Huan Li

105 papers A* 23A 3B 2Misc 1Journal 66Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
DQE: A Semantic-Aware Evaluation Metric for Time Series Anomaly Detection.
CoRR
Yuewei Li, Dalin Zhang, Huan Li, Xinyi Gong, Hongjun Chu, Zhaohui Song
2026 J jnl
DeXOR: Enabling XOR in Decimal Space for Streaming Lossless Compression of Floating-point Data.
CoRR
Chuanyi Lv, Huan Li, Dingyu Yang, Zhongle Xie, Lu Chen, Christian S. Jensen
2026 J jnl
DeXOR: Enabling XOR in Decimal Space for Streaming Lossless Compression of Floating-point Data.
Proc. VLDB Endow.
Chuanyi Lv, Huan Li, Dingyu Yang, Zhonele Xie, Lu Chen, Christian S. Jensen
2026 A* conf
DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation.
AAAI
Fan Zhang, Jinpeng Chen, Tao Wang, Huan Li, Senzhang Wang, Feifei Kou, Ye Ji, Kaimin Wei, Zhenye Yang
2026 J jnl
Enhancing Explainable Sequential Recommendation With Disentangled Representations and Auxiliary Review Explanations.
IEEE Trans. Comput. Soc. Syst.
Jinpeng Chen, Huachen Guan, Hongbo Gao, Huan Li, Zhenye Yang, Fan Zhang, Kaimin Wei, Feifei Kou, Xindong Wu
2026 J jnl
LightTR+: A Lightweight Incremental Framework for Federated Trajectory Recovery.
IEEE Trans. Knowl. Data Eng.
Hao Miao, Ziqiao Liu, Yan Zhao, Chenxi Liu, Chenjuan Guo, Bin Yang, Kai Zheng, Huan Li, Christian S. Jensen
2026 A* conf
MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity.
AAAI
Zhichen Lai, Hua Lu, Huan Li, Jialiang Li, Christian S. Jensen
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 A* conf
Same Last-Item Confusion Unveiled: A Unified Mitigation Framework for Graph Learning in Session-Based Recommendation.
WWW
Jinpeng Chen, Jianxiang He, Yuan Cao, Huan Li, Zhenye Yang, Kaimin Wei, Xiongnan Jin, Senzhang Wang, Weiping Tu
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 — conf
AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference.
SIGMOD Conference Companion
Yangshen Deng, Zhengxin You, Long Xiang, Qilong Li, Peiqi Yuan, Zhaoyang Hong, Yitao Zheng, Wanting Li, Runzhong Li, Haotian Liu, Kyriakos Mouratidis, Man Lung Yiu, Huan Li, Qiaomu Shen, Rui Mao, Bo Tang
2025 J jnl
AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference.
CoRR
Yangshen Deng, Zhengxin You, Long Xiang, Qilong Li, Peiqi Yuan, Zhaoyang Hong, Yitao Zheng, Wanting Li, Runzhong Li, Haotian Liu, Kyriakos Mouratidis, Man Lung Yiu, Huan Li, Qiaomu Shen, Rui Mao, Bo Tang
2025 — conf
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning.
KDD (2)
Minbo Ma, Kai Tang, Huan Li, Fei Teng, Dalin Zhang, Tianrui Li
2025 J jnl
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning.
CoRR
Minbo Ma, Kai Tang, Huan Li, Fei Teng, Dalin Zhang, Tianrui Li
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
Eco-Friendly Route Planning Algorithms: Taxonomies, Literature Review and Future Directions.
ACM Comput. Surv.
Ahmed Fahmin, Muhammad Aamir Cheema, Mohammed Eunus Ali, Adel Nadjaran Toosi, Hua Lu, Huan Li, David Taniar, Hesham A. Rakha, Bojie Shen
2025 J jnl
FRAME: Feature Rectification for Class Imbalance Learning.
IEEE Trans. Knowl. Data Eng.
Xu Cheng, Fan Shi, Yao Zhang, Huan Li, Xiufeng Liu, Shengyong 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 A* conf
Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation.
SIGIR
Jinpeng Chen, Jianxiang He, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Zhenye Yang, Ye Ji
2025 J jnl
Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation.
CoRR
Jinpeng Chen, Jianxiang He, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Zhenye Yang, Ye Ji
2025 J jnl
High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration.
Proc. ACM Manag. Data
Baiyan Zhang, Zepeng Li, Dongxiang Zhang, Huan Li, Kian-Lee Tan, Gang Chen
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 A* conf
Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation.
ACM Multimedia
Fan Zhang, Jinpeng Chen, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Jianxiang He, Feifei Kou, Jinqing Wang
2025 J jnl
Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation.
CoRR
Fan Zhang, Jinpeng Chen, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Jianxiang He, Feifei Kou, Jinqing Wang
2025 J jnl
Modeling and Monitoring of Indoor Populations Using Sparse Positioning Data.
IEEE Trans. Knowl. Data Eng.
Xiao Li, Huan Li, Hua Lu, Christian S. Jensen
2025 J jnl
MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity (Extension).
CoRR
Zhichen Lai, Hua Lu, Huan Li, Jialiang Li, Christian S. Jensen
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
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting.
CoRR
Yuxuan Yang, Dalin Zhang, Yuxuan Liang, Hua Lu, Gang Chen, Huan Li
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 A conf
STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation.
CIKM
Zhenye Yang, Jinpeng Chen, Huan Li, Xiongnan Jin, Xuanyang Li, Junwei Zhang, Hongbo Gao, Kaimin Wei, Senzhang Wang
2025 J jnl
STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation.
CoRR
Zhenye Yang, Jinpeng Chen, Huan Li, Xiongnan Jin, Xuanyang Li, Junwei Zhang, Hongbo Gao, Kaimin Wei, Senzhang Wang
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
Skeleton-Guided Learning for Shortest Path Search.
CoRR
Tiantian Liu, Xiao Li, Huan Li, Hua Lu, Christian S. Jensen, Jianliang Xu
2025 A* conf
SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning.
EMNLP
Yicheng Ji, Jun Zhang, Heming Xia, Jinpeng Chen, Lidan Shou, Gang Chen, Huan Li
2025 J jnl
SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning.
CoRR
Yicheng Ji, Jun Zhang, Heming Xia, Jinpeng Chen, Lidan Shou, Gang Chen, Huan Li
2025 — conf
TEQ: An Open and Developer-friendly Testbed for Edge-based Query Processing Algorithms.
SIGMOD Conference Companion
Yu Lei, Xinle Jiang, Hua Lu, Christian S. Jensen, Bo Tang, Huan Li
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
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 — conf
T²DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning.
ACL (Findings)
Han Lin, Xiu Tang, Huan Li, Wenxue Cao, Sai Wu, Chang Yao, Lidan Shou, Gang Chen
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
An End-to-End Model for Time Series Classification In the Presence of Missing Values.
CoRR
Pengshuai Yao, Mengna Liu, Xu Cheng, Fan Shi, Huan Li, Xiufeng Liu, Shengyong 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
Contact Tracing over Uncertain Indoor Positioning Data (Extended Abstract).
ICDE
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Harry Kai-Ho Chan
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
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series.
CoRR
Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, Christian S. Jensen
2024 A* conf
E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series.
WWW
Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, Christian S. Jensen
2024 J jnl
EMPNet: An extract-map-predict neural network architecture for cross-domain recommendation.
World Wide Web (WWW)
Jinpeng Chen, Fan Zhang, Huan Li, Hua Lu, Xiongnan Jin, Kuien Liu, Hongjun Li, Yongheng Wang
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
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation.
IEEE Trans. Knowl. Data Eng.
Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, Yan Zhao
2024 A* conf
LightTR: A Lightweight Framework for Federated Trajectory Recovery.
ICDE
Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li
2024 J jnl
LightTR: A Lightweight Framework for Federated Trajectory Recovery.
CoRR
Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li
2024 J jnl
Modeling and Monitoring of Indoor Populations using Sparse Positioning Data (Extension).
CoRR
Xiao Li, Huan Li, Hua Lu, Christian S. Jensen
2024 A conf
PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation.
CIKM
Jinpeng Chen, Huachen Guan, Huan Li, Fan Zhang, Liwei Huang, Guangyao Pang, Xiongnan Jin
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 A* conf
ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions.
KDD
Zhichen Lai, Dalin Zhang, Huan Li, Dongxiang Zhang, Hua Lu, Christian S. Jensen
2024 J jnl
Revisiting CNNs for Trajectory Similarity Learning.
CoRR
Zhihao Chang, Linzhu Yu, Huan Li, Sai Wu, Gang Chen, Dongxiang Zhang
2024 J jnl
Revisiting CNNs for Trajectory Similarity Learning.
Proc. VLDB Endow.
Zhihao Chang, Linzhu Yu, Huan Li, Sai Wu, Gang Chen, Dongxiang Zhang
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
2023 J jnl
Contact Tracing Over Uncertain Indoor Positioning Data.
IEEE Trans. Knowl. Data Eng.
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Harry Kai-Ho Chan
2023 J jnl
Contact Tracing over Uncertain Indoor Positioning Data (Extended Version).
CoRR
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Harry Kai-Ho Chan
2023 J jnl
Data Imputation for Sparse Radio Maps in Indoor Positioning (Extended Version).
CoRR
Xiao Li, Huan Li, Harry Kai-Ho Chan, Hua Lu, Christian S. Jensen
2023 A* conf
Data Imputation for Sparse Radio Maps in Indoor Positioning.
ICDE
Xiao Li, Huan Li, Harry Kai-Ho Chan, Hua Lu, Christian S. Jensen
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 J jnl
Efficiently computing alternative paths in game maps.
World Wide Web (WWW)
Lingxiao Li, Muhammad Aamir Cheema, Mohammed Eunus Ali, Hua Lu, Huan Li
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 J jnl
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting.
CoRR
Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, Yan Zhao
2023 J jnl
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting.
Proc. ACM Manag. Data
Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, Yan Zhao
2023 J jnl
Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation (Extended Version).
CoRR
Xiao Li, Huan Li, Hua Lu, Christian S. Jensen, Varun Pandey, Volker Markl
2023 J jnl
Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation.
Proc. VLDB Endow.
Xiao Li, Huan Li, Hua Lu, Christian S. Jensen, Varun Pandey, Volker Markl
2023 J jnl
Spatial Data Quality in the Internet of Things: Management, Exploitation, and Prospects.
ACM Comput. Surv.
Huan Li, Hua Lu, Christian S. Jensen, Bo Tang, Muhammad Aamir Cheema
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
Time-constrained indoor keyword-aware routing: foundations and extensions.
GeoInformatica
Harry Kai-Ho Chan, Tiantian Liu, Huan Li, Hua Lu
2023 J jnl
Towards Indoor Temporal-Variation Aware Shortest Path Query.
IEEE Trans. Knowl. Data Eng.
Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, Jianliang Xu
2023 J jnl
Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng.
Yan Zhao, Tinghao Lai, Ziwei Wang, Kaixuan Chen, Huan Li, Kai Zheng
2022 J jnl
Continuous Social Distance Monitoring in Indoor Space.
Proc. VLDB Endow.
Harry Kai-Ho Chan, Huan Li, Xiao Li, Hua Lu
2022 Misc conf
Diverse Shortest Paths in Game Maps: A Comparative User Study and Experiments.
ADC
Lingxiao Li, Muhammad Aamir Cheema, Mohammed Eunus Ali, Hua Lu, Huan Li
2022 J jnl
Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments.
Proc. VLDB Endow.
Huan Li, Lanjing Yi, Bo Tang, Hua Lu, Christian S. Jensen
2022 — conf
GHive: A Demonstration of GPU-Accelerated Query Processing in Apache Hive.
SIGMOD Conference
Haotian Liu, Bo Tang, Jiashu Zhang, Yangshen Deng, Xinying Zheng, Qiaomu Shen, Xiao Yan, Dan Zeng, Zunyao Mao, Chaozu Zhang, Zhengxin You, Zhihao Wang, Runzhe Jiang, Fang Wang, Man Lung Yiu, Huan Li, Mingji Han, Qian Li, Zhenghai Luo
2022 — conf
GHive: accelerating analytical query processing in apache hive via CPU-GPU heterogeneous computing.
SoCC
Haotian Liu, Bo Tang, Jiashu Zhang, Yangshen Deng, Xiao Yan, Xinying Zheng, Qiaomu Shen, Dan Zeng, Zunyao Mao, Chaozu Zhang, Zhengxin You, Zhihao Wang, Runzhe Jiang, Fang Wang, Man Lung Yiu, Huan Li, Mingji Han, Qian Li, Zhenghai Luo
2022 A* conf
IKAROS: An Indoor Keyword-Aware Routing System.
ICDE
Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Lidan Shou, Jianliang Xu
2022 — conf
Spatial Data Quality in the IoT Era: Management and Exploitation.
SIGMOD Conference
Huan Li, Bo Tang, Hua Lu, Muhammad Aamir Cheema, Christian S. Jensen
2022 J jnl
Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty.
Frontiers Big Data
Huan Li, Tiantian Liu, Harry Kai-Ho Chan, Hua Lu
2021 J jnl
Impact of COVID-19 on Adoption of IoT in Different Sectors.
CoRR
Muhammad Umair, Muhammad Aamir Cheema, Omer Cheema, Huan Li, Hua Lu
2021 J jnl
Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT.
Sensors
Muhammad Umair, Muhammad Aamir Cheema, Omer Cheema, Huan Li, Hua Lu
2021 B conf
Indoor Spatial Queries: Modeling, Indexing, and Processing.
EDBT
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou
2021 B conf
Time-Constrained Indoor Keyword-aware Routing.
SSTD
Harry Kai-Ho Chan, Tiantian Liu, Huan Li, Hua Lu
2021 J jnl
Towards Crowd-aware Indoor Path Planning (Extended Version).
CoRR
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou
2021 J jnl
Towards Crowd-aware Indoor Path Planning.
Proc. VLDB Endow.
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou
2020 J jnl
An Experimental Analysis of Indoor Spatial Queries: Modeling, Indexing, and Processing.
CoRR
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou
2020 A* conf
Indoor Mobility Semantics Annotation Using Coupled Conditional Markov Networks.
ICDE
Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou, Gang Chen
2020 A* conf
Indoor Top-k Keyword-aware Routing Query.
ICDE
Zijin Feng, Tiantian Liu, Huan Li, Hua Lu, Lidan Shou, Jianliang Xu
2020 A* conf
Shortest Path Queries for Indoor Venues with Temporal Variations.
ICDE
Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, Jianliang Xu
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 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
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
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
2015 — conf
E
UbiComp/ISWC Adjunct
Huan Li, Pai Peng, Hua Lu, Lidan Shou, Ke Chen, Gang Chen