Shanshan Feng
15 papers · 2015–2026 · 8 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (40) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half
🌈
Renaissance Researcher
(7)
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(9)
Deep Learning
(8)
Artificial Intelligence
(7)
Learning Types · Machine Learning
(6)
Core AI
(5)
Learning Types · Deep Learning
(5)
Natural Language Processing
(4)
Core Methods
(3)
Learning Paradigms
(3)
Architectures
(2)
Generation
(2)
Optimization & Theory
(2)
Computer Science
(1)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Keywords
few-shot learning
(2)
contrastive learning
(2)
prototype learning
(2)
multi-agent reinforcement learning
(1)
continual learning
(1)
catastrophic forgetting
(1)
image generation
(1)
text representation
(1)
headline generation
(1)
online learning
(1)
image restoration
(1)
chain-of-thought reasoning
(1)
mathematical reasoning
(1)
knowledge transfer
(1)
constrained generation
(1)
multi-task learning
(1)
neural tangent kernel
(1)
class-incremental learning
(1)
representation learning
(1)
unsupervised learning
(1)
Papers
AdaMix: Adaptive Mixing for Short and Long Reasoning Adapters
ACL 2026
Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub
AAAI 2026
A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
ICML 2025
AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting
AAAI 2025
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contributions for Molecular Odor Prediction
IJCAI 2025
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding
AAAI 2024
LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
IJCAI 2024
PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning
CVPR 2023
Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing
COLING 2022
Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning
IJCAI 2022
Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning
AACL 2022
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
AAAI 2022
Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data
IJCAI 2021
A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC
EMNLP 2017
Personalized Ranking Metric Embedding for Next New POI Recommendation
IJCAI 2015