← Authors

Haifeng Chen

59 papers · 2017–2026 · 10 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (10) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (8) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (17) 🀝 Dynamic Duo (42) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (13) πŸ† Keyword Champion πŸ”₯ Unstoppable (9) ⚑ Prolific Year (8) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (262) πŸ“ˆ Trend Setter πŸ’Ž Century Club (54) πŸš€ Conference Pioneer

Conferences

AAAI (14) ICLR (9) IJCAI (8) EMNLP (6) NAACL (5) ACL (4) NIPS (4) CVPR (3) EACL (3) ICML (3)

Top co-authors

Wei Cheng (44) Yanchi Liu (23) Jingchao Ni (17) Wenchao Yu (16) Xujiang Zhao (14) Bo Zong (12) Zhengzhang Chen (11) Dongjin Song (11) Xuchao Zhang (8) Dongkuan Xu (8)

Keywords

large language model (14) unsupervised learning (5) multivariate time series (4) domain adaptation (3) named entity recognition (3) few-shot learning (3) in-context learning (3) gaussian mixture model (3) time series forecasting (3) node classification (3) surrogate model (3) multi-agent system (3) representation learning (3) graph neural network (3) multi-task learning (3) feature transformation (2) time series prediction (2) link prediction (2) zero-shot learning (2) time series (2)

Papers

Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement EACL 2026
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery AAAI 2026
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation EACL 2026
Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage AAAI 2026
DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router EACL 2026
Harnessing Vision Models for Time Series Analysis: A Survey IJCAI 2025
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming IJCAI 2025
Chain-of-region: Visual Language Models Need Details for Diagram Analysis ICLR 2025
SFS: Smarter Code Space Search improves LLM Inference Scaling ICLR 2025
Evolutionary Large Language Model for Automated Feature Transformation AAAI 2025
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents AAAI 2025
Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model AAAI 2025
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors ICLR 2025
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery ACL 2025
Uncertainty Propagation on LLM Agent ACL 2025
AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment CVPR 2025
Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content CVPR 2025
Position Really Matters: Towards a Holistic Approach for Prompt Tuning NAACL 2025
MixLLM: Dynamic Routing in Mixed Large Language Models NAACL 2025
Pruning as a Domain-specific LLM Extractor NAACL 2024
DALD: Improving Logits-based Detector without Logits from Black-box LLMs NIPS 2024
Distantly-Supervised Joint Extraction with Noise-Robust Learning ACL 2024
Large Language Models Can Be Contextual Privacy Protection Learners EMNLP 2024
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration EMNLP 2024
A Survey on Detection of LLMs-Generated Content EMNLP 2024
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks ICLR 2024
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text ICLR 2024
Parametric Augmentation for Time Series Contrastive Learning ICLR 2024
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton ICML 2024
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows IJCAI 2024
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments IJCAI 2024
Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data ACL 2023
Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NIPS 2023
Open-ended Commonsense Reasoning with Unrestricted Answer Candidates EMNLP 2023
Personalized Federated Learning under Mixture of Distributions ICML 2023
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings ICLR 2022
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph AAAI 2022
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021
Multi-Task Recurrent Modular Networks AAAI 2021
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling AAAI 2021
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems CVPR 2021
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation EMNLP 2021
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction EMNLP 2021
Unsupervised Concept Representation Learning for Length-Varying Text Similarity NAACL 2021
InfoGCL: Information-Aware Graph Contrastive Learning NIPS 2021
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval AAAI 2020
Inductive and Unsupervised Representation Learning on Graph Structured Objects ICLR 2020
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation AAAI 2020
Parameterized Explainer for Graph Neural Network NIPS 2020
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series AAAI 2020
Robust Graph Representation Learning via Neural Sparsification ICML 2020
Heterogeneous Graph Matching Networks for Unknown Malware Detection IJCAI 2019
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data AAAI 2019
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics IJCAI 2018
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection ICLR 2018
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction IJCAI 2017
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks IJCAI 2017