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ORCIDWei Cheng 0002
Person information
- affiliation: NEC Laboratories America, Princeton, USA
- affiliation (PhD 2015): University of North Carolina at Chapel Hill, NC, USA
Other persons with the same name
- Wei Cheng — disambiguation page
- Wei Cheng 0001
![[0000-0002-3635-0745]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3635-0745")
— University of Washington, School of Engineering and Technology, Tacoma, USA (and 2 more) - Wei Cheng 0003 — Télécom Paris & Institut Polytechnique de Paris, Paris, France (and 1 more)
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2020 – today
- 2024
[c73]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- [i40]Wenyue Hua, Xianjun Yang, Zelong Li, Wei Cheng, Yongfeng Zhang:
TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution. CoRR abs/2402.01586 (2024) - [i39]Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen:
Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton. CoRR abs/2402.04411 (2024) - [i38]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) - [i37]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) - [i36]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) - 2023
- [j25]Bang-Sheng Wu, Yi-Jun Ge, Wei Zhang, Shi-Dong Chen, Shitong Xiang, Ya-Ru Zhang, Ya-Nan Ou, Yu-Chao Jiang, Lan Tan, Wei Cheng, John Suckling, Jianfeng Feng, Jin-Tai Yu, Ying Mao:
Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders. NeuroImage 269: 119928 (2023) - [j24]Shitong Xiang, Tianye Jia, Chao Xie, Zhichao Zhu, Wei Cheng, Gunter Schumann, Trevor W. Robbins, Jianfeng Feng:
Fractionation of neural reward processing into independent components by novel decoding principle. NeuroImage 284: 120463 (2023) - [c72]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 - [c71]Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen:
Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. CISS 2023: 1-6 - [c70]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 - [c69]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 - [c68]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 - [c67]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 - [c66]Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen:
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. KDD 2023: 1010-1019 - [c65]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 - [c64]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 - [i35]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) - [i34]Xianjun Yang, Wei Cheng, Xujiang Zhao, Linda R. Petzold, Haifeng Chen:
Dynamic Prompting: A Unified Framework for Prompt Tuning. CoRR abs/2303.02909 (2023) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang:
DyExplainer: Explainable Dynamic Graph Neural Networks. CoRR abs/2310.16375 (2023) - [i19]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
- [j23]Edmund T. Rolls, Zhuo Wan, Wei Cheng, Jianfeng Feng:
Risk-taking in humans and the medial orbitofrontal cortex reward system. NeuroImage 249: 118893 (2022) - [j22]Zeyu Jiao, Yinglei Lai, Jujiao Kang, Weikang Gong, Liang Ma, Tianye Jia, Chao Xie, Shitong Xiang, Wei Cheng, Andreas Heinz, Sylvane Desrivières, Gunter Schumann, Fengzhu Sun, Jianfeng Feng:
A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies. NeuroImage 255: 119166 (2022) - [c63]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 - [c62]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 - [c61]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 - [c60]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 - [c59]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 - [c58]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 - [i18]Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen:
SEED: Sound Event Early Detection via Evidential Uncertainty. CoRR abs/2202.02441 (2022) - [i17]Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo:
Deep Federated Anomaly Detection for Multivariate Time Series Data. CoRR abs/2205.04041 (2022) - [i16]Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang:
Personalized Federated Learning via Heterogeneous Modular Networks. CoRR abs/2210.14830 (2022) - 2021
- [j21]Lu Zhang, Jiajia Zhao, Qunjie Zhou, Zhaowen Liu, Yi Zhang, Wei Cheng, Weikang Gong, Xiaoping Hu, Wenlian Lu, Edward T. Bullmore, Chun-Yi Zac Lo, Jianfeng Feng:
Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age. NeuroImage 237: 118188 (2021) - [c57]Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson:
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI 2021: 651-659 - [c56]Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang:
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. AAAI 2021: 4546-4554 - [c55]Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang:
Multi-Task Recurrent Modular Networks. AAAI 2021: 10496-10504 - [c54]Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen:
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM 2021: 1366-1375 - [c53]Zeyu Li, Wei Cheng, Haiqi Xiao, Wenchao Yu, Haifeng Chen, Wei Wang:
You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation. CIKM 2021: 3945-3954 - [c52]Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. CVPR 2021: 13254-13263 - [c51]Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang:
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction. EMNLP (Findings) 2021: 763-778 - [c50]Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu:
Aspect-based Sentiment Classification via Reinforcement Learning. ICDM 2021: 1391-1396 - [c49]Xucan Chen, Wei Cheng, Marie Ouellet, Yuan Li, David Maimon, Yubao Wu:
Identifying Darknet Vendor Wallets by Matching Feedback Reviews with Bitcoin Transactions. ICDM (Workshops) 2021: 788-797 - [c48]Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen:
Unsupervised Concept Representation Learning for Length-Varying Text Similarity. NAACL-HLT 2021: 5611-5620 - [c47]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang:
InfoGCL: Information-Aware Graph Contrastive Learning. NeurIPS 2021: 30414-30425 - [c46]Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang:
Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. SDM 2021: 91-99 - [c45]Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang:
Learning to Drop: Robust Graph Neural Network via Topological Denoising. WSDM 2021: 779-787 - [i15]Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson:
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR abs/2103.02164 (2021) - [i14]Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang:
Unsupervised Document Embedding via Contrastive Augmentation. CoRR abs/2103.14542 (2021) - [i13]Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. CoRR abs/2104.04107 (2021) - [i12]Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang:
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction. CoRR abs/2109.03821 (2021) - [i11]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang:
InfoGCL: Information-Aware Graph Contrastive Learning. CoRR abs/2110.15438 (2021) - [i10]Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi:
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. CoRR abs/2112.00503 (2021) - [i9]Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao:
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? CoRR abs/2112.12356 (2021) - 2020
- [j20]Likun Cai, Yanjie Chen, Ning Cai, Wei Cheng, Hao Wang:
Utilizing Amari-Alpha Divergence to Stabilize the Training of Generative Adversarial Networks. Entropy 22(4): 410 (2020) - [j19]Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang:
Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. 62(5): 2067-2101 (2020) - [j18]Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang:
Correction to: Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. 62(5): 2103-2104 (2020) - [j17]Zhuo Wan, Edmund T. Rolls, Wei Cheng, Jianfeng Feng:
Sensation-seeking is related to functional connectivities of the medial orbitofrontal cortex with the anterior cingulate cortex. NeuroImage 215: 116845 (2020) - [c44]Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang:
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. AAAI 2020: 1395-1402 - [c43]Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen:
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. AAAI 2020: 1403-1411 - [c42]Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo:
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. AAAI 2020: 7667-7674 - [c41]Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong:
T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. ICDM 2020: 1388-1393 - [c40]Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu:
Inductive and Unsupervised Representation Learning on Graph Structured Objects. ICLR 2020 - [c39]Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang:
Robust Graph Representation Learning via Neural Sparsification. ICML 2020: 11458-11468 - [c38]Yanjie Chen, Likun Cai, Wei Cheng, Hao Wang:
Super-Resolution Coding Defense Against Adversarial Examples. ICMR 2020: 189-197 - [c37]Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen:
You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. NDSS 2020 - [c36]Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang:
Parameterized Explainer for Graph Neural Network. NeurIPS 2020 - [c35]Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang:
Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution. ECML/PKDD (3) 2020: 330-346 - [c34]Zeyu Li, Wei Cheng, Yang Chen, Haifeng Chen, Wei Wang:
Interpretable Click-Through Rate Prediction through Hierarchical Attention. WSDM 2020: 313-321 - [c33]Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen:
Temporal Context-Aware Representation Learning for Question Routing. WSDM 2020: 753-761 - [c32]Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha:
Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. WWW 2020: 1785-1795 - [i8]Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo:
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. CoRR abs/2001.04346 (2020) - [i7]Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong:
T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. CoRR abs/2010.13903 (2020) - [i6]Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang:
Parameterized Explainer for Graph Neural Network. CoRR abs/2011.04573 (2020) - [i5]Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang:
Learning to Drop: Robust Graph Neural Network via Topological Denoising. CoRR abs/2011.07057 (2020)
2010 – 2019
- 2019
- [j16]Zhaowen Liu, Edmund T. Rolls, Zhi Liu, Kai Zhang, Ming Yang, Jingnan Du, Weikang Gong, Wei Cheng, Fei Dai, He Wang, Kâmil Ugurbil, Jie Zhang, Jianfeng Feng:
Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results. Bioinform. 35(19): 3771-3778 (2019) - [j15]Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang:
The multi-walker chain and its application in local community detection. Knowl. Inf. Syst. 60(3): 1663-1691 (2019) - [j14]Liang Lan, Zhuang Wang, Shandian Zhe, Wei Cheng, Jun Wang, Kai Zhang:
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach. IEEE Trans. Neural Networks Learn. Syst. 30(2): 369-378 (2019) - [j13]Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, Zeyi Sun, Zhishan Guo:
$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing. IEEE Trans. Neural Networks Learn. Syst. 30(3): 707-717 (2019) - [c31]Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla:
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. AAAI 2019: 1409-1416 - [c30]Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang:
Self-Attentive Attributed Network Embedding Through Adversarial Learning. ICDM 2019: 758-767 - [c29]Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen:
Learning Robust Representations with Graph Denoising Policy Network. ICDM 2019: 1378-1383 - [c28]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang:
Adaptive Neural Network for Node Classification in Dynamic Networks. ICDM 2019: 1402-1407 - [c27]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang:
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. IJCAI 2019: 3947-3953 - [c26]Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Deep Co-Clustering. SDM 2019: 414-422 - [i4]Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen:
Learning Robust Representations with Graph Denoising Policy Network. CoRR abs/1910.01784 (2019) - 2018
- [j12]Weikang Gong, Lin Wan, Wenlian Lu, Liang Ma, Fan Cheng, Wei Cheng, Stefan Grünewald, Jianfeng Feng:
Statistical testing and power analysis for brain-wide association study. Medical Image Anal. 47: 15-30 (2018) - [j11]Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang:
ComClus: A Self-Grouping Framework for Multi-Network Clustering. IEEE Trans. Knowl. Data Eng. 30(3): 435-448 (2018) - [c25]Ying Lin, Zhengzhang Chen, Cheng Cao, Lu-An Tang, Kai Zhang, Wei Cheng, Zhichun Li:
Collaborative Alert Ranking for Anomaly Detection. CIKM 2018: 1987-1995 - [c24]Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang:
On Multi-query Local Community Detection. ICDM 2018: 9-18 - [c23]Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Dae-ki Cho, Haifeng Chen:
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection. ICLR (Poster) 2018 - [c22]Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo:
De-biasing Covariance-Regularized Discriminant Analysis. IJCAI 2018: 2889-2897 - [c21]Dongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao:
Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval. KDD 2018: 2229-2238 - [c20]Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang:
Learning Deep Network Representations with Adversarially Regularized Autoencoders. KDD 2018: 2663-2671 - [c19]Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang:
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. KDD 2018: 2672-2681 - [c18]Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang:
Co-Regularized Deep Multi-Network Embedding. WWW 2018: 469-478 - [i3]Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla:
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. CoRR abs/1811.08055 (2018) - 2017
- [j10]Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha:
Low-rank decomposition meets kernel learning: A generalized Nyström method. Artif. Intell. 250: 1-15 (2017) - [j9]Wei Cheng, Edmund T. Rolls, Jie Zhang, Wenbo Sheng, Liang Ma, Lin Wan, Qiang Luo, Jianfeng Feng:
Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis. NeuroImage 148: 169-178 (2017) - [j8]Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang:
Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. ACM Trans. Knowl. Discov. Data 11(4): 40:1-40:28 (2017) - [c17]Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, Jinbo Bi:
Identifying and quantifying nonlinear structured relationships in complex manufactural systems. IEEE BigData 2017: 1357-1362 - [c16]Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang:
Many Heads are Better than One: Local Community Detection by the Multi-walker Chain. ICDM 2017: 21-30 - [c15]Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo:
AWDA: An Adaptive Wishart Discriminant Analysis. ICDM 2017: 525-534 - [c14]Jiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, Yanjie Fu:
Multi-party Sparse Discriminant Learning. ICDM 2017: 745-750 - [c13]Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang:
Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. ICDM 2017: 1003-1008 - [c12]Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell:
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. IJCAI 2017: 2627-2633 - [c11]Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang:
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks. IJCAI 2017: 3343-3349 - [i2]Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell:
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. CoRR abs/1704.02971 (2017) - [i1]Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo:
FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification. CoRR abs/1704.07790 (2017) - 2016
- [j7]Wei Cheng, Yu Shi, Xiang Zhang, Wei Wang:
Sparse regression models for unraveling group and individual associations in eQTL mapping. BMC Bioinform. 17: 136 (2016) - [j6]Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang:
HICC: an entropy splitting-based framework for hierarchical co-clustering. Knowl. Inf. Syst. 46(2): 343-367 (2016) - [j5]Wei Cheng, Zhishan Guo, Xiang Zhang, Wei Wang:
CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering. ACM Trans. Knowl. Discov. Data 10(4): 46:1-46:27 (2016) - [c10]Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang:
Self-Grouping Multi-network Clustering. ICDM 2016: 1119-1124 - [c9]Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang:
Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. KDD 2016: 805-814 - 2015
- [b1]Wei Cheng:
Toward Robust Group-Wise eQTL Mapping via Integrating Multi-Domain Heterogeneous Data. University of North Carolina, Chapel Hill, USA, 2015 - [j4]Wei Cheng, Shi Yu, Xiang Zhang, Wei Wang:
Fast and robust group-wise eQTL mapping using sparse graphical models. BMC Bioinform. 16: 2:1-2:16 (2015) - [c8]Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang:
Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. ICDM 2015: 291-300 - 2014
- [j3]Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi, Wei Wang:
Graph-regularized dual Lasso for robust eQTL mapping. Bioinform. 30(12): 139-148 (2014) - [j2]Wei Cheng, Xiaoming Jin, Jian-Tao Sun, Xuemin Lin, Xiang Zhang, Wei Wang:
Searching Dimension Incomplete Databases. IEEE Trans. Knowl. Data Eng. 26(3): 725-738 (2014) - 2013
- [j1]Qiang Luo, Wenlian Lu, Wei Cheng, Pedro A. Valdés-Sosa, Xiaotong Wen, Mingzhou Ding, Jianfeng Feng:
Spatio-temporal Granger causality: A new framework. NeuroImage 79: 241-263 (2013) - [c7]Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, Wei Wang:
Flexible and robust co-regularized multi-domain graph clustering. KDD 2013: 320-328 - [p1]Wei Cheng, Wei Wang, Sandra Batista:
Grid-Based Clustering. Data Clustering: Algorithms and Applications 2013: 127-148 - 2012
- [c6]Wei Cheng, Xiang Zhang, Yubao Wu, Xiaolin Yin, Jing Li, David Heckerman, Wei Wang:
Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model. BCB 2012: 466-473 - [c5]Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang:
Hierarchical co-clustering based on entropy splitting. CIKM 2012: 1472-1476 - [c4]Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang:
Dual Transfer Learning. SDM 2012: 540-551 - 2011
- [c3]Wei Cheng, Xiaochuan Ni, Jian-Tao Sun, Xiaoming Jin, Hye-Chung Kum, Xiang Zhang, Wei Wang:
Measuring Opinion Relevance in Latent Topic Space. SocialCom/PASSAT 2011: 323-330 - 2010
- [c2]Mingsheng Long, Wei Cheng, Xiaoming Jin, Jianmin Wang, Dou Shen:
Transfer Learning via Cluster Correspondence Inference. ICDM 2010: 917-922
2000 – 2009
- 2009
- [c1]Wei Cheng, Xiaoming Jin, Jian-Tao Sun:
Probabilistic Similarity Query on Dimension Incomplete Data. ICDM 2009: 81-90
Coauthor Index
[c73] [i39] [i38] [i37] [i36] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [c63] [c62] [c61] [c60] [c59] [c58] [i18] [i17] [i16] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c48] [c47] [c46] [c45] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [c44] [c43] [c42] [c41] [c40] [c39] [c37] [c36] [c35] [c34] [c33] [c32] [i8] [i7] [i6] [i5] [c31] [c30] [c29] [c28] [c26] [i4] [c23] [c21] [c20] [c19] [c18] [i3] [j8] [c17] [c13] [c12] [c11] [i2] [c9]
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