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2020 – today
- 2025
[j61]Haifeng Chen, Ping Yu, Jiangqi Long:
Multi-objective optimization of automotive seat frames using machine learning. Adv. Eng. Softw. 199: 103797 (2025)- [j60]Haifeng Chen, Xu Zhao, Xiangtai Liu, Qin Lu, Shaoqing Wang, Zhan Wang, Yifan Jia, Yunhe Guan, Lijun Li, Yue Hao:
β-Ga2O3 solar-blind ultraviolet light detector with infinite PDCR. Sci. China Inf. Sci. 68(4) (2025) - [j59]Ruiqi Ma, Qian Cheng, Jing Yao, Zhiyu Peng, Mingxu Yan, Jie Lu, Jingjing Liao, Lejin Tian, Wenjun Shu, Yunqiu Zhang, Jinghan Wang, Pengfei Jiang, Weiyi Xia, Xiaofeng Li, Lu Gan, Yue Zhao, Jiang Zhu, Bing Qin, Qin Jiang, Xiawei Wang, Xintong Lin, Haifeng Chen, Weifang Zhu, Dehui Xiang, Baoqing Nie, Jingtao Wang, Jie Guo, Kang Xue, Hongguang Cui, Jinwei Cheng, Xiangjia Zhu, Jiaxu Hong
, Fei Shi, Rui Zhang, Xinjian Chen, Chen Zhao:
Multimodal machine learning enables AI chatbot to diagnose ophthalmic diseases and provide high-quality medical responses. npj Digit. Medicine 8(1) (2025) - [j58]Leilei Xiao, Yubing Li, Haifeng Chen, Yujia Chen, Zemeng Huang, Peng Ke, Xiuping Li:
A Novel Design Method for CML Frequency Divider Based on C/Id and G/Id and Application for Quadrature-Injection CML Frequency Dividers. IEEE Trans. Circuits Syst. I Regul. Pap. 72(3): 1140-1151 (2025) - [c191]Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Haifeng Chen, Yanjie Fu:
Evolutionary Large Language Model for Automated Feature Transformation. AAAI 2025: 16844-16852 - [c190]Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen:
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents. AAAI 2025: 18082-18090 - [c189]Peng Yuan, Lu An Tang, Yanchi Liu, Yuji Kobayashi, Moto Sato, Haifeng Chen:
Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model. AAAI 2025: 29721-29723 - [c188]Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng:
SFS: Smarter Code Space Search improves LLM Inference Scaling. ICLR 2025 - [c187]Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng:
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. ICLR 2025 - [i88]Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, Jundong Li, Haifeng Chen:
Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating. CoRR abs/2502.00158 (2025) - [i87]Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen:
Harnessing Vision Models for Time Series Analysis: A Survey. CoRR abs/2502.08869 (2025) - [i86]Tianchun Wang, Zichuan Liu, Yuanzhou Chen, Jonathan Light, Haifeng Chen, Xiang Zhang, Wei Cheng:
Diversified Sampling Improves Scaling LLM inference. CoRR abs/2502.11027 (2025) - [i85]Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen:
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents. CoRR abs/2502.11418 (2025) - [i84]Jonathan Light, Wei Cheng, Yue Wu, Masafumi Oyamada, Mengdi Wang, Santiago Paternain, Haifeng Chen:
DISC: Dynamic Decomposition Improves LLM Inference Scaling. CoRR abs/2502.16706 (2025) - [i83]Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen:
MixLLM: Dynamic Routing in Mixed Large Language Models. CoRR abs/2502.18482 (2025) - [i82]Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, Haifeng Chen:
Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop. CoRR abs/2503.01013 (2025) - [i81]Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song:
Multi-modal Time Series Analysis: A Tutorial and Survey. CoRR abs/2503.13709 (2025) - [i80]Fraol Batole, Abhiram Bellur, Malinda Dilhara, Mohammed Raihan Ullah, Yaroslav Zharov, Timofey Bryksin, Kai Ishikawa, Haifeng Chen, Masaharu Morimoto, Shota Motoura, Takeo Hosomi, Tien N. Nguyen, Hridesh Rajan, Nikolaos Tsantalis, Danny Dig:
Leveraging LLMs, IDEs, and Semantic Embeddings for Automated Move Method Refactoring. CoRR abs/2503.20934 (2025) - 2024
- [j57]Jiyao Liu, Lang He, Haifeng Chen, Dongmei Jiang:
Directional Spatial and Spectral Attention Network (DSSA Net) for EEG-based emotion recognition. Frontiers Neurorobotics 18 (2024) - [j56]Haifeng Chen:
Design and implementation of a vulnerability mining system for power internet of things terminal based on fuzzy mathematical model simulation platform. Intell. Decis. Technol. 18(4): 2873-2883 (2024) - [j55]Yunhe Guan, Jiachen Lu, Hao Zhang, Zhen Dou, Haifeng Chen, Feng Liang:
A comparative study of work function variations in III-V heterojunction and homojunction tunnel field-effect transistors. Microelectron. J. 145: 106118 (2024) - [j54]Haoyu Zhang, Linlin Cai, Haifeng Chen, Binyu Yin, Wangyong Chen:
Exploring thermal effects of advanced backside power delivery network beyond 3 nm node. Microelectron. J. 153: 106440 (2024) - [j53]Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, Xiang Zhang:
Towards Inductive and Efficient Explanations for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5245-5259 (2024) - [j52]Haifeng Chen, Peng Zhang, Chujia Guo, Ke Lu, Dongmei Jiang:
Facial Action Unit Representation Based on Self-Supervised Learning With Ensembled Priori Constraints. IEEE Trans. Image Process. 33: 5045-5059 (2024) - [j51]Wangyang Ying, Dongjie Wang, Haifeng Chen, Yanjie Fu:
Feature Selection as Deep Sequential Generative Learning. ACM Trans. Knowl. Discov. Data 18(9): 221:1-221:21 (2024) - [c186]Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, Cong Liu:
Distantly-Supervised Joint Extraction with Noise-Robust Learning. ACL (Findings) 2024: 10202-10217 - [c185]Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen:
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. EMNLP (Findings) 2024: 3675-3688 - [c184]Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng:
A Survey on Detection of LLMs-Generated Content. EMNLP (Findings) 2024: 9786-9805 - [c183]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:
Large Language Models Can Be Contextual Privacy Protection Learners. EMNLP 2024: 14179-14201 - [c182]Xianjun Yang, Wei Cheng, Yue Wu, Linda Ruth Petzold, William Yang Wang, Haifeng Chen:
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. ICLR 2024 - [c181]Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo:
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. ICLR 2024 - [c180]Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo:
Parametric Augmentation for Time Series Contrastive Learning. ICLR 2024 - [c179]Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen:
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton. ICML 2024 - [c178]Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu:
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows. IJCAI 2024: 2063-2071 - [c177]Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen:
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments. IJCAI 2024: 4560-4568 - [c176]Ada Yi Zhao, Suibi Che-Chuan Weng, Ella Grace Finstuen, Haifeng Chen, Lu-An Tang, Kai Ishikawa, Ellen Yi-Luen Do:
The WizARd and Apprentice: An Augmented Reality Expert Capture System. ISMAR-Adjunct 2024: 405-406 - [c175]Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen:
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. KDD 2024: 3140-3151 - [c174]Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong:
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. KDD 2024: 6148-6157 - [c173]Chen Zhao, Feng Chen, Xintao Wu, Jundong Li, Haifeng Chen:
3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD 2024: 6751-6752 - [c172]Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Wei Hua, Haifeng Chen:
3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM). KDD 2024: 6755-6756 - [c171]Zhixian Zhao, Haifeng Chen, Xi Li, Dongmei Jiang, Lei Xie:
Improving Multimodal Emotion Recognition by Leveraging Acoustic Adaptation and Visual Alignment. MRAC@MM 2024: 67-71 - [c170]Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen:
Pruning as a Domain-specific LLM Extractor. NAACL-HLT (Findings) 2024: 1417-1428 - [c169]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:
Uncertainty Quantification for In-Context Learning of Large Language Models. NAACL-HLT 2024: 3357-3370 - [c168]Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu:
DALD: Improving Logits-based Detector without Logits from Black-box LLMs. NeurIPS 2024 - [c167]Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen:
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. VLDB Workshops 2024 - [c166]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Interpretable Imitation Learning with Dynamic Causal Relations. WSDM 2024: 967-975 - [c165]Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen:
MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. WWW 2024: 4107-4116 - [i79]Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen:
Multi-modal Causal Structure Learning and Root Cause Analysis. CoRR abs/2402.02357 (2024) - [i78]Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen:
Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton. CoRR abs/2402.04411 (2024) - [i77]Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen:
Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. CoRR abs/2402.10189 (2024) - [i76]Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo:
Parametric Augmentation for Time Series Contrastive Learning. CoRR abs/2402.10434 (2024) - [i75]Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen:
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. CoRR abs/2402.11441 (2024) - [i74]Wangyang Ying, Dongjie Wang, Haifeng Chen, Yanjie Fu:
Feature Selection as Deep Sequential Generative Learning. CoRR abs/2403.03838 (2024) - [i73]Xinyuan Wang, Dongjie Wang, Wangyang Ying, Rui Xie, Haifeng Chen, Yanjie Fu:
Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent. CoRR abs/2403.04015 (2024) - [i72]Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen:
Pruning as a Domain-specific LLM Extractor. CoRR abs/2405.06275 (2024) - [i71]Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu:
Improving Logits-based Detector without Logits from Black-box LLMs. CoRR abs/2406.05232 (2024) - [i70]Lecheng Zheng, Zhengzhang Chen, Dongjie Wang, Chengyuan Deng, Reon Matsuoka, Haifeng Chen:
LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis. CoRR abs/2406.05375 (2024) - [i69]Lang He, Kai Chen, Junnan Zhao, Yimeng Wang, Ercheng Pei, Haifeng Chen, Jiewei Jiang, Shiqing Zhang, Jie Zhang, Zhongmin Wang, Tao He, Prayag Tiwari:
LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild. CoRR abs/2407.00024 (2024) - [i68]Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong:
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. CoRR abs/2407.08910 (2024) - [i67]Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Haifeng Chen, Jie Gao:
RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point Detection. CoRR abs/2407.09698 (2024) - [i66]Zhixian Zhao, Haifeng Chen, Xi Li, Dongmei Jiang, Lei Xie:
Improving Multimodal Emotion Recognition by Leveraging Acoustic Adaptation and Visual Alignment. CoRR abs/2409.05015 (2024) - [i65]Lecheng Zheng, Zhengzhang Chen, Haifeng Chen, Jingrui He:
Online Multi-modal Root Cause Analysis. CoRR abs/2410.10021 (2024) - [i64]Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen:
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. CoRR abs/2410.17462 (2024) - [i63]Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng:
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. CoRR abs/2410.19230 (2024) - [i62]Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng:
Scattered Forest Search: Smarter Code Space Exploration with LLMs. CoRR abs/2411.05010 (2024) - [i61]Yan Li, Yifei Xing, Xiangyuan Lan, Xin Li, Haifeng Chen, Dongmei Jiang:
AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment. CoRR abs/2412.00833 (2024) - [i60]Qiwei Zhao, Xujiang Zhao, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Haifeng Chen:
SAUP: Situation Awareness Uncertainty Propagation on LLM Agent. CoRR abs/2412.01033 (2024) - [i59]ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni:
Exploring Multi-Modal Integration with Tool-Augmented LLM Agents for Precise Causal Discovery. CoRR abs/2412.13667 (2024) - 2023
- [j50]Guojun Yang, Xue Li, Weiwei Zhang, Nier Wu, Haifeng Chen, Xia Liu, Haiyue Jiang:
Quantitative T2 mapping monitoring the maturation of engineered elastic cartilage in a rabbit model. BMC Medical Imaging 23(1): 36 (2023) - [j49]Zechuan Wang, Junwan Zhu, Zhigang Lu, Jingrui Duan, Haifeng Chen, Shaomeng Wang, Zhanliang Wang, Huarong Gong, Yubin Gong:
A Novel Staggered Double-Segmented Grating Slow-Wave Structure for 340 GHz Traveling-Wave Tube. Sensors 23(10): 4762 (2023) - [j48]Haifeng Chen, Dongmei Jiang, Yong Zhao, Xiaoyong Wei, Ke Lu, Hichem Sahli:
Region Attentive Action Unit Intensity Estimation With Uncertainty Weighted Multi-Task Learning. IEEE Trans. Affect. Comput. 14(3): 2033-2047 (2023) - [j47]Fan Li, Jianjun Gao, Mauricio D. Sacchi, Jun Lu, Yun Wang, Haifeng Chen, Chaolin Li:
Multicomponent Seismic Data Reconstruction via a Biquaternion-Based Vector POCS Method. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j46]Fan Li, Jianjun Gao, Mauricio D. Sacchi, Jun Lu, Yun Wang, Haifeng Chen, Chaolin Li:
Correction to "Multicomponent Seismic Data Reconstruction via a Biquaternion-Based Vector POCS Method". IEEE Trans. Geosci. Remote. Sens. 61: 1 (2023) - [j45]Denghui Zhang, Yanchi Liu, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong:
Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning. IEEE Trans. Knowl. Data Eng. 35(7): 7239-7250 (2023) - [j44]Li Wang, Xinyu Zhang, Jun Li, Baowei Xv, Rong Fu, Haifeng Chen, Lei Yang, Dafeng Jin, Lijun Zhao:
Multi-Modal and Multi-Scale Fusion 3D Object Detection of 4D Radar and LiDAR for Autonomous Driving. IEEE Trans. Veh. Technol. 72(5): 5628-5641 (2023) - [c164]Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Time Series Contrastive Learning with Information-Aware Augmentations. AAAI 2023: 4534-4542 - [c163]Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu:
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data. ACL (2) 2023: 1349-1358 - [c162]Mingyue Zheng, Wangyong Chen, Yaoyang Lyu, Haifeng Chen, Jiahui Chen, Linlin Cai:
Enhancing Temperature Immunity of Digital Circuit Against Aging : The Standard Cell Subset Method. ASICON 2023: 1-4 - [c161]Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen:
Adaptation Speed Analysis for Fairness-aware Causal Models. CIKM 2023: 1421-1430 - [c160]Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li:
Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning. CIKM 2023: 2270-2279 - [c159]Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen:
Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. CISS 2023: 1-6 - [c158]Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao:
Open-ended Commonsense Reasoning with Unrestricted Answer Candidates. EMNLP (Findings) 2023: 8035-8047 - [c157]Masanao Natsumeda, Takehiko Mizoguchi, Wei Cheng, Yuncong Chen, Haifeng Chen:
Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning. FUSION 2023: 1-8 - [c156]Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen:
Multi-Label Temporal Evidential Neural Networks for Early Event Detection. ICASSP 2023: 1-5 - [c155]Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu:
GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection. ICKG 2023: 9-18 - [c154]Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng:
Personalized Federated Learning under Mixture of Distributions. ICML 2023: 37860-37879 - [c153]Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen:
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. KDD 2023: 1010-1019 - [c152]Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen:
Incremental Causal Graph Learning for Online Root Cause Analysis. KDD 2023: 2269-2278 - [c151]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. KDD 2023: 3513-3524 - [c150]Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen:
Interdependent Causal Networks for Root Cause Localization. KDD 2023: 5051-5060 - [c149]Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen, Jiayu Zhou:
2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD 2023: 5903-5904 - [c148]Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen:
2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making. KDD 2023: 5907-5908 - [c147]Haifeng Chen, Chujia Guo, Yan Li, Peng Zhang, Dongmei Jiang:
Semi-Supervised Multimodal Emotion Recognition with Class-Balanced Pseudo-labeling. ACM Multimedia 2023: 9556-9560 - [c146]Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu:
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. NeurIPS 2023 - [c145]Peng Yuan, Lu-An Tang, Haifeng Chen, David S. Chang, Moto Sato, Kevin Woodward:
Temporal Graph Based Incident Analysis System for Internet of Things. ECML/PKDD (7) 2023: 305-309 - [i58]Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen:
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization. CoRR abs/2302.01987 (2023) - [i57]Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao:
Knowledge-enhanced Neural Machine Reasoning: A Review. CoRR abs/2302.02093 (2023) - [i56]Xianjun Yang, Yan Li, Xinlu Zhang, Haifeng Chen, Wei Cheng:
Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization. CoRR abs/2302.08081 (2023) - [i55]Xianjun Yang, Wei Cheng, Xujiang Zhao, Linda R. Petzold, Haifeng Chen:
Dynamic Prompting: A Unified Framework for Prompt Tuning. CoRR abs/2303.02909 (2023) - [i54]Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Time Series Contrastive Learning with Information-Aware Augmentations. CoRR abs/2303.11911 (2023) - [i53]Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng:
Personalized Federated Learning under Mixture of Distributions. CoRR abs/2305.01068 (2023) - [i52]Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu:
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data. CoRR abs/2305.03827 (2023) - [i51]Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen:
Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis. CoRR abs/2305.10638 (2023) - [i50]Xianjun Yang, Wei Cheng, Linda R. Petzold, William Yang Wang, Haifeng Chen:
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. CoRR abs/2305.17359 (2023) - [i49]Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao:
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR abs/2305.18703 (2023) - [i48]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. CoRR abs/2306.07919 (2023) - [i47]Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen:
Adaptation Speed Analysis for Fairness-aware Causal Models. CoRR abs/2308.16879 (2023) - [i46]Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao:
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty. CoRR abs/2309.03433 (2023) - [i45]Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu:
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection. CoRR abs/2309.05953 (2023) - [i44]Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen:
Pursuing Counterfactual Fairness via Sequential Autoencoder Across Domains. CoRR abs/2309.13005 (2023) - [i43]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Dynamic DAG Discovery for Interpretable Imitation Learning. CoRR abs/2310.00489 (2023) - [i42]Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo:
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. CoRR abs/2310.01820 (2023) - [i41]Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, Wei Wang, Wei Cheng:
Large Language Models Can Be Good Privacy Protection Learners. CoRR abs/2310.02469 (2023) - [i40]Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, Cong Liu:
Distantly-Supervised Joint Entity and Relation Extraction with Noise-Robust Learning. CoRR abs/2310.04994 (2023) - [i39]Xianjun Yang, Kexun Zhang, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng:
Zero-Shot Detection of Machine-Generated Codes. CoRR abs/2310.05103 (2023) - [i38]Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye:
A Survey of Heterogeneous Transfer Learning. CoRR abs/2310.08459 (2023) - [i37]Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong:
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR abs/2310.10196 (2023) - [i36]Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao:
Open-ended Commonsense Reasoning with Unrestricted Answer Scope. CoRR abs/2310.11672 (2023) - [i35]Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng:
A Survey on Detection of LLMs-Generated Content. CoRR abs/2310.15654 (2023) - [i34]Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang:
DyExplainer: Explainable Dynamic Graph Neural Networks. CoRR abs/2310.16375 (2023) - [i33]Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen:
Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation. CoRR abs/2312.12276 (2023) - 2022
- [j43]Haibo Liang, Haifeng Chen, Jinhong Guo, Jing Bai, Yingjun Jiang:
Research on lithology identification method based on mechanical specific energy principle and machine learning theory. Expert Syst. Appl. 189: 116142 (2022) - [j42]Peng Yuan, Lu-An Tang, Haifeng Chen, Moto Sato, Kevin Woodward:
3D Histogram Based Anomaly Detection for Categorical Sensor Data in Internet of Things. Open J. Internet Things 8(1): 32-43 (2022) - [j41]Haibo Liang, Haifeng Chen, Jinhong Guo, Xing Zuo:
Detection and Identification Method of Drilling Total Hydrocarbon Gas Based on Infrared Spectroscopy and KL+BP-RBF Algorithm. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j40]Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2365-2377 (2022) - [c144]Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi:
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. AAAI 2022: 11538-11546 - [c143]Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo:
Deep Federated Anomaly Detection for Multivariate Time Series Data. IEEE Big Data 2022: 1-10 - [c142]Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, Philip S. Yu:
Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. IEEE Big Data 2022: 636-645 - [c141]Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen:
Seed: Sound Event Early Detection Via Evidential Uncertainty. ICASSP 2022: 3618-3622 - [c140]Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao:
DeepGAR: Deep Graph Learning for Analogical Reasoning. ICDM 2022: 1065-1070 - [c139]Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang:
Personalized Federated Learning via Heterogeneous Modular Networks. ICDM 2022: 1197-1202 - [c138]Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen:
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings. ICLR 2022 - [c137]Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu:
Towards Learning Disentangled Representations for Time Series. KDD 2022: 3270-3278 - [c136]Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong:
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences. KDD 2022: 4541-4550 - [c135]Yong Zhao, Haifeng Chen, Hichem Sahli, Ke Lu, Dongmei Jiang:
Uncertainty-Aware Semi-Supervised Learning of 3D Face Rigging from Single Image. ACM Multimedia 2022: 170-179 - [c134]Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichuan Li, Wei Wang:
Multi-source Inductive Knowledge Graph Transfer. ECML/PKDD (2) 2022: 155-171 - [c133]Peng Yuan, Lu-An Tang, Haifeng Chen, Moto Sato, Kevin Woodward:
Explainable Anomaly Detection System for Categorical Sensor Data in Internet of Things. ECML/PKDD (6) 2022: 594-598 - [i32]Jurijs Nazarovs, Cristian Lumezanu, Qianying Ren, Yuncong Chen, Takehiko Mizoguchi, Dongjin Song, Haifeng Chen:
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series. CoRR abs/2201.09907 (2022) - [i31]Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen:
SEED: Sound Event Early Detection via Evidential Uncertainty. CoRR abs/2202.02441 (2022) - [i30]Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo:
Deep Federated Anomaly Detection for Multivariate Time Series Data. CoRR abs/2205.04041 (2022) - [i29]Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang:
Personalized Federated Learning via Heterogeneous Modular Networks. CoRR abs/2210.14830 (2022) - [i28]Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao:
DeepGAR: Deep Graph Learning for Analogical Reasoning. CoRR abs/2211.10821 (2022) - 2021
- [j39]Ziquan Jiao, Zhiqiang Feng, Shanben Chen, Haifeng Chen, Jianxing Yu:
An Approximate Inference Scheme Based on Distance-Induced Relations: Weld Forming Prediction. IEEE Access 9: 62820-62836 (2021) - [j38]Yong Chen, Yuquan Zhu, Haifeng Chen, Yan Shen, Zhao Xu:
A Pruning Optimized Fast Learn++NSE Algorithm. IEEE Access 9: 150733-150743 (2021) - [j37]Boxiang Dong, Zhengzhang Chen, Lu-An Tang, Haifeng Chen, Hui Wang, Kai Zhang, Ying Lin, Zhichun Li:
Anomalous Event Sequence Detection. IEEE Intell. Syst. 36(3): 5-13 (2021) - [j36]Haibo Liang, Haifeng Chen, Jialing Zou, Jing Bai:
Technical research on realizing remote intelligent diagnosis of petroleum drilling loss circulation under smart city strategy. Future Gener. Comput. Syst. 125: 91-99 (2021) - [j35]Haifeng Chen, Dongmei Jiang, Hichem Sahli:
Transformer Encoder With Multi-Modal Multi-Head Attention for Continuous Affect Recognition. IEEE Trans. Multim. 23: 4171-4183 (2021) - [j34]Chuxu Zhang, Huaxiu Yao, Lu Yu, Chao Huang, Dongjin Song, Haifeng Chen, Meng Jiang, Nitesh V. Chawla:
Inductive Contextual Relation Learning for Personalization. ACM Trans. Inf. Syst. 39(3): 35:1-35:22 (2021) - [c132]Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson:
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI 2021: 651-659 - [c131]Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang:
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. AAAI 2021: 4546-4554 - [c130]Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang:
Multi-Task Recurrent Modular Networks. AAAI 2021: 10496-10504 - [c129]Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen:
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM 2021: 1366-1375 - [c128]Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen:
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. CIKM 2021: 3747-3756 - [c127]Zeyu Li, Wei Cheng, Haiqi Xiao, Wenchao Yu, Haifeng Chen, Wei Wang:
You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation. CIKM 2021: 3945-3954 - [c126]Yue Li, Zhenyu Wu, Haining Wang, Kun Sun, Zhichun Li, Kangkook Jee, Junghwan Rhee, Haifeng Chen:
UTrack: Enterprise User Tracking Based on OS-Level Audit Logs. CODASPY 2021: 161-172 - [c125]Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. CVPR 2021: 13254-13263 - [c124]Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang:
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction. EMNLP (Findings) 2021: 763-778 - [c123]Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi:
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. EMNLP (1) 2021: 6716-6723 - [c122]Xiaojuan Yan, Kang An, Dan Li, Hongxia Xi, Yuli Wang, Xin Li, Haifeng Chen:
Delay-Limited Performance Analysis of NOMA-enabled Satellite Internet of Things. ICCC 2021: 219-223 - [c121]Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
AutoOD: Neural Architecture Search for Outlier Detection. ICDE 2021: 2117-2122 - [c120]Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu:
Aspect-based Sentiment Classification via Reinforcement Learning. ICDM 2021: 1391-1396 - [c119]Haifeng Chen, Yifan Deng, Dongmei Jiang:
Temporal Attentive Adversarial Domain Adaption for Cross Cultural Affect Recognition. ICMI Companion 2021: 97-103 - [c118]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen:
Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. KDD 2021: 2145-2153 - [c117]Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang:
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. KDD 2021: 3726-3734 - [c116]Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen:
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. ACM Multimedia 2021: 5546-5554 - [c115]Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen:
Unsupervised Concept Representation Learning for Length-Varying Text Similarity. NAACL-HLT 2021: 5611-5620 - [c114]Cuiwen Hu, Haifeng Chen, Deyun Mo, Haishan Lian, Yinhuan Yang, Xiaojun Chen:
Direct-write 3D printed self-supporting flexible microstructure devices. NEMS 2021: 319-323 - [c113]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang:
InfoGCL: Information-Aware Graph Contrastive Learning. NeurIPS 2021: 30414-30425 - [c112]Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang:
Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. SDM 2021: 91-99 - [c111]Xueyuan Han, Xiao Yu, Thomas F. J.-M. Pasquier, Ding Li, Junghwan Rhee, James W. Mickens, Margo I. Seltzer, Haifeng Chen:
SIGL: Securing Software Installations Through Deep Graph Learning. USENIX Security Symposium 2021: 2345-2362 - [c110]Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang:
Learning to Drop: Robust Graph Neural Network via Topological Denoising. WSDM 2021: 779-787 - [i27]Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson:
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR abs/2103.02164 (2021) - [i26]Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang:
Unsupervised Document Embedding via Contrastive Augmentation. CoRR abs/2103.14542 (2021) - [i25]Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. CoRR abs/2104.04107 (2021) - [i24]Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu:
Learning Disentangled Representations for Time Series. CoRR abs/2105.08179 (2021) - [i23]Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen:
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. CoRR abs/2107.13720 (2021) - [i22]Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi:
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. CoRR abs/2109.00194 (2021) - [i21]Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang:
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction. CoRR abs/2109.03821 (2021) - [i20]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang:
InfoGCL: Information-Aware Graph Contrastive Learning. CoRR abs/2110.15438 (2021) - [i19]Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi:
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. CoRR abs/2112.00503 (2021) - [i18]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen:
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment. CoRR abs/2112.03024 (2021) - [i17]Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao:
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? CoRR abs/2112.12356 (2021) - 2020
- [j33]Chong Xin, Xin Chen, Haifeng Chen, Shuangrui Chen, Meiqi Zhang:
Green Product Supply Chain Coordination Under Demand Uncertainty. IEEE Access 8: 25877-25891 (2020) - [j32]Jiayi Tian, Haifeng Chen, Xuancen Liu, Huabo Yang, Shifeng Zhang:
Integrated Strapdown Missile Guidance and Control With Field-of-View Constraint and Actuator Saturation. IEEE Access 8: 123623-123638 (2020) - [j31]Jiajing Xie, Yang Xu, Haifeng Chen, Meirong Chi, Jun He, Meifeng Li, Hui Liu, Jie Xia, Qingzhou Guan, Zheng Guo, Haidan Yan:
Identification of population-level differentially expressed genes in one-phenotype data. Bioinform. 36(15): 4283-4290 (2020) - [c109]Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang:
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. AAAI 2020: 1395-1402 - [c108]Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen:
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. AAAI 2020: 1403-1411 - [c107]Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo:
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. AAAI 2020: 7667-7674 - [c106]Kyungtae Kim, Chung Hwan Kim, Junghwan John Rhee, Xiao Yu, Haifeng Chen, Dave (Jing) Tian, Byoungyoung Lee:
Vessels: efficient and scalable deep learning prediction on trusted processors. SoCC 2020: 462-476 - [c105]Bin Nie, Jianwu Xu, Jacob Alter, Haifeng Chen, Evgenia Smirni:
Mining Multivariate Discrete Event Sequences for Knowledge Discovery and Anomaly Detection. DSN 2020: 552-563 - [c104]Jiaping Gui, Ding Li, Zhengzhang Chen, Junghwan Rhee, Xusheng Xiao, Mu Zhang, Kangkook Jee, Zhichun Li, Haifeng Chen:
APTrace: A Responsive System for Agile Enterprise Level Causality Analysis. ICDE 2020: 1701-1712 - [c103]Peng Gao, Xusheng Xiao, Ding Li, Kangkook Jee, Haifeng Chen, Sanjeev R. Kulkarni, Prateek Mittal:
Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection. ICDE 2020: 1774-1777 - [c102]Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong:
T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. ICDM 2020: 1388-1393 - [c101]Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu:
Inductive and Unsupervised Representation Learning on Graph Structured Objects. ICLR 2020 - [c100]Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang:
Robust Graph Representation Learning via Neural Sparsification. ICML 2020: 11458-11468 - [c99]Masanao Natsumeda, Haifeng Chen:
RULENet: End-to-end Learning with the Dual-estimator for Remaining Useful Life Estimation. ICPHM 2020: 1-8 - [c98]Bo Dong, Cristian Lumezanu, Yuncong Chen, Dongjin Song, Takehiko Mizoguchi, Haifeng Chen, Latifur Khan:
At the Speed of Sound: Efficient Audio Scene Classification. ICMR 2020: 301-305 - [c97]Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen:
You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. NDSS 2020 - [c96]Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang:
Parameterized Explainer for Graph Neural Network. NeurIPS 2020 - [c95]Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang:
Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution. ECML/PKDD (3) 2020: 330-346 - [c94]Jiaping Gui, Zhengzhang Chen, Xiao Yu, Cristian Lumezanu, Haifeng Chen:
Anomaly Detection on Web-User Behaviors Through Deep Learning. SecureComm (1) 2020: 467-473 - [c93]Zeyu Li, Wei Cheng, Yang Chen, Haifeng Chen, Wei Wang:
Interpretable Click-Through Rate Prediction through Hierarchical Attention. WSDM 2020: 313-321 - [c92]Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen:
Temporal Context-Aware Representation Learning for Question Routing. WSDM 2020: 753-761 - [c91]Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha:
Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. WWW 2020: 1785-1795 - [c90]Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu:
A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. WWW 2020: 2144-2154 - [i16]Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo:
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. CoRR abs/2001.04346 (2020) - [i15]Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen:
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. CoRR abs/2005.07427 (2020) - [i14]Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning. CoRR abs/2006.11321 (2020) - [i13]Xueyuan Han, Xiao Yu, Thomas F. J.-M. Pasquier, Ding Li, Junghwan Rhee, James Mickens, Margo I. Seltzer, Haifeng Chen:
SIGL: Securing Software Installations Through Deep Graph Learning. CoRR abs/2008.11533 (2020) - [i12]Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang:
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. CoRR abs/2008.13361 (2020) - [i11]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong:
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. CoRR abs/2009.02835 (2020) - [i10]Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong:
T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. CoRR abs/2010.13903 (2020) - [i9]Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang:
Parameterized Explainer for Graph Neural Network. CoRR abs/2011.04573 (2020) - [i8]Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang:
Learning to Drop: Robust Graph Neural Network via Topological Denoising. CoRR abs/2011.07057 (2020)
2010 – 2019
- 2019
- [j30]Junhua Yang, Baozhou Huang, Hui Shen, Dongshen Xie, Fengjun Xiong, Siling Lu, Haifeng Chen:
EKF Based Fuzzy PI Controlled Speed Sensorless Power Optimal Control of a Direct Drive Power System. IEEE Access 7: 61610-61619 (2019) - [j29]Haibo Liang, Haifeng Chen, Yanjun Lu:
Research on sensor error compensation of comprehensive logging unit based on machine learning. J. Intell. Fuzzy Syst. 37(3): 3113-3123 (2019) - [j28]Shiqi Yu, Rijun Liao, Weizhi An, Haifeng Chen, Edel B. García Reyes, Yongzhen Huang, Norman Poh:
GaitGANv2: Invariant gait feature extraction using generative adversarial networks. Pattern Recognit. 87: 179-189 (2019) - [c89]Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla:
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. AAAI 2019: 1409-1416 - [c88]Yan Li, Le Yang, Haifeng Chen, Dongmei Jiang, Hichem Sahli:
Audio Visual Multimodal Classification of Bipolar Disorder Episodes. ACII Workshops 2019: 115-120 - [c87]Jiaping Gui, Xusheng Xiao, Ding Li, Chung Hwan Kim, Haifeng Chen:
Progressive processing of system-behavioral query. ACSAC 2019: 378-389 - [c86]Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang:
Self-Attentive Attributed Network Embedding Through Adversarial Learning. ICDM 2019: 758-767 - [c85]Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen:
Learning Robust Representations with Graph Denoising Policy Network. ICDM 2019: 1378-1383 - [c84]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang:
Adaptive Neural Network for Node Classification in Dynamic Networks. ICDM 2019: 1402-1407 - [c83]Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu:
Heterogeneous Graph Matching Networks for Unknown Malware Detection. IJCAI 2019: 3762-3770 - [c82]Haifeng Chen, Yifan Deng, Shiwen Cheng, Yixuan Wang, Dongmei Jiang, Hichem Sahli:
Efficient Spatial Temporal Convolutional Features for Audiovisual Continuous Affect Recognition. AVEC@MM 2019: 19-26 - [c81]Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Deep Co-Clustering. SDM 2019: 414-422 - [c80]Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu:
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification. SDM 2019: 693-701 - [c79]Cheng Jin, Cristian Lumezanu, Zhi-Li Zhang, Haifeng Chen:
Clairvoyant Networks. TMA 2019: 89-96 - [i7]Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu:
Adversarial Defense Framework for Graph Neural Network. CoRR abs/1905.03679 (2019) - [i6]Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen:
Learning Robust Representations with Graph Denoising Policy Network. CoRR abs/1910.01784 (2019) - [i5]Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu:
Heterogeneous Graph Matching Networks. CoRR abs/1910.08074 (2019) - 2018
- [j27]Mingda Li, Bo Zong, Cristian Lumezanu, Haifeng Chen:
Learning IP network representations. Comput. Commun. Rev. 48(5): 48-54 (2018) - [c78]Qi Song, Bo Zong, Yinghui Wu, Lu-An Tang, Hui Zhang, Guofei Jiang, Haifeng Chen:
TGNet: Learning to Rank Nodes in Temporal Graphs. CIKM 2018: 97-106 - [c77]Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Dae-ki Cho, Haifeng Chen:
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection. ICLR (Poster) 2018 - [c76]Hui Nie, Haifeng Chen:
Piecewise Linear Interpolation Algorithm in the High Precision Electronic System. ICSAI 2018: 65-69 - [c75]Yanming Wang, Haifeng Chen:
Application of Improved Kalman Filter in High Precision Electronic Scales. ICSAI 2018: 623-628 - [c74]Yanchi Liu, Tan Yan, Haifeng Chen:
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics. IJCAI 2018: 2475-2482 - [c73]Tomio Goto, Hiroki Senshiki, Masanao Sawada, Haifeng Chen, Reo Aoki:
Image Restoration Method for Non-uniform Blurred Images. IST 2018: 1-6 - [c72]Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li, Haifeng Chen, Jieping Ye:
TINET: Learning Invariant Networks via Knowledge Transfer. KDD 2018: 1890-1899 - [c71]Dongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao:
Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval. KDD 2018: 2229-2238 - [c70]Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang:
Learning Deep Network Representations with Adversarially Regularized Autoencoders. KDD 2018: 2663-2671 - [c69]Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang:
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. KDD 2018: 2672-2681 - [c68]Le Yang, Yan Li, Haifeng Chen, Dongmei Jiang, Meshia Cédric Oveneke, Hichem Sahli:
Bipolar Disorder Recognition with Histogram Features of Arousal and Body Gestures. AVEC@MM 2018: 15-21 - [c67]Mingda Li, Cristian Lumezanu, Bo Zong, Haifeng Chen:
Deep Learning IP Network Representations. Big-DAMA@SIGCOMM 2018: 33-39 - [c66]Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang:
Co-Regularized Deep Multi-Network Embedding. WWW 2018: 469-478 - [i4]Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla:
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. CoRR abs/1811.08055 (2018) - [i3]Shen Wang, Zhengzhang Chen, Ding Li, Lu-An Tang, Jingchao Ni, Zhichun Li, Junghwan Rhee, Haifeng Chen, Philip S. Yu:
Deep Program Reidentification: A Graph Neural Network Solution. CoRR abs/1812.04064 (2018) - 2017
- [j26]Shiqi Yu, Haifeng Chen, Qing Wang, Linlin Shen, Yongzhen Huang:
Invariant feature extraction for gait recognition using only one uniform model. Neurocomputing 239: 81-93 (2017) - [j25]Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang:
Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. ACM Trans. Knowl. Discov. Data 11(4): 40:1-40:28 (2017) - [c65]Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, Jinbo Bi:
Identifying and quantifying nonlinear structured relationships in complex manufactural systems. IEEE BigData 2017: 1357-1362 - [c64]Boxiang Dong, Zhengzhang Chen, Wendy Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Zhichun Li, Haifeng Chen:
Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems. CIKM 2017: 707-715 - [c63]Shiqi Yu, Haifeng Chen, Edel B. García Reyes, Norman Poh:
GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks. CVPR Workshops 2017: 532-539 - [c62]Hiroki Senshiki, Satoshi Motohashi, Tomio Goto, Haifeng Chen, Reo Aoki:
PSF estimation using total variation regularization and shock filter for blind deconvolution. ICCE 2017: 460-461 - [c61]Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang:
Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. ICDM 2017: 1003-1008 - [c60]Tomio Goto, Hiroki Senshiki, Satoshi Motohashi, Haifeng Chen, Reo Aoki:
Blind image restoration utilizing total variation regularization, shock filter and gradient reliability map. ICIP 2017: 3200-3204 - [c59]Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell:
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. IJCAI 2017: 2627-2633 - [c58]Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang:
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks. IJCAI 2017: 3343-3349 - [i2]Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell:
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. CoRR abs/1704.02971 (2017) - 2016
- [j24]Haifeng Chen, Andrew D. Smith, Ting Chen:
WALT: fast and accurate read mapping for bisulfite sequencing. Bioinform. 32(22): 3507-3509 (2016) - [j23]Xinya Han, Xiuyun Zhu, Shuaihua Zhu, Lin Wei, Zongqin Hong, Li Guo, Haifeng Chen, Bo Chi, Yan Liu, Lingling Feng, Yanliang Ren, Jian Wan:
A Rational Design, Synthesis, Biological Evaluation and Structure-Activity Relationship Study of Novel Inhibitors against Cyanobacterial Fructose-1, 6-bisphosphate Aldolase. J. Chem. Inf. Model. 56(1): 73-81 (2016) - [c57]Tian Guo, Zhao Xu, Xin Yao, Haifeng Chen, Karl Aberer, Koichi Funaya:
Robust Online Time Series Prediction with Recurrent Neural Networks. DSAA 2016: 816-825 - [c56]Haifeng Chen, Xuebin Sun, Dianjun Chen:
Artificial fish swarm algorithm in industrial process alarm threshold optimization. ISCIT 2016: 691-694 - [c55]Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang:
Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. KDD 2016: 805-814 - [c54]Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye:
Annealed Sparsity via Adaptive and Dynamic Shrinking. KDD 2016: 1325-1334 - [c53]Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Guofei Jiang:
Integrating Community and Role Detection in Information Networks. SDM 2016: 72-80 - [i1]Boxiang Dong, Zhengzhang Chen, Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Haifeng Chen, Guofei Jiang:
GID: Graph-based Intrusion Detection on Massive Process Traces for Enterprise Security Systems. CoRR abs/1608.02639 (2016) - 2015
- [j22]Jian Li, Haifeng Chen, Gang Li, Bin He, Yujie Zhang, Xiaojiao Tao:
Salient object detection based on meanshift filtering and fusion of colour information. IET Image Process. 9(11): 977-985 (2015) - [c52]Haifeng Chen, Takehiko Mizoguchi, Yan Tan, Kai Zhang, Geoff Jiang:
A Quality Control Engine for Complex Physical Systems. DSN 2015: 529-536 - [c51]Zheng Han, Haifeng Chen, Tan Yan, Geoff Jiang:
Time Series Segmentation to Discover Behavior Switching in Complex Physical Systems. ICDM 2015: 161-170 - [c50]Haifeng Chen, Duan Xie:
Optical Characteristics of Antireflection of SiN Layer on the Si Substrate. ITITS (1) 2015: 393-398 - [c49]Liudmila Ulanova, Tan Yan, Haifeng Chen, Guofei Jiang, Eamonn J. Keogh, Kai Zhang:
Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems. KDD 2015: 2167-2176 - [c48]Zhao Xu, Koichi Funaya, Haifeng Chen, Sergio Leoni:
Semi-supervised Multivariate Sequential Pattern Mining. NFMCP 2015: 211-223 - 2014
- [j21]Abhishek B. Sharma, Franjo Ivancic, Alexandru Niculescu-Mizil, Haifeng Chen, Guofei Jiang:
Modeling and analytics for cyber-physical systems in the age of big data. SIGMETRICS Perform. Evaluation Rev. 41(4): 74-77 (2014) - [j20]Hui Zhang, Guofei Jiang, Kenji Yoshihira, Haifeng Chen:
Proactive Workload Management in Hybrid Cloud Computing. IEEE Trans. Netw. Serv. Manag. 11(1): 90-100 (2014) - [c47]Om Prasad Patri, Abhishek B. Sharma, Haifeng Chen, Guofei Jiang, Anand V. Panangadan, Viktor K. Prasanna:
Extracting discriminative shapelets from heterogeneous sensor data. IEEE BigData 2014: 1095-1104 - [c46]Yumin Hu, Liang Xiao, Xing Liu, Jianzhou Liu, Zhenzhen Yan, Qiuju Wei, Haifeng Chen:
Multi-agent Based Clinical Knowledge Representation with Its Dynamic Parse and Execution. HIS 2014: 248-260 - 2013
- [c45]Bin Liu, Haifeng Chen, Abhishek B. Sharma, Guofei Jiang, Hui Xiong:
Modeling heterogeneous time series dynamics to profile big sensor data in complex physical systems. IEEE BigData 2013: 631-638 - [c44]Abhishek B. Sharma, Haifeng Chen, Min Ding, Kenji Yoshihira, Guofei Jiang:
Fault detection and localization in distributed systems using invariant relationships. DSN 2013: 1-8 - [c43]Min Ding, Haifeng Chen, Abhishek B. Sharma, Kenji Yoshihira, Guofei Jiang:
A Data Analytic Engine Towards Self-Management of Cyber-Physical Systems. ICDCS Workshops 2013: 303-308 - [c42]Haifeng Chen, Hui Kang, Guofei Jiang, Yueping Zhang:
Network-aware coordination of virtual machine migrations in enterprise data centers and clouds. IM 2013: 888-891 - 2012
- [c41]Jian Li, Shujuan Cui, Chengyan Zhang, Haifeng Chen:
Research on Localization of Apples Based on Binocular Stereo Vision Marked by Cancroids Matching. ICDMA 2012: 683-686 - 2011
- [j19]Guofei Jiang, Haifeng Chen, Kenji Yoshihira, Akhilesh Saxena:
Ranking the importance of alerts for problem determination in large computer systems. Clust. Comput. 14(3): 213-227 (2011) - [j18]Zhimin Huang, Liang Zhu, Yan Cao, Geng Wu, Xinyi Liu, Yingyi Chen, Qi Wang, Ting Shi, Yaxue Zhao, Yuefei Wang, Weihua Li, Yixue Li, Haifeng Chen, Guoqiang Chen, Jian Zhang:
ASD: a comprehensive database of allosteric proteins and modulators. Nucleic Acids Res. 39(Database-Issue): 663-669 (2011) - [j17]Haifeng Chen, Wenxuan Zhang, Guofei Jiang:
Experience Transfer for the Configuration Tuning in Large-Scale Computing Systems. IEEE Trans. Knowl. Data Eng. 23(3): 388-401 (2011) - [c40]Yeongjoon Gil, Gang Li, Haifeng Chen, Jungtae Lee:
A wireless EEG monitor system based on BSN node. CBMS 2011: 1-7 - [c39]Haifeng Chen, Hui Kang, Guofei Jiang, Kenji Yoshihira:
Application Behavior Mapping across Heterogeneous Hardware Platforms. DASC 2011: 388-395 - [c38]Lei Lu, Hui Zhang, Guofei Jiang, Haifeng Chen, Kenji Yoshihira, Evgenia Smirni:
Untangling mixed information to calibrate resource utilization in virtual machines. ICAC 2011: 151-160 - 2010
- [j16]Haifeng Chen, Wanqing Wu, Jungtae Lee:
A WBAN-based Real-time Electroencephalogram Monitoring System: Design and Implementation. J. Medical Syst. 34(3): 303-311 (2010) - [j15]Xiaozhu Kang, Hui Zhang, Guofei Jiang, Haifeng Chen, Xiaoqiao Meng, Kenji Yoshihira:
Understanding Internet Video sharing site workload: A view from data center design. J. Vis. Commun. Image Represent. 21(2): 129-138 (2010) - [c37]Hui Kang, Haifeng Chen, Guofei Jiang:
PeerWatch: a fault detection and diagnosis tool for virtualized consolidation systems. ICAC 2010: 119-128 - [c36]Gang Li, Haifeng Chen, Jungtae Lee:
A wireless EEG monitor system based on BSN node. IHI 2010: 758-764 - [c35]Qian Zhang, Haifeng Chen, Binbin Wang:
Modeling and Simulation of Two-Leaf Semi-rotary VAWT. LSMS/ICSEE (1) 2010: 389-398 - [c34]Haifeng Chen, Hui Kang, Guofei Jiang, Kenji Yoshihira, Akhilesh Saxena:
VCAE: A Virtualization and Consolidation Analysis Engine for Large Scale Data Centers. SASO 2010: 1-10 - [c33]Haifeng Chen, Guofei Jiang, Hui Zhang, Kenji Yoshihira:
A Cooperative Sampling Approach to Discovering Optimal Configurations in Large Scale Computing Systems. SRDS 2010: 111-120 - [c32]Haifeng Chen, Guofei Jiang, Kenji Yoshihira, Akhilesh Saxena:
Invariants Based Failure Diagnosis in Distributed Computing Systems. SRDS 2010: 160-166
2000 – 2009
- 2009
- [j14]Hui Zhang, Haifeng Chen, Guofei Jiang, Xiaoqiao Meng, Kenji Yoshihira:
Fast Indexing for Large-scale Networked System Modeling. J. Networks 4(8): 734-742 (2009) - [j13]Haifeng Chen, Wenxuan Zhang, Guofei Jiang:
Experience transfer for the configuration tuning in large scale computing systems. SIGMETRICS Perform. Evaluation Rev. 37(2): 51-52 (2009) - [c31]Lin Zhu, Haifeng Chen, Xu Zhang, Kai Guo, Shujing Wang, Yu Wang, Weihua Pei, Hongda Chen:
Design of Portable Multi-Channel EEG Signal Acquisition System. BMEI 2009: 1-4 - [c30]Guofei Jiang, Haifeng Chen, Kenji Yoshihira, Akhilesh Saxena:
Ranking the importance of alerts for problem determination in large computer systems. ICAC 2009: 3-12 - [c29]Hui Zhang, Guofei Jiang, Kenji Yoshihira, Haifeng Chen, Akhilesh Saxena:
Resilient workload manager: taming bursty workload of scaling internet applications. ICAC 2009: 45-46 - [c28]Jing Gao, Guofei Jiang, Haifeng Chen, Jiawei Han:
Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems. ICDCS 2009: 623-630 - [c27]Wanqing Wu, Jungtae Lee, Haifeng Chen:
Estimation of Heart Rate Variability Changes during Different Visual Stimulations Using Non-invasive Continuous ECG Monitoring System. IJCBS 2009: 344-347 - [c26]Haifeng Chen, Guofei Jiang, Hui Zhang, Kenji Yoshihira:
Boosting the performance of computing systems through adaptive configuration tuning. SAC 2009: 1045-1049 - [c25]Haifeng Chen, Guofei Jiang:
A gradient oriented recombination scheme for evolution strategies. SAC 2009: 1080-1084 - [c24]Hui Zhang, Guofei Jiang, Kenji Yoshihira, Haifeng Chen, Akhilesh Saxena:
Intelligent Workload Factoring for a Hybrid Cloud Computing Model. SERVICES I 2009: 701-708 - 2008
- [j12]Guofei Jiang, Haifeng Chen, Kenji Yoshihira:
Profiling services for resource optimization and capacity planning in distributed systems. Clust. Comput. 11(4): 313-329 (2008) - [j11]Haifeng Chen, Guofei Jiang, Kenji Yoshihira:
Monitoring High-Dimensional Data for Failure Detection and Localization in Large-Scale Computing Systems. IEEE Trans. Knowl. Data Eng. 20(1): 13-25 (2008) - [c23]Hui Zhang, Abhishek B. Sharma, Haifeng Chen, Guofei Jiang, Xiaoqiao Meng, Kenji Yoshihira:
Enabling Information Confidentiality in Publish/Subscribe Overlay Services. ICC 2008: 5624-5628 - [c22]Anooshiravan Saboori, Guofei Jiang, Haifeng Chen:
Autotuning Configurations in Distributed Systems for Performance Improvements Using Evolutionary Strategies. ICDCS 2008: 769-776 - [c21]Haifeng Chen, Haibin Cheng, Guofei Jiang, Kenji Yoshihira:
Exploiting Local and Global Invariants for the Management of Large Scale Information Systems. ICDM 2008: 113-122 - [c20]Xiaozhu Kang, Hui Zhang, Guofei Jiang, Haifeng Chen, Xiaoqiao Meng, Kenji Yoshihira:
Measurement, Modeling, and Analysis of Internet Video Sharing Site Workload: A Case Study. ICWS 2008: 278-285 - [c19]Xiaoqiao Meng, Guofei Jiang, Hui Zhang, Haifeng Chen, Kenji Yoshihira:
Automatic Profiling of Network Event Sequences: Algorithm and Applications. INFOCOM 2008: 266-270 - [c18]Nanyan Jiang, Guofei Jiang, Haifeng Chen, Kenji Yoshihira:
Correlating real-time monitoring data for mobile network management. WOWMOM 2008: 1-8 - [c17]Xiaozhu Kang, Hui Zhang, Guofei Jiang, Haifeng Chen, Xiaoqiao Meng, Kenji Yoshihira:
Understanding internet video sharing site workload: a view from data center design. WWW 2008: 1097-1098 - 2007
- [j10]Haifeng Chen, Guofei Jiang, Kenji Yoshihira:
Failure Detection in Large-Scale Internet Services by Principal Subspace Mapping. IEEE Trans. Knowl. Data Eng. 19(10): 1308-1320 (2007) - [j9]Guofei Jiang, Haifeng Chen, Kenji Yoshihira:
Efficient and Scalable Algorithms for Inferring Likely Invariants in Distributed Systems. IEEE Trans. Knowl. Data Eng. 19(11): 1508-1523 (2007) - [j8]Guofei Jiang, Haifeng Chen, Cristian Ungureanu, Kenji Yoshihira:
Multiresolution Abnormal Trace Detection Using Varied-Length n-Grams and Automata. IEEE Trans. Syst. Man Cybern. Part C 37(1): 86-97 (2007) - [j7]Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Kenji Yoshihira:
Online Tracking of Component Interactions for Failure Detection and Localization in Distributed Systems. IEEE Trans. Syst. Man Cybern. Part C 37(4): 644-651 (2007) - [c16]Ssanghee Seo, Haifeng Chen, Donghee Ye, Jungtae Lee, Kyungjae Ha:
Measurement and Analysis of "Yes" and "No" Responses by Auditory Stimuli Questions in Human EEG. FBIT 2007: 443-448 - [c15]Haifeng Chen, Ssanghee Seo, Donghee Ye, Jungtae Lee:
Development of a Tiny Computer-Assisted Wireless EEG Biofeedback System. ICES 2007: 163-173 - [c14]Haifeng Chen, Donghee Ye, Jungtae Lee:
Development of a Portable EEG Monitoring System based on WLAN. ICNSC 2007: 460-465 - [c13]Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yoshihira:
Nonlinear Feature Selection by Relevance Feature Vector Machine. MLDM 2007: 144-159 - 2006
- [j6]Guofei Jiang, Haifeng Chen, Kenji Yoshihira:
Discovering likely invariants of distributed transaction systems for autonomic system management. Clust. Comput. 9(4): 385-399 (2006) - [j5]Guofei Jiang, Haifeng Chen, Kenji Yoshihira:
Modeling and Tracking of Transaction Flow Dynamics for Fault Detection in Complex Systems. IEEE Trans. Dependable Secur. Comput. 3(4): 312-326 (2006) - [c12]Zhen Guo, Guofei Jiang, Haifeng Chen, Kenji Yoshihira:
Tracking Probabilistic Correlation of Monitoring Data for Fault Detection in Complex Systems. DSN 2006: 259-268 - [c11]Guofei Jiang, Haifeng Chen, Kenji Yoshihira:
Discovering Likely Invariants of Distributed Transaction Systems for Autonomic System Management. ICAC 2006: 199-208 - [c10]Haifeng Chen, Guofei Jiang, Kenji Yoshihira:
Robust Nonlinear Dimensionality Reduction for Manifold Learning. ICPR (2) 2006: 447-450 - [c9]Haifeng Chen, Guofei Jiang, Kenji Yoshihira:
Fault Detection in Distributed Systems by Representative Subspace Mapping. ICPR (4) 2006: 912-915 - [c8]Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Kenji Yoshihira:
Combining supervised and unsupervised monitoring for fault detection in distributed computing systems. SAC 2006: 705-709 - 2005
- [j4]Haifeng Chen, Bo Tao Fan, Chenyang Zhao, Lan Xie, Chun-Hong Zhao, Ting Zhou, Kuo-Hsiung Lee, Graham Allaway:
Computational Studies and Drug Design for HIV-1 Reverse Transcriptase Inhibitors of 3′, 4′-di-O-(S)-camphanoyl-(+)-cis-Khellactone (DCK) Analogs. J. Comput. Aided Mol. Des. 19(4): 243-258 (2005) - [j3]Qian Zhu, Jianhua Yao, Shengang Yuan, Feng Li, Haifeng Chen, Wei Cai, Quan Liao:
Superstructure Searching Algorithm for Generic Reaction Retrieval. J. Chem. Inf. Model. 45(5): 1214-1222 (2005) - [j2]Haifeng Chen, Peter Meer:
Robust fusion of uncertain information. IEEE Trans. Syst. Man Cybern. Part B 35(3): 578-586 (2005) - [c7]Guofei Jiang, Haifeng Chen, Cristian Ungureanu, Kenji Yoshihira:
Multi-resolution Abnormal Trace Detection Using Varied-length N-grams and Automata. ICAC 2005: 111-122 - [c6]Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Kenji Yoshihira:
Failure detection and localization in component based systems by online tracking. KDD 2005: 750-755 - 2004
- [j1]Xiaojun Yao, Annick Panaye, Jean-Pierre Doucet, Ruisheng Zhang, Haifeng Chen, Mancang Liu, Zhide Hu, Bo Tao Fan:
Comparative Study of QSAR/QSPR Correlations Using Support Vector Machines, Radial Basis Function Neural Networks, and Multiple Linear Regression. J. Chem. Inf. Model. 44(4): 1257-1266 (2004) - [c5]Haifeng Chen, Ilan Shimshoni, Peter Meer:
Model Based Object Recognition by Robust Information Fusion. ICPR (3) 2004: 57-60 - 2003
- [c4]Haifeng Chen, Peter Meer:
Robust Fusion of Uncertain Information. CVPR Workshops 2003: 64 - [c3]Haifeng Chen, Peter Meer:
Robust Regression with Projection Based M-estimators. ICCV 2003: 878-885 - 2002
- [c2]Haifeng Chen, Peter Meer:
Robust Computer Vision through Kernel Density Estimation. ECCV (1) 2002: 236-250 - 2001
- [c1]Haifeng Chen, Peter Meer, David E. Tyler:
Robust Regression for Data with Multiple Structures. CVPR (1) 2001: I:1069-1075
Coauthor Index
[i88] [i83] [c175] [c165] [i79] [i70] [i67] [i65] [i64] [i59] [c155] [c152] [c150] [c146] [i58] [i51] [i49] [i46] [i45] [i33] [j40] [c142] [c138] [c137] [c134] [j37] [c132] [c129] [c128] [c125] [c121] [c117] [c116] [i27] [i26] [i25] [i24] [i23] [c107] [c104] [c102] [c97] [c94] [c90] [i16] [i15] [i14] [i12] [i10] [c83] [c80] [i7] [i5] [c72] [i3] [c64] [c55] [c54] [c53] [i1]
[c190] [i87] [i86] [i85] [i84] [i83] [i82] [j53] [c185] [c184] [c183] [c182] [c181] [c180] [c179] [c175] [c170] [c169] [c168] [c167] [c166] [i78] [i77] [i76] [i75] [i72] [i71] [i63] [i62] [i60] [c164] [c159] [c158] [c157] [c155] [c154] [c153] [c151] [c146] [i56] [i55] [i54] [i53] [i50] [i49] [i48] [i46] [i45] [i43] [i42] [i41] [i39] [i36] [i35] [i34] [i33] [c144] [c143] [c141] [c139] [c138] [c136] [i31] [i30] [i29] [c132] [c131] [c130] [c129] [c127] [c125] [c124] [c120] [c115] [c113] [c112] [c110] [i27] [i26] [i25] [i21] [i20] [i19] [i17] [c109] [c108] [c107] [c102] [c101] [c100] [c97] [c96] [c95] [c93] [c92] [c91] [i16] [i10] [i9] [i8] [c89] [c86] [c85] [c84] [c81] [i6] [c77] [c71] [c70] [c69] [c66] [i4] [j25] [c65] [c61] [c59] [c58] [i2] [c55]
[c78] [j25] [c59] [i2] [c55] [c54] [c53] [i1] [c49] [j21] [j20] [c47] [c45] [c44] [c43] [c42] [j19] [j17] [c39] [c38] [j15] [c37] [c34] [c33] [c32] [j14] [j13] [c30] [c29] [c28] [c26] [c25] [c24] [j12] [j11] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [j10] [j9] [j8] [j7] [c13] [j6] [j5] [c12] [c11] [c10] [c9] [c8] [c7] [c6]
[c189] [c188] [i83] [i82] [c186] [c185] [c183] [c170] [c169] [c167] [c166] [i77] [i75] [i72] [i64] [i62] [i60] [j45] [c164] [c163] [c158] [c155] [c154] [c152] [c151] [i54] [i53] [i52] [i51] [i49] [i48] [i46] [i45] [i43] [i41] [i40] [i36] [c144] [c136] [c132] [c129] [c118] [c115] [i27] [i26] [i19] [i18] [i17] [c109] [c107] [c102] [c101] [i16] [i11] [i10] [c74]
[i87] [i81] [i59] [c164] [c150] [c146] [i58] [i54] [c144] [c142] [c139] [c138] [c137] [i29] [c132] [c130] [c129] [c128] [c125] [c117] [c116] [c115] [c112] [c110] [i27] [i26] [i25] [i23] [i19] [i17] [c109] [c108] [c107] [c102] [c101] [c100] [c95] [i16] [i15] [i12] [i10] [i8] [c89] [c84] [c83] [c81] [c80] [i7] [i5] [c66] [i4] [i3] [j25] [c61]
Junghwan Rhee
aka: Junghwan John Rhee
aka: Junghwan John Rhee
Lu-An Tang
aka: Lu An Tang
aka: Lu An Tang
[c190] [c188] [i85] [i83] [i82] [i81] [j53] [c185] [c183] [c174] [c167] [c166] [i75] [i68] [i62] [c164] [c159] [c155] [c154] [c153] [c151] [i54] [i53] [i48] [i45] [i43] [i41] [c141] [c139] [i31] [i29] [c130] [c127] [c120] [c110] [i26] [c109] [c101] [c100] [c96] [c95] [c91] [i9] [i8] [c86] [c85] [c81] [i6] [c70] [c69] [c58]
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