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Michael Tang
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2020 – today
- 2024
- [j3]Duran Bao, Qingbo Shu, Bo Ning, Michael Tang, Yubing Liu, Noel Wong, Zhengming Ding, Zizhan Zheng, Christopher J. Lyon, Tony Hu, Jia Fan
:
Improving Targeted Mass Spectrometry Data Analysis with Nested Active Machine Learning. Adv. Intell. Syst. 6(8) (2024) - [j2]Duran Bao, Qingbo Shu, Bo Ning, Michael Tang, Yubing Liu, Noel Wong, Zhengming Ding, Zizhan Zheng, Christopher J. Lyon, Tony Hu, Jia Fan
Improving Targeted Mass Spectrometry Data Analysis with Nested Active Machine Learning. Adv. Intell. Syst. 6(8) (2024) - [c8]Michael Tang, Shunyu Yao, John Yang, Karthik Narasimhan:
Referral Augmentation for Zero-Shot Information Retrieval. ACL (Findings) 2024: 13452-13461 - [c7]Michael Tang, Miroslav Krstic, Jorge I. Poveda:
On Fixed-Time Stability for a Class of Singularly Perturbed Systems Using Composite Lyapunov Functions. ACC 2024: 4783-4788 - [i8]Quan Shi, Michael Tang, Karthik Narasimhan, Shunyu Yao:
Can Language Models Solve Olympiad Programming? CoRR abs/2404.10952 (2024) - [i7]Michael Tang, Umar Javed, Xudong Chen, Miroslav Krstic, Jorge I. Poveda:
Deception in Nash Equilibrium Seeking. CoRR abs/2407.05168 (2024) - [i6]Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik, Danqi Chen, Tao Yu:
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval. CoRR abs/2407.12883 (2024) - [i5]Grace Liu, Michael Tang, Benjamin Eysenbach:
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals. CoRR abs/2408.05804 (2024) - [i4]Michael Tang, Miroslav Krstic, Jorge Poveda:
On Fixed-Time Stability for a Class of Singularly Perturbed Systems using Composite Lyapunov Functions. CoRR abs/2408.16905 (2024) - 2023
- [i3]Michael Tang, Alex Zhang:
Transaction Fee Mining and Mechanism Design. CoRR abs/2302.06769 (2023) - [i2]Michael Tang, Shunyu Yao, John Yang, Karthik Narasimhan:
Referral Augmentation for Zero-Shot Information Retrieval. CoRR abs/2305.15098 (2023) - [i1]Michael Tang, David Shustin:
Renderers are Good Zero-Shot Representation Learners: Exploring Diffusion Latents for Metric Learning. CoRR abs/2306.10721 (2023) - 2022
- [c6]Nikhil Swamy, Tahina Ramananandro, Aseem Rastogi, Irina Spiridonova, Haobin Ni, Dmitry Malloy, Juan Vazquez, Michael Tang, Omar Cardona, Arti Gupta:
Hardening attack surfaces with formally proven binary format parsers. PLDI 2022: 31-45
2010 – 2019
- 2019
- [c5]Mainack Mondal, Günce Su Yilmaz, Noah Hirsch, Mohammad Taha Khan, Michael Tang, Christopher Tran
Moving Beyond Set-It-And-Forget-It Privacy Settings on Social Media. CCS 2019: 991-1008 - [c4]Mahdi S. Hosseini, Lyndon Chan, Gabriel Tse, Michael Tang, Jun Deng, Sajad Norouzi, Corwyn Rowsell, Konstantinos N. Plataniotis, Savvas Damaskinos:
Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning. CVPR 2019: 11747-11756
2000 – 2009
- 2004
- [j1]Hin Hark Gan, Daniela Fera, Julie Zorn, Nahum Shiffeldrim, Michael Tang, Uri Laserson, Namhee Kim, Tamar Schlick
RAG: RNA-As-Graphs database-concepts, analysis, features. Bioinform. 20(8): 1285-1291 (2004) - 2003
- [c3]Sarah Chan, Ben Kao, Chi Lap Yip, Michael Tang:
Mining Emerging Substrings. DASFAA 2003: 119-126 - 2000
- [c2]Michael Tang, Chi Lap Yip, Ben Kao:
Selection of Melody Lines for Music Databases. COMPSAC 2000: 243-248
1990 – 1999
- 1993
- [c1]Tom Canfield, Mark T. Jones, Paul E. Plassmann, Michael Tang:
Modeling Piezoelectric Crystals on the Intel Delta. PPSC 1993: 156-159
Coauthor Index
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