Xike Xie
17 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Academic Marathon (7) π Cross-Pollinator (11) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer
π
Renaissance Researcher
(5)
π
Conference Polyglot
(7)
ποΈ
Keyword Collector
(72)
π
Century Club
(15)
β‘
Prolific Year
(5)
Conferences
IJCAI (5)
AAAI (4)
ACL (4)
CVPR (1)
EMNLP (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
retrieval-augmented generation
(3)
knowledge graph
(3)
semantic segmentation
(2)
optimal transport
(2)
continual semantic segmentation
(2)
continual learning
(2)
out-of-distribution detection
(2)
large language model
(2)
prototype learning
(1)
natural language inference
(1)
multi-task learning
(1)
incremental learning
(1)
text-to-image generation
(1)
prompt learning
(1)
knowledge distillation
(1)
noisy label learning
(1)
semi-supervised learning
(1)
label noise
(1)
graph embedding
(1)
time series prediction
(1)
Papers
REAL: REtrieval-reAsoning and Logic-constructed Attention Behaviors for Long-Context KV Cache Compression
ACL 2026
KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering
ACL 2026
Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams
ICML 2025
SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved Context
EMNLP 2025
GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding
ACL 2025
FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs
ACL 2025
Prototype-based Optimal Transport for Out-of-Distribution Detection
IJCAI 2025
Mayfly: a Neural Data Structure for Graph Stream Summarization
ICLR 2024
Attacks on Continual Semantic Segmentation by Perturbing Incremental Samples
AAAI 2024
TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation
AAAI 2024
Prompt Learning with Extended Kalman Filter for Pre-trained Language Models
IJCAI 2024
Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning
IJCAI 2024
OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels
CVPR 2023
Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams
AAAI 2023
RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework
AAAI 2020
Inductive Link Prediction for Nodes Having Only Attribute Information
IJCAI 2020
Real-time Traffic Pattern Analysis and Inference with Sparse Video Surveillance Information
IJCAI 2018