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Haifeng Chen

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

167

Venues

46

Active years

2001–2026

Best venue rank

A*

Where they publish

Papers

167 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIBrownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage.Haoyue Bai, Guodong Chen, Wangyang Ying, Xinyuan Wang, Nanxu Gong, Sixun Dong, Giulia Pedrielli, Haoyu Wang, Haifeng Chen, Yanjie Fu
2026AAAIMARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery.Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen, Yi He, Haifeng Chen, Chen Zhao
2026ACLRepresentation Interventions Enable Lifelong Knowledge Memory Control in LLMs.Xuyuan Liu, Shengyu Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao, Haoyu Wang, Yujun Yan, Haifeng Chen, Zhengzhang Chen
2026ACLStop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning.Renliang Sun, Wei Cheng, Dawei Li, Haifeng Chen, Wei Wang
2026ACLUncertainty-Aware Test-Time Search for Optimization Problem Solving.Linlin Yu, Xujiang Zhao, Dong Li, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Chen Zhao, Feng Chen, Haifeng Chen
2026ACLLOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory.Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, Jundong Li, Haifeng Chen
2026ACLMind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models.Binchi Zhang, Xujiang Zhao, Jundong Li, Haifeng Chen, Zhengzhang Chen
2026EACLDeepSieve: Information Sieving via LLM-as-a-Knowledge-Router.Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng
2026EACLDecoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation.Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen
2026EACLMulti-Agent Procedural Graph Extraction with Structural and Logical Refinement.Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2026ISITA Session Interaction Framework for The Multiple-Unicast Conjecture.Sirui Liu, Zongpeng Li, Xiying Fan, Haifeng Chen
2026WWWLearning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation.Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Yanjie Fu, Haifeng Chen
2025AAAIEvolutionary Large Language Model for Automated Feature Transformation.Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Haifeng Chen, Yanjie Fu
2025AAAITimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents.Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen
2025AAAIIncident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model.Peng Yuan, Lu An Tang, Yanchi Liu, Yuji Kobayashi, Moto Sato, Haifeng Chen
2025ACLExploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery.ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni
2025ACLUncertainty Propagation on LLM Agent.Qiwei Zhao, Dong Li, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Chen Zhao, Haifeng Chen, Xujiang Zhao
2025CIKMCorrelation-aware Online Change Point Detection.Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Jie Gao, Haifeng Chen
2025CVPRWhere's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content.Haoyue Bai, Yiyou Sun, Wei Cheng, Haifeng Chen
2025CVPRAlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment.Yan Li, Yifei Xing, Xiangyuan Lan, Xin Li, Haifeng Chen, Dongmei Jiang
2025ICASSPTSLA: A Multi-Task Time Series Language Model.Liri Fang, Yuncong Chen, Wenchao Yu, Yanchi Liu, Lu-An Tang, Vetle I. Torvik, Haifeng Chen
2025ICDMIncorporating Interactive User Feedback Through Precision Matrix Adjustments for High-Dimensional Anomaly Detection.Taylor Dinkins, Weng-Keen Wong, Haifeng Chen, Yanchi Liu, Kai Ishikawa
2025ICDMxTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion.Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen
2025ICLRSFS: Smarter Code Space Search improves LLM Inference Scaling.Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng
2025ICLRChain-of-region: Visual Language Models Need Details for Diagram Analysis.Xue Li, Yiyou Sun, Wei Cheng, Yinglun Zhu, Haifeng Chen
2025ICLRHumanizing the Machine: Proxy Attacks to Mislead LLM Detectors.Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng
2025IJCAIUnsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming.Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haoyue Bai, Sixun Dong, Haifeng Chen, Yanjie Fu
2025IJCAIHarnessing Vision Models for Time Series Analysis: A Survey.Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen
2025KDDThe 4th Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI).Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen
2025KDDMulti-modal Time Series Analysis: A Tutorial and Survey.Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song
2025KDD4th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM).Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Hua Wei, Haifeng Chen
2025NAACLMixLLM: Dynamic Routing in Mixed Large Language Models.Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2025NAACLPosition Really Matters: Towards a Holistic Approach for Prompt Tuning.Xianjun Yang, Wei Cheng, Xujiang Zhao, Wenchao Yu, Linda Ruth Petzold, Haifeng Chen
2025WSCSupply Chain Optimization via Generative Simulation and Iterative Decision Policies.Haoyue Bai, Haoyu Wang, Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haifeng Chen, Yanjie Fu
2025SDMEvidence-Based Out-of-Distribution Detection on Multi-Label Graphs.Ruomeng Ding, Xujiang Zhao, Chen Zhao, Minglai Shao, Zhengzhang Chen, Haifeng Chen
2024ACLDistantly-Supervised Joint Extraction with Noise-Robust Learning.Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, Cong Liu
2024EMNLPInfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024EMNLPLarge Language Models Can Be Contextual Privacy Protection Learners.Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng
2024EMNLPA Survey on Detection of LLMs-Generated Content.Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
2024ICLRDNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text.Xianjun Yang, Wei Cheng, Yue Wu, Linda Ruth Petzold, William Yang Wang, Haifeng Chen
2024ICLRTowards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
2024ICLRParametric Augmentation for Time Series Contrastive Learning.Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
2024ICMLDFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton.Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen
2024IJCAIReconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows.Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu
2024IJCAITowards Counterfactual Fairness-aware Domain Generalization in Changing Environments.Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen
2024ISMARThe WizARd and Apprentice: An Augmented Reality Expert Capture System.Ada Yi Zhao, Suibi Che-Chuan Weng, Ella Grace Finstuen, Haifeng Chen, Lu-An Tang, Kai Ishikawa, Ellen Yi-Luen Do
2024KDDPOND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning.Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
2024KDDPAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
2024KDD3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI).Chen Zhao, Feng Chen, Xintao Wu, Jundong Li, Haifeng Chen
2024KDD3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM).Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Wei Hua, Haifeng Chen
2024NAACLUncertainty Quantification for In-Context Learning of Large Language Models.Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
2024NAACLPruning as a Domain-specific LLM Extractor.Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen
2024WWWMULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems.Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
2024VLDBInfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024WSDMInterpretable Imitation Learning with Dynamic Causal Relations.Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023AAAITime Series Contrastive Learning with Information-Aware Augmentations.Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023ACLUncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data.Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu
2023CIKMAdaptation Speed Analysis for Fairness-aware Causal Models.Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen
2023CIKMCalibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning.Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li
2023CISSInterpretable Skill Learning for Dynamic Treatment Regimes through Imitation.Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen
2023EMNLPOpen-ended Commonsense Reasoning with Unrestricted Answer Candidates.Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023FUSIONUnsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning.Masanao Natsumeda, Takehiko Mizoguchi, Wei Cheng, Yuncong Chen, Haifeng Chen
2023ICASSPMulti-Label Temporal Evidential Neural Networks for Early Event Detection.Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jsang, Haifeng Chen, Feng Chen
2023ICMLPersonalized Federated Learning under Mixture of Distributions.Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
2023KDDFedSkill: Privacy Preserved Interpretable Skill Learning via Imitation.Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen
2023KDDIncremental Causal Graph Learning for Online Root Cause Analysis.Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen
2023KDDInterdependent Causal Networks for Root Cause Localization.Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen
2023KDD2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI).Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen, Jiayu Zhou
2023KDDSkill Disentanglement for Imitation Learning from Suboptimal Demonstrations.Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023KDD2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making.Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen
2022AAAIZero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph.Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
2022ICASSPSeed: Sound Event Early Detection Via Evidential Uncertainty.Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
2022ICDMDeepGAR: Deep Graph Learning for Analogical Reasoning.Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
2022ICDMPersonalized Federated Learning via Heterogeneous Modular Networks.Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
2022ICLRSuperclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings.Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen
2022KDDTowards Learning Disentangled Representations for Time Series.Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
2022KDDCAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences.Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong
2021AAAIDynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021AAAIMulti-Task Recurrent Modular Networks.Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang
2021AAAITransformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling.Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang
2021CIKMStructural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs.Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen
2021CIKMYou Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation.Zeyu Li, Wei Cheng, Haiqi Xiao, Wenchao Yu, Haifeng Chen, Wei Wang
2021CIKMInterpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization.Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen
2021CVPRFaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems.Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
2021EMNLPRecommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction.Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang
2021EMNLPBoosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation.Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi
2021ICDEAutoOD: Neural Architecture Search for Outlier Detection.Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2021ICDMAspect-based Sentiment Classification via Reinforcement Learning.Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu
2021ICMITemporal Attentive Adversarial Domain Adaption for Cross Cultural Affect Recognition.Haifeng Chen, Yifan Deng, Dongmei Jiang
2021KDDMulti-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection.Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
2021KDDDomain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment.Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
2021NAACLUnsupervised Concept Representation Learning for Length-Varying Text Similarity.Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen
2021WSDMLearning to Drop: Robust Graph Neural Network via Topological Denoising.Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
2021SDMDeep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection.Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang
2020AAAIAsymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation.Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
2020AAAITensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series.Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang
2020AAAIDeep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval.Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen
2020CLOUDVessels: efficient and scalable deep learning prediction on trusted processors.Kyungtae Kim, Chung Hwan Kim, Junghwan John Rhee, Xiao Yu, Haifeng Chen, Dave (Jing) Tian, Byoungyoung Lee
2020DSNMining Multivariate Discrete Event Sequences for Knowledge Discovery and Anomaly Detection.Bin Nie, Jianwu Xu, Jacob Alter, Haifeng Chen, Evgenia Smirni
2020ICDEQuerying Streaming System Monitoring Data for Enterprise System Anomaly Detection.Peng Gao, Xusheng Xiao, Ding Li, Kangkook Jee, Haifeng Chen, Sanjeev R. Kulkarni, Prateek Mittal
2020ICDEAPTrace: A Responsive System for Agile Enterprise Level Causality Analysis.Jiaping Gui, Ding Li, Zhengzhang Chen, Junghwan Rhee, Xusheng Xiao, Mu Zhang, Kangkook Jee, Zhichun Li, Haifeng Chen
2020ICDMTDenghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
2020ICLRInductive and Unsupervised Representation Learning on Graph Structured Objects.Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu
2020ICMLRobust Graph Representation Learning via Neural Sparsification.Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
2020NDSSYou Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis.Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen
2020WWWA Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement.Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu
2020WWWAdversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱.Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha
2020WSDMInterpretable Click-Through Rate Prediction through Hierarchical Attention.Zeyu Li, Wei Cheng, Yang Chen, Haifeng Chen, Wei Wang
2020WSDMTemporal Context-Aware Representation Learning for Question Routing.Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen
2020SecureCommAnomaly Detection on Web-User Behaviors Through Deep Learning.Jiaping Gui, Zhengzhang Chen, Xiao Yu, Cristian Lumezanu, Haifeng Chen
2019AAAIA Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
2019ACIIAudio Visual Multimodal Classification of Bipolar Disorder Episodes.Yan Li, Le Yang, Haifeng Chen, Dongmei Jiang, Hichem Sahli
2019ACSACProgressive processing of system-behavioral query.Jiaping Gui, Xusheng Xiao, Ding Li, Chung Hwan Kim, Haifeng Chen
2019ICDMLearning Robust Representations with Graph Denoising Policy Network.Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
2019ICDMAdaptive Neural Network for Node Classification in Dynamic Networks.Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang
2019ICDMSelf-Attentive Attributed Network Embedding Through Adversarial Learning.Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang
2019IJCAIHeterogeneous Graph Matching Networks for Unknown Malware Detection.Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
2019SDMAttentional Heterogeneous Graph Neural Network: Application to Program Reidentification.Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu
2019SDMDeep Co-Clustering.Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2018CIKMTGNet: Learning to Rank Nodes in Temporal Graphs.Qi Song, Bo Zong, Yinghui Wu, Lu-An Tang, Hui Zhang, Guofei Jiang, Haifeng Chen
2018ICLRDeep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection.Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Dae-ki Cho, Haifeng Chen
2018IJCAIExploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics.Yanchi Liu, Tan Yan, Haifeng Chen
2018KDDTINET: Learning Invariant Networks via Knowledge Transfer.Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li, Haifeng Chen, Jieping Ye
2018KDDDeep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval.Dongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao
2018KDDNetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks.Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang
2018KDDLearning Deep Network Representations with Adversarially Regularized Autoencoders.Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang
2018WWWCo-Regularized Deep Multi-Network Embedding.Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang
2018SIGCOMMDeep Learning IP Network Representations.Mingda Li, Cristian Lumezanu, Bo Zong, Haifeng Chen
2017CIKMEfficient Discovery of Abnormal Event Sequences in Enterprise Security Systems.Boxiang Dong, Zhengzhang Chen, Wendy Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Zhichun Li, Haifeng Chen
2017CVPRGaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks.Shiqi Yu, Haifeng Chen, Edel B. Garca Reyes, Norman Poh
2017ICDMRanking Causal Anomalies by Modeling Local Propagations on Networked Systems.Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang
2017ICIPBlind image restoration utilizing total variation regularization, shock filter and gradient reliability map.Tomio Goto, Hiroki Senshiki, Satoshi Motohashi, Haifeng Chen, Reo Aoki
2017IJCAIA Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction.Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell
2017IJCAILink Prediction with Spatial and Temporal Consistency in Dynamic Networks.Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang
2016DSAARobust Online Time Series Prediction with Recurrent Neural Networks.Tian Guo, Zhao Xu, Xin Yao, Haifeng Chen, Karl Aberer, Koichi Funaya
2016KDDRanking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations.Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang
2016KDDAnnealed Sparsity via Adaptive and Dynamic Shrinking.Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye
2016SDMIntegrating Community and Role Detection in Information Networks.Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Guofei Jiang
2015DSNA Quality Control Engine for Complex Physical Systems.Haifeng Chen, Takehiko Mizoguchi, Yan Tan, Kai Zhang, Geoff Jiang
2015ICDMTime Series Segmentation to Discover Behavior Switching in Complex Physical Systems.Zheng Han, Haifeng Chen, Tan Yan, Geoff Jiang
2015KDDEfficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems.Liudmila Ulanova, Tan Yan, Haifeng Chen, Guofei Jiang, Eamonn J. Keogh, Kai Zhang
2013DSNFault detection and localization in distributed systems using invariant relationships.Abhishek B. Sharma, Haifeng Chen, Min Ding, Kenji Yoshihira, Guofei Jiang
2013IMNetwork-aware coordination of virtual machine migrations in enterprise data centers and clouds.Haifeng Chen, Hui Kang, Guofei Jiang, Yueping Zhang
2011CBMSA wireless EEG monitor system based on BSN node.Yeongjoon Gil, Gang Li, Haifeng Chen, Jungtae Lee
2011DASCApplication Behavior Mapping across Heterogeneous Hardware Platforms.Haifeng Chen, Hui Kang, Guofei Jiang, Kenji Yoshihira
2010SRDSInvariants Based Failure Diagnosis in Distributed Computing Systems.Haifeng Chen, Guofei Jiang, Kenji Yoshihira, Akhilesh Saxena
2010SRDSA Cooperative Sampling Approach to Discovering Optimal Configurations in Large Scale Computing Systems.Haifeng Chen, Guofei Jiang, Hui Zhang, Kenji Yoshihira
2009ICDCSModeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems.Jing Gao, Guofei Jiang, Haifeng Chen, Jiawei Han
2009SACA gradient oriented recombination scheme for evolution strategies.Haifeng Chen, Guofei Jiang
2009SACBoosting the performance of computing systems through adaptive configuration tuning.Haifeng Chen, Guofei Jiang, Hui Zhang, Kenji Yoshihira
2009SERVICESIntelligent Workload Factoring for a Hybrid Cloud Computing Model.Hui Zhang, Guofei Jiang, Kenji Yoshihira, Haifeng Chen, Akhilesh Saxena
2008ICDCSAutotuning Configurations in Distributed Systems for Performance Improvements Using Evolutionary Strategies.Anooshiravan Saboori, Guofei Jiang, Haifeng Chen
2008ICDMExploiting Local and Global Invariants for the Management of Large Scale Information Systems.Haifeng Chen, Haibin Cheng, Guofei Jiang, Kenji Yoshihira
2008INFOCOMAutomatic Profiling of Network Event Sequences: Algorithm and Applications.Xiaoqiao Meng, Guofei Jiang, Hui Zhang, Haifeng Chen, Kenji Yoshihira
2008ICWSMeasurement, Modeling, and Analysis of Internet Video Sharing Site Workload: A Case Study.Xiaozhu Kang, Hui Zhang, Guofei Jiang, Haifeng Chen, Xiaoqiao Meng, Kenji Yoshihira
2008WWWUnderstanding internet video sharing site workload: a view from data center design.Xiaozhu Kang, Hui Zhang, Guofei Jiang, Haifeng Chen, Xiaoqiao Meng, Kenji Yoshihira
2008WoWMoMCorrelating real-time monitoring data for mobile network management.Nanyan Jiang, Guofei Jiang, Haifeng Chen, Kenji Yoshihira
2006DSNTracking Probabilistic Correlation of Monitoring Data for Fault Detection in Complex Systems.Zhen Guo, Guofei Jiang, Haifeng Chen, Kenji Yoshihira
2006ICPRRobust Nonlinear Dimensionality Reduction for Manifold Learning.Haifeng Chen, Guofei Jiang, Kenji Yoshihira
2006ICPRFault Detection in Distributed Systems by Representative Subspace Mapping.Haifeng Chen, Guofei Jiang, Kenji Yoshihira
2006SACCombining supervised and unsupervised monitoring for fault detection in distributed computing systems.Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Kenji Yoshihira
2005KDDFailure detection and localization in component based systems by online tracking.Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Kenji Yoshihira
2004ICPRModel Based Object Recognition by Robust Information Fusion.Haifeng Chen, Ilan Shimshoni, Peter Meer
2003CVPRRobust Fusion of Uncertain Information.Haifeng Chen, Peter Meer
2003ICCVRobust Regression with Projection Based M-estimators.Haifeng Chen, Peter Meer
2002ECCVRobust Computer Vision through Kernel Density Estimation.Haifeng Chen, Peter Meer
2001CVPRRobust Regression for Data with Multiple Structures.Haifeng Chen, Peter Meer, David E. Tyler