Ling Chen

AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting AAAI 2026 Benchmarking Web Agent Safety under E-commerce Deceptive Interfaces ACL 2026 Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models AAAI 2026 M4V: Multimodal Mamba for Efficient Text-to-Video Generation CVPR 2026 MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-Training ACL 2026 MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting AAAI 2026 SuP: Sub-cloud Driven Point Cloud Registration CVPR 2026 TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training AAAI 2026 VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery EACL 2026 Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach AAAI 2026 A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions ACL 2025 Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving EMNLP 2025 Detecting Conversational Mental Manipulation with Intent-Aware Prompting COLING 2025 From Posts to Timelines: Modeling Mental Health Dynamics from Social Media Timelines with Hybrid LLMs NAACL 2025 Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies NAACL 2025 Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement EMNLP 2025 MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts MICCAI 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 PresentAgent: Multimodal Agent for Presentation Video Generation EMNLP 2025 SpatialWebAgent: Leveraging Large Language Models for Automated Spatial Information Extraction and Map Grounding ACL 2025 Spiral of Silence in Large Language Model Agents EMNLP 2025 STA-CoT: Structured Target-Centric Agentic Chain-of-Thought for Consistent Multi-Image Geological Reasoning EMNLP 2025 Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models ACL 2025 Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts IJCAI 2025 Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting NeurIPS 2024 Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments ACL 2024 DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach NeurIPS 2024 Disentangled Pre-Training for Image Matting WACV 2024 Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data ACL 2024 Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering EMNLP 2024 Human-Guided Moral Decision Making in Text-Based Games AAAI 2024 Large Language Models Are Neurosymbolic Reasoners AAAI 2024 Learning with Counterfactual Explanations for Radiology Report Generation ECCV 2024 MedINST: Meta Dataset of Biomedical Instructions EMNLP 2024 More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation ACL 2024 Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach NeurIPS 2024 RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering ACL 2024 WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction IJCAI 2024 CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models ACL 2023 CITB: A Benchmark for Continual Instruction Tuning EMNLP 2023 Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction NeurIPS 2023 How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances EMNLP 2023 Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views AAAI 2023 Self-imitation Learning for Action Generation in Text-based Games EACL 2023 Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation AAAI 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 SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition AAAI 2023 Turn-Level Active Learning for Dialogue State Tracking EMNLP 2023 Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics NAACL 2022 Mask Matching Transformer for Few-Shot Segmentation NeurIPS 2022 Perceiving the World: Question-guided Reinforcement Learning for Text-based Games ACL 2022 Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective ICLR 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 NeurIPS 2020 Discrete Embedding for Latent Networks IJCAI 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 Relational State-Space Model for Stochastic Multi-Object Systems ICLR 2020 Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection AAAI 2019 Low-Bit Quantization for Attributed Network Representation Learning IJCAI 2019 Scalable Deep Generative Relational Model with High-Order Node Dependence NeurIPS 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