Zhou, Yifan

22 publications

TMLR 2026 The Landscape of Agentic Reinforcement Learning for LLMs: A Survey Guibin Zhang, Hejia Geng, Xiaohang Yu, Zhenfei Yin, Zaibin Zhang, Zelin Tan, Heng Zhou, Zhong-Zhi Li, Xiangyuan Xue, Yijiang Li, Yifan Zhou, Yang Chen, Chen Zhang, Yutao Fan, Zihu Wang, Songtao Huang, Francisco Piedrahita Velez, Yue Liao, Hongru Wang, Mengyue Yang, Heng Ji, Jun Wang, Shuicheng Yan, Philip Torr, Lei Bai

CVPR 2025 Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space Yifan Zhou, Zeqi Xiao, Shuai Yang, Xingang Pan

NeurIPS 2025 CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing Yifan Zhou, Tianshi Xu, Jue Hong, Ye Wu, Meng Li

ICLR 2025 Empowering Users in Digital Privacy Management Through Interactive LLM-Based Agents Bolun Sun, Yifan Zhou, Haiyun Jiang

ICCV 2025 FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing Tianyi Wei, Yifan Zhou, Dongdong Chen, Xingang Pan

ICCV 2025 Outdoor Monocular SLAM with Global Scale-Consistent 3D Gaussian Pointmaps Chong Cheng, Sicheng Yu, Zijian Wang, Yifan Zhou, Hao Wang

NeurIPS 2025 Prompted Policy Search: Reinforcement Learning Through Linguistic and Numerical Reasoning in LLMs Yifan Zhou, Sachin Grover, Mohamed El Mistiri, Kamalesh Kalirathinam, Pratyush Kerhalkar, Swaroop Mishra, Neelesh Kumar, Sanket Gaurav, Oya Aran, Heni Ben Amor

AAAI 2025 Rebalancing Multi-Label Class-Incremental Learning Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Junzhou Xie, Yixi Shen, Fuyuan Hu, Guangcan Liu

ICCV 2025 TokensGen: Harnessing Condensed Tokens for Long Video Generation Wenqi Ouyang, Zeqi Xiao, Danni Yang, Yifan Zhou, Shuai Yang, Lei Yang, Jianlou Si, Xingang Pan

ICLR 2025 Trajectory Attention for Fine-Grained Video Motion Control Zeqi Xiao, Wenqi Ouyang, Yifan Zhou, Shuai Yang, Lei Yang, Jianlou Si, Xingang Pan

NeurIPS 2025 WorldMem: Long-Term Consistent World Simulation with Memory Zeqi Xiao, Yushi Lan, Yifan Zhou, Wenqi Ouyang, Shuai Yang, Yanhong Zeng, Xingang Pan

ICLR 2024 AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang

ECCV 2024 BAGS: Blur Agnostic Gaussian Splatting Through Multi-Scale Kernel Modeling Cheng Peng, Yutao Tang, Yifan Zhou, Nengyu Wang, Xijun Liu, Deming Li, Rama Chellappa

JMLR 2024 Cluster-Adaptive Network A/B Testing: From Randomization to Estimation Yang Liu, Yifan Zhou, Ping Li, Feifang Hu

ECCV 2024 Confidence Self-Calibration for Multi-Label Class-Incremental Learning Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Chen Lu, Guangcan Liu

CVPR 2024 Dense Vision Transformer Compression with Few Samples Hanxiao Zhang, Yifan Zhou, Guo-Hua Wang

CVPR 2024 DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing Kaiwen Zhang, Yifan Zhou, Xudong Xu, Bo Dai, Xingang Pan

CVPR 2024 FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation Shuai Yang, Yifan Zhou, Ziwei Liu, Chen Change Loy

NeurIPS 2024 Video Diffusion Models Are Training-Free Motion Interpreter and Controller Zeqi Xiao, Yifan Zhou, Shuai Yang, Xingang Pan

CoRL 2023 $α$-MDF: An Attention-Based Multimodal Differentiable Filter for Robot State Estimation Xiao Liu, Yifan Zhou, Shuhei Ikemoto, Heni Ben Amor

AISTATS 2022 Adaptive A/B Test on Networks with Cluster Structures Yang Liu, Yifan Zhou, Ping Li, Feifang Hu

CoRL 2022 Modularity Through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation Yifan Zhou, Shubham Sonawani, Mariano Phielipp, Simon Stepputtis, Heni Amor