Jian Pei

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 280

Top Venues

CoRR

KDD

Proc. VLDB Endow.

IEEE Trans. Knowl. Data Eng.

Publications

He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends. Proc. IEEE 112 (2) (2024)
João Matos, Jack Gallifant, Jian Pei, A. Ian Wong
EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models. CoRR (2024)
Feida Zhu, Jian Pei, Michael Zeller, Bingxue Zhang
The Fourth International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD'24). KDD (2024)
Xuan Luo, Jian Pei, Cheng Xu, Wenjie Zhang, Jianliang Xu
Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games. Proc. ACM Manag. Data 2 (1) (2024)
Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou
A Comprehensive Survey on Data Augmentation. CoRR (2024)
Zicun Cong, Baoxu Shi, Shan Li, Jaewon Yang, Qi He, Jian Pei
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently. CoRR (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Zicun Cong, Baoxu Shi, Shan Li, Jaewon Yang, Qi He, Jian Pei
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Kai Shen, Lingfei Wu, Siliang Tang, Fangli Xu, Bo Long, Yueting Zhuang, Jian Pei
Ask Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-reference. CoRR (2024)
Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei
Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. Proc. VLDB Endow. 17 (5) (2024)
Minxing Zhang, Jian Pei
Protecting Data Buyer Privacy in Data Markets. CoRR (2024)
Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu
Linear-Time Graph Neural Networks for Scalable Recommendations. WWW (2024)
Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu
Linear-Time Graph Neural Networks for Scalable Recommendations. CoRR (2024)
Naili Xing, Shaofeng Cai, Zhaojing Luo, Beng Chin Ooi, Jian Pei
Anytime Neural Architecture Search on Tabular Data. CoRR (2024)
Xuan Luo, Jian Pei
Applications and Computation of the Shapley Value in Databases and Machine Learning. SIGMOD Conference Companion (2024)
Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang, Rong Ge, Jian Pei, Neil Zhenqiang Gong, Bhuwan Dhingra
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods. CoRR (2024)
Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu
Powering In-Database Dynamic Model Slicing for Structured Data Analytics. CoRR (2024)
Jian Pei, Fukang Zhu
Marginal likelihood estimation for the negative binomial INGARCH model. Commun. Stat. Simul. Comput. 53 (4) (2024)
Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang
Fair and Efficient Contribution Valuation for Vertical Federated Learning. ICLR (2024)
Minxing Zhang, Jian Pei
Protecting Data Buyer Privacy in Data Markets. IEEE Internet Comput. 28 (4) (2024)
Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Chenyu You, Jianhui Chang, Daxin Jiang, Jia Li
Bridge the Gap between Language models and Tabular Understanding. CoRR (2023)
Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Jian Pei, Daxin Jiang
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. CoRR (2023)
Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Jian Pei, Daxin Jiang
Instructed Language Models with Retrievers Are Powerful Entity Linkers. CoRR (2023)
Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. SIGIR-AP (2023)
Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li
Alleviating Over-smoothing for Unsupervised Sentence Representation. CoRR (2023)
Hui Li, Xin Tan, Qingbin Jiao, Yuhang Li, Siqi Liu, Jian Pei, Jiahang Zhang, Wei Zhang, Liang Xu
Design and Study of a Reflector-Separated Light Dispersion-Compensated 3D Microscopy System. Sensors 23 (9) (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Lianghao Xia, Chao Huang, Yong Xu, Jian Pei
Multi-Behavior Sequential Recommendation With Temporal Graph Transformer. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 46 (4) (2023)
Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. KDD (2023)
Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. ICML (2023)
Huijia Li, Wenzhe Xu, Chenyang Qiu, Jian Pei
Fast Markov Clustering Algorithm Based on Belief Dynamics. IEEE Trans. Cybern. 53 (6) (2023)
Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach With Linear Convergence. IEEE Trans. Autom. Control. 68 (8) (2023)
Nuo Chen, Linjun Shou, Tengtao Song, Ming Gong, Jian Pei, Jianhui Chang, Daxin Jiang, Jia Li
Structural Contrastive Pretraining for Cross-Lingual Comprehension. ACL (Findings) (2023)
Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui
Factual Observation Based Heterogeneity Learning for Counterfactual Prediction. CLeaR (2023)
Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. AAAI (2023)
Ziwei Zhang, Chenhao Niu, Peng Cui, Jian Pei, Bo Zhang, Wenwu Zhu
Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). KDD (2023)
Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. CoRR (2023)
Jian Pei, Gang Wang, Dominic K. C. Ho, Lei Huang
Reducing Bias for Multistatic Localization of a Moving Object by Transmitter at Unknown Position. IEEE Trans. Aerosp. Electron. Syst. 59 (5) (2023)
Honglu Jiang, Jian Pei, Dongxiao Yu, Jiguo Yu, Bei Gong, Xiuzhen Cheng
Applications of Differential Privacy in Social Network Analysis: A Survey. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. CoRR (2023)
Haolun Shi, Mohammad A. Tayebi, Jian Pei, Jiguo Cao
Cost-Sensitive Learning for Medical Insurance Fraud Detection With Temporal Information. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Jiayao Zhang, Haocheng Xia, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren
Dynamic Shapley Value Computation. ICDE (2023)
Jie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui
Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping. WWW (2023)
Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. CDPD (2023)
Jian Pei, Raul Castro Fernandez, Xiaohui Yu
Data and AI Model Markets: Opportunities for Data and Model Sharing, Discovery, and Integration. Proc. VLDB Endow. 16 (12) (2023)
Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. CIKM (2023)
Jian Pei, Liang Xu, Yitong Huang, Qingbin Jiao, Mingyu Yang, Ding Ma, Sijia Jiang, Hui Li, Yuhang Li, Siqi Liu, Wei Zhang, Jiahang Zhang, Xin Tan
A Two-Step Simulated Annealing Algorithm for Spectral Data Feature Extraction. Sensors 23 (2) (2023)
Ruihong Huang, Jianmin Wang, Shaoxu Song, Xuemin Lin, Xiaochen Zhu, Jian Pei
Efficiently Cleaning Structured Event Logs: A Graph Repair Approach. ACM Trans. Database Syst. 48 (1) (2023)
Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao
Knowledge-enhanced Neural Machine Reasoning: A Review. CoRR (2023)
Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long
Graph Neural Networks for Natural Language Processing: A Survey. Found. Trends Mach. Learn. 16 (2) (2023)
Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. CoRR (2023)
Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
Graph Neural Networks: Foundation, Frontiers and Applications. KDD (2023)
Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu
Identify Event Causality with Knowledge and Analogy. AAAI (2023)
Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei
Disentangled Graph Social Recommendation. ICDE (2023)
Jian Pei, Gang Wang, K. C. Ho, Lei Huang
Bias Reduced Semidefinite Relaxation Method for Multistatic Localization in the Absence of Transmitter Position And Its Synchronization. ICASSP (2023)
Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. CoRR (2023)
Huanfei Wang, Qian Zhu, Jian Pei
Clinical Assessment of Pneumocystosis with MIMIC Data. BIBM (2023)
Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. CoRR (2023)
Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei
Disentangled Graph Social Recommendation. CoRR (2023)
Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Jia Li, Daxin Jiang
Alleviating Over-smoothing for Unsupervised Sentence Representation. ACL (1) (2023)
Jiayao Zhang, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren
Efficient Sampling Approaches to Shapley Value Approximation. Proc. ACM Manag. Data 1 (1) (2023)
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR (2023)
Honglu Jiang, Haotian Yu, Xiuzhen Cheng, Jian Pei, Robert Pless, Jiguo Yu
DP2-Pub: Differentially Private High-Dimensional Data Publication With Invariant Post Randomization. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Nuo Chen, Linjun Shou, Ming Gong, Jian Pei
From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension. AAAI (2022)
Saeed Ranjbar Alvar, Lanjun Wang, Jian Pei, Yong Zhang
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation. CoRR (2022)
Honglu Jiang, Haotian Yu, Xiuzhen Cheng, Jian Pei, Robert Pless, Jiguo Yu
DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization. CoRR (2022)
Mohit Bajaj, Lingyang Chu, Vittorio Romaniello, Gursimran Singh, Jian Pei, Zirui Zhou, Lanjun Wang, Yong Zhang
Revealing Unfair Models by Mining Interpretable Evidence. CoRR (2022)
Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. CoRR (2022)
Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou
TrustLOG: The First Workshop on Trustworthy Learning on Graphs. CIKM (2022)
Xuan Luo, Jian Pei, Zicun Cong, Cheng Xu
On Shapley Value in Data Assemblage Under Independent Utility. CoRR (2022)
Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang
Fair and efficient contribution valuation for vertical federated learning. CoRR (2022)
Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang
Improving Fairness for Data Valuation in Horizontal Federated Learning. ICDE (2022)
Shengyao Zhuang, Houxing Ren, Linjun Shou, Jian Pei, Ming Gong, Guido Zuccon, Daxin Jiang
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation. CoRR (2022)
Yuan Meng, Yancheng Dong, Shixuan Liu, Chaohao Yuan, Yue He, Jian Pei, Peng Cui
Distilling Causal Metaknowledge from Knowledge Graphs. IEEE Data Eng. Bull. 45 (4) (2022)
Haixin Wang, Cheng Xu, Ce Zhang, Jianliang Xu, Zhe Peng, Jian Pei
vChain+: Optimizing Verifiable Blockchain Boolean Range Queries. ICDE (2022)
Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization. J. Mach. Learn. Res. 23 (2022)
Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. NeurIPS (2022)
Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang
Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. ICDM (2022)
Jian Pei
A Survey on Data Pricing: From Economics to Data Science. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
Graph Neural Networks: Foundation, Frontiers and Applications. KDD (2022)
Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. ICDE (2022)
Zicun Cong, Xuan Luo, Jian Pei, Feida Zhu, Yong Zhang
Data pricing in machine learning pipelines. Knowl. Inf. Syst. 64 (6) (2022)
Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang
Cosine Model Watermarking against Ensemble Distillation. AAAI (2022)
He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei
Trustworthy Graph Neural Networks: Aspects, Methods and Trends. CoRR (2022)
Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). KDD (2022)
Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. WSDM (2022)
Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. CoRR (2022)
Jay Xu, Jian Pei, Zicun Cong
Finding Multidimensional Simpson's Paradox. SIGKDD Explor. 24 (2) (2022)
Yanfu Zhang, Hongchang Gao, Jian Pei, Heng Huang
Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction. WWW (2022)
Lianghao Xia, Chao Huang, Yong Xu, Jian Pei
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer. CoRR (2022)
Junyi Li, Jian Pei, Heng Huang
Communication-Efficient Robust Federated Learning with Noisy Labels. KDD (2022)
Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang
Mining Minority-Class Examples with Uncertainty Estimates. MMM (1) (2022)
Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang
Transformer-Empowered Content-Aware Collaborative Filtering. CoRR (2022)
Hui-Jia Li, Zhen Wang, Jie Cao, Jian Pei, Yong Shi
Optimal Estimation of Low-Rank Factors via Feature Level Data Fusion of Multiplex Signal Systems. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang
Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. CoRR (2022)
Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. CoRR (2022)
Junyi Li, Jian Pei, Heng Huang
Communication-Efficient Robust Federated Learning with Noisy Labels. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jian Pei