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Liu Yang

48 papers · 2008–2026 · 17 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) 🌍 Conference Polyglot (17)
πŸ—ΊοΈ Taxonomy Completionist (14) 🌍 Conference Polyglot (17) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion πŸ† Grand Slam πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸš€ Conference Pioneer ⚑ Prolific Year (11) πŸ—ƒοΈ Keyword Collector (52) ❓ The Questioner πŸ’Ž Century Club (42)

Conferences

AAAI (8) AISTATS (5) IJCAI (5) NIPS (4) CVPR (4) ACL (3) NAACL (3) ICML (3) NSDI (2) ICLR (2) ICCV (2) COLT (2) EMNLP (1) IJCNLP (1) JMLR (1) COLING (1) ALT (1)

Top co-authors

Steve Hanneke (9) Meiguang Zheng (4) Boyu Wang (4) Dimitris Papailiopoulos (4) Zhigang Hu (4) Hao Zheng (4) Aikun Xu (4) Kangwook Lee (3) Qinghua Hu (3) Jaime Carbonell (3)

Research topics

Privacy (1)

Keywords

federated learning (6) active learning (6) dialogue system (3) label complexity (3) mistake bound (2) convolutional neural network (2) language model (2) statistical learning (2) passive learning (2) visual dialog (2) model compression (2) text matching (2) bayesian inference (2) semi-supervised learning (2) class imbalance (2) image generation (2) multimodal learning (2) multi-label classification (2) transfer learning (2) query complexity (2)

Papers

GIER: Addressing Class Imbalance in GNNs Through Experience Replay AAAI 2026 HiFC-GAN: Hierarchical Feature-Constrained GAN for Optical-to-SAR Transfer in SAR Target Classification AAAI 2026 Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective AAAI 2026 Reinforced Efficient Reasoning via Semantically Diverse Exploration ACL 2026 FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation AAAI 2026 Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning AAAI 2026 Long-Tailed Classification with Multi-Granularity Semantics ICCV 2025 How Well Can Transformers Emulate In-Context Newton’s Method? AISTATS 2025 Reliable Active Apprenticeship Learning ALT 2025 Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition ICML 2025 FineVQ: Fine-Grained User Generated Content Video Quality Assessment CVPR 2025 ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting IJCAI 2025 F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration ICCV 2025 HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models AAAI 2025 ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning AAAI 2025 An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks IJCAI 2025 FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning CVPR 2025 Looped Transformers are Better at Learning Learning Algorithms ICLR 2024 RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models NAACL 2024 HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs NAACL 2024 FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning NSDI 2023 Globally Consistent Federated Graph Autoencoder for Non-IID Graphs IJCAI 2023 Bandit Learnability can be Undecidable COLT 2023 Reliable and Interpretable Personalized Federated Learning CVPR 2023 Rare Gems: Finding Lottery Tickets at Initialization NIPS 2022 Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries AISTATS 2021 Flow-based Generative Models for Learning Manifold to Manifold Mappings AAAI 2021 SeqDialN: Sequential Visual Dialog Network in Joint Visual-Linguistic Representation Space ACL 2021 Long Range Arena : A Benchmark for Efficient Transformers ICLR 2021 SeqDialN: Sequential Visual Dialog Network in Joint Visual-Linguistic Representation Space IJCNLP 2021 Sparse Sinkhorn Attention ICML 2020 DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling EMNLP 2020 Statistical Learning under Nonstationary Mixing Processes AISTATS 2019 Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning IJCAI 2018 Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce ACL 2018 Diamond: Nesting the Data Center Network with Wireless Rings in 3D Space NSDI 2016 Sparse Probabilistic Matrix Factorization by Laplace Distribution for Collaborative Filtering IJCAI 2015 Semi-Supervised Low-Rank Mapping Learning for Multi-Label Classification CVPR 2015 Minimax Analysis of Active Learning JMLR 2015 Generating Supplementary Travel Guides from Social Media COLING 2014 Activized Learning with Uniform Classification Noise ICML 2013 Mining User Relations from Online Discussions using Sentiment Analysis and Probabilistic Matrix Factorization NAACL 2013 Buy-in-Bulk Active Learning NIPS 2013 The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011 Active Learning with a Drifting Distribution NIPS 2011 Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning COLT 2011 Negative Results for Active Learning with Convex Losses AISTATS 2010 Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization NIPS 2008