Yuxin Chen - RankMe

124 papers A* 30A 12B 2C 2Misc 1Journal 62Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Implicit Turn-Wise Policy Optimization for Proactive User-LLM Interaction. CoRR Haoyu Wang, Yuxin Chen, Liang Luo, Buyun Zhang, Ellie Dingqiao Wen, Pan Li
2026	J	`jnl`	Learning Half-Spaces from Perturbed Contrastive Examples. CoRR Aryan Alavi Razavi Ravari, Farnam Mansouri, Yuxin Chen, Valentio Iverson, Adish Singla, Sandra Zilles
2026	—	`conf`	Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations. KDD (1) Liang Luo, Yuxin Chen, Zhengyu Zhang, Mengyue Hang, Andrew Gu, Buyun Zhang, Boyang Liu, Chen Chen, Fan Yang, Feifan Gu, Huayu Li, Jade Nie, Jiayi Xu, Jiyan Yang, Jongsoo Park, Laming Chen, Longhao Jin, Qin Huang, Shali Jiang, Shiwen Shen, Shuaiwen Wang, Siyang Yuan, Tongyi Tang, Weilin Zhang, Xi Liu, Xiaohan Wei, Yuchen Hao, Xiaozhen Xia, Yasmine Badr, ZeLiang Chen, Chengze Fan, Dong Liang, Qianru Li, Sihan Zeng, Wenjun Wang, Yunlong He, Yinbin Ma, Maxim Naumov, Yantao Yao, Wenlin Chen, Ellie Dingqiao Wen
2025	J	`jnl`	Active Advantage-Aligned Online Reinforcement Learning with Offline Data. CoRR Xuefeng Liu, Hung T. C. Le, Siyu Chen, Rick Stevens, Zhuoran Yang, Matthew R. Walter, Yuxin Chen
2025	J	`jnl`	DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization. CoRR Xuefeng Liu, Songhao Jiang, Siyu Chen, Zhuoran Yang, Yuxin Chen, Ian T. Foster, Rick Stevens
2025	J	`jnl`	External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. CoRR Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Yinbin Ma, Shuaiwen Wang, Sihan Zeng, Tongyi Tang, Xiaohan Wei, Longhao Jin, Jamey Zhang, Marcus Chen, Jiayi Zhang, Angie Huang, Chi Zhang, Zhengli Zhao, Jared Yang, Qiang Jin, Xian Chen, Amit Anand Amlesahwaram, Lexi Song, Liang Luo, Yuchen Hao, Nan Xiao, Yavuz Yetim, Luoshang Pan, Gaoxiang Liu, Yuxi Hu, Yuzhen Huang, Jackie Xu, Rich Zhu, Xin Zhang, Yiqun Liu, Hang Yin, Yuxin Chen, Buyun Zhang, Xiaoyi Liu, Xingyuan Wang, Wenguang Mao, Zhijing Li, Qin Huang, Chonglin Sun, Shupin Mao, Benjamin Au, Jingzheng Qin, Peggy Yao, Jae-Woo Choi, Bin Gao, Ernest Wang, Lei Zhang, Wen-Yen Chen, Ted Lee, Jay Zha, Yi Meng, Alex Gong, Edison Gao, Alireza Vahdatpour, Yiping Han, Yantao Yao, Toshinari Kureha, Shuo Chang, Musharaf Sultan, John Bocharov, Sagar Chordia, Xiaorui Gan, Peng Sun, Rocky Liu, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li
2025	J	`jnl`	Formal Models of Active Learning from Contrastive Examples. CoRR Farnam Mansouri, Hans Ulrich Simon, Adish Singla, Yuxin Chen, Sandra Zilles
2025	A	`conf`	InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CIKM Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Hang Yin, Xin Zhang, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang
2025	J	`jnl`	Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations. CoRR Liang Luo, Yuxin Chen, Zhengyu Zhang, Mengyue Hang, Andrew Gu, Buyun Zhang, Boyang Liu, Chen Chen, Chengze Fan, Dong Liang, Fan Yang, Feifan Gu, Huayu Li, Jade Nie, Jiayi Xu, Jiyan Yang, Jongsoo Park, Laming Chen, Longhao Jin, Qianru Li, Qin Huang, Shali Jiang, Shiwen Shen, Shuaiwen Wang, Sihan Zeng, Siyang Yuan, Tongyi Tang, Weilin Zhang, Wenjun Wang, Xi Liu, Xiaohan Wei, Xiaozhen Xia, Yuchen Hao, Yunlong He, Yasmine Badr, ZeLiang Chen, Maxim Naumov, Yantao Yao, Wenlin Chen, Santanu Kolay, GP Musumeci, Ellie Dingqiao Wen
2025	A	`conf`	Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition. AISTATS Fengxue Zhang, Thomas Desautels, Yuxin Chen
2025	J	`jnl`	Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining. CoRR Anirudh Subramanyam, Yuxin Chen, Robert L. Grossman
2024	—	`conf`	AutoML for Large Capacity Modeling of Meta's Ranking Systems. WWW (Companion Volume) Hang Yin, Kuang-Hung Liu, Mengying Sun, Yuxin Chen, Buyun Zhang, Jiang Liu, Vivek Sehgal, Rudresh Rajnikant Panchal, Eugen Hotaj, Xi Liu, Daifeng Guo, Jamey Zhang, Zhou Wang, Shali Jiang, Huayu Li, Zhengxing Chen, Wen-Yen Chen, Jiyan Yang, Wei Wen
2024	A*	`conf`	Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints. ICLR Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen
2024	A*	`conf`	Blending Imitation and Reinforcement Learning for Robust Policy Improvement. ICLR Xuefeng Liu, Takuma Yoneda, Rick Stevens, Matthew R. Walter, Yuxin Chen
2024	A*	`conf`	Contextual Active Model Selection. NeurIPS Xuefeng Liu, Fangfang Xia, Rick Stevens, Yuxin Chen
2024	J	`jnl`	Direct Acquisition Optimization for Low-Budget Active Learning. CoRR Zhuokai Zhao, Yibo Jiang, Yuxin Chen
2024	—	`conf`	Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large Scale Recommendation. MLSys Liang Luo, Buyun Zhang, Michael Tsang, Yinbin Ma, Ching-Hsiang Chu, Yuxin Chen, Shen Li, Yuchen Hao, Yanli Zhao, Guna Lakshminarayanan, Ellie Wen, Jongsoo Park, Dheevatsa Mudigere, Maxim Naumov
2024	J	`jnl`	Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation. CoRR Liang Luo, Buyun Zhang, Michael Tsang, Yinbin Ma, Ching-Hsiang Chu, Yuxin Chen, Shen Li, Yuchen Hao, Yanli Zhao, Guna Lakshminarayanan, Ellie Dingqiao Wen, Jongsoo Park, Dheevatsa Mudigere, Maxim Naumov
2024	A	`conf`	Don't Be Pessimistic Too Early: Look K Steps Ahead! AISTATS Chaoqi Wang, Ziyu Ye, Kevin Murphy, Yuxin Chen
2024	A*	`conf`	Enhancing Instance-Level Image Classification with Set-Level Labels. ICLR Renyu Zhang, Aly A. Khan, Yuxin Chen, Robert L. Grossman
2024	J	`jnl`	InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CoRR Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang
2024	A	`conf`	Model-based Policy Optimization under Approximate Bayesian Inference. AISTATS Chaoqi Wang, Yuxin Chen, Kevin Murphy
2024	A	`conf`	No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes. UAI Minbiao Han, Fengxue Zhang, Yuxin Chen
2024	J	`jnl`	No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes. CoRR Minbiao Han, Fengxue Zhang, Yuxin Chen
2024	—	`conf`	Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. WWW (Companion Volume) Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen
2024	A*	`conf`	Wukong: Towards a Scaling Law for Large-Scale Recommendation. ICML Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Shen Li, Yanli Zhao, Yuchen Hao, Yantao Yao, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen
2024	J	`jnl`	Wukong: Towards a Scaling Law for Large-Scale Recommendation. CoRR Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Daifeng Guo, Yanli Zhao, Shen Li, Yuchen Hao, Yantao Yao, Guna Lakshminarayanan, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen
2023	A*	`conf`	Active Policy Improvement from Multiple Black-box Oracles. ICML Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen
2023	J	`jnl`	Active Policy Improvement from Multiple Black-box Oracles. CoRR Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen
2023	J	`jnl`	AutoML for Large Capacity Modeling of Meta's Ranking Systems. CoRR Hang Yin, Kuang-Hung Liu, Mengying Sun, Yuxin Chen, Buyun Zhang, Jiang Liu, Vivek Sehgal, Rudresh Rajnikant Panchal, Eugen Hotaj, Xi Liu, Daifeng Guo, Jamey Zhang, Zhou Wang, Shali Jiang, Huayu Li, Zhengxing Chen, Wen-Yen Chen, Jiyan Yang, Wei Wen
2023	J	`jnl`	Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints. CoRR Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen
2023	J	`jnl`	Blending Imitation and Reinforcement Learning for Robust Policy Improvement. CoRR Xuefeng Liu, Takuma Yoneda, Rick L. Stevens, Matthew R. Walter, Yuxin Chen
2023	J	`jnl`	Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints. CoRR Fengxue Zhang, Zejie Zhu, Yuxin Chen
2023	A*	`conf`	Efficient Online Decision Tree Learning with Active Feature Acquisition. IJCAI Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani
2023	J	`jnl`	Efficient Online Decision Tree Learning with Active Feature Acquisition. CoRR Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani
2023	J	`jnl`	Enhancing Instance-Level Image Classification with Set-Level Labels. CoRR Renyu Zhang, Aly A. Khan, Yuxin Chen, Robert L. Grossman
2023	A*	`conf`	Learning Human-Compatible Representations for Case-Based Decision Support. ICLR Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan
2023	J	`jnl`	Learning Human-Compatible Representations for Case-Based Decision Support. CoRR Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan
2023	A*	`conf`	Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation. ICML Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen
2023	J	`jnl`	Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation. CoRR Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas A. Desautels, Yuxin Chen
2023	J	`jnl`	Online learning of energy consumption for navigation of electric vehicles. Artif. Intell. Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
2023	J	`jnl`	Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. CoRR Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen
2023	A*	`conf`	Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing. ICLR Renyu Zhang, Aly A. Khan, Robert L. Grossman, Yuxin Chen
2023	A*	`conf`	Towards a General Video-based Keystroke Inference Attack. USENIX Security Symposium Zhuolin Yang, Yuxin Chen, Zain Sarwar, Hadleigh Schwartz, Ben Y. Zhao, Haitao Zheng
2022	—	`conf`	Class-wise Thresholding for Robust Out-of-Distribution Detection. CVPR Workshops Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
2022	J	`jnl`	Cost-Effective Online Contextual Model Selection. CoRR Xuefeng Liu, Fangfang Xia, Rick L. Stevens, Yuxin Chen
2022	—	`conf`	Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data. NAACL-HLT Jamar L. Sullivan Jr., William Brackenbury, Andrew McNut, Kevin Bryson, Kwam Byll, Yuxin Chen, Michael L. Littman, Chenhao Tan, Blase Ur
2022	J	`jnl`	Learning Representation for Bayesian Optimization with Collision-free Regularization. CoRR Fengxue Zhang, Brian Nord, Yuxin Chen
2022	Misc	`conf`	Optimizing Decision Making via Submodular Surrogates. ISAIM Yuxin Chen
2022	J	`jnl`	Rethinking Explainability as a Dialogue: A Practitioner's Perspective. CoRR Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan, Sameer Singh
2022	—	`conf`	Trip Prediction by Leveraging Trip Histories from Neighboring Users. ITSC Yuxin Chen, Morteza Haghir Chehreghani
2021	A*	`conf`	Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners. AAAI Zhe Xu, Yuxin Chen, Ufuk Topcu
2021	J	`jnl`	BALanCe: Deep Bayesian Active Learning via Equivalence Class Annealing. CoRR Renyu Zhang, Aly A. Khan, Robert L. Grossman, Yuxin Chen
2021	J	`jnl`	Class-wise Thresholding for Detecting Out-of-Distribution Data. CoRR Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
2021	—	`conf`	Demonstrating User Authentication via Electrical Muscle Stimulation. CHI Extended Abstracts Yuxin Chen, Zhuolin Yang, Ruben Abbou, Pedro Lopes, Ben Y. Zhao, Haitao Zheng
2021	A*	`conf`	Learning to Make Decisions via Submodular Regularization. ICLR Ayya Alieva, Aiden Aceves, Jialin Song, Stephen Mayo, Yisong Yue, Yuxin Chen
2021	J	`jnl`	Online Learning of Energy Consumption for Navigation of Electric Vehicles. CoRR Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
2021	A*	`conf`	Teaching an Active Learner with Contrastive Examples. NeurIPS Chaoqi Wang, Adish Singla, Yuxin Chen
2021	J	`jnl`	Teaching an Active Learner with Contrastive Examples. CoRR Chaoqi Wang, Adish Singla, Yuxin Chen
2021	A*	`conf`	Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm. NeurIPS Akash Kumar, Yuxin Chen, Adish Singla
2021	A	`conf`	The Teaching Dimension of Kernel Perceptron. AISTATS Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen
2021	J	`jnl`	Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities. CoRR Chinmaya Mahesh, Kristin Dona, David W. Miller, Yuxin Chen
2021	A*	`conf`	Understanding the Effect of Bias in Deep Anomaly Detection. IJCAI Ziyu Ye, Yuxin Chen, Haitao Zheng
2021	J	`jnl`	Understanding the Effect of Bias in Deep Anomaly Detection. CoRR Ziyu Ye, Yuxin Chen, Haitao Zheng
2021	A*	`conf`	User Authentication via Electrical Muscle Stimulation. CHI Yuxin Chen, Zhuolin Yang, Ruben Abbou, Pedro Lopes, Ben Y. Zhao, Haitao Zheng
2020	J	`jnl`	Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences. CoRR Zhe Xu, Yuxin Chen, Ufuk Topcu
2020	A*	`conf`	An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. IJCAI Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
2020	J	`jnl`	An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. CoRR Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
2020	J	`jnl`	Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults? CoRR Baihong Jin, Yingshui Tan, Yuxin Chen, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
2020	J	`jnl`	Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries. CoRR Akash Kumar, Adish Singla, Yisong Yue, Yuxin Chen
2020	—	`conf`	Demonstrating Wearable Microphone Jamming. CHI Extended Abstracts Yuxin Chen, Huiying Li, Shan-Yuan Teng, Steven Nagels, Zhijing Li, Pedro Lopes, Haitao Zheng, Ben Y. Zhao
2020	A*	`conf`	Et Tu Alexa? When Commodity WiFi Devices Turn into Adversarial Motion Sensors. NDSS Yanzi Zhu, Zhujun Xiao, Yuxin Chen, Zhijing Li, Max Liu, Ben Y. Zhao, Heather Zheng
2020	J	`jnl`	Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI. CoRR Yingshui Tan, Baihong Jin, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
2020	J	`jnl`	Preference-Based Batch and Sequential Teaching. CoRR Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla
2020	J	`jnl`	The Teaching Dimension of Kernel Perceptron. CoRR Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen
2020	A*	`conf`	Understanding the Power and Limitations of Teaching with Imperfect Knowledge. IJCAI Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla
2020	J	`jnl`	Understanding the Power and Limitations of Teaching with Imperfect Knowledge. CoRR Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla
2020	J	`jnl`	Using Ensemble Classifiers to Detect Incipient Anomalies. CoRR Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
2020	A*	`conf`	Wearable Microphone Jamming. CHI Yuxin Chen, Huiying Li, Shan-Yuan Teng, Steven Nagels, Zhijing Li, Pedro Lopes, Ben Y. Zhao, Haitao Zheng
2019	A	`conf`	A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes. AISTATS Jialin Song, Yuxin Chen, Yisong Yue
2019	—	`conf`	A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection. ICPHM Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
2019	J	`jnl`	A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection. CoRR Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
2019	C	`conf`	An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. ICMLA Yingshui Tan, Baihong Jin, Alexander J. Nettekoven, Yuxin Chen, Yisong Yue, Ufuk Topcu, Alberto L. Sangiovanni-Vincentelli
2019	J	`jnl`	An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. CoRR Baihong Jin, Yingshui Tan, Alexander J. Nettekoven, Yuxin Chen, Ufuk Topcu, Yisong Yue, Alberto L. Sangiovanni-Vincentelli
2019	J	`jnl`	Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults. CoRR Baihong Jin, Yingshui Tan, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
2019	C	`conf`	Barrier Certificates for Assured Machine Teaching. ACC Mohamadreza Ahmadi, Bo Wu, Yuxin Chen, Yisong Yue, Ufuk Topcu
2019	A	`conf`	Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design. AISTATS Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue
2019	J	`jnl`	Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design. CoRR Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue
2019	A*	`conf`	Landmark Ordinal Embedding. NeurIPS Nikhil Ghosh, Yuxin Chen, Yisong Yue
2019	J	`jnl`	Landmark Ordinal Embedding. CoRR Nikhil Ghosh, Yuxin Chen, Yisong Yue
2019	A*	`conf`	Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models. NeurIPS Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin (Jerry) Zhu, Adish Singla
2019	J	`jnl`	Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models. CoRR Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla
2019	A*	`conf`	Teaching Multiple Concepts to a Forgetful Learner. NeurIPS Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
2019	J	`jnl`	Understanding the Effectiveness of Ultrasonic Microphone Jammer. CoRR Yuxin Chen, Huiying Li, Steven Nagels, Zhijing Li, Pedro Lopes, Ben Y. Zhao, Haitao Zheng
2018	J	`jnl`	A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes. CoRR Jialin Song, Yuxin Chen, Yisong Yue
2018	J	`jnl`	Adversarial WiFi Sensing. CoRR Yanzi Zhu, Zhujun Xiao, Yuxin Chen, Zhijing Li, Max Liu, Ben Y. Zhao, Haitao Zheng
2018	J	`jnl`	Barrier Certificates for Assured Machine Teaching. CoRR Mohamadreza Ahmadi, Bo Wu, Yuxin Chen, Yisong Yue, Ufuk Topcu
2018	A	`conf`	Near-Optimal Machine Teaching via Explanatory Teaching Sets. AISTATS Yuxin Chen, Oisin Mac Aodha, Shihan Su, Pietro Perona, Yisong Yue
2018	J	`jnl`	Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes. CoRR Jialin Song, Yury S. Tokpanov, Yuxin Chen, Dagny Fleischman, Kate T. Fountaine, Harry A. Atwater, Yisong Yue
2018	J	`jnl`	Seeding Deep Learning using Wireless Localization. CoRR Zhujun Xiao, Yanzi Zhu, Yuxin Chen, Ben Y. Zhao, Junchen Jiang, Haitao Zheng
2018	A*	`conf`	Teaching Categories to Human Learners With Visual Explanations. CVPR Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue
2018	J	`jnl`	Teaching Categories to Human Learners with Visual Explanations. CoRR Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue
2018	J	`jnl`	Teaching Multiple Concepts to Forgetful Learners. CoRR Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez-Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
2018	J	`jnl`	Trip Prediction by Leveraging Trip Histories from Neighboring Users. CoRR Yuxin Chen, Morteza Haghir Chehreghani
2018	A*	`conf`	Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. NeurIPS Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue
2018	J	`jnl`	Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. CoRR Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue
2017	A	`conf`	Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting. UAI Yuxin Chen, Jean-Michel Renders, Morteza Haghir Chehreghani, Andreas Krause
2017	J	`jnl`	Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting. CoRR Yuxin Chen, Jean-Michel Renders, Morteza Haghir Chehreghani, Andreas Krause
2017	B	`conf`	Learning Shape Analysis. SAS Marc Brockschmidt, Yuxin Chen, Pushmeet Kohli, Siddharth Krishna, Daniel Tarlow
2017	—	`—`	Near-optimal Adaptive Information Acquisition: Theory and Applications. Yuxin Chen
2017	A	`conf`	Near-optimal Bayesian Active Learning with Correlated and Noisy Tests. AISTATS Yuxin Chen, Seyed Hamed Hassani, Andreas Krause
2016	J	`jnl`	Near-optimal Bayesian Active Learning with Correlated and Noisy Tests. CoRR Yuxin Chen, S. Hamed Hassani, Andreas Krause
2015	A*	`conf`	Sequential Information Maximization: When is Greedy Near-optimal? COLT Yuxin Chen, S. Hamed Hassani, Amin Karbasi, Andreas Krause
2015	A*	`conf`	Submodular Surrogates for Value of Information. AAAI Yuxin Chen, Shervin Javdani, Amin Karbasi, J. Andrew Bagnell, Siddhartha S. Srinivasa, Andreas Krause
2014	A*	`conf`	Active Detection via Adaptive Submodularity. ICML Yuxin Chen, Hiroaki Shioi, Cesar Fuentes Montesinos, Lian Pin Koh, Serge A. Wich, Andreas Krause
2014	A	`conf`	Near Optimal Bayesian Active Learning for Decision Making. AISTATS Shervin Javdani, Yuxin Chen, Amin Karbasi, Andreas Krause, Drew Bagnell, Siddhartha S. Srinivasa
2014	J	`jnl`	Near Optimal Bayesian Active Learning for Decision Making. CoRR Shervin Javdani, Yuxin Chen, Amin Karbasi, Andreas Krause, J. Andrew Bagnell, Siddhartha S. Srinivasa
2013	—	`conf`	Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization. ICML (1) Yuxin Chen, Andreas Krause
2013	J	`jnl`	iLike: Bridging the Semantic Gap in Vertical Image Search by Integrating Text and Visual Features. IEEE Trans. Knowl. Data Eng. Yuxin Chen, Hariprasad Sampathkumar, Bo Luo, Xue-wen Chen
2012	—	`conf`	IPKB: a digital library for invertebrate paleontology. JCDL Yuanliang Meng, Junyan Li, Patrick Denton, Yuxin Chen, Bo Luo, Paul Selden, Xue-wen Chen
2012	—	`conf`	S2A: secure smart household appliances. CODASPY Yuxin Chen, Bo Luo
2011	—	`conf`	Cephalometric Landmark Tracing Using Deformable Templates. HISB Yuxin Chen, Brian Potetz, Bo Luo, Xue-wen Chen, Yunfeng Lin
2011	B	`conf`	Privacy Preserving Group Linkage. SSDBM Fengjun Li, Yuxin Chen, Bo Luo, Dongwon Lee, Peng Liu
2010	A*	`conf`	iLike: integrating visual and textual features for vertical search. ACM Multimedia Yuxin Chen, Nenghai Yu, Bo Luo, Xue-wen Chen