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Yi He

34 papers · 2018–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🌍 Conference Polyglot (9)
🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (133) πŸ’Ž Century Club (30) πŸ”₯ Unstoppable (8) ⚑ Prolific Year (7)

Conferences

AAAI (11) IJCAI (7) INTERSPEECH (5) ICCV (3) ICML (3) MIDL (2) ACL (1) ICLR (1) NIPS (1)

Research topics

Papers

Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG AAAI 2026 FinMathBench: A Formula-Driven Benchmark for Evaluating LLMs’ Math Reasoning Capabilities in Finance AAAI 2026 MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery AAAI 2026 IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech AAAI 2026 Query-Driven Multimodal GraphRAG: Dynamic Local Knowledge Graph Construction for Online Reasoning ACL 2025 How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback IJCAI 2025 HGEN: Heterogeneous Graph Ensemble Networks IJCAI 2025 EmotiCrafter: Text-to-Emotional-Image Generation based on Valence-Arousal Model ICCV 2025 Learning Chaos In A Linear Way ICLR 2025 Topology-aware Neural Flux Prediction Guided by Physics ICML 2025 Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction ICML 2025 Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation ICML 2025 A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams IJCAI 2025 Metric-Agnostic Continual Learning for Sustainable Group Fairness AAAI 2025 HGDL: Heterogeneous Graph Label Distribution Learning NIPS 2024 MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction AAAI 2024 GLDL: Graph Label Distribution Learning AAAI 2024 Random Utterance Concatenation Based Data Augmentation for Improving Short-video Speech Recognition INTERSPEECH 2023 Knowledge Distillation Approach for Efficient Internal Language Model Estimation INTERSPEECH 2023 Improving Frame-level Classifier for Word Timings with Non-peaky CTC in End-to-End Automatic Speech Recognition INTERSPEECH 2023 Online Random Feature Forests for Learning in Varying Feature Spaces AAAI 2023 Online Semi-supervised Learning with Mix-Typed Streaming Features AAAI 2023 Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract) AAAI 2023 Towards Utilitarian Online Learning -- A Review of Online Algorithms in Open Feature Space IJCAI 2023 Internal Language Model Estimation Through Explicit Context Vector Learning for Attention-based Encoder-decoder ASR INTERSPEECH 2022 Online Learning in Variable Feature Spaces under Incomplete Supervision AAAI 2021 Interpretable Minority Synthesis for Imbalanced Classification IJCAI 2021 Emitting Word Timings with HMM-Free End-to-End System in Automatic Speech Recognition INTERSPEECH 2021 Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks MIDL 2020 Domain adaptation model for retinopathy detection from cross-domain OCT images MIDL 2020 Semi-Supervised Skin Detection by Network With Mutual Guidance ICCV 2019 SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval ICCV 2019 Online Learning from Capricious Data Streams: A Generative Approach IJCAI 2019 Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization IJCAI 2018