Weitong Zhang - RankMe

134 papers A* 18A 2B 2C 3Journal 92Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Central point link learning guided sparse dynamic diagonal embedding for feature selection. Pattern Recognit. Ronghua Shang, Jiarui Kong, Weitong Zhang, Yangyang Li
2026	J	`jnl`	Imitation from Observations with Trajectory-Level Generative Embeddings. CoRR Yongtao Qu, Shangzhe Li, Weitong Zhang
2026	J	`jnl`	Large-Scale Multiview Clustering via Joint Learning of Anchor Representation and Multigraph Alignment. IEEE Trans. Neural Networks Learn. Syst. Ronghua Shang, Jingya Liu, Xinyuan Wang, Jingyu Zhong, Weitong Zhang, Songhua Xu
2026	J	`jnl`	Provable and Practical In-Context Policy Optimization for Self-Improvement. CoRR Tianrun Yu, Yuxiao Yang, Zhaoyang Wang, Kaixiang Zhao, Porter Jenkins, Xuchao Zhang, Chetan Bansal, Huaxiu Yao, Weitong Zhang
2026	A*	`conf`	Reinforcement Learning Without Explicit Rewards: Theory and Practice. AAAI Weitong Zhang
2026	J	`jnl`	Your Self-Play Algorithm is Secretly an Adversarial Imitator: Understanding LLM Self-Play through the Lens of Imitation Learning. CoRR Shangzhe Li, Xuchao Zhang, Chetan Bansal, Weitong Zhang
2025	J	`jnl`	A Recipe for Efficient Sim-to-Real Transfer in Manipulation with Online Imitation-Pretrained World Models. CoRR Yilin Wang, Shangzhe Li, Haoyi Niu, Zhiao Huang, Weitong Zhang, Hao Su
2025	J	`jnl`	A lightweight PolSAR image classification algorithm based on multi-scale feature extraction and local spatial information perception. Appl. Soft Comput. Ronghua Shang, Mingwei Hu, Jie Feng, Weitong Zhang, Songhua Xu
2025	J	`jnl`	Adaptive graph clustering based on feature adversarial and graph transformer. Expert Syst. Appl. Weitong Zhang, Xuerong Zhu, Ronghua Shang, Jinhong Ren, Licheng Jiao
2025	A*	`conf`	Anyprefer: An Agentic Framework for Preference Data Synthesis. ICLR 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	J	`jnl`	Anyprefer: An Agentic Framework for Preference Data Synthesis. CoRR 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	J	`jnl`	CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing. CoRR Wenhao Zheng, Yixiao Chen, Weitong Zhang, Souvik Kundu, Yun Li, Zhengzhong Liu, Eric P. Xing, Hongyi Wang, Huaxiu Yao
2025	A*	`conf`	CREAM: Consistency Regularized Self-Rewarding Language Models. ICLR Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao
2025	A*	`conf`	Energy-Weighted Flow Matching for Offline Reinforcement Learning. ICLR Shiyuan Zhang, Weitong Zhang, Quanquan Gu
2025	J	`jnl`	Energy-Weighted Flow Matching for Offline Reinforcement Learning. CoRR Shiyuan Zhang, Weitong Zhang, Quanquan Gu
2025	J	`jnl`	Few-Shot Hyperspectral Image Classification Based on Prototype Mask Contrast and Cross-Stage Feature Refinement. IEEE Trans. Geosci. Remote. Sens. Weitong Zhang, Zihong Wang, Jinhong Ren, Ronghua Shang, Licheng Jiao
2025	J	`jnl`	Few-Shot Learning Based on Embedded Self-Distillation and Adaptive Wasserstein Distance for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Wenjie Li, Shizhe Shang, Ronghua Shang, Dongzhu Feng, Weitong Zhang, Chao Wang, Jie Feng, Songhua Xu
2025	—	`conf`	Graph Conditioned Diffusion for Controllable Histopathology Image Generation. GRAIL/RIME@MICCAI Sarah Cechnicka, Matthew Baugh, Weitong Zhang, Mischa Dombrowski, Zhe Li, Johannes C. Paetzold, Candice Roufosse, Bernhard Kainz
2025	J	`jnl`	Graph Conditioned Diffusion for Controllable Histopathology Image Generation. CoRR Sarah Cechnicka, Matthew Baugh, Weitong Zhang, Mischa Dombrowski, Zhe Li, Johannes C. Paetzold, Candice Roufosse, Bernhard Kainz
2025	J	`jnl`	Group-spectral superposition and position self-attention transformer for hyperspectral image classification. Expert Syst. Appl. Weitong Zhang, Mingwei Hu, Sihan Hou, Ronghua Shang, Jie Feng, Songhua Xu
2025	J	`jnl`	Hyperspectral image classification based on mixed similarity graph convolutional network and pixel refinement. Appl. Soft Comput. Ronghua Shang, Keyao Zhu, Huidong Chang, Weitong Zhang, Jie Feng, Songhua Xu
2025	A*	`conf`	Image Generation Diversity Issues and How to Tame Them. CVPR Mischa Dombrowski, Weitong Zhang, Sarah Cechnicka, Hadrien Reynaud, Bernhard Kainz
2025	J	`jnl`	Knowledge Distillation Based on Adaptive Learning and Channel Amplification Features for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. Ronghua Shang, Mingwei Hu, Wenzheng Li, Lei Liu, Weitong Zhang, Jie Feng, Songhua Xu
2025	J	`jnl`	Local Attention Mechanism and Temporal Prediction-Based Multi-Person Pose Estimation. Int. J. Pattern Recognit. Artif. Intell. Jianghai He, Ting Wu, Ronghua Shang, Weitong Zhang, Yangyang Li
2025	—	`conf`	Mesh4D: A Motion-Aware Multi-view Variational Autoencoder for 3D+t Mesh Reconstruction. MICCAI (16) 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	A*	`conf`	Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance. ICML Linxi Zhao, Yihe Deng, Weitong Zhang, Quanquan Gu
2025	J	`jnl`	Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis. CoRR Weitong Zhang, Mengyun Qiao, Chengqi Zang, Steven A. Niederer, Paul M. Matthews, Wenjia Bai, Bernhard Kainz
2025	—	`conf`	Multi-agent Reasoning for Cardiovascular Imaging Phenotype Analysis. MICCAI (1) Weitong Zhang, Mengyun Qiao, Chengqi Zang, Steven A. Niederer, Paul M. Matthews, Wenjia Bai, Bernhard Kainz
2025	J	`jnl`	Multilabel Feature Selection via Shared Latent Sublabel Structure and Simultaneous Orthogonal Basis Clustering. IEEE Trans. Neural Networks Learn. Syst. Ronghua Shang, Jingyu Zhong, Weitong Zhang, Songhua Xu, Yangyang Li
2025	J	`jnl`	Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning. CoRR Shangzhe Li, Dongruo Zhou, Weitong Zhang
2025	J	`jnl`	Node classification based on structure migration and graph attention convolutional crossover network. Knowl. Based Syst. Ruolin Li, Chi Wang, Ronghua Shang, Weitong Zhang, Songhua Xu
2025	J	`jnl`	Overlapping community detection based on graph attention autoencoder and self-trained clustering. Appl. Soft Comput. Weitong Zhang, Wenxu Wang, Ronghua Shang, Songhua Xu
2025	J	`jnl`	Personalized Federated Training of Diffusion Models with Privacy Guarantees. CoRR Kumar Kshitij Patel, Weitong Zhang, Lingxiao Wang
2025	A*	`conf`	Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time. EMNLP Yifan Lan, Yuanpu Cao, Weitong Zhang, Lu Lin, Jinghui Chen
2025	J	`jnl`	Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time. CoRR Yifan Lan, Yuanpu Cao, Weitong Zhang, Lu Lin, Jinghui Chen
2025	J	`jnl`	Robust multi-view subspace clustering via neighbor embedding on manifold and low-rank representation learning. Expert Syst. Appl. Jiarui Kong, Jingya Liu, Ronghua Shang, Weitong Zhang, Songhua Xu, Yangyang Li
2025	J	`jnl`	Towards Effective MLLM Jailbreaking Through Balanced On-Topicness and OOD-Intensity. CoRR Zuoou Li, Weitong Zhang, Jingyuan Wang, Shuyuan Zhang, Wenjia Bai, Bernhard Kainz, Mengyun Qiao
2024	A*	`conf`	Achieving Constant Regret in Linear Markov Decision Processes. NeurIPS Weitong Zhang, Zhiyuan Fan, Jiafan He, Quanquan Gu
2024	J	`jnl`	An efficient evolutionary architecture search for variational autoencoder with alternating optimization and adaptive crossover. Swarm Evol. Comput. Ronghua Shang, Hangcheng Liu, Wenzheng Li, Weitong Zhang, Teng Ma, Licheng Jiao
2024	J	`jnl`	Attribute community detection based on attribute edges weights fusion and graph embedding factorization. Appl. Intell. Shuaize Yang, Weitong Zhang, Ronghua Shang, Songhua Xu, Chao Wang
2024	J	`jnl`	CREAM: Consistency Regularized Self-Rewarding Language Models. CoRR Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao
2024	A*	`conf`	Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. WWW Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang
2024	J	`jnl`	Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. CoRR Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang
2024	J	`jnl`	Challenges of COVID-19 Case Forecasting in the US, 2020-2021. PLoS Comput. Biol. Velma K. Lopez, Estee Y. Cramer, Robert Pagano, John M. Drake, Eamon B. O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O. Dalgic, Mary A. Ladd, Benjamin P. Linas, Peter P. Mueller, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren A. Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan M. Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson
2024	—	`conf`	Data-Efficient Generation for Dataset Distillation. ECCV Workshops (19) Zhe Li, Weitong Zhang, Sarah Cechnicka, Bernhard Kainz
2024	J	`jnl`	Data-Efficient Generation for Dataset Distillation. CoRR Zhe Li, Weitong Zhang, Sarah Cechnicka, Bernhard Kainz
2024	J	`jnl`	DynamicKD: An effective knowledge distillation via dynamic entropy correction-based distillation for gap optimizing. Pattern Recognit. Songling Zhu, Ronghua Shang, Bo Yuan, Weitong Zhang, Wenjie Li, Yangyang Li, Licheng Jiao
2024	J	`jnl`	Ellipse IoU Loss: Better Learning for Rotated Bounding Box Regression. IEEE Geosci. Remote. Sens. Lett. Wenjie Li, Ronghua Shang, Zihan Ju, Jie Feng, Songhua Xu, Weitong Zhang
2024	J	`jnl`	Evolutionary multi-objective attribute community detection based on similarity fusion strategy with central nodes. Appl. Soft Comput. Weitong Zhang, Kejia Zhao, Ronghua Shang
2024	J	`jnl`	Evolutionary multi-objective overlapping community detection based on fusion of internal and external connectivity and correction of node intimacy. Appl. Soft Comput. Ronghua Shang, Sa Wang, Weitong Zhang, Jie Feng, Licheng Jiao, Rustam Stolkin
2024	J	`jnl`	HE2Gene: image-to-RNA translation via multi-task learning for spatial transcriptomics data. Bioinform. Xingjian Chen, Jiecong Lin, Yuchen Wang, Weitong Zhang, Weidun Xie, Zetian Zheng, Ka-Chun Wong
2024	A*	`conf`	Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs. ICLR Kaixuan Ji, Qingyue Zhao, Jiafan He, Weitong Zhang, Quanquan Gu
2024	C	`conf`	Hyperspectral Image Denoising Based on Nonlocal Memory-Augmented Spectral Attention. IGARSS Yige Mo, Le Dong, Weitong Zhang, Junpeng Zhang, Weisheng Dong
2024	J	`jnl`	Image Generation Diversity Issues and How to Tame Them. CoRR Mischa Dombrowski, Weitong Zhang, Sarah Cechnicka, Hadrien Reynaud, Bernhard Kainz
2024	J	`jnl`	Joint Adversarial Network With Semantic and Topology Fusion for Cross-Scene Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Ronghua Shang, Yuhao Xie, Weitong Zhang, Jie Feng, Songhua Xu
2024	J	`jnl`	Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance. CoRR Linxi Zhao, Yihe Deng, Weitong Zhang, Quanquan Gu
2024	J	`jnl`	Negative Label and Noise Information Guided Disambiguation for Partial Multi-Label Learning. IEEE Trans. Multim. Jingyu Zhong, Ronghua Shang, Feng Zhao, Weitong Zhang, Songhua Xu
2024	J	`jnl`	Non-convex feature selection based on feature correlation representation and dual manifold optimization. Expert Syst. Appl. Ronghua Shang, Lizhuo Gao, Haijing Chi, Jiarui Kong, Weitong Zhang, Songhua Xu
2024	J	`jnl`	Robust feature selection via central point link information and sparse latent representation. Pattern Recognit. Jiarui Kong, Ronghua Shang, Weitong Zhang, Chao Wang, Songhua Xu
2024	J	`jnl`	SAR Image Segmentation Based on Complicated Region-Sensitive Adaptive Superpixel Generation and Hybrid Edge Correction. IEEE Trans. Geosci. Remote. Sens. Jinhong Ren, Ronghua Shang, Jiansheng Chen, Weitong Zhang, Jie Feng, Mengmeng Liu, Chao Wang, Songhua Xu, Rustam Stolkin
2024	J	`jnl`	Settling Constant Regrets in Linear Markov Decision Processes. CoRR Weitong Zhang, Zhiyuan Fan, Jiafan He, Quanquan Gu
2024	A*	`conf`	Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. NeurIPS Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz
2024	J	`jnl`	Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. CoRR Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz
2024	J	`jnl`	Truth or Deceit? A Bayesian Decoding Game Enhances Consistency and Reliability. CoRR Weitong Zhang, Chengqi Zang, Bernhard Kainz
2024	A*	`conf`	Uncertainty-Aware Reward-Free Exploration with General Function Approximation. ICML Junkai Zhang, Weitong Zhang, Dongruo Zhou, Quanquan Gu
2024	J	`jnl`	Uncertainty-Aware Reward-Free Exploration with General Function Approximation. CoRR Junkai Zhang, Weitong Zhang, Dongruo Zhou, Quanquan Gu
2024	—	`—`	Uncertainty-Aware Unsupervised and Robust Reinforcement Learning Weitong Zhang
2024	—	`conf`	Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. MICCAI (9) Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz
2024	J	`jnl`	Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. CoRR Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz
2024	J	`jnl`	Unsupervised feature selection method based on dual manifold learning and dual spatial latent representation. Expert Syst. Appl. Ronghua Shang, Chenchen Liu, Weitong Zhang, Yangyang Li, Songhua Xu
2023	J	`jnl`	Attribute community detection based on latent representation learning and graph regularized non-negative matrix factorization. Appl. Soft Comput. Ronghua Shang, Weitong Zhang, Zhiyuan Li, Chao Wang, Licheng Jiao
2023	J	`jnl`	DNAGPT: A Generalized Pretrained Tool for Multiple DNA Sequence Analysis Tasks. CoRR Daoan Zhang, Weitong Zhang, Bing He, Jianguo Zhang, Chenchen Qin, Jianhua Yao
2023	J	`jnl`	DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap Optimizing. CoRR Songling Zhu, Ronghua Shang, Bo Yuan, Weitong Zhang, Yangyang Li, Licheng Jiao
2023	J	`jnl`	Evolutionary architecture search via adaptive parameter control and gene potential contribution. Swarm Evol. Comput. Ronghua Shang, Songling Zhu, Hangcheng Liu, Teng Ma, Weitong Zhang, Jie Feng, Licheng Jiao, Rustam Stolkin
2023	J	`jnl`	Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs. CoRR Kaixuan Ji, Qingyue Zhao, Jiafan He, Weitong Zhang, Quanquan Gu
2023	J	`jnl`	Large-scale community detection based on core node and layer-by-layer label propagation. Inf. Sci. Weitong Zhang, Ronghua Shang, Licheng Jiao
2023	—	`conf`	LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation. DALI@MICCAI Berke Doga Basaran, Weitong Zhang, Mengyun Qiao, Bernhard Kainz, Paul M. Matthews, Wenjia Bai
2023	J	`jnl`	LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation. CoRR Berke Doga Basaran, Weitong Zhang, Mengyun Qiao, Bernhard Kainz, Paul M. Matthews, Wenjia Bai
2023	J	`jnl`	Local Community Detection Algorithm Based on Alternating Strategy of Strong Fusion and Weak Fusion. IEEE Trans. Cybern. Ronghua Shang, Weitong Zhang, Jingwen Zhang, Licheng Jiao, Yangyang Li, Rustam Stolkin
2023	—	`conf`	M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. MICCAI (1) Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	J	`jnl`	M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. CoRR Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	—	`conf`	MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI. MICCAI (10) Weitong Zhang, Berke Doga Basaran, Qingjie Meng, Matthew Baugh, Jonathan K. Stelter, Phillip Lung, Uday Patel, Wenjia Bai, Dimitrios C. Karampinos, Bernhard Kainz
2023	J	`jnl`	Multi-Angle Models and Lightweight Unbiased Decoding-Based Algorithm for Human Pose Estimation. Int. J. Pattern Recognit. Artif. Intell. Jianghai He, Weitong Zhang, Ronghua Shang, Jie Feng, Licheng Jiao
2023	J	`jnl`	Numerical Study of Transient Wigner-Poisson Model for RTDs: Numerical Method and Its Applications. SIAM J. Sci. Comput. Haiyan Jiang, Tiao Lu, Wenqi Yao, Weitong Zhang
2023	A*	`conf`	On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits. ICML Weitong Zhang, Jiafan He, Zhiyuan Fan, Quanquan Gu
2023	J	`jnl`	On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits. CoRR Weitong Zhang, Jiafan He, Zhiyuan Fan, Quanquan Gu
2023	A*	`conf`	Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs. ICML Junkai Zhang, Weitong Zhang, Quanquan Gu
2023	J	`jnl`	Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs. CoRR Junkai Zhang, Weitong Zhang, Quanquan Gu
2023	J	`jnl`	Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation. CoRR Jingjie Guo, Weitong Zhang, Matthew Sinclair, Daniel Rueckert, Chen Chen
2023	J	`jnl`	Personalized Web Page Ranking Based Graph Convolutional Network for Community Detection in Attribute Networks. IEEE Access Weitong Zhang, Ronghua Shang, Zhiyuan Li, Rui Sun, Jun Du
2023	A	`conf`	Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL. UAI Weitong Zhang, Jiafan He, Dongruo Zhou, Amy Zhang, Quanquan Gu
2023	J	`jnl`	Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves. CoRR Yihe Deng, Weitong Zhang, Zixiang Chen, Quanquan Gu
2023	—	`conf`	Robust Segmentation via Topology Violation Detection and Feature Synthesis. MICCAI (4) Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz
2023	J	`jnl`	SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor. Briefings Bioinform. Yu Zhao, Xiaona Su, Weitong Zhang, Sijie Mai, Zhimeng Xu, Chenchen Qin, Rongshan Yu, Bing He, Jianhua Yao
2023	J	`jnl`	Unsupervised feature selection via discrete spectral clustering and feature weights. Neurocomputing Ronghua Shang, Jiarui Kong, Lujuan Wang, Weitong Zhang, Chao Wang, Yangyang Li, Licheng Jiao
2022	C	`conf`	A Directed Search Many Objective Optimization Algorithm Embodied with Kernel Clustering Strategy. ICIS Michael Aggrey Okoth, Ronghua Shang, Weitong Zhang, Licheng Jiao
2022	J	`jnl`	A hybrid sinc-Galerkin/finite-difference method for the time-dependent Wigner equation. J. Comput. Appl. Math. Haiyan Jiang, Tiao Lu, Weitong Zhang
2022	J	`jnl`	Dynamic Immunization Node Model for Complex Networks Based on Community Structure and Threshold. IEEE Trans. Cybern. Ronghua Shang, Weitong Zhang, Licheng Jiao, Xiangrong Zhang, Rustam Stolkin
2022	J	`jnl`	Evolutionary multiobjective overlapping community detection based on similarity matrix and node correction. Appl. Soft Comput. Ronghua Shang, Kejia Zhao, Weitong Zhang, Jie Feng, Yangyang Li, Licheng Jiao
2022	J	`jnl`	Explore the mechanism and substance basis of Mahuang FuziXixin Decoction for the treatment of lung cancer based on network pharmacology and molecular docking. Comput. Biol. Medicine Weitong Zhang, Wangqi Tian, Yifan Wang, Xiaojie Jin, Hui Guo, Yuwei Wang, Yuping Tang, Xiaojun Yao
2022	J	`jnl`	Feature selection based on non-negative spectral feature learning and adaptive rank constraint. Knowl. Based Syst. Ronghua Shang, Weitong Zhang, Mengyao Lu, Licheng Jiao, Yangyang Li
2022	—	`conf`	Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. EPIMI/ML-CDS@MICCAI 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
2022	J	`jnl`	Hyperspectral Image Classification Based on Multiscale Cross-Branch Response and Second-Order Channel Attention. IEEE Trans. Geosci. Remote. Sens. Ronghua Shang, Huidong Chang, Weitong Zhang, Jie Feng, Yangyang Li, Licheng Jiao
2022	J	`jnl`	Hyperspectral Image Classification Based on Pyramid Coordinate Attention and Weighted Self-Distillation. IEEE Trans. Geosci. Remote. Sens. Ronghua Shang, Jinhong Ren, Songling Zhu, Weitong Zhang, Jie Feng, Yangyang Li, Licheng Jiao
2022	J	`jnl`	Learning Contextual Bandits Through Perturbed Rewards. CoRR Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang
2022	A*	`conf`	Learning Neural Contextual Bandits through Perturbed Rewards. ICLR Yiling Jia, Weitong Zhang, Dongruo Zhou, Quanquan Gu, Hongning Wang
2022	J	`jnl`	SRG-Vote: Predicting Mirna-Gene Relationships via Embedding and LSTM Ensemble. IEEE J. Biomed. Health Informatics Weidun Xie, Zetian Zheng, Weitong Zhang, Lei Huang, Qiuzhen Lin, Ka-Chun Wong
2022	J	`jnl`	Simplified Nonlocal Network Based on Adaptive Projection Attention Method for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Ronghua Shang, Wenjie Li, Weitong Zhang, Jie Feng, Yangyang Li, Licheng Jiao
2022	J	`jnl`	Uncorrelated feature selection via sparse latent representation and extended OLSDA. Pattern Recognit. Ronghua Shang, Jiarui Kong, Weitong Zhang, Jie Feng, Licheng Jiao, Rustam Stolkin
2021	J	`jnl`	Graph Convolutional Neural Networks with Geometric and Discrimination information. Eng. Appl. Artif. Intell. Ronghua Shang, Yang Meng, Weitong Zhang, Fanhua Shang, Licheng Jiao, Shuyuan Yang
2021	J	`jnl`	Human host status inference from temporal microbiome changes via recurrent neural networks. Briefings Bioinform. Xingjian Chen, Lingjing Liu, Weitong Zhang, Jianyi Yang, Ka-Chun Wong
2021	A*	`conf`	Neural Thompson Sampling. ICLR Weitong Zhang, Dongruo Zhou, Lihong Li, Quanquan Gu
2021	J	`jnl`	Provably Efficient Representation Learning in Low-rank Markov Decision Processes. CoRR Weitong Zhang, Jiafan He, Dongruo Zhou, Amy Zhang, Quanquan Gu
2021	A*	`conf`	Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation. NeurIPS Weitong Zhang, Dongruo Zhou, Quanquan Gu
2021	J	`jnl`	Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation. CoRR Weitong Zhang, Dongruo Zhou, Quanquan Gu
2020	J	`jnl`	A Finite Time Analysis of Two Time-Scale Actor Critic Methods. CoRR Yue Wu, Weitong Zhang, Pan Xu, Quanquan Gu
2020	A*	`conf`	A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods. NeurIPS Yue Wu, Weitong Zhang, Pan Xu, Quanquan Gu
2020	J	`jnl`	Complex network graph embedding method based on shortest path and MOEA/D for community detection. Appl. Soft Comput. Weitong Zhang, Ronghua Shang, Licheng Jiao
2020	J	`jnl`	Neural Thompson Sampling. CoRR Weitong Zhang, Dongruo Zhou, Lihong Li, Quanquan Gu
2019	A	`conf`	End-to-End Panoptic Segmentation with Pixel-Level Non-Overlapping Embedding. ICME Weitong Zhang, Qieshi Zhang, Jun Cheng, Cong Bai, Pengyi Hao
2019	J	`jnl`	Multi-objective artificial immune algorithm for fuzzy clustering based on multiple kernels. Swarm Evol. Comput. Ronghua Shang, Weitong Zhang, Feng Li, Licheng Jiao, Rustam Stolkin
2019	—	`conf`	TransNet: Linkage Recognition with Contextual Nexus for Hard Object. RCAR Weitong Zhang, Yanling Tian, Qieshi Zhang, Jun Cheng, Huiquan Zhang
2018	J	`jnl`	Characters Detection on Namecard with faster RCNN. CoRR Weitong Zhang
2018	—	`conf`	Co-consistent Regularization with Discriminative Feature for Zero-Shot Learning. ICONIP (1) Yanling Tian, Weitong Zhang, Qieshi Zhang, Jun Cheng, Pengyi Hao, Gang Lu
2018	J	`jnl`	Day-Ahead Scheduling of Distribution Level Integrated Electricity and Natural Gas System Based on Fast-ADMM With Restart Algorithm. IEEE Access Jian Chen, Weitong Zhang, Yicheng Zhang, Guannan Bao
2018	J	`jnl`	Design and Realization of Intersection Traffic Control Simulation System Using Connected Vehicle Technology. CoRR Weitong Zhang, Shuai Liu, Daoya Yao
2018	C	`conf`	SAR Image Change Detection Based on Conditional Spatial and Kernel Fuzzy C-Means. IGARSS Weitong Zhang, Ailing Wen, Ronghua Shang, Licheng Jiao
2018	B	`conf`	Selective Multi-Convolutional Region Feature Extraction based Iterative Discrimination CNN for Fine-Grained Vehicle Model Recognition. ICPR Yanling Tian, Weitong Zhang, Qieshi Zhang, Gang Lu, Xiaojun Wu
2017	—	`conf`	Detection in SAR Images Based on Histogram and Improved Elitist Genetic Fuzzy Clustering. ICCCS (2) Ronghua Shang, Weitong Zhang, Licheng Jiao
2017	—	`conf`	Markov-Potts Prior Model and Fuzzy Membership Based Nonparametric SAR Image Change Detection. BIC-TA Ronghua Shang, Weitong Zhang, Yijing Yuan, Licheng Jiao
2017	—	`conf`	Multi-objective artificial immune algorithm for fuzzy clustering based on multiple kernels. SSCI Ronghua Shang, Weitong Zhang, Feng Li, Licheng Jiao, Rustam Stolkin
2016	J	`jnl`	Circularly Searching Core Nodes Based Label Propagation Algorithm for Community Detection. Int. J. Pattern Recognit. Artif. Intell. Ronghua Shang, Weitong Zhang, Licheng Jiao
2016	B	`conf`	On the use of immune clone optimization for unconstrained multi-objective resource allocation in the cognitive OFDMA networks. CEC Ronghua Shang, Weitong Zhang, Ailing Wen, Kun Zhang, Licheng Jiao
2006	—	`conf`	Recognition and Location of Fruit Objects Based on Machine Vision. ICAT Hui Gu, Yaya Lu, Jilin Lou, Weitong Zhang