Tianxin Wei
19 papers · 2022–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (30) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer
🧭
Keyword Pioneer
🏆
Grand Slam
🤝
Dynamic Duo
(11)
🗃️
Keyword Collector
(52)
⚡
Prolific Year
(7)
💎
Century Club
(15)
🔥
Unstoppable
(5)
Conferences
ICML (5)
ACL (4)
NIPS (3)
AAAI (2)
EACL (1)
EMNLP (1)
ICCV (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
uncertainty estimation
(3)
large language model
(3)
test-time adaptation
(3)
data augmentation
(2)
domain adaptation
(2)
vision-language model
(2)
graph neural network
(2)
federated learning
(2)
few-shot learning
(1)
knowledge distillation
(1)
contrastive learning
(1)
unsupervised learning
(1)
question answering
(1)
confidence calibration
(1)
attention mechanism
(1)
self-supervised learning
(1)
neural tangent kernel
(1)
thompson sampling
(1)
contextual bandit
(1)
corruption robustness
(1)
Papers
Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
ACL 2026
Harnessing Consistency for Robust Test-Time LLM Ensemble
EACL 2026
Panda: Test-Time Adaptation with Negative Data Augmentation
AAAI 2026
AdaFuse: Adaptive Ensemble Decoding for Large Language Models
ACL 2026
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
ICCV 2025
i$^2$VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation
UAI 2025
SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence
ACL 2025
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation
ACL 2025
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs
EMNLP 2025
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
ICML 2025
Graph4MM: Weaving Multimodal Learning with Structural Information
ICML 2025
Graph Mixup on Approximate Gromov–Wasserstein Geodesics
ICML 2024
TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation
AAAI 2024
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
ICLR 2024
Language Models as Semantic Indexers
ICML 2024
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning
ICML 2023
Meta-Learning with Neural Bandit Scheduler
NIPS 2023
Adaptive Test-Time Personalization for Federated Learning
NIPS 2023
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative
NIPS 2022