Tianxin Wei

19 papers · 2022–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (41) 🏆 Grand Slam 🤝 Dynamic Duo (15)

🗃️ Keyword Collector (87) 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 🌈 Renaissance Researcher (5) 💎 Century Club · Bronze

Venues

ICML (5) ACL (4) NeurIPS (3) AAAI (2) EACL (1) EMNLP (1) ICCV (1) ICLR (1) UAI (1)

Top co-authors

Jingrui He (15) Hanghang Tong (6) Ruizhong Qiu (5) Zhining Liu (5) Xuying Ning (5) Wenxuan Bao (3) Ruirui Li (3) Xiao Lin (3) Zhichen Zeng (3) Xianfeng Tang (3)

Research topics

Machine Learning (12) Artificial Intelligence (9) Deep Learning (8) Application Areas (7) Core AI (7) Learning Types · Machine Learning (5) Natural Language Processing (4) Core Methods (4) Learning Paradigms (4) Learning Types · Deep Learning (4) Data Science & Analytics (3) Architectures (3) Applications · Natural Language Processing (2) Applications · Data Science & Analytics (2) Optimization & Theory (2)

Keywords

large language model (4) test-time adaptation (3) uncertainty estimation (3) federated learning (3) vision-language model (3) data augmentation (2) contrastive learning (2) self-supervised learning (2) domain adaptation (2) graph neural network (2) language model (2) adaptive fusion (2) confidence calibration (1) question answering (1) few-shot learning (1) knowledge distillation (1) unsupervised learning (1) attention mechanism (1) thompson sampling (1) neural tangent kernel (1)

Papers

AdaFuse: Adaptive Ensemble Decoding for Large Language Models ACL 2026 Harnessing Consistency for Robust Test-Time LLM Ensemble EACL 2026 Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents ACL 2026 Panda: Test-Time Adaptation with Negative Data Augmentation AAAI 2026 Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting ICML 2025 Graph4MM: Weaving Multimodal Learning with Structural Information ICML 2025 i$^2$VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation UAI 2025 Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning ICCV 2025 Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs EMNLP 2025 LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation ACL 2025 SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence ACL 2025 Graph Mixup on Approximate Gromov–Wasserstein Geodesics ICML 2024 Language Models as Semantic Indexers 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 Adaptive Test-Time Personalization for Federated Learning NeurIPS 2023 Meta-Learning with Neural Bandit Scheduler NeurIPS 2023 NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning ICML 2023 Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative NeurIPS 2022