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2020 – today
- 2024
[c26]Kevin Li, Max Balakirsky, Simon Mak:
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression. AISTATS 2024: 3484-3492- [c25]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau:
Interactive Visual Learning for Stable Diffusion. IJCAI 2024: 8721-8724 - [c24]Kevin Li, Kenan Hasanaliyev, Sally Zhu, George Altshuler, Alden Eberts, Eric Chen, Kate Wang, Emily Xia, Eli Browne, Ian Chen:
Team MLab at SemEval-2024 Task 8: Analyzing Encoder Embeddings for Detecting LLM-generated Text. SemEval@NAACL 2024: 1463-1467 - [i19]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Polo Chau:
Interactive Visual Learning for Stable Diffusion. CoRR abs/2404.16069 (2024) - [i18]Junfeng Chen, Kevin Li, Yifei Chen, Lili Wei, Yepang Liu:
Demystifying Device-specific Compatibility Issues in Android Apps. CoRR abs/2408.01810 (2024) - [i17]Kevin Li, Fulu Li:
Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks. CoRR abs/2409.09240 (2024) - [i16]Kevin Li, Fulu Li:
TalkMosaic: Interactive PhotoMosaic with Multi-modal LLM Q&A Interactions. CoRR abs/2409.13941 (2024) - [i15]Kevin Li, Fulu Li:
Analysis on Riemann Hypothesis with Cross Entropy Optimization and Reasoning. CoRR abs/2409.19790 (2024) - 2023
- [c23]Kevin Li, Rahul Duggal, Duen Horng Chau:
Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract). AAAI 2023: 16252-16253 - [c22]Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau:
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. BMVC 2023: 739-740 - [c21]Kevin Li
, Zhaohui Wang, Ye Wang, Bo Luo, Fengjun Li:
Poster: Ethics of Computer Security and Privacy Research - Trends and Standards from a Data Perspective. CCS 2023: 3558-3560 - [c20]Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau:
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM 2023: 2044-2054 - [c19]Elliot Catt, Jordi Grau-Moya, Marcus Hutter, Matthew Aitchison, Tim Genewein, Grégoire Delétang, Kevin Li, Joel Veness:
Self-Predictive Universal AI. NeurIPS 2023 - [c18]Tianyuan Teng, Kevin Li, Hang Zhang:
Bounded rationality in structured density estimation. NeurIPS 2023 - [c17]Kenan Hasanaliyev, Kevin Li, Saanvi Chawla, Michael Nath, Rohan Sanda, Justin Wu, William Huang, Daniel Yang, Shane Mion, Kiran Bhat:
Francis Bacon at SemEval-2023 Task 4: Ensembling BERT and GloVe for Value Identification in Arguments. SemEval@ACL 2023: 2039-2042 - [i14]Sheng-Yun Peng, Weilin Xu, Cory Cornelius, Kevin Li, Rahul Duggal, Duen Horng Chau, Jason Martin:
RobArch: Designing Robust Architectures against Adversarial Attacks. CoRR abs/2301.03110 (2023) - [i13]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau:
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. CoRR abs/2305.03509 (2023) - [i12]Kevin Li, Simon Mak, Jean-François Paquet, Steffen A. Bass:
Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma. CoRR abs/2306.07299 (2023) - [i11]Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau:
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. CoRR abs/2308.16258 (2023) - [i10]Tyler Chen, Robert Chen, Kevin Li, Skai Nzeuton, Yilu Pan, Yixin Wang:
Faster randomized partial trace estimation. CoRR abs/2310.12364 (2023) - [i9]Kevin Li, Max Balakirsky, Simon Mak:
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression. CoRR abs/2310.14544 (2023) - 2022
- [j5]Sam Hughes, Kevin Li:
Higher topological complexity of hyperbolic groups. J. Appl. Comput. Topol. 6(3): 323-329 (2022) - [c16]Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau:
Visual Exploration of Literature with Argo Scholar. CIKM 2022: 4912-4916 - [c15]Kevin Li, Daniel Fernandez, David Klingler, Yuhan Gao, Jacob Rivera, Kia Teymourian:
A high-performance processing system for monitoring stock market data stream. DEBS 2022: 166-170 - [i8]Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Tim Genewein, Elliot Catt, Kevin Li, Anian Ruoss, Chris Cundy, Joel Veness, Jane X. Wang, Marcus Hutter, Christopher Summerfield, Shane Legg, Pedro A. Ortega:
Beyond Bayes-optimality: meta-learning what you know you don't know. CoRR abs/2209.15618 (2022) - [i7]Zhiyan Zhou, Kevin Li, Haekyu Park, Megan Dass, Austin P. Wright, Nilaksh Das, Duen Horng Chau:
NeuroMapper: In-browser Visualizer for Neural Network Training. CoRR abs/2210.12492 (2022) - [i6]Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau:
Evaluation of Argo Scholar with Observational Study. CoRR abs/2210.13510 (2022) - [i5]Jeffery Cheng, Kevin Li, Justin Lin, Pedro Pachuca:
Neighboring state-based RL Exploration. CoRR abs/2212.10712 (2022) - 2021
- [c14]Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr H. Pong, Aurick Zhou, Justin Yu, Sergey Levine:
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning. ICML 2021: 6346-6356 - [i4]Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr Pong, Aurick Zhou, Justin Yu, Sergey Levine:
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning. CoRR abs/2107.07184 (2021) - [i3]Kevin Li, Haoyang Yang, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau:
Argo Scholar: Interactive Visual Exploration of Literature in Browsers. CoRR abs/2110.14060 (2021) - 2020
- [c13]Yahav Avigal, Jensen Gao, William Wong, Kevin Li, Grady Pierroz, Fang Shuo Deng, Mark Theis, Mark Presten, Ken Goldberg:
Simulating Polyculture Farming to Tune Automation Policies for Plant Diversity and Precision Irrigation. CASE 2020: 238-245 - [i2]Isaac Godfried, Kriti Mahajan, Maggie Wang, Kevin Li, Pranjalya Tiwari:
FlowDB a large scale precipitation, river, and flash flood dataset. CoRR abs/2012.11154 (2020)
2010 – 2019
- 2019
- [c12]Kevin Li, Rachel Chen, William Lindsey, Aaron A. Best, Matthew DeJongh, Christopher S. Henry, Nathan L. Tintle:
Implementing and Evaluating A Gaussian Mixture Framework for Identifying Gene Function from TnSeq Data. PSB 2019: 172-183 - [c11]Minjae Lee, David Hyde, Kevin Li, Ronald Fedkiw:
A robust volume conserving method for character-water interaction. Symposium on Computer Animation 2019: 3:1-3:12 - [i1]Minjae Lee, David Hyde, Kevin Li, Ronald Fedkiw:
A Robust Volume Conserving Method for Character-Water Interaction. CoRR abs/1902.00801 (2019) - 2018
- [j4]Ho-Chun Herbert Chang, Kevin Li:
The Amnesiac Lookback Option: Selectively Monitored Lookback Options and Cryptocurrencies. Frontiers Appl. Math. Stat. 4: 10 (2018) - [j3]Desmond Upton Patton, Owen Rambow, Jonathan Auerbach, Kevin Li, William R. Frey:
Expressions of loss predict aggressive comments on Twitter among gang-involved youth in Chicago. npj Digit. Medicine 1 (2018) - 2017
- [c10]Timothy Bergquist, Ronald W. Buie, Kevin Li, Pascal S. Brandt:
Heart on FHIR: Integrating Patient Generated Data into Clinical Care to Reduce 30 Day Heart Failure Readmissions. AMIA 2017 - [c9]X. Jessie Yang, Vaibhav V. Unhelkar, Kevin Li, Julie A. Shah:
Evaluating Effects of User Experience and System Transparency on Trust in Automation. HRI 2017: 408-416 - [c8]Jaeyoung Choi, Martha A. Larson, Xinchao Li, Kevin Li, Gerald Friedland, Alan Hanjalic:
The Geo-Privacy Bonus of Popular Photo Enhancements. ICMR 2017: 84-92 - 2015
- [j2]Peter Connor, Kevin Li, Matthias Weber:
Complete Embedded Harmonic Surfaces in R3. Exp. Math. 24(2): 196-224 (2015) - 2014
- [c7]Xicheng Jiang, Xinyu Yu, Fang Lin, Felix Cheung, Mike Inerfield, Kevin Li, Abhishek Kamath, Harsh Mehta, Jingbo Duan, Jing Yang, Gautham Krishnamurthy, Sumant Ranganathan, Darwin Cheung, Naga Radha Krishna Damaraju, Jianlong Chen, Dongtian Lu, Vinod Jayakumar, Leon Wang, Dario Soltesz, Hongwei Kong, Min Zhang, David Chang:
A 28 nm analog and audio mixed-signal front end for 4G/LTE Cellular System-on-Chip. ESSCIRC 2014: 471-474 - 2010
- [j1]Kevin Li, John J. Liu, Jia Yan:
Valuation of information-sharing in marine mutual insurance. Risk Decis. Anal. 2(2): 65-74 (2010)
2000 – 2009
- 2008
- [c6]Kevin Li, Dwight Deugo:
Eclipse Project and Resource Tracking Plug-in. SNPD 2008: 820-827 - 2003
- [c5]Ka-Ping Yee, Kirsten Swearingen, Kevin Li, Marti A. Hearst:
Faceted metadata for image search and browsing. CHI 2003: 401-408 - 2002
- [c4]Xinli Gu, Weili Wang, Kevin Li, Heon C. Kim, Sung Soo Chung:
Re-Using DFT Logic for Functional and Silicon Debugging Test. ITC 2002: 648-656
1990 – 1999
- 1995
- [b1]Kevin Li:
Finite difference-time domain analysis of electromagnetic interference and radiation problems. Massachusetts Institute of Technology, Cambridge, MA, USA, 1995 - [c3]Kevin Li:
Randomized Parallel Approximation Algorithms for the Traveling Salesman Problem. Parallel and Distributed Computing and Systems 1995: 170-173 - [c2]Kevin Li:
Performance Evaluation and Quality Optimization in Parallel Processing Systems with Mixed Applications. Parallel and Distributed Computing and Systems 1995: 363-366 - [c1]Kevin Li:
Decentralized Probabilistic Job Dispatching in Heterogeneous Multiple Computer Systems. Parallel and Distributed Computing and Systems 1995: 385-392
Coauthor Index
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last updated on 2024-10-21 20:28 CEST by the dblp team
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