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- affiliation: Simon Fraser University, Burnaby, Canada
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2020 – today
- 2023
[j171]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): 119-328 (2023)- [j170]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): 893 (2023) - [j169]Huijia Li, Wenzhe Xu, Chenyang Qiu, Jian Pei:
Fast Markov Clustering Algorithm Based on Belief Dynamics. IEEE Trans. Cybern. 53(6): 3716-3725 (2023) - [j168]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): 108-127 (2023) - [j167]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): 2544-2555 (2023) - [j166]Lianghao Xia, Chao Huang, Yong Xu, Jian Pei:
Multi-Behavior Sequential Recommendation With Temporal Graph Transformer. IEEE Trans. Knowl. Data Eng. 35(6): 6099-6112 (2023) - [j165]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): 6182-6193 (2023) - [j164]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): 3:1-3:44 (2023) - [c258]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: 648-658 - [c257]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: 1220-1230 - [i80]Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu:
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. CoRR abs/2302.01503 (2023) - [i79]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) - [i78]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 abs/2302.09302 (2023) - [i77]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 abs/2302.09419 (2023) - [i76]Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei:
Disentangled Graph Social Recommendation. CoRR abs/2303.07810 (2023) - [i75]Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang:
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. CoRR abs/2303.14979 (2023) - [i74]Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang:
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. CoRR abs/2304.08138 (2023) - [i73]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li:
Alleviating Over-smoothing for Unsupervised Sentence Representation. CoRR abs/2305.06154 (2023) - 2022
- [j163]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): 102-121 (2022) - [j162]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: 36:1-36:70 (2022) - [j161]Zicun Cong, Xuan Luo, Jian Pei, Feida Zhu, Yong Zhang:
Data pricing in machine learning pipelines. Knowl. Inf. Syst. 64(6): 1417-1455 (2022) - [j160]Xuan Luo, Jian Pei, Zicun Cong, Cheng Xu:
On Shapley Value in Data Assemblage Under Independent Utility. Proc. VLDB Endow. 15(11): 2761-2773 (2022) - [j159]Lin Yang, Zhenyu Ma, Siqi Liu, Qingbin Jiao, Jiahang Zhang, Wei Zhang, Jian Pei, Hui Li, Yuhang Li, Yubo Zou, Yuxing Xu, Xin Tan:
Study of the Off-Axis Fresnel Zone Plate of a Microscopic Tomographic Aberration. Sensors 22(3): 1113 (2022) - [j158]Jay Xu, Jian Pei, Zicun Cong:
Finding Multidimensional Simpson's Paradox. SIGKDD Explor. 24(2): 48-60 (2022) - [j157]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): 2860-2871 (2022) - [j156]Jian Pei:
A Survey on Data Pricing: From Economics to Data Science. IEEE Trans. Knowl. Data Eng. 34(10): 4586-4608 (2022) - [c256]Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang:
Cosine Model Watermarking against Ensemble Distillation. AAAI 2022: 9512-9520 - [c255]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei:
From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension. AAAI 2022: 10501-10508 - [c254]Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou:
TrustLOG: The First Workshop on Trustworthy Learning on Graphs. CIKM 2022: 5169-5170 - [c253]Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang:
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. EMNLP (Findings) 2022: 444-459 - [c252]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. EMNLP 2022: 9903-9918 - [c251]Haixin Wang, Cheng Xu, Ce Zhang, Jianliang Xu, Zhe Peng, Jian Pei:
vChain+: Optimizing Verifiable Blockchain Boolean Range Queries. ICDE 2022: 1927-1940 - [c250]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: 2440-2453 - [c249]Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei:
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. ICDE 2022: 2984-2996 - [c248]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: 1317-1322 - [c247]Junyi Li, Jian Pei, Heng Huang:
Communication-Efficient Robust Federated Learning with Noisy Labels. KDD 2022: 914-924 - [c246]Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang:
Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks. KDD 2022: 2515-2523 - [c245]Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo:
Graph Neural Networks: Foundation, Frontiers and Applications. KDD 2022: 4840-4841 - [c244]Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo:
Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). KDD 2022: 4906-4907 - [c243]Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang:
Mining Minority-Class Examples with Uncertainty Estimates. MMM (1) 2022: 258-271 - [c242]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang:
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. NAACL-HLT 2022: 1909-1923 - [c241]Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei:
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. NeurIPS 2022 - [c240]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. KaRS@RecSys 2022: 45-52 - [c239]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. KaRS@RecSys 2022: 53-64 - [c238]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: 775-783 - [c237]Yanfu Zhang, Hongchang Gao, Jian Pei, Heng Huang:
Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction. WWW 2022: 1352-1361 - [c236]Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei:
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. WWW 2022: 2153-2162 - [i72]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang:
Fair and efficient contribution valuation for vertical federated learning. CoRR abs/2201.02658 (2022) - [i71]Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang:
Cosine Model Watermarking Against Ensemble Distillation. CoRR abs/2203.02777 (2022) - [i70]Saeed Ranjbar Alvar, Lanjun Wang, Jian Pei, Yong Zhang:
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation. CoRR abs/2203.05212 (2022) - [i69]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. CoRR abs/2204.00849 (2022) - [i68]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang:
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. CoRR abs/2204.05210 (2022) - [i67]Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei:
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. CoRR abs/2204.08587 (2022) - [i66]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 abs/2205.03656 (2022) - [i65]He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei:
Trustworthy Graph Neural Networks: Aspects, Methods and Trends. CoRR abs/2205.07424 (2022) - [i64]Lianghao Xia, Chao Huang, Yong Xu, Jian Pei:
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer. CoRR abs/2206.02687 (2022) - [i63]Junyi Li, Jian Pei, Heng Huang:
Communication-Efficient Robust Federated Learning with Noisy Labels. CoRR abs/2206.05558 (2022) - [i62]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 abs/2206.10128 (2022) - [i61]Mohit Bajaj, Lingyang Chu, Vittorio Romaniello, Gursimran Singh, Jian Pei, Zirui Zhou, Lanjun Wang, Yong Zhang:
Revealing Unfair Models by Mining Interpretable Evidence. CoRR abs/2207.05811 (2022) - [i60]Xuan Luo, Jian Pei, Zicun Cong, Cheng Xu:
On Shapley Value in Data Assemblage Under Independent Utility. CoRR abs/2208.01163 (2022) - [i59]Zhenan Fan, Zirui Zhou, Jian Pei, Michael P. Friedlander, Jiajie Hu, Chengliang Li, Yong Zhang:
Knowledge-Injected Federated Learning. CoRR abs/2208.07530 (2022) - [i58]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 abs/2208.11693 (2022) - [i57]Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei:
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. CoRR abs/2210.02330 (2022) - 2021
- [j155]Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian:
Model complexity of deep learning: a survey. Knowl. Inf. Syst. 63(10): 2585-2619 (2021) - [j154]Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(6): 957-969 (2021) - [j153]Zicun Cong, Lingyang Chu, Yu Yang, Jian Pei:
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test. Proc. VLDB Endow. 14(9): 1583-1596 (2021) - [j152]Cheng Xu, Ce Zhang, Jianliang Xu, Jian Pei:
SlimChain: Scaling Blockchain Transactions through Off-Chain Storage and Parallel Processing. Proc. VLDB Endow. 14(11): 2314-2326 (2021) - [j151]Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(12): 2747-2750 (2021) - [j150]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, Chenglin Fan:
Skyline Diagram: Efficient Space Partitioning for Skyline Queries. IEEE Trans. Knowl. Data Eng. 33(1): 271-286 (2021) - [j149]Yu Yang, Jian Pei:
Influence Analysis in Evolving Networks: A Survey. IEEE Trans. Knowl. Data Eng. 33(3): 1045-1063 (2021) - [j148]Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Wenhui Yu:
Group-Based Skyline for Pareto Optimal Groups. IEEE Trans. Knowl. Data Eng. 33(7): 2914-2929 (2021) - [j147]Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin:
Visually aware recommendation with aesthetic features. VLDB J. 30(4): 495-513 (2021) - [c235]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI 2021: 4486-4493 - [c234]Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang:
Personalized Cross-Silo Federated Learning on Non-IID Data. AAAI 2021: 7865-7873 - [c233]Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang:
Reinforced Multi-Teacher Selection for Knowledge Distillation. AAAI 2021: 14284-14291 - [c232]Yucheng Zhou, Xiubo Geng, Tao Shen, Jian Pei, Wenqiang Zhang, Daxin Jiang:
Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning. ACL/IJCNLP (Findings) 2021: 4586-4596 - [c231]Hao Huang, Xiubo Geng, Jian Pei, Guodong Long, Daxin Jiang:
Reasoning over Entity-Action-Location Graph for Procedural Text Understanding. ACL/IJCNLP (1) 2021: 5100-5109 - [c230]Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang:
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. EMNLP (1) 2021: 3226-3237 - [c229]Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang:
Finding Representative Interpretations on Convolutional Neural Networks. ICCV 2021: 1325-1334 - [c228]Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo:
Eclipse: Generalizing kNN and Skyline. ICDE 2021: 972-983 - [c227]Pei Wang, Weiling Zheng, Jiannan Wang, Jian Pei:
Automating Entity Matching Model Development. ICDE 2021: 1296-1307 - [c226]Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang:
Auto-Split: A General Framework of Collaborative Edge-Cloud AI. KDD 2021: 2543-2553 - [c225]Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. KDD 2021: 3231-3239 - [c224]Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang:
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. KDD 2021: 3917-3927 - [c223]Jian Pei, Feida Zhu, Zicun Cong, Xuan Luo, Huiwen Liu, Xin Mu:
Data Pricing and Data Asset Governance in the AI Era. KDD 2021: 4058-4059 - [c222]Linjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang:
Language Scaling: Applications, Challenges and Approaches. KDD 2021: 4068-4069 - [c221]Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang:
Towards Fair Federated Learning. KDD 2021: 4100-4101 - [c220]Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo:
The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). KDD 2021: 4167-4168 - [c219]Feida Zhu, Jian Pei:
The Third International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD2021): Joint Workshop with SIGKDD 2021 Trust Day. KDD 2021: 4185-4186 - [c218]Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang:
Robust Counterfactual Explanations on Graph Neural Networks. NeurIPS 2021: 5644-5655 - [c217]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang:
CalibreNet: Calibration Networks for Multilingual Sequence Labeling. WSDM 2021: 842-850 - [i56]Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian:
Model Complexity of Deep Learning: A Survey. CoRR abs/2103.05127 (2021) - [i55]Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. CoRR abs/2106.00241 (2021) - [i54]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. CoRR abs/2106.06090 (2021) - [i53]Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi:
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence. CoRR abs/2106.14075 (2021) - [i52]Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang:
Robust Counterfactual Explanations on Graph Neural Networks. CoRR abs/2107.04086 (2021) - [i51]Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang:
Finding Representative Interpretations on Convolutional Neural Networks. CoRR abs/2108.06384 (2021) - [i50]Zicun Cong, Xuan Luo, Jian Pei, Feida Zhu, Yong Zhang:
Data Pricing in Machine Learning Pipelines. CoRR abs/2108.07915 (2021) - [i49]Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang:
Auto-Split: A General Framework of Collaborative Edge-Cloud AI. CoRR abs/2108.13041 (2021) - [i48]Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang:
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. CoRR abs/2109.01583 (2021) - [i47]Lingyang Chu, Lanjun Wang, Yanjie Dong, Jian Pei, Zirui Zhou, Yong Zhang:
FedFair: Training Fair Models In Cross-Silo Federated Learning. CoRR abs/2109.05662 (2021) - [i46]Changxin Liu, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, Yong Zhang:
Achieving Model Fairness in Vertical Federated Learning. CoRR abs/2109.08344 (2021) - [i45]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang:
Improving Fairness for Data Valuation in Federated Learning. CoRR abs/2109.09046 (2021) - [i44]Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang:
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. CoRR abs/2109.12519 (2021) - [i43]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. CoRR abs/2110.04000 (2021) - [i42]Nuo Chen, Linjun Shou, Min Gong, Jian Pei, Daxin Jiang:
From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension. CoRR abs/2112.04735 (2021) - [i41]Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang:
Mining Minority-class Examples With Uncertainty Estimates. CoRR abs/2112.07835 (2021) - [i40]Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei:
Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. CoRR abs/2112.11775 (2021) - 2020
- [j146]Yanping Li, Qi Wang, Tao Wang, Jian Pei, Shuo Zhang:
Feature Extraction of EEG Signals Based on Local Mean Decomposition and Fuzzy Entropy. Int. J. Pattern Recognit. Artif. Intell. 34(12): 2058017:1-2058017:13 (2020) - [j145]Dong-Wan Choi, Jian Pei, Xuemin Lin:
On spatial keyword covering. Knowl. Inf. Syst. 62(7): 2577-2612 (2020) - [j144]Yu Yang, Xiangbo Mao, Jian Pei, Xiaofei He:
Continuous Influence Maximization. ACM Trans. Knowl. Discov. Data 14(3): 29:1-29:38 (2020) - [j143]Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, Zheng Qin:
Efficient Contour Computation of Group-Based Skyline. IEEE Trans. Knowl. Data Eng. 32(7): 1317-1332 (2020) - [j142]Sihem Amer-Yahia, Jian Pei:
VLDB SI 2018 editorial. VLDB J. 29(2-3): 593-594 (2020) - [j141]Mingtao Lei, Lingyang Chu, Zhefeng Wang, Jian Pei, Caifeng He, Xi Zhang, Binxing Fang:
Mining top-k sequential patterns in transaction database graphs. World Wide Web 23(1): 103-130 (2020) - [c216]Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang:
A Graph Representation of Semi-structured Data for Web Question Answering. COLING 2020: 51-61 - [c215]