Haoyi Xiong
27 papers · 2018–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (11) π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(54)
π
Grand Slam
π₯
Unstoppable
(8)
β‘
Prolific Year
(5)
π
Conference Pioneer
ποΈ
Keyword Collector
(119)
π
Trend Setter
π
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
Research topics
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
GβLIME: 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