Yisong Yue
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
91
Venues
23
Active years
2007–2026
Best venue rank
A*
Where they publish
- A*ICML23 papers
- A*CVPR9 papers
- A*ICLR7 papers
- AIROS6 papers
- A*ICRA6 papers
- AAISTATS6 papers
- AUAI4 papers
- A*ICDM4 papers
- A*AAAI3 papers
- A*KDD3 papers
- A*SIGIR3 papers
- A*ACL2 papers
- A*COLT2 papers
- A*EMNLP2 papers
- A*IJCAI2 papers
- A*WWW2 papers
- A*ICCV1 paper
- BCPAIOR1 paper
- BSoCS1 paper
- CICMLA1 paper
- NationalCOMSNETS1 paper
- AIUI1 paper
- AWSDM1 paper
Papers
91 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | DataSciBench: An LLM Agent Benchmark for Data Science. | Dan Zhang, Sining Zhoubian, Min Cai, Fengzu Li, Lekang Yang, Wei Wang, Tianjiao Dong, Ziniu Hu, Jie Tang, Yisong Yue |
| 2025 | ACL | Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents. | Fanzeng Xia, Hao Liu, Yisong Yue, Tongxin Li |
| 2025 | CVPR | Visual Agentic AI for Spatial Reasoning with a Dynamic API. | Damiano Marsili, Rohun Agrawal, Yisong Yue, Georgia Gkioxari |
| 2025 | CVPR | Self-Evolving Visual Concept Library using Vision-Language Critics. | Atharva Sehgal, Patrick Yuan, Ziniu Hu, Yisong Yue, Jennifer J. Sun, Swarat Chaudhuri |
| 2025 | ICCV | Find any Part in 3D. | Ziqi Ma, Yisong Yue, Georgia Gkioxari |
| 2025 | ICLR | Population Transformer: Learning Population-level Representations of Neural Activity. | Geeling Chau, Christopher Wang, Sabera J. Talukder, Vighnesh Subramaniam, Saraswati Soedarmadji, Yisong Yue, Boris Katz, Andrei Barbu |
| 2025 | ICLR | Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search. | Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu |
| 2025 | ICLR | InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences. | Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, Nikola Borislavov Kovachki, Zachary E. Ross, Katherine L. Bouman, Yisong Yue |
| 2025 | IROS | Hybrid Data-Driven Predictive Control for Robust and Reactive Exoskeleton Locomotion Synthesis. | Kejun Li, Jeeseop Kim, Maxime Brunet, Marine Ptriaux, Yisong Yue, Aaron D. Ames |
| 2024 | COLT | Online Policy Optimization in Unknown Nonlinear Systems. | Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman |
| 2024 | EMNLP | Uncertainty Calibration for Tool-Using Language Agents. | Hao Liu, Zi-Yi Dou, Yixin Wang, Nanyun Peng, Yisong Yue |
| 2024 | ICML | Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. | Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue |
| 2024 | ICML | SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code. | Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi |
| 2024 | ICML | Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models. | Francesca-Zhoufan Li, Ava P. Amini, Yisong Yue, Kevin K. Yang, Alex Xijie Lu |
| 2024 | IROS | Robust Agility via Learned Zero Dynamics Policies. | Noel Csomay-Shanklin, William D. Compton, Ivan Dario Jimenez Rodriguez, Eric R. Ambrose, Yisong Yue, Aaron D. Ames |
| 2024 | IROS | Data-Driven Predictive Control for Robust Exoskeleton Locomotion. | Kejun Li, Jeeseop Kim, Xiaobin Xiong, Kaveh Akbari Hamed, Yisong Yue, Aaron D. Ames |
| 2024 | ICRA | Hierarchical Meta-learning-based Adaptive Controller. | Fengze Xie, Guanya Shi, Michael O'Connell, Yisong Yue, Soon-Jo Chung |
| 2023 | CVPR | BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. | Jennifer J. Sun, Lili Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona |
| 2023 | ICML | MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior. | Jennifer J. Sun, Markus Marks, Andrew Wesley Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Sebastian Oleszko, Zachary Partridge, Milan Peelman, Alice Robie, Catherine E. Schretter, Keith Sheppard, Chao Sun, Param Uttarwar, Julian Morgan Wagner, Erik Werner, Joseph Parker, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy |
| 2023 | ICML | Eventual Discounting Temporal Logic Counterfactual Experience Replay. | Cameron Voloshin, Abhinav Verma, Yisong Yue |
| 2023 | ICML | Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation. | Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen |
| 2023 | IJCAI | Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. | Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan |
| 2022 | CPAIOR | Learning Pseudo-Backdoors for Mixed Integer Programs. | Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue |
| 2022 | CVPR | Self-Supervised Keypoint Discovery in Behavioral Videos. | Jennifer J. Sun, Serim Ryou, Roni H. Goldshmid, Brandon Weissbourd, John O. Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona |
| 2022 | CVPR | Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis. | Albert Tseng, Jennifer J. Sun, Yisong Yue |
| 2022 | ICML | Investigating Generalization by Controlling Normalized Margin. | Alexander R. Farhang, Jeremy D. Bernstein, Kushal Tirumala, Yang Liu, Yisong Yue |
| 2022 | ICML | LyaNet: A Lyapunov Framework for Training Neural ODEs. | Ivan Dario Jimenez Rodriguez, Aaron D. Ames, Yisong Yue |
| 2022 | ICRA | Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision. | Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tams G. Molnr, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman |
| 2021 | AAAI | Deep Bayesian Quadrature Policy Optimization. | Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Animashree Anandkumar, Yisong Yue |
| 2021 | AISTATS | Online Robust Control of Nonlinear Systems with Large Uncertainty. | Dimitar Ho, Hoang Minh Le, John Doyle, Yisong Yue |
| 2021 | AISTATS | Minimax Model Learning. | Cameron Voloshin, Nan Jiang, Yisong Yue |
| 2021 | AISTATS | Active Learning under Label Shift. | Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue |
| 2021 | CVPR | Task Programming: Learning Data Efficient Behavior Representations. | Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona |
| 2021 | ICLR | Learning to Make Decisions via Submodular Regularization. | Ayya Alieva, Aiden Aceves, Jialin Song, Stephen Mayo, Yisong Yue, Yuxin Chen |
| 2021 | ICML | Learning by Turning: Neural Architecture Aware Optimisation. | Yang Liu, Jeremy Bernstein, Markus Meister, Yisong Yue |
| 2021 | ICRA | ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. | Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames |
| 2021 | IROS | Learning to Control an Unstable System with One Minute of Data: Leveraging Gaussian Process Differentiation in Predictive Control. | Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue |
| 2021 | KDD | Fine-Grained System Identification of Nonlinear Neural Circuits. | Dawna Bagherian, James Gornet, Jeremy Bernstein, Yu-Li Ni, Yisong Yue, Markus Meister |
| 2021 | UAI | Competitive policy optimization. | Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar |
| 2021 | SoCS | Learning Pseudo-Backdoors for Mixed Integer Programs. | Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue |
| 2020 | ICML | Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis. | Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu |
| 2020 | ICML | Learning Calibratable Policies using Programmatic Style-Consistency. | Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew J. Hausknecht |
| 2020 | IROS | Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. | Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames |
| 2020 | ICRA | Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. | Guanya Shi, Wolfgang Hnig, Yisong Yue, Soon-Jo Chung |
| 2020 | ICRA | Preference-Based Learning for Exoskeleton Gait Optimization. | Maegan Tucker, Ellen R. Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel W. Burdick, Aaron D. Ames |
| 2020 | UAI | Dueling Posterior Sampling for Preference-Based Reinforcement Learning. | Ellen R. Novoseller, Yibing Wei, Yanan Sui, Yisong Yue, Joel Burdick |
| 2019 | AISTATS | A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes. | Jialin Song, Yuxin Chen, Yisong Yue |
| 2019 | AISTATS | Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design. | Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue |
| 2019 | ICLR | Generating Multi-Agent Trajectories using Programmatic Weak Supervision. | Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey |
| 2019 | ICML | Batch Policy Learning under Constraints. | Hoang Minh Le, Cameron Voloshin, Yisong Yue |
| 2019 | ICML | Control Regularization for Reduced Variance Reinforcement Learning. | Richard Cheng, Abhinav Verma, Gbor Orosz, Swarat Chaudhuri, Yisong Yue, Joel Burdick |
| 2019 | ICMLA | An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. | Yingshui Tan, Baihong Jin, Alexander J. Nettekoven, Yuxin Chen, Yisong Yue, Ufuk Topcu, Alberto L. Sangiovanni-Vincentelli |
| 2019 | IROS | Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems | Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames |
| 2019 | ICRA | Neural Lander: Stable Drone Landing Control Using Learned Dynamics. | Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung |
| 2019 | UAI | Co-training for Policy Learning. | Jialin Song, Ravi Lanka, Yisong Yue, Masahiro Ono |
| 2018 | AAAI | Safe Exploration and Optimization of Constrained MDPs Using Gaussian Processes. | Akifumi Wachi, Yanan Sui, Yisong Yue, Masahiro Ono |
| 2018 | AISTATS | Near-Optimal Machine Teaching via Explanatory Teaching Sets. | Yuxin Chen, Oisin Mac Aodha, Shihan Su, Pietro Perona, Yisong Yue |
| 2018 | CVPR | Teaching Categories to Human Learners With Visual Explanations. | Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue |
| 2018 | ICLR | Learning to Infer. | Joseph Marino, Yisong Yue, Stephan Mandt |
| 2018 | ICML | Hierarchical Imitation and Reinforcement Learning. | Hoang Minh Le, Nan Jiang, Alekh Agarwal, Miroslav Dudk, Yisong Yue, Hal Daum III |
| 2018 | ICML | Iterative Amortized Inference. | Joseph Marino, Yisong Yue, Stephan Mandt |
| 2018 | ICML | Stagewise Safe Bayesian Optimization with Gaussian Processes. | Yanan Sui, Vincent Zhuang, Joel W. Burdick, Yisong Yue |
| 2018 | IJCAI | Advancements in Dueling Bandits. | Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue |
| 2017 | CVPR | Factorized Variational Autoencoders for Modeling Audience Reactions to Movies. | Zhiwei Deng, Rajitha Navarathna, Peter Carr, Stephan Mandt, Yisong Yue, Iain A. Matthews, Greg Mori |
| 2017 | ICLR | Learning Recurrent Representations for Hierarchical Behavior Modeling. | Eyrun Eyjolfsdottir, Kristin Branson, Yisong Yue, Pietro Perona |
| 2017 | ICML | Coordinated Multi-Agent Imitation Learning. | Hoang Minh Le, Yisong Yue, Peter Carr, Patrick Lucey |
| 2017 | UAI | Multi-dueling Bandits with Dependent Arms. | Yanan Sui, Vincent Zhuang, Joel W. Burdick, Yisong Yue |
| 2016 | COMSNETS | Robust ambulance allocation using risk-based metrics. | Kaushik Krishnan, Lavanya Marla, Yisong Yue |
| 2016 | CVPR | Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees. | Jianhui Chen, Hoang Minh Le, Peter Carr, Yisong Yue, James J. Little |
| 2016 | ICDM | A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses. | Matteo Ruggero Ronchi, Joon Sik Kim, Yisong Yue |
| 2016 | ICML | Smooth Imitation Learning for Online Sequence Prediction. | Hoang Minh Le, Andrew Kang, Yisong Yue, Peter Carr |
| 2016 | IUI | Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval. | Long Sha, Patrick Lucey, Yisong Yue, Peter Carr, Charlie Rohlf, Iain A. Matthews |
| 2015 | KDD | A Decision Tree Framework for Spatiotemporal Sequence Prediction. | Taehwan Kim, Yisong Yue, Sarah L. Taylor, Iain A. Matthews |
| 2014 | ICDM | Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data. | Alina Bialkowski, Patrick Lucey, Peter Carr, Yisong Yue, Sridha Sridharan, Iain A. Matthews |
| 2014 | ICDM | Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data. | Alina Bialkowski, Patrick Lucey, Peter Carr, Yisong Yue, Sridha Sridharan, Iain A. Matthews |
| 2014 | ICDM | Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction. | Yisong Yue, Patrick Lucey, Peter Carr, Alina Bialkowski, Iain A. Matthews |
| 2014 | WWW | Personalized collaborative clustering. | Yisong Yue, Chong Wang, Khalid El-Arini, Carlos Guestrin |
| 2013 | ICML | Learning Policies for Contextual Submodular Prediction. | Stphane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, Drew Bagnell |
| 2013 | KDD | Adaptive collective routing using gaussian process dynamic congestion models. | Siyuan Liu, Yisong Yue, Ramayya Krishnan |
| 2012 | AAAI | An Efficient Simulation-Based Approach to Ambulance Fleet Allocation and Dynamic Redeployment. | Yisong Yue, Lavanya Marla, Ramayya Krishnan |
| 2012 | ICML | Hierarchical Exploration for Accelerating Contextual Bandits. | Yisong Yue, Sue Ann Hong, Carlos Guestrin |
| 2011 | ICML | Beat the Mean Bandit. | Yisong Yue, Thorsten Joachims |
| 2011 | SIGIR | Practical online retrieval evaluation. | Filip Radlinski, Yisong Yue |
| 2011 | WSDM | Dynamic ranked retrieval. | Christina Brandt, Thorsten Joachims, Yisong Yue, Jacob Bank |
| 2010 | EMNLP | Multi-Level Structured Models for Document-Level Sentiment Classification. | Ainur Yessenalina, Yisong Yue, Claire Cardie |
| 2010 | WWW | Beyond position bias: examining result attractiveness as a source of presentation bias in clickthrough data. | Yisong Yue, Rajan Patel, Hein Roehrig |
| 2010 | SIGIR | Learning more powerful test statistics for click-based retrieval evaluation. | Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, Thorsten Joachims |
| 2009 | COLT | The K-armed Dueling Bandits Problem. | Yisong Yue, Josef Broder, Robert Kleinberg, Thorsten Joachims |
| 2009 | ICML | Interactively optimizing information retrieval systems as a dueling bandits problem. | Yisong Yue, Thorsten Joachims |
| 2008 | ICML | Predicting diverse subsets using structural SVMs. | Yisong Yue, Thorsten Joachims |
| 2007 | SIGIR | A support vector method for optimizing average precision. | Yisong Yue, Thomas Finley, Filip Radlinski, Thorsten Joachims |