Yuhao Zhou
33 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (14)
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Conference Polyglot
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Academic Marathon
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(8)
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Mega-Team
(21)
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(12)
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The Questioner
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Century Club
(28)
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Keyword Collector
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Conferences
ACL (7)
NIPS (6)
EMNLP (4)
CVPR (3)
ICLR (3)
ICML (3)
AAAI (2)
COLING (2)
ICCV (2)
NAACL (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(5)
large language model
(4)
supervised fine-tuning
(2)
language model
(2)
contrastive learning
(2)
kernel methods
(2)
reinforcement learning from human feedback
(2)
chain-of-thought reasoning
(2)
lottery ticket hypothesis
(2)
reward modeling
(2)
adversarial defense
(2)
federated learning
(2)
instrumental variable regression
(2)
transfer learning
(2)
model compression
(2)
mathematical reasoning
(2)
language model alignment
(2)
curriculum learning
(2)
uncertainty quantification
(2)
variational inference
(1)
Papers
FlowSearch: Advancing Deep Research with Dynamic Structured Knowledge Flow
ACL 2026
MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs
ACL 2026
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
AAAI 2026
What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study
AAAI 2026
CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards
ACL 2026
EA-Vit: Efficient Adaptation for Elastic Vision Transformer
ICCV 2025
LSDC: An Efficient and Effective Large-Scale Data Compression Method for Supervised Fine-tuning of Large Language Models
NAACL 2025
Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning
EMNLP 2025
Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
CVPR 2025
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning
EMNLP 2024
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
ACL 2024
StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback
ACL 2024
ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks
COLING 2024
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals
COLING 2024
Reward Modeling Requires Automatic Adjustment Based on Data Quality
EMNLP 2024
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning
ICLR 2024
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
ICLR 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
ICML 2024
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
ICML 2024
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
NIPS 2023
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
EMNLP 2023
Detecting Adversarial Samples through Sharpness of Loss Landscape
ACL 2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence
ICCV 2023
Fast Instrument Learning with Faster Rates
NIPS 2022
Gradient Estimation with Discrete Stein Operators
NIPS 2022
Robust Lottery Tickets for Pre-trained Language Models
ACL 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
NIPS 2022
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression
NIPS 2021
Learning to Simulate Dynamic Environments With GameGAN
CVPR 2020
Nonparametric Score Estimators
ICML 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
NIPS 2020
Neural Graph Evolution: Towards Efficient Automatic Robot Design
ICLR 2019
Now You Shake Me: Towards Automatic 4D Cinema
CVPR 2018