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Conferences
Haifeng Chen
58 papers at tracked venues · 39 at CORE A* · active 2024–2026
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Venues
ACL
×8
SIGKDD
×7
ICLR
×6
NeurIPS
×6
AAAI
×5
IJCAI
×4
NAACL
×4
EACL
×3
EMNLP
×3
CVPR
×2
ICDM
×2
WWW
×2
ACM MM
×1
CIKM
×1
ICML
×1
SDM
×1
VLDB
×1
WSDM
×1
Frequent coauthors
Xianjun Yang
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×3
Haoyue Bai
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×2
Binchi Zhang
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×2
Dong Li
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×2
Xujiang Zhao
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×2
Jonathan Light
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×2
Nanxu Gong
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×2
ChengAo Shen
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×2
Cong Zeng
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×2
Yushan Jiang
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Chen Zhao
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×2
Fali Wang
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Papers
Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage
AAAI 2026
·
Haoyue Bai
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Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
EACL 2026
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Minhua Lin
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DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router
EACL 2026
·
Minghao Guo
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LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory
ACL 2026
·
Binchi Zhang
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Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation
WWW 2026
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Haoyue Bai
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MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
AAAI 2026
·
Dong Li
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Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models
ACL 2026
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Binchi Zhang
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Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
EACL 2026
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Wangyang Ying
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Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
ACL 2026
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Xuyuan Liu
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Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning
ACL 2026
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Renliang Sun
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Uncertainty-Aware Test-Time Search for Optimization Problem Solving
ACL 2026
·
Linlin Yu
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4th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM)
SIGKDD 2025
·
Xujiang Zhao
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AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment
CVPR 2025
·
Yan Li
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Chain-of-region: Visual Language Models Need Details for Diagram Analysis
ICLR 2025
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Xue Li
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Correlation-aware Online Change Point Detection
CIKM 2025
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Chengyuan Deng
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DISC: Dynamic Decomposition Improves LLM Inference Scaling
NeurIPS 2025
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Jonathan Light
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Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs
SDM 2025
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Ruomeng Ding
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Evolutionary Large Language Model for Automated Feature Transformation
AAAI 2025
·
Nanxu Gong
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Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
ACL 2025
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ChengAo Shen
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Harnessing Vision Models for Time Series Analysis: A Survey
IJCAI 2025
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Jingchao Ni
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Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
NeurIPS 2025
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Cong Zeng
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Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors
ICLR 2025
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Tianchun Wang
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Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model
AAAI 2025
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Peng Yuan
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Incorporating Interactive User Feedback Through Precision Matrix Adjustments for High-Dimensional Anomaly Detection
ICDM 2025
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Taylor Dinkins
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MixLLM: Dynamic Routing in Mixed Large Language Models
NAACL 2025
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Xinyuan Wang
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Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
NeurIPS 2025
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ChengAo Shen
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Multi-modal Time Series Analysis: A Tutorial and Survey
SIGKDD 2025
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Yushan Jiang
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Position Really Matters: Towards a Holistic Approach for Prompt Tuning
NAACL 2025
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Xianjun Yang
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SFS: Smarter Code Space Search improves LLM Inference Scaling
ICLR 2025
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Jonathan Light
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SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search
NeurIPS 2025
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Dong Li
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The 4th Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)
SIGKDD 2025
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Chen Zhao
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TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
AAAI 2025
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Geon Lee
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TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
NeurIPS 2025
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Yushan Jiang
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Uncertainty Propagation on LLM Agent
ACL 2025
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Qiwei Zhao
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Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
IJCAI 2025
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Nanxu Gong
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Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
CVPR 2025
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Haoyue Bai
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xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion
ICDM 2025
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Quan Li
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3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)
SIGKDD 2024
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Chen Zhao
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3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM)
SIGKDD 2024
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Xujiang Zhao
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A Survey on Detection of LLMs-Generated Content
EMNLP 2024
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Xianjun Yang
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DALD: Improving Logits-based Detector without Logits from Black-box LLMs
NeurIPS 2024
·
Cong Zeng
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DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton
ICML 2024
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Yiyou Sun
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DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
ICLR 2024
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Xianjun Yang
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Distantly-Supervised Joint Extraction with Noise-Robust Learning
ACL 2024
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Yufei Li
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Improving Multimodal Emotion Recognition by Leveraging Acoustic Adaptation and Visual Alignment
ACM MM 2024
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Zhixian Zhao
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InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
EMNLP 2024
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Fali Wang
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InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
VLDB 2024
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Fali Wang
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Interpretable Imitation Learning with Dynamic Causal Relations
WSDM 2024
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Tianxiang Zhao
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Large Language Models Can Be Contextual Privacy Protection Learners
EMNLP 2024
·
Yijia Xiao
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MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems
WWW 2024
·
Lecheng Zheng
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PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization
SIGKDD 2024
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Yuyang Ye
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POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning
SIGKDD 2024
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Junxiang Wang
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Parametric Augmentation for Time Series Contrastive Learning
ICLR 2024
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Xu Zheng
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Pruning as a Domain-specific LLM Extractor
NAACL 2024
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Nan Zhang
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Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows
IJCAI 2024
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Xuanming Hu
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Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
IJCAI 2024
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Yujie Lin
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Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
ICLR 2024
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Xu Zheng
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Uncertainty Quantification for In-Context Learning of Large Language Models
NAACL 2024
·
Chen Ling
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