Hong Xie - RankMe

136 papers A* 27A 3B 9Journal 87Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentCAT: An LLM Agent for Extracting and Analyzing Catalytic Reaction Data from Chemical Engineering Literature. CoRR Wei Yang, Zihao Liu, Tao Tan, Xiao Hu, Hong Xie, Lulu Li Xin Li, Jianyu Han, Defu Lian, Mao Ye
2026	J	`jnl`	Beyond Trade-offs: Leveraging Spatiotemporal Heterogeneity of User Preference for Long-term Fairness and Accuracy in Interactive Recommendation. ACM Trans. Web Chongjun Xia, Xiaoyu Shi, Hong Xie, Yun Lu, Pu Li, Mingsheng Shang
2026	J	`jnl`	Demystifying Design Choices of Reinforcement Fine-tuning: A Batched Contextual Bandit Learning Perspective. CoRR Hong Xie, Xiao Hu, Tao Tan, Haoran Gu, Xin Li, Jianyu Han, Defu Lian, Enhong Chen
2026	J	`jnl`	Fairness Begins with State: Purifying Latent Preferences for Hierarchical Reinforcement Learning in Interactive Recommendation. CoRR Yun Lu, Xiaoyu Shi, Hong Xie, Xiangyu Zhao, Mingsheng Shang
2026	J	`jnl`	Interactive graph convolutional filtering. Artif. Intell. Jin Zhang, Defu Lian, Hong Xie, Yawen Li, Enhong Chen
2026	J	`jnl`	MPC-FH: Privately Estimating Frequency Histogram for Advertising Measurement. IEEE Trans. Dependable Secur. Comput. Pinghui Wang, Haoxin Yang, Dongxu Zeng, Hong Xie, Junzhou Zhao, Xiaohong Guan
2026	J	`jnl`	Model Specific Task Similarity for Vision Language Model Selection via Layer Conductance. CoRR Wei Yang, Hong Xie, Tao Tan, Xin Li, Defu Lian, Enhong Chen
2026	A*	`conf`	Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing. AAAI Hong Xie, Haoran Gu, Yanying Huang, Tao Tan, Defu Lian
2026	J	`jnl`	Proactive Guiding Strategy for Item-side Fairness in Interactive Recommendation. CoRR Chongjun Xia, Xiaoyu Shi, Hong Xie, Xianzhi Wang, Yun Lu, Mingsheng Shang
2026	J	`jnl`	Quantifying and mitigating the spiral of silence in recommender systems: A modular probabilistic framework. Knowl. Based Syst. Mingze Zhong, Hong Xie, Meng Fang, Zijing Shi, Ling Chen
2026	J	`jnl`	Rethinking Reinforcement fine-tuning of LLMs: A Multi-armed Bandit Learning Perspective. CoRR Xiao Hu, Hong Xie, Tao Tan, Defu Lian, Jianyu Han
2026	A*	`conf`	Revisiting Fairness-aware Interactive Recommendation: Item Lifecycle as a Control Knob. AAAI Yun Lu, Xiaoyu Shi, Hong Xie, Chongjun Xia, Zhenhui Gong, Mingsheng Shang
2026	J	`jnl`	SmoothVLA: Aligning Vision-Language-Action Models with Physical Constraints via Intrinsic Smoothness Optimization. CoRR Jiashun Li, Xiaoyu Shi, Hong Xie, Mingsheng Shang, Yun Lu
2025	J	`jnl`	A Unified Frequency Domain Decomposition Framework for Interpretable and Robust Time Series Forecasting. CoRR Cheng He, Xijie Liang, Zengrong Zheng, Patrick P. C. Lee, Xu Huang, Zhaoyi Li, Hong Xie, Defu Lian, Enhong Chen
2025	J	`jnl`	Advancing and Benchmarking Personalized Tool Invocation for LLMs. CoRR Xu Huang, Yuefeng Huang, Weiwen Liu, Xingshan Zeng, Yasheng Wang, Ruiming Tang, Hong Xie, Defu Lian
2025	A*	`conf`	Conflict-Buffering Optimization by Symmetry Teleportation for Deep Long-Tailed Recognition. ACM Multimedia Mianzimei Yang, Zhipeng Zhou, Jin Zhang, Yuanhao Pu, Hong Xie, Defu Lian
2025	J	`jnl`	Cross-Domain Semantic Transfer for Domain Generalization. ACM Trans. Multim. Comput. Commun. Appl. Yan Wang, Hong Xie, Jinyang He, Xiaoyu Shi, Mingsheng Shang
2025	—	`conf`	Exploring the Choice Behavior of Large Language Models. ACL (Findings) Weidong Wu, Qinlin Zhao, Hao Chen, Lexin Zhou, Defu Lian, Hong Xie
2025	J	`jnl`	General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data. CoRR Cheng He, Xu Huang, Gangwei Jiang, Zhaoyi Li, Defu Lian, Hong Xie, Enhong Chen, Xijie Liang, Zengrong Zheng
2025	J	`jnl`	Invariant representation learning via decoupling style and spurious features. Mach. Learn. Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Chenwang Wu, Hong Xie, Defu Lian
2025	J	`jnl`	LLM Cache Bandit Revisited: Addressing Query Heterogeneity for Cost-Effective LLM Inference. CoRR Hantao Yang, Hong Xie, Defu Lian, Enhong Chen
2025	—	`conf`	M KDD (2) Hongyi Xie, Min Zhou, Qiao Yu, Jialiang Yu, Zhenli Sheng, Hong Xie, Defu Lian
2025	J	`jnl`	M CoRR Hongyi Xie, Min Zhou, Qiao Yu, Jialiang Yu, Zhenli Sheng, Hong Xie, Defu Lian
2025	J	`jnl`	Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing. CoRR Hong Xie, Haoran Gu, Yanying Huang, Tao Tan, Defu Lian
2025	J	`jnl`	Online Incentive Protocol Design for Reposting Service in Online Social Networks. ACM Trans. Web Haoran Gu, Shiyuan Zheng, Xudong Liu, Hong Xie, John C. S. Lui
2025	J	`jnl`	Revisiting Fairness-aware Interactive Recommendation: Item Lifecycle as a Control Knob. CoRR Yun Lu, Xiaoyu Shi, Hong Xie, Chongjun Xia, Zhenhui Gong, Mingsheng Shang
2025	J	`jnl`	Variance-Aware Bandit Framework for Dynamic Probabilistic Maximum Coverage Problem With Triggered or Self-Reliant Arms. IEEE Trans. Netw. Xiangxiang Dai, Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui
2024	J	`jnl`	A Meta-Learning Approach to Mitigating the Estimation Bias of Q-Learning. ACM Trans. Knowl. Discov. Data Tao Tan, Hong Xie, Xiaoyu Shi, Mingsheng Shang
2024	B	`conf`	A Thompson Sampling Approach to User-centric Selection Problems. IJCNN Yanying Huang, Haoran Gu, Hong Xie, Mingqiang Zhou
2024	A*	`conf`	Adaptive Order Q-learning. IJCAI Tao Tan, Hong Xie, Defu Lian
2024	J	`jnl`	Adaptive moving average Q-learning. Knowl. Inf. Syst. Tao Tan, Hong Xie, Yunni Xia, Xiaoyu Shi, Mingsheng Shang
2024	J	`jnl`	Analytical and Empirical Study of Herding Effects in Recommendation Systems. CoRR Hong Xie, Mingze Zhong, Defu Lian, Zhen Wang, Enhong Chen
2024	J	`jnl`	Analyzing Queueing Problems via Bandits With Linear Reward & Nonlinear Workload Fairness. IEEE Trans. Mob. Comput. Xuchuang Wang, Hong Xie, John C. S. Lui
2024	J	`jnl`	Asynchronous SGD with stale gradient dynamic adjustment for deep learning training. Inf. Sci. Tao Tan, Hong Xie, Yunni Xia, Xiaoyu Shi, Mingsheng Shang
2024	—	`conf`	Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications. PRICAI (5) Luyue Xu, Liming Wang, Hong Xie, Mingqiang Zhou
2024	J	`jnl`	Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications. CoRR Luyue Xu, Liming Wang, Hong Xie, Mingqiang Zhou
2024	—	`conf`	False Negative Sample Aware Negative Sampling for Recommendation. PAKDD (5) Liguo Chen, Zhigang Gong, Hong Xie, Mingqiang Zhou
2024	A*	`conf`	Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. AAAI Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen
2024	J	`jnl`	Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. CoRR Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen
2024	J	`jnl`	Foundations and Frontiers of Graph Learning Theory. CoRR Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen
2024	A	`conf`	Hierarchical Reinforcement Learning for Long-term Fairness in Interactive Recommendation. ICWS Chongjun Xia, Xiaoyu Shi, Hong Xie, Quanliang Liu, Mingsheng Shang
2024	J	`jnl`	Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems. IEEE Trans. Serv. Comput. Xiaoyu Shi, Quanliang Liu, Hong Xie, Yanan Bai, Mingsheng Shang
2024	J	`jnl`	Multi-agent Multi-armed Bandits with Stochastic Sharable Arm Capacities. CoRR Hong Xie, Jinyu Mo, Defu Lian, Jie Wang, Enhong Chen
2024	J	`jnl`	Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems. IEEE Trans. Knowl. Data Eng. Hong Xie, Mingze Zhong, Xiaoyu Shi, Xiaoying Zhang, Jiang Zhong, Mingsheng Shang
2024	J	`jnl`	Q-learning with heterogeneous update strategy. Inf. Sci. Tao Tan, Hong Xie, Liang Feng
2024	J	`jnl`	Reinforcement Learning With Adaptive Policy Gradient Transfer Across Heterogeneous Problems. IEEE Trans. Emerg. Top. Comput. Intell. Gengzhi Zhang, Liang Feng, Yu Wang, Min Li, Hong Xie, Kay Chen Tan
2024	J	`jnl`	Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. ACM Trans. Inf. Syst. Xiaoyu Shi, Quanliang Liu, Hong Xie, Di Wu, Bo Peng, Mingsheng Shang, Defu Lian
2024	J	`jnl`	Robust and efficient algorithms for conversational contextual bandit. Inf. Sci. Haoran Gu, Yunni Xia, Hong Xie, Xiaoyu Shi, Mingsheng Shang
2024	—	`conf`	Understanding and Patching Compositional Reasoning in LLMs. ACL (Findings) Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei
2024	J	`jnl`	Understanding and Patching Compositional Reasoning in LLMs. CoRR Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei
2023	J	`jnl`	A Multiplier Bootstrap Approach to Designing Robust Algorithms for Contextual Bandits. IEEE Trans. Neural Networks Learn. Syst. Hong Xie, Qiao Tang, Qingsheng Zhu
2023	—	`conf`	A Predictive Coding Approach to Multivariate Time Series Anomaly Detection. DASFAA (1) Zhi Qi, Hong Xie, Mingsheng Shang
2023	B	`conf`	CGCCMR: An Enhanced Multi-gate Model for Cross-Market Recommendation. IJCNN Jinyu Mo, Hong Xie, Xiaoyu Shi, Mingsheng Shang
2023	J	`jnl`	Common Neighbors Matter: Fast Random Walk Sampling With Common Neighbor Awareness. IEEE Trans. Knowl. Data Eng. Rui Wang, Yongkun Li, Shuai Lin, Weijie Wu, Hong Xie, Yinlong Xu, John C. S. Lui
2023	—	`conf`	Contrastive Learning based Item Representation with Asymmetric Augmentation for Sequential Recommendation. ADMIT Kexiang Zeng, Xiaoyu Shi, Hong Xie, Mingsheng Shang
2023	J	`jnl`	Cooperation Preference Aware Shapley Value: Modeling, Algorithms and Applications. IEEE/ACM Trans. Netw. Hong Xie, John C. S. Lui
2023	J	`jnl`	Efficient algorithms for multi-armed bandits with additional feedbacks: Modeling and algorithms. Inf. Sci. Hong Xie, Haoran Gu, Zhi Qi
2023	J	`jnl`	Enhancing Sybil Detection via Social-Activity Networks: A Random Walk Approach. IEEE Trans. Dependable Secur. Comput. Xiaoying Zhang, Hong Xie, Pei Yi, John C. S. Lui
2023	J	`jnl`	Generalized Contextual Bandits With Latent Features: Algorithms and Applications. IEEE Trans. Neural Networks Learn. Syst. Xiongxiao Xu, Hong Xie, John C. S. Lui
2023	J	`jnl`	Interactive Graph Convolutional Filtering. CoRR Jin Zhang, Defu Lian, Hong Xie, Yawen Li, Enhong Chen
2023	A*	`conf`	Interactive Log Parsing via Light-weight User Feedback. WWW Liming Wang, Hong Xie, Ye Li, Jian Tan, John C. S. Lui
2023	J	`jnl`	Interactive Log Parsing via Light-weight User Feedbacks. CoRR Liming Wang, Hong Xie, Ye Li, Jian Tan, John C. S. Lui
2023	J	`jnl`	Invariant Representation Learning via Decoupling Style and Spurious Features. CoRR Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Hong Xie, Defu Lian
2023	J	`jnl`	Online Zero-Cost Learning: Optimizing Large Scale Network Rare Threats Simulation. IEEE Trans. Mob. Comput. TingWei Liu, Hong Xie, John C. S. Lui
2023	J	`jnl`	Optimizing Random Walk Based Statistical Estimation Over Graphs via Bootstrapping. IEEE Trans. Knowl. Data Eng. Hong Xie, Pei Yi, Yongkun Li, John C. S. Lui
2023	J	`jnl`	Optimizing recommendations under abandonment risks: Models and algorithms. Perform. Evaluation Xuchuang Wang, Hong Xie, Pinghui Wang, John C. S. Lui
2023	J	`jnl`	Pricing Social Visibility Service in Online Social Networks: Modeling and Algorithms. IEEE Trans. Netw. Sci. Eng. Shiyuan Zheng, Hong Xie, John C. S. Lui
2023	J	`jnl`	Quantifying Worker Reliability for Crowdsensing Applications: Robust Feedback Rating and Convergence. IEEE Trans. Mob. Comput. Hong Xie, John C. S. Lui
2023	A	`conf`	Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach. ICWS Xiaoyu Shi, Quanliang Liu, Hong Xie, Mingsheng Shang
2023	A*	`conf`	Uncertainty-Aware Instance Reweighting for Off-Policy Learning. NeurIPS Xiaoying Zhang, Junpu Chen, Hongning Wang, Hong Xie, Yang Liu, John C. S. Lui, Hang Li
2023	J	`jnl`	Uncertainty-Aware Off-Policy Learning. CoRR Xiaoying Zhang, Junpu Chen, Hongning Wang, Hong Xie, Hang Li
2023	A*	`conf`	Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback. INFOCOM Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui
2022	J	`jnl`	A Reinforcement Learning Approach to Price Cloud Resources With Provable Convergence Guarantees. IEEE Trans. Neural Networks Learn. Syst. Hong Xie, John C. S. Lui
2022	J	`jnl`	Betweenness centrality-based community adaptive network representation for link prediction. Appl. Intell. Mingqiang Zhou, Haijiang Jin, Quanwang Wu, Hong Xie, Qizhi Han
2022	J	`jnl`	Improving Bandit Learning Via Heterogeneous Information Networks: Algorithms and Applications. ACM Trans. Knowl. Discov. Data Xiaoying Zhang, Hong Xie, John C. S. Lui
2022	J	`jnl`	LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding. CoRR Zhi Qi, Hong Xie, Ye Li, Jian Tan, Feifei Li, John C. S. Lui
2022	A*	`conf`	Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications. IJCAI Xuchuang Wang, Hong Xie, John C. S. Lui
2022	J	`jnl`	Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications. CoRR Xuchuang Wang, Hong Xie, John C. S. Lui
2022	A*	`conf`	Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms. ICML Xuchuang Wang, Hong Xie, John C. S. Lui
2022	J	`jnl`	Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms. CoRR Xuchuang Wang, Hong Xie, John C. S. Lui
2022	J	`jnl`	Optimizing Social Visibility in OSNs With Anonymity Guarantees: Efficient Algorithms and Applications. IEEE Trans. Netw. Sci. Eng. Shiyuan Zheng, Hong Xie, John C. S. Lui
2022	B	`conf`	Reposting Service in Online Social Networks: Modeling and Online Incentive Protocols. ICNP Shiyuan Zheng, Xudong Liu, Hong Xie, John C. S. Lui
2022	J	`jnl`	Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization. IEEE Trans. Knowl. Data Eng. Li Ye, Hong Xie, Yishi Lin, John C. S. Lui
2022	J	`jnl`	Toward Fast and Scalable Random Walks over Disk-Resident Graphs via Efficient I/O Management. ACM Trans. Storage Rui Wang, Yongkun Li, Yinlong Xu, Hong Xie, John C. S. Lui, Shuibing He
2021	A*	`conf`	A Bootstrapping Approach to Optimize Random Walk Based Statistical Estimation over Graphs. ICDE Pei Yi, Hong Xie, Yongkun Li, John C. S. Lui
2021	A*	`conf`	A Robust Algorithm to Unifying Offline Causal Inference and Online Multi-armed Bandit Learning. ICDM Qiao Tang, Hong Xie
2021	A*	`conf`	Heterogeneous Information Assisted Bandit Learning: Theory and Application. ICDE Xiaoying Zhang, Hong Xie, John C. S. Lui
2021	J	`jnl`	On Modeling Influence Maximization in Social Activity Networks under General Settings. ACM Trans. Knowl. Discov. Data Rui Wang, Yongkun Li, Shuai Lin, Hong Xie, Yinlong Xu, John C. S. Lui
2021	J	`jnl`	Pricing Social Visibility Service in Online Social Networks: Modeling and Algorithms. CoRR Shiyuan Zheng, Hong Xie, John C. S. Lui
2021	B	`conf`	Pricing social visibility service in online social networks: modeling and algorithms. ASONAM Shiyuan Zheng, Hong Xie, John C. S. Lui
2021	A*	`conf`	Quantifying Assimilate-Contrast Effects in Online Rating Systems: Modeling, Analysis and Application. KDD Mingze Zhong, Hong Xie, Qingsheng Zhu
2021	A*	`conf`	Social Visibility Optimization in OSNs with Anonymity Guarantees: Modeling, Algorithms and Applications. ICDE Shiyuan Zheng, Hong Xie, John C. S. Lui
2021	J	`jnl`	Understanding Persuasion Cascades in Online Product Rating Systems: Modeling, Analysis, and Inference. ACM Trans. Knowl. Discov. Data Hong Xie, Mingze Zhong, Yongkun Li, John C. S. Lui
2021	A*	`conf`	Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision. WWW Ye Li, Hong Xie, Yishi Lin, John C. S. Lui
2020	J	`jnl`	A Reinforcement Learning Approach to Optimize Discount and Reputation Tradeoffs in E-commerce Systems. ACM Trans. Internet Techn. Hong Xie, Yongkun Li, John C. S. Lui
2020	J	`jnl`	Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions. CoRR Li Ye, Yishi Lin, Hong Xie, John C. S. Lui
2020	A*	`conf`	Conversational Contextual Bandit: Algorithm and Application. WWW Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui
2020	—	`conf`	GraphWalker: An I/O-Efficient and Resource-Friendly Graph Analytic System for Fast and Scalable Random Walks. USENIX ATC Rui Wang, Yongkun Li, Hong Xie, Yinlong Xu, John C. S. Lui
2020	J	`jnl`	Mining Deficiencies of Online Reputation Systems: Methodologies, Experiments and Implications. IEEE Trans. Serv. Comput. Hong Xie, John C. S. Lui
2020	A*	`conf`	Optimizing Mixture Importance Sampling Via Online Learning: Algorithms and Applications. INFOCOM TingWei Liu, Hong Xie, John C. S. Lui
2020	J	`jnl`	Quantifying Deployability and Evolvability of Future Internet Architectures via Economic Models. IEEE/ACM Trans. Netw. Ye Li, Hong Xie, John C. S. Lui, Kenneth L. Calvert
2020	A*	`conf`	Robust Product Rating Rules Against Herding Effects: Theory and Applications. ICDM Hong Xie, Mingze Zhong
2020	J	`jnl`	Understanding Assimilation-contrast Effects in Online Rating Systems: Modelling, Debiasing, and Applications. ACM Trans. Inf. Syst. Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C. S. Lui
2019	A*	`conf`	Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning. AAAI Hong Xie, Yongkun Li, John C. S. Lui
2019	J	`jnl`	Pay as Your Service Needs: An Application-Driven Pricing Approach for the Internet Economics. ACM Trans. Internet Techn. Hong Xie, Weijie Wu, Richard T. B. Ma, John C. S. Lui
2019	A*	`conf`	To Be or Not to Be: Analyzing & Modeling Social Recommendation in Online Social Networks. ICDM Ye Li, Hong Xie, Yishi Lin, John C. S. Lui
2019	J	`jnl`	Toward Building Conversational Recommender Systems: A Contextual Bandit Approach. CoRR Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui
2019	A*	`conf`	Understanding Persuasion Cascades in Online Product Rating Systems. AAAI Hong Xie, Yongkun Li, John C. S. Lui
2019	A*	`conf`	Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness. ICDE Yongkun Li, Zhiyong Wu, Shuai Lin, Hong Xie, Min Lv, Yinlong Xu, John C. S. Lui
2018	J	`jnl`	A Markov Decision Process Approach to Analyze Discount & Reputation Trade-offs in E-commerce Systems. SIGMETRICS Perform. Evaluation Rev. Hong Xie, John C. S. Lui
2018	J	`jnl`	Enhancing Reputation via Price Discounts in E-Commerce Systems: A Data-Driven Approach. ACM Trans. Knowl. Discov. Data Hong Xie, Richard T. B. Ma, John C. S. Lui
2018	J	`jnl`	Incentive Mechanism and Rating System Design for Crowdsourcing Systems: Analysis, Tradeoffs and Inference. IEEE Trans. Serv. Comput. Hong Xie, John C. S. Lui
2018	J	`jnl`	Information Spreading Forensics via Sequential Dependent Snapshots. IEEE/ACM Trans. Netw. Kechao Cai, Hong Xie, John C. S. Lui
2018	A*	`conf`	Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations. IJCAI Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C. S. Lui
2018	B	`conf`	Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models. ICNP Ye Li, Hong Xie, John C. S. Lui
2018	J	`jnl`	Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models. CoRR Li Ye, Hong Xie, John C. S. Lui
2018	B	`conf`	Sybil Detection in Social-Activity Networks: Modeling, Algorithms and Evaluations. ICNP Xiaoying Zhang, Hong Xie, John C. S. Lui
2017	—	`conf`	Measuring and Maximizing Influence via Random Walk in Social Activity Networks. DASFAA (2) Pengpeng Zhao, Yongkun Li, Hong Xie, Zhiyong Wu, Yinlong Xu, John C. S. Lui
2017	A*	`conf`	Mining Customer Valuations to Optimize Product Bundling Strategy. ICDM Li Ye, Hong Xie, Weijie Wu, John C. S. Lui
2016	J	`jnl`	Design and Analysis of Incentive and Reputation Mechanisms for Online Crowdsourcing Systems. ACM Trans. Model. Perform. Evaluation Comput. Syst. Hong Xie, John C. S. Lui, Don Towsley
2016	J	`jnl`	Generalization of Information Spreading Forensics via Sequential Dependent Snapshots. SIGMETRICS Perform. Evaluation Rev. Kechao Cai, Hong Xie, John C. S. Lui
2016	J	`jnl`	Impact of Online Activities on Influence Maximization: A Random Walk Approach. CoRR Pengpeng Zhao, Yongkun Li, Hong Xie, Zhiyong Wu, Yinlong Xu, Richard T. B. Ma, John C. S. Lui
2016	A*	`conf`	Trading Discount for Reputation?: On the Design and Analysis of E-Commerce Discount Mechanisms. SIGMETRICS Hong Xie, Richard T. B. Ma, John C. S. Lui
2015	A*	`conf`	A Data Driven Approach to Uncover Deficiencies in Online Reputation Systems. ICDM Hong Xie, John C. S. Lui
2015	A	`conf`	A Mechanism Approach to Reduce New Seller Ramp-Up Time in eBay-Like Reputation Systems. ICDCS Hong Xie, John C. S. Lui
2015	B	`conf`	Incentive and reputation mechanisms for online crowdsourcing systems. IWQoS Hong Xie, John C. S. Lui, Don Towsley
2015	J	`jnl`	Mathematical Modeling and Analysis of Product Rating with Partial Information. ACM Trans. Knowl. Discov. Data Hong Xie, John C. S. Lui
2015	J	`jnl`	Mathematical Modeling of Insurance Mechanisms for E-commerce Systems. CoRR Hong Xie, John C. S. Lui
2015	J	`jnl`	Modeling eBay-like reputation systems: Analysis, characterization and insurance mechanism design. Perform. Evaluation Hong Xie, John C. S. Lui
2014	B	`conf`	A provable algorithmic approach to product selection problems for market entry and sustainability. SSDBM Silei Xu, Yishi Lin, Hong Xie, John C. S. Lui
2014	—	`conf`	Incentive mechanism and protocol design for crowdsourcing systems. Allerton Hong Xie, John C. S. Lui, Joe Wenjie Jiang, Wei Chen
2014	B	`conf`	Mathematical Modeling of Crowdsourcing Systems: Incentive Mechanism and Rating System Design. MASCOTS Hong Xie, John C. S. Lui, Wenjie Jiang
2014	J	`jnl`	Mathematical modeling of group product recommendation with partial information: How many ratings do we need? Perform. Evaluation Hong Xie, John C. S. Lui
2014	J	`jnl`	Modeling crowdsourcing systems: design and analysis of incentive mechanism and rating system. SIGMETRICS Perform. Evaluation Rev. Hong Xie, John C. S. Lui
2013	J	`jnl`	Mathematical Modeling of Product Rating: Sufficiency, Misbehavior and Aggregation Rules CoRR Hong Xie, John C. S. Lui
2012	J	`jnl`	Mathematical Modeling of Competitive Group Recommendation Systems with Application to Peer Review Systems CoRR Hong Xie, John C. S. Lui