Ke Chen

143 papers A* 36A 6B 1C 5Journal 70Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
FastBUS: A Fast Bayesian Framework for Unified Weakly-Supervised Learning.
CoRR
Ziquan Wang, Haobo Wang, Ke Chen, Lei Feng, Gang Chen
2026 J jnl
SVFusion: A CPU-GPU Co-Processing Architecture for Large-Scale Real-Time Vector Search.
CoRR
Yuchen Peng, Dingyu Yang, Zhongle Xie, Ji Sun, Lidan Shou, Ke Chen, Gang Chen
2026 J jnl
SVFusion: A CPU-GPU Co-Processing Architecture for Large-Scale Real-Time Vector Search.
Proc. VLDB Endow.
Yuchen Peng, Dingyu Yang, Zhongle Xie, Ji Sun, Lidan Shou, Ke Chen, Gang Chen
2026 J jnl
SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses.
CoRR
Yifan Wu, Yuhan Li, Zhenhua Wang, Zhongle Xie, Dingyu Yang, Ke Chen, Lidan Shou, Bo Tang, Liang Lin, Huan Li, Gang Chen
2026 J jnl
Semantic Web-Based Latent Alignment and Label Propagation Model for Multi-Label Learning with Missing Labels.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Xiang Wen, Yuhang Yang, Haobo Wang, Ke Chen, Tianlei Hu, Gang Chen
2025 J jnl
${\sf CHASe}$CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning.
IEEE Trans. Knowl. Data Eng.
Jun Zhang, Jue Wang, Huan Li, Zhongle Xie, Ke Chen, Lidan Shou
2025 J jnl
A Comprehensive Study of Shapley Value in Data Analytics.
Proc. VLDB Endow.
Hong Lin, Shixin Wan, Zhongle Xie, Ke Chen, Meihui Zhang, Lidan Shou, Gang Chen
2025 J jnl
CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning.
CoRR
Jun Zhang, Jue Wang, Huan Li, Zhongle Xie, Ke Chen, Lidan Shou
2025 A* conf
CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation.
AAAI
Hongwei Yuan, Xiu Tang, Ke Chen, Lidan Shou, Gang Chen, Huan Li
2025 J jnl
Cohort query processing without misleading aging effects.
VLDB J.
Pengkai Lu, Zhongle Xie, Dawei Jiang, Ke Chen, Lidan Shou
2025 A* conf
FloE: On-the-Fly MoE Inference on Memory-constrained GPU.
ICML
Yuxin Zhou, Zheng Li, Jun Zhang, Jue Wang, Yiping Wang, Zhongle Xie, Ke Chen, Lidan Shou
2025 J jnl
FloE: On-the-Fly MoE Inference on Memory-constrained GPU.
CoRR
Yuxin Zhou, Zheng Li, Jun Zhang, Jue Wang, Yiping Wang, Zhongle Xie, Ke Chen, Lidan Shou
2025 J jnl
GMCoT: a graph-augmented multimodal chain-of-thought reasoning framework for multi-label zero-shot learning.
Frontiers Inf. Technol. Electron. Eng.
Xiang Wen, Haobo Wang, Ke Chen, Tianlei Hu, Gang Chen
2025 J jnl
HMI: Hierarchical Knowledge Management for Efficient Multi-Tenant Inference in Pretrained Language Models.
CoRR
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Qin Xie, Guiming Xie, Xuejian Gong
2025 J jnl
HMI: hierarchical knowledge management for efficient multi-tenant inference in pretrained language models.
VLDB J.
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Qin Xie, Guiming Xie, Xuejian Gong
2025 J jnl
HyperMR: Efficient Hypergraph-enhanced Matrix Storage on Compute-in-Memory Architecture.
Proc. ACM Manag. Data
Yifan Wu, Ke Chen, Gang Chen, Dawei Jiang, Huan Li, Lidan Shou
2025 J jnl
NLCTables: A Dataset for Marrying Natural Language Conditions with Table Discovery.
CoRR
Lingxi Cui, Huan Li, Ke Chen, Lidan Shou, Gang Chen
2025 J jnl
Preventing the Popular Item Embedding Based Attack in Federated Recommendations.
CoRR
Jun Zhang, Huan Li, Dazhong Rong, Yan Zhao, Ke Chen, Lidan Shou
2025 J jnl
SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses.
Proc. VLDB Endow.
Yifan Wu, Yuhan Li, Zhenhua Wang, Zhongle Xie, Dingyu Yang, Ke Chen, Lidan Shou, Bo Tang, Liang Lin, Huan Li, Gang Chen
2025 J jnl
TableCopilot: A Table Assistant Empowered by Natural Language Conditional Table Discovery.
CoRR
Lingxi Cui, Guanyu Jiang, Huan Li, Ke Chen, Lidan Shou, Gang Chen
2025 J jnl
TableCopilot: A Table Assistant Empowered by Natural Language Conditional Table Discovery.
Proc. VLDB Endow.
Lingxi Cui, Guanyu Jiang, Huan Li, Ke Chen, Lidan Shou, Gang Chen
2025 A* conf
Towards Automatic and Efficient Prediction Query Processing in Analytical Database.
ICDE
Yuchen Peng, Zhongle Xie, Ke Chen, Gang Chen, Lidan Shou
2025 A* conf
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models.
ICLR
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Yang You, Guiming Xie, Xuejian Gong, Kunlong Zhou
2025 J jnl
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models.
CoRR
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Yang You, Guiming Xie, Xuejian Gong, Kunlong Zhou
2025 — conf
Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval.
EMNLP (Findings)
Linzhu Yu, Huan Li, Ke Chen, Lidan Shou
2025 A* conf
nlcTables: A Dataset for Marrying Natural Language Conditions with Table Discovery.
SIGIR
Lingxi Cui, Huan Li, Ke Chen, Lidan Shou, Gang Chen
2024 J jnl
A Comprehensive Study of Shapley Value in Data Analytics.
CoRR
Hong Lin, Shixin Wan, Zhongle Xie, Ke Chen, Meihui Zhang, Lidan Shou, Gang Chen
2024 A* conf
BoKA: Bayesian Optimization based Knowledge Amalgamation for Multi-unknown-domain Text Classification.
KDD
Linzhu Yu, Huan Li, Ke Chen, Lidan Shou
2024 A* conf
BushStore: Efficient B+Tree Group Indexing for LSM-Tree in Non-Volatile Memory.
ICDE
Zhenghao Wang, Lidan Shou, Ke Chen, Xuan Zhou
2024 A* conf
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition.
AAAI
Cheng Peng, Ke Chen, Lidan Shou, Gang Chen
2024 A* conf
CoMAL: Contrastive Active Learning for Multi-Label Text Classification.
KDD
Cheng Peng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen
2024 J jnl
Correction to: "Refiner: a reliable and efficient incentive-driven federated learning system powered by blockchain".
VLDB J.
Hong Lin, Ke Chen, Dawei Jiang, Lidan Shou, Gang Chen
2024 — conf
Draft& Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding.
ACL (1)
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra
2024 J jnl
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning.
CoRR
Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu
2024 J jnl
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning.
Data Sci. Eng.
Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu
2024 J jnl
KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs.
CoRR
Yongqin Xu, Huan Li, Ke Chen, Lidan Shou
2024 J jnl
Learning Label-Adaptive Representation for Large-Scale Multi-Label Text Classification.
IEEE ACM Trans. Audio Speech Lang. Process.
Cheng Peng, Haobo Wang, Jue Wang, Lidan Shou, Ke Chen, Gang Chen, Chang Yao
2024 B conf
MCF-KV: Multi-Cuckoo-Filter Index based Key-Value Store with Persistent Memory.
EDBT
Hongjia Zou, Lidan Shou, Ke Chen, Xuan Zhou
2024 J jnl
On the Value of Head Labels in Multi-Label Text Classification.
ACM Trans. Knowl. Discov. Data
Haobo Wang, Cheng Peng, Hede Dong, Lei Feng, Weiwei Liu, Tianlei Hu, Ke Chen, Gang Chen
2024 A* conf
Preventing the Popular Item Embedding Based Attack in Federated Recommendations.
ICDE
Jun Zhang, Huan Li, Dazhong Rong, Yan Zhao, Ke Chen, Lidan Shou
2024 J jnl
Refiner: a reliable and efficient incentive-driven federated learning system powered by blockchain.
VLDB J.
Hong Lin, Ke Chen, Dawei Jiang, Lidan Shou, Gang Chen
2024 J jnl
Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI.
CoRR
Lingxi Cui, Huan Li, Ke Chen, Lidan Shou, Gang Chen
2024 A* conf
Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection.
AAAI
Cheng Peng, Ke Chen, Lidan Shou, Gang Chen
2023 J jnl
AQUA: Automatic Collaborative Query Processing in Analytical Database.
Proc. VLDB Endow.
Yuchen Peng, Ke Chen, Lidan Shou, Dawei Jiang, Gang Chen
2023 J jnl
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-modal Multi-label Emotion Recognition.
CoRR
Cheng Peng, Ke Chen, Lidan Shou, Gang Chen
2023 — conf
Complementary Label Queries for Efficient Active Learning.
ICIGP
Shengyuan Liu, Tianlei Hu, Ke Chen, Yunqing Mao
2023 A* conf
Deep Partial Multi-Label Learning with Graph Disambiguation.
IJCAI
Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen
2023 J jnl
Deep Partial Multi-Label Learning with Graph Disambiguation.
CoRR
Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen
2023 J jnl
Deep learning applications in games: a survey from a data perspective.
Appl. Intell.
Zhipeng Hu, Yu Ding, Runze Wu, Lincheng Li, Rongsheng Zhang, Yujing Hu, Feng Qiu, Zhimeng Zhang, Kai Wang, Shiwei Zhao, Yongqiang Zhang, Ji Jiang, Yadong Xi, Jiashu Pu, Wei Zhang, Suzhen Wang, Ke Chen, Tianze Zhou, Jiarui Chen, Yan Song, Tangjie Lv, Changjie Fan
2023 J jnl
Distributional constraint discovery for intelligent auditing.
Knowl. Inf. Syst.
Wentao Hu, Dawei Jiang, Sai Wu, Ke Chen, Gang Chen
2023 J jnl
Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding.
CoRR
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra
2023 A* conf
Effective Continual Learning for Text Classification with Lightweight Snapshots.
AAAI
Jue Wang, Dajie Dong, Lidan Shou, Ke Chen, Gang Chen
2023 A* conf
FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training.
IJCAI
Xin'ao Wang, Huan Li, Ke Chen, Lidan Shou
2023 — conf
SMILE: A Cost-Effective System for Serving Massive Pretrained Language Models in The Cloud.
SIGMOD Conference Companion
Jue Wang, Ke Chen, Lidan Shou, Dawei Jiang, Gang Chen
2023 J jnl
SQUID: subtrajectory query in trillion-scale GPS database.
VLDB J.
Dongxiang Zhang, Zhihao Chang, Dingyu Yang, Dongsheng Li, Kian-Lee Tan, Ke Chen, Gang Chen
2023 A conf
TPUF: Enhancing Cross-domain Sequential Recommendation via Transferring Pre-trained User Features.
CIKM
Yujia Ding, Huan Li, Ke Chen, Lidan Shou
2023 J jnl
Uncertainty-aware complementary label queries for active learning.
Frontiers Inf. Technol. Electron. Eng.
Shengyuan Liu, Ke Chen, Tianlei Hu, Yunqing Mao
2022 J jnl
A Stack-Centric Processing Model for Iterative Processing.
IEEE Trans. Big Data
Zhifei Pang, Sai Wu, Gang Chen, Lidan Shou, Ke Chen, Bingsheng He
2022 A* conf
Arm: Efficient Learning of Neural Retrieval Models with Desired Accuracy by Automatic Knowledge Amalgamation.
SIGIR
Linzhu Yu, Dawei Jiang, Ke Chen, Lidan Shou
2022 A* conf
Continual Federated Learning Based on Knowledge Distillation.
IJCAI
Yuhang Ma, Zhongle Xie, Jue Wang, Ke Chen, Lidan Shou
2022 — conf
IceBerg: Deep Generative Modeling for Constraint Discovery and Anomaly Detection.
ISPA/BDCloud/SocialCom/SustainCom
Wentao Hu, Dawei Jiang, Sai Wu, Ke Chen, Gang Chen
2022 — conf
SkipBERT: Efficient Inference with Shallow Layer Skipping.
ACL (1)
Jue Wang, Ke Chen, Gang Chen, Lidan Shou, Julian J. McAuley
2021 — conf
An Interactive NL2SQL Approach with Reuse Strategy.
DASFAA (2)
Xiaxia Wang, Sai Wu, Lidan Shou, Ke Chen
2021 A* conf
Defending Privacy Against More Knowledgeable Membership Inference Attackers.
KDD
Yu Yin, Ke Chen, Lidan Shou, Gang Chen
2021 — conf
Dual Enhancement for Multi-Label Learning with Missing Labels.
MLMI
Shengyuan Liu, Haobo Wang, Tianlei Hu, Ke Chen
2021 A* conf
Effective Slot Filling via Weakly-Supervised Dual-Model Learning.
AAAI
Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Gang Chen
2021 J jnl
GLIB: Towards Automated Test Oracle for Graphically-Rich Applications.
CoRR
Ke Chen, Yufei Li, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang
2021 — conf
GLIB: towards automated test oracle for graphically-rich applications.
ESEC/SIGSOFT FSE
Ke Chen, Yufei Li, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang
2021 — conf
Learning to Label with Active Learning and Reinforcement Learning.
DASFAA (2)
Xiu Tang, Sai Wu, Gang Chen, Ke Chen, Lidan Shou
2021 J jnl
Neural-to-Tree Policy Distillation with Policy Improvement Criterion.
CoRR
Zhao-Hua Li, Yang Yu, Yingfeng Chen, Ke Chen, Zhipeng Hu, Changjie Fan
2021 J jnl
Refiner: A Reliable Incentive-Driven Federated Learning System Powered by Blockchain.
Proc. VLDB Endow.
Zhebin Zhang, Dajie Dong, Yuhang Ma, Yilong Ying, Dawei Jiang, Ke Chen, Lidan Shou, Gang Chen
2020 J jnl
A two-phase approach for unexpected pattern mining.
Expert Syst. Appl.
Jingtian Zhang, Lidan Shou, Sai Wu, Gang Chen, Ke Chen
2020 — conf
AUDITOR: A System Designed for Automatic Discovery of Complex Integrity Constraints in Relational Databases.
SIGMOD Conference
Wentao Hu, Dongxiang Zhang, Dawei Jiang, Sai Wu, Ke Chen, Kian-Lee Tan, Gang Chen
2020 A* conf
Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification.
AAAI
Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen
2020 J jnl
LINDT: Tackling Negative Federated Learning with Local Adaptation.
CoRR
Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu
2020 A* conf
Learning From Multi-Dimensional Partial Labels.
IJCAI
Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen
2020 A* conf
Pyramid: A Layered Model for Nested Named Entity Recognition.
ACL
Jue Wang, Lidan Shou, Ke Chen, Gang Chen
2020 J jnl
Toward Translating Raw Indoor Positioning Data into Mobility Semantics.
Trans. Data Sci.
Huan Li, Hua Lu, Gang Chen, Ke Chen, Qinkuang Chen, Lidan Shou
2019 J jnl
DPTree: Differential Indexing for Persistent Memory.
Proc. VLDB Endow.
Xinjing Zhou, Lidan Shou, Ke Chen, Wei Hu, Gang Chen
2019 A* conf
EXACT: Attributed Entity Extraction By Annotating Texts.
SIGIR
Ke Chen, Lei Feng, Qingkuang Chen, Gang Chen, Lidan Shou
2019 A* conf
Finding Most Popular Indoor Semantic Locations Using Uncertain Mobility Data.
ICDE
Huan Li, Hua Lu, Lidan Shou, Gang Chen, Ke Chen
2019 J jnl
Finding Most Popular Indoor Semantic Locations Using Uncertain Mobility Data.
IEEE Trans. Knowl. Data Eng.
Huan Li, Hua Lu, Lidan Shou, Gang Chen, Ke Chen
2019 A* conf
In Search of Indoor Dense Regions: An Approach Using Indoor Positioning Data.
ICDE
Huan Li, Hua Lu, Lidan Shou, Gang Chen, Ke Chen
2019 J jnl
Semi-Supervised Few-Shot Learning for Dual Question-Answer Extraction.
CoRR
Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Sharad Mehrotra
2019 J jnl
基于关键词和关键句抽取的用户评论情感分析 (Sentiment Analysis of User Comments Based on Extraction of Key Words and Key Sentences).
计算机科学
Ying Yu, Ke Chen, Lidan Shou, Gang Chen, Xiaofan Wu
2019 J jnl
面向局域检索的时变图数据存储与查询模型 (Storage and Query Model for Localized Search on Temporal Graph Data).
计算机科学
Ping Zhao, Lidan Shou, Ke Chen, Gang Chen, Xiaofan Wu
2018 J jnl
In Search of Indoor Dense Regions: An Approach Using Indoor Positioning Data.
IEEE Trans. Knowl. Data Eng.
Huan Li, Hua Lu, Lidan Shou, Gang Chen, Ke Chen
2018 J jnl
TRIPS: A System for Translating Raw Indoor Positioning Data into Visual Mobility Semantics.
Proc. VLDB Endow.
Huan Li, Hua Lu, Feichao Shi, Gang Chen, Ke Chen, Lidan Shou
2017 A conf
A New Approach to Compute CNNs for Extremely Large Images.
CIKM
Sai Wu, Mengdan Zhang, Gang Chen, Ke Chen
2017 J jnl
CSIR4G: An effective and efficient cross-scenario image retrieval model for glasses.
Inf. Sci.
Xiaoling Gu, Sai Wu, Pai Peng, Lidan Shou, Ke Chen, Gang Chen
2017 J jnl
FlashView: An Interactive Visual Explorer for Raw Data.
Proc. VLDB Endow.
Zhifei Pang, Sai Wu, Gang Chen, Ke Chen, Lidan Shou
2017 J jnl
Robust, Efficient Depth Reconstruction With Hierarchical Confidence-Based Matching.
IEEE Trans. Image Process.
Li Sun, Ke Chen, Mingli Song, Dacheng Tao, Gang Chen, Chun Chen
2017 — conf
Visible Nearest Neighbor Search for Objects Moving on Consecutive Trajectories.
ISPA/IUCC
Xinyuan Luo, Ke Chen, Guifeng Pang, Lidan Shou, Gang Chen
2016 — conf
Category driven deep recurrent neural network for video summarization.
ICME Workshops
Xinhui Song, Ke Chen, Jie Lei, Li Sun, Zhiyuan Wang, Lei Xie, Mingli Song
2016 J jnl
Get into the spirit of a location by mining user-generated travelogues.
Neurocomputing
Zhu Zhu, Lidan Shou, Ke Chen
2016 J jnl
KISS: Knowing Camera Prototype System for Recognizing and Annotating Places-of-Interest.
IEEE Trans. Knowl. Data Eng.
Pai Peng, Lidan Shou, Ke Chen, Gang Chen, Sai Wu
2016 J jnl
Vita: A Versatile Toolkit for Generating Indoor Mobility Data for Real-World Buildings.
Proc. VLDB Endow.
Huan Li, Hua Lu, Xin Chen, Gang Chen, Ke Chen, Lidan Shou
2016 A* conf
iGlasses: A Novel Recommendation System for Best-fit Glasses.
SIGIR
Xiaoling Gu, Lidan Shou, Pai Peng, Ke Chen, Sai Wu, Gang Chen
2015 A conf
DeepCamera: A Unified Framework for Recognizing Places-of-Interest based on Deep ConvNets.
CIKM
Pai Peng, Hongxiang Chen, Lidan Shou, Ke Chen, Gang Chen, Chang Xu
2015 — conf
Dissemination of anonymized streaming data.
DEBS
Yongluan Zhou, Lidan Shou, Xuan Shang, Ke Chen
2015 — conf
E
UbiComp/ISWC Adjunct
Huan Li, Pai Peng, Hua Lu, Lidan Shou, Ke Chen, Gang Chen
2015 J jnl
HM: A Column-Oriented MapReduce System on Hybrid Storage.
IEEE Trans. Knowl. Data Eng.
Sai Wu, Gang Chen, Ke Chen, Feng Li, Lidan Shou
2015 J jnl
On Summarization and Timeline Generation for Evolutionary Tweet Streams.
IEEE Trans. Knowl. Data Eng.
Zhenhua Wang, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra
2015 A conf
Toward the New Item Problem: Context-Enhanced Event Recommendation in Event-Based Social Networks.
ECIR
Zhenhua Wang, Ping He, Lidan Shou, Ke Chen, Sai Wu, Gang Chen
2014 J jnl
Supporting Privacy Protection in Personalized Web Search.
IEEE Trans. Knowl. Data Eng.
Lidan Shou, He Bai, Ke Chen, Gang Chen
2014 A* conf
The knowing camera 2: recognizing and annotating places-of-interest in smartphone photos.
SIGIR
Pai Peng, Lidan Shou, Ke Chen, Gang Chen, Sai Wu
2014 J jnl
yzBigData: Provisioning Customizable Solution for Big Data.
Proc. VLDB Endow.
Sai Wu, Gang Chen, Ke Chen, Lidan Shou, Hui Cao, He Bai
2013 A* conf
Competence-based song recommendation.
SIGIR
Lidan Shou, Kuang Mao, Xinyuan Luo, Ke Chen, Gang Chen, Tianlei Hu
2013 A* conf
Crowd-answering system via microblogging.
ICDE
Xianke Zhou, Ke Chen, Sai Wu, Bingbing Zhang
2013 A* conf
Sumblr: continuous summarization of evolving tweet streams.
SIGIR
Lidan Shou, Zhenhua Wang, Ke Chen, Gang Chen
2013 J jnl
Supporting Pattern-Preserving Anonymization for Time-Series Data.
IEEE Trans. Knowl. Data Eng.
Lidan Shou, Xuan Shang, Ke Chen, Gang Chen, Chao Zhang
2013 A* conf
The knowing camera: recognizing places-of-interest in smartphone photos.
SIGIR
Pai Peng, Lidan Shou, Ke Chen, Gang Chen, Sai Wu
2012 J jnl
E
Inf. Media Technol.
Gang Chen, Ke Chen, Dawei Jiang, Beng Chin Ooi, Lei Shi, Hoang Tam Vo, Sai Wu
2012 J jnl
E3: an Elastic Execution Engine for Scalable Data Processing.
J. Inf. Process.
Gang Chen, Ke Chen, Dawei Jiang, Beng Chin Ooi, Lei Shi, Hoang Tam Vo, Sai Wu
2012 J jnl
Effective and Efficient Shape-Based Pattern Detection over Streaming Time Series.
IEEE Trans. Knowl. Data Eng.
Yueguo Chen, Ke Chen, Mario A. Nascimento
2012 J jnl
Efficient processing of probabilistic set-containment queries on uncertain set-valued data.
Inf. Sci.
Xiaolong Zhang, Ke Chen, Lidan Shou, Gang Chen, Yuan Gao, Kian-Lee Tan
2012 A conf
Evaluating geo-social influence in location-based social networks.
CIKM
Chao Zhang, Lidan Shou, Ke Chen, Gang Chen, Yijun Bei
2012 J jnl
MUD: Mapping-based query processing for high-dimensional uncertain data.
Inf. Sci.
Lidan Shou, Xiaolong Zhang, Gang Chen, Yuan Gao, Ke Chen
2012 A* conf
Pictune: situational music recommendation from geotagged pictures.
SIGIR
Ke Chen, Gang Chen, Lidan Shou, Fei Xia
2012 A* conf
See-to-retrieve: efficient processing of spatio-visual keyword queries.
SIGIR
Chao Zhang, Lidan Shou, Ke Chen, Gang Chen
2012 A* conf
myDJ: recommending karaoke songs from one's own voice.
SIGIR
Kuang Mao, Xinyuan Luo, Ke Chen, Gang Chen, Lidan Shou
2011 — conf
Aggregate Farthest-Neighbor Queries over Spatial Data.
DASFAA (2)
Yuan Gao, Lidan Shou, Ke Chen, Gang Chen
2011 J jnl
PISA: A framework for integrating uncooperative peers into P2P-based federated search.
Comput. Commun.
Gang Chen, Zujie Ren, Lidan Shou, Ke Chen, Yijun Bei
2011 A* conf
UPS: efficient privacy protection in personalized web search.
SIGIR
Gang Chen, He Bai, Lidan Shou, Ke Chen, Yunjun Gao
2011 A* conf
What-you-retrieve-is-what-you-see: a preliminary cyber-physical search engine.
SIGIR
Lidan Shou, Ke Chen, Gang Chen, Chao Zhang, Yi Ma, Xian Zhang
2010 A conf
(k, P)-anonymity: towards pattern-preserving anonymity of time-series data.
CIKM
Xuan Shang, Ke Chen, Lidan Shou, Gang Chen, Tianlei Hu
2010 — conf
B
DASFAA (2)
Nan Chen, Lidan Shou, Gang Chen, Ke Chen, Yunjun Gao
2010 J jnl
HAPS: Supporting Effective and Efficient Full-Text P2P Search with Peer Dynamics.
J. Comput. Sci. Technol.
Zujie Ren, Ke Chen, Lidan Shou, Gang Chen, Yijun Bei, Xiaoyan Li
2010 — conf
Towards Efficient Concurrent Scans on Flash Disks.
DEXA (1)
Chang Xu, Lidan Shou, Gang Chen, Wei Hu, Tianlei Hu, Ke Chen
2009 A* conf
Efficient Processing of Warping Time Series Join of Motion Capture Data.
ICDE
Yueguo Chen, Gang Chen, Ke Chen, Beng Chin Ooi
2009 J jnl
Heuristic Discovery of Role-Based Trust Chains in Peer-to-Peer Networks.
IEEE Trans. Parallel Distributed Syst.
Ke Chen, Kai Hwang, Gang Chen
2008 C conf
Efficient Holistic Twig Join Algorithm on XML Documents with Optimization Rules and Index.
CW
Jinhua Jiang, Gang Chen, Lidan Shou, Ke Chen
2008 C conf
OTJFast: Processing Ordered XML Twig Join Fast.
APSCC
Jinhua Jiang, Gang Chen, Lidan Shou, Ke Chen
2006 C conf
A Database Encryption Scheme for Enhanced Security and Easy Sharing.
CSCWD
Gang Chen, Ke Chen, Jinxiang Dong
2006 — conf
A Fractal Watermark Solution for Product Data.
CSCWD (Selected Papers)
Ke Chen, Gang Chen, Cheng Zang, Jinxiang Dong
2006 — conf
An Architecture Approach to Dynamic Policy in RBAC.
CSCWD (Selected Papers)
Cheng Zang, Zhongdong Huang, Ke Chen, Jinxiang Dong
2006 C conf
Resilient Rights Protection for Product Data.
CSCWD
Ke Chen, Gang Chen, Tianlei Hu, Jinxiang Dong
2006 C conf
Securely Sharing Data in Encrypted Databases.
CSCWD
Lihua Yu, Gang Chen, Ke Chen, Jinxiang Dong
2005 — conf
A logical replication-based intrusion detection approach for CSCW system.
CSCWD (2)
Ke Chen, Gang Chen, Tianlei Hu, Jinxiang Dong
2005 — conf
An Immunity-Based Intrusion Detection Solution for Database Systems.
WAIM
Ke Chen, Gang Chen, Jinxiang Dong
2005 — conf
An adaptive load balancing framework for parallel database systems based on collaborative agents.
CSCWD (1)
Tianlei Hu, Gang Chen, Ke Chen, Jinxiang Dong
2005 — conf
GARWM: Towards a Generalized and Adaptive Watermark Scheme for Relational Data.
WAIM
Tianlei Hu, Gang Chen, Ke Chen, Jinxiang Dong
2005 — conf
Watermarking Abstract Tree-Structured Data.
WAIM
Gang Chen, Ke Chen, Tianlei Hu, Jinxiang Dong