← Authors

Haoyi Xiong

27 papers · 2018–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (54) πŸ† Grand Slam πŸ”₯ Unstoppable (8) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (119) πŸ“ˆ Trend Setter πŸ’Ž Century Club (27)

Conferences

AAAI (7) IJCAI (6) ICLR (3) ICML (3) ICCV (2) ACL (1) EMNLP (1) JMLR (1) MIDL (1) NAACL (1) NIPS (1)

Top co-authors

Dejing Dou (8) Xuhong Li (7) Jun Huan (6) Xingjian Li (6) Jiang Bian (4) Yuchen Li (3) Zeyu Chen (3) Cheng-Zhong Xu (3) Siyu Huang (3) Jiamin Chen (3)

Research topics

Optimization (1)

Keywords

feature extraction (3) semi-supervised learning (2) graph neural network (2) deep neural network (2) graph representation learning (2) pseudo label (2) learning to rank (2) graph contrastive learning (2) semantic segmentation (1) few-shot learning (1) stochastic gradient descent (1) image generation (1) transfer learning (1) domain adaptation (1) compressed sensing (1) neural network training (1) style transfer (1) double descent (1) sparse representation (1) feature selection (1)

Papers

Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection ICLR 2025
IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis ICLR 2025
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning AAAI 2025
Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models EMNLP 2025
G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract) IJCAI 2024
Geometry-Guided Conditional Adaptation for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries IJCAI 2024
GiLOT: Interpreting Generative Language Models via Optimal Transport ICML 2024
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract) IJCAI 2024
$\mathcal{M}^4$: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models NIPS 2023
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features AAAI 2023
Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification ACL 2023
Towards Inadequately Pre-trained Models in Transfer Learning ICCV 2023
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model MIDL 2023
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators AAAI 2022
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning NAACL 2022
InterpretDL: Explaining Deep Models in PaddlePaddle JMLR 2022
Semi-Supervised Active Learning With Temporal Output Discrepancy ICCV 2021
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs IJCAI 2021
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak AAAI 2021
On the Noisy Gradient Descent that Generalizes as SGD ICML 2020
Generating Person Images with Appearance-aware Pose Stylizer IJCAI 2020
Ultrafast Photorealistic Style Transfer via Neural Architecture Search AAAI 2020
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr ICML 2020
SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019
DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS ICLR 2019
De-biasing Covariance-Regularized Discriminant Analysis IJCAI 2018