Weitong Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
13
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Reinforcement Learning Without Explicit Rewards: Theory and Practice. | Weitong Zhang |
| 2025 | CVPR | Image Generation Diversity Issues and How to Tame Them. | Mischa Dombrowski, Weitong Zhang, Sarah Cechnicka, Hadrien Reynaud, Bernhard Kainz |
| 2025 | EMNLP | Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time. | Yifan Lan, Yuanpu Cao, Weitong Zhang, Lu Lin, Jinghui Chen |
| 2025 | ICLR | CREAM: Consistency Regularized Self-Rewarding Language Models. | Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao |
| 2025 | ICLR | Energy-Weighted Flow Matching for Offline Reinforcement Learning. | Shiyuan Zhang, Weitong Zhang, Quanquan Gu |
| 2025 | ICLR | Anyprefer: An Agentic Framework for Preference Data Synthesis. | Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao |
| 2025 | ICML | Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance. | Linxi Zhao, Yihe Deng, Weitong Zhang, Quanquan Gu |
| 2025 | MICCAI | Graph Conditioned Diffusion for Controllable Histopathology Image Generation. | Sarah Cechnicka, Matthew Baugh, Weitong Zhang, Mischa Dombrowski, Zhe Li, Johannes C. Paetzold, Candice Roufosse, Bernhard Kainz |
| 2025 | MICCAI | Mesh4D: A Motion-Aware Multi-view Variational Autoencoder for 3D+t Mesh Reconstruction. | Mengyun Qiao, Jin Zheng, Weitong Zhang, Qiang Ma, Liu Li, Bernhard Kainz, Declan P. O'Regan, Paul M. Matthews, Steven A. Niederer, Wenjia Bai |
| 2025 | MICCAI | Multi-agent Reasoning for Cardiovascular Imaging Phenotype Analysis. | Weitong Zhang, Mengyun Qiao, Chengqi Zang, Steven A. Niederer, Paul M. Matthews, Wenjia Bai, Bernhard Kainz |
| 2024 | ECCV | Data-Efficient Generation for Dataset Distillation. | Zhe Li, Weitong Zhang, Sarah Cechnicka, Bernhard Kainz |
| 2024 | ICLR | Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs. | Kaixuan Ji, Qingyue Zhao, Jiafan He, Weitong Zhang, Quanquan Gu |
| 2024 | ICML | Uncertainty-Aware Reward-Free Exploration with General Function Approximation. | Junkai Zhang, Weitong Zhang, Dongruo Zhou, Quanquan Gu |
| 2024 | IGARSS | Hyperspectral Image Denoising Based on Nonlocal Memory-Augmented Spectral Attention. | Yige Mo, Le Dong, Weitong Zhang, Junpeng Zhang, Weisheng Dong |
| 2024 | MICCAI | Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. | Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz |
| 2024 | WWW | Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. | Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang |
| 2023 | ICML | On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits. | Weitong Zhang, Jiafan He, Zhiyuan Fan, Quanquan Gu |
| 2023 | ICML | Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs. | Junkai Zhang, Weitong Zhang, Quanquan Gu |
| 2023 | MICCAI | LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation. | Berke Doga Basaran, Weitong Zhang, Mengyun Qiao, Bernhard Kainz, Paul M. Matthews, Wenjia Bai |
| 2023 | MICCAI | Robust Segmentation via Topology Violation Detection and Feature Synthesis. | Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz |
| 2023 | MICCAI | M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. | Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci |
| 2023 | MICCAI | MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI. | Weitong Zhang, Berke Doga Basaran, Qingjie Meng, Matthew Baugh, Jonathan K. Stelter, Phillip Lung, Uday Patel, Wenjia Bai, Dimitrios C. Karampinos, Bernhard Kainz |
| 2023 | UAI | Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL. | Weitong Zhang, Jiafan He, Dongruo Zhou, Amy Zhang, Quanquan Gu |
| 2022 | ICLR | Learning Neural Contextual Bandits through Perturbed Rewards. | Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang |
| 2022 | MICCAI | Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. | Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Antonios Makropoulos, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz, Amir Alansary |
| 2021 | ICLR | Neural Thompson Sampling. | Weitong Zhang, Dongruo Zhou, Lihong Li, Quanquan Gu |
| 2018 | ICONIP | Co-consistent Regularization with Discriminative Feature for Zero-Shot Learning. | Yanling Tian, Weitong Zhang, Qieshi Zhang, Jun Cheng, Pengyi Hao, Gang Lu |
| 2018 | IGARSS | SAR Image Change Detection Based on Conditional Spatial and Kernel Fuzzy C-Means. | Weitong Zhang, Ailing Wen, Ronghua Shang, Licheng Jiao |
| 2018 | ICPR | Selective Multi-Convolutional Region Feature Extraction based Iterative Discrimination CNN for Fine-Grained Vehicle Model Recognition. | Yanling Tian, Weitong Zhang, Qieshi Zhang, Gang Lu, Xiaojun Wu |
| 2016 | CEC | On the use of immune clone optimization for unconstrained multi-objective resource allocation in the cognitive OFDMA networks. | Ronghua Shang, Weitong Zhang, Ailing Wen, Kun Zhang, Licheng Jiao |