Weicheng Zhu - RankMe

22 papers A* 3Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference. EACL (Findings) Zheyuan Zhang, Lin Ge, Hongjiang Li, Weicheng Zhu, Chuxu Zhang, Yanfang Ye
2026	J	`jnl`	Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction. CoRR Haresh Rengaraj Rajamohan, Xiang Gao, Weicheng Zhu, Shih-Lun Huang, Long Chen, Gabe Schulman, Huizhen Jin, Shengduo Li, Yixuan Wang, Huidi Yang, Kyunghyun Cho, Cem M. Deniz, Narges Razavian
2025	J	`jnl`	3D Foundation AI Model for Generalizable Disease Detection in Head Computed Tomography. CoRR Weicheng Zhu, Haoxu Huang, Huanze Tang, Rushabh Musthyala, Boyang Yu, Long Chen, Emilio Vega, Thomas O'Donnell, Seena Dehkharghani, Jennifer A. Frontera, Arjun V. Masurkar, Kara Melmed, Narges Razavian
2025	J	`jnl`	Foundation Models for Clinical Records at Health System Scale. CoRR Haresh Rengaraj Rajamohan, Xiang Gao, Weicheng Zhu, Shih-Lun Huang, Long Chen, Kyunghyun Cho, Cem M. Deniz, Narges Razavian
2025	J	`jnl`	MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference. CoRR Zheyuan Zhang, Lin Ge, Hongjiang Li, Weicheng Zhu, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling. Trans. Mach. Learn. Res. Weicheng Zhu, Sheng Liu, Carlos Fernandez-Granda, Narges Razavian
2025	J	`jnl`	StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering. CoRR Zhihao Wen, Wenkang Wei, Yuan Fang, Xingtong Yu, Hui Zhang, Weicheng Zhu, Xin Zhang
2024	J	`jnl`	A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction. CoRR Qidong Yang, Weicheng Zhu, Joseph Keslin, Laure Zanna, Tim G. J. Rudner, Carlos Fernandez-Granda
2023	J	`jnl`	Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling. CoRR Weicheng Zhu, Sheng Liu, Carlos Fernandez-Granda, Narges Razavian
2023	A*	`conf`	Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CVPR Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
2022	A*	`conf`	Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. CVPR Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda
2022	A*	`conf`	Deep Probability Estimation. ICML Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda
2022	—	`conf`	Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning. MIDL Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian
2022	J	`jnl`	Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning. CoRR Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian
2022	J	`jnl`	Motion planning in complex urban environments: An industrial application on autonomous last-mile delivery vehicles. J. Field Robotics Haiming Wang, Liangliang Zhang, Qi Kong, Weicheng Zhu, Jie Zheng, Li Zhuang, Xin Xu
2022	J	`jnl`	Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CoRR Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
2021	J	`jnl`	Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. CoRR Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda
2021	J	`jnl`	Deep Probability Estimation. CoRR Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda
2021	—	`conf`	Variationally regularized graph-based representation learning for electronic health records. CHIL Weicheng Zhu, Narges Razavian
2019	J	`jnl`	Graph Neural Network on Electronic Health Records for Predicting Alzheimer's Disease. CoRR Weicheng Zhu, Narges Razavian
2018	J	`jnl`	Baidu Apollo EM Motion Planner. CoRR Haoyang Fan, Fan Zhu, Changchun Liu, Liangliang Zhang, Li Zhuang, Dong Li, Weicheng Zhu, Jiangtao Hu, Hongye Li, Qi Kong
2016	J	`jnl`	Variational hybridization and transformation for large inaccurate noisy-or networks. CoRR Yusheng Xie, Nan Du, Wei Fan, Jing Zhai, Weicheng Zhu