Cheng Long
17 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (10)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(5)
🧬
Topic Evolution
🏆
Grand Slam
🗃️
Keyword Collector
(70)
💎
Century Club
(15)
🔥
Unstoppable
(5)
⚡
Prolific Year
(7)
Conferences
AAAI (6)
ICML (4)
IJCAI (2)
ACML (1)
ECCV (1)
ICCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
large language model
(3)
cross attention
(2)
few-shot segmentation
(2)
graph neural network
(2)
information bottleneck
(1)
prototype learning
(1)
representation learning
(1)
relation extraction
(1)
transfer learning
(1)
prompt engineering
(1)
semantic analysis
(1)
cross-modal learning
(1)
modality alignment
(1)
open information extraction
(1)
trajectory analysis
(1)
graph representation learning
(1)
sensor networks
(1)
state space model
(1)
convolutional neural network
(1)
mutual information
(1)
Papers
SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache
AAAI 2026
From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation
AAAI 2026
Unlocking the Power of SAM 2 for Few-Shot Segmentation
ICML 2025
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
AAAI 2025
Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion
ICML 2025
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era
IJCAI 2025
Arrow: Accelerator for Time Series Causal Discovery with Time Weaving
ICML 2025
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
AAAI 2025
Generalization in Federated Learning: A Conditional Mutual Information Framework
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
NIPS 2024
Self-Calibrated Cross Attention Network for Few-Shot Segmentation
ICCV 2023
Deep Graph Structural Infomax
AAAI 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