Decomposing Large-Scale POMDP Via Belief State Analysis. - Xin Li 033; William K. Cheung 001; Jiming Liu 001 (IAT, 2005)

Integrating Value-Directed Compression and Belief Space Analysis for POMDP Decomposition. - Xin Li 033; William K. Cheung 001; Jiming Liu 001 (IAT, 2006)

An Adaptation of EPCA to Image Compression and Reconstruction. - Xin Li 033; Zhili Wu; Xiaofeng Zhang 002 (SMC, 2006)

A novel orthogonal NMF-based belief compression for POMDPs. - Xin Li 033; William Kwok-Wai Cheung; Jiming Liu 001; Zhili Wu (ICML, 2007)

On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression. - Xin Li 033; William K. Cheung 001; Jiming Liu 001 (ACML, 2009)

Improving POMDP Tractability via Belief Compression and Clustering. - Xin Li 033; William K. Cheung 001; Jiming Liu 001 (IEEE Trans. Syst. Man Cybern. Part B, 2010)

SEBAR: Social Energy Based Routing scheme for mobile social Delay Tolerant Networks. - Fan Li 001; Hong Jiang; Yu Wang 003; Xin Li 033; Mingzhong Wang; Tabouche Abdeldjalil (IPCCC, 2013)

Magnetic field modeling-based energy efficient routing in wireless sensor networks. - Nemroud Youssouf; Xin Li 033; Fan Li 001; Huiying Yuan (IPCCC, 2013)

A mobility clustering-based roadside units deployment for VANET. - Chengyuan Wang; Xin Li 033; Fan Li 001; Huimei Lu (APNOMS, 2014)

A Lexicon-Based Multi-class Semantic Orientation Analysis for Microblogs. - Yuqing Li; Xin Li 033; Fan Li 001; Xiaofeng Zhang 002 (APWeb, 2014)

A Novel Topical Authority-Based Microblog Ranking. - Yanmei Zhai; Xin Li 033; Jialiang Chen; Xiumei Fan; William K. Cheung 001 (APWeb, 2014)

TMODF: Trajectory-based multi-objective optimal data forwarding in vehicular networks. - Maocai Fu; Xin Li 033; Fan Li 001; Xinyu Guo; Zhili Wu (IPCCC, 2014)

QGrid: Q-learning based routing protocol for vehicular ad hoc networks. - Ruiling Li; Fan Li 001; Xin Li 033; Yu Wang 003 (IPCCC, 2014)

ReadBehavior: Reading Probabilities Modeling of Tweets via the Users' Retweeting Behaviors. - Jianguang Du; Dandan Song; Lejian Liao; Xin Li 033; Li Liu 030; Guoqiang Li 003; Guanguo Gao; Guiying Wu (PAKDD (1), 2014)

Table-Driven Bus-Based Routing Protocol for Urban Vehicular Ad Hoc Networks. - Tabouche Abdeldjalil; Fan Li 001; Ruiling Li; Xin Li 033 (WASA, 2014)

Deriving an Effective Hypergraph Model for Point of Interest Recommendation. - Meng Qi; Xin Li 033; Lejian Liao; Dandan Song; William K. Cheung 001 (KSEM, 2015)

Crafting a Time-Aware Point-of-Interest Recommendation via Pairwise Interaction Tensor Factorization. - Xinqiang Zhao; Xin Li 033; Lejian Liao; Dandan Song; William K. Cheung 001 (KSEM, 2015)

The Author-Topic-Community model for author interest profiling and community discovery. - Chunshan Li; William K. Cheung 001; Yunming Ye; Xiaofeng Zhang 002; Dian-Hui Chu; Xin Li 033 (Knowl. Inf. Syst., 2015)

Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns. - Jing He; Xin Li 033; Lejian Liao; Dandan Song; William K. Cheung 001 (AAAI, 2016)

On Improving a Microblog Ranking. - Jidong Li; Xin Li 033; Mingming Shi; Meng Zhou 005; Linjing Lai (DSC, 2016)

Aligning Users across Social Networks Using Network Embedding. - Li Liu 030; William K. Cheung 001; Xin Li 033; Lejian Liao (IJCAI, 2016)

A Momentum Theory for Hot Topic Life-cycle: A Case Study of Hot Hashtag Emerging in Twitter. - Liu Wang; Xin Li 033; Lejian Liao; Li Liu 030 (Int. J. Comput. Commun. Control, 2016)

Effective successive POI recommendation inferred with individual behavior and group preference. - Jialiang Chen; Xin Li 033; William K. Cheung 001; Kan Li (Neurocomputing, 2016)

FriendBurst: Ranking people who get friends fast in a short time. - Li Liu 030; Dandan Song; Jie Tang 001; Lejian Liao; Xin Li 033; Jianguang Du (Neurocomputing, 2016)

On Preventing Location Attacks for Urban Vehicular Networks. - Meng Zhou 005; Xin Li 033; Lejian Liao (Mob. Inf. Syst., 2016)

Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking. - Jing He; Xin Li 033; Lejian Liao (IJCAI, 2017)

A Structural Representation Learning for Multi-relational Networks. - Lin Liu; Xin Li 033; William K. Cheung 001; Chengcheng Xu (IJCAI, 2017)

A Reinforcement Learning Approach of Data Forwarding in Vehicular Networks. - Pengfei Zhu; Lejian Liao; Xin Li 033 (MSN, 2017)

On Improving Deep Reinforcement Learning for POMDPs. - Pengfei Zhu; Xin Li 033; Pascal Poupart (CoRR, 2017)

A Time-Aware Personalized Point-of-Interest Recommendation via High-Order Tensor Factorization. - Xin Li 033; Mingming Jiang; Huiting Hong; Lejian Liao (ACM Trans. Inf. Syst., 2017)

Non-translational Alignment for Multi-relational Networks. - Shengnan Li; Xin Li 033; Rui Ye; Mingzhong Wang; Haiping Su; Yingzi Ou (IJCAI, 2018)

Inferring Continuous Latent Preference on Transition Intervals for Next Point-of-Interest Recommendation. - Jing He; Xin Li 033; Lejian Liao; Mingzhong Wang (ECML/PKDD (2), 2018)

Artificial Intelligence Scientific Documentation Dataset for Recommender Systems. - Fernando Ortega 001; Jesús Bobadilla; Abraham Gutiérrez; Remigio Hurtado; Xin Li 033 (IEEE Access, 2018)

A Structural Representation Learning for Multi-relational Networks. - Xin Li 033; Huiting Hong; Lin Liu; William K. Cheung 001 (CoRR, 2018)

Personalized Next Point-of-Interest Recommendation via Latent Behavior Patterns Inference. - Jing He; Xin Li 033; Lejian Liao; William K. Cheung 001 (CoRR, 2018)

Next point-of-interest recommendation via a category-aware Listwise Bayesian Personalized Ranking. - Jing He; Xin Li 033; Lejian Liao (J. Comput. Sci., 2018)

Collective semantic behavior extraction in social networks. - Lei Li 002; Chuan Zhou 001; Jianping He 006; Jiamiao Wang; Xin Li 033; Xindong Wu 001 (J. Comput. Sci., 2018)

A Geographical Behavior-Based Point-of-Interest Recommendation. - Xiaoyun Yu; Xin Li 033; Jidong Li; Keke Gai (BigDataSecurity/HPSC/IDS, 2019)

A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment. - Rui Ye; Xin Li 033; Yujie Fang; Hongyu Zang; Mingzhong Wang (IJCAI, 2019)

Flexible Pressure Sensor Array with Tunable Measurement Range and High Sensitivity. - Dandan Hui; Yichuan Wu; Xin Li 033; Yuxiang Xiao; Min Zhang 031 (NEMS, 2019)

Crowdsourcing Incentives for Multi-Hop Urban Parcel Delivery Network. - Huiting Hong; Xin Li 033; Daqing He; Yiwei Zhang; Mingzhong Wang (IEEE Access, 2019)

A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific Documentation Case Study. - Remigio Hurtado; Jesús Bobadilla; Rodolfo Bojorque; Fernando Ortega 001; Xin Li 033 (IEEE Access, 2019)

Deep trajectory: a deep learning approach for mobile advertising in vehicular networks. - Xin Li 033; Liang Yang; Yi Li; Chuan Zhou 001 (Neural Comput. Appl., 2019)

Next and Next New POI Recommendation via Latent Behavior Pattern Inference. - Xin Li 033; Dongcheng Han; Jing He; Lejian Liao; Mingzhong Wang (ACM Trans. Inf. Syst., 2019)

Hierarchical Routing for Vehicular Ad Hoc Networks via Reinforcement Learning. - Fan Li 001; Xiaoyu Song; Huijie Chen; Xin Li 033; Yu Wang 003 (IEEE Trans. Veh. Technol., 2019)

Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal. - Li Zhang; Xin Li 033; Sen Chen; Hongyu Zang; Jie Huang; Mingzhong Wang (AAAI, 2020)

On Improving the Learning of Long-Term historical Information for Tasks with Partial Observability. - Xinwen Wang; Xin Li 033; Linjing Lai (DSC, 2020)

WiPOS: A POS Terminal Password Inference System Based on Wireless Signals. - Zijian Zhang 001; Nurilla Avazov; Jiamou Liu; Bakh Khoussainov; Xin Li 033; Keke Gai; Liehuang Zhu (IEEE Internet Things J., 2020)

Structural Representation Learning for User Alignment Across Social Networks. - Li Liu 030; Xin Li 033; William K. Cheung 001; Lejian Liao (IEEE Trans. Knowl. Data Eng., 2020)

GANE: A Generative Adversarial Network Embedding. - Huiting Hong; Xin Li 033; Mingzhong Wang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Zero-to-Stable Driver Identification: A Non-Intrusive and Scalable Driver Identification Scheme. - Mussadiq Abdul Rahim; Liehuang Zhu; Xin Li 033; Jiamou Liu; Zijian Zhang 001; Zhan Qin; Salabat Khan; Keke Gai (IEEE Trans. Veh. Technol., 2020)

Multi-relational EHR representation learning with infusing information of Diagnosis and Medication. - Yu Shi; Yuhang Guo 001; Hao Wu 066; Jingxiu Li; Xin Li 033 (COMPSAC, 2021)

Shared-latent Variable Network Alignment. - Degen Zhang; Xin Li 033; Linjing Lai (COMPSAC, 2021)

Partial Power Conversion and High Voltage Ride-Through Scheme for a PV-Battery Based Multiport Multi-Bus Power Router. - Yanping Zhu; Yakun Wang; Jiaxun Teng; Xiaofeng Sun; Meng Qi; Wei Zhao; Xin Li 033 (IEEE Access, 2021)

SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning. - Hongyu Zang; Xin Li 033; Mingzhong Wang (CoRR, 2021)

On improving knowledge graph facilitated simple question answering system. - Xin Li 033; Hongyu Zang; Xiaoyun Yu; Hao Wu 066; Zijian Zhang 001; Jiamou Liu; Mingzhong Wang (Neural Comput. Appl., 2021)

SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning. - Hongyu Zang; Xin Li 033; Mingzhong Wang (AAAI, 2022)

Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning. - Riashat Islam; Hongyu Zang; Anirudh Goyal; Alex Lamb; Kenji Kawaguchi; Xin Li 033; Romain Laroche; Yoshua Bengio; Remi Tachet des Combes (NeurIPS, 2022)

Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information. - Riashat Islam; Manan Tomar; Alex Lamb; Yonathan Efroni; Hongyu Zang; Aniket Didolkar; Dipendra Misra; Xin Li 033; Harm van Seijen; Remi Tachet des Combes; John Langford 001 (CoRR, 2022)

Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning. - Riashat Islam; Hongyu Zang; Anirudh Goyal; Alex Lamb; Kenji Kawaguchi; Xin Li 033; Romain Laroche; Yoshua Bengio; Remi Tachet des Combes (CoRR, 2022)

Domain-Adversarial Network Alignment. - Huiting Hong; Xin Li 033; Yuangang Pan; Ivor W. Tsang (IEEE Trans. Knowl. Data Eng., 2022)

CHA: Categorical Hierarchy-based Attention for Next POI Recommendation. - Hongyu Zang; Dongcheng Han; Xin Li 033; Zhifeng Wan; Mingzhong Wang (ACM Trans. Inf. Syst., 2022)

WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series. - Fuhao Yang; Xin Li 033; Min Wang 039; Hongyu Zang; Wei Pang 001; Mingzhong Wang (AAAI, 2023)

Representation Learning in Deep RL via Discrete Information Bottleneck. - Riashat Islam; Hongyu Zang; Manan Tomar; Aniket Didolkar; Md Mofijul Islam; Samin Yeasar Arnob; Tariq Iqbal; Xin Li 033; Anirudh Goyal; Nicolas Heess; Alex Lamb (AISTATS, 2023)

Behavior Prior Representation learning for Offline Reinforcement Learning. - Hongyu Zang; Xin Li 033; Jie Yu; Chen Liu; Riashat Islam; Remi Tachet des Combes; Romain Laroche (ICLR, 2023)

Principled Offline RL in the Presence of Rich Exogenous Information. - Riashat Islam; Manan Tomar; Alex Lamb; Yonathan Efroni; Hongyu Zang; Aniket Rajiv Didolkar; Dipendra Misra; Xin Li 033; Harm van Seijen; Remi Tachet des Combes; John Langford 001 (ICML, 2023)

Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning. - Hongyu Zang; Xin Li 033; Leiji Zhang; Yang Liu 356; Baigui Sun; Riashat Islam; Remi Tachet des Combes; Romain Laroche (NeurIPS, 2023)

Towards Control-Centric Representations in Reinforcement Learning from Images. - Chen Liu; Hongyu Zang; Xin Li 033; Yong Heng; Yifei Wang 001; Zhen Fang; Yisen Wang 001; Mingzhong Wang (CoRR, 2023)

Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment. - Yujie Fang; Xin Li 033; Rui Ye; Xiaoyan Tan; Peiyao Zhao; Mingzhong Wang (ACM Trans. Intell. Syst. Technol., 2023)

Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors. - Zihan Yan; Li Liu 030; Xin Li 033; William K. Cheung 001; Youmin Zhang 006; Qun Liu 005; Guoyin Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Differentiable Logic Policy for Interpretable Deep Reinforcement Learning: A Study From an Optimization Perspective. - Xin Li 033; Haojie Lei; Li Zhang; Mingzhong Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components. - Min Wang 039; Xin Li 033; Leiji Zhang; Mingzhong Wang (AAAI, 2024)

Evolving Molecular Graph Neural Networks with Hierarchical Evaluation Strategy. - Yingfang Yuan; Wenjun Wang 003; Xin Li 033; Kefan Chen; Yonghan Zhang; Wei Pang 001 (GECCO, 2024)

Learning Latent Dynamic Robust Representations for World Models. - Ruixiang Sun 003; Hongyu Zang; Xin Li 033; Riashat Islam (ICML, 2024)

Signed Graph Representation Learning: A Survey. - Zeyu Zhang 004; Peiyao Zhao; Xin Li 033; Jiamou Liu; Xinrui Zhang; Junjie Huang; Xiaofeng Zhu (CoRR, 2024)

Graph-Based Covert Transaction Detection and Protection in Blockchain. - Zhenyu Guo; Xin Li 033; Jiamou Liu; Zijian Zhang 001; Meng Li 006; Jingjing Hu; Liehuang Zhu (IEEE Trans. Inf. Forensics Secur., 2024)

WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning. - Li Liu 030; Penggang Chen; Xin Li 033; William Kwok-Wai Cheung; Youmin Zhang 006; Qun Liu 005; Guoyin Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Low-Capacitance CHB-Based SST Based on Resonant Push-Pull Decoupling Channel. - Jiaxun Teng; Xiaofeng Sun; Min Zhang 031; Wei Zhao; Xin Li 033 (IEEE Trans. Ind. Electron., 2024)

Coarse-to-Fine Contrastive Learning on Graphs. - Peiyao Zhao; Yuangang Pan; Xin Li 033; Xu Chen 026; Ivor W. Tsang; Lejian Liao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Redefining Entity Integration: Theoretical Insights for GNN-Based Recommender Systems. - Yifei Wang 003; Jiayan Zhu; Yao Xu; Xin Li 033; Jiamou Liu (COCOON (2), 2025)

Boosting with Fewer Tokens: Multi-Query Optimization for LLMs Using Node Text and Neighbor Cues. - Yujie Fang; Xin Li 033; Yuangang Pan; Xin Huang; Ivor W. Tsang (ICDE, 2025)

Advancing Confidence Calibration and Quantification in Medication Recommendation. - Qianyu Chen; Xin Li 033; Yujie Fang; Mingzhong Wang (KDD (1), 2025)

Robust Deep Signed Graph Clustering via Weak Balance Theory. - Peiyao Zhao; Xin Li 033; Zeyu Zhang 004; Mingzhong Wang; Xueying Zhu; Lejian Liao (WWW, 2025)

Sharpening deep graph clustering via diverse bellwethers. - Peiyao Zhao; Xin Li 033; Yuangang Pan; Ivor W. Tsang; Mingzhong Wang; Lejian Liao (Knowl. Based Syst., 2025)

Resisting Poisoning Attacks in Federated Learning via Dual-Domain Distance and Trust Assessment. - Zhaoqi Wang; Zijian Zhang 001; Zhen Li; Yan Wu 014; Ye Liu; Meng Li 006; Xin Li 033; Yong Liu; Jincheng An; Wei Liang 005; Liehuang Zhu (IEEE Trans. Inf. Forensics Secur., 2025)

Learning Fused State Representations for Control from Multi-View Observations. - Zeyu Wang; Yao-Hui Li; Xin Li 033; Hongyu Zang; Romain Laroche; Riashat Islam (CoRR, 2025)

Web-FTP: A Feature Transferring-Based Pre-Trained Model for Web Attack Detection. - Zhenyu Guo; Qinghua Shang; Xin Li 033; Chengyi Li; Zijian Zhang 001; Zhuo Zhang; Jingjing Hu; Jincheng An; Chuanming Huang; Yang Chen 028; Yuguang Cai (IEEE Trans. Knowl. Data Eng., 2025)