| 2026 | AAAI | From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation. | Yeming Li, Chenxi Liu, Jie Zou, Cheng Long, Chaoning Zhang, Peng Wang, Yang Yang |
| 2026 | AAAI | SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache. | Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Cheng Long, Jie Zhang |
| 2026 | ICDE | Minimum $k$-Vertex Connected Graph Search (Extended Abstract). | Yang Liu, Hejiao Huang, Kaiqiang Yu, Shengxin Liu, Cheng Long |
| 2026 | ICDE | Listing Minimal Cores in Large Real-World Graphs. | Yukai Sun, Kaiqiang Yu, Shengxin Liu, Cheng Long, Raymond Chi-Wing Wong, Xun Zhou, Min Zhang |
| 2026 | ICDE | TS3D: A Temporal Multimodal Dataset for Distributed Database System Analysis. | Yuanyuan Yao, Yuhan Shi, Yian Wei, Lu Chen, Mourad Khayati, Cheng Long, Tianyi Li |
| 2026 | KDD | Wukong Framework for Not Safe For Work Detection in Text-to-Image Systems. | Mingrui Liu, Sixiao Zhang, Cheng Long |
| 2026 | WWW | Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models. | Yue Jiang, Chenxi Liu, Yile Chen, Qin Chao, Shuai Liu, Cheng Long, Gao Cong |
| 2026 | RTAS | COS Scheduler: Conflict-Oriented Search Principle for Fast Slot-Free Time-Triggered Scheduling. | Zixiao Wang, Zonghui Li, Cheng Long |
| 2025 | AAAI | TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment. | Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao |
| 2025 | AAAI | KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy. | Qianxiong Xu, Cheng Long, Ziyue Li, Sijie Ruan, Rui Zhao, Zhishuai Li |
| 2025 | ICDE | FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning (Extended Abstract). | Xinqi Du, Ziyue Li, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen |
| 2025 | ICDE | AdaMove: Efficient Test-Time Adaptation for Human Mobility Prediction. | Huaxu Han, Shuliang Wang, Sijie Ruan, Qianyu Yang, Yuxuan Liang, Ziqiang Yuan, Cheng Long, Hanning Yuan, Yu Zheng |
| 2025 | ICDE | Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation. | Chenxi Liu, Hao Miao, Qianxiong Xu, Shaowen Zhou, Cheng Long, Yan Zhao, Ziyue Li, Rui Zhao |
| 2025 | ICDE | Maximal Clique Enumeration with Hybrid Branching and Early Termination. | Kaixin Wang, Kaiqiang Yu, Cheng Long |
| 2025 | ICML | Arrow: Accelerator for Time Series Causal Discovery with Time Weaving. | Yuanyuan Yao, Yuan Dong, Lu Chen, Kun Kuang, Ziquan Fang, Cheng Long, Yunjun Gao, Tianyi Li |
| 2025 | ICML | Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion. | Kaijun Liu, Sijie Ruan, Liang Zhang, Cheng Long, Shuliang Wang, Liang Yu |
| 2025 | ICML | Generalization in Federated Learning: A Conditional Mutual Information Framework. | Ziqiao Wang, Cheng Long, Yongyi Mao |
| 2025 | ICML | Unlocking the Power of SAM 2 for Few-Shot Segmentation. | Qianxiong Xu, Lanyun Zhu, Xuanyi Liu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao |
| 2025 | ICNP | Time-Triggered Flow Scheduling for Synchronization-Deviation-Tolerant TSN. | Jiamin Cui, Cheng Long, Zonghui Li, Rui Wang, Kang G. Shin |
| 2025 | IJCAI | Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era. | Chenxi Liu, Shaowen Zhou, Qianxiong Xu, Hao Miao, Cheng Long, Ziyue Li, Rui Zhao |
| 2025 | IJCNN | Cold Start Point-of-Interest Representation Learning with Conditional Diffusion Model. | Liang Zhang, Sijie Ruan, Kaijun Liu, Cheng Long |
| 2025 | INDIN | Time-Triggered Communication for Deterministic Ad Hoc Networks. | Yu Peng, Yiming Zheng, Runqi Hu, Zonghui Li, Bo Ai, Cheng Long, Zixiao Wang, Zhibo Pang |
| 2025 | KDD | Maximum Degree-Based Quasi-Clique Search via an Iterative Framework. | Hongbo Xia, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou |
| 2025 | KDD | Data Watermarking for Sequential Recommender Systems. | Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin |
| 2025 | WWW | Mask-based Membership Inference Attacks for Retrieval-Augmented Generation. | Mingrui Liu, Sixiao Zhang, Cheng Long |
| 2025 | WSDM | Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation. | Mingrui Liu, Sixiao Zhang, Cheng Long |
| 2025 | WSDM | HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning. | Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Kaijun Liu, Cheng Long, Xiaoyang Wang |
| 2024 | CIKM | Watermarking Recommender Systems. | Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin |
| 2024 | ECCV | Eliminating Feature Ambiguity for Few-Shot Segmentation. | Qianxiong Xu, Guosheng Lin, Chen Change Loy, Cheng Long, Ziyue Li, Rui Zhao |
| 2024 | ICDE | On Searching Maximum Directed (k, 𝓁)-Plex. | Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long, Zelong Qiu |
| 2024 | ICDE | FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph. | Jalal Khalil, Da Yan, Lyuheng Yuan, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou |
| 2024 | ICDE | Adaptive Truss Maximization on Large Graphs: A Minimum Cut Approach. | Zitan Sun, Xin Huang, Chengzhi Piao, Cheng Long, Jianliang Xu |
| 2024 | ICDE | Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. | Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen |
| 2024 | ICDE | Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning. | Shuliang Wang, Song Tang, Sijie Ruan, Cheng Long, Yuxuan Liang, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng |
| 2024 | ICIP | PCA-UNET for Object Segmentation. | Cheng Long, Sayantika Nag, Adrian Barbu |
| 2024 | ICLR | AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. | Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang |
| 2024 | MDM | Spatial-Temporal Large Language Model for Traffic Prediction. | Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li, Cheng Long, Ziyue Li, Rui Zhao |
| 2024 | SIGIR | OpenSiteRec: An Open Dataset for Site Recommendation. | Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing |
| 2024 | SIGMOD | Reproducibility Report for ACM SIGMOD 2024 Paper: 'Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach'. | Hein Meling, Yue Gong, Kaiqiang Yu, Cheng Long |
| 2024 | WSDM | Defense Against Model Extraction Attacks on Recommender Systems. | Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long |
| 2023 | AAAI | Deep Graph Structural Infomax. | Wenting Zhao, Gongping Xu, Zhen Cui, Siqiang Luo, Cheng Long, Tong Zhang |
| 2023 | ICCV | Self-Calibrated Cross Attention Network for Few-Shot Segmentation. | Qianxiong Xu, Wenting Zhao, Guosheng Lin, Cheng Long |
| 2023 | ICDE | Most Probable Densest Subgraphs. | Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long |
| 2023 | ICDE | Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. | Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish |
| 2023 | ICDE | Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. | Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi |
| 2022 | ACML | Multi-scale Progressive Gated Transformer for Physiological Signal Classification. | Wei Zhou, Hao Wang, Yiling Zhang, Cheng Long, Yan Yang, Dongjie Wang |
| 2022 | CIKM | Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training. | Qianxiong Xu, Sijie Ruan, Cheng Long, Liang Yu, Chen Zhang |
| 2022 | ICDE | Cost-Aware and Distance-Constrained Collective Spatial Keyword Query (Extended Abstract). | Harry Kai-Ho Chan, Shengxin Liu, Cheng Long, Raymond Chi-Wing Wong |
| 2022 | ICDE | k-Pleased Querying (Extended Abstract). | Zitong Chen, Ada Wai-Chee Fu, Cheng Long, Yang Wu |
| 2022 | ICDE | Maximal Directed Quasi -Clique Mining. | Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou |
| 2022 | ICDE | Discovering Actual Delivery Locations from Mis-Annotated Couriers' Trajectories. | Sijie Ruan, Cheng Long, Xiaodu Yang, Tianfu He, Ruiyuan Li, Jie Bao, Yiheng Chen, Shengnan Wu, Jiangtao Cui, Yu Zheng |
| 2022 | ICDE | On Efficient Large Maximal Biplex Discovery (Extended abstract). | Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty |
| 2022 | ICIP | A Study of Shape Modeling Against Noise. | Cheng Long, Adrian Barbu |
| 2022 | IJCAI | A Survey on Neural Open Information Extraction: Current Status and Future Directions. | Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun |
| 2022 | KDD | Service Time Prediction for Delivery Tasks via Spatial Meta-Learning. | Sijie Ruan, Cheng Long, Zhipeng Ma, Jie Bao, Tianfu He, Ruiyuan Li, Yiheng Chen, Shengnan Wu, Yu Zheng |
| 2022 | MDM | A Matching Based Spatial Crowdsourcing Framework for Egalitarian Task Assignment. | Ramneek Kaur, Vikram Goyal, Venkata M. V. Gunturi, Cheng Long |
| 2022 | MDM | Modeling Trajectories with Multi-task Learning. | Kaijun Liu, Sijie Ruan, Qianxiong Xu, Cheng Long, Nan Xiao, Nan Hu, Liang Yu, Sinno Jialin Pan |
| 2022 | WWW | Prototype Feature Extraction for Multi-task Learning. | Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang |
| 2022 | SIGIR | Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. | Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, Cheng Long |
| 2022 | SIGMOD | Efficient Algorithms for Maximal k-Biplex Enumeration. | Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan |
| 2022 | SDM | On Predicting and Generating a Good Break Shot in Billiards Sports. | Qianru Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu |
| 2021 | CIKM | Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. | Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison |
| 2021 | ICDE | Self-Supervised Deep Metric Learning for Pointsets. | Pattaramanee Arsomngern, Cheng Long, Supasorn Suwajanakorn, Sarana Nutanong |
| 2021 | ICDE | Trajectory Simplification with Reinforcement Learning. | Zheng Wang, Cheng Long, Gao Cong |
| 2021 | ICDE | ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce. | Shen Xin, Zhao Li, Pengcheng Zou, Cheng Long, Jie Zhang, Jiajun Bu, Jingren Zhou |
| 2021 | ICDM | Summarizing User-Item Matrix By Group Utility Maximization. | Yongjie Wang, Ke Wang, Cheng Long, Chunyan Miao |
| 2021 | ICONIP | Coordinate Attention Residual Deformable U-Net for Vessel Segmentation. | Cong Wu, Xiao Liu, Shijun Li, Cheng Long |
| 2021 | IJCNN | Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network. | Yueen Ma, Da Yan, Cheng Long, D. Rangaprakash, Gopikrishna Deshpande |
| 2021 | KDD | Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning. | Zheng Wang, Cheng Long, Gao Cong, Qianru Zhang |
| 2021 | SDM | Adaptive Holding for Online Bottleneck Matching with Delays. | Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu |
| 2020 | AAAI | Learning to Generate Maps from Trajectories. | Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng |
| 2020 | APWEB | LSimRank: Node Similarity in a Labeled Graph. | Yang Wu, Ada Wai-Chee Fu, Cheng Long, Zitong Chen |
| 2020 | CIKM | Generating Full Spatiotemporal Vehicular Paths: A Data Fusion Approach. | Nan Xiao, Nan Hu, Liang Yu, Cheng Long |
| 2020 | CIKM | Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion. | Shen Xin, Yizhou Ye, Martin Ester, Cheng Long, Jie Zhang, Zhao Li, Kaiying Yuan, Yanghua Li |
| 2020 | ICDE | On Nearby-Fit Spatial Keyword Queries (Extended Abstract). | Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, Pan Hui |
| 2020 | KDD | Doing in One Go: Delivery Time Inference Based on Couriers' Trajectories. | Sijie Ruan, Zi Xiong, Cheng Long, Yiheng Chen, Jie Bao, Tianfu He, Ruiyuan Li, Shengnan Wu, Zhongyuan Jiang, Yu Zheng |
| 2020 | SIGMOD | Architecture-Intact Oracle for Fastest Path and Time Queries on Dynamic Spatial Networks. | Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long |
| 2020 | WSDM | Context-aware Deep Model for Joint Mobility and Time Prediction. | Yile Chen, Cheng Long, Gao Cong, Chenliang Li |
| 2019 | ICDE | On Generalizing Collective Spatial Keyword Queries (Extended Abstract). | Harry Kai-Ho Chan, Cheng Long, Raymond Chi-Wing Wong |
| 2019 | ICDE | Fraction-Score: A New Support Measure for Co-location Pattern Mining. | Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong |
| 2019 | ICDE | Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach. | Yansheng Wang, Yongxin Tong, Cheng Long, Pan Xu, Ke Xu, Weifeng Lv |
| 2019 | ICPP | Lightweight Fault Tolerance in Pregel-Like Systems. | Da Yan, James Cheng, Hongzhi Chen, Cheng Long, Purushotham V. Bangalore |
| 2019 | KDD | Effective and Efficient Sports Play Retrieval with Deep Representation Learning. | Zheng Wang, Cheng Long, Gao Cong, Ce Ju |
| 2018 | DEXA | Fast Identification of Interesting Spatial Regions with Applications in Human Development Research. | Carl Duffy, Deepak P, Cheng Long, M. Satish Kumar, Amit Thorat, Amaresh Dubey |
| 2018 | EDBT | Counting Edges with Target Labels in Online Social Networks via Random Walk. | Yang Wu, Cheng Long, Ada Wai-Chee Fu, Zitong Chen |
| 2018 | SIGMOD | Efficient k-Regret Query Algorithm with Restriction-free Bound for any Dimensionality. | Min Xie, Raymond Chi-Wing Wong, Jian Li, Cheng Long, Ashwin Lall |
| 2017 | APWEB | Counting Edges and Triangles in Online Social Networks via Random Walk. | Yang Wu, Cheng Long, Ada Wai-Chee Fu, Zitong Chen |
| 2017 | SIGMOD | Distance Oracle on Terrain Surface. | Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, David M. Mount |
| 2015 | ICDM | Trend-MC: A Melody Composer by Constructing from Frequent Trend-Based Patterns. | Cheng Long, Raymond Chi-Wing Wong, Raymond Ka Wai Sze |
| 2014 | ICDM | Visual-VM: A Social Network Visualization Tool for Viral Marketing. | Cheng Long, Raymond Chi-Wing Wong |
| 2014 | SIGMOD | Efficient algorithms for optimal location queries in road networks. | Zitong Chen, Yubao Liu, Raymond Chi-Wing Wong, Jiamin Xiong, Ganglin Mai, Cheng Long |
| 2014 | SIGMOD | Hypersphere dominance: an optimal approach. | Cheng Long, Raymond Chi-Wing Wong, Bin Zhang, Min Xie |
| 2014 | SDM | A New Framework for Traffic Anomaly Detection. | Jinsong Lan, Cheng Long, Raymond Chi-Wing Wong, Youyang Chen, Yanjie Fu, Danhuai Guo, Shuguang Liu, Yong Ge, Yuanchun Zhou, Jianhui Li |
| 2013 | ICDE | T-Music: A melody composer based on frequent pattern mining. | Cheng Long, Raymond Chi-Wing Wong, Raymond Ka Wai Sze |
| 2013 | ICDM | On Good and Fair Paper-Reviewer Assignment. | Cheng Long, Raymond Chi-Wing Wong, Yu Peng, Liangliang Ye |
| 2013 | SIGMOD | Collective spatial keyword queries: a distance owner-driven approach. | Cheng Long, Raymond Chi-Wing Wong, Ke Wang, Ada Wai-Chee Fu |
| 2013 | SIGMOD | On optimal worst-case matching. | Cheng Long, Raymond Chi-Wing Wong, Philip S. Yu, Minhao Jiang |
| 2011 | ICDM | Minimizing Seed Set for Viral Marketing. | Cheng Long, Raymond Chi-Wing Wong |