Probabilistic Similarity Query on Dimension Incomplete Data. - Wei Cheng 002; Xiaoming Jin; Jian-Tao Sun (ICDM, 2009)

Transfer Learning via Cluster Correspondence Inference. - Mingsheng Long; Wei Cheng 002; Xiaoming Jin; Jianmin Wang 001; Dou Shen (ICDM, 2010)

Measuring Opinion Relevance in Latent Topic Space. - Wei Cheng 002; Xiaochuan Ni 001; Jian-Tao Sun; Xiaoming Jin; Hye-Chung Kum; Xiang Zhang 001; Wei Wang 010 (SocialCom/PASSAT, 2011)

Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model. - Wei Cheng 002; Xiang Zhang 001; Yubao Wu; Xiaolin Yin; Jing Li 002; David Heckerman; Wei Wang 010 (BCB, 2012)

Hierarchical co-clustering based on entropy splitting. - Wei Cheng 002; Xiang Zhang 001; Feng Pan 001; Wei Wang 010 (CIKM, 2012)

Dual Transfer Learning. - Mingsheng Long; Jianmin Wang 001; Guiguang Ding; Wei Cheng 002; Xiang Zhang 001; Wei Wang 010 (SDM, 2012)

Grid-Based Clustering. - Wei Cheng 002; Wei Wang 010; Sandra Batista (Data Clustering: Algorithms and Applications, 2013)

Flexible and robust co-regularized multi-domain graph clustering. - Wei Cheng 002; Xiang Zhang 001; Zhishan Guo; Yubao Wu; Patrick F. Sullivan; Wei Wang 010 (KDD, 2013)

Spatio-temporal Granger causality: A new framework. - Qiang Luo; Wenlian Lu; Wei Cheng 002; Pedro A. Valdés-Sosa; Xiaotong Wen; Mingzhou Ding; Jianfeng Feng (NeuroImage, 2013)

Graph-regularized dual Lasso for robust eQTL mapping. - Wei Cheng 002; Xiang Zhang 001; Zhishan Guo; Yu Shi 002; Wei Wang 010 (Bioinform., 2014)

Searching Dimension Incomplete Databases. - Wei Cheng 002; Xiaoming Jin; Jian-Tao Sun; Xuemin Lin 001; Xiang Zhang 001; Wei Wang 010 (IEEE Trans. Knowl. Data Eng., 2014)

Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. - Rui Liu 013; Wei Cheng 002; Hanghang Tong; Wei Wang 010; Xiang Zhang 001 (ICDM, 2015)

Fast and robust group-wise eQTL mapping using sparse graphical models. - Wei Cheng 002; Shi Yu; Xiang Zhang 001; Wei Wang 010 (BMC Bioinform., 2015)

Toward Robust Group-Wise eQTL Mapping via Integrating Multi-Domain Heterogeneous Data. - Wei Cheng 002 (2015)

Self-Grouping Multi-network Clustering. - Jingchao Ni; Wei Cheng 002; Wei Fan 001; Xiang Zhang 001 (ICDM, 2016)

Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. - Wei Cheng 002; Kai Zhang 001; Haifeng Chen; Guofei Jiang; Zhengzhang Chen; Wei Wang 010 (KDD, 2016)

Sparse regression models for unraveling group and individual associations in eQTL mapping. - Wei Cheng 002; Yu Shi 002; Xiang Zhang 001; Wei Wang 010 (BMC Bioinform., 2016)

HICC: an entropy splitting-based framework for hierarchical co-clustering. - Wei Cheng 002; Xiang Zhang 001; Feng Pan 001; Wei Wang 010 (Knowl. Inf. Syst., 2016)

CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering. - Wei Cheng 002; Zhishan Guo; Xiang Zhang 001; Wei Wang 010 (ACM Trans. Knowl. Discov. Data, 2016)

Identifying and quantifying nonlinear structured relationships in complex manufactural systems. - Tingyang Xu; Tan Yan; Dongjin Song; Wei Cheng 002; Haifeng Chen; Geoff Jiang; Jinbo Bi (IEEE BigData, 2017)

Many Heads are Better than One: Local Community Detection by the Multi-walker Chain. - Yuchen Bian; Jingchao Ni; Wei Cheng 002; Xiang Zhang 001 (ICDM, 2017)

Multi-party Sparse Discriminant Learning. - Jiang Bian 003; Haoyi Xiong; Wei Cheng 002; Wenqing Hu; Zhishan Guo; Yanjie Fu (ICDM, 2017)

Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. - Jingchao Ni; Wei Cheng 002; Kai Zhang 001; Dongjin Song; Tan Yan; Haifeng Chen; Xiang Zhang 001 (ICDM, 2017)

AWDA: An Adaptive Wishart Discriminant Analysis. - Haoyi Xiong; Wei Cheng 002; Wenqing Hu; Jiang Bian 003; Zhishan Guo (ICDM, 2017)

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. - Yao Qin 001; Dongjin Song; Haifeng Chen; Wei Cheng 002; Guofei Jiang; Garrison W. Cottrell (IJCAI, 2017)

Link Prediction with Spatial and Temporal Consistency in Dynamic Networks. - Wenchao Yu; Wei Cheng 002; Charu C. Aggarwal; Haifeng Chen; Wei Wang 010 (IJCAI, 2017)

Low-rank decomposition meets kernel learning: A generalized Nyström method. - Liang Lan; Kai Zhang 001; Hancheng Ge; Wei Cheng 002; Jun Liu 003; Andreas Rauber; Xiaoli Li 001; Jun Wang 006; Hongyuan Zha (Artif. Intell., 2017)

FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification. - Haoyi Xiong; Wei Cheng 002; Wenqing Hu; Jiang Bian 003; Zhishan Guo (CoRR, 2017)

Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis. - Wei Cheng 002; Edmund T. Rolls; Jie Zhang 012; Wenbo Sheng; Liang Ma; Lin Wan; Qiang Luo; Jianfeng Feng (NeuroImage, 2017)

Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. - Wei Cheng 002; Jingchao Ni; Kai Zhang 001; Haifeng Chen; Guofei Jiang; Yu Shi 002; Xiang Zhang 001; Wei Wang 010 (ACM Trans. Knowl. Discov. Data, 2017)

Collaborative Alert Ranking for Anomaly Detection. - Ying Lin; Zhengzhang Chen; Cheng Cao; Lu-An Tang; Kai Zhang 001; Wei Cheng 002; Zhichun Li (CIKM, 2018)

On Multi-query Local Community Detection. - Yuchen Bian; Yaowei Yan; Wei Cheng 002; Wei Wang 010; Dongsheng Luo; Xiang Zhang 001 (ICDM, 2018)

Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection. - Bo Zong; Qi Song; Martin Renqiang Min; Wei Cheng 002; Cristian Lumezanu; Dae-ki Cho; Haifeng Chen (ICLR (Poster), 2018)

De-biasing Covariance-Regularized Discriminant Analysis. - Haoyi Xiong; Wei Cheng 002; Yanjie Fu; Wenqing Hu; Jiang Bian 003; Zhishan Guo (IJCAI, 2018)

Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval. - Dongjin Song; Ning Xia; Wei Cheng 002; Haifeng Chen; Dacheng Tao (KDD, 2018)

NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. - Wenchao Yu; Wei Cheng 002; Charu C. Aggarwal; Kai Zhang 001; Haifeng Chen; Wei Wang 010 (KDD, 2018)

Learning Deep Network Representations with Adversarially Regularized Autoencoders. - Wenchao Yu; Cheng Zheng 004; Wei Cheng 002; Charu C. Aggarwal; Dongjin Song; Bo Zong; Haifeng Chen; Wei Wang 010 (KDD, 2018)

Co-Regularized Deep Multi-Network Embedding. - Jingchao Ni; Shiyu Chang; Xiao Liu 039; Wei Cheng 002; Haifeng Chen; Dongkuan Xu; Xiang Zhang 001 (WWW, 2018)

Statistical testing and power analysis for brain-wide association study. - Weikang Gong; Lin Wan; Wenlian Lu; Liang Ma; Fan Cheng 003; Wei Cheng 002; Stefan Grünewald; Jianfeng Feng (Medical Image Anal., 2018)

ComClus: A Self-Grouping Framework for Multi-Network Clustering. - Jingchao Ni; Wei Cheng 002; Wei Fan 001; Xiang Zhang 001 (IEEE Trans. Knowl. Data Eng., 2018)

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. - Chuxu Zhang; Dongjin Song; Yuncong Chen; Xinyang Feng; Cristian Lumezanu; Wei Cheng 002; Jingchao Ni; Bo Zong; Haifeng Chen; Nitesh V. Chawla (AAAI, 2019)

Learning Robust Representations with Graph Denoising Policy Network. - Lu Wang 029; Wenchao Yu; Wei Wang 010; Wei Cheng 002; Wei Zhang 056; Hongyuan Zha; Xiaofeng He; Haifeng Chen (ICDM, 2019)

Adaptive Neural Network for Node Classification in Dynamic Networks. - Dongkuan Xu; Wei Cheng 002; Dongsheng Luo; Yameng Gu; Xiao Liu 039; Jingchao Ni; Bo Zong; Haifeng Chen; Xiang Zhang 001 (ICDM, 2019)

Self-Attentive Attributed Network Embedding Through Adversarial Learning. - Wenchao Yu; Wei Cheng 002; Charu C. Aggarwal; Bo Zong; Haifeng Chen; Wei Wang 010 (ICDM, 2019)

Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. - Dongkuan Xu; Wei Cheng 002; Dongsheng Luo; Xiao Liu 039; Xiang Zhang 001 (IJCAI, 2019)

Deep Co-Clustering. - Dongkuan Xu; Wei Cheng 002; Bo Zong; Jingchao Ni; Dongjin Song; Wenchao Yu; Yuncong Chen; Haifeng Chen; Xiang Zhang 001 (SDM, 2019)

Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results. - Zhaowen Liu; Edmund T. Rolls; Zhi Liu 004; Kai Zhang 001; Ming Yang; Jingnan Du; Weikang Gong; Wei Cheng 002; Fei Dai; He Wang 016; Kâmil Ugurbil; Jie Zhang 012; et al. (Bioinform., 2019)

The multi-walker chain and its application in local community detection. - Yuchen Bian; Jingchao Ni; Wei Cheng 002; Xiang Zhang 001 (Knowl. Inf. Syst., 2019)

Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach. - Liang Lan; Zhuang Wang; Shandian Zhe; Wei Cheng 002; Jun Wang 006; Kai Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

$ mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing. - Haoyi Xiong; Wei Cheng 002; Jiang Bian 003; Wenqing Hu; Zeyi Sun 001; Zhishan Guo (IEEE Trans. Neural Networks Learn. Syst., 2019)

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. - Xin Dong 010; Jingchao Ni; Wei Cheng 002; Zhengzhang Chen; Bo Zong; Dongjin Song; Yanchi Liu; Haifeng Chen; Gerard de Melo (AAAI, 2020)

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. - Dongkuan Xu; Wei Cheng 002; Bo Zong; Dongjin Song; Jingchao Ni; Wenchao Yu; Yanchi Liu; Haifeng Chen; Xiang Zhang 001 (AAAI, 2020)

Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. - Dixian Zhu; Dongjin Song; Yuncong Chen; Cristian Lumezanu; Wei Cheng 002; Bo Zong; Jingchao Ni; Takehiko Mizoguchi; Tianbao Yang; Haifeng Chen (AAAI, 2020)

T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. - Denghui Zhang; Yanchi Liu; Wei Cheng 002; Bo Zong; Jingchao Ni; Zhengzhang Chen; Haifeng Chen; Hui Xiong 001 (ICDM, 2020)

Inductive and Unsupervised Representation Learning on Graph Structured Objects. - Lichen Wang; Bo Zong; Qianqian Ma; Wei Cheng 002; Jingchao Ni; Wenchao Yu; Yanchi Liu; Dongjin Song; Haifeng Chen; Yun Fu 001 (ICLR, 2020)

Robust Graph Representation Learning via Neural Sparsification. - Cheng Zheng 004; Bo Zong; Wei Cheng 002; Dongjin Song; Jingchao Ni; Wenchao Yu; Haifeng Chen; Wei Wang 010 (ICML, 2020)

Super-Resolution Coding Defense Against Adversarial Examples. - Yanjie Chen; Likun Cai; Wei Cheng 002; Hao Wang 045 (ICMR, 2020)

You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. - Qi Wang 017; Wajih Ul Hassan; Ding Li 001; Kangkook Jee; Xiao Yu 007; Kexuan Zou; Junghwan Rhee; Zhengzhang Chen; Wei Cheng 002; Carl A. Gunter; Haifeng Chen (NDSS, 2020)

Parameterized Explainer for Graph Neural Network. - Dongsheng Luo; Wei Cheng 002; Dongkuan Xu; Wenchao Yu; Bo Zong; Haifeng Chen; Xiang Zhang 001 (NeurIPS, 2020)

Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution. - Cheng Zheng 004; Bo Zong; Wei Cheng 002; Dongjin Song; Jingchao Ni; Wenchao Yu; Haifeng Chen; Wei Wang 010 (ECML/PKDD (3), 2020)

Interpretable Click-Through Rate Prediction through Hierarchical Attention. - Zeyu Li 001; Wei Cheng 002; Yang Chen; Haifeng Chen; Wei Wang 010 (WSDM, 2020)

Temporal Context-Aware Representation Learning for Question Routing. - Xuchao Zhang; Wei Cheng 002; Bo Zong; Yuncong Chen; Jianwu Xu; Ding Li 001; Haifeng Chen (WSDM, 2020)

Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. - Lu Wang 029; Wenchao Yu; Xiaofeng He; Wei Cheng 002; Martin Renqiang Ren; Wei Wang 010; Bo Zong; Haifeng Chen; Hongyuan Zha (WWW, 2020)

Utilizing Amari-Alpha Divergence to Stabilize the Training of Generative Adversarial Networks. - Likun Cai; Yanjie Chen; Ning Cai; Wei Cheng 002; Hao Wang 045 (Entropy, 2020)

Memory-based random walk for multi-query local community detection. - Yuchen Bian; Dongsheng Luo; Yaowei Yan; Wei Cheng 002; Wei Wang 010; Xiang Zhang 001 (Knowl. Inf. Syst., 2020)

Correction to: Memory-based random walk for multi-query local community detection. - Yuchen Bian; Dongsheng Luo; Yaowei Yan; Wei Cheng 002; Wei Wang 010; Xiang Zhang 001 (Knowl. Inf. Syst., 2020)

Sensation-seeking is related to functional connectivities of the medial orbitofrontal cortex with the anterior cingulate cortex. - Zhuo Wan; Edmund T. Rolls; Wei Cheng 002; Jianfeng Feng (NeuroImage, 2020)

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. - Yinjun Wu; Jingchao Ni; Wei Cheng 002; Bo Zong; Dongjin Song; Zhengzhang Chen; Yanchi Liu; Xuchao Zhang; Haifeng Chen; Susan B. Davidson (AAAI, 2021)

Multi-Task Recurrent Modular Networks. - Dongkuan Xu; Wei Cheng 002; Xin Dong 010; Bo Zong; Wenchao Yu; Jingchao Ni; Dongjin Song; Xuchao Zhang; Haifeng Chen; Xiang Zhang 001 (AAAI, 2021)

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. - Dongkuan Xu; Junjie Liang; Wei Cheng 002; Hua Wei 001; Haifeng Chen; Xiang Zhang 001 (AAAI, 2021)

You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation. - Zeyu Li 001; Wei Cheng 002; Haiqi Xiao; Wenchao Yu; Haifeng Chen; Wei Wang 010 (CIKM, 2021)

Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. - Jingchao Ni; Zhengzhang Chen; Wei Cheng 002; Bo Zong; Dongjin Song; Yanchi Liu; Xuchao Zhang; Haifeng Chen (CIKM, 2021)

FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. - Liang Tong; Zhengzhang Chen; Jingchao Ni; Wei Cheng 002; Dongjin Song; Haifeng Chen; Yevgeniy Vorobeychik (CVPR, 2021)

Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction. - Zeyu Li 001; Wei Cheng 002; Reema Kshetramade; John Houser; Haifeng Chen; Wei Wang 010 (EMNLP (Findings), 2021)

Aspect-based Sentiment Classification via Reinforcement Learning. - Lichen Wang; Bo Zong; Yunyu Liu; Can Qin; Wei Cheng 002; Wenchao Yu; Xuchao Zhang; Haifeng Chen; Yun Fu 001 (ICDM, 2021)

Identifying Darknet Vendor Wallets by Matching Feedback Reviews with Bitcoin Transactions. - Xucan Chen; Wei Cheng 002; Marie Ouellet; Yuan Li 008; David Maimon; Yubao Wu (ICDM (Workshops), 2021)

Unsupervised Concept Representation Learning for Length-Varying Text Similarity. - Xuchao Zhang; Bo Zong; Wei Cheng 002; Jingchao Ni; Yanchi Liu; Haifeng Chen (NAACL-HLT, 2021)

InfoGCL: Information-Aware Graph Contrastive Learning. - Dongkuan Xu; Wei Cheng 002; Dongsheng Luo; Haifeng Chen; Xiang Zhang 001 (NeurIPS, 2021)

Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. - Dongkuan Xu; Wei Cheng 002; Jingchao Ni; Dongsheng Luo; Masanao Natsumeda; Dongjin Song; Bo Zong; Haifeng Chen; Xiang Zhang 001 (SDM, 2021)

Learning to Drop: Robust Graph Neural Network via Topological Denoising. - Dongsheng Luo; Wei Cheng 002; Wenchao Yu; Bo Zong; Jingchao Ni; Haifeng Chen; Xiang Zhang 001 (WSDM, 2021)

Unsupervised Document Embedding via Contrastive Augmentation. - Dongsheng Luo; Wei Cheng 002; Jingchao Ni; Wenchao Yu; Xuchao Zhang; Bo Zong; Yanchi Liu; Zhengzhang Chen; Dongjin Song; Haifeng Chen; Xiang Zhang 001 (CoRR, 2021)

Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? - Junxiang Wang; Xuchao Zhang; Bo Zong; Yanchi Liu; Wei Cheng 002; Jingchao Ni; Haifeng Chen; Liang Zhao 002 (CoRR, 2021)

Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age. - Lu Zhang; Jiajia Zhao; Qunjie Zhou; Zhaowen Liu; Yi Zhang; Wei Cheng 002; Weikang Gong; Xiaoping Hu; Wenlian Lu; Edward T. Bullmore; Chun-Yi Zac Lo; Jianfeng Feng (NeuroImage, 2021)

Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. - Liyan Xu; Xuchao Zhang; Bo Zong; Yanchi Liu; Wei Cheng 002; Jingchao Ni; Haifeng Chen; Liang Zhao 002; Jinho D. Choi (AAAI, 2022)

Deep Federated Anomaly Detection for Multivariate Time Series Data. - Wei Zhu 015; Dongjin Song; Yuncong Chen; Wei Cheng 002; Bo Zong; Takehiko Mizoguchi; Cristian Lumezanu; Haifeng Chen; Jiebo Luo 001 (IEEE Big Data, 2022)

DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning. - Zeyu Ma 001; Yuhang Guo 002; Xiao Luo 001; Chong Chen 002; Minghua Deng; Wei Cheng 002; Guangming Lu 002 (ICASSP, 2022)

Seed: Sound Event Early Detection Via Evidential Uncertainty. - Xujiang Zhao; Xuchao Zhang; Wei Cheng 002; Wenchao Yu; Yuncong Chen; Haifeng Chen; Feng Chen 001 (ICASSP, 2022)

Personalized Federated Learning via Heterogeneous Modular Networks. - Tianchun Wang; Wei Cheng 002; Dongsheng Luo; Wenchao Yu; Jingchao Ni; Liang Tong; Haifeng Chen; Xiang Zhang 001 (ICDM, 2022)

Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings. - Jingchao Ni; Wei Cheng 002; Zhengzhang Chen; Takayoshi Asakura; Tomoya Soma; Sho Kato; Haifeng Chen (ICLR, 2022)

CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences. - Shengming Zhang; Yanchi Liu; Xuchao Zhang; Wei Cheng 002; Haifeng Chen; Hui Xiong 001 (KDD, 2022)

A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies. - Zeyu Jiao; Yinglei Lai; Jujiao Kang; Weikang Gong; Liang Ma; Tianye Jia; Chao Xie; Shitong Xiang; Wei Cheng 002; Andreas Heinz; Sylvane Desrivières; Gunter Schumann; et al. (NeuroImage, 2022)

Risk-taking in humans and the medial orbitofrontal cortex reward system. - Edmund T. Rolls; Zhuo Wan; Wei Cheng 002; Jianfeng Feng (NeuroImage, 2022)

Improve Deep Unsupervised Hashing via Structural and Intrinsic Similarity Learning. - Xiao Luo 001; Zeyu Ma 001; Wei Cheng 002; Minghua Deng (IEEE Signal Process. Lett., 2022)

Time Series Contrastive Learning with Information-Aware Augmentations. - Dongsheng Luo; Wei Cheng 002; Yingheng Wang; Dongkuan Xu; Jingchao Ni; Wenchao Yu; Xuchao Zhang; Yanchi Liu; Yuncong Chen; Haifeng Chen; Xiang Zhang 001 (AAAI, 2023)

Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. - Yushan Jiang; Wenchao Yu; Dongjin Song; Wei Cheng 002; Haifeng Chen (CISS, 2023)

Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models. - Jianwei Li 004; Qi Lei; Wei Cheng 002; Dongkuan Xu (EMNLP, 2023)

Open-ended Commonsense Reasoning with Unrestricted Answer Candidates. - Chen Ling 003; Xuchao Zhang; Xujiang Zhao; Yanchi Liu; Wei Cheng 002; Mika Oishi; Takao Osaki; Katsushi Matsuda; Haifeng Chen; Liang Zhao 002 (EMNLP (Findings), 2023)

Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning. - Masanao Natsumeda; Takehiko Mizoguchi; Wei Cheng 002; Yuncong Chen; Haifeng Chen (FUSION, 2023)

GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection. - Yufei Li 001; Yanchi Liu; Haoyu Wang; Zhengzhang Chen; Wei Cheng 002; Yuncong Chen; Wenchao Yu; Haifeng Chen; Cong Liu 005 (ICKG, 2023)

Personalized Federated Learning under Mixture of Distributions. - Yue Wu; Shuaicheng Zhang; Wenchao Yu; Yanchi Liu; Quanquan Gu; Dawei Zhou 003; Haifeng Chen; Wei Cheng 002 (ICML, 2023)

FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. - Yushan Jiang; Wenchao Yu; Dongjin Song; Lu Wang 029; Wei Cheng 002; Haifeng Chen (KDD, 2023)

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (KDD, 2023)

Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. - Yizhou Zhang; Jingchao Ni; Wei Cheng 002; Zhengzhang Chen; Liang Tong; Haifeng Chen; Yan Liu 002 (NeurIPS, 2023)

Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization. - Xianjun Yang; Yan Li; Xinlu Zhang; Haifeng Chen; Wei Cheng 002 (CoRR, 2023)

Dynamic Prompting: A Unified Framework for Prompt Tuning. - Xianjun Yang; Wei Cheng 002; Xujiang Zhao; Linda R. Petzold; Haifeng Chen (CoRR, 2023)

DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. - Xianjun Yang; Wei Cheng 002; Linda R. Petzold; William Yang Wang; Haifeng Chen (CoRR, 2023)

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. - Chen Ling 003; Xujiang Zhao; Jiaying Lu 001; Chengyuan Deng; Can Zheng; Junxiang Wang; Tanmoy Chowdhury; Yun Li 005; Hejie Cui; Xuchao Zhang; Tianjiao Zhao; Amit Panalkar; et al. (CoRR, 2023)

Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty. - Chen Ling 003; Xujiang Zhao; Xuchao Zhang; Yanchi Liu; Wei Cheng 002; Haoyu Wang; Zhengzhang Chen; Takao Osaki; Katsushi Matsuda; Haifeng Chen; Liang Zhao 002 (CoRR, 2023)

Dynamic DAG Discovery for Interpretable Imitation Learning. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (CoRR, 2023)

Large Language Models Can Be Good Privacy Protection Learners. - Yijia Xiao; Yiqiao Jin; Yushi Bai; Yue Wu; Xianjun Yang; Xiao Luo 001; Wenchao Yu; Xujiang Zhao; Yanchi Liu; Haifeng Chen; Wei Wang 010; Wei Cheng 002 (CoRR, 2023)

Zero-Shot Detection of Machine-Generated Codes. - Xianjun Yang; Kexun Zhang; Haifeng Chen; Linda R. Petzold; William Yang Wang; Wei Cheng 002 (CoRR, 2023)

Open-ended Commonsense Reasoning with Unrestricted Answer Scope. - Chen Ling 003; Xuchao Zhang; Xujiang Zhao; Yanchi Liu; Wei Cheng 002; Mika Oishi; Takao Osaki; Katsushi Matsuda; Haifeng Chen; Liang Zhao 002 (CoRR, 2023)

DyExplainer: Explainable Dynamic Graph Neural Networks. - Tianchun Wang; Dongsheng Luo; Wei Cheng 002; Haifeng Chen; Xiang Zhang 001 (CoRR, 2023)

Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation. - Junxiang Wang; Guangji Bai; Wei Cheng 002; Zhengzhang Chen; Liang Zhao 002; Haifeng Chen (CoRR, 2023)

Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders. - Bang-Sheng Wu; Yi-Jun Ge; Wei Zhang 056; Shi-Dong Chen; Shitong Xiang; Ya-Ru Zhang; Ya-Nan Ou; Yu-Chao Jiang; Lan Tan; Wei Cheng 002; John Suckling; Jianfeng Feng; et al. (NeuroImage, 2023)

Fractionation of neural reward processing into independent components by novel decoding principle. - Shitong Xiang; Tianye Jia; Chao Xie; Zhichao Zhu; Wei Cheng 002; Gunter Schumann; Trevor W. Robbins; Jianfeng Feng (NeuroImage, 2023)

TrustAgent: Towards Safe and Trustworthy LLM-based Agents. - Wenyue Hua; Xianjun Yang; Mingyu Jin; Zelong Li; Wei Cheng 002; Ruixiang Tang; Yongfeng Zhang (EMNLP (Findings), 2024)

InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. - Fali Wang; Runxue Bao; Suhang Wang; Wenchao Yu; Yanchi Liu; Wei Cheng 002; Haifeng Chen (EMNLP (Findings), 2024)

Large Language Models Can Be Contextual Privacy Protection Learners. - Yijia Xiao; Yiqiao Jin; Yushi Bai; Yue Wu; Xianjun Yang; Xiao Luo 001; Wenchao Yu; Xujiang Zhao; Yanchi Liu; Quanquan Gu; Haifeng Chen; Wei Wang 010; et al. (EMNLP, 2024)

A Survey on Detection of LLMs-Generated Content. - Xianjun Yang; Liangming Pan; Xuandong Zhao; Haifeng Chen; Linda R. Petzold; William Yang Wang; Wei Cheng 002 (EMNLP (Findings), 2024)

DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. - Xianjun Yang; Wei Cheng 002; Yue Wu; Linda Ruth Petzold; William Yang Wang; Haifeng Chen (ICLR, 2024)

Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. - Xu Zheng 003; Farhad Shirani 001; Tianchun Wang; Wei Cheng 002; Zhuomin Chen; Haifeng Chen; Hua Wei 001; Dongsheng Luo (ICLR, 2024)

Parametric Augmentation for Time Series Contrastive Learning. - Xu Zheng 003; Tianchun Wang; Wei Cheng 002; Aitian Ma; Haifeng Chen; Mo Sha 001; Dongsheng Luo (ICLR, 2024)

DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton. - Yiyou Sun; Junjie Hu; Wei Cheng 002; Haifeng Chen (ICML, 2024)

POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. - Junxiang Wang; Guangji Bai; Wei Cheng 002; Zhengzhang Chen; Liang Zhao 002; Haifeng Chen (KDD, 2024)

Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization. - Haohui Wang; Baoyu Jing; Kaize Ding; Yada Zhu; Wei Cheng 002; Si Zhang; Yonghui Fan; Liqing Zhang 002; Dawei Zhou 003 (KDD, 2024)

Uncertainty Quantification for In-Context Learning of Large Language Models. - Chen Ling 003; Xujiang Zhao; Xuchao Zhang; Wei Cheng 002; Yanchi Liu; Yiyou Sun; Mika Oishi; Takao Osaki; Katsushi Matsuda; Jie Ji; Guangji Bai; Liang Zhao 002; et al. (NAACL-HLT, 2024)

Pruning as a Domain-specific LLM Extractor. - Nan Zhang; Yanchi Liu; Xujiang Zhao; Wei Cheng 002; Runxue Bao; Rui Zhang 037; Prasenjit Mitra; Haifeng Chen (NAACL-HLT (Findings), 2024)

Protecting Your LLMs with Information Bottleneck. - Zichuan Liu; Zefan Wang; Linjie Xu; Jinyu Wang; Lei Song 001; Tianchun Wang; Chunlin Chen; Wei Cheng 002; Jiang Bian 002 (NeurIPS, 2024)

DALD: Improving Logits-based Detector without Logits from Black-box LLMs. - Cong Zeng; Shengkun Tang; Xianjun Yang; Yuanzhou Chen; Yiyou Sun; Zhiqiang Xu; Yao Li 015; Haifeng Chen; Wei Cheng 002; Dongkuan Xu (NeurIPS, 2024)

Interpretable Imitation Learning with Dynamic Causal Relations. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (WSDM, 2024)

TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution. - Wenyue Hua; Xianjun Yang; Zelong Li; Wei Cheng 002; Yongfeng Zhang (CoRR, 2024)

Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton. - Yiyou Sun; Junjie Hu; Wei Cheng 002; Haifeng Chen (CoRR, 2024)

PAC Learnability under Explanation-Preserving Graph Perturbations. - Xu Zheng 003; Farhad Shirani 001; Tianchun Wang; Shouwei Gao; Wenqian Dong; Wei Cheng 002; Dongsheng Luo (CoRR, 2024)

Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. - Chen Ling 003; Xujiang Zhao; Wei Cheng 002; Yanchi Liu; Yiyou Sun; Xuchao Zhang; Mika Oishi; Takao Osaki; Katsushi Matsuda; Jie Ji; Guangji Bai; Liang Zhao 002; et al. (CoRR, 2024)

Improving Logits-based Detector without Logits from Black-box LLMs. - Cong Zeng; Shengkun Tang; Xianjun Yang; Yuanzhou Chen; Yiyou Sun; Zhiqiang Xu; Yao Li 015; Haifeng Chen; Wei Cheng 002; Dongkuan Xu (CoRR, 2024)

Scattered Forest Search: Smarter Code Space Exploration with LLMs. - Jonathan Light; Yue Wu; Yiyou Sun; Wenchao Yu; Yanchi Liu; Xujiang Zhao; Ziniu Hu; Haifeng Chen; Wei Cheng 002 (CoRR, 2024)

SAUP: Situation Awareness Uncertainty Propagation on LLM Agent. - Qiwei Zhao; Xujiang Zhao; Yanchi Liu; Wei Cheng 002; Yiyou Sun; Mika Oishi; Takao Osaki; Katsushi Matsuda; Huaxiu Yao; Haifeng Chen (CoRR, 2024)

Towards Inductive and Efficient Explanations for Graph Neural Networks. - Dongsheng Luo; Tianxiang Zhao 001; Wei Cheng 002; Dongkuan Xu; Feng Han; Wenchao Yu; Xiao Liu 039; Haifeng Chen; Xiang Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents. - Geon Lee; Wenchao Yu; Kijung Shin; Wei Cheng 002; Haifeng Chen (AAAI, 2025)

Uncertainty Propagation on LLM Agent. - Qiwei Zhao; Dong Li; Yanchi Liu; Wei Cheng 002; Yiyou Sun; Mika Oishi; Takao Osaki; Katsushi Matsuda; Huaxiu Yao; Chen Zhao; Haifeng Chen; Xujiang Zhao (ACL (1), 2025)

Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content. - Haoyue Bai 002; Yiyou Sun; Wei Cheng 002; Haifeng Chen (CVPR, 2025)

F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI. - Xu Zheng 003; Farhad Shirani 001; Zhuomin Chen; Chaohao Lin; Wei Cheng 002; Wenbo Guo 002; Dongsheng Luo (ICLR, 2025)

Chain-of-region: Visual Language Models Need Details for Diagram Analysis. - Xue Li; Yiyou Sun; Wei Cheng 002; Yinglun Zhu; Haifeng Chen (ICLR, 2025)

SFS: Smarter Code Space Search improves LLM Inference Scaling. - Jonathan Light; Yue Wu; Yiyou Sun; Wenchao Yu; Yanchi Liu; Xujiang Zhao; Ziniu Hu; Haifeng Chen; Wei Cheng 002 (ICLR, 2025)

Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. - Tianchun Wang; Yuanzhou Chen; Zichuan Liu; Zhanwen Chen; Haifeng Chen; Xiang Zhang 001; Wei Cheng 002 (ICLR, 2025)

MixLLM: Dynamic Routing in Mixed Large Language Models. - Xinyuan Wang 011; Yanchi Liu; Wei Cheng 002; Xujiang Zhao; Zhengzhang Chen; Wenchao Yu; Yanjie Fu; Haifeng Chen (NAACL (Long Papers), 2025)

Position Really Matters: Towards a Holistic Approach for Prompt Tuning. - Xianjun Yang; Wei Cheng 002; Xujiang Zhao; Wenchao Yu; Linda Ruth Petzold; Haifeng Chen (NAACL (Findings), 2025)

DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions. - Tianchun Wang; Dongsheng Luo; Wei Cheng 002; Haifeng Chen; Xiang Zhang 001 (ACM Trans. Knowl. Discov. Data, 2025)

Harnessing Vision Models for Time Series Analysis: A Survey. - Jingchao Ni; Ziming Zhao 016; ChengAo Shen; Hanghang Tong; Dongjin Song; Wei Cheng 002; Dongsheng Luo; Haifeng Chen (CoRR, 2025)

Diversified Sampling Improves Scaling LLM inference. - Tianchun Wang; Zichuan Liu; Yuanzhou Chen; Jonathan Light; Haifeng Chen; Xiang Zhang 001; Wei Cheng 002 (CoRR, 2025)

DISC: Dynamic Decomposition Improves LLM Inference Scaling. - Jonathan Light; Wei Cheng 002; Yue Wu; Masafumi Oyamada; Mengdi Wang; Santiago Paternain; Haifeng Chen (CoRR, 2025)

Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop. - Yushan Jiang; Wenchao Yu; Geon Lee; Dongjin Song; Kijung Shin; Wei Cheng 002; Yanchi Liu; Haifeng Chen (CoRR, 2025)

LM2otifs : An Explainable Framework for Machine-Generated Texts Detection. - Xu Zheng 003; Zhuomin Chen; Esteban Schafir; Sipeng Chen; Hojat Allah Salehi; Haifeng Chen; Farhad Shirani 001; Wei Cheng 002; Dongsheng Luo (CoRR, 2025)

Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting. - ChengAo Shen; Wenchao Yu; Ziming Zhao 016; Dongjin Song; Wei Cheng 002; Haifeng Chen; Jingchao Ni (CoRR, 2025)

SF2Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida. - Xu Zheng 003; Chaohao Lin; Sipeng Chen; Zhuomin Chen; Jimeng Shi; Wei Cheng 002; Jayantha Obeysekera; Jason Liu; Dongsheng Luo (CoRR, 2025)

DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router. - Minghao Guo; Qingcheng Zeng; Xujiang Zhao; Yanchi Liu; Wenchao Yu; Mengnan Du; Haifeng Chen; Wei Cheng 002 (CoRR, 2025)