Wujiang Xu
12 papers · 2024–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
๐ Renaissance Researcher (5) ๐บ๏ธ Taxonomy Completionist (15) ๐งญ Keyword Pioneer ๐ Conference Polyglot (6) ๐ Interdisciplinary Bridge
๐
Cross-Pollinator
(12)
๐
Century Club
(11)
โก
Prolific Year
(8)
Conferences
ACL (3)
EACL (2)
ICLR (2)
ICML (2)
EMNLP (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
large language model
(2)
recommender system
(2)
user modeling
(2)
explanation generation
(1)
semantic matching
(1)
monte carlo tree search
(1)
generalization bound
(1)
propensity score
(1)
language model
(1)
bias-variance tradeoff
(1)
recommendation system
(1)
sparse autoencoder
(1)
feature interpretation
(1)
joint optimization
(1)
agent system
(1)
missing not at random
(1)
user profiling
(1)
llm agent
(1)
knowledge retention
(1)
persona modeling
(1)
Papers
GAM: Hierarchical Graph-based Agentic Memory for LLM Agents
ACL 2026
SAGE: An Agentic Explainer Framework for Interpreting SAE Features in Language Models
EACL 2026
I-MCTS: Enhancing Agentic AutoML via Introspective Monte Carlo Tree Search
EACL 2026
Answering Narrative-Driven Recommendation Queries via a RetrieveโRank Paradigm and the OCG-Agent
EMNLP 2025
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
ICLR 2025
From Commands to Prompts: LLM-based Semantic File System for AIOS
ICLR 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
Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding
ICML 2025
PersonaX: A Recommendation Agent-Oriented User Modeling Framework for Long Behavior Sequence
ACL 2025
iAgent: LLM Agent as a Shield between User and Recommender Systems
ACL 2025
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random
NIPS 2024