Wang, Chenyu

35 publications

ICLR 2026 Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models Sharut Gupta, Shobhita Sundaram, Chenyu Wang, Stefanie Jegelka, Phillip Isola

ICLR 2026 Hierarchical Value-Decomposed Offline Reinforcement Learning for Whole-Body Control Zhilong Zhang, Yunpeng Mei, Xinghao Du, Hongjie Cao, Haonan Wang, Pengyuan Min, Chenyu Wang, Pengfei Chen, Chenbo Xin, Yijie Wang, Wenyu Luo, Yihao Sun, Yidi Wang, Lei Yuan, Gang Wang, Yang Yu

ICLR 2026 Inpainting-Guided Policy Optimization for Diffusion Large Language Models Siyan Zhao, Mengchen Liu, Jing Huang, Miao Liu, Chenyu Wang, Bo Liu, Yuandong Tian, Guan Pang, Sean Bell, Aditya Grover, Feiyu Chen

ICLR 2026 SLM-MUX: Orchestrating Small Language Models for Reasoning Chenyu Wang, Zishen Wan, Hao Kang, Emma Chen, Zhiqiang Xie, Tushar Krishna, Vijay Janapa Reddi, Yilun Du

ICLR 2026 SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models Chenyu Wang, Paria Rashidinejad, DiJia Su, Song Jiang, Sid Wang, Siyan Zhao, Cai Zhou, Shannon Zejiang Shen, Feiyu Chen, Tommi Jaakkola, Yuandong Tian, Bo Liu

ICLR 2026 SPICE: Submodular Penalized Information–Conflict Selection for Efficient Large Language Model Training Powei Chang, Jinpeng Zhang, Bowen Chen, Chenyu Wang, Chenlu Guo, Yixing Zhang, Yukang Gao, JianXiang Xiang, Yue Gao, Chaoqun Sun, Yiyi Chen, Dongying Kong

ICLR 2025 An Information Criterion for Controlled Disentanglement of Multimodal Data Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi Jaakkola, Caroline Uhler

CVPR 2025 Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation Yuhui Zhang, Yuchang Su, Yiming Liu, Xiaohan Wang, James Burgess, Elaine Sui, Chenyu Wang, Josiah Aklilu, Alejandro Lozano, Anjiang Wei, Ludwig Schmidt, Serena Yeung-Levy

ICML 2025 CellFlux: Simulating Cellular Morphology Changes via Flow Matching Yuhui Zhang, Yuchang Su, Chenyu Wang, Tianhong Li, Zoe Wefers, Jeffrey J Nirschl, James Burgess, Daisy Ding, Alejandro Lozano, Emma Lundberg, Serena Yeung-Levy

NeurIPS 2025 Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gökcen Eraslan, Surag Nair, Tommaso Biancalani, Shuiwang Ji, Aviv Regev, Sergey Levine, Masatoshi Uehara

ICLR 2025 Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design Chenyu Wang, Masatoshi Uehara, Yichun He, Amy Wang, Avantika Lal, Tommi Jaakkola, Sergey Levine, Aviv Regev, Hanchen, Tommaso Biancalani

NeurIPS 2025 GLID$^2$E: A Gradient-Free Lightweight Fine-Tune Approach for Discrete Biological Sequence Design Hanqun Cao, Haosen Shi, Chenyu Wang, Sinno Jialin Pan, Pheng-Ann Heng

ICLRW 2025 GLID$^2$E: A Gradient-Free Lightweight Fine-Tune Approach for Discrete Sequence Design Hanqun Cao, Haosen Shi, Chenyu Wang, Sinno Jialin Pan, Pheng-Ann Heng

NeurIPS 2025 Learning Diffusion Models with Flexible Representation Guidance Chenyu Wang, Cai Zhou, Sharut Gupta, Zongyu Lin, Stefanie Jegelka, Stephen Bates, Tommi Jaakkola

WACV 2025 MLLM-Tool: A Multimodal Large Language Model for Tool Agent Learning Chenyu Wang, Weixin Luo, Sixun Dong, Xiaohua Xuan, Zhengxin Li, Lin Ma, Shenghua Gao

NeurIPS 2025 Next Semantic Scale Prediction via Hierarchical Diffusion Language Models Cai Zhou, Chenyu Wang, Dinghuai Zhang, Shangyuan Tong, Yifei Wang, Stephen Bates, Tommi Jaakkola

NeurIPSW 2024 An Information Criterion for Controlled Disentanglement of Multimodal Data Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi Jaakkola, Caroline Uhler

CoRL 2024 Control with Patterns: A D-Learning Method Quan Quan, Kai-Yuan Cai, Chenyu Wang

NeurIPSW 2024 Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gökcen Eraslan, Surag Nair, Tommaso Biancalani, Shuiwang Ji, Aviv Regev, Sergey Levine, Masatoshi Uehara

ICML 2024 Dirichlet Flow Matching with Applications to DNA Sequence Design Hannes Stark, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi Jaakkola

ICLRW 2024 Dirichlet Flow Matching with Applications to DNA Sequence Design Hannes Stark, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi Jaakkola

NeurIPSW 2024 Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design Chenyu Wang, Masatoshi Uehara, Yichun He, Amy Wang, Tommaso Biancalani, Avantika Lal, Tommi Jaakkola, Sergey Levine, Hanchen, Aviv Regev

ICML 2024 Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman, Carmel Majidi, Abhinav Gupta, Tess Hellebrekers, Lerrel Pinto

ICMLW 2024 Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman, Carmel Majidi, Abhinav Gupta, Tess Hellebrekers, Lerrel Pinto

NeurIPS 2024 In-Context Symmetries: Self-Supervised Learning Through Contextual World Models Sharut Gupta, Chenyu Wang, Yifei Wang, Tommi Jaakkola, Stefanie Jegelka

ICMLW 2024 In-Context Symmetries: Self-Supervised Learning Through Contextual World Models Sharut Gupta, Chenyu Wang, Yifei Wang, Tommi Jaakkola, Stefanie Jegelka

NeurIPSW 2024 In-Context Symmetries: Self-Supervised Learning Through Contextual World Models Sharut Gupta, Chenyu Wang, Yifei Wang, Tommi Jaakkola, Stefanie Jegelka

NeurIPSW 2024 In-Context Symmetries: Self-Supervised Learning Through Contextual World Models Sharut Gupta, Chenyu Wang, Yifei Wang, Tommi Jaakkola, Stefanie Jegelka

ICLR 2024 Removing Biases from Molecular Representations via Information Maximization Chenyu Wang, Sharut Gupta, Caroline Uhler, Tommi S. Jaakkola

ICLRW 2023 Federated Learning Aggregation via a Reinforcement Learning Policy Bear Häon, Adam Dunn, Jinman Kim, Chenyu Wang, Dongang Wang

NeurIPSW 2023 Removing Biases from Molecular Representations via Information Maximization Chenyu Wang, Sharut Gupta, Caroline Uhler, Tommi Jaakkola

AAAI 2022 HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi

ECCV 2022 Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Chenyu Wang, Wanli Ouyang

CVPR 2021 Open Domain Generalization with Domain-Augmented Meta-Learning Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long

ICCV 2017 Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing