| 2026 | AAAI | Chain-of-Search: Parameter-Efficient Reasoning for Zero-Shot Object Navigation. | Hanrui Chen, Liqi Yan, Qifan Wang, Jianhui Zhang, Fangli Guan, Pan Li |
| 2026 | AAAI | AR-Nav Benchmark: Augmented Reality Navigation with Vision and Language. | Liqi Yan, Yihao Wu, Chenyi Xu, Chao Yang, Jianhui Zhang, Pan Li |
| 2026 | WWW | Towards A Universal Graph Structural Encoder. | Jialin Chen, Haolan Zuo, Haoyu Wang, Siqi Miao, Pan Li, Rex Ying |
| 2026 | WSDM | CoDA: A Context-Decoupled Hierarchical Agent with Reinforcement Learning. | Xuanzhang Liu, Jianglun Feng, Zhuoran Zhuang, Junzhe Zhao, Maofei Que, Jieting Li, Dianlei Wang, Hao Tong, Ye Chen, Pan Li |
| 2026 | WSDM | APPNet: Automatic Feature Partitioning-Based Parameter Personalized Network for Conversion Prediction in E-commerce. | Shui Liu, Mingyuan Tao, Maofei Que, Pan Li, Zhuoran Zhuang |
| 2026 | WSDM | AGP: Auto-Guided Prompt Refinement for Personalized Reranking in Recommender Systems. | Chen Wang, Mingdai Yang, Zhiwei Liu, Pan Li, Linsey Pang, Qingsong Wen, Philip S. Yu |
| 2025 | ACSAC | SnoopDog: Detecting USB Bus Sniffers Using Responsive EMR. | Srinivasan Murali, YoungTak Cho, Huadi Zhu, Pan Li, Ming Li |
| 2025 | ECAI | STaR: Multi-Granular Spatio-Temporal Reasoning for Long-Form Dense Video Captioning. | Yihao Wu, Chenhuan Cai, Liqi Yan, Huapeng Li, Jianhui Zhang, Jiahao Liu, Qifan Wang, Fangli Guan, Pan Li |
| 2025 | EMNLP | Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs. | Yao Fu, Runchao Li, Xianxuan Long, Haotian Yu, Xiaotian Han, Yu Yin, Pan Li |
| 2025 | EMNLP | Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs. | Yao Fu, Xianxuan Long, Runchao Li, Haotian Yu, Mu Sheng, Xiaotian Han, Yu Yin, Pan Li |
| 2025 | EMNLP | FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression. | Runchao Li, Yao Fu, Mu Sheng, Xianxuan Long, Haotian Yu, Pan Li |
| 2025 | EMNLP | Towards Universal Debiasing for Language Models-based Tabular Data Generation. | Tianchun Li, Tianci Liu, Xingchen Wang, Rongzhe Wei, Pan Li, Lu Su, Jing Gao |
| 2025 | EMNLP | When Truthful Representations Flip Under Deceptive Instructions? | Xianxuan Long, Yao Fu, Runchao Li, Mu Sheng, Haotian Yu, Xiaotian Han, Pan Li |
| 2025 | ICASSP | A Model Stealing Attack Against Multi-Exit Networks. | Pan Li, Peizhuo Lv, Kai Chen, Shengzhi Zhang, Yuling Cai, Fan Xiang |
| 2025 | ICLR | Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness. | Eli Chien, Pan Li |
| 2025 | ICLR | What Are Good Positional Encodings for Directed Graphs? | Yinan Huang, Haoyu Peter Wang, Pan Li |
| 2025 | ICLR | Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation. | Mufei Li, Siqi Miao, Pan Li |
| 2025 | ICLR | LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation. | Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li |
| 2025 | ICLR | Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing. | Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li |
| 2025 | ICML | Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning. | Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Pan Li, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin |
| 2025 | ICML | Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models. | Haoyu Peter Wang, Shikun Liu, Rongzhe Wei, Pan Li |
| 2025 | ICML | Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning. | Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien |
| 2025 | ICML | Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding. | Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang |
| 2025 | IJCAI | Optimal Distributed Training With Co-Adaptive Data Parallelism in Heterogeneous Environments. | Lifang Chen, Zhichao Chen, Liqi Yan, Yanyu Cheng, Fangli Guan, Pan Li |
| 2025 | IJCAI | Risk-Aware Task Migration for Multiplex Unmanned Swarm Networks in Adversarial Environments. | Kai Di, Tienyu Zuo, Pan Li, Yuanshuang Jiang, Fulin Chen, Yichuan Jiang |
| 2025 | ICSE | Enhancing the Open Network: Definition and Automated Detection of Smart Contract Defects. | Hao Song, Teng Li, Jiachi Chen, Ting Chen, Beibei Li, Zhangyan Lin, Yi Lu, Pan Li, Xihan Zhou |
| 2025 | ICSOC | Privacy-Preserving Revenue Prediction in Service-Oriented Industrial Supply Chains. | Xianghui Hu, Kai Di, Zhenyu Wang, Xinran Zhuang, Yichuan Jiang, Hang Liu, Pan Li |
| 2025 | ICWS | Service-Oriented Computation for Insider Trading Detection in Multiplex Networked Industrial Chains. | Fulin Chen, Tienyu Zuo, Kai Di, Yuanshuang Jiang, Pan Li, Yichuan Jiang |
| 2025 | ICWS | Managing Hybrid Dynamics in Multiplex Service Networks: A Group-based Task Migration Approach. | Kai Di, Tienyu Zuo, Pan Li, Yuanshuang Jiang, Fulin Chen, Yichuan Jiang |
| 2025 | ICWS | TS-GNN: A Temporal-Spatial Graph Neural Network for Anomaly Detection in Multiplex Industrial Information Services. | Pan Li, Tienyu Zuo, Yuanshuang Jiang, Fulin Chen, Kai Di, Yichuan Jiang |
| 2025 | ICWS | Supervised Pretraining for in-Context Decision in Conversational Service Recommendation. | Tienyu Zuo, Kai Di, Yuanshuang Jiang, Fulin Chen, Pan Li, Yichuan Jiang |
| 2025 | PDCAT | Real-Time Detection of Injection Attacks in Industrial Multi-agent Systems. | Qi Yu, Kai Di, Chengge Duan, Xinwei Xue, Pan Li |
| 2025 | SIGIR | NAM: A Normalization Attention Model for Personalized Product Search In Fliggy. | Shui Liu, Mingyuan Tao, Maofei Que, Pan Li, Dong Li, Shenghua Ni, Zhuoran Zhuang |
| 2025 | SP | EvilHarmony: Stealthy Adversarial Attacks Against Black-Box Speech Recognition Systems. | Xuejing Yuan, Jiangshan Zhang, Feng Guo, Kai Chen, Xiaofeng Wang, Shengzhi Zhang, Yuxuan Chen, Dun Liu, Pan Li, Zihao Wang, Runnan Zhu |
| 2024 | AAAI | A Non-parametric Graph Clustering Framework for Multi-View Data. | Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, Zhao Lv, Pan Li, Miao Wang, En Zhu |
| 2024 | GLOBECOM | Unleashing the Power of STAR-RIS for Enhanced Connectivity in Counteracting Random Blockages. | Zengjie Zhu, Xiaoxia Huang, Pan Li, Phone Lin |
| 2024 | HPCC | Leveraging Partitioning to Mitigate Concurrent Conflicts in Disaggregated Memory Key-Value Stores. | Pan Li, Lisha Qin, Nan Zhang, Hao Hu, Hao Huang, Shiyi Li, Wen Xia |
| 2024 | ICLR | Towards Poisoning Fair Representations. | Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao |
| 2024 | ICLR | On the Stability of Expressive Positional Encodings for Graphs. | Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li |
| 2024 | ICLR | Polynomial Width is Sufficient for Set Representation with High-dimensional Features. | Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li |
| 2024 | ICML | Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics. | Siqi Miao, Zhiyuan Lu, Mia Liu, Javier M. Duarte, Pan Li |
| 2024 | ICML | Pairwise Alignment Improves Graph Domain Adaptation. | Shikun Liu, Deyu Zou, Han Zhao, Pan Li |
| 2024 | ICML | Graph As Point Set. | Xiyuan Wang, Pan Li, Muhan Zhang |
| 2024 | ISSTA | Empirical Study of Move Smart Contract Security: Introducing MoveScan for Enhanced Analysis. | Shuwei Song, Jiachi Chen, Ting Chen, Xiapu Luo, Teng Li, Wenwu Yang, Leqing Wang, Weijie Zhang, Feng Luo, Zheyuan He, Yi Lu, Pan Li |
| 2024 | MMM | Self-supervised Edge Structure Learning for Multi-view Stereo and Parallel Optimization. | Pan Li, Suping Wu, Xitie Zhang, Yuxin Peng, Boyang Zhang, Bin Wang |
| 2024 | NDSS | SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-Supervised Learning. | Peizhuo Lv, Pan Li, Shenchen Zhu, Shengzhi Zhang, Kai Chen, Ruigang Liang, Chang Yue, Fan Xiang, Yuling Cai, Hualong Ma, Yingjun Zhang, Guozhu Meng |
| 2024 | PDCAT | Multi-agent Collaboration for Time-Sensitive Tasks in Multiple Networked Adversarial Scenarios. | Jian Wu, Yuanshuang Jiang, Pan Li, Xiangxiang Xing, Kai Di, Xin Wang, Qiang Liu, Liangping Cheng, Yichuan Jiang, Dan Chen |
| 2024 | PDCAT | Optimizing Production Component Scheduling in Multivariate Industrial Networks with Dynamic Changes in Production Costs. | Xiangxiang Xing, Fulin Chen, Tianyu Zuo, Pan Li, Kai Di, Xin Wang, Lifeng Chen, Yichuan Jiang, Dan Chen |
| 2024 | PDCAT | Research on Task Migration Problem Based on Link Uncertainty in Adversarial Scenarios. | Xiangxiang Xing, Pan Li, Tianyu Zuo, Yuanshuang Jiang, Kai Di, Xin Wang, Xun Jiao, Yichuan Jiang, Dan Chen |
| 2024 | WWW | Learning Scalable Structural Representations for Link Prediction with Bloom Signatures. | Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava |
| 2024 | SP | MEA-Defender: A Robust Watermark against Model Extraction Attack. | Peizhuo Lv, Hualong Ma, Kai Chen, Jiachen Zhou, Shengzhi Zhang, Ruigang Liang, Shenchen Zhu, Pan Li, Yingjun Zhang |
| 2024 | WSDM | GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. | Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li |
| 2023 | ACSAC | Continuous Authentication Using Human-Induced Electric Potential. | Srinivasan Murali, Wenqiang Jin, Vighnesh Sivaraman, Huadi Zhu, Tianxi Ji, Pan Li, Ming Li |
| 2023 | DAC | Mantra: Mutation Testing of Hardware Design Code Based on Real Bugs. | Jiang Wu, Yan Lei, Zhuo Zhang, Xiankai Meng, Deheng Yang, Pan Li, Jiayu He, Xiaoguang Mao |
| 2023 | EMNLP | Dual-Channel Span for Aspect Sentiment Triplet Extraction. | Pan Li, Ping Li, Kai Zhang |
| 2023 | GLOBECOM | Optimal Resource Allocation for U-Shaped Parallel Split Learning. | Song Lyu, Zheng Lin, Guanqiao Qu, Xianhao Chen, Xiaoxia Huang, Pan Li |
| 2023 | ICCV | Extensible and Efficient Proxy for Neural Architecture Search. | Yuhong Li, Jiajie Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen |
| 2023 | ICLR | Interpretable Geometric Deep Learning via Learnable Randomness Injection. | Siqi Miao, Yunan Luo, Mia Liu, Pan Li |
| 2023 | ICLR | Unsupervised Learning for Combinatorial Optimization Needs Meta Learning. | Haoyu Peter Wang, Pan Li |
| 2023 | ICLR | Equivariant Hypergraph Diffusion Neural Operators. | Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li |
| 2023 | ICML | Structural Re-weighting Improves Graph Domain Adaptation. | Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li |
| 2023 | NDSS | Privacy-Preserving Database Fingerprinting. | Tianxi Ji, Erman Ayday, Emre Yilmaz, Ming Li, Pan Li |
| 2023 | WWW | Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs. | Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li |
| 2022 | BMVC | Global Contextual Complementary Network for Multi-View Stereo. | Yongrong Cao, Suping Wu, Xing Zheng, Bin Wang, Pan Li, Zhixiang Yuan, Lei Lin, Yuxin Peng |
| 2022 | BMVC | Spatio-temporal tendency reasoning for human body pose and shape estimation from videos. | Boyang Zhang, Suping Wu, Hu Cao, Kehua Ma, Pan Li, Lei Lin |
| 2022 | CIKM | On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. | Hejie Cui, Zijie Lu, Pan Li, Carl Yang |
| 2022 | CVPR | Ranking Distance Calibration for Cross-Domain Few-Shot Learning. | Pan Li, Shaogang Gong, Chengjie Wang, Yanwei Fu |
| 2022 | CVPR | Better Trigger Inversion Optimization in Backdoor Scanning. | Guanhong Tao, Guangyu Shen, Yingqi Liu, Shengwei An, Qiuling Xu, Shiqing Ma, Pan Li, Xiangyu Zhang |
| 2022 | DAC | High-level synthesis performance prediction using GNNs: benchmarking, modeling, and advancing. | Nan Wu, Hang Yang, Yuan Xie, Pan Li, Cong Hao |
| 2022 | ICLR | Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction. | Mingyue Tang, Pan Li, Carl Yang |
| 2022 | ICLR | Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. | Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li |
| 2022 | ICML | Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism. | Siqi Miao, Mia Liu, Pan Li |
| 2022 | KDD | 4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. | Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang |
| 2022 | WWW | SATMargin: Practical Maximal Frequent Subgraph Mining via Margin Space Sampling. | Muyi Liu, Pan Li |
| 2022 | WWW | Neural Predicting Higher-order Patterns in Temporal Networks. | Yunyu Liu, Jianzhu Ma, Pan Li |
| 2021 | DAC | MELOPPR: Software/Hardware Co-design for Memory-efficient Low-latency Personalized PageRank. | Lixiang Li, Yao Chen, Zacharie Zirnheld, Pan Li, Cong Hao |
| 2021 | EMNLP | A Web Scale Entity Extraction System. | Xuanting Cai, Quanbin Ma, Jianyu Liu, Pan Li, Qi Zeng, Zhengkan Yang, Pushkar Tripathi |
| 2021 | ICCV | A Simple Feature Augmentation for Domain Generalization. | Pan Li, Da Li, Wei Li, Shaogang Gong, Yanwei Fu, Timothy M. Hospedales |
| 2021 | ICCV | Striking a Balance between Stability and Plasticity for Class-Incremental Learning. | Guile Wu, Shaogang Gong, Pan Li |
| 2021 | ICDM | Heterogeneous Graph Neural Network with Distance Encoding. | Houye Ji, Cheng Yang, Chuan Shi, Pan Li |
| 2021 | ICLR | Adaptive Universal Generalized PageRank Graph Neural Network. | Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic |
| 2021 | ICLR | Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. | Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li |
| 2021 | IJCAI | Regularising Knowledge Transfer by Meta Functional Learning. | Pan Li, Yanwei Fu, Shaogang Gong |
| 2021 | ITW | Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs. | Eli Chien, Pan Li, Olgica Milenkovic |
| 2021 | KDD | Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction. | Pan Li, Zhichao Jiang, Maofei Que, Yao Hu, Alexander Tuzhilin |
| 2021 | KDD | Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns. | Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma |
| 2021 | KDD | Bipartite Dynamic Representations for Abuse Detection. | Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec |
| 2021 | MOBIHOC | Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework. | Yifan Guo, Lixing Yu, Qianlong Wang, Tianxi Ji, Yuguang Fang, Jin Wei-Kocsis, Pan Li |
| 2021 | RAID | The Curse of Correlations for Robust Fingerprinting of Relational Databases. | Tianxi Ji, Emre Yilmaz, Erman Ayday, Pan Li |
| 2021 | RecSys | Leveraging Multi-Faceted User Preferences for Improving Click-Through Rate Predictions. | Pan Li |
| 2021 | WWW | MStream: Fast Anomaly Detection in Multi-Aspect Streams. | Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi |
| 2021 | WWW | Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning. | Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich |
| 2021 | WWW | TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks. | Yanbang Wang, Pan Li, Chongyang Bai, Jure Leskovec |
| 2021 | WSDM | F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. | Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec |
| 2020 | ICPADS | Secure and Verifiable Data Access Control Scheme With Policy Update and Computation Outsourcing for Edge Computing. | Yue Guan, Songtao Guo, Pan Li, Yuanyuan Yang |
| 2020 | IPCCC | Edge Computing Based Privacy-Preserving Data Aggregation Scheme in Smart Grid. | Yuhao Kang, Songtao Guo, Pan Li, Yuanyuan Yang |
| 2020 | RecSys | PURS: Personalized Unexpected Recommender System for Improving User Satisfaction. | Pan Li, Maofei Que, Zhichao Jiang, Yao Hu, Alexander Tuzhilin |
| 2020 | WSDM | DDTCDR: Deep Dual Transfer Cross Domain Recommendation. | Pan Li, Alexander Tuzhilin |
| 2020 | WSDM | Hybrid Utility Function for Unexpected Recommendations. | Pan Li |
| 2019 | ACML | Differentially Private Community Detection in Attributed Social Networks. | Tianxi Ji, Changqing Luo, Yifan Guo, Jinlong Ji, Weixian Liao, Pan Li |
| 2019 | AISTATS | HS | I (Eli) Chien, Huozhi Zhou, Pan Li |
| 2019 | COCOA | Approximation Algorithm and Incentive Ratio of the Selling with Preference. | Pan Li, Qiang Hua, Zhijun Hu, Hing-Fung Ting, Yong Zhang |
| 2019 | DASFAA | Top-k Spatial Keyword Quer with Typicality and Semantics. | Xiangfu Meng, Xiaoyan Zhang, Lin Li, Quangui Zhang, Pan Li |
| 2019 | EMNLP | Towards Controllable and Personalized Review Generation. | Pan Li, Alexander Tuzhilin |
| 2019 | GLOBECOM | MastDP: Matching Based Double Auction Mechanism for Spectrum Trading with Differential Privacy. | Feng Hu, Bing Chen, Jingyi Wang, Ming Li, Pan Li, Miao Pan |
| 2019 | GLOBECOM | Differentially Private Functional Mechanism for Generative Adversarial Networks. | Xinyue Zhang, Jiahao Ding, Sai Mounika Errapotu, Xiaoxia Huang, Pan Li, Miao Pan |
| 2019 | ICDM | Quantized Adversarial Training: An Iterative Quantized Local Search Approach. | Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, Pan Li |
| 2019 | IJCAI | Learning to Learn Gradient Aggregation by Gradient Descent. | Jinlong Ji, Xuhui Chen, Qianlong Wang, Lixing Yu, Pan Li |
| 2019 | KDD | Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. | Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler |
| 2019 | RecSys | Latent Modeling of Unexpectedness for Recommendations. | Pan Li, Alexander Tuzhilin |
| 2019 | RecSys | Latent multi-criteria ratings for recommendations. | Pan Li, Alexander Tuzhilin |
| 2019 | SISAP | Subspace Determination Through Local Intrinsic Dimensional Decomposition. | Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek |
| 2018 | AAAI | Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach. | Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong |
| 2018 | ACML | SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud. | Xuhui Chen, Jinlong Ji, Lixing Yu, Changqing Luo, Pan Li |
| 2018 | ACML | Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach. | Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, Pan Li |
| 2018 | CISS | Bayesian renewables scenario generation via deep generative networks. | Yize Chen, Pan Li, Baosen Zhang |
| 2018 | GLOBECOM | Efficient Privacy-Preserving Large-Scale CP Tensor Decompositions. | Changqing Luo, Sergio Salinas, Pan Li |
| 2018 | GLOBECOM | Energy-Based Detection of Defect Injection Attacks in IoT-Enabled Manufacturing. | Sergio A. Salinas Monroy, Ming Li, Pan Li |
| 2018 | GLOBECOM | Data-Driven Caching with Users' Local Differential Privacy in Information-Centric Networks. | Xinyue Zhang, Jingyi Wang, Hongning Li, Yuanxiong Guo, Qingqi Pei, Pan Li, Miao Pan |
| 2018 | ICDM | Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. | Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han |
| 2018 | ICML | Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering. | Pan Li, Olgica Milenkovic |
| 2018 | PAKDD | Cross-Domain Sentiment Classification via a Bifurcated-LSTM. | Jinlong Ji, Changqing Luo, Xuhui Chen, Lixing Yu, Pan Li |
| 2017 | ACSSC | Distribution system voltage control under uncertainties. | Pan Li, Baosen Zhang |
| 2017 | AISTATS | Efficient Rank Aggregation via Lehmer Codes. | Pan Li, Arya Mazumdar, Olgica Milenkovic |
| 2017 | DASC | Energy-Efficient Autonomic Offloading in Mobile Edge Computing. | Changqing Luo, Sergio Salinas, Ming Li, Pan Li |
| 2017 | INFOCOM | Motif clustering and overlapping clustering for social network analysis. | Pan Li, Hoang Dau, Gregory J. Puleo, Olgica Milenkovic |
| 2017 | ISIT | Multiclass MinMax rank aggregation. | Pan Li, Olgica Milenkovic |
| 2017 | TrustCom | Efficient Privacy-Preserving Outsourcing of Large-Scale QR Factorization. | Changqing Luo, Kaijin Zhang, Sergio Salinas, Pan Li |
| 2016 | CCS | Efficient Secure Outsourcing of Large-scale Quadratic Programs. | Sergio Salinas, Changqing Luo, Weixian Liao, Pan Li |
| 2016 | GLOBECOM | Privacy-Preserving Spectrum Query with Location Proofs in Database-Driven CRNs. | Jiajun Xin, Ming Li, Changqing Luo, Pan Li |
| 2016 | HPCC | Efficient Privacy-Preserving Outsourcing of Large-Scale Convex Separable Programming for Smart Cities. | Weixian Liao, Wei Du, Sergio Salinas, Pan Li |
| 2016 | INFOCOM | Privacy-preserving verifiable data aggregation and analysis for cloud-assisted mobile crowdsourcing. | Gaoqiang Zhuo, Qi Jia, Linke Guo, Ming Li, Pan Li |
| 2015 | GLOBECOM | Outsourcing Power System Simulations. | Yue Tong, Jinyuan Sun, Kai Sun, Pan Li |
| 2015 | INFOCOM | PPER: Privacy-preserving economic-robust spectrum auction in wireless networks. | Ming Li, Pan Li, Linke Guo, Xiaoxia Huang |
| 2015 | INFOCOM | Verifiable privacy-preserving monitoring for cloud-assisted mHealth systems. | Linke Guo, Yuguang Fang, Ming Li, Pan Li |
| 2015 | INFOCOM | Efficient secure outsourcing of large-scale linear systems of equations. | Sergio Salinas, Changqing Luo, Xuhui Chen, Pan Li |
| 2015 | ISIT | On recovery of sparse signals with block structures. | Pan Li, Wei Dai, Huadong Meng, Xiqin Wang |
| 2015 | MASS | Retraining and Dynamic Privilege for Implicit Authentication Systems. | Yingyuan Yang, Jinyuan Stella Sun, Chi Zhang, Pan Li |
| 2014 | GLOBECOM | Efficient data collection for wireless rechargeable sensor clusters in Harsh terrains using UAVs. | Yawei Pang, Yanru Zhang, Yunan Gu, Miao Pan, Zhu Han, Pan Li |
| 2014 | ICDCS | Optimal Energy Cost for Strongly Stable Multi-hop Green Cellular Networks. | Weixian Liao, Ming Li, Sergio Salinas, Pan Li, Miao Pan |
| 2014 | VTC | A Feature Selection Method Based on the Sparse Multi-Class SVM for Fingerprinting Localization. | Pan Li, Huadong Meng, Xiqin Wang |
| 2013 | ICASSP | Hyperparameter-free DOA estimation under power constraints. | Chundi Zheng, Gang Li, Pan Li, Xiqin Wang |
| 2013 | INFOCOM | Economic-robust transmission opportunity auction in multi-hop wireless networks. | Ming Li, Pan Li, Miao Pan, Jinyuan Sun |
| 2013 | INFOCOM | n-CD: A geometric approach to preserving location privacy in location-based services. | Ming Li, Sergio Salinas, Arun Thapa, Pan Li |
| 2013 | WCNC | A decentralized adaptive TDMA scheduling strategy for VANET. | Ke Wang, Weidong Yang, Pan Li, Hongsong Zhu |
| 2012 | INFOCOM | Connectivity of large-scale Cognitive Radio Ad Hoc Networks. | Dianjie Lu, Xiaoxia Huang, Pan Li, Jianping Fan |
| 2012 | INFOCOM | Spectrum clouds: A session based spectrum trading system for multi-hop cognitive radio networks. | Miao Pan, Pan Li, Yang Song, Yuguang Fang, Phone Lin |
| 2012 | IGARSS | A segmentation algorithm of 3D building model. | Pan Li, Hong Fan, Hao Feng |
| 2012 | SECON | Privacy-preserving energy theft detection in smart grids. | Sergio Salinas, Ming Li, Pan Li |
| 2011 | GLOBECOM | Source Localization on Two-Dimensional Grid. | Kui Liu, Yang Cheng, Pan Li, Tarunraj Singh |
| 2011 | GLOBECOM | Dealing with the Untrustworthy Auctioneer in Combinatorial Spectrum Auctions. | Miao Pan, Hongyan Li, Pan Li, Yuguang Fang |
| 2011 | ICDCS | Coolest Path: Spectrum Mobility Aware Routing Metrics in Cognitive Ad Hoc Networks. | Xiaoxia Huang, Dianjie Lu, Pan Li, Yuguang Fang |
| 2011 | INFOCOM | Capacity scaling of multihop cellular networks. | Pan Li, Xiaoxia Huang, Yuguang Fang |
| 2011 | INFOCOM | The capacity of three-dimensional wireless ad hoc networks. | Pan Li, Miao Pan, Yuguang Fang |
| 2011 | INFOCOM | Joint routing and link scheduling for cognitive radio networks under uncertain spectrum supply. | Miao Pan, Chi Zhang, Pan Li, Yuguang Fang |
| 2010 | GLOBECOM | Reward and Risk for Opportunistic Spectrum Accessing in Cognitive Radio Networks. | Miao Pan, Yang Song, Pan Li, Yuguang Fang |
| 2010 | INFOCOM | The Capacity of Heterogeneous Wireless Networks. | Pan Li, Yuguang Fang |
| 2010 | INFOCOM | Throughput, Delay, and Mobility in Wireless Ad Hoc Networks. | Pan Li, Yuguang Fang, Jie Li |
| 2010 | Qshine | Transport Control Based on Spectrum Switching Detection in Cognitive Radio Ad Hoc Networks. | Ren Han, Xiaoxia Huang, Pan Li |
| 2010 | SiggraphA | The birthday gift. | Di He, Pan Li, Jiong Li |
| 2009 | MSWIM | RENA: region-based routing in intermittently connected mobile network. | Hao Wen, Jia Liu, Chuang Lin, Fengyuan Ren, Pan Li, Yuguang Fang |
| 2008 | ICDCS | Decentralized Routing in Nonhomogeneous Poisson Networks. | Chi Zhang, Pan Li, Yuguang Fang, Pramod P. Khargonekar |
| 2008 | Qshine | Leveraging spatial reuse with adaptive carrier sensing in 802.11 wireless networks. | Qiang Shen, Xuming Fang, Rongsheng Huang, Pan Li, Yuguang Fang |
| 2007 | GLOBECOM | Channel Interference in IEEE 802.11b Systems. | Pan Li, Nicola Scalabrino, Yuguang Fang, Enrico Gregori, Imrich Chlamtac |
| 2007 | ICDCS | Asymptotic Connectivity in Wireless Networks Using Directional Antennas. | Pan Li, Chi Zhang, Yuguang Fang |