Yifan Hu
27 papers · 2015–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (9)
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Academic Marathon
(10)
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Interdisciplinary Bridge
🐝
Cross-Pollinator
(9)
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Unstoppable
(6)
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Century Club
(26)
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Prolific Year
(6)
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Keyword Collector
(122)
Conferences
EMNLP (6)
NIPS (6)
AAAI (4)
ICML (4)
ACL (3)
AISTATS (3)
ICCV (1)
Top co-authors
Keywords
stochastic optimization
(5)
large language model
(3)
sample complexity
(3)
bilevel optimization
(2)
adversarial training
(2)
text classification
(2)
conversational speech synthesis
(2)
deep learning
(2)
distributionally robust optimization
(2)
spiking neural network
(2)
speech synthesis
(2)
emotion recognition
(2)
markov decision process
(2)
bayesian inference
(1)
image classification
(1)
feature extraction
(1)
probabilistic modeling
(1)
representation learning
(1)
federated learning
(1)
online learning
(1)
Papers
TellWhisper: Tell Whisper Who Speaks When
ACL 2026
Chain-Talker: Chain Understanding and Rendering for Empathetic Conversational Speech Synthesis
ACL 2025
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
ICML 2025
Global Group Fairness in Federated Learning via Function Tracking
AISTATS 2025
Unraveling Interwoven Roles of Large Language Models in Authorship Privacy: Obfuscation, Mimicking, and Verification
EMNLP 2025
Efficiently Serving Large Multimodal Models Using EPD Disaggregation
ICML 2025
MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment
ICML 2025
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
AAAI 2025
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
ICML 2025
Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech
AAAI 2025
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization
AISTATS 2024
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
NIPS 2024
Group Robust Preference Optimization in Reward-free RLHF
NIPS 2024
Contextual Bilevel Reinforcement Learning for Incentive Alignment
NIPS 2024
Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling
AAAI 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces
AISTATS 2024
Contextual Stochastic Bilevel Optimization
NIPS 2023
Deep Directly-Trained Spiking Neural Networks for Object Detection
ICCV 2023
Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense
ACL 2022
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization
NIPS 2021
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation
EMNLP 2021
Going Deeper With Directly-Trained Larger Spiking Neural Networks
AAAI 2021
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
NIPS 2020
HABERTOR: An Efficient and Effective Deep Hatespeech Detector
EMNLP 2020
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
EMNLP 2020
TNT: Text Normalization based Pre-training of Transformers for Content Moderation
EMNLP 2020
Joint Embedding of Query and Ad by Leveraging Implicit Feedback
EMNLP 2015