Cheng Long
17 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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Research topics
Deep Learning
(12)
Machine Learning
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Learning Types Β· Deep Learning
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Keywords
large language model
(3)
few-shot segmentation
(3)
cross attention
(2)
graph neural network
(2)
embedding space
(1)
information bottleneck
(1)
representation learning
(1)
self-supervised learning
(1)
transfer learning
(1)
graph representation learning
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relation extraction
(1)
prompt engineering
(1)
semantic analysis
(1)
cross-modal learning
(1)
open information extraction
(1)
prototype learning
(1)
modality alignment
(1)
sequence classification
(1)
time series
(1)
graph structure
(1)
Papers
From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation
AAAI 2026
SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache
AAAI 2026
Arrow: Accelerator for Time Series Causal Discovery with Time Weaving
ICML 2025
Generalization in Federated Learning: A Conditional Mutual Information Framework
ICML 2025
Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion
ICML 2025
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
AAAI 2025
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
AAAI 2025
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era
IJCAI 2025
Unlocking the Power of SAM 2 for Few-Shot Segmentation
ICML 2025
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
ICLR 2024
Eliminating Feature Ambiguity for Few-Shot Segmentation
ECCV 2024
Hybrid Mamba for Few-Shot Segmentation
NeurIPS 2024
Deep Graph Structural Infomax
AAAI 2023
Self-Calibrated Cross Attention Network for Few-Shot Segmentation
ICCV 2023
A Survey on Neural Open Information Extraction: Current Status and Future Directions
IJCAI 2022
Multi-scale Progressive Gated Transformer for
Physiological Signal Classification
ACML 2022
Learning to Generate Maps from Trajectories
AAAI 2020