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Liu Yang

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

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (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) NAACL (3) ICML (3) NSDI (2) ICLR (2) ICCV (2) COLT (2) ACL (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) text matching (2) convolutional neural network (2) language model (2) class imbalance (2) passive learning (2) multi-label classification (2) image generation (2) semi-supervised learning (2) bayesian inference (2) mistake bound (2) visual dialog (2) model compression (2) multimodal learning (2) transfer learning (2) statistical learning (2) query complexity (2)

Papers

Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning AAAI 2026
FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation AAAI 2026
GIER: Addressing Class Imbalance in GNNs Through Experience Replay AAAI 2026
Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective AAAI 2026
HiFC-GAN: Hierarchical Feature-Constrained GAN for Optical-to-SAR Transfer in SAR Target Classification AAAI 2026
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting IJCAI 2025
HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models AAAI 2025
ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning AAAI 2025
How Well Can Transformers Emulate In-Context Newton’s Method? AISTATS 2025
Reliable Active Apprenticeship Learning ALT 2025
FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning CVPR 2025
FineVQ: Fine-Grained User Generated Content Video Quality Assessment CVPR 2025
F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration ICCV 2025
Long-Tailed Classification with Multi-Granularity Semantics ICCV 2025
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks IJCAI 2025
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition ICML 2025
HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs NAACL 2024
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
Reliable and Interpretable Personalized Federated Learning CVPR 2023
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
Rare Gems: Finding Lottery Tickets at Initialization NIPS 2022
SeqDialN: Sequential Visual Dialog Network in Joint Visual-Linguistic Representation Space IJCNLP 2021
Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries AISTATS 2021
Long Range Arena : A Benchmark for Efficient Transformers ICLR 2021
SeqDialN: Sequential Visual Dialog Network in Joint Visual-Linguistic Representation Space ACL 2021
Flow-based Generative Models for Learning Manifold to Manifold Mappings AAAI 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
Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce ACL 2018
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning IJCAI 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
Mining User Relations from Online Discussions using Sentiment Analysis and Probabilistic Matrix Factorization NAACL 2013
Buy-in-Bulk Active Learning NIPS 2013
Activized Learning with Uniform Classification Noise ICML 2013
Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning COLT 2011
The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011
Active Learning with a Drifting Distribution NIPS 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