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ORCIDChenyu Wang 0003
Person information
- affiliation: Massachusetts Institute of Technology (MIT), Computer Science and Artificial Intelligence Laboratory (CSAIL), Cambridge, MA, USA
Other persons with the same name
- Chenyu Wang (aka: Chen-Yu Wang, Chen-yu Wang) — disambiguation page
- Chenyu Wang 0001
![[0000-0001-7135-7662]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7135-7662")
— University of Sydney, Brain and Mind Centre, Australia - Chenyu Wang 0002 — Beijing University of Posts and Telecommunications (BUPT), School of Cyberspace Security, Beijing, China
- Chenyu Wang 0004 — Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China
- Chenyu Wang 0005 — Singapore Management University, Singapore
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2020 – today
- 2025
[c6]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:
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation. CVPR 2025: 29580-29590- [c5]Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi S. Jaakkola, Caroline Uhler:
An Information Criterion for Controlled Disentanglement of Multimodal Data. ICLR 2025 - [c4]Chenyu Wang, Masatoshi Uehara, Yichun He, Amy Wang, Avantika Lal, Tommi S. Jaakkola, Sergey Levine, Aviv Regev, Hanchen Wang, Tommaso Biancalani:
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design. ICLR 2025 - [i15]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:
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation. CoRR abs/2501.03225 (2025) - [i14]Masatoshi Uehara, Yulai Zhao, Chenyu Wang, Xiner Li, Aviv Regev, Sergey Levine, Tommaso Biancalani:
Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review. CoRR abs/2501.09685 (2025) - [i13]Yuhui Zhang, Yuchang Su, Chenyu Wang, Tianhong Li, Zoe Wefers, Jeffrey J. Nirschl, James Burgess, Daisy Ding, Alejandro Lozano, Emma Lundberg, Serena Yeung-Levy:
CellFlow: Simulating Cellular Morphology Changes via Flow Matching. CoRR abs/2502.09775 (2025) - [i12]Chenyu Wang, Cai Zhou, Sharut Gupta, Zongyu Lin, Stefanie Jegelka, Stephen Bates, Tommi S. Jaakkola:
Learning Diffusion Models with Flexible Representation Guidance. CoRR abs/2507.08980 (2025) - [i11]Siyan Zhao, Mengchen Liu, Jing Huang, Miao Liu, Chenyu Wang, Bo Liu, Yuandong Tian, Guan Pang, Sean Bell, Aditya Grover, Feiyu Chen:
Inpainting-Guided Policy Optimization for Diffusion Large Language Models. CoRR abs/2509.10396 (2025) - [i10]Cai Zhou, Chenxiao Yang, Yi Hu, Chenyu Wang, Chubin Zhang, Muhan Zhang, Lester Mackey, Tommi S. Jaakkola, Stephen Bates, Dinghuai Zhang:
Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner. CoRR abs/2510.03206 (2025) - [i9]Sharut Gupta, Shobhita Sundaram, Chenyu Wang, Stefanie Jegelka, Phillip Isola:
Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models. CoRR abs/2510.08492 (2025) - [i8]Cai Zhou, Chenyu Wang, Dinghuai Zhang, Shangyuan Tong, Yifei Wang, Stephen Bates, Tommi S. Jaakkola:
Next Semantic Scale Prediction via Hierarchical Diffusion Language Models. CoRR abs/2510.08632 (2025) - [i7]Chenyu Wang, Paria Rashidinejad, DiJia Su, Song Jiang, Sid Wang, Siyan Zhao, Cai Zhou, Shannon Zejiang Shen, Feiyu Chen, Tommi S. Jaakkola, Yuandong Tian, Bo Liu:
SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models. CoRR abs/2510.09541 (2025) - 2024
- [c3]Chenyu Wang, Sharut Gupta, Caroline Uhler, Tommi S. Jaakkola:
Removing Biases from Molecular Representations via Information Maximization. ICLR 2024 - [c2]Hannes Stärk, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi S. Jaakkola:
Dirichlet Flow Matching with Applications to DNA Sequence Design. ICML 2024 - [c1]Sharut Gupta, Chenyu Wang, Yifei Wang, Tommi S. Jaakkola, Stefanie Jegelka:
In-Context Symmetries: Self-Supervised Learning through Contextual World Models. NeurIPS 2024 - [i6]Hannes Stärk, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi S. Jaakkola:
Dirichlet Flow Matching with Applications to DNA Sequence Design. CoRR abs/2402.05841 (2024) - [i5]Sharut Gupta, Chenyu Wang, Yifei Wang, Tommi S. Jaakkola, Stefanie Jegelka:
In-Context Symmetries: Self-Supervised Learning through Contextual World Models. CoRR abs/2405.18193 (2024) - [i4]Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gökcen Eraslan, Surag Nair, Tommaso Biancalani, Aviv Regev, Sergey Levine, Masatoshi Uehara:
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding. CoRR abs/2408.08252 (2024) - [i3]Chenyu Wang, Masatoshi Uehara, Yichun He, Amy Wang, Tommaso Biancalani, Avantika Lal, Tommi S. Jaakkola, Sergey Levine, Hanchen Wang, Aviv Regev:
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design. CoRR abs/2410.13643 (2024) - [i2]Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi S. Jaakkola, Caroline Uhler:
An Information Criterion for Controlled Disentanglement of Multimodal Data. CoRR abs/2410.23996 (2024) - 2023
- [i1]Chenyu Wang, Sharut Gupta, Caroline Uhler, Tommi S. Jaakkola:
Removing Biases from Molecular Representations via Information Maximization. CoRR abs/2312.00718 (2023)
Coauthor Index
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