Publications

Year 2026

• Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI. Lingxi Cui, Huan Li, Ke Chen, Lidan Shou, and Gang Chen. ACM Computing Surveys.
  DOI JOURNAL CCF-A CORE-A* IF: 23.8 (Year 2023)
• HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference. Bowen Zeng, Feiyang Ren, Jun Zhang, Xiaoling Gu, Ke Chen, Lidan Shou, and Huan Li. The 64th Annual Meeting of the Association for Computational Linguistics (ACL).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs. Yicheng Ji, Jun Zhang, Jinpeng Chen, Cong Wang, Lidan Shou, Gang Chen, and Huan Li. The 64th Annual Meeting of the Association for Computational Linguistics (ACL).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism. Yuhao Shen, Tianyu Liu, Junyi Shen, Jinyang Wu, Quan Kong, Huan Li, and Cong Wang. The 64th Annual Meeting of the Association for Computational Linguistics (ACL).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects. Jun Zhang, Yicheng Ji, Feiyang Ren, Yihang Li, Bowen Zeng, Zonghao Chen, Ke Chen, Lidan Shou, Gang Chen, and Huan Li. The 64th Annual Meeting of the Association for Computational Linguistics (ACL) Findings.
  DOI EXTENSION CONFERENCE CCF-A
• M4REC: Multi-Modal Knowledge Graph Modeling of Multi-Dimensional User Preferences for Next-POI Recommendation. Jinpeng Chen, Fan Zhang, Huan Li, Hua Lu, Kaimin Wei, Senzhang Wang, and Christian S. Jensen. IEEE Transactions on Knowledge and Data Engineering (TKDE).
  DOI JOURNAL CCF-A CORE-A* JCR Top 15%
• RedParrot: Accelerating NL-to-DSL for Business Analytics via Query Semantic Caching. Tong Wang, Yongqin Xu, Jianfeng Zhang, Lingxi Cui, Wenqing Wei, Suzhou Chen, Huan Li, Ke Chen, and Lidan Shou. The 42nd IEEE International Conference on Data Engineering (ICDE) Industry.
  DOI CONFERENCE CCF-A CORE-A*
• ParallelVLM: Lossless Video-LLM Acceleration with Visual Alignment Aware Parallel Speculative Decoding. Quan Kong, Yuhao Shen, Yicheng Ji, Huan Li, and Cong Wang. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
  DOI CONFERENCE CCF-A CORE-A*
• HARD-KV: Head-Adaptive Regularization for Decoding-time KV Compression. Yuxuan Yang, Feiyang Ren, Bowen Zeng, Dalin Zhang, Jinpeng Chen, Gang Chen, and Huan Li. The 43th International Conference on Machine Learning (ICML).
  DOI CONFERENCE CCF-A CORE-A*
• Mitigating Noise-Induced Layout Priors for Object Counting in Diffusion Models. Xiaoling Gu, Xuelong Li, Shengqi Wu, Yongkang Wong, Zizhao Wu, Huan Li, Zhou Yu, and Mohan Kankanhalli. The 43th International Conference on Machine Learning (ICML).
  DOI CONFERENCE CCF-A CORE-A*
• Same Last-Item Confusion Unveiled: A Unified Mitigation Framework for Graph Learning in Session-Based Recommendation. Jinpeng Chen, Jianxiang He, Yuan Cao, Huan Li, Zhenye Yang, Kaimin Wei, Xiongnan Jin, Senzhang Wang, and Weiping Tu. The ACM Web Conference 2026 (WWW).
  DOI CONFERENCE CCF-A CORE-A*
• VERA: Identifying and Leveraging Visual Evidence Retrieval Heads in Long-Context Understanding. Rongcan Pei, Huan Li, Fang Guo, and Qi Zhu. The 35th International Joint Conference on Artificial Intelligence (IJCAI).
  DOI CONFERENCE CCF-B CORE-A*
• LISA: Language-guided Interference-aware Spatial-Frequency Attention for Driver Gaze Estimation. Jun Ma, Zhenye Yang, Ruichen Zhou, Pei Zhang, Huan Li, and Jinpeng Chen. The 35th International Joint Conference on Artificial Intelligence (IJCAI).
  DOI CONFERENCE CCF-B CORE-A*
• TailorEdit: An Adaptive Framework for Instruction-Guided Fashion Image Editing. Xiaoling Gu, Lingda Zhu, Yongkang Wong, Zhou Yu, Huan Li, Zizhao Wu, and Mohan Kankanhalli. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).
  DOI JOURNAL CCF-B JCR Q1
• ChronosBI: Supercharging LLM-Powered Business Intelligence Pipelines with Semantic Caching and Cost Planning. Jianfeng Zhang, Lingxi Cui, Yongqin Xu, Tong Wang, Yi Guo, Zhouzhi Yang, Huan Li, Ke Chen, and Lidan Shou. 2026 ACM SIGMOD International Conference on Management of Data (SIGMOD) Demo.
  DOI CONFERENCE DEMO CCF-A CORE-A*
• ScaleSense: Cost-Intelligent Scaling Framework via Learned Resource Estimation in Alibaba AnalyticDB. Yifan Wu, Yuhan Li, Zhenhua Wang, Ke Chen, Lidan Shou, Zonghao Chen, Liang Lin, Huan Li, and Gang Chen. The 52nd International Conference on Very Large Data Bases (VLDB) Industry.
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• Bridging Classification and Reconstruction: Cooperative Time Series Anomaly Detection. Qideng Tang, Chaofan Dai, Wubin Ma, Yahui Wu, Haohao Zhou, Tao Zhang, Huan Li, and Dalin Zhang. The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• Filter-then-match: Holistic Schema Matching via Small Language Model Filtering and Large Language Model Reasoning. Yongqin Xu, Huan Li, Ke Chen, and Lidan Shou. ACM International Conference on Information and Knowledge Management (CIKM) 2026.
  DOI CONFERENCE CCF-B CORE-A
• ReBound: Relevance-Boundary Supervision for Distractor-Robust Mathematical Reasoning. Jiahui Long, Lidan Shou, Huan Li, and Ke Chen. The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings.
  DOI OPENREVIEW CONFERENCE CCF-A CORE-A
• Counterfactual Selective Imitation for Long-Horizon Agents. Chunlin Yu, Ruiqi Xu, Huan Li, and Chuliang Weng. The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings.
  DOI CONFERENCE CCF-A CORE-A
• LLM Knows, Speaks Not: Extracting Decoder-State Representations for Column Type Annotation. Lingxi Cui, Jianfeng Zhang, Huan Li, Ke Chen, and Lidan Shou. The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings.
  DOI CONFERENCE CCF-A CORE-A
• AdaCTSi: Adaptive Correlated Time Series Imputation for Changing Environments. Zhichen Lai, Huan Li, Dalin Zhang, Dong Gong, Lina Yao, and Christian S. Jensen. IEEE Transactions on Knowledge and Data Engineering (TKDE).
  DOI JOURNAL CCF-A

Year 2025

• HMI: Hierarchical knowledge management for efficient multi-tenant inference in pretrained language models. Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Qin Xie, Guiming Xie, and Xuejian Gong. The VLDB Journal (VLDBJ).
  DOI EXTENSION JOURNAL CCF-A CORE-A* IF: 4.04 (Year 2023)
• High-throughput ingestion for video warehouse: Comprehensive configuration and effective exploration. Baiyan Zhang, Zepeng Li, Dongxiang Zhang, Huan Li, Kian-Lee Tan, and Gang Chen. 2025 ACM SIGMOD International Conference on Management of Data (SIGMOD).
  DOI CONFERENCE CCF-A CORE-A*
• AlayaDB: The data foundation for efficient and effective long-context LLM inference. Yangsen Deng, [et al., including Huan Li], and Bo Tang. 2025 ACM SIGMOD International Conference on Management of Data (SIGMOD).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• SafeLoad: Efficient admission control framework for identifying memory-overloading queries in cloud data warehouses. Yifan Wu, Yuhan Li, Zhenhua Wang, Zhongle Xie, Dingyu Yang, Ke Chen, Lidan Shou, Bo Tang, Liang Lin, Huan Li, Gang Chen. The 51th International Conference on Very Large Data Bases (VLDB).
  DOI JOURNAL CONFERENCE CCF-A CORE-A*
• DeXOR: Enabling XOR in Decimal Space for Streaming Lossless Compression of Floating-point Data. Chuanyi Lv, Huan Li, Dingyu Yang, Zhongle Xie, Lu Chen, and Christian S. Jensen. The 51th International Conference on Very Large Data Bases (VLDB).
  DOI JOURNAL CONFERENCE CCF-A CORE-A*
• NLCTables: A dataset for marrying natural language conditions with table discovery. Lingxi Cui, Huan Li, Ke Chen, Lidan Shou and Gang Chen. The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• Hierarchical intent-guided optimization with pluggable LLM-Driven semantics for session-based recommendation. Jinpeng Chen, Jianxiang He, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Zhenye Yang and Ye Ji. The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• Beyond fixed variables: Expanding-variate time series forecasting via flat scheme and spatio-temporal focal learning. Minbo Ma, Kai Tang, Huan Li, Fei Teng, Dalin Zhang, Tianrui Li. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• Not all data are good labels: On the self-supervised labeling for time series forecasting. Yuxuan Yang, Dalin Zhang, Yuxuan Liang, Hua Lu, Gang Chen, Huan Li. The 39 Annual Conference on Neural Information Processing Systems (NeurIPS).
  DOI Extension CONFERENCE CCF-A CORE-A*
• CoIDO: Efficient data selection for visual instruction tuning via coupled importance-diversity optimization. Yichen Yan, Ming Zhong, Qi Zhu, Xiaoling Gu, Jinpeng Chen, Huan Li. The 39 Annual Conference on Neural Information Processing Systems (NeurIPS).
  DOI Extension CONFERENCE CCF-A CORE-A*
• Time-VLM: Exploring multimodal vision-language models for augmented time series forecasting. Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen and Yuxuan Liang. The 42th International Conference on Machine Learning (ICML).
  DOI arXiv CONFERENCE CCF-A CORE-A*
• Train Small, Infer Large: Memory-efficient LoRA training for large language models. Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Yang You, Guiming Xie, Xuejian Gong, and Kunlong Zhou. The 13th International Conference on Learning Representations (ICLR).
  DOI OPENREVIEW CONFERENCE CAAI-A CORE-A*
• Leveraging multimodal data and side users for diffusion cross-domain recommendation. Fan Zhang, Jinpeng Chen, Huan Li, et al. The 33th ACM International Conference on Multimedia (MM).
  DOI EXTENSION CONFERENCE CCF-A
• CHASe: Client heterogeneity-aware data selection for effective federated active learning. Jun Zhang, Jue Wang, Huan Li, Zhongle Xie, Ke Chen, and Lidan Shou. IEEE Transactions on Knowledge and Data Engineering (TKDE).
  DOI JOURNAL CCF-A CORE-A* JCR Top 15%
• LightTR+: A lightweight incremental framework for federated trajectory recovery. Hao Miao, Ziqiao Liu, Yan Zhao, Chenxi Liu, Chenjuan Guo, Bin Yang, Kai Zheng, Huan Li, and Christian S. Jensen. IEEE Transactions on Knowledge and Data Engineering (TKDE).
  DOI JOURNAL CCF-A CORE-A* JCR Top 15%
• PimShare: Scheduling for multi-DNN inference on processing-in-memory accelerated edge server. Xinyu Chen, Zhongle Xie, Huan Li, Ke Chen, Lidan Shou, Dawei Jiang, and Gang Chen. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
  DOI JOURNAL CCF-A JCR Top 15%
• MovSemCL: Movement-semantics contrastive learning for trajectory similarity. Zhichen Lai, Hua Lu, Huan Li, Jialiang Li, and Christian S. Jensen. The 40th AAAI Conference on Artificial Intelligence (AAAI) ORAL.
  DOI EXTENSION CONFERENCE CCF-A CORE-A
• DiMA: Distinguishing resident and tourist preferences via multi-modal LLM alignment for out-of-town cross-domain recommendation. Fan Zhang, Jinpeng Chen, Tao Wang, Huan Li, Senzhang Wang, Feifei Kou, Ji Ye, Kaimin Wei, and Zhenye Yang. The 40th AAAI Conference on Artificial Intelligence (AAAI) ORAL.
  DOI EXTENSION CONFERENCE CCF-A CORE-A
• STEP: Stepwise curriculum learning for context-knowledge fusion in conversational recommendation. Zhenye Yang, Jinpeng Chen, Huan Li, et al. The 34th ACM International Conference on Information & Knowledge Management (CIKM).
  DOI EXTENSION CONFERENCE CCF-B CORE-A
• SpecVLM: Enhancing speculative decoding of video LLMs via verifier-guided token pruning. Yicheng Ji, Jun Zhang, Heming Xia, Jinpeng Chen, Lidan Shou, Gang Chen, and Huan Li. The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP).
  DOI EXTENSION CONFERENCE CCF-B CORE-A
• Transfer-Aware data selection for domain adaptation in text retrieval. Linzhu Yu, Huan Li, Ke Chen, and Lidan Shou. The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings.
  DOI CONFERENCE CCF-B CORE-A
• T^2DR: A two-tier deficiency-resistant framework for incomplete multimodal learning. Han Lin, Xiu Tang, Huan Li, Wenxue Cao, Sai Wu, Chang Yao, Lidan Shou, and Gang Chen. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL) Findings.
  DOI CONFERENCE CCF-A
• TeQ: An open and developer-friendly testbed for edge-based query processing algorithms. Yu Lei, Xinle Jiang, Hua Lu, Christian S. Jensen, Bo Tang, and Huan Li. 2025 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD).
  DOI CONFERENCE DEMO CCF-A CORE-A*
• TableCopilot: A table assistant empowered by natural language conditional table discovery. Lingxi Cui, Guanyu Jiang, Huan Li, Ke Chen, Lidan Shou, and Gang Chen. The 50th International Conference on Very Large Data Bases (VLDB).
  DOI EXTENSION CONFERENCE DEMO CCF-A CORE-A*

Year 2024

• Eco-friendly route planning algorithms: Taxonomies, literature review and future directions. Ahmed Fahmin, Muhammad Aamir Cheema, Mohammed Eunus Ali, Adel N Toosi, Hua Lu, Huan Li, David Taniar, Hesham A Rakha, and Bojie Shen. ACM Computing Surveys.
  DOI JOURNAL CORE-A* JCR Top 5% IF: 23.8 (Year 2023)
• HyperMR: Efficient hypergraph-enhanced matrix storage on compute-in-memory architecture. Yifan Wu, Ke Chen, Gang Chen, Dawei Jiang, Huan Li, and Lidan Shou. 2025 ACM SIGMOD International Conference on Management of Data (SIGMOD).
  DOI CONFERENCE CCF-A CORE-A*
• BoKA: Bayesian optimization based knowledge amalgamation for multi-unknown-domain text classification. Linzhu Yu, Huan Li, Ke Chen, and Lidan Shou. The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).
  DOI CONFERENCE CCF-A CORE-A*
• ReCTSi: Resource-efficient correlated time series imputation via decoupled pattern learning and completeness-aware attentions. Zhichen Lai, Dalin Zhang, Huan Li, Dongxiang Zhang, Hua Lu, and Christian S. Jensen. The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).
  DOI CONFERENCE CCF-A CORE-A*
• Revisiting CNNs for trajectory similarity learning. Zhihao Chang, Linzhu Yu, Huan Li, Sai Wu, Gang Chen, and Dongxiang Zhang. The 50th International Conference on Very Large Data Bases (VLDB).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• Draft & verify: Lossless large language model acceleration via self-speculative decoding. Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, and Sharad Mehrotra. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• E2USD: Efficient-yet-effective unsupervised state detection for multivariate time series. Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, and Christian S. Jensen. The ACM Web Conference 2024 (WWW) ORAL.
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• LightTR: A lightweight framework for federated trajectory recovery. Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, and Huan Li. The 40th IEEE International Conference on Data Engineering (ICDE).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• LightCTS*: Lightweight correlated time series forecasting enhanced with model distillation. Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, and Yan Zhao. IEEE Transactions on Knowledge and Data Engineering (TKDE).
  DOI JOURNAL CCF-A CORE-A* JCR Top 15%
• Modeling and monitoring of indoor populations using sparse positioning data. Xiao Li, Huan Li, Hua Lu, and Christian S. Jensen. IEEE Transactions on Knowledge and Data Engineering (TKDE).
  DOI EXTENSION JOURNAL CCF-A CORE-A* JCR Top 15%
• FRAME: Feature rectification for class imbalance learning. Xu Cheng, Fan Shi, Yao Zhang, Huan Li, Xiufeng Liu, and Shengyong Chen. IEEE Transactions on Knowledge and Data Engineering (TKDE).
  DOI JOURNAL CCF-A CORE-A* JCR Top 15%
• CogSQL: A Cognitive framework for enhancing large language models in text-to-SQL translation. Hongwei Yuan, Xiu Tang, Ke Chen, Lidan Shou, Gang Chen, and Huan Li. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI).
  DOI CONFERENCE CCF-A CORE-A*
• Contact tracing over uncertain indoor positioning data (extended abstract). Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, and Harry Kai-Ho Chan. The 40th IEEE International Conference on Data Engineering (ICDE).
  DOI POSTER CONFERENCE CCF-A CORE-A*
• PACIFIC: Enhancing sequential recommendation via preference-aware causal intervention and counterfactual data augmentation. Jinpeng Chen, Huachen Guan, Huan Li, Fan Zhang, Liwei Huang, Guangyao Pang, and Xiongnan Jin. The 33rd ACM International Conference on Information & Knowledge Management (CIKM).
  DOI CONFERENCE CCF-B CORE-A
• EMPNet: An Extract-Map-Predict neural network architecture for cross-domain recommendation. Jinpeng Chen, Fan Zhang, Huan Li, Hua Lu, Xiongnan Jin, Kuien Liu, Hongjun Li, and Yongheng Wang. World Wide Web Journal.
  DOI JOURNAL CCF-B SJR Q1

Year 2023

• Contact tracing over uncertain indoor positioning data. Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, and Harry Kai-Ho Chan. IEEE Transactions on Knowledge and Data Engineering (TKDE).
  DOI EXTENSION JOURNAL CCF-A CORE-A* JCR Top 15%
• Worker-churn-based task assignment with context-LSTM in spatial crowdsourcing. Yan Zhao, Tinghao Lai, Ziwei Wang, Kaixuan Chen, Huan Li, and Kai Zheng. IEEE Transactions on Knowledge and Data Engineering (TKDE).
  DOI JOURNAL CCF-A CORE-A* JCR Top 15%
• LightCTS: A lightweight framework for correlated time series forecasting. Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, and Yan Zhao. 2023 ACM SIGMOD International Conference on Management of Data (SIGMOD).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• Missing value imputation for multi-attribute sensor data streams via message propagation. Xiao Li, Huan Li, Hua Lu, Christian S. Jensen, Varun Pandey, and Volker Markl. The 49th International Conference on Very Large Data Bases (VLDB).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• Data imputation for sparse radio maps in indoor positioning. Xiao Li, Huan Li, Harry Kai-Ho Chan, Hua Lu, and Christian S. Jensen. The 39th IEEE International Conference on Data Engineering (ICDE).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• Preventing the popular item embedding based attack in federated recommendations. Jun Zhang, Huan Li, Dazhong Rong, Yan Zhao, Ke Chen, and Lidan Shou. The 40th IEEE International Conference on Data Engineering (ICDE).
  DOI CONFERENCE CCF-A CORE-A*
• FedBFPT: An efficient federated learning framework for Bert further pre-training. Xin'ao Wang, Huan Li, Ke Chen, and Lidan Shou. The 32nd International Joint Conference on Artificial Intelligence (IJCAI).
  DOI CONFERENCE CCF-A CORE-A*
• Review on session-based recommendation methods. Jinpeng Chen, Haiyang Li, Fan Zhang, Huan Li, and Kaimin Wei. Journal of Chinese Information Processing.
  DOI JOURNAL CCF-T1
• TPUF: Enhancing cross-domain sequential recommendation via transferring pre-trained user features. Yujia Ding, Huan Li, Ke Chen, and Lidan Shou. The 32nd ACM International Conference on Information & Knowledge Management (CIKM).
  DOI CONFERENCE CCF-B CORE-A
• Time-constrained indoor keyword-aware routing: Foundations and extensions. Harry Kai-Ho Chan, Tiantian Liu, Huan Li, and Hua Lu. Geoinformatica (Special Issue of SSTD21 Best Papers).
  DOI JOURNAL CCF-B SJR Q1
• Efficiently computing alternative paths in game maps. Lingxiao Li, Muhammad Aamir Cheema, Mohammed Eunus Ali, Hua Lu, and Huan Li. World Wide Web Journal.
  DOI JOURNAL CCF-B SJR Q1

Year 2022

• Spatial data quality in the Internet of Things: Management, exploitation, and prospects. Huan Li, Hua Lu, Christian S. Jensen, Bo Tang, and Muhammad Aamir Cheema. ACM Computing Surveys, 55(3) No.26: 1-41.
  DOI GREEN OPENACCESS JOURNAL CORE-A* JCR Top 5% IF: 16.2 (Year 2022)
• Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty. Huan Li, Tiantian Liu, Harry Kai-Ho Chan, and Hua Lu. Frontiers in Big Data, Rising Stars in Data Mining and Management 2022.
  DOI JOURNAL SJR Q1
• Spatial data quality in the IoT era: Management and exploitation. Huan Li, Bo Tang, Hua Lu, Muhammad Aamir Cheema, and Christian S. Jensen. 2022 ACM SIGMOD International Conference on Management of Data (SIGMOD).
  DOI GREEN OPENACCESS CONFERENCE CCF-A CORE-A*
• GHive: A demonstration of GPU-accelerated query processing in Apache Hive. Haotian Liu, Bo Tang, [et al., including Huan Li]. 2022 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD).
  DOI CONFERENCE CCF-A CORE-A*
• Efficient and error-bounded spatiotemporal quantile monitoring in edge computing environments. Huan Li, Lanjing Yi, Bo Tang, Hua Lu, and Christian S. Jensen. The 48th International Conference on Very Large Data Bases (VLDB).
  DOI GREEN OPENACCESS CONFERENCE CCF-A CORE-A*
• Continuous social distance monitoring in indoor space. Harry Kai-Ho Chan, Huan Li, Xiao Li, and Hua Lu. The 48th International Conference on Very Large Data Bases (VLDB).
  DOI CONFERENCE CCF-A CORE-A*
• IKAROS: An indoor keyword-aware routing system. Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Lidan Shou, and Jianliang Xu. The 38th IEEE International Conference on Data Engineering (ICDE).
  DOI CONFERENCE CCF-A CORE-A*
• GHive: Accelerating analytical query processing in Apache Hive via CPU-GPU heterogeneous computing. Haotian Liu, Bo Tang, [et al., including Huan Li]. 13th Symposium on Cloud Computing (ACM SoCC) -- SIGMOD and SIGOPS co-sponsored.
  DOI CONFERENCE CCF-B
• Diverse shortest paths in game maps: A comparative user study and experiments. Lingxiao Li, Muhammad Aamir Cheema, Mohammed Eunus Ali, Hua Lu, and Huan Li. 2022 Australasian Database Conference (ADC).
  DOI ONLINE MATERIAL CONFERENCE CORE-B BEST PAPER RUNNER-UP
• Towards a question answering system over temporal knowledge graph embedding. Kristian Otte, Kristian Simoni Vestermark, Huan Li, and Daniele Dell'Aglio. The International Workshop on Deep Learning for Knowledge Graphs (DL4KG).
  DOI WORKSHOP BEST PAPER

Year 2021

• Towards indoor temporal-variation aware shortest path query. Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, and Jianliang Xu. IEEE Transactions on Knowledge and Data Engineering (TKDE).
  DOI JOURNAL CCF-A CORE-A* JCR Top 15%
• Towards crowd-aware indoor path planning. Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, and Lidan Shou. The 47th International Conference on Very Large Data Bases (VLDB).
  DOI EXTENSION CONFERENCE CCF-A CORE-A*
• Indoor spatial queries: Modeling, indexing, and processing. Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, and Lidan Shou. The 24th International Conference on Extending Database Technology (EDBT).
  DOI EXTENSION CONFERENCE CORE-A
• Time-constrained indoor keyword-aware routing. Harry Kai-Ho Chan, Tiantian Liu, Huan Li, and Hua Lu. The 17th International Symposium on Spatial and Temporal Databases (SSTD).
  DOI CONFERENCE CORE-A BEST PAPER RUNNER-UP
• Impact of COVID-19 on adoption of IoT in healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT. Muhammad Umair, Muhammad Aamir Cheema, Omer Cheema, Huan Li, and Hua Lu. MDPI Sensors, 21(11), 3838.
  DOI EXTENSION JOURNAL JCR Top 20% SJR Q1

Year 2020

• Toward translating raw indoor positioning data into mobility semantics. Huan Li, Hua Lu, Gang Chen, Ke Chen, Qinkuang Chen, and Lidan Shou. ACM/IMS Transactions on Data Science (TDS), 1(4) No.26: 1-37.
  DOI JOURNAL
• Indoor mobility semantics annotation using coupled conditional Markov networks. Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou, and Gang Chen. The 36th IEEE International Conference on Data Engineering (ICDE).
  DOI CONFERENCE CCF-A CORE-A*
• Shortest path queries for indoor venues with temporal variations. Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, and Jianliang Xu. The 36th IEEE International Conference on Data Engineering (ICDE).
  DOI CONFERENCE CCF-A CORE-A*
• Indoor top-k keyword-aware routing query. Zijin Feng, Tiantian Liu, Huan Li, Hua Lu, Lidan Shou, and Jianliang Xu. The 36th IEEE International Conference on Data Engineering (ICDE).
  DOI CONFERENCE CCF-A CORE-A*

Year 2019

• Finding most popular indoor semantic locations using uncertain mobility data. Huan Li, Hua Lu, Lidan Shou, Gang Chen, and Ke Chen. IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(11): 2108-2123.
  DOI JOURNAL CCF-A CORE-A* JCR Top 15%
• Finding most popular indoor semantic locations using uncertain mobility data (extended abstract). Huan Li, Hua Lu, Lidan Shou, Gang Chen, and Ke Chen. The 35th IEEE International Conference on Data Engineering (ICDE).
  DOI POSTER CONFERENCE CCF-A CORE-A*
• In search of indoor dense regions: An approach using indoor positioning data (extended abstract). Huan Li, Hua Lu, Lidan Shou, Gang Chen, and Ke Chen. The 35th IEEE International Conference on Data Engineering (ICDE).
  DOI POSTER CONFERENCE CCF-A CORE-A*

Year 2018 and Before

• TRIPS: A system for translating raw indoor positioning data into visual mobility semantics. Huan Li, Hua Lu, Feichao Shi, Gang Chen, Ke Chen, and Lidan Shou. The 44th International Conference on Very Large Data Bases (VLDB).
  DOI CONFERENCE CCF-A CORE-A*
• Vita: A versatile toolkit for generating indoor mobility data for real-world buildings. Huan Li, Hua Lu, Xin Chen, Gang Chen, Ke Chen, and Lidan Shou. The 42nd International Conference on Very Large Data Bases (VLDB).
  DOI CONFERENCE CCF-A CORE-A*
• In search of indoor dense regions: An approach using indoor positioning data. Huan Li, Hua Lu, Lidan Shou, Gang Chen, and Ke Chen. IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(8): 1481-1495.
  DOI RESOURCES JOURNAL CCF-A CORE-A* JCR Top 15%
• E2C2: Efficient and effective camera calibration in indoor environments. Huan Li, Pai Peng, Hua Lu, Lidan Shou, Ke Chen, and Gang Chen. The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp).
  DOI CONFERENCE CCF-A CORE-A*

For the provision of code, data, and supplementary materials (e.g., slides, posters, and videos) associated with the publications, please write to me via email.