Yang, Jiachen

16 publications

ICLR 2025 Agent S: An Open Agentic Framework That Uses Computers like a Human Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Eric Wang

ICLRW 2025 Agent S: An Open Agentic Framework That Uses Computers like a Human Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Eric Wang

AAAI 2025 DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces Jacob F. Pettit, Chak Shing Lee, Jiachen Yang, Alex Ho, Daniel M. Faissol, Brenden K. Petersen, Mikel Landajuela

ICLR 2025 Inner Information Analysis Algorithm for Deep Neural Network Based on Community Guipeng Lan, Shuai Xiao, Meng Xi, Jiabao Wen, Jiachen Yang

ICML 2025 Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models Jiachen Yang, Yusong Wang, Yanmei Fang, Yunshu Dai, Fangjun Huang

NeurIPSW 2024 Agent S: An Open Agentic Framework That Uses Computers like a Human Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Eric Wang

ICMLW 2024 Generative Design of Decision Tree Policies for Reinforcement Learning Jacob Pettit, Chak Shing Lee, Jiachen Yang, Alex Ho, Daniel Faissol, Brenden K. Petersen, Mikel Landajuela

AAAI 2024 Generative Model Perception Rectification Algorithm for Trade-Off Between Diversity and Quality Guipeng Lan, Shuai Xiao, Jiachen Yang, Jiabao Wen

AISTATS 2023 Reinforcement Learning for Adaptive Mesh Refinement Jiachen Yang, Tarik Dzanic, Brenden Petersen, Jun Kudo, Ketan Mittal, Vladimir Tomov, Jean-Sylvain Camier, Tuo Zhao, Hongyuan Zha, Tzanio Kolev, Robert Anderson, Daniel Faissol

NeurIPS 2022 A Unified Framework for Deep Symbolic Regression Mikel Landajuela, Chak Shing Lee, Jiachen Yang, Ruben Glatt, Claudio P Santiago, Ignacio Aravena, Terrell Mundhenk, Garrett Mulcahy, Brenden K Petersen

ICLR 2020 CM3: Cooperative Multi-Goal Multi-Stage Multi-Agent Reinforcement Learning Jiachen Yang, Alireza Nakhaei, David Isele, Kikuo Fujimura, Hongyuan Zha

ICML 2020 GraphOpt: Learning Optimization Models of Graph Formation Rakshit Trivedi, Jiachen Yang, Hongyuan Zha

NeurIPS 2020 Learning to Incentivize Other Learning Agents Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha

ICLR 2020 Single Episode Policy Transfer in Reinforcement Learning Jiachen Yang, Brenden Petersen, Hongyuan Zha, Daniel Faissol

ICLR 2018 Learning Deep Mean Field Games for Modeling Large Population Behavior Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha

ICML 2017 Fake News Mitigation via Point Process Based Intervention Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Khalil, Shuang Li, Le Song, Hongyuan Zha