Yihao Xue - RankMe

30 papers A* 7A 1Journal 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond What Seems Necessary: Hidden Gains from Scaling Training-Time Reasoning Length under Outcome Supervision. CoRR Yihao Xue, Allan Zhang, Jianhao Huang, Amit Sahai, Baharan Mirzasoleiman
2026	J	`jnl`	CoWS: Self-Supervised Representation Pre-Training for Cross-Machine Fault Diagnosis. IEEE Trans. Emerg. Top. Comput. Intell. Xiaohan Chen, Rui Yang, Yihao Xue, Zidong Wang
2026	J	`jnl`	Dual Attention-Guided Ensemble Framework for High-Speed Train Fault Diagnosis: Optimizing Multiscale Features From Multiple Sensors. IEEE Trans. Intell. Transp. Syst. Yihao Xue, Rui Yang, Xiaohan Chen, Yifan Zhan, Baoye Song, Zidong Wang
2025	J	`jnl`	LoRA is All You Need for Safety Alignment of Reasoning LLMs. CoRR Yihao Xue, Baharan Mirzasoleiman
2025	A*	`conf`	Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions. ICML Yihao Xue, Jiping Li, Baharan Mirzasoleiman
2025	J	`jnl`	Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions. CoRR Yihao Xue, Jiping Li, Baharan Mirzasoleiman
2025	J	`jnl`	Separable Convolutional Network-Based Fault Diagnosis for High-Speed Train: A Gossip Strategy-Based Optimization Approach. IEEE Trans. Ind. Informatics Yihao Xue, Rui Yang, Xiaohan Chen, Baoye Song, Zidong Wang
2025	J	`jnl`	Verify when Uncertain: Beyond Self-Consistency in Black Box Hallucination Detection. CoRR Yihao Xue, Kristjan H. Greenewald, Youssef Mroueh, Baharan Mirzasoleiman
2024	J	`jnl`	A Review on Transferability Estimation in Deep Transfer Learning. IEEE Trans. Artif. Intell. Yihao Xue, Rui Yang, Xiaohan Chen, Weibo Liu, Zidong Wang, Xiaohui Liu
2024	A*	`conf`	Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings. ICML Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman
2024	A*	`conf`	Investigating the Benefits of Projection Head for Representation Learning. ICLR Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman
2024	J	`jnl`	Investigating the Benefits of Projection Head for Representation Learning. CoRR Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman
2024	A	`conf`	Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise. UAI Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman
2024	A*	`conf`	Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift. ICLR Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman
2023	J	`jnl`	A Novel Local Binary Temporal Convolutional Neural Network for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. Yihao Xue, Rui Yang, Xiaohan Chen, Zhongbei Tian, Zidong Wang
2023	J	`jnl`	A novel momentum prototypical neural network to cross-domain fault diagnosis for rotating machinery subject to cold-start. Neurocomputing Xiaohan Chen, Rui Yang, Yihao Xue, Chao Yang, Baoye Song, Maiying Zhong
2023	J	`jnl`	Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016. IEEE Trans. Instrum. Meas. Xiaohan Chen, Rui Yang, Yihao Xue, Mengjie Huang, Roberto Ferrero, Zidong Wang
2023	J	`jnl`	Eliminating Spurious Correlations from Pre-trained Models via Data Mixing. CoRR Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman
2023	J	`jnl`	Towards Mitigating Spurious Correlations in the Wild: A Benchmark & a more Realistic Dataset. CoRR Siddharth Joshi, Yu Yang, Yihao Xue, Wenhan Yang, Baharan Mirzasoleiman
2023	J	`jnl`	Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift. CoRR Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman
2023	A*	`conf`	Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. ICML Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman
2023	J	`jnl`	Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. CoRR Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman
2022	J	`jnl`	Investigating Why Contrastive Learning Benefits Robustness Against Label Noise. CoRR Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman
2022	A*	`conf`	Investigating Why Contrastive Learning Benefits Robustness against Label Noise. ICML Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman
2022	J	`jnl`	Polyphonic music generation generative adversarial network with Markov decision process. Multim. Tools Appl. Wenkai Huang, Yihao Xue, Zefeng Xu, Guanglong Peng, Yu Wu
2022	J	`jnl`	Superior generalization of smaller models in the presence of significant label noise. CoRR Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman
2021	J	`jnl`	Successive Over Relaxation Recurrent Confidence Inference Network Based on Linear Extrapolation. IEEE Access Wenkai Huang, Yihao Xue, Zefeng Xu, Lingkai Hu
2021	A*	`conf`	Toward Understanding the Influence of Individual Clients in Federated Learning. AAAI Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lyu, Fan Wu, Guihai Chen
2020	J	`jnl`	S-EEGNet: Electroencephalogram Signal Classification Based on a Separable Convolution Neural Network With Bilinear Interpolation. IEEE Access Wenkai Huang, Yihao Xue, Lingkai Hu, Hantang Liuli
2020	J	`jnl`	Toward Understanding the Influence of Individual Clients in Federated Learning. CoRR Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lv, Fan Wu, Guihai Chen