Haifeng Chen

403 papers A* 91A 26B 10C 6Misc 7Journal 187Unranked 76
YearRankTypeTitle / Venue / Authors
2026 J jnl
32 × 32 β-Ga2O3 MOS solar-blind ultraviolet detector array and its properties.
Sci. China Inf. Sci.
Haifeng Chen, Chenlu Wu, Xuyang Liu, Chunling Chen, Huorong Wang, Qin Lu, Xiangtai Liu, Jinyu Ni, Zhan Wang, Shaoqing Wang
2026 J jnl
A research on the residual value of secondhand new energy vehicles based on CatBoost-BiLSTM model.
J. Big Data
Haifeng Chen, Haiyang Wang, Jianming Li, Tengjian Yang, Hui Wang, Fan Zhang
2026 J jnl
AlignMamba-2: Enhancing Multimodal Fusion and Sentiment Analysis with Modality-Aware Mamba.
CoRR
Yan Li, Yifei Xing, Xiangyuan Lan, Xin Li, Haifeng Chen, Dongmei Jiang
2026 J jnl
AlignMamba-2: Enhancing multimodal fusion and sentiment analysis with modality-aware Mamba.
Pattern Recognit.
Yan Li, Yifei Xing, Xiangyuan Lan, Xin Li, Haifeng Chen, Dongmei Jiang
2026 A* conf
Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage.
AAAI
Haoyue Bai, Guodong Chen, Wangyang Ying, Xinyuan Wang, Nanxu Gong, Sixun Dong, Giulia Pedrielli, Haoyu Wang, Haifeng Chen, Yanjie Fu
2026 — conf
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation.
EACL (Findings)
Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen
2026 — conf
DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router.
EACL (Findings)
Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng
2026 J jnl
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey.
ACM Comput. Surv.
Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao
2026 J jnl
FDA-CAPMA: Federated domain adaptation with co-activation pattern and multimodal mamba for fMRI depression detection.
Inf. Fusion
Lang He, Changwei Zhao, Yimeng Wang, Zhengwu Peng, Huaning Wang, Feng Zhu, Ercheng Pei, Haifeng Chen, Jiewei Jiang, Dongmei Jiang, Jie Zhang, Zhongmin Wang, Prayag Tiwari, Guangxin Guo, Min Fang
2026 J jnl
FedDAAM: Federated Domain Adversarial Learning With Attention Mechanism for Privacy Preserving Multimodal Depression Assessment.
IEEE Trans. Circuits Syst. Video Technol.
Lang He, Weizhao Yang, Junnan Zhao, Haifeng Chen, Dongmei Jiang
2026 J jnl
High-Performance Personalized Federated Continual Learning Framework for Dynamic Data Sharing in IoV.
IEEE Internet Things J.
Qi Fan, Zhaoxia Li, Haifeng Chen, Jinchun Liu, Yang Xin, Bin Jia, Jeng-Shyang Pan
2026 J jnl
Knockoff-Guided Feature Selection via a Single Pre-Trained Reinforced Agent.
IEEE Trans. Big Data
Xinyuan Wang, Dongjie Wang, Wangyang Ying, Rui Xie, Haifeng Chen, Yanjie Fu
2026 J jnl
LMVD: A large-scale multimodal vlog dataset for depression detection in the wild.
Inf. Fusion
Lang He, Kai Chen, Junnan Zhao, Yimeng Wang, Ercheng Pei, Haifeng Chen, Jiewei Jiang, Shiqing Zhang, Jie Zhang, Zhongmin Wang, Tao He, Prayag Tiwari
2026 A* conf
Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation.
WWW
Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Yanjie Fu, Haifeng Chen
2026 A* conf
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery.
AAAI
Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen, Yi He, Haifeng Chen, Chen Zhao
2026 J jnl
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery.
CoRR
Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen, Yi He, Haifeng Chen, Chen Zhao
2026 J jnl
Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models.
CoRR
Binchi Zhang, Xujiang Zhao, Jundong Li, Haifeng Chen, Zhengzhang Chen
2026 J jnl
Modeling speaker-specific long-term context for emotion recognition in conversation.
Inf. Fusion
Haifeng Chen, Jing Li, Yan Li, Jian Li, Lang He, Dongmei Jiang
2026 J jnl
Multi-Agent Coordinated Rename Refactoring.
CoRR
Abhiram Bellur, Mohammed Raihan Ullah, Fraol Batole, Mohit Kansara, Masaharu Morimoto, Kai Ishikawa, Haifeng Chen, Yaroslav Zharov, Timofey Bryksin, Tien N. Nguyen, Hridesh Rajan, Danny Dig
2026 — conf
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement.
EACL (Findings)
Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2026 J jnl
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement.
CoRR
Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2026 J jnl
Multi-modal prompt learning for facial expression recognition: Leveraging emojis and large language models.
Inf. Fusion
Ercheng Pei, He Zhao, Tingrui Zhang, Dongmei Jiang, Lang He, Haifeng Chen
2026 J jnl
RA3-FDA: Resource-adaptive federated domain adaptation with dual heterogeneity awareness for EEG-based depression detection.
Expert Syst. Appl.
Lang He, Yan Liu, Yimeng Wang, Siyang Song, Huaning Wang, Haifeng Chen, Jiewei Jiang, Dongmei Jiang, Jie Zhang, Prayag Tiwari, Guangxin Guo, Min Fang, Jiaqing Liu
2026 J jnl
Robust and Efficient Tool Orchestration via Layered Execution Structures with Reflective Correction.
CoRR
Tao Zhe, Haoyu Wang, Bo Luo, Min Wu, Wei Fan, Xiao Luo, Zijun Yao, Haifeng Chen, Dongjie Wang
2026 J jnl
Sim2Act: Robust Simulation-to-Decision Learning via Adversarial Calibration and Group-Relative Perturbation.
CoRR
Hongyu Cao, Jinghan Zhang, Kunpeng Liu, Dongjie Wang, Feng Xia, Haifeng Chen, Xiaohua Hu, Yanjie Fu
2026 J jnl
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning.
CoRR
Peng Xia, Jianwen Chen, Hanyang Wang, Jiaqi Liu, Kaide Zeng, Yu Wang, Siwei Han, Yiyang Zhou, Xujiang Zhao, Haifeng Chen, Zeyu Zheng, Cihang Xie, Huaxiu Yao
2026 J jnl
VisAULa: Advancing Facial Action Unit Recognition With Token-Level Alignment.
IEEE Access
Haomiao Wang, Haifeng Chen, Jian Li, Junchen He
2025 — conf
4th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM).
KDD (2)
Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Hua Wei, Haifeng Chen
2025 J jnl
A Novel Design Method for CML Frequency Divider Based on C/I
IEEE Trans. Circuits Syst. I Regul. Pap.
Leilei Xiao, Yubing Li, Haifeng Chen, Yujia Chen, Zemeng Huang, Peng Ke, Xiuping Li
2025 J jnl
A Novel hetero-metal gate-all-around TFET biosensors based on polarization effect.
Microelectron. J.
Jialin Liang, Zhen Dou, Yunhe Guan, Jiachen Lu, Weihan Sun, Shaoqing Wang, Qin Lu, Xiangtai Liu, Haifeng Chen, Feng Liang
2025 A* conf
AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment.
CVPR
Yan Li, Yifei Xing, Xiangyuan Lan, Xin Li, Haifeng Chen, Dongmei Jiang
2025 J jnl
An Augmented Reality-Based Smart Manufacturing Training System for Practice Experience.
Comput. Appl. Eng. Educ.
Naichang Dai, Haifeng Chen
2025 J jnl
Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback.
CoRR
Wangyang Ying, Haoyue Bai, Nanxu Gong, Xinyuan Wang, Sixun Dong, Haifeng Chen, Yanjie Fu
2025 J jnl
Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO
CoRR
Haoyue Bai, Guodong Chen, Wangyang Ying, Xinyuan Wang, Nanxu Gong, Sixun Dong, Giulia Pedrielli, Haoyu Wang, Haifeng Chen, Yanjie Fu
2025 A* conf
Chain-of-region: Visual Language Models Need Details for Diagram Analysis.
ICLR
Xue Li, Yiyou Sun, Wei Cheng, Yinglun Zhu, Haifeng Chen
2025 J jnl
Classifier ensemble based source-free domain adaptation for time series classification.
Knowl. Based Syst.
Ercheng Pei, Wangdong Zhao, Zhanxuan Hu, Lang He, Hailong Ning, Haifeng Chen
2025 A conf
Correlation-aware Online Change Point Detection.
CIKM
Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Jie Gao, Haifeng Chen
2025 J jnl
DISC: Dynamic Decomposition Improves LLM Inference Scaling.
CoRR
Jonathan Light, Wei Cheng, Yue Wu, Masafumi Oyamada, Mengdi Wang, Santiago Paternain, Haifeng Chen
2025 J jnl
DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router.
CoRR
Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng
2025 J jnl
Diversified Sampling Improves Scaling LLM inference.
CoRR
Tianchun Wang, Zichuan Liu, Yuanzhou Chen, Jonathan Light, Haifeng Chen, Xiang Zhang, Wei Cheng
2025 J jnl
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions.
ACM Trans. Knowl. Discov. Data
Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang
2025 A conf
Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs.
SDM
Ruomeng Ding, Xujiang Zhao, Chen Zhao, Minglai Shao, Zhengzhang Chen, Haifeng Chen
2025 A* conf
Evolutionary Large Language Model for Automated Feature Transformation.
AAAI
Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Haifeng Chen, Yanjie Fu
2025 J jnl
Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop.
CoRR
Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, Haifeng Chen
2025 — conf
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery.
ACL (Findings)
ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni
2025 A* conf
Harnessing Vision Models for Time Series Analysis: A Survey.
IJCAI
Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen
2025 J jnl
Harnessing Vision Models for Time Series Analysis: A Survey.
CoRR
Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen
2025 J jnl
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection.
CoRR
Cong Zeng, Shengkun Tang, Yuanzhou Chen, Zhiqiang Shen, Wenchao Yu, Xujiang Zhao, Haifeng Chen, Wei Cheng, Zhiqiang Xu
2025 A* conf
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors.
ICLR
Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng
2025 A* conf
Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model.
AAAI
Peng Yuan, Lu An Tang, Yanchi Liu, Yuji Kobayashi, Moto Sato, Haifeng Chen
2025 A* conf
Incorporating Interactive User Feedback Through Precision Matrix Adjustments for High-Dimensional Anomaly Detection.
ICDM
Taylor Dinkins, Weng-Keen Wong, Haifeng Chen, Yanchi Liu, Kai Ishikawa
2025 J jnl
LM
CoRR
Xu Zheng, Zhuomin Chen, Esteban Schafir, Sipeng Chen, Hojat Allah Salehi, Haifeng Chen, Farhad Shirani, Wei Cheng, Dongsheng Luo
2025 J jnl
Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation.
CoRR
Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Haifeng Chen, Yanjie Fu
2025 J jnl
Leveraging LLMs, IDEs, and Semantic Embeddings for Automated Move Method Refactoring.
CoRR
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
2025 — conf
MixLLM: Dynamic Routing in Mixed Large Language Models.
NAACL (Long Papers)
Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2025 J jnl
MixLLM: Dynamic Routing in Mixed Large Language Models.
CoRR
Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2025 J jnl
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting.
CoRR
ChengAo Shen, Wenchao Yu, Ziming Zhao, Dongjin Song, Wei Cheng, Haifeng Chen, Jingchao Ni
2025 — conf
Multi-modal Time Series Analysis: A Tutorial and Survey.
KDD (2)
Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song
2025 J jnl
Multi-modal Time Series Analysis: A Tutorial and Survey.
CoRR
Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song
2025 J jnl
Multi-objective optimization of automotive seat frames using machine learning.
Adv. Eng. Softw.
Haifeng Chen, Ping Yu, Jiangqi Long
2025 J jnl
Multimodal machine learning enables AI chatbot to diagnose ophthalmic diseases and provide high-quality medical responses.
npj Digit. Medicine
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
2025 B conf
Online Multi-Modal Root Cause Identification in Microservice Systems.
IEEE Big Data
Lecheng Zheng, Zhengzhang Chen, Haifeng Chen
2025 — conf
Position Really Matters: Towards a Holistic Approach for Prompt Tuning.
NAACL (Findings)
Xianjun Yang, Wei Cheng, Xujiang Zhao, Wenchao Yu, Linda Ruth Petzold, Haifeng Chen
2025 J jnl
Representation Interventions Enable Lifelong Unstructured Knowledge Control.
CoRR
Xuyuan Liu, Zhengzhang Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao, Shengyu Chen, Haoyu Wang, Yujun Yan, Haifeng Chen
2025 J jnl
Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating.
CoRR
Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, Jundong Li, Haifeng Chen
2025 A* conf
SFS: Smarter Code Space Search improves LLM Inference Scaling.
ICLR
Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng
2025 J jnl
SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search.
CoRR
Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen
2025 J jnl
Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning.
CoRR
Renliang Sun, Wei Cheng, Dawei Li, Haifeng Chen, Wei Wang
2025 J jnl
Supply Chain Optimization via Generative Simulation and Iterative Decision Policies.
CoRR
Haoyue Bai, Haoyu Wang, Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haifeng Chen, Yanjie Fu
2025 Misc conf
TSLA: A Multi-Task Time Series Language Model.
ICASSP
Liri Fang, Yuncong Chen, Wenchao Yu, Yanchi Liu, Lu-An Tang, Vetle I. Torvik, Haifeng Chen
2025 — conf
The 4th Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI).
KDD (2)
Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen
2025 A* conf
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents.
AAAI
Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen
2025 J jnl
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents.
CoRR
Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen
2025 A conf
Together We are Better: LLM, IDE and Semantic Embedding to Assist Move Method Refactoring.
ICSME
Abhiram Bellur, Fraol Batole, Mohammed Raihan Ullah, Malinda Dilhara, Yaroslav Zharov, Timofey Bryksin, Kai Ishikawa, Haifeng Chen, Masaharu Morimoto, Takeo Hosomi, Tien N. Nguyen, Hridesh Rajan, Nikolaos Tsantalis, Danny Dig
2025 — conf
Uncertainty Propagation on LLM Agent.
ACL (1)
Qiwei Zhao, Dong Li, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Chen Zhao, Haifeng Chen, Xujiang Zhao
2025 A* conf
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming.
IJCAI
Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haoyue Bai, Sixun Dong, Haifeng Chen, Yanjie Fu
2025 J jnl
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming.
CoRR
Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haoyue Bai, Sixun Dong, Haifeng Chen, Yanjie Fu
2025 A* conf
Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content.
CVPR
Haoyue Bai, Yiyou Sun, Wei Cheng, Haifeng Chen
2025 J jnl
Where's the liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content.
CoRR
Haoyue Bai, Yiyou Sun, Wei Cheng, Haifeng Chen
2025 A* conf
xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion.
ICDM
Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen
2025 J jnl
xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion.
CoRR
Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen
2025 J jnl
β-Ga2O3 solar-blind ultraviolet light detector with infinite PDCR.
Sci. China Inf. Sci.
Haifeng Chen, Xu Zhao, Xiangtai Liu, Qin Lu, Shaoqing Wang, Zhan Wang, Yifan Jia, Yunhe Guan, Lijun Li, Yue Hao
2024 A* conf
3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI).
KDD
Chen Zhao, Feng Chen, Xintao Wu, Jundong Li, Haifeng Chen
2024 A* conf
3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM).
KDD
Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Wei Hua, Haifeng Chen
2024 — conf
A Survey on Detection of LLMs-Generated Content.
EMNLP (Findings)
Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
2024 J jnl
A comparative study of work function variations in III-V heterojunction and homojunction tunnel field-effect transistors.
Microelectron. J.
Yunhe Guan, Jiachen Lu, Hao Zhang, Zhen Dou, Haifeng Chen, Feng Liang
2024 J jnl
AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment.
CoRR
Yan Li, Yifei Xing, Xiangyuan Lan, Xin Li, Haifeng Chen, Dongmei Jiang
2024 J jnl
Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton.
CoRR
Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen
2024 A* conf
DALD: Improving Logits-based Detector without Logits from Black-box LLMs.
NeurIPS
Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu
2024 A* conf
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton.
ICML
Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen
2024 A* conf
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text.
ICLR
Xianjun Yang, Wei Cheng, Yue Wu, Linda Ruth Petzold, William Yang Wang, Haifeng Chen
2024 J jnl
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation.
CoRR
Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen
2024 J jnl
Design and implementation of a vulnerability mining system for power internet of things terminal based on fuzzy mathematical model simulation platform.
Intell. Decis. Technol.
Haifeng Chen
2024 J jnl
Directional Spatial and Spectral Attention Network (DSSA Net) for EEG-based emotion recognition.
Frontiers Neurorobotics
Jiyao Liu, Lang He, Haifeng Chen, Dongmei Jiang
2024 — conf
Distantly-Supervised Joint Extraction with Noise-Robust Learning.
ACL (Findings)
Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, Cong Liu
2024 J jnl
Exploring Multi-Modal Integration with Tool-Augmented LLM Agents for Precise Causal Discovery.
CoRR
ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni
2024 J jnl
Exploring thermal effects of advanced backside power delivery network beyond 3 nm node.
Microelectron. J.
Haoyu Zhang, Linlin Cai, Haifeng Chen, Binyu Yin, Wangyong Chen
2024 J jnl
Facial Action Unit Representation Based on Self-Supervised Learning With Ensembled Priori Constraints.
IEEE Trans. Image Process.
Haifeng Chen, Peng Zhang, Chujia Guo, Ke Lu, Dongmei Jiang
2024 J jnl
Feature Selection as Deep Sequential Generative Learning.
CoRR
Wangyang Ying, Dongjie Wang, Haifeng Chen, Yanjie Fu
2024 J jnl
Feature Selection as Deep Sequential Generative Learning.
ACM Trans. Knowl. Discov. Data
Wangyang Ying, Dongjie Wang, Haifeng Chen, Yanjie Fu
2024 J jnl
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors.
CoRR
Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng
2024 J jnl
Improving Logits-based Detector without Logits from Black-box LLMs.
CoRR
Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu
2024 — conf
Improving Multimodal Emotion Recognition by Leveraging Acoustic Adaptation and Visual Alignment.
MRAC@MM
Zhixian Zhao, Haifeng Chen, Xi Li, Dongmei Jiang, Lei Xie
2024 J jnl
Improving Multimodal Emotion Recognition by Leveraging Acoustic Adaptation and Visual Alignment.
CoRR
Zhixian Zhao, Haifeng Chen, Xi Li, Dongmei Jiang, Lei Xie
2024 — conf
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.
EMNLP (Findings)
Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024 — conf
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.
VLDB Workshops
Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024 J jnl
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.
CoRR
Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024 A conf
Interpretable Imitation Learning with Dynamic Causal Relations.
WSDM
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2024 J jnl
Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent.
CoRR
Xinyuan Wang, Dongjie Wang, Wangyang Ying, Rui Xie, Haifeng Chen, Yanjie Fu
2024 J jnl
LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis.
CoRR
Lecheng Zheng, Zhengzhang Chen, Dongjie Wang, Chengyuan Deng, Reon Matsuoka, Haifeng Chen
2024 J jnl
LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild.
CoRR
Lang He, Kai Chen, Junnan Zhao, Yimeng Wang, Ercheng Pei, Haifeng Chen, Jiewei Jiang, Shiqing Zhang, Jie Zhang, Zhongmin Wang, Tao He, Prayag Tiwari
2024 A* conf
Large Language Models Can Be Contextual Privacy Protection Learners.
EMNLP
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
2024 A* conf
MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems.
WWW
Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
2024 J jnl
Multi-modal Causal Structure Learning and Root Cause Analysis.
CoRR
Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
2024 J jnl
Online Multi-modal Root Cause Analysis.
CoRR
Lecheng Zheng, Zhengzhang Chen, Haifeng Chen, Jingrui He
2024 A* conf
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.
KDD
Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
2024 J jnl
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.
CoRR
Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
2024 A* conf
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning.
KDD
Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
2024 A* conf
Parametric Augmentation for Time Series Contrastive Learning.
ICLR
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
2024 J jnl
Parametric Augmentation for Time Series Contrastive Learning.
CoRR
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
2024 — conf
Pruning as a Domain-specific LLM Extractor.
NAACL-HLT (Findings)
Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen
2024 J jnl
Pruning as a Domain-specific LLM Extractor.
CoRR
Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen
2024 J jnl
RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point Detection.
CoRR
Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Haifeng Chen, Jie Gao
2024 A* conf
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows.
IJCAI
Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu
2024 J jnl
SAUP: Situation Awareness Uncertainty Propagation on LLM Agent.
CoRR
Qiwei Zhao, Xujiang Zhao, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Haifeng Chen
2024 J jnl
Scattered Forest Search: Smarter Code Space Exploration with LLMs.
CoRR
Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng
2024 — conf
The WizARd and Apprentice: An Augmented Reality Expert Capture System.
ISMAR-Adjunct
Ada Yi Zhao, Suibi Che-Chuan Weng, Ella Grace Finstuen, Haifeng Chen, Lu-An Tang, Kai Ishikawa, Ellen Yi-Luen Do
2024 A* conf
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments.
IJCAI
Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen
2024 J jnl
Towards Inductive and Efficient Explanations for Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, Xiang Zhang
2024 A* conf
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.
ICLR
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
2024 J jnl
Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models.
CoRR
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
2024 — conf
Uncertainty Quantification for In-Context Learning of Large Language Models.
NAACL-HLT
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
2023 A* conf
2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI).
KDD
Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen, Jiayu Zhou
2023 A* conf
2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making.
KDD
Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen
2023 J jnl
A Novel Staggered Double-Segmented Grating Slow-Wave Structure for 340 GHz Traveling-Wave Tube.
Sensors
Zechuan Wang, Junwan Zhu, Zhigang Lu, Jingrui Duan, Haifeng Chen, Shaomeng Wang, Zhanliang Wang, Huarong Gong, Yubin Gong
2023 J jnl
A Survey of Heterogeneous Transfer Learning.
CoRR
Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye
2023 J jnl
A Survey on Detection of LLMs-Generated Content.
CoRR
Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
2023 A conf
Adaptation Speed Analysis for Fairness-aware Causal Models.
CIKM
Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen
2023 J jnl
Adaptation Speed Analysis for Fairness-aware Causal Models.
CoRR
Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen
2023 J jnl
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR
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
2023 A conf
Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning.
CIKM
Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li
2023 J jnl
Correction to "Multicomponent Seismic Data Reconstruction via a Biquaternion-Based Vector POCS Method".
IEEE Trans. Geosci. Remote. Sens.
Fan Li, Jianjun Gao, Mauricio D. Sacchi, Jun Lu, Yun Wang, Haifeng Chen, Chaolin Li
2023 J jnl
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text.
CoRR
Xianjun Yang, Wei Cheng, Linda R. Petzold, William Yang Wang, Haifeng Chen
2023 J jnl
Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis.
CoRR
Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen
2023 J jnl
Distantly-Supervised Joint Entity and Relation Extraction with Noise-Robust Learning.
CoRR
Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, Cong Liu
2023 J jnl
DyExplainer: Explainable Dynamic Graph Neural Networks.
CoRR
Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang
2023 J jnl
Dynamic DAG Discovery for Interpretable Imitation Learning.
CoRR
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023 J jnl
Dynamic Prompting: A Unified Framework for Prompt Tuning.
CoRR
Xianjun Yang, Wei Cheng, Xujiang Zhao, Linda R. Petzold, Haifeng Chen
2023 — conf
Enhancing Temperature Immunity of Digital Circuit Against Aging : The Standard Cell Subset Method.
ASICON
Mingyue Zheng, Wangyong Chen, Yaoyang Lyu, Haifeng Chen, Jiahui Chen, Linlin Cai
2023 J jnl
Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization.
CoRR
Xianjun Yang, Yan Li, Xinlu Zhang, Haifeng Chen, Wei Cheng
2023 A* conf
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation.
KDD
Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen
2023 — conf
GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection.
ICKG
Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu
2023 J jnl
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection.
CoRR
Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu
2023 A* conf
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning.
NeurIPS
Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu
2023 J jnl
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization.
CoRR
Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen
2023 J jnl
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty.
CoRR
Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023 A* conf
Incremental Causal Graph Learning for Online Root Cause Analysis.
KDD
Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen
2023 A* conf
Interdependent Causal Networks for Root Cause Localization.
KDD
Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen
2023 Misc conf
Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation.
CISS
Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen
2023 J jnl
Knowledge-enhanced Neural Machine Reasoning: A Review.
CoRR
Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao
2023 J jnl
Large Language Models Can Be Good Privacy Protection Learners.
CoRR
Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, Wei Wang, Wei Cheng
2023 J jnl
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.
CoRR
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
2023 J jnl
Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning.
IEEE Trans. Knowl. Data Eng.
Denghui Zhang, Yanchi Liu, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong
2023 Misc conf
Multi-Label Temporal Evidential Neural Networks for Early Event Detection.
ICASSP
Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen
2023 J jnl
Multi-Modal and Multi-Scale Fusion 3D Object Detection of 4D Radar and LiDAR for Autonomous Driving.
IEEE Trans. Veh. Technol.
Li Wang, Xinyu Zhang, Jun Li, Baowei Xv, Rong Fu, Haifeng Chen, Lei Yang, Dafeng Jin, Lijun Zhao
2023 J jnl
Multicomponent Seismic Data Reconstruction via a Biquaternion-Based Vector POCS Method.
IEEE Trans. Geosci. Remote. Sens.
Fan Li, Jianjun Gao, Mauricio D. Sacchi, Jun Lu, Yun Wang, Haifeng Chen, Chaolin Li
2023 — conf
Open-ended Commonsense Reasoning with Unrestricted Answer Candidates.
EMNLP (Findings)
Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023 J jnl
Open-ended Commonsense Reasoning with Unrestricted Answer Scope.
CoRR
Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023 A* conf
Personalized Federated Learning under Mixture of Distributions.
ICML
Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
2023 J jnl
Personalized Federated Learning under Mixture of Distributions.
CoRR
Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
2023 J jnl
Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation.
CoRR
Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
2023 J jnl
Pursuing Counterfactual Fairness via Sequential Autoencoder Across Domains.
CoRR
Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen
2023 J jnl
Quantitative T2 mapping monitoring the maturation of engineered elastic cartilage in a rabbit model.
BMC Medical Imaging
Guojun Yang, Xue Li, Weiwei Zhang, Nier Wu, Haifeng Chen, Xia Liu, Haiyue Jiang
2023 J jnl
Region Attentive Action Unit Intensity Estimation With Uncertainty Weighted Multi-Task Learning.
IEEE Trans. Affect. Comput.
Haifeng Chen, Dongmei Jiang, Yong Zhao, Xiaoyong Wei, Ke Lu, Hichem Sahli
2023 A* conf
Semi-Supervised Multimodal Emotion Recognition with Class-Balanced Pseudo-labeling.
ACM Multimedia
Haifeng Chen, Chujia Guo, Yan Li, Peng Zhang, Dongmei Jiang
2023 A* conf
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations.
KDD
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023 J jnl
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations.
CoRR
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023 — conf
Temporal Graph Based Incident Analysis System for Internet of Things.
ECML/PKDD (7)
Peng Yuan, Lu-An Tang, Haifeng Chen, David S. Chang, Moto Sato, Kevin Woodward
2023 A* conf
Time Series Contrastive Learning with Information-Aware Augmentations.
AAAI
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023 J jnl
Time Series Contrastive Learning with Information-Aware Augmentations.
CoRR
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023 J jnl
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.
CoRR
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
2023 — conf
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data.
ACL (2)
Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu
2023 J jnl
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data.
CoRR
Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu
2023 C conf
Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning.
FUSION
Masanao Natsumeda, Takehiko Mizoguchi, Wei Cheng, Yuncong Chen, Haifeng Chen
2023 J jnl
Zero-Shot Detection of Machine-Generated Codes.
CoRR
Xianjun Yang, Kexun Zhang, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
2022 J jnl
3D Histogram Based Anomaly Detection for Categorical Sensor Data in Internet of Things.
Open J. Internet Things
Peng Yuan, Lu-An Tang, Haifeng Chen, Moto Sato, Kevin Woodward
2022 J jnl
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2022 A* conf
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences.
KDD
Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong
2022 B conf
Deep Federated Anomaly Detection for Multivariate Time Series Data.
IEEE Big Data
Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo
2022 J jnl
Deep Federated Anomaly Detection for Multivariate Time Series Data.
CoRR
Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo
2022 A* conf
DeepGAR: Deep Graph Learning for Analogical Reasoning.
ICDM
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
2022 J jnl
DeepGAR: Deep Graph Learning for Analogical Reasoning.
CoRR
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
2022 J jnl
Detection and Identification Method of Drilling Total Hydrocarbon Gas Based on Infrared Spectroscopy and KL+BP-RBF Algorithm.
IEEE Trans. Instrum. Meas.
Haibo Liang, Haifeng Chen, Jinhong Guo, Xing Zuo
2022 — conf
Explainable Anomaly Detection System for Categorical Sensor Data in Internet of Things.
ECML/PKDD (6)
Peng Yuan, Lu-An Tang, Haifeng Chen, Moto Sato, Kevin Woodward
2022 — conf
Multi-source Inductive Knowledge Graph Transfer.
ECML/PKDD (2)
Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichuan Li, Wei Wang
2022 J jnl
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series.
CoRR
Jurijs Nazarovs, Cristian Lumezanu, Qianying Ren, Yuncong Chen, Takehiko Mizoguchi, Dongjin Song, Haifeng Chen
2022 A* conf
Personalized Federated Learning via Heterogeneous Modular Networks.
ICDM
Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
2022 J jnl
Personalized Federated Learning via Heterogeneous Modular Networks.
CoRR
Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
2022 J jnl
Research on lithology identification method based on mechanical specific energy principle and machine learning theory.
Expert Syst. Appl.
Haibo Liang, Haifeng Chen, Jinhong Guo, Jing Bai, Yingjun Jiang
2022 J jnl
SEED: Sound Event Early Detection via Evidential Uncertainty.
CoRR
Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
2022 Misc conf
Seed: Sound Event Early Detection Via Evidential Uncertainty.
ICASSP
Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
2022 A* conf
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings.
ICLR
Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen
2022 A* conf
Towards Learning Disentangled Representations for Time Series.
KDD
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
2022 B conf
Towards Robust Graph Neural Networks via Adversarial Contrastive Learning.
IEEE Big Data
Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, Philip S. Yu
2022 A* conf
Uncertainty-Aware Semi-Supervised Learning of 3D Face Rigging from Single Image.
ACM Multimedia
Yong Zhao, Haifeng Chen, Hichem Sahli, Ke Lu, Dongmei Jiang
2022 A* conf
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph.
AAAI
Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
2021 J jnl
A Pruning Optimized Fast Learn++NSE Algorithm.
IEEE Access
Yong Chen, Yuquan Zhu, Haifeng Chen, Yan Shen, Zhao Xu
2021 J jnl
An Approximate Inference Scheme Based on Distance-Induced Relations: Weld Forming Prediction.
IEEE Access
Ziquan Jiao, Zhiqiang Feng, Shanben Chen, Haifeng Chen, Jianxing Yu
2021 J jnl
Anomalous Event Sequence Detection.
IEEE Intell. Syst.
Boxiang Dong, Zhengzhang Chen, Lu-An Tang, Haifeng Chen, Hui Wang, Kai Zhang, Ying Lin, Zhichun Li
2021 A* conf
Aspect-based Sentiment Classification via Reinforcement Learning.
ICDM
Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu
2021 A* conf
AutoOD: Neural Architecture Search for Outlier Detection.
ICDE
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2021 — conf
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation.
EMNLP (1)
Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi
2021 J jnl
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation.
CoRR
Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi
2021 A* conf
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection.
ACM Multimedia
Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen
2021 J jnl
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection.
CoRR
Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen
2021 A conf
Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection.
SDM
Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang
2021 C conf
Delay-Limited Performance Analysis of NOMA-enabled Satellite Internet of Things.
ICCC
Xiaojuan Yan, Kang An, Dan Li, Hongxia Xi, Yuli Wang, Xin Li, Haifeng Chen
2021 — conf
Direct-write 3D printed self-supporting flexible microstructure devices.
NEMS
Cuiwen Hu, Haifeng Chen, Deyun Mo, Haishan Lian, Yinhuan Yang, Xiaojun Chen
2021 J jnl
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?
CoRR
Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao
2021 A* conf
Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment.
KDD
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
2021 J jnl
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment.
CoRR
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
2021 A* conf
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.
AAAI
Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021 J jnl
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.
CoRR
Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021 J jnl
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems.
CoRR
Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
2021 A* conf
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems.
CVPR
Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
2021 J jnl
Inductive Contextual Relation Learning for Personalization.
ACM Trans. Inf. Syst.
Chuxu Zhang, Huaxiu Yao, Lu Yu, Chao Huang, Dongjin Song, Haifeng Chen, Meng Jiang, Nitesh V. Chawla
2021 A* conf
InfoGCL: Information-Aware Graph Contrastive Learning.
NeurIPS
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
2021 J jnl
InfoGCL: Information-Aware Graph Contrastive Learning.
CoRR
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
2021 A conf
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization.
CIKM
Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen
2021 J jnl
Learning Disentangled Representations for Time Series.
CoRR
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu
2021 A conf
Learning to Drop: Robust Graph Neural Network via Topological Denoising.
WSDM
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
2021 A* conf
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection.
KDD
Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
2021 A* conf
Multi-Task Recurrent Modular Networks.
AAAI
Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang
2021 — conf
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction.
EMNLP (Findings)
Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang
2021 J jnl
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction.
CoRR
Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang
2021 A* conf
SIGL: Securing Software Installations Through Deep Graph Learning.
USENIX Security Symposium
Xueyuan Han, Xiao Yu, Thomas F. J.-M. Pasquier, Ding Li, Junghwan Rhee, James W. Mickens, Margo I. Seltzer, Haifeng Chen
2021 A conf
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs.
CIKM
Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen
2021 J jnl
Technical research on realizing remote intelligent diagnosis of petroleum drilling loss circulation under smart city strategy.
Future Gener. Comput. Syst.
Haibo Liang, Haifeng Chen, Jialing Zou, Jing Bai
2021 — conf
Temporal Attentive Adversarial Domain Adaption for Cross Cultural Affect Recognition.
ICMI Companion
Haifeng Chen, Yifan Deng, Dongmei Jiang
2021 J jnl
Transformer Encoder With Multi-Modal Multi-Head Attention for Continuous Affect Recognition.
IEEE Trans. Multim.
Haifeng Chen, Dongmei Jiang, Hichem Sahli
2021 A* conf
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling.
AAAI
Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang
2021 — conf
UTrack: Enterprise User Tracking Based on OS-Level Audit Logs.
CODASPY
Yue Li, Zhenyu Wu, Haining Wang, Kun Sun, Zhichun Li, Kangkook Jee, Junghwan Rhee, Haifeng Chen
2021 — conf
Unsupervised Concept Representation Learning for Length-Varying Text Similarity.
NAACL-HLT
Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen
2021 J jnl
Unsupervised Document Embedding via Contrastive Augmentation.
CoRR
Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang
2021 A conf
You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation.
CIKM
Zeyu Li, Wei Cheng, Haiqi Xiao, Wenchao Yu, Haifeng Chen, Wei Wang
2021 J jnl
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph.
CoRR
Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
2020 A* conf
A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement.
WWW
Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu
2020 A* conf
APTrace: A Responsive System for Agile Enterprise Level Causality Analysis.
ICDE
Jiaping Gui, Ding Li, Zhengzhang Chen, Junghwan Rhee, Xusheng Xiao, Mu Zhang, Kangkook Jee, Zhichun Li, Haifeng Chen
2020 A* conf
Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱.
WWW
Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha
2020 — conf
Anomaly Detection on Web-User Behaviors Through Deep Learning.
SecureComm (1)
Jiaping Gui, Zhengzhang Chen, Xiao Yu, Cristian Lumezanu, Haifeng Chen
2020 A* conf
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation.
AAAI
Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
2020 J jnl
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation.
CoRR
Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
2020 B conf
At the Speed of Sound: Efficient Audio Scene Classification.
ICMR
Bo Dong, Cristian Lumezanu, Yuncong Chen, Dongjin Song, Takehiko Mizoguchi, Haifeng Chen, Latifur Khan
2020 J jnl
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning.
CoRR
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2020 A* conf
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval.
AAAI
Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen
2020 J jnl
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce.
CoRR
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong
2020 J jnl
Green Product Supply Chain Coordination Under Demand Uncertainty.
IEEE Access
Chong Xin, Xin Chen, Haifeng Chen, Shuangrui Chen, Meiqi Zhang
2020 J jnl
Identification of population-level differentially expressed genes in one-phenotype data.
Bioinform.
Jiajing Xie, Yang Xu, Haifeng Chen, Meirong Chi, Jun He, Meifeng Li, Hui Liu, Jie Xia, Qingzhou Guan, Zheng Guo, Haidan Yan
2020 A* conf
Inductive and Unsupervised Representation Learning on Graph Structured Objects.
ICLR
Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu
2020 J jnl
Integrated Strapdown Missile Guidance and Control With Field-of-View Constraint and Actuator Saturation.
IEEE Access
Jiayi Tian, Haifeng Chen, Xuancen Liu, Huabo Yang, Shifeng Zhang
2020 A conf
Interpretable Click-Through Rate Prediction through Hierarchical Attention.
WSDM
Zeyu Li, Wei Cheng, Yang Chen, Haifeng Chen, Wei Wang
2020 J jnl
Learning to Drop: Robust Graph Neural Network via Topological Denoising.
CoRR
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
2020 A conf
Mining Multivariate Discrete Event Sequences for Knowledge Discovery and Anomaly Detection.
DSN
Bin Nie, Jianwu Xu, Jacob Alter, Haifeng Chen, Evgenia Smirni
2020 J jnl
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection.
CoRR
Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
2020 — conf
Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution.
ECML/PKDD (3)
Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
2020 A* conf
Parameterized Explainer for Graph Neural Network.
NeurIPS
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
2020 J jnl
Parameterized Explainer for Graph Neural Network.
CoRR
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
2020 A* conf
Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection.
ICDE
Peng Gao, Xusheng Xiao, Ding Li, Kangkook Jee, Haifeng Chen, Sanjeev R. Kulkarni, Prateek Mittal
2020 — conf
RULENet: End-to-end Learning with the Dual-estimator for Remaining Useful Life Estimation.
ICPHM
Masanao Natsumeda, Haifeng Chen
2020 A* conf
Robust Graph Representation Learning via Neural Sparsification.
ICML
Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
2020 J jnl
SIGL: Securing Software Installations Through Deep Graph Learning.
CoRR
Xueyuan Han, Xiao Yu, Thomas F. J.-M. Pasquier, Ding Li, Junghwan Rhee, James Mickens, Margo I. Seltzer, Haifeng Chen
2020 J jnl
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs.
CoRR
Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen
2020 A* conf
T
ICDM
Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
2020 J jnl
T
CoRR
Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
2020 A conf
Temporal Context-Aware Representation Learning for Question Routing.
WSDM
Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen
2020 A* conf
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series.
AAAI
Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang
2020 — conf
Vessels: efficient and scalable deep learning prediction on trusted processors.
SoCC
Kyungtae Kim, Chung Hwan Kim, Junghwan John Rhee, Xiao Yu, Haifeng Chen, Dave (Jing) Tian, Byoungyoung Lee
2020 A* conf
You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis.
NDSS
Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen
2019 A* conf
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.
AAAI
Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
2019 A* conf
Adaptive Neural Network for Node Classification in Dynamic Networks.
ICDM
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang
2019 J jnl
Adversarial Defense Framework for Graph Neural Network.
CoRR
Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu
2019 A conf
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification.
SDM
Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu
2019 — conf
Audio Visual Multimodal Classification of Bipolar Disorder Episodes.
ACII Workshops
Yan Li, Le Yang, Haifeng Chen, Dongmei Jiang, Hichem Sahli
2019 — conf
Clairvoyant Networks.
TMA
Cheng Jin, Cristian Lumezanu, Zhi-Li Zhang, Haifeng Chen
2019 A conf
Deep Co-Clustering.
SDM
Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2019 J jnl
EKF Based Fuzzy PI Controlled Speed Sensorless Power Optimal Control of a Direct Drive Power System.
IEEE Access
Junhua Yang, Baozhou Huang, Hui Shen, Dongshen Xie, Fengjun Xiong, Siling Lu, Haifeng Chen
2019 — conf
Efficient Spatial Temporal Convolutional Features for Audiovisual Continuous Affect Recognition.
AVEC@MM
Haifeng Chen, Yifan Deng, Shiwen Cheng, Yixuan Wang, Dongmei Jiang, Hichem Sahli
2019 J jnl
GaitGANv2: Invariant gait feature extraction using generative adversarial networks.
Pattern Recognit.
Shiqi Yu, Rijun Liao, Weizhi An, Haifeng Chen, Edel B. García Reyes, Yongzhen Huang, Norman Poh
2019 A* conf
Heterogeneous Graph Matching Networks for Unknown Malware Detection.
IJCAI
Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
2019 J jnl
Heterogeneous Graph Matching Networks.
CoRR
Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
2019 A* conf
Learning Robust Representations with Graph Denoising Policy Network.
ICDM
Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
2019 J jnl
Learning Robust Representations with Graph Denoising Policy Network.
CoRR
Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
2019 A conf
Progressive processing of system-behavioral query.
ACSAC
Jiaping Gui, Xusheng Xiao, Ding Li, Chung Hwan Kim, Haifeng Chen
2019 A* conf
Self-Attentive Attributed Network Embedding Through Adversarial Learning.
ICDM
Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang
2018 J jnl
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.
CoRR
Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
2018 — conf
Application of Improved Kalman Filter in High Precision Electronic Scales.
ICSAI
Yanming Wang, Haifeng Chen
2018 — conf
Bipolar Disorder Recognition with Histogram Features of Arousal and Body Gestures.
AVEC@MM
Le Yang, Yan Li, Haifeng Chen, Dongmei Jiang, Meshia Cédric Oveneke, Hichem Sahli
2018 A* conf
Co-Regularized Deep Multi-Network Embedding.
WWW
Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang
2018 — conf
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection.
ICLR (Poster)
Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Dae-ki Cho, Haifeng Chen
2018 — conf
Deep Learning IP Network Representations.
Big-DAMA@SIGCOMM
Mingda Li, Cristian Lumezanu, Bo Zong, Haifeng Chen
2018 J jnl
Deep Program Reidentification: A Graph Neural Network Solution.
CoRR
Shen Wang, Zhengzhang Chen, Ding Li, Lu-An Tang, Jingchao Ni, Zhichun Li, Junghwan Rhee, Haifeng Chen, Philip S. Yu
2018 A* conf
Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval.
KDD
Dongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao
2018 A* conf
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics.
IJCAI
Yanchi Liu, Tan Yan, Haifeng Chen
2018 — conf
Image Restoration Method for Non-uniform Blurred Images.
IST
Tomio Goto, Hiroki Senshiki, Masanao Sawada, Haifeng Chen, Reo Aoki
2018 A* conf
Learning Deep Network Representations with Adversarially Regularized Autoencoders.
KDD
Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang
2018 J jnl
Learning IP network representations.
Comput. Commun. Rev.
Mingda Li, Bo Zong, Cristian Lumezanu, Haifeng Chen
2018 A* conf
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks.
KDD
Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang
2018 — conf
Piecewise Linear Interpolation Algorithm in the High Precision Electronic System.
ICSAI
Hui Nie, Haifeng Chen
2018 A conf
TGNet: Learning to Rank Nodes in Temporal Graphs.
CIKM
Qi Song, Bo Zong, Yinghui Wu, Lu-An Tang, Hui Zhang, Guofei Jiang, Haifeng Chen
2018 A* conf
TINET: Learning Invariant Networks via Knowledge Transfer.
KDD
Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li, Haifeng Chen, Jieping Ye
2017 A* conf
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction.
IJCAI
Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell
2017 J jnl
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction.
CoRR
Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell
2017 B conf
Blind image restoration utilizing total variation regularization, shock filter and gradient reliability map.
ICIP
Tomio Goto, Hiroki Senshiki, Satoshi Motohashi, Haifeng Chen, Reo Aoki
2017 A conf
Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems.
CIKM
Boxiang Dong, Zhengzhang Chen, Wendy Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Zhichun Li, Haifeng Chen
2017 — conf
GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks.
CVPR Workshops
Shiqi Yu, Haifeng Chen, Edel B. García Reyes, Norman Poh
2017 — conf
Identifying and quantifying nonlinear structured relationships in complex manufactural systems.
IEEE BigData
Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, Jinbo Bi
2017 J jnl
Invariant feature extraction for gait recognition using only one uniform model.
Neurocomputing
Shiqi Yu, Haifeng Chen, Qing Wang, Linlin Shen, Yongzhen Huang
2017 A* conf
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks.
IJCAI
Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang
2017 C conf
PSF estimation using total variation regularization and shock filter for blind deconvolution.
ICCE
Hiroki Senshiki, Satoshi Motohashi, Tomio Goto, Haifeng Chen, Reo Aoki
2017 A* conf
Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems.
ICDM
Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang
2017 J jnl
Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations.
ACM Trans. Knowl. Discov. Data
Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang
2016 J jnl
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.
Xinya Han, Xiuyun Zhu, Shuaihua Zhu, Lin Wei, Zongqin Hong, Li Guo, Haifeng Chen, Bo Chi, Yan Liu, Lingling Feng, Yanliang Ren, Jian Wan
2016 A* conf
Annealed Sparsity via Adaptive and Dynamic Shrinking.
KDD
Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye
2016 — conf
Artificial fish swarm algorithm in industrial process alarm threshold optimization.
ISCIT
Haifeng Chen, Xuebin Sun, Dianjun Chen
2016 J jnl
GID: Graph-based Intrusion Detection on Massive Process Traces for Enterprise Security Systems.
CoRR
Boxiang Dong, Zhengzhang Chen, Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Haifeng Chen, Guofei Jiang
2016 A conf
Integrating Community and Role Detection in Information Networks.
SDM
Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Guofei Jiang
2016 A* conf
Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations.
KDD
Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang
2016 B conf
Robust Online Time Series Prediction with Recurrent Neural Networks.
DSAA
Tian Guo, Zhao Xu, Xin Yao, Haifeng Chen, Karl Aberer, Koichi Funaya
2016 J jnl
WALT: fast and accurate read mapping for bisulfite sequencing.
Bioinform.
Haifeng Chen, Andrew D. Smith, Ting Chen
2015 A conf
A Quality Control Engine for Complex Physical Systems.
DSN
Haifeng Chen, Takehiko Mizoguchi, Yan Tan, Kai Zhang, Geoff Jiang
2015 A* conf
Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems.
KDD
Liudmila Ulanova, Tan Yan, Haifeng Chen, Guofei Jiang, Eamonn J. Keogh, Kai Zhang
2015 — conf
Optical Characteristics of Antireflection of SiN Layer on the Si Substrate.
ITITS (1)
Haifeng Chen, Duan Xie
2015 J jnl
Salient object detection based on meanshift filtering and fusion of colour information.
IET Image Process.
Jian Li, Haifeng Chen, Gang Li, Bin He, Yujie Zhang, Xiaojiao Tao
2015 — conf
Semi-supervised Multivariate Sequential Pattern Mining.
NFMCP
Zhao Xu, Koichi Funaya, Haifeng Chen, Sergio Leoni
2015 A* conf
Time Series Segmentation to Discover Behavior Switching in Complex Physical Systems.
ICDM
Zheng Han, Haifeng Chen, Tan Yan, Geoff Jiang
2014 — conf
Extracting discriminative shapelets from heterogeneous sensor data.
IEEE BigData
Om Prasad Patri, Abhishek B. Sharma, Haifeng Chen, Guofei Jiang, Anand V. Panangadan, Viktor K. Prasanna
2014 J jnl
Modeling and analytics for cyber-physical systems in the age of big data.
SIGMETRICS Perform. Evaluation Rev.
Abhishek B. Sharma, Franjo Ivancic, Alexandru Niculescu-Mizil, Haifeng Chen, Guofei Jiang
2014 C conf
Multi-agent Based Clinical Knowledge Representation with Its Dynamic Parse and Execution.
HIS
Yumin Hu, Liang Xiao, Xing Liu, Jianzhou Liu, Zhenzhen Yan, Qiuju Wei, Haifeng Chen
2014 J jnl
Proactive Workload Management in Hybrid Cloud Computing.
IEEE Trans. Netw. Serv. Manag.
Hui Zhang, Guofei Jiang, Kenji Yoshihira, Haifeng Chen
2013 — conf
A Data Analytic Engine Towards Self-Management of Cyber-Physical Systems.
ICDCS Workshops
Min Ding, Haifeng Chen, Abhishek B. Sharma, Kenji Yoshihira, Guofei Jiang
2013 A conf
Fault detection and localization in distributed systems using invariant relationships.
DSN
Abhishek B. Sharma, Haifeng Chen, Min Ding, Kenji Yoshihira, Guofei Jiang
2013 — conf
Modeling heterogeneous time series dynamics to profile big sensor data in complex physical systems.
IEEE BigData
Bin Liu, Haifeng Chen, Abhishek B. Sharma, Guofei Jiang, Hui Xiong
2013 B conf
Network-aware coordination of virtual machine migrations in enterprise data centers and clouds.
IM
Haifeng Chen, Hui Kang, Guofei Jiang, Yueping Zhang
2012 — conf
Research on Localization of Apples Based on Binocular Stereo Vision Marked by Cancroids Matching.
ICDMA
Jian Li, Shujuan Cui, Chengyan Zhang, Haifeng Chen
2011 B conf
A wireless EEG monitor system based on BSN node.
CBMS
Yeongjoon Gil, Gang Li, Haifeng Chen, Jungtae Lee
2011 J jnl
ASD: a comprehensive database of allosteric proteins and modulators.
Nucleic Acids Res.
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
2011 C conf
Application Behavior Mapping across Heterogeneous Hardware Platforms.
DASC
Haifeng Chen, Hui Kang, Guofei Jiang, Kenji Yoshihira
2011 J jnl
Experience Transfer for the Configuration Tuning in Large-Scale Computing Systems.
IEEE Trans. Knowl. Data Eng.
Haifeng Chen, Wenxuan Zhang, Guofei Jiang
2011 J jnl
Ranking the importance of alerts for problem determination in large computer systems.
Clust. Comput.
Guofei Jiang, Haifeng Chen, Kenji Yoshihira, Akhilesh Saxena
2011 — conf
Untangling mixed information to calibrate resource utilization in virtual machines.
ICAC
Lei Lu, Hui Zhang, Guofei Jiang, Haifeng Chen, Kenji Yoshihira, Evgenia Smirni
2010 B conf
A Cooperative Sampling Approach to Discovering Optimal Configurations in Large Scale Computing Systems.
SRDS
Haifeng Chen, Guofei Jiang, Hui Zhang, Kenji Yoshihira
2010 J jnl
A WBAN-based Real-time Electroencephalogram Monitoring System: Design and Implementation.
J. Medical Syst.
Haifeng Chen, Wanqing Wu, Jungtae Lee
2010 — conf
A wireless EEG monitor system based on BSN node.
IHI
Gang Li, Haifeng Chen, Jungtae Lee
2010 B conf
Invariants Based Failure Diagnosis in Distributed Computing Systems.
SRDS
Haifeng Chen, Guofei Jiang, Kenji Yoshihira, Akhilesh Saxena
2010 — conf
Modeling and Simulation of Two-Leaf Semi-rotary VAWT.
LSMS/ICSEE (1)
Qian Zhang, Haifeng Chen, Binbin Wang
2010 — conf
PeerWatch: a fault detection and diagnosis tool for virtualized consolidation systems.
ICAC
Hui Kang, Haifeng Chen, Guofei Jiang
2010 J jnl
Understanding Internet Video sharing site workload: A view from data center design.
J. Vis. Commun. Image Represent.
Xiaozhu Kang, Hui Zhang, Guofei Jiang, Haifeng Chen, Xiaoqiao Meng, Kenji Yoshihira
2010 — conf
VCAE: A Virtualization and Consolidation Analysis Engine for Large Scale Data Centers.
SASO
Haifeng Chen, Hui Kang, Guofei Jiang, Kenji Yoshihira, Akhilesh Saxena
2009 Misc conf
A gradient oriented recombination scheme for evolution strategies.
SAC
Haifeng Chen, Guofei Jiang
2009 Misc conf
Boosting the performance of computing systems through adaptive configuration tuning.
SAC
Haifeng Chen, Guofei Jiang, Hui Zhang, Kenji Yoshihira
2009 — conf
Design of Portable Multi-Channel EEG Signal Acquisition System.
BMEI
Lin Zhu, Haifeng Chen, Xu Zhang, Kai Guo, Shujing Wang, Yu Wang, Weihua Pei, Hongda Chen
2009 — conf
Estimation of Heart Rate Variability Changes during Different Visual Stimulations Using Non-invasive Continuous ECG Monitoring System.
IJCBS
Wanqing Wu, Jungtae Lee, Haifeng Chen
2009 J jnl
Experience transfer for the configuration tuning in large scale computing systems.
SIGMETRICS Perform. Evaluation Rev.
Haifeng Chen, Wenxuan Zhang, Guofei Jiang
2009 J jnl
Fast Indexing for Large-scale Networked System Modeling.
J. Networks
Hui Zhang, Haifeng Chen, Guofei Jiang, Xiaoqiao Meng, Kenji Yoshihira
2009 — conf
Intelligent Workload Factoring for a Hybrid Cloud Computing Model.
SERVICES I
Hui Zhang, Guofei Jiang, Kenji Yoshihira, Haifeng Chen, Akhilesh Saxena
2009 A conf
Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems.
ICDCS
Jing Gao, Guofei Jiang, Haifeng Chen, Jiawei Han
2009 — conf
Ranking the importance of alerts for problem determination in large computer systems.
ICAC
Guofei Jiang, Haifeng Chen, Kenji Yoshihira, Akhilesh Saxena
2009 — conf
Resilient workload manager: taming bursty workload of scaling internet applications.
ICAC
Hui Zhang, Guofei Jiang, Kenji Yoshihira, Haifeng Chen, Akhilesh Saxena
2008 A* conf
Automatic Profiling of Network Event Sequences: Algorithm and Applications.
INFOCOM
Xiaoqiao Meng, Guofei Jiang, Hui Zhang, Haifeng Chen, Kenji Yoshihira
2008 A conf
Autotuning Configurations in Distributed Systems for Performance Improvements Using Evolutionary Strategies.
ICDCS
Anooshiravan Saboori, Guofei Jiang, Haifeng Chen
2008 C conf
Correlating real-time monitoring data for mobile network management.
WOWMOM
Nanyan Jiang, Guofei Jiang, Haifeng Chen, Kenji Yoshihira
2008 — conf
Enabling Information Confidentiality in Publish/Subscribe Overlay Services.
ICC
Hui Zhang, Abhishek B. Sharma, Haifeng Chen, Guofei Jiang, Xiaoqiao Meng, Kenji Yoshihira
2008 A* conf
Exploiting Local and Global Invariants for the Management of Large Scale Information Systems.
ICDM
Haifeng Chen, Haibin Cheng, Guofei Jiang, Kenji Yoshihira
2008 A conf
Measurement, Modeling, and Analysis of Internet Video Sharing Site Workload: A Case Study.
ICWS
Xiaozhu Kang, Hui Zhang, Guofei Jiang, Haifeng Chen, Xiaoqiao Meng, Kenji Yoshihira
2008 J jnl
Monitoring High-Dimensional Data for Failure Detection and Localization in Large-Scale Computing Systems.
IEEE Trans. Knowl. Data Eng.
Haifeng Chen, Guofei Jiang, Kenji Yoshihira
2008 J jnl
Profiling services for resource optimization and capacity planning in distributed systems.
Clust. Comput.
Guofei Jiang, Haifeng Chen, Kenji Yoshihira
2008 A* conf
Understanding internet video sharing site workload: a view from data center design.
WWW
Xiaozhu Kang, Hui Zhang, Guofei Jiang, Haifeng Chen, Xiaoqiao Meng, Kenji Yoshihira
2007 — conf
Development of a Portable EEG Monitoring System based on WLAN.
ICNSC
Haifeng Chen, Donghee Ye, Jungtae Lee
2007 — conf
Development of a Tiny Computer-Assisted Wireless EEG Biofeedback System.
ICES
Haifeng Chen, Ssanghee Seo, Donghee Ye, Jungtae Lee
2007 J jnl
Efficient and Scalable Algorithms for Inferring Likely Invariants in Distributed Systems.
IEEE Trans. Knowl. Data Eng.
Guofei Jiang, Haifeng Chen, Kenji Yoshihira
2007 J jnl
Failure Detection in Large-Scale Internet Services by Principal Subspace Mapping.
IEEE Trans. Knowl. Data Eng.
Haifeng Chen, Guofei Jiang, Kenji Yoshihira
2007 — conf
Measurement and Analysis of "Yes" and "No" Responses by Auditory Stimuli Questions in Human EEG.
FBIT
Ssanghee Seo, Haifeng Chen, Donghee Ye, Jungtae Lee, Kyungjae Ha
2007 J jnl
Multiresolution Abnormal Trace Detection Using Varied-Length n-Grams and Automata.
IEEE Trans. Syst. Man Cybern. Part C
Guofei Jiang, Haifeng Chen, Cristian Ungureanu, Kenji Yoshihira
2007 — conf
Nonlinear Feature Selection by Relevance Feature Vector Machine.
MLDM
Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yoshihira
2007 J jnl
Online Tracking of Component Interactions for Failure Detection and Localization in Distributed Systems.
IEEE Trans. Syst. Man Cybern. Part C
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Kenji Yoshihira
2006 Misc conf
Combining supervised and unsupervised monitoring for fault detection in distributed computing systems.
SAC
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Kenji Yoshihira
2006 — conf
Discovering Likely Invariants of Distributed Transaction Systems for Autonomic System Management.
ICAC
Guofei Jiang, Haifeng Chen, Kenji Yoshihira
2006 J jnl
Discovering likely invariants of distributed transaction systems for autonomic system management.
Clust. Comput.
Guofei Jiang, Haifeng Chen, Kenji Yoshihira
2006 — conf
Fault Detection in Distributed Systems by Representative Subspace Mapping.
ICPR (4)
Haifeng Chen, Guofei Jiang, Kenji Yoshihira
2006 J jnl
Modeling and Tracking of Transaction Flow Dynamics for Fault Detection in Complex Systems.
IEEE Trans. Dependable Secur. Comput.
Guofei Jiang, Haifeng Chen, Kenji Yoshihira
2006 — conf
Robust Nonlinear Dimensionality Reduction for Manifold Learning.
ICPR (2)
Haifeng Chen, Guofei Jiang, Kenji Yoshihira
2006 A conf
Tracking Probabilistic Correlation of Monitoring Data for Fault Detection in Complex Systems.
DSN
Zhen Guo, Guofei Jiang, Haifeng Chen, Kenji Yoshihira
2005 J jnl
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.
Haifeng Chen, Bo Tao Fan, Chenyang Zhao, Lan Xie, Chun-Hong Zhao, Ting Zhou, Kuo-Hsiung Lee, Graham Allaway
2005 A* conf
Failure detection and localization in component based systems by online tracking.
KDD
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Kenji Yoshihira
2005 — conf
Multi-resolution Abnormal Trace Detection Using Varied-length N-grams and Automata.
ICAC
Guofei Jiang, Haifeng Chen, Cristian Ungureanu, Kenji Yoshihira
2005 J jnl
Robust fusion of uncertain information.
IEEE Trans. Syst. Man Cybern. Part B
Haifeng Chen, Peter Meer
2005 J jnl
Superstructure Searching Algorithm for Generic Reaction Retrieval.
J. Chem. Inf. Model.
Qian Zhu, Jianhua Yao, Shengang Yuan, Feng Li, Haifeng Chen, Wei Cai, Quan Liao
2004 J jnl
Comparative Study of QSAR/QSPR Correlations Using Support Vector Machines, Radial Basis Function Neural Networks, and Multiple Linear Regression.
J. Chem. Inf. Model.
Xiaojun Yao, Annick Panaye, Jean-Pierre Doucet, Ruisheng Zhang, Haifeng Chen, Mancang Liu, Zhide Hu, Bo Tao Fan
2004 — conf
Model Based Object Recognition by Robust Information Fusion.
ICPR (3)
Haifeng Chen, Ilan Shimshoni, Peter Meer
2003 — conf
Robust Fusion of Uncertain Information.
CVPR Workshops
Haifeng Chen, Peter Meer
2003 A* conf
Robust Regression with Projection Based M-estimators.
ICCV
Haifeng Chen, Peter Meer
2002 — conf
Robust Computer Vision through Kernel Density Estimation.
ECCV (1)
Haifeng Chen, Peter Meer
2001 — conf
Robust Regression for Data with Multiple Structures.
CVPR (1)
Haifeng Chen, Peter Meer, David E. Tyler