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Yuan Wu

21 papers · 2020–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ πŸƒ Academic Marathon (5) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (7)
πŸƒ Academic Marathon (5) 🧭 Keyword Pioneer πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (91) πŸ’Ž Century Club (19) πŸ”₯ Unstoppable (6) ⚑ Prolific Year (7)

Conferences

EMNLP (6) AAAI (5) ACL (3) AISTATS (1) CVPR (1) EACL (1) ECCV (1) IJCAI (1) JMLR (1) WACV (1)

Top co-authors

Yi Chang (10) Cheng Jin (5) Diana Inkpen (3) Tingyu Xia (3) Ahmed El-Roby (3) Bowen Yu (2) Jinzhe Li (2) Kaiyi Zhang (2) Weizhong Zhang (2) Chenlu Guo (2)

Keywords

low-rank adaptation (4) parameter-efficient fine-tuning (4) model compression (3) adversarial learning (3) camera parameter (2) 3d pose estimation (2) neural network optimization (2) semantic segmentation (2) singular value decomposition (2) transfer learning (2) domain adaptation (2) large language model (2) human pose estimation (2) language model (2) multi-domain text classification (2) point cloud generation (2) matrix factorization (1) entropy minimization (1) image restoration (1) benchmark evaluation (1)

Papers

SpatioTemporal Difference Network for Video Depth Super-Resolution AAAI 2026 SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling ACL 2026 LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization EMNLP 2025 StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following ACL 2025 R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-task Learning EMNLP 2025 Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models EMNLP 2025 Large Language Model Evaluation via Matrix Nuclear-Norm EMNLP 2025 NLoRA: NystrΓΆm-Initiated Low-Rank Adaptation for Large Language Models EMNLP 2025 Rethinking Data Selection at Scale: Random Selection is Almost All You Need EMNLP 2025 PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization CVPR 2024 NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli IJCAI 2024 Language Models can Evaluate Themselves via Probability Discrepancy ACL 2024 FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation AAAI 2024 ETR: An Efficient Transformer for Re-Ranking in Visual Place Recognition WACV 2023 Co-Regularized Adversarial Learning for Multi-Domain Text Classification AISTATS 2022 Attention-Based Transformation from Latent Features to Point Clouds AAAI 2022 Conditional Adversarial Networks for Multi-Domain Text Classification EACL 2021 Estimating Uncertainty Intervals from Collaborating Networks JMLR 2021 CPCGAN: A Controllable 3D Point Cloud Generative Adversarial Network with Semantic Label Generating AAAI 2021 Dual Adversarial Co-Learning for Multi-Domain Text Classification AAAI 2020 Dual Mixup Regularized Learning for Adversarial Domain Adaptation ECCV 2020