
[c1]Ronald Kronz, Sybil Lee, Michael Sun:
Practical Design Tools for Large Packet-Switched Networks. INFOCOM 1983: 591-599
Coauthor Index

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last updated on 2025-12-08 10:15 CET by the dblp team
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