Yifei Wang - RankMe

108 papers A* 41B 1C 1Journal 64Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Autoregressive Models Rival Diffusion Models at ANY-ORDER Generation. CoRR Tianqi Du, Lizhe Fang, Weijie Yang, Chenheng Zhang, Zeming Wei, Yifei Wang, Yisen Wang
2026	J	`jnl`	CSRv2: Unlocking Ultra-Sparse Embeddings. CoRR Lixuan Guo, Yifei Wang, Tiansheng Wen, Yifan Wang, Aosong Feng, Bo Chen, Stefanie Jegelka, Chenyu You
2026	J	`jnl`	SAE as a Crystal Ball: Interpretable Features Predict Cross-domain Transferability of LLMs without Training. CoRR Qi Zhang, Yifei Wang, Xiaohan Wang, Jiajun Chai, Guojun Yin, Wei Lin, Yisen Wang
2026	J	`jnl`	Scaling Attention via Feature Sparsity. CoRR Yan Xie, Tiansheng Wen, Tangda Huang, Bo Chen, Chenyu You, Stefanie Jegelka, Yifei Wang
2025	J	`jnl`	An Augmentation Overlap Theory of Contrastive Learning. CoRR Qi Zhang, Yifei Wang, Yisen Wang
2025	J	`jnl`	An Augmentation Overlap Theory of Contrastive Learning. J. Mach. Learn. Res. Qi Zhang, Yifei Wang, Yisen Wang
2025	J	`jnl`	Are Smarter LLMs Safer? Exploring Safety-Reasoning Trade-offs in Prompting and Fine-Tuning. CoRR Ang Li, Yichuan Mo, Mingjie Li, Yifei Wang, Yisen Wang
2025	A*	`conf`	Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness. ICLR Qi Zhang, Yifei Wang, Jingyi Cui, Xiang Pan, Qi Lei, Stefanie Jegelka, Yisen Wang
2025	A*	`conf`	Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation. ICML Tiansheng Wen, Yifei Wang, Zequn Zeng, Zhong Peng, Yudi Su, Xinyang Liu, Bo Chen, Hongwei Liu, Stefanie Jegelka, Chenyu You
2025	J	`jnl`	Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation. CoRR Tiansheng Wen, Yifei Wang, Zequn Zeng, Zhong Peng, Yudi Su, Xinyang Liu, Bo Chen, Hongwei Liu, Stefanie Jegelka, Chenyu You
2025	A*	`conf`	Can In-context Learning Really Generalize to Out-of-distribution Tasks? ICLR Qixun Wang, Yifei Wang, Xianghua Ying, Yisen Wang
2025	J	`jnl`	G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning. CoRR Xiaojun Guo, Ang Li, Yifei Wang, Stefanie Jegelka, Yisen Wang
2025	J	`jnl`	LANPO: Bootstrapping Language and Numerical Feedback for Reinforcement Learning in LLMs. CoRR Ang Li, Yifei Wang, Zhihang Yuan, Stefanie Jegelka, Yisen Wang
2025	J	`jnl`	Language Ranker: A Lightweight Ranking framework for LLM Decoding. CoRR Chenheng Zhang, Tianqi Du, Jizhe Zhang, Mingqing Xiao, Yifei Wang, Yisen Wang, Zhouchen Lin
2025	A*	`conf`	Long-Short Alignment for Effective Long-Context Modeling in LLMs. ICML Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang
2025	J	`jnl`	Long-Short Alignment for Effective Long-Context Modeling in LLMs. CoRR Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang
2025	J	`jnl`	Monet: Reasoning in Latent Visual Space Beyond Images and Language. CoRR Qixun Wang, Yang Shi, Yifei Wang, Yuanxing Zhang, Pengfei Wan, Kun Gai, Xianghua Ying, Yisen Wang
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	A*	`conf`	On the Emergence of Position Bias in Transformers. ICML Xinyi Wu, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie
2025	J	`jnl`	On the Emergence of Position Bias in Transformers. CoRR Xinyi Wu, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie
2025	J	`jnl`	On the Theoretical Understanding of Identifiable Sparse Autoencoders and Beyond. CoRR Jingyi Cui, Qi Zhang, Yifei Wang, Yisen Wang
2025	A*	`conf`	Projection Head is Secretly an Information Bottleneck. ICLR Zhuo Ouyang, Kaiwen Hu, Qi Zhang, Yifei Wang, Yisen Wang
2025	J	`jnl`	Projection Head is Secretly an Information Bottleneck. CoRR Zhuo Ouyang, Kaiwen Hu, Qi Zhang, Yifei Wang, Yisen Wang
2025	A*	`conf`	Rethinking Invariance in In-context Learning. ICLR Lizhe Fang, Yifei Wang, Khashayar Gatmiry, Lei Fang, Yisen Wang
2025	J	`jnl`	Rethinking Invariance in In-context Learning. CoRR Lizhe Fang, Yifei Wang, Khashayar Gatmiry, Lei Fang, Yisen Wang
2025	J	`jnl`	Route Experts by Sequence, not by Token. CoRR Tiansheng Wen, Yifei Wang, Aosong Feng, Long Ma, Xinyang Liu, Yifan Wang, Lixuan Guo, Bo Chen, Stefanie Jegelka, Chenyu You
2025	J	`jnl`	SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning. CoRR Xiaojun Guo, Runyu Zhou, Yifei Wang, Qi Zhang, Chenheng Zhang, Stefanie Jegelka, Xiaohan Wang, Jiajun Chai, Guojun Yin, Wei Lin, Yisen Wang
2025	A*	`conf`	What is Wrong with Perplexity for Long-context Language Modeling? ICLR Lizhe Fang, Yifei Wang, Zhaoyang Liu, Chenheng Zhang, Stefanie Jegelka, Jinyang Gao, Bolin Ding, Yisen Wang
2025	J	`jnl`	When More is Less: Understanding Chain-of-Thought Length in LLMs. CoRR Yuyang Wu, Yifei Wang, Tianqi Du, Stefanie Jegelka, Yisen Wang
2024	A*	`conf`	A Canonicalization Perspective on Invariant and Equivariant Learning. NeurIPS George Ma, Yifei Wang, Derek Lim, Stefanie Jegelka, Yisen Wang
2024	J	`jnl`	A Canonization Perspective on Invariant and Equivariant Learning. CoRR George Ma, Yifei Wang, Derek Lim, Stefanie Jegelka, Yisen Wang
2024	A*	`conf`	A Theoretical Understanding of Self-Correction through In-context Alignment. NeurIPS Yifei Wang, Yuyang Wu, Zeming Wei, Stefanie Jegelka, Yisen Wang
2024	J	`jnl`	A Theoretical Understanding of Self-Correction through In-context Alignment. CoRR Yifei Wang, Yuyang Wu, Zeming Wei, Stefanie Jegelka, Yisen Wang
2024	J	`jnl`	Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness. CoRR Qi Zhang, Yifei Wang, Jingyi Cui, Xiang Pan, Qi Lei, Stefanie Jegelka, Yisen Wang
2024	J	`jnl`	Can In-context Learning Really Generalize to Out-of-distribution Tasks? CoRR Qixun Wang, Yifei Wang, Yisen Wang, Xianghua Ying
2024	J	`jnl`	Contrastive Factor Analysis. CoRR Zhibin Duan, Tiansheng Wen, Yifei Wang, Chen Zhu, Bo Chen, Mingyuan Zhou
2024	A*	`conf`	Dissecting the Failure of Invariant Learning on Graphs. NeurIPS Qixun Wang, Yifei Wang, Yisen Wang, Xianghua Ying
2024	J	`jnl`	Dissecting the Failure of Invariant Learning on Graphs. CoRR Qixun Wang, Yifei Wang, Yisen Wang, Xianghua Ying
2024	A*	`conf`	Do Generated Data Always Help Contrastive Learning? ICLR Yifei Wang, Jizhe Zhang, Yisen Wang
2024	J	`jnl`	Do Generated Data Always Help Contrastive Learning? CoRR Yifei Wang, Jizhe Zhang, Yisen Wang
2024	C	`conf`	Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing. ACML Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang
2024	J	`jnl`	How to Craft Backdoors with Unlabeled Data Alone? CoRR Yifei Wang, Wenhan Ma, Stefanie Jegelka, Yisen Wang
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`	Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining. ICML Qi Zhang, Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang
2024	J	`jnl`	Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining. CoRR Qi Zhang, Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang
2024	A*	`conf`	Non-negative Contrastive Learning. ICLR Yifei Wang, Qi Zhang, Yaoyu Guo, Yisen Wang
2024	J	`jnl`	Non-negative Contrastive Learning. CoRR Yifei Wang, Qi Zhang, Yaoyu Guo, Yisen Wang
2024	A*	`conf`	On the Role of Attention Masks and LayerNorm in Transformers. NeurIPS Xinyi Wu, Amir Ajorlou, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie
2024	J	`jnl`	On the Role of Attention Masks and LayerNorm in Transformers. CoRR Xinyi Wu, Amir Ajorlou, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie
2024	A*	`conf`	On the Role of Discrete Tokenization in Visual Representation Learning. ICLR Tianqi Du, Yifei Wang, Yisen Wang
2024	J	`jnl`	On the Role of Discrete Tokenization in Visual Representation Learning. CoRR Tianqi Du, Yifei Wang, Yisen Wang
2024	A*	`conf`	Understanding the Role of Equivariance in Self-supervised Learning. NeurIPS Yifei Wang, Kaiwen Hu, Sharut Gupta, Ziyu Ye, Yisen Wang, Stefanie Jegelka
2024	J	`jnl`	Understanding the Role of Equivariance in Self-supervised Learning. CoRR Yifei Wang, Kaiwen Hu, Sharut Gupta, Ziyu Ye, Yisen Wang, Stefanie Jegelka
2024	J	`jnl`	What is Wrong with Perplexity for Long-context Language Modeling? CoRR Lizhe Fang, Yifei Wang, Zhaoyang Liu, Chenheng Zhang, Stefanie Jegelka, Jinyang Gao, Bolin Ding, Yisen Wang
2023	A*	`conf`	A Message Passing Perspective on Learning Dynamics of Contrastive Learning. ICLR Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang
2023	J	`jnl`	A Message Passing Perspective on Learning Dynamics of Contrastive Learning. CoRR Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang
2023	A*	`conf`	Adversarial Examples Are Not Real Features. NeurIPS Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang
2023	J	`jnl`	Adversarial Examples Are Not Real Features. CoRR Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang
2023	A*	`conf`	Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning. NeurIPS Xiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang
2023	J	`jnl`	Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning. CoRR Xiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang
2023	A*	`conf`	Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective. NeurIPS Yifei Wang, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang
2023	J	`jnl`	Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective. CoRR Yifei Wang, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang
2023	A*	`conf`	CFA: Class-Wise Calibrated Fair Adversarial Training. CVPR Zeming Wei, Yifei Wang, Yiwen Guo, Yisen Wang
2023	J	`jnl`	CFA: Class-wise Calibrated Fair Adversarial Training. CoRR Zeming Wei, Yifei Wang, Yiwen Guo, Yisen Wang
2023	A*	`conf`	ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond. ICLR Xiaojun Guo, Yifei Wang, Tianqi Du, Yisen Wang
2023	J	`jnl`	ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond. CoRR Xiaojun Guo, Yifei Wang, Tianqi Du, Yisen Wang
2023	J	`jnl`	Equilibrium Image Denoising With Implicit Differentiation. IEEE Trans. Image Process. Qi Chen, Yifei Wang, Zhengyang Geng, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2023	A*	`conf`	Identifiable Contrastive Learning with Automatic Feature Importance Discovery. NeurIPS Qi Zhang, Yifei Wang, Yisen Wang
2023	J	`jnl`	Identifiable Contrastive Learning with Automatic Feature Importance Discovery. CoRR Qi Zhang, Yifei Wang, Yisen Wang
2023	J	`jnl`	Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations. CoRR Zeming Wei, Yifei Wang, Yisen Wang
2023	A*	`conf`	Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding. NeurIPS George Ma, Yifei Wang, Yisen Wang
2023	J	`jnl`	Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding. CoRR Jiangyan Ma, Yifei Wang, Yisen Wang
2023	A*	`conf`	On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization. AAAI Shiji Xin, Yifei Wang, Jingtong Su, Yisen Wang
2023	A*	`conf`	On the Generalization of Multi-modal Contrastive Learning. ICML Qi Zhang, Yifei Wang, Yisen Wang
2023	J	`jnl`	On the Generalization of Multi-modal Contrastive Learning. CoRR Qi Zhang, Yifei Wang, Yisen Wang
2023	A*	`conf`	Rethinking Weak Supervision in Helping Contrastive Learning. ICML Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang
2023	J	`jnl`	Rethinking Weak Supervision in Helping Contrastive Learning. CoRR Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang
2023	A*	`conf`	Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning. ICLR Rundong Luo, Yifei Wang, Yisen Wang
2023	J	`jnl`	Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning. CoRR Rundong Luo, Yifei Wang, Yisen Wang
2023	J	`jnl`	Robust Long-Tailed Learning via Label-Aware Bounded CVaR. CoRR Hong Zhu, Runpeng Yu, Xing Tang, Yifei Wang, Yuan Fang, Yisen Wang
2023	J	`jnl`	Towards Control-Centric Representations in Reinforcement Learning from Images. CoRR Chen Liu, Hongyu Zang, Xin Li, Yong Heng, Yifei Wang, Zhen Fang, Yisen Wang, Mingzhong Wang
2023	A*	`conf`	Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism. ICLR Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang
2023	J	`jnl`	Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism. CoRR Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang
2023	A*	`conf`	Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States. ICLR Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin
2022	A*	`conf`	A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training. ICLR Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2022	J	`jnl`	A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training. CoRR Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2022	A*	`conf`	Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap. ICLR Yifei Wang, Qi Zhang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2022	J	`jnl`	Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap. CoRR Yifei Wang, Qi Zhang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2022	B	`conf`	Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium. IEEE Big Data Qi Chen, Yifei Wang, Yisen Wang, Jianlong Chang, Qi Tian, Jiansheng Yang, Zhouchen Lin
2022	A*	`conf`	G ICML Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin
2022	A*	`conf`	How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders. NeurIPS Qi Zhang, Yifei Wang, Yisen Wang
2022	J	`jnl`	How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders. CoRR Qi Zhang, Yifei Wang, Yisen Wang
2022	A*	`conf`	Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors. NeurIPS Qixun Wang, Yifei Wang, Hong Zhu, Yisen Wang
2022	J	`jnl`	Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors. CoRR Qixun Wang, Yifei Wang, Hong Zhu, Yisen Wang
2022	J	`jnl`	On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization. CoRR Shiji Xin, Yifei Wang, Jingtong Su, Yisen Wang
2022	A*	`conf`	Optimization-Induced Graph Implicit Nonlinear Diffusion. ICML Qi Chen, Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2022	J	`jnl`	Optimization-Induced Graph Implicit Nonlinear Diffusion. CoRR Qi Chen, Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2022	A*	`conf`	When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. NeurIPS Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang
2022	J	`jnl`	When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. CoRR Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang
2021	A*	`conf`	Dissecting the Diffusion Process in Linear Graph Convolutional Networks. NeurIPS Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2021	J	`jnl`	Dissecting the Diffusion Process in Linear Graph Convolutional Networks. CoRR Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2021	J	`jnl`	Fooling Adversarial Training with Inducing Noise. CoRR Zhirui Wang, Yifei Wang, Yisen Wang
2021	—	`conf`	Reparameterized Sampling for Generative Adversarial Networks. ECML/PKDD (3) Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2021	J	`jnl`	Reparameterized Sampling for Generative Adversarial Networks. CoRR Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2021	A*	`conf`	Residual Relaxation for Multi-view Representation Learning. NeurIPS Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2021	J	`jnl`	Residual Relaxation for Multi-view Representation Learning. CoRR Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2020	J	`jnl`	Decoder-free Robustness Disentanglement without (Additional) Supervision. CoRR Yifei Wang, Dan Peng, Furui Liu, Zhenguo Li, Zhitang Chen, Jiansheng Yang