default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHaifeng Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j54]Yunhe Guan, Jiachen Lu
, Hao Zhang, Zhen Dou, Haifeng Chen, Feng Liang:
A comparative study of work function variations in III-V heterojunction and homojunction tunnel field-effect transistors. Microelectron. J. 145: 106118 (2024)- [j53]Haoyu Zhang, Linlin Cai, Haifeng Chen, Binyu Yin, Wangyong Chen:
Exploring thermal effects of advanced backside power delivery network beyond 3 nm node. Microelectron. J. 153: 106440 (2024) - [j52]Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, Xiang Zhang:
Towards Inductive and Efficient Explanations for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5245-5259 (2024) - [j51]Haifeng Chen, Peng Zhang, Chujia Guo, Ke Lu, Dongmei Jiang:
Facial Action Unit Representation Based on Self-Supervised Learning With Ensembled Priori Constraints. IEEE Trans. Image Process. 33: 5045-5059 (2024) - [c184]Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, Cong Liu:
Distantly-Supervised Joint Extraction with Noise-Robust Learning. ACL (Findings) 2024: 10202-10217 - [c183]Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen:
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. EMNLP (Findings) 2024: 3675-3688 - [c182]Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng:
A Survey on Detection of LLMs-Generated Content. EMNLP (Findings) 2024: 9786-9805 - [c181]Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng:
Large Language Models Can Be Contextual Privacy Protection Learners. EMNLP 2024: 14179-14201 - [c180]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 - [c179]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 - [c178]Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo:
Parametric Augmentation for Time Series Contrastive Learning. ICLR 2024 - [c177]Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen:
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton. ICML 2024 - [c176]Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu:
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows. IJCAI 2024: 2063-2071 - [c175]Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen:
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments. IJCAI 2024: 4560-4568 - [c174]Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen:
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. KDD 2024: 3140-3151 - [c173]Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong:
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. KDD 2024: 6148-6157 - [c172]Chen Zhao, Feng Chen, Xintao Wu, Jundong Li, Haifeng Chen:
3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD 2024: 6751-6752 - [c171]Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Wei Hua, Haifeng Chen:
3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM). KDD 2024: 6755-6756 - [c170]Zhixian Zhao, Haifeng Chen, Xi Li, Dongmei Jiang, Lei Xie:
Improving Multimodal Emotion Recognition by Leveraging Acoustic Adaptation and Visual Alignment. MRAC@MM 2024: 67-71 - [c169]Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen:
Pruning as a Domain-specific LLM Extractor. NAACL-HLT (Findings) 2024: 1417-1428 - [c168]Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen:
Uncertainty Quantification for In-Context Learning of Large Language Models. NAACL-HLT 2024: 3357-3370 - [c167]Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen:
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. VLDB Workshops 2024 - [c166]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Interpretable Imitation Learning with Dynamic Causal Relations. WSDM 2024: 967-975 - [c165]Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen:
MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. WWW 2024: 4107-4116 - [i75]Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen:
Multi-modal Causal Structure Learning and Root Cause Analysis. CoRR abs/2402.02357 (2024) - [i74]Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen:
Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton. CoRR abs/2402.04411 (2024) - [i73]Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen:
Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. CoRR abs/2402.10189 (2024) - [i72]Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo:
Parametric Augmentation for Time Series Contrastive Learning. CoRR abs/2402.10434 (2024) - [i71]Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen:
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. CoRR abs/2402.11441 (2024) - [i70]Wangyang Ying, Dongjie Wang, Haifeng Chen, Yanjie Fu:
Feature Selection as Deep Sequential Generative Learning. CoRR abs/2403.03838 (2024) - [i69]Xinyuan Wang, Dongjie Wang, Wangyang Ying, Rui Xie, Haifeng Chen, Yanjie Fu:
Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent. CoRR abs/2403.04015 (2024) - [i68]Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen:
Pruning as a Domain-specific LLM Extractor. CoRR abs/2405.06275 (2024) - [i67]Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu:
Improving Logits-based Detector without Logits from Black-box LLMs. CoRR abs/2406.05232 (2024) - [i66]Lecheng Zheng, Zhengzhang Chen, Dongjie Wang, Chengyuan Deng, Reon Matsuoka, Haifeng Chen:
LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis. CoRR abs/2406.05375 (2024) - [i65]Lang He, Kai Chen, Junnan Zhao, Yimeng Wang, Ercheng Pei, Haifeng Chen, Jiewei Jiang, Shiqing Zhang, Jie Zhang, Zhongmin Wang, Tao He, Prayag Tiwari:
LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild. CoRR abs/2407.00024 (2024) - [i64]Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong:
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. CoRR abs/2407.08910 (2024) - [i63]Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Haifeng Chen, Jie Gao:
RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point Detection. CoRR abs/2407.09698 (2024) - [i62]Zhixian Zhao, Haifeng Chen, Xi Li, Dongmei Jiang, Lei Xie:
Improving Multimodal Emotion Recognition by Leveraging Acoustic Adaptation and Visual Alignment. CoRR abs/2409.05015 (2024) - [i61]Lecheng Zheng, Zhengzhang Chen, Haifeng Chen, Jingrui He:
Online Multi-modal Root Cause Analysis. CoRR abs/2410.10021 (2024) - [i60]Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen:
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. CoRR abs/2410.17462 (2024) - [i59]Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng:
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. CoRR abs/2410.19230 (2024) - 2023
- [j50]Guojun Yang, Xue Li, Weiwei Zhang, Nier Wu, Haifeng Chen, Xia Liu, Haiyue Jiang:
Quantitative T2 mapping monitoring the maturation of engineered elastic cartilage in a rabbit model. BMC Medical Imaging 23(1): 36 (2023) - [j49]Zechuan Wang, Junwan Zhu, Zhigang Lu, Jingrui Duan, Haifeng Chen, Shaomeng Wang, Zhanliang Wang, Huarong Gong, Yubin Gong:
A Novel Staggered Double-Segmented Grating Slow-Wave Structure for 340 GHz Traveling-Wave Tube. Sensors 23(10): 4762 (2023) - [j48]Haifeng Chen, Dongmei Jiang, Yong Zhao, Xiaoyong Wei, Ke Lu, Hichem Sahli:
Region Attentive Action Unit Intensity Estimation With Uncertainty Weighted Multi-Task Learning. IEEE Trans. Affect. Comput. 14(3): 2033-2047 (2023) - [j47]Fan Li, Jianjun Gao, Mauricio D. Sacchi, Jun Lu, Yun Wang, Haifeng Chen, Chaolin Li:
Multicomponent Seismic Data Reconstruction via a Biquaternion-Based Vector POCS Method. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j46]Fan Li, Jianjun Gao, Mauricio D. Sacchi, Jun Lu, Yun Wang, Haifeng Chen, Chaolin Li:
Correction to "Multicomponent Seismic Data Reconstruction via a Biquaternion-Based Vector POCS Method". IEEE Trans. Geosci. Remote. Sens. 61: 1 (2023) - [j45]Denghui Zhang, Yanchi Liu, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong:
Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning. IEEE Trans. Knowl. Data Eng. 35(7): 7239-7250 (2023) - [j44]Li Wang, Xinyu Zhang, Jun Li, Baowei Xv, Rong Fu, Haifeng Chen, Lei Yang, Dafeng Jin, Lijun Zhao:
Multi-Modal and Multi-Scale Fusion 3D Object Detection of 4D Radar and LiDAR for Autonomous Driving. IEEE Trans. Veh. Technol. 72(5): 5628-5641 (2023) - [c164]Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Time Series Contrastive Learning with Information-Aware Augmentations. AAAI 2023: 4534-4542 - [c163]Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu:
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data. ACL (2) 2023: 1349-1358 - [c162]Mingyue Zheng, Wangyong Chen, Yaoyang Lyu, Haifeng Chen, Jiahui Chen, Linlin Cai:
Enhancing Temperature Immunity of Digital Circuit Against Aging : The Standard Cell Subset Method. ASICON 2023: 1-4 - [c161]Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen:
Adaptation Speed Analysis for Fairness-aware Causal Models. CIKM 2023: 1421-1430 - [c160]Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li:
Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning. CIKM 2023: 2270-2279 - [c159]Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen:
Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. CISS 2023: 1-6 - [c158]Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao:
Open-ended Commonsense Reasoning with Unrestricted Answer Candidates. EMNLP (Findings) 2023: 8035-8047 - [c157]Masanao Natsumeda, Takehiko Mizoguchi, Wei Cheng, Yuncong Chen, Haifeng Chen:
Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning. FUSION 2023: 1-8 - [c156]Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen:
Multi-Label Temporal Evidential Neural Networks for Early Event Detection. ICASSP 2023: 1-5 - [c155]Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu:
GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection. ICKG 2023: 9-18 - [c154]Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng:
Personalized Federated Learning under Mixture of Distributions. ICML 2023: 37860-37879 - [c153]Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen:
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. KDD 2023: 1010-1019 - [c152]Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen:
Incremental Causal Graph Learning for Online Root Cause Analysis. KDD 2023: 2269-2278 - [c151]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. KDD 2023: 3513-3524 - [c150]Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen:
Interdependent Causal Networks for Root Cause Localization. KDD 2023: 5051-5060 - [c149]Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen, Jiayu Zhou:
2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD 2023: 5903-5904 - [c148]Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen:
2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making. KDD 2023: 5907-5908 - [c147]Haifeng Chen, Chujia Guo, Yan Li, Peng Zhang, Dongmei Jiang:
Semi-Supervised Multimodal Emotion Recognition with Class-Balanced Pseudo-labeling. ACM Multimedia 2023: 9556-9560 - [c146]Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu:
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. NeurIPS 2023 - [c145]Peng Yuan, Lu-An Tang, Haifeng Chen, David S. Chang, Moto Sato, Kevin Woodward:
Temporal Graph Based Incident Analysis System for Internet of Things. ECML/PKDD (7) 2023: 305-309 - [i58]Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen:
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization. CoRR abs/2302.01987 (2023) - [i57]Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao:
Knowledge-enhanced Neural Machine Reasoning: A Review. CoRR abs/2302.02093 (2023) - [i56]Xianjun Yang, Yan Li, Xinlu Zhang, Haifeng Chen, Wei Cheng:
Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization. CoRR abs/2302.08081 (2023) - [i55]Xianjun Yang, Wei Cheng, Xujiang Zhao, Linda R. Petzold, Haifeng Chen:
Dynamic Prompting: A Unified Framework for Prompt Tuning. CoRR abs/2303.02909 (2023) - [i54]Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Time Series Contrastive Learning with Information-Aware Augmentations. CoRR abs/2303.11911 (2023) - [i53]Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng:
Personalized Federated Learning under Mixture of Distributions. CoRR abs/2305.01068 (2023) - [i52]Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu:
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data. CoRR abs/2305.03827 (2023) - [i51]Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen:
Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis. CoRR abs/2305.10638 (2023) - [i50]Xianjun Yang, Wei Cheng, Linda R. Petzold, William Yang Wang, Haifeng Chen:
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. CoRR abs/2305.17359 (2023) - [i49]Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao:
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR abs/2305.18703 (2023) - [i48]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. CoRR abs/2306.07919 (2023) - [i47]Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen:
Adaptation Speed Analysis for Fairness-aware Causal Models. CoRR abs/2308.16879 (2023) - [i46]Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao:
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty. CoRR abs/2309.03433 (2023) - [i45]Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu:
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection. CoRR abs/2309.05953 (2023) - [i44]Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen:
Pursuing Counterfactual Fairness via Sequential Autoencoder Across Domains. CoRR abs/2309.13005 (2023) - [i43]Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Dynamic DAG Discovery for Interpretable Imitation Learning. CoRR abs/2310.00489 (2023) - [i42]Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo:
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. CoRR abs/2310.01820 (2023) - [i41]Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, Wei Wang, Wei Cheng:
Large Language Models Can Be Good Privacy Protection Learners. CoRR abs/2310.02469 (2023) - [i40]Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, Cong Liu:
Distantly-Supervised Joint Entity and Relation Extraction with Noise-Robust Learning. CoRR abs/2310.04994 (2023) - [i39]Xianjun Yang, Kexun Zhang, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng:
Zero-Shot Detection of Machine-Generated Codes. CoRR abs/2310.05103 (2023) - [i38]Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye:
A Survey of Heterogeneous Transfer Learning. CoRR abs/2310.08459 (2023) - [i37]Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong:
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR abs/2310.10196 (2023) - [i36]Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao:
Open-ended Commonsense Reasoning with Unrestricted Answer Scope. CoRR abs/2310.11672 (2023) - [i35]Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng:
A Survey on Detection of LLMs-Generated Content. CoRR abs/2310.15654 (2023) - [i34]Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang:
DyExplainer: Explainable Dynamic Graph Neural Networks. CoRR abs/2310.16375 (2023) - [i33]Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen:
Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation. CoRR abs/2312.12276 (2023) - 2022
- [j43]Haibo Liang, Haifeng Chen, Jinhong Guo, Jing Bai, Yingjun Jiang:
Research on lithology identification method based on mechanical specific energy principle and machine learning theory. Expert Syst. Appl. 189: 116142 (2022) - [j42]Peng Yuan, Lu-An Tang, Haifeng Chen, Moto Sato, Kevin Woodward:
3D Histogram Based Anomaly Detection for Categorical Sensor Data in Internet of Things. Open J. Internet Things 8(1): 32-43 (2022) - [j41]Haibo Liang, Haifeng Chen, Jinhong Guo, Xing Zuo:
Detection and Identification Method of Drilling Total Hydrocarbon Gas Based on Infrared Spectroscopy and KL+BP-RBF Algorithm. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j40]Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2365-2377 (2022) - [c144]Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi:
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. AAAI 2022: 11538-11546 - [c143]Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo:
Deep Federated Anomaly Detection for Multivariate Time Series Data. IEEE Big Data 2022: 1-10 - [c142]Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, Philip S. Yu:
Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. IEEE Big Data 2022: 636-645 - [c141]Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen:
Seed: Sound Event Early Detection Via Evidential Uncertainty. ICASSP 2022: 3618-3622 - [c140]Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao:
DeepGAR: Deep Graph Learning for Analogical Reasoning. ICDM 2022: 1065-1070 - [c139]Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang:
Personalized Federated Learning via Heterogeneous Modular Networks. ICDM 2022: 1197-1202 - [c138]Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen:
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings. ICLR 2022 - [c137]Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu:
Towards Learning Disentangled Representations for Time Series. KDD 2022: 3270-3278 - [c136]Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong:
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences. KDD 2022: 4541-4550 - [c135]Yong Zhao, Haifeng Chen, Hichem Sahli, Ke Lu, Dongmei Jiang:
Uncertainty-Aware Semi-Supervised Learning of 3D Face Rigging from Single Image. ACM Multimedia 2022: 170-179 - [c134]Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichuan Li, Wei Wang:
Multi-source Inductive Knowledge Graph Transfer. ECML/PKDD (2) 2022: 155-171 - [c133]Peng Yuan, Lu-An Tang, Haifeng Chen, Moto Sato, Kevin Woodward:
Explainable Anomaly Detection System for Categorical Sensor Data in Internet of Things. ECML/PKDD (6) 2022: 594-598 - [i32]Jurijs Nazarovs, Cristian Lumezanu, Qianying Ren, Yuncong Chen, Takehiko Mizoguchi, Dongjin Song, Haifeng Chen:
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series. CoRR abs/2201.09907