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ORCIDYuxin Chen 0001
Person information
- affiliation: University of Chicago, Department of Computer Science, IL, USA
- affiliation: California Institute of Technology, Department of Computing & Mathematical Sciences, Pasadena, CA, USA
- affiliation (PhD 2017): ETZ Zurich, Switzerland
Other persons with the same name
- Yuxin Chen (aka: Yu-Xin Chen, Yu-xin Chen) — disambiguation page
- Yuxin Chen 0002
![[0000-0001-9256-5815]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9256-5815")
— University of Pennsylvania, Wharton School, Philadelphia, PA, USA (and 2 more) - Yuxin Chen 0003 (aka: Yuxin (Jerry) Chen) — Virginia Tech, Digital Library Research Lab, Blacksburg, VA, USA
- Yuxin Chen 0004 — New York University, Leonard N. Stern School of Business, NY, USA (and 1 more)
- Yuxin Chen 0005 — ENSTA ParisTech, Palaiseau, France
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2020 – today
- 2024
[i46]Zhuokai Zhao, Yibo Jiang, Yuxin Chen:
Direct Acquisition Optimization for Low-Budget Active Learning. CoRR abs/2402.06045 (2024)- 2023
- [j2]Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
Online learning of energy consumption for navigation of electric vehicles. Artif. Intell. 317: 103879 (2023) - [c47]Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan:
Learning Human-Compatible Representations for Case-Based Decision Support. ICLR 2023 - [c46]Renyu Zhang, Aly A. Khan, Robert L. Grossman, Yuxin Chen:
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing. ICLR 2023 - [c45]Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen:
Active Policy Improvement from Multiple Black-box Oracles. ICML 2023: 22320-22337 - [c44]Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen:
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation. ICML 2023: 41579-41595 - [c43]Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani:
Efficient Online Decision Tree Learning with Active Feature Acquisition. IJCAI 2023: 4163-4171 - [c42]Zhuolin Yang, Yuxin Chen, Zain Sarwar, Hadleigh Schwartz, Ben Y. Zhao, Haitao Zheng:
Towards a General Video-based Keystroke Inference Attack. USENIX Security Symposium 2023: 141-158 - [i45]Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan:
Learning Human-Compatible Representations for Case-Based Decision Support. CoRR abs/2303.04809 (2023) - [i44]Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani:
Efficient Online Decision Tree Learning with Active Feature Acquisition. CoRR abs/2305.02093 (2023) - [i43]Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen:
Active Policy Improvement from Multiple Black-box Oracles. CoRR abs/2306.10259 (2023) - [i42]Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas A. Desautels, Yuxin Chen:
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation. CoRR abs/2307.13371 (2023) - [i41]Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen:
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints. CoRR abs/2309.16240 (2023) - [i40]Xuefeng Liu, Takuma Yoneda, Rick L. Stevens, Matthew R. Walter, Yuxin Chen:
Blending Imitation and Reinforcement Learning for Robust Policy Improvement. CoRR abs/2310.01737 (2023) - [i39]Fengxue Zhang, Zejie Zhu, Yuxin Chen:
Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints. CoRR abs/2310.08751 (2023) - [i38]Renyu Zhang, Aly A. Khan, Yuxin Chen, Robert L. Grossman:
Enhancing Instance-Level Image Classification with Set-Level Labels. CoRR abs/2311.05659 (2023) - 2022
- [c41]Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Class-wise Thresholding for Robust Out-of-Distribution Detection. CVPR Workshops 2022: 2836-2845 - [c40]Yuxin Chen:
Optimizing Decision Making via Submodular Surrogates. ISAIM 2022 - [c39]Yuxin Chen, Morteza Haghir Chehreghani:
Trip Prediction by Leveraging Trip Histories from Neighboring Users. ITSC 2022: 967-973 - [c38]Jamar L. Sullivan Jr., William Brackenbury, Andrew McNut, Kevin Bryson, Kwam Byll, Yuxin Chen, Michael L. Littman, Chenhao Tan, Blase Ur:
Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data. NAACL-HLT 2022: 521-531 - [i37]Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan, Sameer Singh:
Rethinking Explainability as a Dialogue: A Practitioner's Perspective. CoRR abs/2202.01875 (2022) - [i36]Fengxue Zhang, Brian Nord, Yuxin Chen:
Learning Representation for Bayesian Optimization with Collision-free Regularization. CoRR abs/2203.08656 (2022) - [i35]Xuefeng Liu, Fangfang Xia, Rick L. Stevens, Yuxin Chen:
Cost-Effective Online Contextual Model Selection. CoRR abs/2207.06030 (2022) - 2021
- [c37]Zhe Xu, Yuxin Chen, Ufuk Topcu:
Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners. AAAI 2021: 5061-5068 - [c36]Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen:
The Teaching Dimension of Kernel Perceptron. AISTATS 2021: 2071-2079 - [c35]Yuxin Chen, Zhuolin Yang, Ruben Abbou, Pedro Lopes, Ben Y. Zhao, Haitao Zheng:
User Authentication via Electrical Muscle Stimulation. CHI 2021: 6:1-6:15 - [c34]Yuxin Chen, Zhuolin Yang, Ruben Abbou, Pedro Lopes, Ben Y. Zhao, Haitao Zheng:
Demonstrating User Authentication via Electrical Muscle Stimulation. CHI Extended Abstracts 2021: 191:1-191:5 - [c33]Ayya Alieva, Aiden Aceves, Jialin Song, Stephen Mayo, Yisong Yue, Yuxin Chen:
Learning to Make Decisions via Submodular Regularization. ICLR 2021 - [c32]Ziyu Ye, Yuxin Chen, Haitao Zheng:
Understanding the Effect of Bias in Deep Anomaly Detection. IJCAI 2021: 3314-3320 - [c31]Chaoqi Wang, Adish Singla, Yuxin Chen:
Teaching an Active Learner with Contrastive Examples. NeurIPS 2021: 17968-17980 - [c30]Akash Kumar, Yuxin Chen, Adish Singla:
Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm. NeurIPS 2021: 26897-26910 - [i34]Chinmaya Mahesh, Kristin Dona, David W. Miller, Yuxin Chen:
Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities. CoRR abs/2104.06622 (2021) - [i33]Ziyu Ye, Yuxin Chen, Haitao Zheng:
Understanding the Effect of Bias in Deep Anomaly Detection. CoRR abs/2105.07346 (2021) - [i32]Chaoqi Wang, Adish Singla, Yuxin Chen:
Teaching an Active Learner with Contrastive Examples. CoRR abs/2110.14888 (2021) - [i31]Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Class-wise Thresholding for Detecting Out-of-Distribution Data. CoRR abs/2110.15292 (2021) - [i30]Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
Online Learning of Energy Consumption for Navigation of Electric Vehicles. CoRR abs/2111.02314 (2021) - [i29]Renyu Zhang, Aly A. Khan, Robert L. Grossman, Yuxin Chen:
BALanCe: Deep Bayesian Active Learning via Equivalence Class Annealing. CoRR abs/2112.13737 (2021) - 2020
- [c29]Yuxin Chen, Huiying Li, Shan-Yuan Teng, Steven Nagels, Zhijing Li, Pedro Lopes, Ben Y. Zhao, Haitao Zheng:
Wearable Microphone Jamming. CHI 2020: 1-12 - [c28]Yuxin Chen, Huiying Li, Shan-Yuan Teng, Steven Nagels, Zhijing Li, Pedro Lopes, Haitao Zheng, Ben Y. Zhao:
Demonstrating Wearable Microphone Jamming. CHI Extended Abstracts 2020: 1-4 - [c27]Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. IJCAI 2020: 2051-2057 - [c26]Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla:
Understanding the Power and Limitations of Teaching with Imperfect Knowledge. IJCAI 2020: 2647-2654 - [c25]Yanzi Zhu, Zhujun Xiao, Yuxin Chen, Zhijing Li, Max Liu, Ben Y. Zhao, Heather Zheng:
Et Tu Alexa? When Commodity WiFi Devices Turn into Adversarial Motion Sensors. NDSS 2020 - [i28]Zhe Xu, Yuxin Chen, Ufuk Topcu:
Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences. CoRR abs/2001.09956 (2020) - [i27]Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. CoRR abs/2003.01416 (2020) - [i26]Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla:
Understanding the Power and Limitations of Teaching with Imperfect Knowledge. CoRR abs/2003.09712 (2020) - [i25]Akash Kumar, Adish Singla, Yisong Yue, Yuxin Chen:
Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries. CoRR abs/2006.14677 (2020) - [i24]Baihong Jin, Yingshui Tan, Yuxin Chen, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults? CoRR abs/2007.03167 (2020) - [i23]Yingshui Tan, Baihong Jin, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI. CoRR abs/2007.06063 (2020) - [i22]Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Using Ensemble Classifiers to Detect Incipient Anomalies. CoRR abs/2008.08710 (2020) - [i21]Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla:
Preference-Based Batch and Sequential Teaching. CoRR abs/2010.10012 (2020) - [i20]Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen:
The Teaching Dimension of Kernel Perceptron. CoRR abs/2010.14043 (2020)
2010 – 2019
- 2019
- [c24]Jialin Song, Yuxin Chen, Yisong Yue:
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes. AISTATS 2019: 3158-3167 - [c23]Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue:
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design. AISTATS 2019: 3410-3419 - [c22]Mohamadreza Ahmadi, Bo Wu, Yuxin Chen, Yisong Yue, Ufuk Topcu:
Barrier Certificates for Assured Machine Teaching. ACC 2019: 3658-3663 - [c21]Yingshui Tan, Baihong Jin, Alexander J. Nettekoven, Yuxin Chen, Yisong Yue, Ufuk Topcu, Alberto L. Sangiovanni-Vincentelli:
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. ICMLA 2019: 1008-1015 - [c20]Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection. ICPHM 2019: 1-5 - [c19]Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla:
Teaching Multiple Concepts to a Forgetful Learner. NeurIPS 2019: 4050-4060 - [c18]Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin (Jerry) Zhu, Adish Singla:
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models. NeurIPS 2019: 9195-9205 - [c17]Nikhil Ghosh, Yuxin Chen, Yisong Yue:
Landmark Ordinal Embedding. NeurIPS 2019: 11502-11511 - [i19]Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection. CoRR abs/1902.06361 (2019) - [i18]Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue:
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design. CoRR abs/1904.08102 (2019) - [i17]Yuxin Chen, Huiying Li, Steven Nagels, Zhijing Li, Pedro Lopes, Ben Y. Zhao, Haitao Zheng:
Understanding the Effectiveness of Ultrasonic Microphone Jammer. CoRR abs/1904.08490 (2019) - [i16]Baihong Jin, Yingshui Tan, Alexander J. Nettekoven, Yuxin Chen, Ufuk Topcu, Yisong Yue, Alberto L. Sangiovanni-Vincentelli:
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. CoRR abs/1907.11778 (2019) - [i15]Baihong Jin, Yingshui Tan, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults. CoRR abs/1909.04202 (2019) - [i14]Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla:
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models. CoRR abs/1910.10944 (2019) - [i13]Nikhil Ghosh, Yuxin Chen, Yisong Yue:
Landmark Ordinal Embedding. CoRR abs/1910.12379 (2019) - 2018
- [c16]Yuxin Chen, Oisin Mac Aodha, Shihan Su, Pietro Perona, Yisong Yue:
Near-Optimal Machine Teaching via Explanatory Teaching Sets. AISTATS 2018: 1970-1978 - [c15]Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue:
Teaching Categories to Human Learners With Visual Explanations. CVPR 2018: 3820-3828 - [c14]Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue:
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. NeurIPS 2018: 1483-1493 - [i12]Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue:
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. CoRR abs/1802.05190 (2018) - [i11]Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue:
Teaching Categories to Human Learners with Visual Explanations. CoRR abs/1802.06924 (2018) - [i10]Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez-Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla:
Teaching Multiple Concepts to Forgetful Learners. CoRR abs/1805.08322 (2018) - [i9]Zhujun Xiao, Yanzi Zhu, Yuxin Chen, Ben Y. Zhao, Junchen Jiang, Haitao Zheng:
Seeding Deep Learning using Wireless Localization. CoRR abs/1809.10242 (2018) - [i8]Mohamadreza Ahmadi, Bo Wu, Yuxin Chen, Yisong Yue, Ufuk Topcu:
Barrier Certificates for Assured Machine Teaching. CoRR abs/1810.00093 (2018) - [i7]Yanzi Zhu, Zhujun Xiao, Yuxin Chen, Zhijing Li, Max Liu, Ben Y. Zhao, Haitao Zheng:
Adversarial WiFi Sensing. CoRR abs/1810.10109 (2018) - [i6]Jialin Song, Yuxin Chen, Yisong Yue:
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes. CoRR abs/1811.00755 (2018) - [i5]Jialin Song, Yury S. Tokpanov, Yuxin Chen, Dagny Fleischman, Kate T. Fountaine, Harry A. Atwater, Yisong Yue:
Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes. CoRR abs/1811.07707 (2018) - [i4]Yuxin Chen, Morteza Haghir Chehreghani:
Trip Prediction by Leveraging Trip Histories from Neighboring Users. CoRR abs/1812.10097 (2018) - 2017
- [b1]Yuxin Chen:
Near-optimal Adaptive Information Acquisition: Theory and Applications. ETH Zurich, Zürich, Switzerland, 2017 - [c13]Yuxin Chen, Seyed Hamed Hassani, Andreas Krause:
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests. AISTATS 2017: 223-231 - [c12]Marc Brockschmidt, Yuxin Chen, Pushmeet Kohli, Siddharth Krishna, Daniel Tarlow:
Learning Shape Analysis. SAS 2017: 66-87 - [c11]Yuxin Chen, Jean-Michel Renders, Morteza Haghir Chehreghani, Andreas Krause:
Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting. UAI 2017 - [i3]Yuxin Chen, Jean-Michel Renders, Morteza Haghir Chehreghani, Andreas Krause:
Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting. CoRR abs/1703.05452 (2017) - 2016
- [i2]Yuxin Chen, S. Hamed Hassani, Andreas Krause:
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests. CoRR abs/1605.07334 (2016) - 2015
- [c10]Yuxin Chen, Shervin Javdani, Amin Karbasi, J. Andrew Bagnell, Siddhartha S. Srinivasa, Andreas Krause:
Submodular Surrogates for Value of Information. AAAI 2015: 3511-3518 - [c9]Yuxin Chen, S. Hamed Hassani, Amin Karbasi, Andreas Krause:
Sequential Information Maximization: When is Greedy Near-optimal? COLT 2015: 338-363 - 2014
- [c8]Shervin Javdani, Yuxin Chen, Amin Karbasi, Andreas Krause, Drew Bagnell, Siddhartha S. Srinivasa:
Near Optimal Bayesian Active Learning for Decision Making. AISTATS 2014: 430-438 - [c7]Yuxin Chen, Hiroaki Shioi, Cesar Fuentes Montesinos, Lian Pin Koh, Serge A. Wich, Andreas Krause:
Active Detection via Adaptive Submodularity. ICML 2014: 55-63 - [i1]Shervin Javdani, Yuxin Chen, Amin Karbasi, Andreas Krause, J. Andrew Bagnell, Siddhartha S. Srinivasa:
Near Optimal Bayesian Active Learning for Decision Making. CoRR abs/1402.5886 (2014) - 2013
- [j1]Yuxin Chen, Hariprasad Sampathkumar, Bo Luo, Xue-wen Chen:
iLike: Bridging the Semantic Gap in Vertical Image Search by Integrating Text and Visual Features. IEEE Trans. Knowl. Data Eng. 25(10): 2257-2270 (2013) - [c6]Yuxin Chen, Andreas Krause:
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization. ICML (1) 2013: 160-168 - 2012
- [c5]Yuxin Chen, Bo Luo:
S2A: secure smart household appliances. CODASPY 2012: 217-228 - [c4]Yuanliang Meng, Junyan Li, Patrick Denton, Yuxin Chen, Bo Luo, Paul Selden, Xue-wen Chen:
IPKB: a digital library for invertebrate paleontology. JCDL 2012: 101-110 - 2011
- [c3]Yuxin Chen, Brian Potetz, Bo Luo, Xue-wen Chen, Yunfeng Lin:
Cephalometric Landmark Tracing Using Deformable Templates. HISB 2011: 112-119 - [c2]Fengjun Li, Yuxin Chen, Bo Luo, Dongwon Lee, Peng Liu:
Privacy Preserving Group Linkage. SSDBM 2011: 432-450 - 2010
- [c1]Yuxin Chen, Nenghai Yu, Bo Luo, Xue-wen Chen:
iLike: integrating visual and textual features for vertical search. ACM Multimedia 2010: 221-230
Coauthor Index
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