conftrace_

Yuhao Zhou

33 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (14)
🌍 Conference Polyglot (9) 🏃 Academic Marathon (7) 🌈 Renaissance Researcher (8) 👥 Mega-Team (21) 🤝 Dynamic Duo (12) 🏆 Grand Slam The Questioner (2) 🔥 Unstoppable (8) 💎 Century Club (28) 🗃️ Keyword Collector (134) Prolific Year (10)

Conferences

ACL (7) NIPS (6) EMNLP (4) CVPR (3) ICLR (3) ICML (3) AAAI (2) COLING (2) ICCV (2) NAACL (1)

Research topics

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