Haifeng Chen

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 230

Top Venues

Publications

Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. WWW (2024)
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)
Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
Multi-modal Causal Structure Learning and Root Cause Analysis. CoRR (2024)
Wangyang Ying, Dongjie Wang, Haifeng Chen, Yanjie Fu
Feature Selection as Deep Sequential Generative Learning. CoRR (2024)
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 (2024)
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)
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)
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 (2024)
Xinyuan Wang, Dongjie Wang, Wangyang Ying, Rui Xie, Haifeng Chen, Yanjie Fu
Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent. CoRR (2024)
Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen
Pruning as a Domain-specific LLM Extractor. CoRR (2024)
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 (2024)
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 (2024)
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
Parametric Augmentation for Time Series Contrastive Learning. CoRR (2024)
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 (2024)
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)
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) (2024)
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)
Chen Zhao, Feng Chen, Xintao Wu, Jundong Li, Haifeng Chen
3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD (2024)
Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, Cong Liu
Distantly-Supervised Joint Extraction with Noise-Robust Learning. ACL (Findings) (2024)
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)
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 (2024)
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)
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 (2024)
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 (2024)
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
Parametric Augmentation for Time Series Contrastive Learning. ICLR (2024)
Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen
Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton. CoRR (2024)
Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data. ACL (2) (2023)
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)
Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, Cong Liu
Distantly-Supervised Joint Entity and Relation Extraction with Noise-Robust Learning. CoRR (2023)
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)
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)
Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen
Adaptation Speed Analysis for Fairness-aware Causal Models. CoRR (2023)
Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen
Incremental Causal Graph Learning for Online Unsupervised Root Cause Analysis. CoRR (2023)
Xianjun Yang, Wei Cheng, Xujiang Zhao, Linda R. Petzold, Haifeng Chen
Dynamic Prompting: A Unified Framework for Prompt Tuning. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
Xianjun Yang, Kexun Zhang, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
Zero-Shot Detection of Machine-Generated Codes. CoRR (2023)
Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen
2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making. KDD (2023)
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) (2023)
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 (2023)
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) (2023)
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 (2023)
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 (2023)
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)
Xianjun Yang, Yan Li, Xinlu Zhang, Haifeng Chen, Wei Cheng
Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization. CoRR (2023)
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) (2023)
Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data. CoRR (2023)
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) (2023)
Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen, Jiayu Zhou
2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD (2023)
Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation. CoRR (2023)
Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen
Incremental Causal Graph Learning for Online Root Cause Analysis. KDD (2023)
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)
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) (2023)
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 (2023)
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 (2023)
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 (2023)
Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen
Interdependent Causal Networks for Root Cause Localization. KDD (2023)
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 (2023)
Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao
Knowledge-enhanced Neural Machine Reasoning: A Review. CoRR (2023)
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)
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 (2023)
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)
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 (2023)
Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang
DyExplainer: Explainable Dynamic Graph Neural Networks. CoRR (2023)
Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye
A Survey of Heterogeneous Transfer Learning. CoRR (2023)
Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. KDD (2023)
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 (2023)
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 (2023)
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)
Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen
Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. CISS (2023)
Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen
Adaptation Speed Analysis for Fairness-aware Causal Models. CIKM (2023)
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 (2023)
Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen
Pursuing Counterfactual Fairness via Sequential Autoencoder Across Domains. CoRR (2023)
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)
Haifeng Chen, Chujia Guo, Yan Li, Peng Zhang, Dongmei Jiang
Semi-Supervised Multimodal Emotion Recognition with Class-Balanced Pseudo-labeling. ACM Multimedia (2023)
Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
Personalized Federated Learning under Mixture of Distributions. CoRR (2023)
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)
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)
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
DeepGAR: Deep Graph Learning for Analogical Reasoning. ICDM (2022)
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)
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)
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) (2022)
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)
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) (2022)
Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
SEED: Sound Event Early Detection via Evidential Uncertainty. CoRR (2022)
Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
Seed: Sound Event Early Detection Via Evidential Uncertainty. ICASSP (2022)
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. Big Data (2022)
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)
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 (2022)
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
DeepGAR: Deep Graph Learning for Analogical Reasoning. CoRR (2022)
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)
Tianchun Wan, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
Personalized Federated Learning via Heterogeneous Modular Networks. CoRR (2022)
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 (2022)
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)
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)
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)
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 (2022)
Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, Philip S. Yu
Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. Big Data (2022)
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 (2022)

Haifeng Chen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Haifeng Chen