Xiong, Haoyi

42 publications

ICLR 2025 IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis Shitong Shao, Zikai Zhou, Bai LiChen, Haoyi Xiong, Zeke Xie

MLJ 2025 Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection Xiaochen Zhang, Yunfeng Cai, Haoyi Xiong

AAAI 2025 SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning Tianhao Peng, Xuhong Li, Haitao Yuan, Yuchen Li, Haoyi Xiong

ICLR 2025 Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection Bai LiChen, Shitong Shao, Zikai Zhou, Zipeng Qi, Zhiqiang Xu, Haoyi Xiong, Zeke Xie

AAAI 2024 G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou

MLJ 2024 GS2P: A Generative Pre-Trained Learning to Rank Model with Over-Parameterization for Web-Scale Search Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin

IJCAI 2024 GS2P: A Generative Pre-Trained Learning to Rank Model with Over-Parameterization for Web-Scale Search (Extended Abstract) Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin

IJCAI 2024 Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries Jingyang Deng, Xingjian Li, Haoyi Xiong, Xiaoguang Hu, Jinwen Ma

ICML 2024 GiLOT: Interpreting Generative Language Models via Optimal Transport Xuhong Li, Jiamin Chen, Yekun Chai, Haoyi Xiong

IJCAI 2024 MPGraf: A Modular and Pre-Trained Graphformer for Learning to Rank at Web-Scale (Extended Abstract) Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin

MLJ 2024 Towards Accurate Knowledge Transfer via Target-Awareness Representation Disentanglement Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou

NeurIPS 2023 $\mathcal{M}^4$: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods Across Metrics, Modalities and Models Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong

TMLR 2023 Beyond Intuition: Rethinking Token Attributions Inside Transformers Jiamin Chen, Xuhong Li, Lei Yu, Dejing Dou, Haoyi Xiong

MLJ 2023 Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou

MLJ 2023 Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou

AAAI 2023 Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou

ECML-PKDD 2023 LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin

ECML-PKDD 2023 Overcoming Catastrophic Forgetting for Fine-Tuning Pre-Trained GANs Zeren Zhang, Xingjian Li, Tao Hong, Tianyang Wang, Jinwen Ma, Haoyi Xiong, Cheng-Zhong Xu

TMLR 2023 Pareto Optimization for Active Learning Under Out-of-Distribution Data Scenarios Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan

TMLR 2023 SMILE: Sample-to-Feature Mixup for Efficient Transfer Learning Xingjian Li, Haoyi Xiong, Cheng-zhong Xu, Dejing Dou

ICCV 2023 Towards Inadequately Pre-Trained Models in Transfer Learning Andong Deng, Xingjian Li, Di Hu, Tianyang Wang, Haoyi Xiong, Cheng-Zhong Xu

AAAI 2022 AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang

TMLR 2022 Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Jie Fu, Yang Cao, Yu Kang, Haifeng Wang

MLJ 2022 Exploring the Common Principal Subspace of Deep Features in Neural Networks Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dejing Dou, Dongrui Wu

MLOSS 2022 InterpretDL: Explaining Deep Models in PaddlePaddle Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou

ECML-PKDD 2022 Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Dejing Dou, Guihai Chen

NeurIPSW 2022 SMILE: Sample-to-Feature MIxup for Efficient Transfer LEarning Xingjian Li, Haoyi Xiong, Cheng-zhong Xu, Dejing Dou

MLJ 2021 AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou

AAAI 2021 C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou

NeurIPSW 2021 Explaining Information Flow Inside Vision Transformers Using Markov Chain Tingyi Yuan, Xuhong Li, Haoyi Xiong, Hui Cao, Dejing Dou

MLJ 2021 MODES: Model-Based Optimization on Distributed Embedded Systems Junjie Shi, Jiang Bian, Jakob Richter, Kuan-Hsun Chen, Jörg Rahnenführer, Haoyi Xiong, Jian-Jia Chen

IJCAI 2021 Rethink the Connections Among Generalization, Memorization, and the Spectral Bias of DNNs Xiao Zhang, Haoyi Xiong, Dongrui Wu

ICCV 2021 Semi-Supervised Active Learning with Temporal Output Discrepancy Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou

IJCAI 2020 Generating Person Images with Appearance-Aware Pose Stylizer Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou

ICML 2020 On the Noisy Gradient Descent That Generalizes as SGD Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Vladimir Braverman, Zhanxing Zhu

ICML 2020 RIFLE: Backpropagation in Depth for Deep Transfer Learning Through Re-Initializing the Fully-Connected LayEr Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou

AAAI 2020 Ultrafast Photorealistic Style Transfer via Neural Architecture Search Jie An, Haoyi Xiong, Jun Huan, Jiebo Luo

ICLR 2019 Delta: Deep Learning Transfer Using Feature mAP with Attention for Convolutional Networks Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan

ECML-PKDD 2019 Neural Control Variates for Monte Carlo Variance Reduction Ruosi Wan, Mingjun Zhong, Haoyi Xiong, Zhanxing Zhu

AAAI 2019 SpHMC: Spectral Hamiltonian Monte Carlo Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan

AAAI 2018 CSWA: Aggregation-Free Spatial-Temporal Community Sensing Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das

IJCAI 2018 De-Biasing Covariance-Regularized Discriminant Analysis Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo