Haifeng Chen's Home

Haifeng's Publications

2026

A Bellur, M Ullah, …, M Morimoto, K Ishikawa, H Chen, …, D Dig. CoRenameAgent: A Human-In-The-Loop, Multi-Agent Tool for Coordinated Rename Refactoring . The ACM International Conference on the Foundations of Software Engineering (FSE 2026). PDF
Y Mohammad, H Chen. Automated Negotiation and Multimodal Time-Series Forecasting for Efficient Procurement . The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) Demonstration Track, Cyprus. PDF
P Xia, J Chen, H Wang, J Liu, K Zeng, Y Wang, S Han, Y Zhou, X Zhao, H Chen, Z Zheng, C Xie, H Yao. SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning. ICLR 2026 Workshop on Lifelong Agents: Learning, Aligning, Evolving. PDF
H Bai, H Wang, S Chen, Z Chen, L Tang, W Cheng, Y Fu, H Chen. Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation. The ACM Web Conference 2026, (WWW'26). PDF
M Guo, Q Zeng, X Zhao, Y Liu, W Yu, M Du, H Chen, W Cheng. DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router. The Conference of the European Chapter of the Association for Computational Linguistics (EACL’26). PDF
W. Ying, Y Liu, X Zhao, W Cheng, Z Chen, W Yu, Y Fu, H Chen. Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement. The Conference of the European Chapter of the Association for Computational Linguistics (EACL’26). PDF
M Lin, Z Chen, Y Liu, X Zhao, Z Wu, J Wang, X Zhang, S Wang, H Chen. Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. The Conference of the European Chapter of the Association for Computational Linguistics (EACL’26). PDF
H Bai, G Chen, W Ying, X Wang, N Gong, S Dong, G Pedrielli, H Wang, H Chen, Y Fu. Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO $_2$ Storage. The 2026 AAAI International Conference on Artificial Intelligence (AAAI'26). PDF
D Li, Z Chen, X Zhao, L Yu, Z Chen, Y He, H Chen, C Zhao. MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery. The 2026 AAAI International Conference on Artificial Intelligence (AAAI'26). PDF
X Wang, D Wang, W Ying, R Xie, H Chen, Y Fu. Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent. IEEE Transactions on Big Data. PDF

2025

J Light, W Cheng, B Riviere, Y Wu, M Oyamada, M Wang, Y Yue, S Paternain, H Chen. Multi-DISC: Dynamic Decomposition Improves LLM Inference Scaling. 2025 Conference on Neural Information Processing Systems (NeurIPS'2025). PDF
S Tang, C Zeng, Y Chen, Z Shen, W Yu, X Zhao, H Chen, W Cheng, Z Xu. Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection. 2025 Conference on Neural Information Processing Systems (NeurIPS'2025). PDF
Y Jiang, W Yu, G Lee, D Song, K Shin, W Cheng, Y Liu, H Chen. Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop. 2025 Conference on Neural Information Processing Systems (NeurIPS'2025). PDF
D Li, X Zhao, L Yu, Y Liu, W Cheng, Z Chen, Z Chen, F Chen, C Zhao, H Chen. SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search. 2025 Conference on Neural Information Processing Systems (NeurIPS'2025). PDF
C Shen, W Yu, Z Zhao, D Song, W Cheng, H Chen, J Ni. Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting. 2025 Conference on Neural Information Processing Systems (NeurIPS'2025). PDF
Y Mohammad, H Chen, R Higa, T Ando, S Morinaga, Generative AI for Automated Negotiation. Journal of Innovation, November 2025. PDF
H Bai, H Wang, N Gong, X Wang, W Ying, H Chen, Y Fu. Supply Chain Optimization via Generative Simulation and Iterative Decision Policies. 2025 Winter Simulation Conference (WSC'25). PDF
Q Li, W Yu, S Wang, M Lin, L Chen, W Cheng, H Chen. Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion. 2025 IEEE International Conference on Data Mining (ICDM'2025). PDF
T Dinkins, W Wong, H Chen, Y Liu, K Ishikawa. Incorporating Interactive User Feedback through Precision Matrix Adjustments for High-Dimensional Anomaly Detection. 2025 IEEE International Conference on Data Mining (ICDM'2025). PDF
C Deng, Z Chen, X Zhao, H Wang, J Wang, J Gao, H Chen. Correlation-aware Online Change Point Detection. the 34th ACM International Conference on Information and Knowledge Management (CIKM'2025). PDF
C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang, T Chowdhury, Y Li, H Cui, X Zhang, T Zhao, A Panalkar, W Cheng, H Wang, Y Liu, Z Chen, H Chen, C White, Q Gu, C Yang, L Zhao. Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey. ACM Computing Surveys, Vol 58 Issue 3 2025. PDF
A Bellur, F Batole, M Ullah, M Dilhara, Y Zharov, T Bryksin, K Ishikawa, H Chen, M Morimoto, S Motoura, T Hosomi, T Nguyen, H Rajan, N Tsantalis, D Dig. Leveraging LLMs, IDEs, and Semantic Embeddings for Automated Move Method Refactoring. 2025 International Conference on Software Maintenance and Evolution (ICSME'25). PDF
J Wang, X Zheng, Z Chen, M Natsumeda, J Nishioka, D Luo, H Chen. ICeTEA: Mixture of Detectors for Metric-Log Anomaly Detection. 2025 KDD MILETS Workshop. PDF
C Shen, Z Chen, D Luo, D Xu, H Chen, J Ni. Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL'2025). PDF
Q Zhao, D Li, Y Liu, W Cheng, Y Sun, M Oishi, T Osaki, K Matsuda, H Yao, C Zhao, H Chen, X Zhao. Uncertainty Propagation on LLM Agent. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL'2025). PDF
J Ni, Z Zhao, C Shen, H Tong, D Song, W Cheng, D Luo, H Chen. Harnessing Vision Models for Time Series Analysis: A Survey. The 34th International Joint Conference on Artificial Intelligence (IJCAI'2025). PDF
N Gong, X Wang, W Ying, H Bai, S Dong, H Chen, Y Fu. Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming. The 34th International Joint Conference on Artificial Intelligence (IJCAI'2025). PDF
J Light, W Cheng, Y Wu, M Oyamada, M Wang, S Paternain, H Chen. DISC: Dynamic Decomposition Improves LLM Inference Scaling. 2025 ICLR Workshop on Scaling Self-Improving Foundation Models without Human Supervision (SSI-FM'2025). PDF
H Bai, Y Sun, W Cheng, H Chen. Where's the liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content. 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’25). PDF
X Yang, W Cheng, X Zhao, W Yu, L Petzold, H Chen. Position Really Matters: Towards a Holistic Approach for Prompt Tuning. 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL’25). PDF
X. Wang, Y. Liu, W Cheng, X Zhao, Z Chen, W Yu, Y Fu, H Chen. MixLLM: Dynamic Routing in Mixed Large Language Models. 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL’25). PDF
X Li, Y Sun, W Cheng, Y Zhu, H Chen. Chain-of-region: Visual Language Models Need Details for Diagram Analysis. The Thirteenth International Conference on Learning Representations (ICLR'2025). PDF
J Light, Y Wu, Y Sun, W Yu, Y Liu, X Zhao, Z Hu, H Chen, W Cheng. Scattered Forest Search: Smarter Code Space Exploration with LLMs Scaling Inference. The Thirteenth International Conference on Learning Representations (ICLR'2025). PDF
T Wang, Y Chen, Z Liu, Z Chen, H Chen, X Zhang, W Cheng. Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. The Thirteenth International Conference on Learning Representations (ICLR'2025). PDF
T Wang, D Luo, W Cheng, H Chen, X Zhang. DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions. ACM Transactions on Knowledge Discovery from Data, Volume 19, Issue 4, 2025. PDF
R Ding, X Zhao, C Zhao, M Shao, Z Chen, H Chen. Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs. 2025 SIAM International Conference on Data Mining (SDM'25). PDF
G Lee, W Yu, K Shin, W Cheng, H Chen. TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents. The 2025 AAAI International Conference on Artificial Intelligence (AAAI'25). PDF
N Gong, C Reddy, W Ying, H Chen, Y Fu. Evolutionary Large Language Model for Automated Feature Transformation. The 2025 AAAI International Conference on Artificial Intelligence (AAAI'25). PDF

2024

C Zeng, S Tang, X Yang, Y Chen, Y Sun, Z Xu, Y Li, H Chen, W Cheng, D Xu. Improving Logits-based Detector without Logits from Black-box LLMs. 2024 Conference on Neural Information Processing Systems (NeurIPS'2024). PDF
Y Xiao, Y Jin, Y Bai, Y Wu, X Yang, X Luo, W Yu, X Zhao, Y Liu, Q Gu, H Chen, W Wang, W Cheng. Large Language Models Can Be Contextual Privacy Protection Learners. 2024 Empirical Methods in Natural Language Processing (EMNLP'24). PDF
X Yang, L Pan, X Zhao, H Chen, L Petzold, W Wang, W Cheng. A Survey on Detection of LLMs-Generated Content. 2024 Empirical Methods in Natural Language Processing (EMNLP'24). PDF
F Wang, R Bao, S Wang, W Yu, Y Liu, W Cheng, H Chen. InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. 2024 Empirical Methods in Natural Language Processing (EMNLP'24). PDF
Y Lin, C Zhao, M Shao, B Meng, X Zhao, H Chen. Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments. The 33th International Joint Conference on Artificial Intelligence (IJCAI'2024). PDF
X Hu, W Fan, H Chen, P Wang, Y Fu. Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows. The 33th International Joint Conference on Artificial Intelligence (IJCAI'2024). PDF
Y Sun, J Hu, W Cheng, H Chen. DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton. 2024 International Conference on Machine Learning (ICML'24). PDF
J Wang, G Bai, W Cheng, Z Chen, L Zhao, H Chen. POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'24). PDF
C Ling, X Zhao, W Cheng, Y Liu, Y Sun, X Zhang, M Oishi, T Osaki, K Matsuda, J Ji, G Bai, L Zhao, H Chen. Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'24). PDF
N Zhang, Y Liu, X Zhao, W Cheng, R Bao, R Zhang, P Mitra, H Chen. Generality and Specificity: Pruning as a Domain-specific LLM Extractor. 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'24). PDF
D Luo, T Zhao, W Cheng, D Xu, F Han, W Yu, X Liu, H Chen, X Zhang. Towards Inductive and Efficient Explanations for Graph Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 46 Issue 8, 2024. PDF
X Zheng, T Wang, W Cheng, A Ma, H Chen, M Sha, D Luo. Parametric Augmentation for Time Series Contrastive Learning. 2024 International Conference on Learning Representations (ICLR'24). PDF
X Zheng, F Shirani, T Wang, W Cheng, Z Chen, H Chen, H Wei, D Luo. Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. 2024 International Conference on Learning Representations (ICLR'24). PDF
X Yang, W Cheng, L Petzold, W Wang, H Chen. DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. 2024 International Conference on Learning Representations (ICLR'24). PDF
C Ling, X Zhao, X Zhang, Y Liu, W Cheng, H Wang, Z Chen, M Oishi, T Osaki, K Matsuda, L Zhao, H Chen. Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty. ICLR 2024 Workshop on Reliable and Responsible Foundation Model. PDF
L Zheng, Z Chen, J He, H Chen. MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. 2024 ACM Web Conference. (WWW'2024). PDF
X Zheng, F Shirani, T Wang, W Cheng, Z Chen, H Chen, H Wei, D Luo. Towards Robust Fidelity for Evaluating Explainability. The Second Workshop on Trustworthy Learning on Graphs with WWW 2024. PDF.
T Wang, D Luo, W Cheng, H Chen, X Zhang. DyExplainer: Explainable Dynamic Graph Neural Networks. The 17th ACM International WSDM Conference, (WSDM'2024). PDF
T Zhao, W Yu, S Wang, L Wang, X Zhang, Y Chen, Y Liu, W Cheng, H Chen. Interpretable Imitation Learning with Dynamic Causal Relations. The 17th ACM International WSDM Conference. (WSDM'2024). PDF

2023

Y Zhang, J Ni, W Cheng, Z Chen, L Tong, H Chen, Y Liu. Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. 2023 Conference on Neural Information Processing Systems (NeurIPS'2023). PDF
C Ling, X Zhang, X Zhao, Y Liu, W Cheng, T Osaki, K Matsuda, H Chen, L Zhao. Open-ended Commonsense Reasoning with Unrestricted Answer Candidates. 2023 Empirical Methods in Natural Language Processing (EMNLP'23). PDF
T Zhao, W Yu, S Wang, L Wang, X Zhang, Y Chen, Y Liu, W Cheng, H Chen. Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations . 2023 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’2023), Long Beach, CA, USA, Aug 06-10, 2023. PDF
Y Jiang, W Yu, D Song, L Wang, W Cheng, H Chen. Privacy Preserved Interpretable Skill Learning via Imitation . 2023 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’2023), Long Beach, CA, USA, Aug 06-10, 2023. PDF
D Wang, Z Chen, Y Fu, Y Liu, H Chen. Incremental Causal Graph Learning for Online Unsupervised Root Cause Analysis . 2023 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’2023), Long Beach, CA, USA, Aug 06-10, 2023. PDF
D Wang, Z Chen, Y Fu, Y Liu, H Chen. Interdependent Causal Networks for Unsupervised Root Cause Localization . 2023 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’2023), Long Beach, CA, USA, Aug 06-10, 2023. PDF
X Zheng, T Wang, W Cheng, A Ma, H Chen, M Sha, D Luo. AutoTCL: Automated Time Series Contrastive Learning with Adaptive Augmentations. The 2nd Workshop of Artificial Intelligence for Time Series Analysis (AI4TS): Theory, Algorithms, and Applications, 2023. PDF
Y Xiao, Y Jin, Y Bai, Y Wu, X Yang, X Luo, W Yu, X Zhao, Y Liu, Q Gu, H Chen, W Wang, Wei Cheng. Large Language Models Can Be Good Privacy Protection Learners. 2023 Southern California NLP Symposium. PDF
X Yang, K Zhang, H Chen, L Petzold, W Wang, W Cheng. Zero-Shot Detection of Machine-Generated Codes. 2023 Southern California NLP Symposium. PDF
Y Li, X Yu, Yi Liu, H Chen, C Liu. Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data . Annual Meeting of the Association for Computational Linguistics (ACL) 2023, Toronto, Canada, July 9-14, 2023 PDF
Y Wu, S Zhang, W Yu, Y Liu, Q Gu, D Zhou, H Chen, W Cheng. Personalized Federated Learning under Mixture of Distributions . The Fortieth annual conference on machine learning (ICML'23), Hawaii, USA, July 23-29, 2023 PDF
X Zhao, X Zhang, C Zhao, J Cho, L Kaplan, D Jeong, A Jøsang, H Chen, F Chen. Multi-Label Temporal Evidential Neural Networks for Early Event Detection. . In the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing. (ICASSP'23). PDF
Y Jiang, W Yu, D Song, W Cheng, H Chen. Interpretable Skill Learning for Dynamic Treatment Regimes Through Imitation . Invited paper at 57th Annual Conference on Information Science and Systems (CISS 2023). Baltimore, MD, March 22-24, 2023 Link
M Natsumeda, T Mizoguchi, W Cheng, Y Chen, H Chen. Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning. the 26th International Conference on Information Fusion, 2023. PDF
Y Li, Y Liu, H Wang, Z Chen, W Cheng, Y Chen, W Yu, H Chen, C Liu. GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection. IEEE International Conference on Knowledge Graph, 2023. PDF
Y Lin, C Zhao, M Shao, X Zhao, H Chen. Adaptation Speed Analysis for Fairness-aware Causal Models, the 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023). PDF
C Ling, X Zhang, X Zhao, Y Wu, Y Liu, W Cheng, H Chen, Z Liang. Knowledge-enhanced Prompt for Open-domain Commonsense Reasoning. . In AAAI'23 Workshop on Uncertainty Reasoning and Quantification in Decision Making PDF
D Luo, W Cheng, Y Wang, D Xu, J Ni, W Yu, X Zhang, Y Liu, Y Chen, H Chen, X Zhang. Time Series Contrastive Learning with Information-Aware Augmentations. . In 2023 AAAI International Conference on Artificial Intelligence (AAAI'23) PDF

2022

Y Li, Z Chen, D Zha, K Zhou, H Jin, H Chen, X Hu. Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning. . IEEE Trans. Neural Networks Learn. Syst. 33(6): 2365-2377 (2022) Link
W Zhu, D Song, Y Chen, W Cheng, B Zong, T Mizoguchi, C Lumezanu, H Chen, J Luo. Deep Federated Anomaly Detection for Multivariate Time Series Data. . 2022 IEEE international conference on big data, Osaka, Japan, December 17-20, 2022 PDF
S Wang, Z Chen, J Ni, H Chen, P Yu. Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. . 2022 IEEE international conference on big data, Osaka, Japan, December 17-20, 2022 Link
C Ling, T Chowdhury, J Jiang, J Wang, X Zhang, H Chen, L Zhao. DeepGAR: Deep Graph Learning for Analogical Reasoning. . The 2022 edition of the IEEE International Conference on Data Mining series (ICDM'22), 2022 PDF
T Wang, W Cheng, D Luo, W Yu, J Ni, L Tong, H Chen, X Zhang. Personalized Federated Learning via Heterogeneous Modular Networks. . The 2022 edition of the IEEE International Conference on Data Mining series (ICDM'22), 2022 PDF
J Hao, L Tang, Y Sun, Z Chen, H Chen, J Rhee, Z Li, W Wang. Multi-source Inductive Knowledge Graph Transfer. . European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'22), 2022 PDF
P Yuan, L Tang, H Chen, M Sato, K Woodward. Explainable Anomaly Detection System for Categorical Sensor Data in Internet of Things. . European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'22), 2022 PDF
P Yuan, L Tang, H Chen, M Sato, K Woodward. 3D Histogram Based Anomaly Detection for Categorical Sensor Data in Internet of Things. . Open J. Internet Things 8(1): 32-43 (2022) PDF
Y Li, Z Chen, D Zha, M Du, J Ni, D Zhang, H Chen, X Hu. Towards Learning Disentangled Representations for Time Series. . Proceedings of the 28th ACM SIGKDD international conference on knowledge discovery and data mining, Washington DC, August 14-18, 2022 PDF
S Zhang, Y Liu, X Zhang, W Cheng, H Chen, H Xiong. CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences. . Proceedings of the 28th ACM SIGKDD international conference on knowledge discovery and data mining, Washington DC, August 14-18, 2022 Link
P Li, X Zhang, Z Yao, W Cheng, H Chen, H Liu. Code Editing from Few Exemplars by Adaptive Multi-Extent Composition. . In ICLR Workshop of Deep Learning For Code (ICLR'22 Workshop), 2022. PDF
J Ni, W Cheng, Z Chen, T Asakura, T Soma, S Kato, H Chen. Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings . In the the 10th International Conference on Learning Representations. (ICLR'22) PDF
X Zhao, X Zhang, W Cheng, W Yu, Y Chen, H Chen, F Chen. SEED: Sound Event Early Detection via Evidential Uncertainty . In the the 2022 IEEE International Conference on Acoustics, Speech and Signal Processing. (ICASSP'22) PDF
L Xu, X Zhang, B Zong, Y Liu, W Cheng, J Ni, H Chen, L Zhao, J Choi. Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph . In the the 36th AAAI Conference on Artificial Intelligence (AAAI'22) PDF

2021

L Xu, X Zhang, B Zong, Y Liu, W Cheng, J Ni, H Chen, L Zhao, J Choi. Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph . In the the 36th AAAI Conference on Artificial Intelligence (AAAI'22) PDF
D Xu, W Cheng, D Luo, H Chen, X Zhang. InfoGCL: Information-Aware Graph Contrastive Learning . In the Advances in Neural Information Processing Systems (NeurIPS 2021) PDF
Z Li, W Cheng, R Kshetramade, J Houser, H Chen and W Wang. Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction . In the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP'21) PDF
L Xu, X Zhang, X Zhao, H Chen, F Chen and J Choi. Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation . In the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP'21) PDF
Y. Li, Z. Chen, D. Zha, K. Zhou, H. Jin, H. Chen, and X. Hu. AutoAD: Automated Anomaly Detection via Curiosity-guided Search and Self-imitation Learning . IEEE Transactions on Neural Networks and Learning Systems PDF
Z. Li, W. Cheng, H. Xiao, W. Yu, H. Chen, W. Wang. You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation . In the Conference on Information and Knowledge Management (CIKM'21) PDF
J. Ni, Z. Chen, W. Cheng, B. Zong, D. Song, Y. Liu, X. Zhang, H. Chen. Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization . In the Conference on Information and Knowledge Management (CIKM'21) PDF
L Cai, Z. Chen , C. Luo , J. Gui, J. Ni , D. Li , H. Chen. Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs . In the Conference on Information and Knowledge Management (CIKM'21) PDF
Z. Wang, Z. Chen, J. Ni, H. Liu, H. Chen, and J. Tang. Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection . In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SigKDD'21) PDF
D. Zhang, Z. Yuan, Y. Liu, H. Liu, Z. Fu, F. Zhuang, H. Xiong, H. Chen. Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment . In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SigKDD'21) PDF
L. Wang, W. Yu, W. Cheng, B. Zong and H. Chen. Hierarchical Imitation Learning with Contextual Bandits for Dynamic Treatment Regimes . In ICML Workshop of Reinforcement Learning for Real Life (ICML Workshop), 2021 PDF
X. Zhang, B. Zong, W. Cheng, J. Ni, Y. Liu and H. Chen. Unsupervised Concept Representation Learning for Length-Varying Text Similarity. . In Proceedings of The 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT'21) PDF
X. Feng, D. Song, Y. Chen, Z. Chen, J. Ni, and H. Chen. Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection . in Proceedings of the 29th ACM International Conference on Multimedia (ACMMM), 2021 PDF
L. Tong, Z. Chen, J. Ni, W. Cheng, D. Song, Y. Vorobeychik, H. Chen. FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems . In Proceedings of the 2021 Conference on Computer Vision and Pattern Recognition (CVPR'21) PDF
Y. Li, Z. Chen, D. Zha, K. Zhou, H. Jin, H. Chen, and X. Hu. AutoOD: Neural Architecture Search for Outlier Detection . in Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE'21) PDF
D. Xu, W. Cheng, J. Ni, D. Luo, M. Natsumeda, D. Song, B. Zong, H. Chen, X. Zhang. Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection . In Proceedings of the 21th SIAM International Conference on Data Mining (SDM'21) PDF
D. Xu, J. Liang, W. Cheng, H. Wei, H. Chen, X. Zhang. Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling . The 2021 AAAI International Con-ference on Artificial Intelligence (AAAI’21) PDF
D. Xu, W. Cheng, B. Zong, W. Yu, J. Ni, D. Song, X. Zhang, H. Chen, X. Zhang. Multi-Task Recurrent Modular Networks . The 2021 AAAI International Con-ference on Artificial Intelligence (AAAI’21) PDF
Y. Wu, J. Ni, W. Cheng, B. Zong, Z. Chen, D. Song, H. Chen. Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series . The 2021 AAAI International Con-ference on Artificial Intelligence (AAAI’21) PDF
X. Han, X. Yu, T. Pasquier, D. Li, J. Rhee, J. Mickens, M. Seltzer, and H. Chen. SIGL: Securing Software Installations Through Deep Graph Learning . 30th USENIX Security Symposium (USENIX Security’21). PDF
D. Luo, W. Cheng, W. Yu, B. Zong, J. Ni, H. Chen, X. Zhang. Learning to Drop: Robust Graph Neural Network via Topological Denoising . The 14th ACM International WSDM Conference (WSDM'21), 2021. PDF

2020

D. Luo, W. Cheng, D. Xu, W. Yu, B. Zong, H. Chen, X. Zhang. Parameterized Explainer for Graph Neural Network . Conference on Neural Information Processing Systems (NeurIPS'20), 2020. PDF
D. Zhang, Y. Liu, W. Cheng, B. Zong, J. Ni, Z. Chen, H. Chen, H. Xiong T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. . The 2020 edition of the IEEE International Conference on Data Mining series (ICDM'20) PDF
K. Kim, C H. Kim, J. Rhee, X. Yu, H .Chen, D. Tian , B. Lee. VESSELS: Efficient and Scalable Deep Learning Prediction on Trusted Processors. . ACM Symposium on Cloud Computing 2020 (SoCC 2020) 2020 PDF
J. Gui, Z. Chen, X. Yu, C. Lumezanu, and H. Chen. Anomaly Detection on Web-User Behaviors through Deep Learning . 16th EAI International Conference on Security and Privacy in Communication Networks (SecureComm’20) 2020 PDF
B. Dong, C. Lumezanu, Y. Chen, D. Song, T. Mizoguchi, H. Chen, L. Khan. At the Speed of Sound: Efficient Audio Scene Classification . The Annual ACM International Conference on Multimedia Retrieval (ICMR 2020) 2020 PDF
C. Zheng, B. Zong, W. Cheng, D. Song, J. Ni, W. Yu, H. Chen, W. Wang. Robust Graph Representation Learning via Neural Sparsification. . International Conference on Machine Learning (ICML'20), 2020. PDF
C. Zheng, B. Zong, W. Cheng, D. Song, J. Ni, W. Yu, H. Chen, W. Wang. Node Classification in Temporal Graphs through Stochastic Sparsification and Temporal Structural Convolution. . European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'20), 2020. PDF
M. Natsumeda, H. Chen. RULENet: End-to-end Learning with the Dual-estimator for Remaining Useful Life Estimation . 2020 IEEE International Conference on Prognostics and Health Management , Detroit, MI, 2020 PDF
Q. Wang, W. Hassan, D. Li, K. Jee, X. Yu, K. Zou, J. Rhee, Z. Chen, W. Cheng, C. Gunter, H. Chen. You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. . The Network and Distributed System Security Symposium (NDSS'20), 2020. PDF
L. Wang, W. Yu, W. Cheng, M R. Ren, B. Zong, X. He, H. Zha, W. Wang, H. Chen. Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes. . Proceedings of the International Conference on World Wide Web (WWW'20), 2020. PDF
P. Wang, J. Gui, Z. Chen, J. Rhee, H. Chen, and Y. Fu. A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. . Proceedings of the International Conference on World Wide Web (WWW'20), 2020. PDF
J. Gui, D. Li, Z. Chen, J. Rhee, X. Xiao, M. Zhang, K. Jee, Z. Li, H. Chen. APTrace: A Responsive System for Agile Enterprise Level Causality Analysis. . Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE), Dallas, Texas, USA, 2020. PDF
L. Wang, B. Zong, Q. Ma, W. Cheng, J. Ni, W. Yu, Y. Liu, D. Song, H. Chen, Y. Fu. Inductive and Unsupervised Representation Learning on Graph Structured Objects. . The Eighth International Conference on Learning Representations (ICLR'20), 2020. PDF
B. Nie, J. Xu, J. Alter, H. Chen, E. Smirni. Mining Multivariate Discrete Event Sequences for Knowledge Discovery and Anomaly Detection. . The 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'20) 2020. PDF
D. Xu, Wei Cheng, B. Zong, D. Song, J. Ni, W. Yu, Y. Liu, H. Chen, X. Zhang. Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. . The 2020 AAAI International Conference on Artificial Intelligence (AAAI'20), 2020. PDF
X. Dong, J. Ni, Wei Cheng, Z. Chen, B. Zong, D. Song, Y. Liu, H. Chen, G. Melo. Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-based Recommendation. . The 2020 AAAI International Conference on Artificial Intelligence (AAAI'20), 2020. PDF
D. Zhu, D. Song, Y. Chen, C. Lumezanu, Wei Cheng, B. Zong, J. Ni, T. Mizoguchi, T. Yang, H. Chen. Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. . The 2020 AAAI International Conference on Artificial Intelligence (AAAI'20), 2020. PDF
X. Zhang, W. Cheng, B. Zong, Y. Chen, J. Xu, D. Li, H. Chen. Temporal Context-Aware Representation Learning for Question Routing. . The 13th ACM International WSDM Conference (WSDM'20), 2020. PDF
Z. Li, W. Cheng, Y. Chen, H. Chen and W. Wang. Interpretable Click-Through Rate Prediction through Hierarchical Attention. . The 13th ACM International WSDM Conference (WSDM'20) , 2020. PDF

2019

J. Gui, X. Xiao, D. Li, C H. Kim, H. Chen. Progressive Processing of System-Behavioral Query . The 35th Annual Computer Security Applications Conference (ACSAC 2019) 2019 PDF
L. Wang, W. Yu, W. Wang, W. Cheng, H. Zha, W. Zhang, X. He, and H. Chen. Learning Robust Representations with Graph Denoising Policy Network. . The 2019 edition of the IEEE International Conference on Data Mining series (ICDM'19), 2019. PDF
D. Xu, W. Cheng, D. Luo, Y. Gu, X. Liu, J. Ni, B. Zong, H. Chen, and X. Zhang. Adaptive Neural Network for Node Classification in Dynamic Networks. . The 2019 edition of the IEEE International Conference on Data Mining series (ICDM'19), 2019. PDF
W. Yu, W. Cheng, C. Aggarwal, B. Zong, H. Chen, and W. Wang. Self-Attentive Attributed Network Embedding Through Adversarial Learning. . The 2019 edition of the IEEE International Conference on Data Mining series (ICDM'19), 2019. PDF
Z. Chen, S. Wang, X. Yu, D. Li, J. Ni, L. Tang, J. Gui, Z. Li, H. Chen, P S. Yu. Heterogeneous Graph Matching Networks for Unknown Malware Detection. . The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August 2019. PDF
S. Wang, Z. Chen, D. Li, Z. Li, L. Tang, J. Ni, J. Rhee, H. Chen, and P S. Yu. Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification. . The 19th SIAM International Conference on Data Mining (SDM 2019), Alberta, Canada, May 2019. PDF
D. Xu, W. Cheng, B. Zong, J. Ni, D. Song, W. Yu, Y. Chen, H. Chen, X. Zhang. Deep Co-Clustering. . In Proceedings of the 19th SIAM International Conference on Data Mining (SDM'19). PDF
C. Zhang, D. Song, Y. Chen, X. Feng, C. Lumezanu, W. Cheng, J. Ni, B. Zong, H. Chen, N. Chawla. A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. . The 2019 AAAI International Conference on Artificial Intelligence (AAAI'19), 2019. PDF

2018

Q. Song, B. Zong, Y. Wu, L. Tang, H. Zhang, G. Jiang, H. Chen. TGNet: Learning to Rank Nodes in Temporal Graphs . Proceedings of the 2018 ACM on conference on information and knowledge management, CIKM 2018, Italy, November 2018. Link
H. Chen, M. Horak, S. Narayanappa, K. Woodward . Integrating AI into Planning, Diagnostic, and Prescription Systems for Human & Robotic Deep Space Exploration Missions. AAAI 2018 Fall Symposium Series, Arlington, VA, November 2018 . Link
W. Yu, C. Zheng, W. Cheng, C. Aggarwal, D. Song, B. Zong, H. Chen, W. Wang . Learning Deep Network Representations with Adversarially Regularized Autoencoders. Proceedings of the 24nd ACM SIGKDD international conference on knowledge discovery and data mining, London, UK, August 19-23, 2018 . Link
C. Luo, Z. Chen, L. Tang, A. Shrivastava, Z. Li, H. Chen, J. Ye . TINET: Learning Invariant Networks via Knowledge Transfer. Proceedings of the 24nd ACM SIGKDD international conference on knowledge discovery and data mining, London, UK, August 19-23, 2018 . Link
W. Yu, W. Cheng, C. Aggarwal, K. Zhang, H. Chen, W. Wang . NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. Proceedings of the 24nd ACM SIGKDD international conference on knowledge discovery and data mining, London, UK, August 19-23, 2018 . Link
D. Song, N. Xia, W. Cheng, H. Chen, D. Tao . Deep r-th Root Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval. Proceedings of the 24nd ACM SIGKDD international conference on knowledge discovery and data mining, London, UK, August 19-23, 2018 . Link
Y. Liu, T. Yan, H. Chen . Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics. Proceedings of the 27th international joint conference on artificial intelligence, IJCAI 2018, Sweden, August 2018 . Link
M. Li, C. Lumezanu, B. Zong, H. Chen . Learning IP Network Representations. Proceedings of the ACM Sigcomm Workshop of Big-DAMA, August, 2018 . Link Best Paper
B Zong, Q Song, M Min, W Cheng, C Lumezanu, D Cho, H Chen . Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection. Proceedings of the Sixth International Conference on Learning Representations, ICLR 2018, Vancouver CANADA, April 30 -May 03, 2018 . Link
J Ni, S Chang, X Liu, W Cheng, H Chen, D Xu, X Zhang . Co-Regularized Deep Multi-Network Embedding. Proceedings of 2018 World Wide Web Conference, WWW 2018, Lyon, France, april 23-27, 2018 . Link

2017

W Yu, W Cheng, C Aggarwal, H Chen, W Wang . Link prediction with spatial and temporal consistency in dynamic networks. Proceedings of the twenty-sixth international joint conference on artificial intelligence, IJCAI 2017, melbourne, australia, august 19-25, 2017 . Link
Y Qin, D Song, H Chen, W Cheng, G Jiang, G Cottrell . A dual-stage attention-based recurrent neural network for time series prediction. Proceedings of the twenty-sixth international joint conference on artificial intelligence, IJCAI 2017, melbourne, australia, august 19-25, 2017 . Link
J Ni, W Cheng, K Zhang, D Song, T Yan, H Chen, X Zhang . Ranking causal anomalies by modeling local propagations on networked systems. 2017 IEEE international conference on data mining, ICDM 2017, new orleans, la, usa, november 18-21, 2017 . Link
B Dong, Z Chen, W Wang, L Tang, K Zhang, Y Lin, Z Li, H Chen . Efficient discovery of abnormal event sequences in enterprise security systems. Proceedings of the 2017 ACM on conference on information and knowledge management, CIKM 2017, singapore, november 06 - 10, 2017 . Link
T Xu, T Yan, D Song, W Cheng, H Chen, G Jiang, J Bi . Identifying and quantifying nonlinear structured relationships in complex manufactural systems. 2017 IEEE international conference on big data, bigdata 2017, boston, ma, usa, december 11-14, 2017 . Link
W Cheng, J Ni, K Zhang, H Chen, G Jiang, Y Shi, X Zhang, W Wang . Ranking causal anomalies for system fault diagnosis via temporal and dynamical analysis on vanishing correlations. TKDD . Link

2016

T Guo, Z Xu, X Yao, H Chen, K Aberer, K Funaya . Robust online time series prediction with recurrent neural networks. 2016 IEEE international conference on data science and advanced analytics, DSAA 2016, montreal, qc, canada, october 17-19, 2016 . Link
W Cheng, K Zhang, H Chen, G Jiang, Z Chen, W Wang . Ranking causal anomalies via temporal and dynamical analysis on vanishing correlations. Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, san francisco, ca, usa, august 13-17, 2016 . Link Best Paper Runner-up
K Zhang, S Zhe, C Cheng, Z Wei, Z Chen, H Chen, G Jiang, Y Qi, J Ye . Annealed sparsity via adaptive and dynamic shrinking. Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, san francisco, ca, usa, august 13-17, 2016 . Link
T Chen, L Tang, Y Sun, Z Chen, H Chen, G Jiang . Integrating community and role detection in information networks. Proceedings of the 2016 SIAM international conference on data mining, miami, florida, usa, may 5-7, 2016 . Link
B Dong, Z Chen, H Wang, L Tang, K Zhang, Y Lin, H Chen, G Jiang . GID: graph-based intrusion detection on massive process traces for enterprise security systems. CoRR . Link
Y Lin, Z Chen, C Cao, L Tang, K Zhang, Z Li, H Chen, G Jiang . Collaborative alerts ranking for anomaly detection. CoRR . Link

2015

H Chen, M Takehiko, Y Tan, K Zhang, G Jiang . A quality control engine for complex physical systems. 45th annual IEEE/IFIP international conference on dependable systems and networks, DSN 2015, rio de janeiro, brazil, june 22-25, 2015 . Link
Z Han, H Chen, T Yan, G Jiang . Time series segmentation to discover behavior switching in complex physical systems. 2015 IEEE international conference on data mining, ICDM 2015, atlantic city, nj, usa, november 14-17, 2015 . Link
L Ulanova, T Yan, H Chen, G Jiang, E Keogh, K Zhang . Efficient long-term degradation profiling in time series for complex physical systems. Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining, sydney, nsw, australia, august 10-13, 2015 . Link
Z Xu, K Funaya, H Chen, S Leoni . Semi-supervised multivariate sequential pattern mining. New frontiers in mining complex patterns - 4th international workshop, NFMCP 2015, held in conjunction with ECML-PKDD 2015, porto, portugal, september 7, 2015, revised selected papers . Link

2014

A Sharma, F Ivancic, A Niculescu-Mizil, H Chen, G Jiang . Modeling and analytics for cyber-physical systems in the age of big data. SIGMETRICS Performance Evaluation Review . Link
H Zhang, G Jiang, K Yoshihira, H Chen . Proactive workload management in hybrid cloud computing. IEEE Trans. Network and Service Management . Link
O Patri, A Sharma, H Chen, G Jiang, A Panangadan, V Prasanna . Extracting discriminative shapelets from heterogeneous sensor data. 2014 IEEE international conference on big data, big data 2014, washington, dc, usa, october 27-30, 2014 . Link

2013

B Liu, H Chen, A Sharma, G Jiang, H Xiong . Modeling heterogeneous time series dynamics to profile big sensor data in complex physical systems. Proceedings of the 2013 IEEE international conference on big data, 6-9 october 2013, santa clara, ca, USA . Link
A Sharma, H Chen, M Ding, K Yoshihira, G Jiang . Fault detection and localization in distributed systems using invariant relationships. 2013 43rd annual IEEE/IFIP international conference on dependable systems and networks (dsn), budapest, hungary, june 24-27, 2013 . Link
M Ding, H Chen, A Sharma, K Yoshihira, G Jiang . A data analytic engine towards self-management of cyber-physical systems. 33rd international conference on distributed computing systems workshops (ICDCS 2013 workshops), philadelphia, pa, usa, 8-11 july, 2013 . Link
H Chen, H Kang, G Jiang, Y Zhang . Network-aware coordination of virtual machine migrations in enterprise data centers and clouds. 2013 IFIP/IEEE international symposium on integrated network management (IM 2013), ghent, belgium, may 27-31, 2013 . Link

2012

2011

G Jiang, H Chen, K Yoshihira, A Saxena . Ranking the importance of alerts for problem determination in large computer systems. Cluster Computing . Link
H Chen, W Zhang, G Jiang . Experience transfer for the configuration tuning in large-scale computing systems. IEEE Trans. Knowl. Data Eng. . Link
H Chen, H Kang, G Jiang, K Yoshihira . Application behavior mapping across heterogeneous hardware platforms. IEEE ninth international conference on dependable, autonomic and secure computing, DASC 2011, 12-14 december 2011, sydney, australia . Link
L Lu, H Zhang, G Jiang, H Chen, K Yoshihira, E Smirni . Untangling mixed information to calibrate resource utilization in virtual machines. Proceedings of the 8th international conference on autonomic computing, ICAC 2011, karlsruhe, germany, june 14-18, 2011 . Link

2010

X Kang, H Zhang, G Jiang, H Chen, X Meng, K Yoshihira . Understanding internet video sharing site workload: A view from data center design. J. Visual Communication and Image Representation . Link
H Kang, H Chen, G Jiang . PeerWatch: A fault detection and diagnosis tool for virtualized consolidation systems. Proceedings of the 7th international conference on autonomic computing, ICAC 2010, washington, dc, usa, june 7-11, 2010 . Link
H Chen, H Kang, G Jiang, K Yoshihira, A Saxena . VCAE: A virtualization and consolidation analysis engine for large scale data centers. Fourth IEEE international conference on self-adaptive and self-organizing systems, SASO 2010, budapest, hungary, 27 september - 1 october 2010 . Link
H Chen, G Jiang, H Zhang, K Yoshihira . A cooperative sampling approach to discovering optimal configurations in large scale computing systems. 29th IEEE symposium on reliable distributed systems (SRDS 2010), new delhi, punjab, india, october 31 - november 3, 2010 . Link
H Chen, G Jiang, K Yoshihira, A Saxena . Invariants based failure diagnosis in distributed computing systems. 29th IEEE symposium on reliable distributed systems (SRDS 2010), new delhi, punjab, india, october 31 - november 3, 2010 . Link
H Zhang, H Chen, G Jiang, X Meng, K Yoshihira . Fast indexing for large-scale networked system modeling. JNW . Link

2009

H Chen, W Zhang, G Jiang . Experience transfer for the configuration tuning in large scale computing systems. SIGMETRICS Performance Evaluation Review . Link
G Jiang, H Chen, K Yoshihira, A Saxena . Ranking the importance of alerts for problem determination in large computer systems. Proceedings of the 6th international conference on autonomic computing, ICAC 2009, june 15-19, 2009, barcelona, spain . Link
H Zhang, G Jiang, K Yoshihira, H Chen, A Saxena . Resilient workload manager: Taming bursty workload of scaling internet applications. Proceedings of the 6th international conference on autonomic computing, ICAC 2009, june 15-19, 2009, barcelona, spain . Link
J Gao, G Jiang, H Chen, J Han . Modeling probabilistic measurement correlations for problem determination in large-scale distributed systems. 29th IEEE international conference on distributed computing systems (ICDCS 2009), 22-26 june 2009, montreal, québec, canada . Link
H Chen, G Jiang, H Zhang, K Yoshihira . Boosting the performance of computing systems through adaptive configuration tuning. Proceedings of the 2009 ACM symposium on applied computing (sac), honolulu, hawaii, usa, march 9-12, 2009 . Link
H Chen, G Jiang . A gradient oriented recombination scheme for evolution strategies. Proceedings of the 2009 ACM symposium on applied computing (sac), honolulu, hawaii, usa, march 9-12, 2009 . Link
H Zhang, G Jiang, K Yoshihira, H Chen, A Saxena . Intelligent workload factoring for a hybrid cloud computing model. 2009 IEEE congress on services, part i, SERVICES I 2009, los angeles, ca, usa, july 6-10, 2009 . Link

2008

G Jiang, H Chen, K Yoshihira . Profiling services for resource optimization and capacity planning in distributed systems. Cluster Computing . Link
H Chen, G Jiang, K Yoshihira . Monitoring high-dimensional data for failure detection and localization in large-scale computing systems. IEEE Trans. Knowl. Data Eng. . Link
H Zhang, A Sharma, H Chen, G Jiang, X Meng, K Yoshihira . Enabling information confidentiality in publish/subscribe overlay services. Proceedings of IEEE international conference on communications, ICC 2008, beijing, china, 19-23 may 2008 . Link
A Saboori, G Jiang, H Chen . Autotuning configurations in distributed systems for performance improvements using evolutionary strategies. 28th IEEE international conference on distributed computing systems (ICDCS 2008), 17-20 june 2008, beijing, china . Link
H Chen, H Cheng, G Jiang, K Yoshihira . Exploiting local and global invariants for the management of large scale information systems. Proceedings of the 8th IEEE international conference on data mining (ICDM 2008), december 15-19, 2008, pisa, italy . Link
X Kang, H Zhang, G Jiang, H Chen, X Meng, K Yoshihira . Measurement, modeling, and analysis of internet video sharing site workload: A case study. 2008 IEEE international conference on web services (ICWS 2008), september 23-26, 2008, beijing, china . Link
X Meng, G Jiang, H Zhang, H Chen, K Yoshihira . Automatic profiling of network event sequences: Algorithm and applications. INFOCOM 2008. 27th IEEE international conference on computer communications, joint conference of the IEEE computer and communications societies, 13-18 april 2008, phoenix, az, USA . Link
N Jiang, G Jiang, H Chen, K Yoshihira . Correlating real-time monitoring data for mobile network management. 9th IEEE international symposium on a world of wireless, mobile and multimedia networks, WOWMOM 2008, newport beach, ca, usa, 23-26 june, 2008 . Link
X Kang, H Zhang, G Jiang, H Chen, X Meng, K Yoshihira . Understanding internet video sharing site workload: A view from data ce

2007

H Chen, G Jiang, K Yoshihira . Failure detection in large-scale internet services by principal subspace mapping. IEEE Trans. Knowl. Data Eng. . Link
G Jiang, H Chen, K Yoshihira . Efficient and scalable algorithms for inferring likely invariants in distributed systems. IEEE Trans. Knowl. Data Eng. . Link
G Jiang, H Chen, C Ungureanu, K Yoshihira . Multiresolution abnormal trace detection using varied-length n-grams and automata. IEEE Trans. Systems, Man, and Cybernetics, Part C . Link
H Chen, G Jiang, C Ungureanu, K Yoshihira . Online tracking of component interactions for failure detection and localization in distributed systems. IEEE Trans. Systems, Man, and Cybernetics, Part C . Link
H Cheng, H Chen, G Jiang, K Yoshihira . Nonlinear feature selection by relevance feature vector machine. Machine learning and data mining in pattern recognition, 5th international conference, MLDM 2007, leipzig, germany, july 18-20, 2007, proceedings . Link

2006

G Jiang, H Chen, K Yoshihira . Discovering likely invariants of distributed transaction systems for autonomic system management. Cluster Computing . Link
G Jiang, H Chen, K Yoshihira . Modeling and tracking of transaction flow dynamics for fault detection in complex systems. IEEE Trans. Dependable Sec. Comput. . Link
Z Guo, G Jiang, H Chen, K Yoshihira . Tracking probabilistic correlation of monitoring data for fault detection in complex systems. 2006 international conference on dependable systems and networks (DSN 2006), 25-28 june 2006, philadelphia, pennsylvania, usa, proceedings . Link
G Jiang, H Chen, K Yoshihira . Discovering likely invariants of distributed transaction systems for autonomic system management. Proceedings of the 3rd international conference on autonomic computing, ICAC 2006, dublin, ireland, 13-16 june 2006 . Link
H Chen, G Jiang, K Yoshihira . Robust nonlinear dimensionality reduction for manifold learning. 18th international conference on pattern recognition (ICPR 2006), 20-24 august 2006, hong kong, china . Link
H Chen, G Jiang, K Yoshihira . Fault detection in distributed systems by representative subspace mapping. 18th international conference on pattern recognition (ICPR 2006), 20-24 august 2006, hong kong, china . Link
H Chen, G Jiang, C Ungureanu, K Yoshihira . Combining supervised and unsupervised monitoring for fault detection in distributed computing systems. Proceedings of the 2006 ACM symposium on applied computing (sac), dijon, france, april 23-27, 2006 . Link

2005 and before

H Chen, P Meer . Robust fusion of uncertain information. IEEE Trans. Systems, Man, and Cybernetics, Part B . Link
G Jiang, H Chen, C Ungureanu, K Yoshihira . Multi-resolution abnormal trace detection using varied-length n-grams and automata. Second international conference on autonomic computing (ICAC 2005), 13-16 june 2005, seattle, wa, USA . Link
H Chen, G Jiang, C Ungureanu, K Yoshihira . Failure detection and localization in component based systems by online tracking. Proceedings of the eleventh ACM SIGKDD international conference on knowledge discovery and data mining, chicago, illinois, usa, august 21-24, 2005 . Link
H Chen, I Shimshoni, P Meer . Model based object recognition by robust information fusion. 17th international conference on pattern recognition, ICPR 2004, cambridge, uk, august 23-26, 2004. . Link
H Chen, P Meer . Robust fusion of uncertain information. IEEE conference on computer vision and pattern recognition, CVPR workshops 2003, madison, wisconsin, usa, 16-22 june, 2003 . Link
H Chen, P Meer . Robust regression with projection based m-estimators. 9th IEEE international conference on computer vision (ICCV 2003), 14-17 october 2003, nice, france . Link
H Chen, P Meer . Robust computer vision through kernel density estimation. Computer vision - ECCV 2002, 7th european conference on computer vision, copenhagen, denmark, may 28-31, 2002, proceedings, part I . Link
H Chen, P Meer, D Tyler . Robust regression for data with multiple structures. 2001 IEEE computer society conference on computer vision and pattern recognition (CVPR 2001), with cd-rom, 8-14 december 2001, kauai, hi, USA . Link