Zhang, Yifei

48 publications

JAIR 2026 T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems Ming Wang, Daling Wang, Wenfang Wu, Shi Feng, Yifei Zhang
CVPR 2025 BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning Hao Zhu, Yifei Zhang, Junhao Dong, Piotr Koniusz
ICLR 2025 Can Watermarked LLMs Be Identified by Users via Crafted Prompts? Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu
ICML 2025 CoSER: Coordinating LLM-Based Persona Simulation of Established Roles Xintao Wang, Heng Wang, Yifei Zhang, Xinfeng Yuan, Rui Xu, Jen-Tse Huang, Siyu Yuan, Haoran Guo, Jiangjie Chen, Shuchang Zhou, Wei Wang, Yanghua Xiao
CVPR 2025 Continuous 3D Perception Model with Persistent State Qianqian Wang, Yifei Zhang, Aleksander Holynski, Alexei A. Efros, Angjoo Kanazawa
NeurIPS 2025 CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning Yifei Zhang, Hao Zhu, Junhao Dong, Haoran Shi, Ziqiao Meng, Piotr Koniusz, Han Yu
NeurIPS 2025 Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies Yankai Chen, Xinni Zhang, Yifei Zhang, Yangning Li, Henry Peng Zou, Chunyu Miao, Weizhi Zhang, Xue Liu, Philip S. Yu
CVPR 2025 Exploring Sparse MoE in GANs for Text-Conditioned Image Synthesis Jiapeng Zhu, Ceyuan Yang, Kecheng Zheng, Yinghao Xu, Zifan Shi, Yifei Zhang, Qifeng Chen, Yujun Shen
ICML 2025 Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-Form Alignment of Adversarial Path Simplices Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong
ICCV 2025 LEGO-Maker: A Semantic-Driven Algorithm for Text-to-3D Generation Yifei Zhang, Lei Chen
CVPR 2025 Learning Visual Generative Priors Without Text Shuailei Ma, Kecheng Zheng, Ying Wei, Wei Wu, Fan Lu, Yifei Zhang, Chen-Wei Xie, Biao Gong, Jiapeng Zhu, Yujun Shen
CVPR 2025 Linguistics-Aware Masked Image Modeling for Self-Supervised Scene Text Recognition Yifei Zhang, Chang Liu, Jin Wei, Xiaomeng Yang, Yu Zhou, Can Ma, Xiangyang Ji
NeurIPS 2025 Machine Unlearning via Task Simplex Arithmetic Junhao Dong, Hao Zhu, Yifei Zhang, Xinghua Qu, Yew-Soon Ong, Piotr Koniusz
ICML 2025 NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao
ICCV 2025 Robustifying Zero-Shot Vision Language Models by Subspaces Alignment Junhao Dong, Piotr Koniusz, Liaoyuan Feng, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong
ICCV 2025 Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning Hung-Chieh Fang, Hsuan-Tien Lin, Irwin King, Yifei Zhang
NeurIPS 2025 TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets Yuzhe Yang, Yifei Zhang, Minghao Wu, Kaidi Zhang, Yunmiao Zhang, Honghai Yu, Yan Hu, Benyou Wang
ICLRW 2025 TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets Yuzhe Yang, Yifei Zhang, Minghao Wu, Kaidi Zhang, Yunmiao Zhang, Honghai Yu, Yan Hu, Benyou Wang
CVPR 2025 pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation Yifei Zhang, Hao Zhu, Alysa Ziying Tan, Dianzhi Yu, Longtao Huang, Han Yu
IJCAI 2024 A Systematic Survey on Federated Semi-Supervised Learning Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King
ECML-PKDD 2024 A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation Yongkang Liu, Ercong Nie, Shi Feng, Zheng Hua, Zifeng Ding, Daling Wang, Yifei Zhang, Hinrich Schütze
NeurIPS 2024 Dual-Frame Fluid Motion Estimation with Test-Time Optimization and Zero-Divergence Loss Yifei Zhang, Huan-ang Gao, Zhou Jiang, Hao Zhao
ECCV 2024 Exploring Guided Sampling of Conditional GANs Yifei Zhang, Mengfei Xia, Yujun Shen, Jiapeng Zhu, Ceyuan Yang, Kecheng Zheng, Lianghua Huang, Yu Liu, Fan Cheng
CVPR 2024 FastMAC: Stochastic Spectral Sampling of Correspondence Graph Yifei Zhang, Hao Zhao, Hongyang Li, Siheng Chen
ECCV 2024 Language-Image Pre-Training with Long Captions Kecheng Zheng, Yifei Zhang, Wei Wu, Fan Lu, Shuailei Ma, Xin Jin, Wei Chen, Yujun Shen
ICLR 2024 Lipschitz Singularities in Diffusion Models Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng
NeurIPS 2024 LoTLIP: Improving Language-Image Pre-Training for Long Text Understanding Wei Wu, Kecheng Zheng, Shuailei Ma, Fan Lu, Yuxin Guo, Yifei Zhang, Wei Chen, Qingpei Guo, Yujun Shen, Zheng-Jun Zha
NeurIPSW 2024 Parrot: Autoregressive Spoken Dialogue Language Modeling with Decoder-Only Transformers Ziqiao Meng, Qichao Wang, Wenqian Cui, Yifei Zhang, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao
CoRL 2024 Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning Yixiao Wang, Yifei Zhang, Mingxiao Huo, Thomas Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka
IJCAI 2024 Visual Attention Prompted Prediction and Learning Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao
ICML 2023 Cones: Concept Neurons in Diffusion Models for Customized Generation Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao
NeurIPS 2023 Customizable Image Synthesis with Multiple Subjects Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao
CVPR 2023 Dimensionality-Varying Diffusion Process Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng
AAAI 2023 Graph Component Contrastive Learning for Concept Relatedness Estimation Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King
ICMLW 2023 Incremental Low-Rank Learning Jiawei Zhao, Yifei Zhang, Beidi Chen, Florian Tobias Schaefer, Anima Anandkumar
AAAI 2023 Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling Yifei Zhang, Neng Gao, Cunqing Ma
ICCV 2023 MAGI: Multi-Annotated Explanation-Guided Learning Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao
NeurIPS 2023 Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King
NeurIPS 2023 No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning Zixing Song, Yifei Zhang, Irwin King
NeurIPS 2023 Optimal Block-Wise Asymmetric Graph Construction for Graph-Based Semi-Supervised Learning Zixing Song, Yifei Zhang, Irwin King
L4DC 2023 Sample Complexity Bound for Evaluating the Robust Observer’s Performance Under Coprime Factors Uncertainty Serban Sabau, Yifei Zhang, Sourav Kumar Ukil
AAAI 2023 Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
L4DC 2022 Sample Complexity of the Robust LQG Regulator with Coprime Factors Uncertainty Yifei Zhang, Sourav Ukil, Ephraim Neimand, Serban Sabau, Myron Hohil
AAAI 2021 A Graph Reasoning Network for Multi-Turn Response Selection via Customized Pre-Training Yongkang Liu, Shi Feng, Daling Wang, Kaisong Song, Feiliang Ren, Yifei Zhang
IJCAI 2020 EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness Shifeng Li, Shi Feng, Daling Wang, Kaisong Song, Yifei Zhang, Weichao Wang
CVPRW 2019 Feature Hourglass Network for Skeleton Detection Nan Jiang, Yifei Zhang, Dezhao Luo, Chang Liu, Yu Zhou, Zhenjun Han
CVPRW 2019 Parametric Skeleton Generation via Gaussian Mixture Models Chang Liu, Dezhao Luo, Yifei Zhang, Wei Ke, Fang Wan, Qixiang Ye
CVPRW 2019 Spatio-Temporal Consistency and Hierarchical Matching for Multi-Target Multi-Camera Vehicle Tracking Peilun Li, Guozhen Li, Zhangxi Yan, Youzeng Li, Meiqi Lu, Pengfei Xu, Yang Gu, Bing Bai, Yifei Zhang