Jiajie Xu
22 papers · 2018–2026 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Conference Polyglot (5) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (7)
π
Interdisciplinary Bridge
π
Conference Polyglot
(5)
π
Academic Marathon
(7)
ποΈ
Keyword Collector
(79)
π
Conference Pioneer
π
Century Club
(17)
π₯
Unstoppable
(5)
β‘
Prolific Year
(8)
Conferences
IJCAI (8)
ACL (7)
AAAI (3)
EMNLP (3)
ECCV (1)
Top co-authors
Keywords
large language model
(4)
collaborative filtering
(2)
recurrent neural network
(2)
sequential recommendation
(2)
attention mechanism
(2)
representation learning
(2)
retrieval-augmented generation
(2)
poi recommendation
(2)
reinforcement learning
(2)
knowledge transfer
(1)
self-supervised learning
(1)
model compression
(1)
transfer learning
(1)
language model training
(1)
neural network pruning
(1)
ai safety
(1)
spatio-temporal modeling
(1)
few-shot learning
(1)
automated reasoning
(1)
cross-modal transfer
(1)
Papers
TIV: Thought Injection via Vectors for Efficient Reasoning in Large Reasoning Models
AAAI 2026
ReTRE: Benchmarking LLM Transfer Robustness with Structure-Preserving Variants
ACL 2026
Active Multi-source Domain Adaptation for Multimodal Fake News Detection
AAAI 2026
RSDA: Restoring Stale Data Affinity via Dynamic Renovation Strategy for Mitigating Data Scarcity
ACL 2026
KCVR: Knowledge-Centric Video Reconstruction for Structured Pedagogical Summarization via Dynamic Graph Planning
ACL 2026
DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation
ACL 2025
LegalReasoner: Step-wised Verification-Correction for Legal Judgment Reasoning
ACL 2025
Making RALM Robust to Irrelevant Contexts via Layer Knowledge Guided Attention
ACL 2025
DASS: A Dual-Branch Attention-based Framework for Trajectory Similarity Learning with Spatial and Semantic Fusion
IJCAI 2025
Benchmarking Multi-National Value Alignment for Large Language Models
ACL 2025
DIDS: Domain Impact-aware Data Sampling for Large Language Model Training
EMNLP 2025
PIP: Perturbation-based Iterative Pruning for Large Language Models
EMNLP 2025
FinEval-KR: A Financial Domain Evaluation Framework for Large Language Modelsβ Knowledge and Reasoning
EMNLP 2025
MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation
IJCAI 2022
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark
ECCV 2022
MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation
IJCAI 2021
Collaborative Self-Attention Network for Session-based Recommendation
IJCAI 2020
Graph Contextualized Self-Attention Network for Session-based Recommendation
IJCAI 2019
Profit-driven Task Assignment in Spatial Crowdsourcing
IJCAI 2019
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
AAAI 2019
Feature-level Deeper Self-Attention Network for Sequential Recommendation
IJCAI 2019
LC-RNN: A Deep Learning Model for Traffic Speed Prediction
IJCAI 2018