Zhang, Xi

55 publications

IJCAI 2025 Automated Detection of Pre-Training Text in Black-Box LLMs Ruihan Hu, Yu-Ming Shang, Jiankun Peng, Wei Luo, Yazhe Wang, Xi Zhang

NeurIPS 2025 BADiff: Bandwidth Adaptive Diffusion Model Xi Zhang, Hanwei Zhu, Yan Zhong, Jiamang Wang, Weisi Lin

AAAI 2025 Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers Hui Pang, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang

IJCAI 2025 Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction Chaozhuo Li, Zhihao Tang, Mingji Zhang, Zhiquan Liu, Litian Zhang, Xi Zhang

AAAI 2025 Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery Yanyi Li, Xi Zhang, Yisi Luo, Deyu Meng

IJCAI 2025 Diffusion Guided Propagation Augmentation for Popularity Prediction Chaozhuo Li, Tianqi Yang, Litian Zhang, Xi Zhang

AAAI 2025 From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction Zhihao Tang, Xi Zhang, Chaozhuo Li

AAAI 2025 Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training Wenting Zhu, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang

NeurIPS 2025 Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression Xi Zhang, Xiaolin Wu, Jiamang Wang, Weisi Lin

NeurIPS 2025 Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation Yuyang Wanyan, Xi Zhang, Haiyang Xu, Haowei Liu, Junyang Wang, Jiabo Ye, Yutong Kou, Ming Yan, Fei Huang, Xiaoshan Yang, Weiming Dong, Changsheng Xu

AAAI 2025 MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning Liwen Zheng, Chaozhuo Li, Litian Zhang, Haoran Jia, Senzhang Wang, Zheng Liu, Xi Zhang

ICLR 2025 Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic, Xi Zhang, Brandon Amos, Mathieu Blanchette, Leo J Lee, Yoshua Bengio, Alexander Tong, Kirill Neklyudov

CVPR 2025 Multirate Neural Image Compression with Adaptive Lattice Vector Quantization Hao Xu, Xiaolin Wu, Xi Zhang

NeurIPS 2025 One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs Pengbo Wang, Chaozhuo Li, Chenxu Wang, Liwen Zheng, Litian Zhang, Xi Zhang

NeurIPS 2025 Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion Xi Zhang, Yanyi Li, Yisi Luo, Qi Xie, Deyu Meng

ICCV 2025 Overcoming Dual Drift for Continual Long-Tailed Visual Question Answering Feifei Zhang, Zhihao Wang, Xi Zhang, Changsheng Xu

ICLRW 2025 PC-Agent: A Hierarchical Agentic Framework for Complex Task Automation on PC Haowei Liu, Xi Zhang, Haiyang Xu, Yuyang Wanyan, Junyang Wang, Ming Yan, Ji Zhang, Chunfeng Yuan, Changsheng Xu, Weiming Hu, Fei Huang

NeurIPS 2025 Robust Explanations of Graph Neural Networks via Graph Curvatures Yazheng Liu, Xi Zhang, Sihong Xie, Hui Xiong

AAAI 2025 When Open-Vocabulary Visual Question Answering Meets Causal Adapter: Benchmark and Approach Feifei Zhang, Zhaoyi Zhang, Xi Zhang, Changsheng Xu

NeurIPS 2024 Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning Yuefei Lyu, Chaozhuo Li, Sihong Xie, Xi Zhang

ECCV 2024 Fast Point Cloud Geometry Compression with Context-Based Residual Coding and INR-Based Refinement Hao Xu, Xi Zhang, Xiaolin Wu

NeurIPS 2024 Learning Optimal Lattice Vector Quantizers for End-to-End Neural Image Compression Xi Zhang, Xiaolin Wu

NeurIPS 2024 Linear Uncertainty Quantification of Graphical Model Inference Chenghua Guo, Han Yu, Jiaxin Liu, Chao Chen, Qi Li, Sihong Xie, Xi Zhang

ICMLW 2024 Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic, Xi Zhang, Brandon Amos, Mathieu Blanchette, Leo J Lee, Yoshua Bengio, Alexander Tong, Kirill Neklyudov

NeurIPS 2024 Mobile-Agent-V2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration Junyang Wang, Haiyang Xu, Haitao Jia, Xi Zhang, Ming Yan, Weizhou Shen, Ji Zhang, Fei Huang, Jitao Sang

NeurIPS 2024 Training for Stable Explanation for Free Chao Chen, Chenghua Guo, Rufeng Chen, Guixiang Ma, Ming Zeng, Xiangwen Liao, Xi Zhang, Sihong Xie

NeurIPS 2024 Trajectory Flow Matching with Applications to Clinical Time Series Modelling Xi Zhang, Yuan Pu, Yuki Kawamura, Andrew Loza, Yoshua Bengio, Dennis L. Shung, Alexander Tong

ICLR 2023 A Differential Geometric View and Explainability of GNN on Evolving Graphs Yazheng Liu, Xi Zhang, Sihong Xie

AAAI 2023 Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos

ECML-PKDD 2023 Filtered Observations for Model-Based Multi-Agent Reinforcement Learning Linghui Meng, Xuantang Xiong, Yifan Zang, Xi Zhang, Guoqi Li, Dengpeng Xing, Bo Xu

CVPR 2023 LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression Xi Zhang, Xiaolin Wu

WACV 2023 Learning Graph Variational Autoencoders with Constraints and Structured Priors for Conditional Indoor 3D Scene Generation Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, René Vidal

CVPRW 2023 NTIRE 2023 Challenge on Image Denoising: Methods and Results Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang

ICMLW 2023 Robust Ranking Explanations Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie

CVPR 2023 VQACL: A Novel Visual Question Answering Continual Learning Setting Xi Zhang, Feifei Zhang, Changsheng Xu

CVPR 2022 ABO: Dataset and Benchmarks for Real-World 3D Object Understanding Jasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra, Leon Xu, Erhan Gundogdu, Xi Zhang, Tomas F. Yago Vicente, Thomas Dideriksen, Himanshu Arora, Matthieu Guillaumin, Jitendra Malik

ICML 2022 Anytime Information Cascade Popularity Prediction via Self-Exciting Processes Xi Zhang, Akshay Aravamudan, Georgios C Anagnostopoulos

AAAI 2022 DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma

AAAI 2022 Explainable Survival Analysis with Convolution-Involved Vision Transformer Yifan Shen, Li Liu, Zhihao Tang, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xi Zhang, Lin Yang, Qingfeng Zheng

IJCAI 2022 MFAN: Multi-Modal Feature-Enhanced Attention Networks for Rumor Detection Jiaqi Zheng, Xi Zhang, Sanchuan Guo, Quan Wang, Wenyu Zang, Yongdong Zhang

ECCVW 2022 Unsupervised Scene Sketch to Photo Synthesis Jiayun Wang, Sangryul Jeon, Stella X. Yu, Xi Zhang, Himanshu Arora, Yu Lou

CVPR 2021 Attention-Guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton Xi Zhang, Xiaolin Wu

JMLR 2021 Collusion Detection and Ground Truth Inference in Crowdsourcing for Labeling Tasks Changyue Song, Kaibo Liu, Xi Zhang

NeurIPS 2020 On Numerosity of Deep Neural Networks Xi Zhang, Xiaolin Wu

IJCAI 2020 Rumor Detection on Social Media with Graph Structured Adversarial Learning Xiaoyu Yang, Yuefei Lyu, Tian Tian, Yifei Liu, Yudong Liu, Xi Zhang

AAAI 2019 Cognitive Deficit of Deep Learning in Numerosity Xiaolin Wu, Xi Zhang, Xiao Shu

AAAI 2019 Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age Yu Lu, Xi Zhang, Xianghua Fu, Fangxiong Chen, Kelvin Kian Loong Wong

ECCV 2018 Attention-Aware Deep Adversarial Hashing for Cross-Modal Retrieval Xi Zhang, Hanjiang Lai, Jiashi Feng

IJCAI 2018 CAGAN: Consistent Adversarial Training Enhanced GANs Yao Ni, Dandan Song, Xi Zhang, Hao Wu, Lejian Liao

CoRL 2018 Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation Fan Wang, Bo Zhou, Ke Chen, Tingxiang Fan, Xi Zhang, Jiangyong Li, Hao Tian, Jia Pan

IJCAI 2018 Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask Xi Zhang, Di Ma, Xu Ouyang, Shanshan Jiang, Lin Gan, Gady Agam

IJCAI 2016 Understanding Information Diffusion Under Interactions Yuan Su, Xi Zhang, Philip S. Yu, Wen Hua, Xiaofang Zhou, Binxing Fang

ICML 2015 Hashing for Distributed Data Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang, Hanqing Lu

CVPRW 2014 Alignment of 3D Building Models with Satellite Images Using Extended Chamfer Matching Xi Zhang, Gady Agam, Xin Chen

AAAI 2014 Recommendation by Mining Multiple User Behaviors with Group Sparsity Ting Yuan, Jian Cheng, Xi Zhang, Shuang Qiu, Hanqing Lu