Publications

LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (Extended Version)
A standardized and modular framework for evaluating LLM-powered automated tabular feature engineering.
Ankai Hao, Ke Chen, Huan Li, Lidan Shou
arXiv preprint, 2026 Preprint
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MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare
A benchmark for evaluating memory behavior in personalized healthcare agents over long-horizon medical interactions.
Yihao Wang, Haoran Xu, Renjie Gu, Yixuan Ye, Xinyi Chen, Xinyu Mu, Yuan Gao, Chunxiao Guo, Peng Wei, Jinjie Gu, Huan Li, Ke Chen, Lidan Shou
arXiv preprint, 2026 Preprint
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Forcing-KV: Hybrid KV Cache Compression for Efficient Autoregressive Video Diffusion Models
A public preprint and open-source result that reports over 29 FPS, 30% cache-memory reduction, and up to 2.82× speedup at 1080P.
Yicheng Ji, Zhizhou Zhong, Jun Zhang, Qin Yang, XiTai Jin, Ying Qin, Wenhan Luo, Shuiyang Mao, Wei Liu, Huan Li
arXiv preprint, 2026 Preprint
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Token Economics for LLM Agents: A Dual-View Study from Computing and Economics
A survey that studies token economics for LLM agents from computing and economics perspectives.
Yuxi Chen, Junming Chen, Chenyu He, Yiwei Li, Yicheng Ji, Yifan Wu, Dingyu Yang, Lansong Diao, Lidan Shou, Hongliang Zhang, Huan Li, Gang Chen
arXiv preprint, 2026 Preprint
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VERA: Identifying and Leveraging Visual Evidence Retrieval Heads in Long-Context Understanding
While Vision-Language Models (VLMs) have shown promise in textual understanding, they face significant challenges when handling long …
Rongcan Pei, Huan Li, Fang Guo, Qi Zhu
The 35th International Joint Conference on Artificial Intelligence (IJCAI), 2026 Conference Rankings: CCF-B · CORE-A*
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TailorEdit: An Adaptive Framework for Instruction-Guided Fashion Image Editing
Fashion image editing has garnered significant attention due to its growing demand in e-commerce, social media, and virtual try-on …
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), 2026 Journal Rankings: CCF-B
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Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI
Machine learning (ML) on tabular data is ubiquitous, yet obtaining abundant high-quality tabular data for model training remains a …
Lingxi Cui, Huan Li, Ke Chen, Lidan Shou, Gang Chen
ACM Computing Surveys, 2026 Journal Rankings: CCF-A · CORE-A* · IF: 23.8 (Year 2023)
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See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs
Video Large Language Models (Video-LLMs) excel in video understanding but suffer from high inference latency during autoregressive …
Yicheng Ji, Jun Zhang, Jinpeng Chen, Cong Wang, Lidan Shou, Gang Chen, Huan Li
The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026 Conference Rankings: CCF-A · CORE-A*
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ScaleSense: Cost-Intelligent Scaling Framework via Learned Resource Estimation in Alibaba AnalyticDB
Cloud-native serverless data warehouses achieve fine-grained elasticity by decoupling storage from compute, yet determining the optimal …
Yifan Wu, Yuhan Li, Zhenhua Wang, Ke Chen, Lidan Shou, Zonghao Chen, Liang Lin, Huan Li, Gang Chen
The 52nd International Conference on Very Large Data Bases (VLDB) Industry, 2026 Conference Rankings: CCF-A · CORE-A*
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Same Last-Item Confusion Unveiled: A Unified Mitigation Framework for Graph Learning in Session-Based Recommendation
Session-based recommendation (SBR), which focuses on next-item prediction for anonymous users based on short-term interaction …
Jinpeng Chen, Jianxiang He, Yuan Cao, Huan Li, Zhenye Yang, Kaimin Wei, Xiongnan Jin, Senzhang Wang, Weiping Tu
The ACM Web Conference 2026 (WWW), 2026 Conference Rankings: CCF-A · CORE-A*
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RedParrot: Accelerating NL-to-DSL for Business Analytics via Query Semantic Caching
Recently, at Xiaohongshu, the rapid expansion of e-commerce and advertising demands real-time business analytics with high accuracy and …
Tong Wang, Yongqin Xu, Jianfeng Zhang, Lingxi Cui, Wenqing Wei, Suzhou Chen, Huan Li, Ke Chen, Lidan Shou
The 42nd IEEE International Conference on Data Engineering (ICDE) Industry, 2026 Conference Rankings: CCF-A · CORE-A*
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ReBound: Relevance-Boundary Supervision for Distractor-Robust Mathematical Reasoning
ReBound: Relevance-Boundary Supervision for Distractor-Robust Mathematical Reasoning. Venue: The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings; year: 2026.
Jiahui Long, Lidan Shou, Huan Li, Ke Chen
The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings, 2026 Conference Rankings: CCF-A · CORE-A
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ParallelVLM: Lossless Video-LLM Acceleration with Visual Alignment Aware Parallel Speculative Decoding
Although current Video-LLMs achieve impressive performance in video understanding tasks, their autoregressive decoding efficiency …
Quan Kong, Yuhao Shen, Yicheng Ji, Huan Li, Cong Wang
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 Conference Rankings: CCF-A · CORE-A*
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Mitigating Noise-Induced Layout Priors for Object Counting in Diffusion Models
Despite remarkable progress in text-to-image diffusion models, accurately generating the specified number of objects remains a …
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), 2026 Conference Rankings: CCF-A · CORE-A*
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M4REC: Multi-Modal Knowledge Graph Modeling of Multi-Dimensional User Preferences for Next-POI Recommendation
Next Point-of-interest (POI) recommendation has been widely used in real scenarios to predict the next possible location based on user …
Jinpeng Chen, Fan Zhang, Huan Li, Hua Lu, Kaimin Wei, Senzhang Wang, Christian S. Jensen
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026 Journal Rankings: CCF-A · CORE-A*
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LLM Knows, Speaks Not: Extracting Decoder-State Representations for Column Type Annotation
LLM Knows, Speaks Not: Extracting Decoder-State Representations for Column Type Annotation. Venue: The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings; year: 2026.
Lingxi Cui, Jianfeng Zhang, Huan Li, Ke Chen, Lidan Shou
The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings, 2026 Conference Rankings: CCF-A · CORE-A
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LISA: Language-guided Interference-aware Spatial-Frequency Attention for Driver Gaze Estimation
Driver gaze estimation serves as a fundamental metric for evaluating driver attentiveness in modern monitoring systems. Beyond being …
Jun Ma, Zhenye Yang, Ruichen Zhou, Pei Zhang, Huan Li, Jinpeng Chen
The 35th International Joint Conference on Artificial Intelligence (IJCAI), 2026 Conference Rankings: CCF-B · CORE-A*
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HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference
Multimodal Large Language Models (MLLMs) have advanced unified reasoning over text, images, and videos, but their inference is hindered …
Bowen Zeng, Feiyang Ren, Jun Zhang, Xiaoling Gu, Ke Chen, Lidan Shou, Huan Li
The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026 Conference Rankings: CCF-A · CORE-A*
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HARD-KV: Head-Adaptive Regularization for Decoding-time KV Compression
Long-context LLM inference faces a fundamental conflict: head-adaptive compression algorithms (e.g., Top-p nucleus sampling) offer …
Yuxuan Yang, Feiyang Ren, Bowen Zeng, Dalin Zhang, Jinpeng Chen, Gang Chen, Huan Li
The 43th International Conference on Machine Learning (ICML), 2026 Conference Rankings: CCF-A · CORE-A*
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Filter-then-match: Holistic Schema Matching via Small Language Model Filtering and Large Language Model Reasoning
Filter-then-match: Holistic Schema Matching via Small Language Model Filtering and Large Language Model Reasoning. Venue: ACM International Conference on Information and Knowledge Management (CIKM) 2026; year: 2026.
Yongqin Xu, Huan Li, Ke Chen, Lidan Shou
ACM International Conference on Information and Knowledge Management (CIKM) 2026, 2026 Conference CIKM Rankings: CCF-B · CORE-A
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Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects
Large Vision-Language Models (LVLMs) enable sophisticated reasoning over images and videos, yet their inference is hindered by a …
The 64th Annual Meeting of the Association for Computational Linguistics (ACL) Findings, 2026 Conference Rankings: CCF-A
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Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism
Parallel Speculative Decoding (PSD) accelerates traditional Speculative Decoding (SD) by overlapping draft generation with …
Yuhao Shen, Tianyu Liu, Junyi Shen, Jinyang Wu, Quan Kong, Huan Li, Cong Wang
The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026 Conference Rankings: CCF-A · CORE-A*
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Counterfactual Selective Imitation for Long-Horizon Agents
Counterfactual Selective Imitation for Long-Horizon Agents. Venue: The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings; year: 2026.
Chunlin Yu, Ruiqi Xu, Huan Li, Chuliang Weng
The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings, 2026 Conference Rankings: CCF-A · CORE-A
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ChronosBI: Supercharging LLM-Powered Business Intelligence Pipelines with Semantic Caching and Cost Planning
Modern business intelligence (BI) systems increasingly rely on large language models (LLMs) to translate natural language (NL) queries …
Jianfeng Zhang, Lingxi Cui, Yongqin Xu, Tong Wang, Yi Guo, Zhouzhi Yang, Huan Li, Ke Chen, Lidan Shou
2026 ACM SIGMOD International Conference on Management of Data (SIGMOD) Demo, 2026 Demo Rankings: CCF-A · CORE-A*
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Bridging Classification and Reconstruction: Cooperative Time Series Anomaly Detection
Time series anomaly detection (TSAD) has long been a hot research topic in data mining due to its various applications. Recent studies …
Qideng Tang, Chaofan Dai, Wubin Ma, Yahui Wu, Haohao Zhou, Tao Zhang, Huan Li, Dalin Zhang
The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026 Conference Rankings: CCF-A · CORE-A*
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AdaCTSi: Adaptive Correlated Time Series Imputation for Changing Environments
Imputation is a well-established data cleaning task within the database community, with deep learning leading the research frontier. In …
Zhichen Lai, Huan Li, Dalin Zhang, Dong Gong, Lina Yao, and Christian S. Jensen
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026 Journal Rankings: CCF-A
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Data Quality Management for Large Vision-Language Models: Issues, Techniques, and Prospects
A survey that introduces the ARC framework for availability, reliability, and credibility in large vision-language model data quality.
Yichen Yan, Zhaoyi Yuan, Jiajun Pan, Xiu Tang, Gongsheng Yuan, Xiaoling Gu, Jinpeng Chen, Sai Wu, Ke Chen, Mingli Song, Lidan Shou, Huan Li, Gang Chen
TechRxiv preprint, 2025 Preprint
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Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval
Domain adaptation is widely adopted in text retrieval scenarios where large labeled data is unavailable. To improve model adaptability, …
Linzhu Yu, Huan Li, Ke Chen, Lidan Shou
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings, 2025 Conference Rankings: CCF-B · CORE-A
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Train Small, Infer Large: Memory-efficient LoRA training for large language models
Large Language Models (LLMs) have significantly advanced natural language processing with exceptional task generalization capabilities. …
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), 2025 Conference Rankings: CORE-A*
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Time-VLM: Exploring multimodal vision-language models for augmented time series forecasting
Recent advancements in time series forecasting have explored augmenting models with text or vision modalities to improve accuracy. …
Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang
The 42th International Conference on Machine Learning (ICML), 2025 Conference Rankings: CCF-A · CORE-A*
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TeQ: An open and developer-friendly testbed for edge-based query processing algorithms
Edge computing is ideally suited for querying populations of fast data streams. However, developing and evaluating edge-based query …
Yu Lei, Xinle Jiang, Hua Lu, Christian S. Jensen, Bo Tang, Huan Li
2025 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), 2025 Conference Rankings: CCF-A · CORE-A*
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TableCopilot: A table assistant empowered by natural language conditional table discovery
The rise of LLM has enabled natural language-based table assistants, but existing systems assume users already have a well-formed …
Lingxi Cui, Guanyu Jiang, Huan Li, Ke Chen, Lidan Shou, Gang Chen
The 50th International Conference on Very Large Data Bases (VLDB), 2025 Conference Rankings: CCF-A · CORE-A*
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T^2DR: A two-tier deficiency-resistant framework for incomplete multimodal learning
Multimodal learning is garnering significant attention for its capacity to represent diverse human perceptions (e.g., linguistic, …
Han Lin, Xiu Tang, Huan Li, Wenxue Cao, Sai Wu, Chang Yao, Lidan Shou, Gang Chen
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL) Findings, 2025 Conference Rankings: CCF-A
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STEP: Stepwise curriculum learning for context-knowledge fusion in conversational recommendation
Conversational recommender systems (CRSs) aim to proactively capture user preferences through natural language dialogue and recommend …
Zhenye Yang, Jinpeng Chen, Huan Li, et al
The 34th ACM International Conference on Information & Knowledge Management (CIKM), 2025 Conference Rankings: CCF-B · CORE-A
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SpecVLM: Enhancing speculative decoding of video LLMs via verifier-guided token pruning
Video large language models (Vid-LLMs) have shown strong capabilities in understanding video content. However, their reliance on dense …
Yicheng Ji, Jun Zhang, Heming Xia, Jinpeng Chen, Lidan Shou, Gang Chen, Huan Li
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025 Conference Rankings: CCF-B · CORE-A
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SafeLoad: Efficient admission control framework for identifying memory-overloading queries in cloud data warehouses
Memory overload is a common form of resource exhaustion in cloud data warehouses. When database queries fail due to memory overload, it …
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), 2025 Conference Rankings: CCF-A · CORE-A*
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PimShare: Scheduling for multi-DNN inference on processing-in-memory accelerated edge server
Deep neural network (DNN) models are crucial for Internet-of-Things (IoT) applications. In a multi-access edge computing (MEC) system, …
Xinyu Chen, Zhongle Xie, Huan Li, Ke Chen, Lidan Shou, Dawei Jiang, Gang Chen
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025 Journal Rankings: CCF-A
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Not all data are good labels: On the self-supervised labeling for time series forecasting
Time Series Forecasting (TSF) is a crucial task in various domains, yet existing TSF models rely heavily on high-quality data and …
Yuxuan Yang, Dalin Zhang, Yuxuan Liang, Hua Lu, Gang Chen, Huan Li
The 39 Annual Conference on Neural Information Processing Systems (NeurIPS), 2025 Conference Rankings: CCF-A · CORE-A*
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NLCTables: A dataset for marrying natural language conditions with table discovery
With the growing abundance of repositories containing tabular data, discovering relevant tables for in-depth analysis remains a …
Lingxi Cui, Huan Li, Ke Chen, Lidan Shou, Gang Chen
The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Conference Rankings: CCF-A · CORE-A*
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MovSemCL: Movement-semantics contrastive learning for trajectory similarity
Trajectory similarity computation is fundamental functionality that is used for, e.g., clustering, prediction, and anomaly detection. …
Zhichen Lai, Hua Lu, Huan Li, Jialiang Li, Christian S. Jensen
The 40th AAAI Conference on Artificial Intelligence (AAAI) ORAL, 2025 Conference Rankings: CCF-A · CORE-A
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LightTR+: A lightweight incremental framework for federated trajectory recovery
With the proliferation of GPS-equipped edge devices, huge trajectory data are generated and accumulated in various domains, driving …
Hao Miao, Ziqiao Liu, Yan Zhao, Chenxi Liu, Chenjuan Guo, Bin Yang, Kai Zheng, Huan Li, Christian S. Jensen
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025 Journal Rankings: CCF-A · CORE-A*
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Leveraging multimodal data and side users for diffusion cross-domain recommendation
Cross-domain recommendation (CDR) aims to address the persistent cold-start problem in Recommender Systems. Current CDR research …
Fan Zhang, Jinpeng Chen, Huan Li, et al
The 33th ACM International Conference on Multimedia (MM), 2025 Conference Rankings: CCF-A
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HMI: Hierarchical knowledge management for efficient multi-tenant inference in pretrained language models
The significant computational demands of pretrained language models (PLMs), which often require dedicated hardware, present a …
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Qin Xie, Guiming Xie, Xuejian Gong
The VLDB Journal (VLDBJ), 2025 Journal Rankings: CCF-A · CORE-A* · IF: 4.04 (Year 2023)
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High-throughput ingestion for video warehouse: Comprehensive configuration and effective exploration
The innovative concept of Video Extract-Transform-Load (V-ETL), recently proposed in Skyscraper, reinterprets large-scale video …
Baiyan Zhang, Zepeng Li, Dongxiang Zhang, Huan Li, Kian-Lee Tan, Gang Chen
2025 ACM SIGMOD International Conference on Management of Data (SIGMOD), 2025 Conference Rankings: CCF-A · CORE-A*
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Hierarchical intent-guided optimization with pluggable LLM-Driven semantics for session-based recommendation
Session-based Recommendation (SBR) aims to predict the next item a user will likely engage with, using their interaction sequence …
Jinpeng Chen, Jianxiang He, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Zhenye Yang, Ye Ji
The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Conference Rankings: CCF-A · CORE-A*
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DiMA: Distinguishing resident and tourist preferences via multi-modal LLM alignment for out-of-town cross-domain recommendation
Out-of-Town (OOT) recommendation aims to provide personalized suggestions for users in unfamiliar cities. However, OOT 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, 2025 Conference Rankings: CCF-A · CORE-A
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DeXOR: Enabling XOR in Decimal Space for Streaming Lossless Compression of Floating-point Data
With streaming floating-point numbers being increasingly prevalent, effective and efficient compression of such data is critical. …
Chuanyi Lv, Huan Li, Dingyu Yang, Zhongle Xie, Lu Chen, Christian S. Jensen
The 51th International Conference on Very Large Data Bases (VLDB), 2025 Conference Rankings: CCF-A · CORE-A*
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CoIDO: Efficient data selection for visual instruction tuning via coupled importance-diversity optimization
Multimodal large language models (MLLMs) rely heavily on instruction tuning to align vision and language capabilities, yet the …
Yichen Yan, Ming Zhong, Qi Zhu, Xiaoling Gu, Jinpeng Chen, Huan Li
The 39 Annual Conference on Neural Information Processing Systems (NeurIPS), 2025 Conference Rankings: CCF-A · CORE-A*
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CHASe: Client heterogeneity-aware data selection for effective federated active learning
Active learning (AL) reduces human annotation costs for machine learning systems by strategically selecting the most informative …
Jun Zhang, Jue Wang, Huan Li, Zhongle Xie, Ke Chen, Lidan Shou
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025 Journal Rankings: CCF-A · CORE-A*
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Beyond fixed variables: Expanding-variate time series forecasting via flat scheme and spatio-temporal focal learning
Multivariate Time Series Forecasting (MTSF) has long been a key research focus. Traditionally, these studies assume a fixed number of …
Minbo Ma, Kai Tang, Huan Li, Fei Teng, Dalin Zhang, Tianrui Li
The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025 Conference Rankings: CCF-A · CORE-A*
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AlayaDB: The data foundation for efficient and effective long-context LLM inference
AlayaDB is a cutting-edge vector database system natively architected for efficient and effective long-context inference for Large …
Yangsen Deng, [et al., including Huan Li], and Bo Tang
2025 ACM SIGMOD International Conference on Management of Data (SIGMOD), 2025 Conference Rankings: CCF-A · CORE-A*
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KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs
A knowledge-compliant framework for schema and entity matching with fine-tuning-free large language models.
Yongqin Xu, Huan Li, Ke Chen, Lidan Shou
arXiv preprint, 2024 Preprint
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Revisiting CNNs for trajectory similarity learning
Similarity search is a fundamental but expensive operator in querying trajectory data, due to its quadratic complexity of distance …
Zhihao Chang, Linzhu Yu, Huan Li, Sai Wu, Gang Chen, Dongxiang Zhang
The 50th International Conference on Very Large Data Bases (VLDB), 2024 Conference Rankings: CCF-A · CORE-A*
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ReCTSi: Resource-efficient correlated time series imputation via decoupled pattern learning and completeness-aware attentions
Imputation of Correlated Time Series (CTS) is essential in data preprocessing for many tasks, particularly when sensor data is often …
Zhichen Lai, Dalin Zhang, Huan Li, Dongxiang Zhang, Hua Lu, Christian S. Jensen
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024 Conference Rankings: CCF-A · CORE-A*
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PACIFIC: Enhancing sequential recommendation via preference-aware causal intervention and counterfactual data augmentation
Sequential recommendation has been receiving increasing attention from researchers. Existing sequential recommendation models leverage …
Jinpeng Chen, Huachen Guan, Huan Li, Fan Zhang, Liwei Huang, Guangyao Pang, Xiongnan Jin
The 33rd ACM International Conference on Information & Knowledge Management (CIKM), 2024 Conference Rankings: CCF-B · CORE-A
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Modeling and monitoring of indoor populations using sparse positioning data
In large venues like shopping malls and airports, knowledge on the indoor populations fuels applications such as business analytics, …
Xiao Li, Huan Li, Hua Lu, Christian S. Jensen
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Journal Rankings: CCF-A · CORE-A*
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LightTR: A lightweight framework for federated trajectory recovery
With the proliferation of GPS-equipped edge devices, huge trajectory data is generated and accumulated in various domains, motivating a …
Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li
The 40th IEEE International Conference on Data Engineering (ICDE), 2024 Conference Rankings: CCF-A · CORE-A*
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LightCTS*: Lightweight correlated time series forecasting enhanced with model distillation
Correlated time series (CTS) forecasting is essential in many practical applications, such as traffic management and server load …
Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, Yan Zhao
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Journal Rankings: CCF-A · CORE-A*
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HyperMR: Efficient hypergraph-enhanced matrix storage on compute-in-memory architecture
Matrix-vector multiplication (MVM) operations, essential for modern hardware architectures, suffer from heavy I/O overheads and costly …
Yifan Wu, Ke Chen, Gang Chen, Dawei Jiang, Huan Li, Lidan Shou
2025 ACM SIGMOD International Conference on Management of Data (SIGMOD), 2024 Conference Rankings: CCF-A · CORE-A*
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FRAME: Feature rectification for class imbalance learning
Class imbalance learning is a challenging task in machine learning applications. To balance training data, traditional class imbalance …
Xu Cheng, Fan Shi, Yao Zhang, Huan Li, Xiufeng Liu, Shengyong Chen
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Journal Rankings: CCF-A · CORE-A*
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EMPNet: An Extract-Map-Predict neural network architecture for cross-domain recommendation
Cross-domain recommendation leverages a user’s historical interactions in the auxiliary domain to suggest items within the target …
Jinpeng Chen, Fan Zhang, Huan Li, Hua Lu, Xiongnan Jin, Kuien Liu, Hongjun Li, Yongheng Wang
World Wide Web Journal, 2024 Journal Rankings: CCF-B
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Eco-friendly route planning algorithms: Taxonomies, literature review and future directions
Eco-friendly navigation (a.k.a. eco-routing) finds a route from A to B in a road network that minimizes the greenhouse gas (GHG) …
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, 2024 Journal Rankings: CORE-A* · IF: 23.8 (Year 2023)
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E2USD: Efficient-yet-effective unsupervised state detection for multivariate time series
Cyber-physical system sensors emit multivariate time series (MTS) that monitor physical system processes. Such time series generally …
Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, Christian S. Jensen
The ACM Web Conference 2024 (WWW) ORAL, 2024 Conference Rankings: CCF-A · CORE-A*
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Draft & verify: Lossless large language model acceleration via self-speculative decoding
We present a novel inference scheme, self-speculative decoding, for accelerating Large Language Models (LLMs) without the need for an …
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024 Conference Rankings: CCF-A · CORE-A*
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Contact tracing over uncertain indoor positioning data (extended abstract)
Pandemics like COVID-19 often cause dramatic losses of human lives and societal impacts, urging efficient and effective contact …
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Harry Kai-Ho Chan
The 40th IEEE International Conference on Data Engineering (ICDE), 2024 Conference Rankings: CCF-A · CORE-A*
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CogSQL: A Cognitive framework for enhancing large language models in text-to-SQL translation
Large language models (LLMs) have significantly advanced the performance of various natural language processing tasks, including …
Hongwei Yuan, Xiu Tang, Ke Chen, Lidan Shou, Gang Chen, Huan Li
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024 Conference Rankings: CCF-A · CORE-A*
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BoKA: Bayesian optimization based knowledge amalgamation for multi-unknown-domain text classification
With breakthroughs in pretrained language models, a large number of finetuned models specialized in distinct domains have surfaced …
Linzhu Yu, Huan Li, Ke Chen, Lidan Shou
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024 Conference Rankings: CCF-A · CORE-A*
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Worker-churn-based task assignment with context-LSTM in spatial crowdsourcing
The pervasiveness of GPS-enabled devices and wireless communication technologies flourish the market of Spatial Crowdsourcing (SC), …
Yan Zhao, Tinghao Lai, Ziwei Wang, Kaixuan Chen, Huan Li, Kai Zheng
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Journal Rankings: CCF-A · CORE-A*
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TPUF: Enhancing cross-domain sequential recommendation via transferring pre-trained user features
Sequential recommendation has long been challenged by data sparsity issues. Most recently, cross-domain sequential recommendation …
Yujia Ding, Huan Li, Ke Chen, Lidan Shou
The 32nd ACM International Conference on Information & Knowledge Management (CIKM), 2023 Conference Rankings: CCF-B · CORE-A
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Time-constrained indoor keyword-aware routing: Foundations and extensions
With the increasingly available indoor positioning technologies, indoor location-based services (LBS) are becoming popular. Among …
Harry Kai-Ho Chan, Tiantian Liu, Huan Li, Hua Lu
Geoinformatica (Special Issue of SSTD21 Best Papers), 2023 Conference Rankings: CCF-B · IF: 3.29
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Review on session-based recommendation methods
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Jinpeng Chen, Haiyang Li, Fan Zhang, Huan Li, and Kaimin Wei
Journal of Chinese Information Processing, 2023 Journal Rankings: CCF-T1
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Preventing the popular item embedding based attack in federated recommendations
Privacy concerns have led to the rise of federated recommender systems (FRS), which can create personalized models across distributed …
Jun Zhang, Huan Li, Dazhong Rong, Yan Zhao, Ke Chen, Lidan Shou
The 40th IEEE International Conference on Data Engineering (ICDE), 2023 Conference Rankings: CCF-A · CORE-A*
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Missing value imputation for multi-attribute sensor data streams via message propagation
Sensor data streams occur widely in various real-time applications in the context of the Internet of Things (IoT). However, sensor data …
Xiao Li, Huan Li, Hua Lu, Christian S. Jensen, Varun Pandey, Volker Markl
The 49th International Conference on Very Large Data Bases (VLDB), 2023 Conference Rankings: CCF-A · CORE-A*
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LightCTS: A lightweight framework for correlated time series forecasting
Correlated time series (CTS) forecasting plays an essential role in many practical applications, such as traffic management and server …
Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, Yan Zhao
2023 ACM SIGMOD International Conference on Management of Data (SIGMOD), 2023 Conference Rankings: CCF-A · CORE-A*
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FedBFPT: An efficient federated learning framework for Bert further pre-training
This study proposes FEDBFPT (Federated BERT Further Pre-Training), a Federated Learning (FL) framework for further pre-training the …
Xin'ao Wang, Huan Li, Ke Chen, Lidan Shou
The 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023 Conference Rankings: CCF-A · CORE-A*
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Efficiently computing alternative paths in game maps
Alternative pathfinding requires finding a set of k alternative paths (including the shortest path) between a given source s and a …
Lingxiao Li, Muhammad Aamir Cheema, Mohammed Eunus Ali, Hua Lu, Huan Li
World Wide Web Journal, 2023 Journal Rankings: CCF-B · IF: 3.00
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Data imputation for sparse radio maps in indoor positioning
Indoor location-based services rely on the availability of sufficiently accurate positioning in indoor spaces. A popular approach to …
Xiao Li, Huan Li, Harry Kai-Ho Chan, Hua Lu, Christian S. Jensen
The 39th IEEE International Conference on Data Engineering (ICDE), 2023 Conference Rankings: CCF-A · CORE-A*
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Contact tracing over uncertain indoor positioning data
Pandemics often cause dramatic losses of human lives and impact our societies in many aspects such as public health, tourism, and …
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Harry Kai-Ho Chan
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Journal Rankings: CCF-A · CORE-A*
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Towards a question answering system over temporal knowledge graph embedding
Question Answering (QA) over knowledge graphs is a vital topic within information retrieval. Questions with temporal intent are a …
Kristian Otte, Kristian Simoni Vestermark, Huan Li, and Daniele Dell'Aglio
The International Workshop on Deep Learning for Knowledge Graphs (DL4KG), 2022 Workshop
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Spatial data quality in the IoT era: Management and exploitation
Within the rapidly expanding Internet of Things (IoT), growing amounts of spatially referenced data are being generated. Due to the …
Huan Li, Bo Tang, Hua Lu, Muhammad Aamir Cheema, Christian S. Jensen
2022 ACM SIGMOD International Conference on Management of Data (SIGMOD), 2022 Conference Rankings: CCF-A · CORE-A*
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Spatial data quality in the Internet of Things: Management, exploitation, and prospects
With the continued deployment of the Internet of Things (IoT), increasing volumes of devices are being deployed that emit massive …
Huan Li, Hua Lu, Christian S. Jensen, Bo Tang, Muhammad Aamir Cheema
ACM Computing Surveys, 55(3) No.26: 1-41, 2022 Journal Rankings: CORE-A* · IF: 16.2 (Year 2022)
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Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty
Intelligent buildings are among the most active Internet-of-Things (IoT) verticals, encompassing various IoT-enabled devices and …
Huan Li, Tiantian Liu, Harry Kai-Ho Chan, Hua Lu
Frontiers in Big Data, 2022 Journal Rankings: IF: 3.61
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IKAROS: An indoor keyword-aware routing system
As people spend large parts of their lives in indoor venues like shopping malls, airports, and office buildings, there are increasing …
Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Lidan Shou, Jianliang Xu
The 38th IEEE International Conference on Data Engineering (ICDE), 2022 Conference Rankings: CCF-A · CORE-A*
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GHive: Accelerating analytical query processing in Apache Hive via CPU-GPU heterogeneous computing
As a popular distributed data warehouse system, Apache Hive has been widely used for big data analytics in many organizations. …
Haotian Liu, Bo Tang, [et al., including Huan Li]
13th Symposium on Cloud Computing (ACM SoCC) -- SIGMOD and SIGOPS co-sponsored, 2022 Conference Rankings: CCF-B
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GHive: A demonstration of GPU-accelerated query processing in Apache Hive
As a distributed, fault-tolerant data warehouse system for largescale data analytics, Apache Hive has been used for various …
Haotian Liu, Bo Tang, [et al., including Huan Li]
2022 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), 2022 Demo Rankings: CCF-A · CORE-A*
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Efficient and error-bounded spatiotemporal quantile monitoring in edge computing environments
Underlying many types of data analytics, a spatiotemporal quantile monitoring (SQM) query continuously returns the quantiles of a …
Huan Li, Lanjing Yi, Bo Tang, Hua Lu, Christian S. Jensen
The 48th International Conference on Very Large Data Bases (VLDB), 2022 Conference Rankings: CCF-A · CORE-A*
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Diverse shortest paths in game maps: A comparative user study and experiments
Computing diverse shortest paths requires finding a set of k alternative paths (including the shortest path) between a given source s …
Lingxiao Li, Muhammad Aamir Cheema, Mohammed Eunus Ali, Hua Lu, Huan Li
2022 Australasian Database Conference (ADC), 2022 Conference Rankings: CORE-B
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Continuous social distance monitoring in indoor space
The COVID-19 pandemic has caused over 6 million deaths since 2020. To contain the spread of the virus, social distancing is one of the …
Harry Kai-Ho Chan, Huan Li, Xiao Li, Hua Lu
The 48th International Conference on Very Large Data Bases (VLDB), 2022 Conference Rankings: CCF-A · CORE-A*
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Towards indoor temporal-variation aware shortest path query
The recent years have witnessed the growing popularity of indoor location-based services (LBS) in practice and research. Among others, …
Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, Jianliang Xu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Journal Rankings: CCF-A · CORE-A*
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Towards crowd-aware indoor path planning
Indoor venues accommodate many people who collectively form crowds. Such crowds in turn influence people’s routing choices, e.g., …
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou
The 47th International Conference on Very Large Data Bases (VLDB), 2021 Conference Rankings: CCF-A · CORE-A*
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Time-constrained indoor keyword-aware routing
With the increasingly available indoor positioning technologies, indoor location-based services (LBS) are becoming popular. Among …
Harry Kai-Ho Chan, Tiantian Liu, Huan Li, Hua Lu
The 17th International Symposium on Spatial and Temporal Databases (SSTD), 2021 Conference Rankings: CORE-A
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Indoor spatial queries: Modeling, indexing, and processing
Indoor location-based services (LBS), such as POI search and routing, are of- ten built on top of typical indoor spatial queries. To …
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou
The 24th International Conference on Extending Database Technology (EDBT), 2021 Conference Rankings: CORE-A
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Impact of COVID-19 on adoption of IoT in healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT
COVID-19 has disrupted normal life and has enforced a substantial change in the policies, priorities and activities of individuals, …
Muhammad Umair, Muhammad Aamir Cheema, Omer Cheema, Huan Li, Hua Lu
MDPI Sensors, 21(11), 3838, 2021 Conference Rankings: IF: 4.35
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Toward translating raw indoor positioning data into mobility semantics
Indoor mobility analyses are increasingly interesting due to the rapid growth of raw indoor positioning data obtained from IoT …
Huan Li, Hua Lu, Gang Chen, Ke Chen, Qinkuang Chen, Lidan Shou
ACM/IMS Transactions on Data Science (TDS), 1(4) No.26: 1-37, 2020 Journal
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Shortest path queries for indoor venues with temporal variations
Indoor shortest path query (ISPQ) is of fundamental importance for indoor location-based services (LBS). However, existing ISPQs ignore …
Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, Jianliang Xu
The 36th IEEE International Conference on Data Engineering (ICDE), 2020 Conference Rankings: CCF-A · CORE-A*
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Indoor top-k keyword-aware routing query
People have many activities indoors and there is an increasing demand of keyword-aware route planning for indoor venues. In this paper, …
Zijin Feng, Tiantian Liu, Huan Li, Hua Lu, Lidan Shou, Jianliang Xu
The 36th IEEE International Conference on Data Engineering (ICDE), 2020 Conference Rankings: CCF-A · CORE-A*
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Indoor mobility semantics annotation using coupled conditional Markov networks
Indoor mobility semantics analytics can greatly benefit many pertinent applications. Existing semantic annotation methods mainly focus …
Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou, Gang Chen
The 36th IEEE International Conference on Data Engineering (ICDE), 2020 Conference Rankings: CCF-A · CORE-A*
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In search of indoor dense regions: An approach using indoor positioning data (extended abstract)
As people spend significant parts of daily lives indoors, it is useful and important to measure indoor densities and find the dense …
Huan Li, Hua Lu, Lidan Shou, Gang Chen, Ke Chen
The 35th IEEE International Conference on Data Engineering (ICDE), 2019 Conference Rankings: CCF-A · CORE-A*
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Finding most popular indoor semantic locations using uncertain mobility data (extended abstract)
Knowing popular indoor locations can benefit many applications like exhibition planning and location-based advertising, among others. …
Huan Li, Hua Lu, Lidan Shou, Gang Chen, Ke Chen
The 35th IEEE International Conference on Data Engineering (ICDE), 2019 Conference Rankings: CCF-A · CORE-A*
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Finding most popular indoor semantic locations using uncertain mobility data
Knowing popular indoor locations can benefit many applications like exhibition planning and location-based advertising, among others. …
Huan Li, Hua Lu, Lidan Shou, Gang Chen, Ke Chen
IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(11): 2108-2123, 2019 Journal Rankings: CCF-A · CORE-A*
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Vita: A versatile toolkit for generating indoor mobility data for real-world buildings
We demonstrate a generic, user-configurable toolkit for generating different types of indoor mobility data for real-world buildings. …
Huan Li, Hua Lu, Xin Chen, Gang Chen, Ke Chen, Lidan Shou
The 42nd International Conference on Very Large Data Bases (VLDB), 2018 Conference Rankings: CCF-A · CORE-A*
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TRIPS: A system for translating raw indoor positioning data into visual mobility semantics
The rapid accumulation of indoor positioning data is increasingly booming the interest in indoor mobility analyses. As a fundamental …
Huan Li, Hua Lu, Feichao Shi, Gang Chen, Ke Chen, Lidan Shou
The 44th International Conference on Very Large Data Bases (VLDB), 2018 Conference Rankings: CCF-A · CORE-A*
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In search of indoor dense regions: An approach using indoor positioning data
As people spend significant parts of daily lives indoors, it is useful and important to measure indoor densities and find the dense …
Huan Li, Hua Lu, Lidan Shou, Gang Chen, Ke Chen
IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(8): 1481-1495, 2018 Journal Rankings: CCF-A · CORE-A*
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E2C2: Efficient and effective camera calibration in indoor environments
Camera calibration helps users better interact with the surrounding environments. In this work, we aim at accelerating camera …
Huan Li, Pai Peng, Hua Lu, Lidan Shou, Ke Chen, Gang Chen
The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 2018 Conference Rankings: CCF-A · CORE-A*
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