Ling Chen
65 papers · 2016–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (13) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π Academic Marathon (9)
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Keyword Pioneer
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Academic Marathon
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Dynamic Duo
(24)
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Topic Evolution
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(10)
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(14)
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(4)
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(292)
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Century Club
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Conferences
AAAI (12)
ACL (11)
EMNLP (11)
IJCAI (8)
NIPS (7)
ICLR (4)
NAACL (4)
EACL (2)
ICCV (2)
COLING (1)
ECCV (1)
MICCAI (1)
WACV (1)
Top co-authors
Keywords
large language model
(12)
text-based game
(6)
reinforcement learning
(6)
graph neural network
(5)
multimodal learning
(4)
knowledge graph
(3)
link prediction
(3)
representation learning
(3)
temporal reasoning
(3)
question answering
(3)
attention mechanism
(3)
language model
(3)
probabilistic framework
(2)
fraud detection
(2)
contrastive learning
(2)
gibbs sampling
(2)
semantic segmentation
(2)
zero-shot learning
(2)
domain adaptation
(2)
catastrophic forgetting
(2)
Papers
VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery
EACL 2026
MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-Training
ACL 2026
Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach
AAAI 2026
Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models
AAAI 2026
AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting
AAAI 2026
MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting
AAAI 2026
TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training
AAAI 2026
Benchmarking Web Agent Safety under E-commerce Deceptive Interfaces
ACL 2026
STA-CoT: Structured Target-Centric Agentic Chain-of-Thought for Consistent Multi-Image Geological Reasoning
EMNLP 2025
From Posts to Timelines: Modeling Mental Health Dynamics from Social Media Timelines with Hybrid LLMs
NAACL 2025
Monte Carlo Planning with Large Language Model for Text-Based Game Agents
ICLR 2025
MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents
NAACL 2025
Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies
NAACL 2025
MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
MICCAI 2025
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
IJCAI 2025
SpatialWebAgent: Leveraging Large Language Models for Automated Spatial Information Extraction and Map Grounding
ACL 2025
A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions
ACL 2025
Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models
ACL 2025
Detecting Conversational Mental Manipulation with Intent-Aware Prompting
COLING 2025
PresentAgent: Multimodal Agent for Presentation Video Generation
EMNLP 2025
Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement
EMNLP 2025
Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving
EMNLP 2025
Spiral of Silence in Large Language Model Agents
EMNLP 2025
Disentangled Pre-Training for Image Matting
WACV 2024
Human-Guided Moral Decision Making in Text-Based Games
AAAI 2024
Learning with Counterfactual Explanations for Radiology Report Generation
ECCV 2024
Large Language Models Are Neurosymbolic Reasoners
AAAI 2024
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
NIPS 2024
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
NIPS 2024
DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach
NIPS 2024
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
ACL 2024
RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering
ACL 2024
More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation
ACL 2024
Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data
ACL 2024
WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction
IJCAI 2024
MedINST: Meta Dataset of Biomedical Instructions
EMNLP 2024
Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering
EMNLP 2024
Self-imitation Learning for Action Generation in Text-based Games
EACL 2023
Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction
NIPS 2023
Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views
AAAI 2023
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition
AAAI 2023
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
AAAI 2023
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models
ACL 2023
Turn-Level Active Learning for Dialogue State Tracking
EMNLP 2023
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
EMNLP 2023
CITB: A Benchmark for Continual Instruction Tuning
EMNLP 2023
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
ICCV 2023
Stay Moral and Explore: Learn to Behave Morally in Text-based Games
ICLR 2023
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
ICLR 2022
Mask Matching Transformer for Few-Shot Segmentation
NIPS 2022
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games
ACL 2022
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics
NAACL 2022
A Multi-Mode Modulator for Multi-Domain Few-Shot Classification
ICCV 2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning
EMNLP 2021
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
NIPS 2020
Discrete Embedding for Latent Networks
IJCAI 2020
Relational State-Space Model for Stochastic Multi-Object Systems
ICLR 2020
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
AAAI 2020
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling
IJCAI 2020
Scalable Deep Generative Relational Model with High-Order Node Dependence
NIPS 2019
Low-Bit Quantization for Attributed Network Representation Learning
IJCAI 2019
Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection
AAAI 2019
Efficient Attributed Network Embedding via Recursive Randomized Hashing
IJCAI 2018
Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection
IJCAI 2017
Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings
IJCAI 2016