Xiaoli Li

393 papers A* 60A 13B 12C 6Misc 6Journal 227Unranked 64
YearRankTypeTitle / Venue / Authors
2026 J jnl
AnalogAgent: Self-Improving Analog Circuit Design Automation with LLM Agents.
CoRR
Zhixuan Bao, Zhuoyi Lin, Jiageng Wang, Jinhai Hu, Yuan Gao, Yaoxin Wu, Xiaoli Li, Xun Xu
2026 A* conf
Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation.
AAAI
Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin, Zhengyuan Zhang, Haiyan Yin, Zhiguang Cao, Senthilnath Jayavelu, Xiaoli Li
2026 J jnl
Consistency-Aware Editing for Entity-level Unlearning in Language Models.
CoRR
Xiaoqi Han, Víctor Gutiérrez-Basulto, Ru Li, Xiaoli Li, Jiye Liang, Jeff Z. Pan
2026 J jnl
DRAGON: LLM-Driven Decomposition and Reconstruction Agents for Large-Scale Combinatorial Optimization.
CoRR
Shengkai Chen, Zhiguang Cao, Jianan Zhou, Yaoxin Wu, Senthilnath Jayavelu, Zhuoyi Lin, Xiaoli Li, Shili Xiang
2026 J jnl
Eliminate Conflicts and Attacks: Fair and Robust Federated Learning for Anomaly Detection of Charging Stations.
IEEE Trans. Intell. Transp. Syst.
Yuange Liu, Yuru Liu, Weishan Zhang, Daobin Luo, Qiao Qiao, Shaohua Cao, Baoyu Zhang, Tao Chen, Hongwei Zhao, Xiaoli Li
2026 J jnl
Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation.
CoRR
Yubo Hou, Mohamed Ragab, Yucheng Wang, Min Wu, Abdulla Alseiari, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen
2026 J jnl
Evidentially Calibrated Source-Free Time-Series Domain Adaptation With Temporal Imputation.
IEEE Trans. Knowl. Data Eng.
Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen
2026 J jnl
Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation.
CoRR
Huanyu Li, Kun Lei, Sheng Zang, Kaizhe Hu, Yongyuan Liang, Bo An, Xiaoli Li, Huazhe Xu
2026 J jnl
From Inconsistency to Unity: Benchmarking Deep Learning-Based Unsupervised Domain Adaptation for RUL.
IEEE Trans Autom. Sci. Eng.
Tilman Krokotsch, Mohamed Ragab, Min Wu, Xiaoli Li, Zhenghua Chen, Clemens Gühmann
2026 J jnl
Learnable Game-Theoretic Policy Optimization for Data-Centric Self-Explanation Rationalization.
IEEE Trans. Knowl. Data Eng.
Yunxiao Zhao, Zhiqiang Wang, Xingtong Yu, Xiaoli Li, Jiye Liang, Ru Li
2026 J jnl
Learning More With Less: A Generalizable, Self-Supervised Framework for Privacy-Preserving Capacity Estimation With EV Charging Data.
IEEE Trans. Ind. Informatics
Anushiya Arunan, Yan Qin, Xiaoli Li, U-Xuan Tan, H. Vincent Poor, Chau Yuen
2026 J jnl
LogicScore: Fine-grained Logic Evaluation of Conciseness, Completeness, and Determinateness in Attributed Question Answering.
CoRR
Zhichao Yan, Yunxiao Zhao, Jiapu Wang, Jiaoyan Chen, Shaoru Guo, Xiaoli Li, Ru Li, Jeff Z. Pan
2026 A* conf
PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation.
AAAI
Fuyuan Cao, Jiaxuan Zhang, Xiaoli Li
2026 J jnl
Problem decomposition guided by reasoning utility for complex reasoning in LLMs.
Inf. Process. Manag.
Yaxin Guo, Hongye Tan, Ru Li, Xiaoli Li, Xinyi Sun, Pengpeng Qiang, Hu Zhang
2026 J jnl
Robust Distributed Extended Kalman Filter Based on Adaptive Multikernel Mixture Maximum Correntropy for Non-Gaussian Systems.
IEEE Trans. Reliab.
Duc Viet Nguyen, Haiquan Zhao, Jinhui Hu, Xiaoli Li
2026 J jnl
SRCR: Faithful structured reasoning with curriculum reinforcement learning for explainable question answering.
Inf. Process. Manag.
Yue Fan, Hu Zhang, Ru Li, Guangjun Zhang, Yujie Wang, Hongye Tan, Yuanlong Wang, Xiaoli Li, Jiye Liang
2026 A* conf
TGCD: A Framework for Generalized Category Discovery in Time-Series Data.
AAAI
Chandan Gautam, Lew Choon Hean, Ankit Das, Xiaoli Li, Savitha Ramasamy
2026 J jnl
Target-Specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction.
IEEE Trans Autom. Sci. Eng.
Yubo Hou, Mohamed Ragab, Min Wu, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen
2026 J jnl
Target-oriented consistent cross-modal alignment framework for multimodal stance detection.
Neurocomputing
Shuqi Li, Yang Li, Bin Liang, Suge Wang, Xiaoli Li, Deyu Li, Jian Liao, Jianxing Zheng, Ruifeng Xu, Jun Zhao
2025 J jnl
Atomic Fact Decomposition Helps Attributed Question Answering.
IEEE Trans. Knowl. Data Eng.
Zhichao Yan, Jiapu Wang, Jiaoyan Chen, Xiaoli Li, Jiye Liang, Ru Li, Jeff Z. Pan
2025 — conf
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation.
KDD (1)
Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang
2025 J jnl
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation.
CoRR
Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang
2025 J jnl
Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation.
CoRR
Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin, Zhengyuan Zhang, Haiyan Yin, Zhiguang Cao, Senthilnath Jayavelu, Xiaoli Li
2025 J jnl
CKEMI: Concept knowledge enhanced metaphor identification framework.
Inf. Process. Manag.
Dian Wang, Yang Li, Suge Wang, Xin Chen, Jian Liao, Deyu Li, Xiaoli Li
2025 J jnl
Certified Robustness against Sensor Heterogeneity in Acoustic Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Phuc Duc Nguyen, Yimin Dai, Xiaoli Li, Rui Tan
2025 A* conf
Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation.
ICML
Jiaxuan Zhang, Emadeldeen Eldele, Fuyuan Cao, Yang Wang, Xiaoli Li, Jiye Liang
2025 A conf
Decomposing and Revising What Language Models Generate.
ECAI
Zhichao Yan, Jiaoyan Chen, Jiapu Wang, Xiaoli Li, Ru Li, Jeff Z. Pan
2025 J jnl
Decomposing and Revising What Language Models Generate.
CoRR
Zhichao Yan, Jiaoyan Chen, Jiapu Wang, Xiaoli Li, Ru Li, Jeff Z. Pan
2025 J jnl
Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends.
CoRR
Yucheng Wang, Mohamed Ragab, Yubo Hou, Zhenghua Chen, Min Wu, Xiaoli Li
2025 J jnl
Do Reviews Matter for Recommendations in the Era of Large Language Models?
CoRR
Chee Heng Tan, Huiying Zheng, Jing Wang, Zhuoyi Lin, Shaodi Feng, Huijing Zhan, Xiaoli Li, J. Senthilnath
2025 J jnl
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models.
IEEE Trans. Image Process.
Aye Phyu Phyu Aung, Xinrun Wang, Ruiyu Wang, Hau Chan, Bo An, Xiaoli Li, J. Senthilnath
2025 J jnl
Efficient Distortion-Minimized Layerwise Pruning.
IEEE Trans. Pattern Anal. Mach. Intell.
Kaixin Xu, Zhe Wang, Runtao Huang, Xue Geng, Jie Lin, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2025 A conf
Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL.
AAMAS
Sheng Zang, Zhiguang Cao, Bo An, Senthilnath Jayavelu, Xiaoli Li
2025 J jnl
Enhancing few-shot KB-VQA with panoramic image captions guided by Large Language Models.
Neurocomputing
Pengpeng Qiang, Hongye Tan, Xiaoli Li, Dian Wang, Ru Li, Xinyi Sun, Hu Zhang, Jiye Liang
2025 J jnl
EntroPE: Entropy-Guided Dynamic Patch Encoder for Time Series Forecasting.
CoRR
Sachith Abeywickrama, Emadeldeen Eldele, Min Wu, Xiaoli Li, Chau Yuen
2025 J jnl
Error Analyses of Auto-Regressive Video Diffusion Models: A Unified Framework.
CoRR
Jing Wang, Fengzhuo Zhang, Xiaoli Li, Vincent Y. F. Tan, Tianyu Pang, Chao Du, Aixin Sun, Zhuoran Yang
2025 J jnl
Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation.
IEEE Trans. Instrum. Meas.
Yubo Hou, Mohamed Ragab, Yucheng Wang, Min Wu, Abdulla Alseiari, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen
2025 — conf
Explaining Black-Box Language Models with Knowledge Probing Systems: A Post-hoc Explanation Perspective.
DASFAA (6)
Yunxiao Zhao, Hao Xu, Zhiqiang Wang, Xiaoli Li, Jiye Liang, Ru Li
2025 J jnl
Explaining Black-box Language Models with Knowledge Probing Systems: A Post-hoc Explanation Perspective.
CoRR
Yunxiao Zhao, Hao Xu, Zhiqiang Wang, Xiaoli Li, Jiye Liang, Ru Li
2025 J jnl
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Jin Chao, Manas Gupta, XuLei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li
2025 J jnl
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments.
CoRR
Anushiya Arunan, Yan Qin, Xiaoli Li, Chau Yuen
2025 J jnl
Intelligently Augmented Contrastive Tensor Factorization: Empowering multi-dimensional time series classification in low-data environments.
Expert Syst. Appl.
Anushiya Arunan, Yan Qin, Xiaoli Li, Chau Yuen
2025 J jnl
Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective.
CoRR
Meng Xiao, Weiliang Zhang, Xiaohan Huang, Hengshu Zhu, Min Wu, Xiaoli Li, Yuanchun Zhou
2025 J jnl
Knowledge-Guided Gene Panel Selection for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective.
IEEE Trans. Comput. Biol. Bioinform.
Meng Xiao, Weiliang Zhang, Xiaohan Huang, Hengshu Zhu, Min Wu, Xiaoli Li, Yuanchun Zhou
2025 J jnl
Learnable Game-theoretic Policy Optimization for Data-centric Self-explanation Rationalization.
CoRR
Yunxiao Zhao, Zhiqiang Wang, Xingtong Yu, Xiaoli Li, Jiye Liang, Ru Li
2025 J jnl
Learning More with Less: A Generalizable, Self-Supervised Framework for Privacy-Preserving Capacity Estimation with EV Charging Data.
CoRR
Anushiya Arunan, Yan Qin, Xiaoli Li, U-Xuan Tan, H. Vincent Poor, Chau Yuen
2025 A conf
Learning to Identify Seen, Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning.
WACV
Sethupathy Parameswaran, Yuan Fang, Chandan Gautam, Savitha Ramasamy, Xiaoli Li
2025 J jnl
Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Yucheng Wang, Min Wu, Ruibing Jin, Xiaoli Li, Lihua Xie, Zhenghua Chen
2025 J jnl
Multi-granularity contrastive zero-shot learning model based on attribute decomposition.
Inf. Process. Manag.
Yuanlong Wang, Jing Wang, Yue Fan, Qinghua Chai, Hu Zhang, Xiaoli Li, Ru Li
2025 J jnl
NEXT: A New Secondary Index Framework for LSM-based Data Storage.
Proc. ACM Manag. Data
Jiachen Shi, Jingyi Yang, Gao Cong, Xiaoli Li
2025 J jnl
PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation.
CoRR
Fuyuan Cao, Jiaxuan Zhang, Xiaoli Li
2025 J jnl
Prompting Large Language Models with Partial Knowledge for Answering Questions with Unseen Entities.
CoRR
Zhichao Yan, Jiapu Wang, Jiaoyan Chen, Yanyan Wang, Hongye Tan, Jiye Liang, Xiaoli Li, Ru Li, Jeff Z. Pan
2025 J jnl
Sequence Transferability and Task Order Selection in Continual Learning.
CoRR
Thinh Nguyen, Cuong N. Nguyen, Quang Pham, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Cuong V. Nguyen
2025 — conf
Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation.
KDD (2)
Peiliang Gong, Yucheng Wang, Min Wu, Zhenghua Chen, Xiaoli Li, Daoqiang Zhang
2025 J jnl
Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation.
CoRR
Peiliang Gong, Yucheng Wang, Min Wu, Zhenghua Chen, Xiaoli Li, Daoqiang Zhang
2025 J jnl
UniFault: A Fault Diagnosis Foundation Model from Bearing Data.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Xu Qing, Edward, Zhenghua Chen, Min Wu, Xiaoli Li, Jay Lee
2024 J jnl
A Change Point Detection Integrated Remaining Useful Life Estimation Model under Variable Operating Conditions.
CoRR
Anushiya Arunan, Yan Qin, Xiaoli Li, Chau Yuen
2024 J jnl
A Federated Learning-Based Industrial Health Prognostics for Heterogeneous Edge Devices Using Matched Feature Extraction.
IEEE Trans Autom. Sci. Eng.
Anushiya Arunan, Yan Qin, Xiaoli Li, Chau Yuen
2024 A conf
A Low-Texture Robust Hybrid Feature Based Visual Odometry.
IROS
He Wang, Qi Zhang, Zhiwen Zheng, Xiaoli Li, Hongye Tan, Ru Li
2024 J jnl
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.
CoRR
Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu
2024 J jnl
A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends.
CoRR
Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 — conf
AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization.
ACL (Short Papers)
Yunxiao Zhao, Zhiqiang Wang, Xiaoli Li, Jiye Liang, Ru Li
2024 J jnl
An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction.
IEEE Trans. Ind. Informatics
Ruibing Jin, Duo Zhou, Min Wu, Xiaoli Li, Zhenghua Chen
2024 J jnl
Atomic Fact Decomposition Helps Attributed Question Answering.
CoRR
Zhichao Yan, Jiapu Wang, Jiaoyan Chen, Xiaoli Li, Ru Li, Jeff Z. Pan
2024 — conf
Class Name Guided Out-of-Scope Intent Classification.
EMNLP (Findings)
Chandan Gautam, Sethupathy Parameswaran, Aditya Kane, Yuan Fang, Savitha Ramasamy, Suresh Sundaram, Sunil Sahu, Xiaoli Li
2024 J jnl
CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition.
CoRR
Quang Pham, Giang Do, Huy Nguyen, TrungTin Nguyen, Chenghao Liu, Mina Sartipi, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi, Nhat Ho
2024 A* conf
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs.
EMNLP
Liu Ran, Zhongzhou Liu, Xiaoli Li, Yuan Fang
2024 J jnl
Contrastive Domain Adaptation for Time-Series Via Temporal Mixup.
IEEE Trans. Artif. Intell.
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2024 J jnl
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection.
CoRR
Kaixin Xu, Qingtian Feng, Hao Chen, Zhe Wang, Xue Geng, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2024 J jnl
Diversified and Adaptive Negative Sampling on Knowledge Graphs.
CoRR
Ran Liu, Zhongzhou Liu, Xiaoli Li, Hao Wu, Yuan Fang
2024 — conf
Document-Level Event Extraction via Information Interaction Based on Event Relation and Argument Correlation.
LREC/COLING
Bangze Pan, Yang Li, Suge Wang, Xiaoli Li, Deyu Li, Jian Liao, Jianxing Zheng
2024 J jnl
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models.
CoRR
Aye Phyu Phyu Aung, Xinrun Wang, Ruiyu Wang, Hau Chan, Bo An, Xiaoli Li, J. Senthilnath
2024 J jnl
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments.
CoRR
Edward, Mohamed Ragab, Min Wu, Yuecong Xu, Zhenghua Chen, Abdulla Alseiari, Xiaoli Li
2024 J jnl
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation.
CoRR
Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen
2024 J jnl
Evolving Restricted Boltzmann Machine-Kohonen Network for Online Clustering.
CoRR
J. Senthilnath, Adithya Bhattiprolu, Ankur Singh, Bangjian Zhou, Min Wu, Jón Atli Benediktsson, Xiaoli Li
2024 J jnl
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.
CoRR
Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, XuLei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li
2024 A* conf
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data.
AAAI
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 A* conf
Generative Semi-supervised Graph Anomaly Detection.
NeurIPS
Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang
2024 J jnl
Generative Semi-supervised Graph Anomaly Detection.
CoRR
Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang
2024 J jnl
Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study.
Int. J. Comput. Vis.
Yuecong Xu, Haozhi Cao, Jianxiong Yin, Zhenghua Chen, Xiaoli Li, Zhengguo Li, Qianwen Xu, Jianfei Yang
2024 A* conf
Graph-Aware Contrasting for Multivariate Time-Series Classification.
AAAI
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 A* conf
Inference Helps PLMs' Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs.
EMNLP
Juncai Li, Ru Li, Xiaoli Li, Qinghua Chai, Jeff Z. Pan
2024 — conf
InstructEd: Soft-Instruction Tuning for Model Editing with Hops.
ACL (Findings)
Xiaoqi Han, Ru Li, Xiaoli Li, Jiye Liang, Zifang Zhang, Jeff Z. Pan
2024 J jnl
Integrating curriculum learning with meta-learning for general rhetoric identification.
Int. J. Mach. Learn. Cybern.
Dian Wang, Yang Li, Suge Wang, Xiaoli Li, Xin Chen, Shuqi Li, Jian Liao, Deyu Li
2024 Misc conf
Interpretable Policy Extraction with Neuro-Symbolic Reinforcement Learning.
ICASSP
Rajdeep Dutta, Qincheng Wang, Ankur Singh, Dhruv Kumarjiguda, Xiaoli Li, Senthilnath Jayavelu
2024 J jnl
Introduction to 3D Deep Learning.
World Sci. Annu. Rev. Artif. Intell.
XuLei Yang, Xiaoli Li, Hao Su
2024 J jnl
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data.
CoRR
Yucheng Wang, Ruibing Jin, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 J jnl
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices.
CoRR
Ruibing Jin, Qing Xu, Min Wu, Yuecong Xu, Dan Li, Xiaoli Li, Zhenghua Chen
2024 — conf
LPViT: Low-Power Semi-structured Pruning for Vision Transformers.
ECCV (71)
Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2024 J jnl
LPViT: Low-Power Semi-structured Pruning for Vision Transformers.
CoRR
Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2024 J jnl
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation.
Trans. Mach. Learn. Res.
Yuecong Xu, Jianfei Yang, Haozhi Cao, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 J jnl
MetaEmotionNet: Spatial-Spectral-Temporal-Based Attention 3-D Dense Network With Meta-Learning for EEG Emotion Recognition.
IEEE Trans. Instrum. Meas.
Xiaojun Ning, Jing Wang, Youfang Lin, Xiyang Cai, Haobin Chen, Haijun Gou, Xiaoli Li, Ziyu Jia
2024 J jnl
Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network.
IEEE Trans. Artif. Intell.
Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 J jnl
Practical Cyber Attack Detection With Continuous Temporal Graph in Dynamic Network System.
IEEE Trans. Inf. Forensics Secur.
Guanghan Duan, Hongwu Lv, Huiqiang Wang, Guangsheng Feng, Xiaoli Li
2024 A* conf
Reinforced Cross-Domain Knowledge Distillation on Time Series Data.
NeurIPS
Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
2024 J jnl
Reinforced Knowledge Distillation for Time Series Regression.
IEEE Trans. Artif. Intell.
Qing Xu, Keyu Wu, Min Wu, Kezhi Mao, Xiaoli Li, Zhenghua Chen
2024 J jnl
Reinforced Reweighting for Self-Supervised Partial Domain Adaptation.
IEEE Trans. Artif. Intell.
Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen
2024 B conf
Rethinking the Role of Structural Information: How It Enhances Code Representation Learning?
IJCNN
Qiushi Sun, Nuo Chen, Jianing Wang, Xiaoli Li
2024 J jnl
SEA++: Multi-Graph-Based Higher-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 J jnl
Self-Supervised Autoregressive Domain Adaptation for Time Series Data.
IEEE Trans. Neural Networks Learn. Syst.
Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li
2024 J jnl
Self-evolving Autoencoder Embedded Q-Network.
CoRR
J. Senthilnath, Bangjian Zhou, Zhen Wei Ng, Deeksha Aggarwal, Rajdeep Dutta, Ji Wei Yoon, Aye Phyu Phyu Aung, Keyu Wu, Min Wu, Xiaoli Li
2024 A* conf
TSLANet: Rethinking Transformers for Time Series Representation Learning.
ICML
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li
2024 J jnl
TSLANet: Rethinking Transformers for Time Series Representation Learning.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li
2024 J jnl
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation.
CoRR
Yucheng Wang, Peiliang Gong, Min Wu, Felix Ott, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 J jnl
UAV formation path planning for mountainous forest terrain utilizing an artificial rabbit optimizer incorporating reinforcement learning and thermal conduction search strategies.
Adv. Eng. Informatics
Wentao Wang, Xiaoli Li, Jun Tian
2024 J jnl
WiCAU: Comprehensive Partial Adaptation With Uncertainty-Aware for WiFi-Based Cross-Environment Activity Recognition.
IEEE Trans. Instrum. Meas.
Wei Cui, Keyu Wu, Min Wu, Xiaoli Li, Zhenghua Chen
2023 J jnl
A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction.
CoRR
Anushiya Arunan, Yan Qin, Xiaoli Li, Chau Yuen
2023 J jnl
A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment.
IEEE Trans. Sustain. Comput.
Devki Nandan Jha, Zhenghua Chen, Shudong Liu, Min Wu, Jiahan Zhang, Graham Morgan, Rajiv Ranjan, Xiaoli Li
2023 J jnl
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life.
IEEE CAA J. Autom. Sinica
Qing Xu, Min Wu, Edwin Khoo, Zhenghua Chen, Xiaoli Li
2023 J jnl
A Span-based Target-aware Relation Model for Frame-semantic Parsing.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Xuefeng Su, Ru Li, Xiaoli Li, Baobao Chang, Zhiwei Hu, Xiaoqi Han, Zhichao Yan
2023 J jnl
A divide and conquer framework for Knowledge Editing.
Knowl. Based Syst.
Xiaoqi Han, Ru Li, Xiaoli Li, Jeff Z. Pan
2023 J jnl
A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks.
Comput. Biol. Medicine
Youlin Zhan, Jiahan Liu, Min Wu, Chris Soon Heng Tan, Xiaoli Li, Le Ou-Yang
2023 J jnl
A strength pareto evolutionary algorithm based on adaptive reference points for solving irregular fronts.
Inf. Sci.
Xin Li, Xiaoli Li, Kang Wang, Shengxiang Yang
2023 J jnl
A universal transfer network for machinery fault diagnosis.
Comput. Ind.
Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, Shaohua Tian, Chee-Keong Kwoh, Xiaoli Li, Xuefeng Chen
2023 J jnl
ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training.
IEEE Trans. Emerg. Top. Comput. Intell.
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan
2023 J jnl
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data.
ACM Trans. Knowl. Discov. Data
Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2023 A* conf
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation.
ICCV
Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li
2023 J jnl
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation.
CoRR
Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li
2023 J jnl
CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning.
Bioinform.
Bing-Xue Du, Yahui Long, Xiaoli Li, Min Wu, Jian-Yu Shi
2023 B conf
COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection.
ICIP
Zhongyao Cheng, Cen Chen, Ziyuan Zhao, Peisheng Qian, Xiaoli Li, XuLei Yang
2023 J jnl
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation.
CoRR
Xiyu Wang, Yuecong Xu, Jianfei Yang, Kezhi Mao, Xiaoli Li, Zhenghua Chen
2023 — conf
Decomposed Prompt Tuning via Low-Rank Reparameterization.
EMNLP (Findings)
Yao Xiao, Lu Xu, Jiaxi Li, Wei Lu, Xiaoli Li
2023 J jnl
Decomposed Prompt Tuning via Low-Rank Reparameterization.
CoRR
Yao Xiao, Lu Xu, Jiaxi Li, Wei Lu, Xiaoli Li
2023 A* conf
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data.
IJCAI
Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
2023 J jnl
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data.
CoRR
Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
2023 A* conf
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks.
ICCV
Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin
2023 J jnl
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks.
CoRR
Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, Xiaoli Li, Weisi Lin
2023 — conf
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation.
EMNLP (Findings)
Nuo Chen, Qiushi Sun, Jianing Wang, Ming Gao, Xiaoli Li, Xiang Li
2023 — conf
From Speculation Detection to Trustworthy Relational Tuples in Information Extraction.
EMNLP (Findings)
Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li
2023 J jnl
Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data.
CoRR
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2023 J jnl
Graph Contextual Contrasting for Multivariate Time Series Classification.
CoRR
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2023 — conf
Hierarchical Enhancement Framework for Aspect-based Argument Mining.
EMNLP (Findings)
Yujie Fu, Yang Li, Suge Wang, Xiaoli Li, Deyu Li, Jian Liao, Jianxing Zheng
2023 J jnl
Hierarchical neural network: Integrate divide-and-conquer and unified approach for argument unit recognition and classification.
Inf. Sci.
Yujie Fu, Suge Wang, Xiaoli Li, Deyu Li, Yang Li, Jian Liao, Jianxing Zheng
2023 A* conf
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.
EMNLP
Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi
2023 J jnl
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.
CoRR
Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi
2023 J jnl
Identifying implicit emotions via hierarchical structure and rhetorical correlation.
Int. J. Mach. Learn. Cybern.
Xin Chen, Suge Wang, Xiaoli Li, Zhen Hai, Yang Li, Deyu Li, Jianghui Cai
2023 J jnl
Label-efficient Time Series Representation Learning: A Review.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2023 J jnl
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.
CoRR
Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong
2023 — conf
MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction.
ACL (1)
Jing Wang, Aixin Sun, Hao Zhang, Xiaoli Li
2023 J jnl
MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction.
CoRR
Jing Wang, Aixin Sun, Hao Zhang, Xiaoli Li
2023 A* conf
Open Information Extraction via Chunks.
EMNLP
Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li
2023 J jnl
Open Information Extraction via Chunks.
CoRR
Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li
2023 J jnl
PASE: An autonomous sequential framework for the state estimation of dynamical systems.
Expert Syst. Appl.
Harikumar Kandath, Md Meftahul Ferdaus, Zhen Wei Ng, Bangjian Zhou, Suresh Sundaram, Xiaoli Li, Senthilnath Jayavelu
2023 J jnl
Reinforced Adaptation Network for Partial Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol.
Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li
2023 J jnl
S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning.
CoRR
Rajdeep Dutta, Qincheng Wang, Ankur Singh, Dhruv Kumarjiguda, Xiaoli Li, Senthilnath Jayavelu
2023 J jnl
SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.
CoRR
Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2023 A* conf
SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation.
AAAI
Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie
2023 J jnl
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan
2023 A* conf
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction.
IJCAI
Ziyuan Zhao, Peisheng Qian, XuLei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li
2023 J jnl
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction.
CoRR
Ziyuan Zhao, Peisheng Qian, XuLei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li
2023 J jnl
Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detection.
CoRR
Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li
2023 J jnl
Slow-Varying Dynamics-Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation.
IEEE Trans. Cybern.
Yan Qin, Chau Yuen, Yimin Shao, Bo Qin, Xiaoli Li
2023 A* conf
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data.
KDD
Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen
2023 J jnl
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data.
CoRR
Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen
2023 J jnl
Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article].
IEEE Comput. Intell. Mag.
Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong
2023 J jnl
Unlimited Knowledge Distillation for Action Recognition in the Dark.
CoRR
Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen
2022 J jnl
A Meta Path Based Method for Entity Set Expansion in Knowledge Graph.
IEEE Trans. Big Data
Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu
2022 J jnl
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges.
CoRR
Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong
2022 J jnl
A multi-objective evolutionary algorithm based on niche selection in solving irregular Pareto fronts.
J. Intell. Fuzzy Syst.
Xin Li, Xiaoli Li, Kang Wang
2022 J jnl
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data.
CoRR
Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022 J jnl
Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction.
IEEE Trans. Instrum. Meas.
Ruibing Jin, Zhenghua Chen, Keyu Wu, Min Wu, Xiaoli Li, Ruqiang Yan
2022 J jnl
CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022 J jnl
Conditional Contrastive Domain Generalization for Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022 J jnl
Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks.
Neurocomputing
Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wang, Min Wu, Xiaoli Li
2022 A* conf
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks.
CVPR
Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li
2022 J jnl
EXTERN: Leveraging Endo-Temporal Regularization for Black-box Video Domain Adaptation.
CoRR
Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2022 A* conf
Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation.
AAAI
Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li
2022 J jnl
Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study.
CoRR
Yuecong Xu, Jianfei Yang, Haozhi Cao, Jianxiong Yin, Zhenghua Chen, Xiaoli Li, Zhengguo Li, Qianwen Xu
2022 J jnl
Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition.
IEEE Trans. Emerg. Top. Comput. Intell.
Xiaoli Li, Huanhuan Chen, Thomas Ploetz, Min Wu, Zhenghua Chen
2022 A* conf
HTKG: Deep Keyphrase Generation with Neural Hierarchical Topic Guidance.
SIGIR
Yuxiang Zhang, Tao Jiang, Tianyu Yang, Xiaoli Li, Suge Wang
2022 — conf
Hyperbolic Deep Keyphrase Generation.
ECML/PKDD (2)
Yuxiang Zhang, Tianyu Yang, Tao Jiang, Xiaoli Li, Suge Wang
2022 J jnl
Incorporate opinion-towards for stance detection.
Knowl. Based Syst.
Yujie Fu, Xiaoli Li, Yang Li, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng
2022 B conf
Iterative Contrastive Learning for Single Image Raindrop Removal.
ICIP
XuLei Yang, Peisheng Qian, Li Wang, Shenghao Zhao, Cen Chen, Xiaoli Li, Zeng Zeng
2022 J jnl
KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction.
IEEE Trans. Ind. Electron.
Qing Xu, Zhenghua Chen, Keyu Wu, Chao Wang, Min Wu, Xiaoli Li
2022 J jnl
Learned Index Benefits: Machine Learning Based Index Performance Estimation.
Proc. VLDB Endow.
Jiachen Shi, Gao Cong, Xiaoli Li
2022 J jnl
Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning.
Neurocomputing
Aye Phyu Phyu Aung, Senthilnath Jayavelu, Xiaoli Li, Bo An
2022 J jnl
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction.
IEEE CAA J. Autom. Sinica
Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen, Xiaoli Li
2022 J jnl
Pre-training graph neural networks for link prediction in biomedical networks.
Bioinform.
Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li
2022 C conf
Rotating Machinery Fault Diagnosis Based on Multi-sensor Information Fusion Using Graph Attention Network.
ICARCV
Chenyang Li, Chee Keong Kwoh, Xiaoli Li, Lingfei Mo, Ruqiang Yan
2022 J jnl
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2022 J jnl
Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022 J jnl
Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization.
IEEE Trans. Veh. Technol.
Wei Cui, Le Zhang, Bing Li, Zhenghua Chen, Min Wu, Xiaoli Li, Jiawen Kang
2022 J jnl
Significance of activation functions in developing an online classifier for semiconductor defect detection.
Knowl. Based Syst.
Md Meftahul Ferdaus, Bangjian Zhou, Ji Wei Yoon, Kain Lu Low, Jieming Pan, Joydeep Ghosh, Min Wu, Xiaoli Li, Aaron Voon-Yew Thean, J. Senthilnath
2022 J jnl
Slow-varying Dynamics Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation.
CoRR
Yan Qin, Chau Yuen, Yimin Shao, Bo Qin, Xiaoli Li
2022 A* conf
Syntactic Multi-view Learning for Open Information Extraction.
EMNLP
Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li
2022 J jnl
Syntactic Multi-view Learning for Open Information Extraction.
CoRR
Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li
2022 A* conf
Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs.
IJCAI
Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan
2022 J jnl
Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs.
CoRR
Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan
2022 J jnl
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey.
CoRR
Yuecong Xu, Haozhi Cao, Zhenghua Chen, Xiaoli Li, Lihua Xie, Jianfei Yang
2021 — conf
A Conditional Splitting Framework for Efficient Constituency Parsing.
ACL/IJCNLP (1)
Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li
2021 J jnl
A Conditional Splitting Framework for Efficient Constituency Parsing.
CoRR
Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li
2021 — conf
A Knowledge-Guided Framework for Frame Identification.
ACL/IJCNLP (1)
Xuefeng Su, Ru Li, Xiaoli Li, Jeff Z. Pan, Hu Zhang, Qinghua Chai, Xiaoqi Han
2021 J jnl
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhenghua Chen, Min Wu, Kaizhou Gao, Jiyan Wu, Jie Ding, Zeng Zeng, Xiaoli Li
2021 J jnl
A many-objective evolutionary algorithm based on vector angle distance scaling.
J. Intell. Fuzzy Syst.
Xin Li, Xiaoli Li, Kang Wang
2021 J jnl
Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2021 J jnl
Adversarial Multiple-Target Domain Adaptation for Fault Classification.
IEEE Trans. Instrum. Meas.
Mohamed Ragab, Zhenghua Chen, Min Wu, Haoliang Li, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li
2021 J jnl
An Attention Based CNN-LSTM Approach for Sleep-Wake Detection With Heterogeneous Sensors.
IEEE J. Biomed. Health Informatics
Zhenghua Chen, Min Wu, Wei Cui, Chengyu Liu, Xiaoli Li
2021 J jnl
Attention-based sequence to sequence model for machine remaining useful life prediction.
Neurocomputing
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li
2021 — ch.
Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks.
Generalization with Deep Learning
Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li
2021 J jnl
Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction.
IEEE Trans. Ind. Informatics
Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan Sheng Foo, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li
2021 J jnl
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks.
CoRR
Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li
2021 A* conf
Deep Reinforcement Learning Boosted Partial Domain Adaptation.
IJCAI
Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li
2021 J jnl
Deep learning for human activity recognition.
Neurocomputing
Xiaoli Li, Peilin Zhao, Min Wu, Zhenghua Chen, Le Zhang
2021 J jnl
Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder.
IEEE Trans. Instrum. Meas.
Jiyan Wu, Min Wu, Zhenghua Chen, Xiaoli Li, Ruqiang Yan
2021 — conf
DocOIE: A Document-level Context-Aware Dataset for OpenIE.
ACL/IJCNLP (Findings)
Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li
2021 J jnl
DocOIE: A Document-level Context-Aware Dataset for OpenIE.
CoRR
Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li
2021 J jnl
Entity set expansion in knowledge graph: a heterogeneous information network perspective.
Frontiers Comput. Sci.
Chuan Shi, Jiayu Ding, Xiaohuan Cao, Linmei Hu, Bin Wu, Xiaoli Li
2021 J jnl
FFConv: Fast Factorized Neural Network Inference on Encrypted Data.
CoRR
Yuxiao Lu, Jie Lin, Chao Jin, Zhe Wang, Khin Mi Mi Aung, Xiaoli Li
2021 — conf
Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization.
EMNLP (1)
Yong Guan, Shaoru Guo, Ru Li, Xiaoli Li, Hongye Tan
2021 J jnl
Frame Semantics guided network for Abstractive Sentence Summarization.
Knowl. Based Syst.
Yong Guan, Shaoru Guo, Ru Li, Xiaoli Li, Hu Zhang
2021 J jnl
Frame-based Multi-level Semantics Representation for text matching.
Knowl. Based Syst.
Shaoru Guo, Yong Guan, Ru Li, Xiaoli Li, Hongye Tan
2021 J jnl
Frame-based Neural Network for Machine Reading Comprehension.
Knowl. Based Syst.
Shaoru Guo, Yong Guan, Hongye Tan, Ru Li, Xiaoli Li
2021 — conf
GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation.
ACL/IJCNLP (Findings)
Hongye Tan, Xiaoyue Wang, Yu Ji, Ru Li, Xiaoli Li, Zhiwei Hu, Yunxiao Zhao, Xiaoqi Han
2021 — book
Generalization with Deep Learning: For Improvement on Sensing Capability
Generalization with Deep Learning
Zhenghua Chen, Min Wu, Xiaoli Li
2021 J jnl
Graph contextualized attention network for predicting synthetic lethality in human cancers.
Bioinform.
Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2021 J jnl
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification.
ACM Trans. Inf. Syst.
Tianchi Yang, Linmei Hu, Chuan Shi, Houye Ji, Xiaoli Li, Liqiang Nie
2021 — conf
Integrating Semantic Scenario and Word Relations for Abstractive Sentence Summarization.
EMNLP (1)
Yong Guan, Shaoru Guo, Ru Li, Xiaoli Li, Hu Zhang
2021 J jnl
Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach.
IEEE Trans. Ind. Electron.
Zhenghua Chen, Min Wu, Rui Zhao, Feri Guretno, Ruqiang Yan, Xiaoli Li
2021 J jnl
Metagraph-Based Learning on Heterogeneous Graphs.
IEEE Trans. Knowl. Data Eng.
Yuan Fang, Wenqing Lin, Vincent W. Zheng, Min Wu, Jiaqi Shi, Kevin Chen-Chuan Chang, Xiaoli Li
2021 J jnl
Multi-View Collaborative Network Embedding.
ACM Trans. Knowl. Discov. Data
Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li
2021 J jnl
Multiple perspective attention based on double BiLSTM for aspect and sentiment pair extract.
Neurocomputing
Yujie Fu, Jian Liao, Yang Li, Suge Wang, Deyu Li, Xiaoli Li
2021 J jnl
Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder.
IEEE J. Biomed. Health Informatics
Zhifeng Hao, Di Wu, Yuan Fang, Min Wu, Ruichu Cai, Xiaoli Li
2021 — conf
RST Parsing from Scratch.
NAACL-HLT
Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li
2021 J jnl
RST Parsing from Scratch.
CoRR
Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li
2021 J jnl
Recent advances in network-based methods for disease gene prediction.
Briefings Bioinform.
Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li
2021 — conf
SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification.
ICDM (Workshops)
Deeksha Aggarwal, J. Senthilnath, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Md Meftahul Ferdaus, Xiaoli Li
2021 J jnl
Self-supervised Autoregressive Domain Adaptation for Time Series Data.
CoRR
Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li
2021 A* conf
Time-Series Representation Learning via Temporal and Contextual Contrasting.
IJCAI
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2021 J jnl
Time-Series Representation Learning via Temporal and Contextual Contrasting.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2021 — conf
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading.
EMBC
Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li
2021 J jnl
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading.
CoRR
Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li
2020 A* conf
A Frame-based Sentence Representation for Machine Reading Comprehension.
ACL
Shaoru Guo, Ru Li, Hongye Tan, Xiaoli Li, Yong Guan, Hongyan Zhao, Yueping Zhang
2020 J jnl
A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks.
Bioinform.
Zi-Chao Zhang, Xiao-Fei Zhang, Min Wu, Le Ou-Yang, Xing-Ming Zhao, Xiaoli Li
2020 J jnl
A neural model for joint event detection and prediction.
Neurocomputing
Linmei Hu, Shuqi Yu, Bin Wu, Chao Shao, Xiaoli Li
2020 — conf
Adversarial Transfer Learning for Machine Remaining Useful Life Prediction.
ICPHM
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2020 J jnl
Aspect-Context Interactive Attention Representation for Aspect-Level Sentiment Classification.
IEEE Access
Zhuojia Wu, Yang Li, Jian Liao, Deyu Li, Xiaoli Li, Suge Wang
2020 J jnl
Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction.
CoRR
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li
2020 J jnl
CFSRE: Context-aware based on frame-semantics for distantly supervised relation extraction.
Knowl. Based Syst.
Hongyan Zhao, Ru Li, Xiaoli Li, Hongye Tan
2020 J jnl
Combine Topic Modeling with Semantic Embedding: Embedding Enhanced Topic Model.
IEEE Trans. Knowl. Data Eng.
Peng Zhang, Suge Wang, Deyu Li, Xiaoli Li, Zhikang Xu
2020 — conf
Deep learning with long short-term memory networks for classification of dementia related travel patterns.
EMBC
Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li
2020 A* conf
Differentiable Window for Dynamic Local Attention.
ACL
Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li
2020 J jnl
Differentiable Window for Dynamic Local Attention.
CoRR
Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li
2020 A* conf
Efficient Constituency Parsing by Pointing.
ACL
Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li
2020 J jnl
Efficient Constituency Parsing by Pointing.
CoRR
Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li
2020 J jnl
Ensembling graph attention networks for human microbe-drug association prediction.
Bioinform.
Yahui Long, Min Wu, Yong Liu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2020 A conf
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems.
WSDM
Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li
2020 B conf
Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension.
COLING
Shaoru Guo, Yong Guan, Ru Li, Xiaoli Li, Hongye Tan
2020 Misc conf
Mahalanobis Distance Based Adversarial Network for Anomaly Detection.
ICASSP
Yubo Hou, Zhenghua Chen, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Raed M. Shubair
2020 J jnl
Modeling Marked Temporal Point Process Using Multi-relation Structure RNN.
Cogn. Comput.
Hongyun Cai, Thanh Tung Nguyen, Yan Li, Vincent W. Zheng, Binbin Chen, Gao Cong, Xiaoli Li
2020 J jnl
Multi-View Collaborative Network Embedding.
CoRR
Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li
2020 — conf
Multi-domain Transfer Learning for Text Classification.
NLPCC (1)
Xuefeng Su, Ru Li, Xiaoli Li
2020 J jnl
PM2.5 Estimation Based on Image Analysis.
KSII Trans. Internet Inf. Syst.
Xiaoli Li, Shan Zhang, Kang Wang
2020 — conf
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks.
BIBM
Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2020 J jnl
Predicting human microbe-drug associations via graph convolutional network with conditional random field.
Bioinform.
Yahui Long, Min Wu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2020 — conf
Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder.
EMNLP (1)
Wenyue Zhang, Xiaoli Li, Yang Li, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng
2020 J jnl
Recent Advances in Network-based Methods for Disease Gene Prediction.
CoRR
Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li
2020 J jnl
SL
IEEE ACM Trans. Comput. Biol. Bioinform.
Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng
2020 B conf
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading.
ICIP
Ziyuan Zhao, Kartik Chopra, Zeng Zeng, Xiaoli Li
2020 J jnl
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading.
CoRR
Ziyuan Zhao, Kartik Chopra, Zeng Zeng, Xiaoli Li
2020 J jnl
Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori.
IEEE Trans. Instrum. Meas.
Zhenghua Chen, Chaoyang Jiang, Shili Xiang, Jie Ding, Min Wu, Xiaoli Li
2020 — conf
WEKE: Learning Word Embeddings for Keyphrase Extraction.
APWeb/WAIM (2)
Yuxiang Zhang, Huan Liu, Bei Shi, Xiaoli Li, Suge Wang
2020 A* conf
We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions.
ICAPS
Aye Phyu Phyu Aung, Xinrun Wang, Bo An, Xiaoli Li
2019 — conf
A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data.
BHI
Zhenghua Chen, Min Wu, Jiyan Wu, Jie Ding, Zeng Zeng, Karl Surmacz, Xiaoli Li
2019 J jnl
Computational prediction of drug-target interactions using chemogenomic approaches: an empirical survey.
Briefings Bioinform.
Ali Ezzat, Min Wu, Xiaoli Li, Chee Keong Kwoh
2019 J jnl
Cooperative Hybrid Semi-Supervised Learning for Text Sentiment Classification.
Symmetry
Yang Li, Ying Lv, Suge Wang, Jiye Liang, Juanzi Li, Xiaoli Li
2019 — conf
Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification.
EMNLP/IJCNLP (1)
Linmei Hu, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li
2019 A* conf
Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation.
SIGIR
Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiaoli Li
2019 — conf
Mobile Robot Routing with Energy Consumption Optimization.
ICRAI
Shudong Liu, Xiaoli Li, Shili Xiang, Min Wu
2018 C conf
A Generalized Predictive Framework for Data Driven Prognostics and Diagnostics using Machine Logs.
TENCON
Shili Xiang, Dong Huang, Xiaoli Li
2018 — conf
A Heterogeneous Information Network Method for Entity Set Expansion in Knowledge Graph.
PAKDD (2)
Xiaohuan Cao, Chuan Shi, Yuyan Zheng, Jiayu Ding, Xiaoli Li, Bin Wu
2018 J jnl
SL
CoRR
Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng
2018 Misc conf
Using PageRank for Characterizing Topic Quality in LDA.
ICTIR
Sujatha Das Gollapalli, Xiaoli Li
2017 J jnl
Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ali Ezzat, Peilin Zhao, Min Wu, Xiaoli Li, Chee Keong Kwoh
2017 — conf
Entity Set Expansion with Meta Path in Knowledge Graph.
PAKDD (1)
Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu
2017 J jnl
FREERL: Fusion relation embedded representation learning framework for aspect extraction.
Knowl. Based Syst.
Jian Liao, Suge Wang, Deyu Li, Xiaoli Li
2017 J jnl
Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare.
IEEE ACM Trans. Comput. Biol. Bioinform.
Fei Wang, Xiaoli Li, Jason T. L. Wang, See-Kiong Ng
2017 A* conf
Incorporating Expert Knowledge into Keyphrase Extraction.
AAAI
Sujatha Das Gollapalli, Xiaoli Li, Peng Yang
2017 A* conf
Learning User Dependencies for Recommendation.
IJCAI
Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li
2017 J jnl
Learning to Align Comments to News Topics.
ACM Trans. Inf. Syst.
Lei Hou, Juanzi Li, Xiaoli Li, Jie Tang, Xiaofei Guo
2017 J jnl
Low-rank decomposition meets kernel learning: A generalized Nyström method.
Artif. Intell.
Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha
2017 A conf
MIKE: Keyphrase Extraction by Integrating Multidimensional Information.
CIKM
Yuxiang Zhang, Yaocheng Chang, Xiaoqing Liu, Sujatha Das Gollapalli, Xiaoli Li, Chunjing Xiao
2017 C conf
Mobile Robot Scheduling with Multiple Trips and Time Windows.
ADMA
Shudong Liu, Huayu Wu, Shili Xiang, Xiaoli Li
2017 A* conf
Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization.
IJCAI
Yangtao Wang, Lihui Chen, Xiaoli Li
2017 J jnl
Network Motif Discovery: A GPU Approach.
IEEE Trans. Knowl. Data Eng.
Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li
2017 C conf
People-Centric Mobile Crowdsensing Platform for Urban Design.
ADMA
Shili Xiang, Lu Li, Si Min Lo, Xiaoli Li
2017 J jnl
Protein Complex Detection via Effective Integration of Base Clustering Solutions and Co-Complex Affinity Scores.
IEEE ACM Trans. Comput. Biol. Bioinform.
Min Wu, Le Ou-Yang, Xiaoli Li
2017 J jnl
Pruning Convolutional Neural Networks for Image Instance Retrieval.
CoRR
Gaurav Manek, Jie Lin, Vijay Chandrasekhar, Lingyu Duan, Sateesh Giduthuri, Xiaoli Li, Tomaso A. Poggio
2017 A* conf
What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM.
AAAI
Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao
2016 J jnl
A two-layer integration framework for protein complex detection.
BMC Bioinform.
Le Ou-Yang, Min Wu, Xiao-Fei Zhang, Dao-Qing Dai, Xiaoli Li, Hong Yan
2016 A* conf
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data.
EMNLP
Zhen Hai, Peilin Zhao, Peng Cheng, Peng Yang, Xiaoli Li, Guangxia Li
2016 — conf
Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life.
DASFAA (1)
Giduthuri Sateesh Babu, Peilin Zhao, Xiaoli Li
2016 — conf
Detecting Public Influence on News Using Topic-Aware Dynamic Granger Test.
ECML/PKDD (2)
Lei Hou, Juan-Zi Li, Xiaoli Li, Jianbin Jin
2016 — conf
Domain-Specific Entity Linking via Fake Named Entity Detection.
DASFAA (1)
Jiangtao Zhang, Juanzi Li, Xiaoli Li, Yao Shi, Junpeng Li, Zhigang Wang
2016 J jnl
Drug-target interaction prediction via class imbalance-aware ensemble learning.
BMC Bioinform.
Ali Ezzat, Min Wu, Xiaoli Li, Chee Keong Kwoh
2016 A conf
Efficient Multi-Class Selective Sampling on Graphs.
UAI
Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu, Steven C. H. Hoi, Xiaoli Li
2016 A* conf
Exploring the Context of Locations for Personalized Location Recommendations.
IJCAI
Xin Liu, Yong Liu, Xiaoli Li
2016 J jnl
Incremental Minimax Optimization based Fuzzy Clustering for Large Multi-view Data.
CoRR
Yangtao Wang, Lihui Chen, Xiaoli Li
2016 J jnl
Keyphrase Extraction using Sequential Labeling.
CoRR
Sujatha Das Gollapalli, Xiaoli Li
2016 A conf
Learning Correlative and Personalized Structure for Online Multi-Task Classification.
SDM
Peng Yang, Guangxia Li, Peilin Zhao, Xiaoli Li, Sujatha Das Gollapalli
2016 J jnl
Learning Optimal Social Dependency for Recommendation.
CoRR
Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Xiaoli Li
2016 A* conf
Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization.
ICML
Zhiqiang Xu, Peilin Zhao, Jianneng Cao, Xiaoli Li
2016 B conf
Meta-cognitive Regression Neural Network for function approximation: Application to Remaining Useful Life estimation.
IJCNN
G. Sateesh Babu, Xiaoli Li, Suresh Sundaram
2016 J jnl
Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction.
PLoS Comput. Biol.
Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao, Xiaoli Li
2016 A conf
On finding the maximum edge biclique in a bipartite graph: a subspace clustering approach.
SDM
Eran Shaham, Honghai Yu, Xiaoli Li
2016 A* conf
Semantic proximity search on graphs with metagraph-based learning.
ICDE
Yuan Fang, Wenqing Lin, Vincent Wenchen Zheng, Min Wu, Kevin Chen-Chuan Chang, Xiaoli Li
2016 — conf
Social Identity Link Across Incomplete Social Information Sources Using Anchor Link Expansion.
PAKDD (1)
Yuxiang Zhang, Lulu Wang, Xiaoli Li, Chunjing Xiao
2016 J jnl
Variable-Length Hashing.
CoRR
Honghai Yu, Pierre Moulin, Hong Wei Ng, Xiaoli Li
2015 — conf
A Synthetic Minority Oversampling Method Based on Local Densities in Low-Dimensional Space for Imbalanced Learning.
DASFAA (2)
Zhipeng Xie, Liyang Jiang, Tengju Ye, Xiaoli Li
2015 — conf
Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy.
PAKDD (2)
Dong Huang, Shuguo Han, Xiaoli Li
2015 A* conf
An Aggressive Graph-Based Selective Sampling Algorithm for Classification.
ICDM
Peng Yang, Peilin Zhao, Vincent W. Zheng, Xiaoli Li
2015 — conf
Analysis of the noise robustness problem and a new blind channel identification algorithm.
DSP
Lei Liao, Xiaoli Li, Andy W. H. Khong, Xin Liu
2015 B conf
Behaviors and Profit Based Sales Campaign Design.
ICTAI
Shukai Li, Xiaoli Li, Whye Loon Tung, Kelvin Sim
2015 A* conf
CDR-To-MoVis: Developing a Mobility Visualization System from CDR data.
ICDE
Manoranjan Dash, Kee Kiat Koo, James Decraene, Ghim-Eng Yap, Wei Wu, João Bártolo Gomes, Amy Shi Nash, Xiaoli Li
2015 J jnl
Classification and its application to drug-target interaction prediction.
CoRR
Jian-Ping Mei, Chee Keong Kwoh, Peng Yang, Xiaoli Li
2015 A* conf
Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications.
ICDM
Peilin Zhao, Furen Zhuang, Min Wu, Xiaoli Li, Steven C. H. Hoi
2015 A* conf
Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition.
IJCAI
Jianbo Yang, Minh Nhut Nguyen, Phyo Phyo San, Xiaoli Li, Shonali Krishnaswamy
2015 A* conf
EMNLP versus ACL: Analyzing NLP research over time.
EMNLP
Sujatha Das Gollapalli, Xiaoli Li
2015 C conf
Human activity classification in people centric sensing exploiting sparseness measurement.
ICICS
Lei Liao, Fei Xue, Miao Lin, Xiaoli Li, Shonali Priyadarsini Krishnaswamy
2015 J jnl
Introduction to the CSBio2014 special issue.
J. Bioinform. Comput. Biol.
Xiaoli Li, Jie Zheng
2015 — conf
Learning Topic Hierarchies for Wikipedia Categories.
ACL (2)
Linmei Hu, Xuzhong Wang, Mengdi Zhang, Juan-Zi Li, Xiaoli Li, Chao Shao, Jie Tang, Yongbin Liu
2015 — conf
Measuring the Influence from User-Generated Content to News via Cross-dependence Topic Modeling.
DASFAA (1)
Lei Hou, Juanzi Li, Xiaoli Li, Yu Su
2015 A* conf
Network motif discovery: A GPU approach.
ICDE
Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li
2015 B conf
Orthogonal mechanism for answering batch queries with differential privacy.
SSDBM
Dong Huang, Shuguo Han, Xiaoli Li, Philip S. Yu
2015 J jnl
Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates.
J. Bioinform. Comput. Biol.
Fan Zhang, Min Wu, Xuejuan Li, Xiaoli Li, Chee Keong Kwoh, Jie Zheng
2015 A* conf
Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation.
SIGIR
Xutao Li, Gao Cong, Xiaoli Li, Tuan-Anh Nguyen Pham, Shonali Krishnaswamy
2015 B conf
Stochastic least squares learning for deep architectures.
IJCNN
Girish Kumar, Jian Min Sim, Eng Yeow Cheu, Xiaoli Li
2015 A* conf
TSDPMM: Incorporating Prior Topic Knowledge into Dirichlet Process Mixture Models for Text Clustering.
EMNLP
Linmei Hu, Juanzi Li, Xiaoli Li, Chao Shao, Xuzhong Wang
2015 — ed.
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015. Revised Selected Papers
PAKDD Workshops
Xiaoli Li, Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda
2015 A conf
Where you Instagram?: Associating Your Instagram Photos with Points of Interest.
CIKM
Xutao Li, Tuan-Anh Nguyen Pham, Gao Cong, Quan Yuan, Xiaoli Li, Shonali Krishnaswamy
2014 — conf
Activity Recognition Using a Few Label Samples.
PAKDD (1)
Heidar Davoudi, Xiaoli Li, Minh Nhut Nguyen, Shonali Priyadarsini Krishnaswamy
2014 — conf
An Interactive Analytics Tool for Understanding Location Semantics and Mobility of Users Using Mobile Network Data.
MDM (1)
Manoranjan Dash, Gim Guan Chua, Hai-Long Nguyen, Ghim-Eng Yap, Hong Cao, Xiaoli Li, Shonali Priyadarsini Krishnaswamy, James Decraene, Amy Shi Nash
2014 A conf
Class Augmented Active Learning.
SDM
Hong Cao, Chunyu Bao, Xiaoli Li, David Yew-Kwong Woon
2014 J jnl
Detecting temporal protein complexes from dynamic protein-protein interaction networks.
BMC Bioinform.
Le Ou-Yang, Dao-Qing Dai, Xiaoli Li, Min Wu, Xiao-Fei Zhang, Peng Yang
2014 — conf
Document Analysis and Retrieval Tasks in Scientific Digital Libraries.
RuSSIR
Sujatha Das Gollapalli, Cornelia Caragea, Xiaoli Li, C. Lee Giles
2014 J jnl
Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast.
BMC Syst. Biol.
Min Wu, Chee Keong Kwoh, Xiaoli Li, Jie Zheng
2014 — conf
Home and Work Place Prediction for Urban Planning Using Mobile Network Data.
MDM (2)
Manoranjan Dash, Hai-Long Nguyen, Hong Cao, Ghim-Eng Yap, Minh Nhut Nguyen, Xiaoli Li, Shonali Priyadarsini Krishnaswamy, James Decraene, Spiros Antonatos, Yue Wang, Dang The Anh, Amy Shi Nash
2014 B conf
Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data.
ICPR
Vijay Chandrasekhar, Cheston Tan, Wu Min, Liyuan Li, Xiaoli Li, Joo-Hwee Lim
2014 J jnl
Microbial community pattern detection in human body habitats via ensemble clustering framework.
BMC Syst. Biol.
Peng Yang, Xiaoquan Su, Le Ou-Yang, Hon Nian Chua, Xiaoli Li, Kang Ning
2014 J jnl
Microbial community pattern detection in human body habitats via ensemble clustering framework.
CoRR
Peng Yang, Xiaoquan Su, Le Ou-Yang, Hon Nian Chua, Xiaoli Li, Kang Ning
2014 — conf
Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling.
MDM (1)
Wei Wu, Yue Wang, João Bártolo Gomes, Dang The Anh, Spiros Antonatos, Mingqiang Xue, Peng Yang, Ghim-Eng Yap, Xiaoli Li, Shonali Krishnaswamy, James Decraene, Amy Shi Nash
2014 — ch.
Rule-Based Classification.
Data Classification: Algorithms and Applications
Xiaoli Li, Bing Liu
2013 J jnl
Drug-target interaction prediction by learning from local information and neighbors.
Bioinform.
Jian-Ping Mei, Chee Keong Kwoh, Peng Yang, Xiaoli Li, Jie Zheng
2013 J jnl
Integrated Oversampling for Imbalanced Time Series Classification.
IEEE Trans. Knowl. Data Eng.
Hong Cao, Xiaoli Li, David Yew-Kwong Woon, See-Kiong Ng
2013 — conf
Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer.
BCB
Min Wu, Xuejuan Li, Fan Zhang, Xiaoli Li, Chee Keong Kwoh, Jie Zheng
2013 J jnl
Multi-Resolution-Test for Consistent phenotype Discrimination and biomarker Discovery in Translational Bioinformatics.
J. Bioinform. Comput. Biol.
Henry Han, Xiaoli Li, See-Kiong Ng, Zhou Ji
2013 A* conf
What Users Care About: A Framework for Social Content Alignment.
IJCAI
Lei Hou, Juanzi Li, Xiaoli Li, Jiangfeng Qu, Xiaofei Guo, Ou Hui, Jie Tang
2012 — conf
An NER-based Product Identification and Lucene-based Product Linking Approach to CPROD1 Challenge: Description of Submission System to CPROD1 Challenge.
ICDM Workshops
Zhiqiang Toh, Wenting Wang, Man Lan, Xiaoli Li
2012 Misc conf
An integrated framework for human activity classification.
UbiComp
Hong Cao, Minh Nhut Nguyen, Clifton Phua, Shonali Krishnaswamy, Xiaoli Li
2012 Misc conf
An integrated framework for human activity recognition.
UbiComp
Hong Cao, Minh Nhut Nguyen, Clifton Phua, Shonali Krishnaswamy, Xiaoli Li
2012 J jnl
Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data.
J. Comput. Biol.
Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng, Limsoon Wong
2012 — conf
Effective Next-Items Recommendation via Personalized Sequential Pattern Mining.
DASFAA (2)
Ghim-Eng Yap, Xiaoli Li, Philip S. Yu
2012 — conf
Ensemble Based Positive Unlabeled Learning for Time Series Classification.
DASFAA (1)
Minh Nhut Nguyen, Xiaoli Li, See-Kiong Ng
2012 J jnl
Ensemble Based Real-Time Adaptive Classification System for Intelligent Sensing Machine Diagnostics.
IEEE Trans. Reliab.
Minh Nhut Nguyen, Chunyu Bao, Kar Leong Tew, Sintiani Dewi Teddy, Xiaoli Li
2012 — conf
Globalized bipartite local model for drug-target interaction prediction.
BIOKDD
Jian-Ping Mei, Chee Keong Kwoh, Peng Yang, Xiaoli Li, Jie Zheng
2012 — conf
NetPipe: a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots.
BCB
Min Wu, Chee Keong Kwoh, Jie Zheng, Xiaoli Li
2012 J jnl
Positive-unlabeled learning for disease gene identification.
Bioinform.
Peng Yang, Xiaoli Li, Jian-Ping Mei, Chee Keong Kwoh, See-Kiong Ng
2012 Misc conf
Real-time adaptive classification system for intelligent sensing in manufacturing environment A feasibility study.
GrC
Kar Leong Tew, Minh Nhut Nguyen, Sintiani Dewi Teddy, Xiaoli Li
2011 J jnl
Construction of co-complex score matrix for protein complex prediction from AP-MS data.
Bioinform.
Zhipeng Xie, Chee Keong Kwoh, Xiaoli Li, Min Wu
2011 — conf
ECODE: Event-Based Community Detection from Social Networks.
DASFAA (1)
Xiaoli Li, Aloysius Tan, Philip S. Yu, See-Kiong Ng
2011 A* conf
Integrating Community Question and Answer Archives.
AAAI
Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, Guohui Li
2011 J jnl
Multi-resolution independent component analysis for high-performance tumor classification and biomarker discovery.
BMC Bioinform.
Henry Han, Xiaoli Li
2011 A* conf
Positive Unlabeled Leaning for Time Series Classification.
IJCAI
Minh Nhut Nguyen, Xiaoli Li, See-Kiong Ng
2011 A* conf
SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification.
ICDM
Hong Cao, Xiaoli Li, David Yew-Kwong Woon, See-Kiong Ng
2010 — conf
A possible mutation that enables H1N1 influenza a virus to escape antibody recognition.
BIBM
Chinh T. T. Su, Stephanus Daniel Handoko, Chee Keong Kwoh, Christian Schönbach, Xiaoli Li
2010 — conf
Distributional Similarity vs. PU Learning for Entity Set Expansion.
ACL (2)
Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng
2010 J jnl
Integrating diverse biological and computational sources for reliable protein-protein interactions.
BMC Bioinform.
Min Wu, Xiaoli Li, Hon Nian Chua, Chee Keong Kwoh, See-Kiong Ng
2010 A* conf
Negative Training Data Can be Harmful to Text Classification.
EMNLP
Xiaoli Li, Bing Liu, See-Kiong Ng
2009 J jnl
A core-attachment based method to detect protein complexes in PPI networks.
BMC Bioinform.
Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng
2009 A conf
Positive Unlabeled Learning for Data Stream Classification.
SDM
Xiaoli Li, Philip S. Yu, Bing Liu, See-Kiong Ng
2009 — ch.
Positive Unlabelled Learning for Document Classification.
Encyclopedia of Data Warehousing and Mining
Xiaoli Li
2009 B conf
Searching for Rising Stars in Bibliography Networks.
DASFAA
Xiaoli Li, Chuan Sheng Foo, Kar Leong Tew, See-Kiong Ng
2008 — conf
A Unified Scoring Scheme for Detecting Essential Proteins in Protein Interaction Networks.
ICTAI (2)
Hon Nian Chua, Kar Leong Tew, Xiaoli Li, See-Kiong Ng
2008 J jnl
Inferring Transcription Factor interactions using a novel HV-SVM classifier.
Int. J. Comput. Biol. Drug Des.
Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, See-Kiong Ng
2007 C conf
An HV-SVM Classifier to Infer TF-TF Interactions Using Protein Domains and GO Annotations.
BIBE
Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, See-Kiong Ng
2007 — conf
Learning to Classify Documents with Only a Small Positive Training Set.
ECML
Xiaoli Li, Bing Liu, See-Kiong Ng
2007 A* conf
Learning to Identify Unexpected Instances in the Test Set.
IJCAI
Xiaoli Li, Bing Liu, See-Kiong Ng
2007 — conf
The Analysis of Bullwhip Effect in Supply Chain Based on Strategic Alliance.
I3E (1)
Rui Xu, Xiaoli Li, Xiaomin Song, Gang Liu
2006 J jnl
Improving domain-based protein interaction prediction using biologically-significant negative dataset.
Int. J. Data Min. Bioinform.
Xiaoli Li, Soon-Heng Tan, See-Kiong Ng
2006 — conf
Systematic Gene Function Prediction Using a Fuzzy Nearest-Cluster Method on Gene Expression Data.
IMSCCS (1)
Xiaoli Li, Cheston Yin Chet Tan, See-Kiong Ng
2006 J jnl
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method.
BMC Bioinform.
Xiaoli Li, Cheston Yin Chet Tan, See-Kiong Ng
2005 — conf
Learning from Positive and Unlabeled Examples with Different Data Distributions.
ECML
Xiaoli Li, Bing Liu
2005 — conf
Protein Interaction Prediction Using Inferred Domain Interactions and Biologically-Significant Negative Dataset.
ICCSA (3)
Xiaoli Li, Soon-Heng Tan, See-Kiong Ng
2004 A* conf
Classifying Biomedical Citations without Labeled Training Examples.
ICDM
Xiaoli Li, Rohit Joshi, Sreeram Ramachandaran, Tze-Yun Leong
2004 — conf
Dealing with different distributions in learning from.
WWW (Alternate Track Papers & Posters)
Xiaoli Li, Bing Liu
2004 A* conf
Text Classification by Labeling Words.
AAAI
Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu
2003 A* conf
Building Text Classifiers Using Positive and Unlabeled Examples.
ICDM
Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu
2003 A* conf
Eliminating noisy information in Web pages for data mining.
KDD
Lan Yi, Bing Liu, Xiaoli Li
2003 A* conf
Learning to Classify Texts Using Positive and Unlabeled Data.
IJCAI
Xiaoli Li, Bing Liu
2002 A* conf
A refinement approach to handling model misfit in text categorization.
KDD
Haoran Wu, Tong-Heng Phang, Bing Liu, Xiaoli Li
2002 J jnl
Innovating Web Page Classification Through Reducing Noise.
J. Comput. Sci. Technol.
Xiaoli Li, Zhongzhi Shi
2002 A* conf
Partially Supervised Classification of Text Documents.
ICML
Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li
2002 A conf
Using micro information units for internet search.
CIKM
Xiaoli Li, Tong-Heng Phang, Minqing Hu, Bing Liu
2000 B conf
A Document Classifier Based on Word Semantic Association.
PRICAI
Xiaoli Li, Jimin Liu, Zhongzhi Shi