Wang, Ruochen

18 publications

NeurIPS 2025 Don’t Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Sohyun An, Ruochen Wang, Tianyi Zhou, Cho-Jui Hsieh

ICLR 2025 Is Your Multimodal Language Model Oversensitive to Safe Queries? Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh

ICLR 2025 Large Language Models Are Interpretable Learners Ruochen Wang, Si Si, Felix Yu, Dorothea Wiesmann Rothuizen, Cho-Jui Hsieh, Inderjit S Dhillon

ICLR 2025 The Crystal Ball Hypothesis in Diffusion Models: Anticipating Object Positions from Initial Noise Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng

ICML 2024 Ameliorate Spurious Correlations in Dataset Condensation Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui Hsieh

ICML 2024 On Discrete Prompt Optimization for Diffusion Models Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong

ICML 2024 One Prompt Is Not Enough: Automated Construction of a Mixture-of-Expert Prompts Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh

ECCV 2024 When and How Do Negative Prompts Take Effect? Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh

CVPR 2023 FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh

ICML 2023 Scaling up Dataset Distillation to ImageNet-1k with Constant Memory Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh

NeurIPS 2022 DC-BENCH: Dataset Condensation Benchmark Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh

NeurIPS 2022 Efficient Non-Parametric Optimizer Search for Diverse Tasks Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh

NeurIPSW 2022 FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh

ICLR 2022 Generalizing Few-Shot NAS with Gradient Matching Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng

ICLR 2022 Learning to Schedule Learning Rate with Graph Neural Networks Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh

ICLR 2021 DrNAS: Dirichlet Neural Architecture Search Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh

ICCV 2021 RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh

ICLR 2021 Rethinking Architecture Selection in Differentiable NAS Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh