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Haoyi Xiong

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (53) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Keyword Champion πŸ† Grand Slam πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (7) πŸ—ƒοΈ Keyword Collector (135)

Papers

Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models EMNLP 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 Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection ICLR 2025 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 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 MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract) IJCAI 2024 M^4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models NeurIPS 2023 Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features AAAI 2023 MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model MIDL 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 AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators AAAI 2022 InterpretDL: Explaining Deep Models in PaddlePaddle JMLR 2022 RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning NAACL 2022 C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak AAAI 2021 Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs IJCAI 2021 Semi-Supervised Active Learning With Temporal Output Discrepancy ICCV 2021 Generating Person Images with Appearance-aware Pose Stylizer IJCAI 2020 On the Noisy Gradient Descent that Generalizes as SGD ICML 2020 RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr ICML 2020 Ultrafast Photorealistic Style Transfer via Neural Architecture Search AAAI 2020 DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS ICLR 2019 SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019 De-biasing Covariance-Regularized Discriminant Analysis IJCAI 2018