Chenyu Wang - RankMe

22 papers A* 7Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	An Information Criterion for Controlled Disentanglement of Multimodal Data. ICLR Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi S. Jaakkola, Caroline Uhler
2025	A*	`conf`	Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation. CVPR 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
2025	J	`jnl`	Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation. CoRR 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
2025	J	`jnl`	Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models. CoRR Sharut Gupta, Shobhita Sundaram, Chenyu Wang, Stefanie Jegelka, Phillip Isola
2025	J	`jnl`	CellFlow: Simulating Cellular Morphology Changes via Flow Matching. CoRR Yuhui Zhang, Yuchang Su, Chenyu Wang, Tianhong Li, Zoe Wefers, Jeffrey J. Nirschl, James Burgess, Daisy Ding, Alejandro Lozano, Emma Lundberg, Serena Yeung-Levy
2025	A*	`conf`	CellFlux: Simulating Cellular Morphology Changes via Flow Matching. ICML Yuhui Zhang, Yuchang Su, Chenyu Wang, Tianhong Li, Zoe Wefers, Jeffrey J. Nirschl, James Burgess, Daisy Ding, Alejandro Lozano, Emma Lundberg, Serena Yeung-Levy
2025	J	`jnl`	Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner. CoRR Cai Zhou, Chenxiao Yang, Yi Hu, Chenyu Wang, Chubin Zhang, Muhan Zhang, Lester Mackey, Tommi S. Jaakkola, Stephen Bates, Dinghuai Zhang
2025	A*	`conf`	Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design. ICLR Chenyu Wang, Masatoshi Uehara, Yichun He, Amy Wang, Avantika Lal, Tommi S. Jaakkola, Sergey Levine, Aviv Regev, Hanchen Wang, Tommaso Biancalani
2025	J	`jnl`	Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review. CoRR Masatoshi Uehara, Yulai Zhao, Chenyu Wang, Xiner Li, Aviv Regev, Sergey Levine, Tommaso Biancalani
2025	J	`jnl`	Inpainting-Guided Policy Optimization for Diffusion Large Language Models. CoRR Siyan Zhao, Mengchen Liu, Jing Huang, Miao Liu, Chenyu Wang, Bo Liu, Yuandong Tian, Guan Pang, Sean Bell, Aditya Grover, Feiyu Chen
2025	J	`jnl`	Learning Diffusion Models with Flexible Representation Guidance. CoRR Chenyu Wang, Cai Zhou, Sharut Gupta, Zongyu Lin, Stefanie Jegelka, Stephen Bates, Tommi S. Jaakkola
2025	J	`jnl`	Next Semantic Scale Prediction via Hierarchical Diffusion Language Models. CoRR Cai Zhou, Chenyu Wang, Dinghuai Zhang, Shangyuan Tong, Yifei Wang, Stephen Bates, Tommi S. Jaakkola
2025	J	`jnl`	SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models. CoRR 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
2024	J	`jnl`	An Information Criterion for Controlled Disentanglement of Multimodal Data. CoRR Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi S. Jaakkola, Caroline Uhler
2024	J	`jnl`	Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding. CoRR Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gökcen Eraslan, Surag Nair, Tommaso Biancalani, Aviv Regev, Sergey Levine, Masatoshi Uehara
2024	A*	`conf`	Dirichlet Flow Matching with Applications to DNA Sequence Design. ICML Hannes Stärk, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi S. Jaakkola
2024	J	`jnl`	Dirichlet Flow Matching with Applications to DNA Sequence Design. CoRR Hannes Stärk, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi S. Jaakkola
2024	J	`jnl`	Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design. CoRR Chenyu Wang, Masatoshi Uehara, Yichun He, Amy Wang, Tommaso Biancalani, Avantika Lal, Tommi S. Jaakkola, Sergey Levine, Hanchen Wang, Aviv Regev
2024	A*	`conf`	In-Context Symmetries: Self-Supervised Learning through Contextual World Models. NeurIPS Sharut Gupta, Chenyu Wang, Yifei Wang, Tommi S. Jaakkola, Stefanie Jegelka
2024	J	`jnl`	In-Context Symmetries: Self-Supervised Learning through Contextual World Models. CoRR Sharut Gupta, Chenyu Wang, Yifei Wang, Tommi S. Jaakkola, Stefanie Jegelka
2024	A*	`conf`	Removing Biases from Molecular Representations via Information Maximization. ICLR Chenyu Wang, Sharut Gupta, Caroline Uhler, Tommi S. Jaakkola
2023	J	`jnl`	Removing Biases from Molecular Representations via Information Maximization. CoRR Chenyu Wang, Sharut Gupta, Caroline Uhler, Tommi S. Jaakkola