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2020 – today
- 2025
[c13]Kyriakos G. Vamvoudakis, Filippos Fotiadis, Tamer Basar, Vijay Gupta, Jorge Poveda, Michael Tang, Miroslav Krstic, Quanyan Zhu:
Deception in Game Theory and Control: A Tutorial. ACC 2025: 2146-2163- [c12]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. ICLR 2025 - [c11]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. ICLR 2025 - [c10]Michael Tang, Miroslav Krstic, Jorge Poveda:
Stochastic Real-Time Deception in Nash Equilibrium Seeking for Games with Quadratic Payoffs. L4DC 2025: 635-646 - [i11]Michael Tang, Miroslav Krstic, Jorge Poveda:
Stochastic Real-Time Deception in Nash Equilibrium Seeking for Games with Quadratic Payoffs. CoRR abs/2502.12337 (2025) - [i10]Michael Tang, Miroslav Krstic, Jorge Poveda:
Deception in Oligopoly Games via Adaptive Nash Seeking Systems. CoRR abs/2505.24112 (2025) - 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) - [c9]Michael Tang, Shunyu Yao, John Yang, Karthik Narasimhan:
Referral Augmentation for Zero-Shot Information Retrieval. ACL (Findings) 2024: 13452-13461 - [c8]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 - [c7]Michael Tang, Miroslav Krstic, Jorge I. Poveda:
Filterless Fixed-Time Extremum Seeking for Scalar Quadratic Maps. CDC 2024: 5256-5261 - [i9]Quan Shi, Michael Tang, Karthik Narasimhan, Shunyu Yao:
Can Language Models Solve Olympiad Programming? CoRR abs/2404.10952 (2024) - [i8]Michael Tang, Umar Javed, Xudong Chen, Miroslav Krstic, Jorge I. Poveda:
Deception in Nash Equilibrium Seeking. CoRR abs/2407.05168 (2024) - [i7]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) - [i6]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) - [i5]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) - [i4]Michael Tang, Miroslav Krstic, Jorge Poveda:
Fixed-Time Input-to-State Stability for Singularly Perturbed Systems via Composite Lyapunov Functions. CoRR abs/2412.16797 (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, Chris Kanich, Blase Ur, Elena Zheleva:
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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