Ximing Li - RankMe

147 papers A* 39A 14B 3Journal 85Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CORIMP: A correlation-driven imputation approach for offline reinforcement learning with incomplete action data. Expert Syst. Appl. Yulin Shao, Yuanbo Xu, Ximing Li
2026	J	`jnl`	Correlation Matters in Deep Clustering: Transforming Clustering Into Self-Supervised Multi-Label Learning. IEEE Trans. Big Data Jihong Ouyang, Qingyi Meng, Ximing Li, Zhengjie Zhang, Bo Fu, Wenting Wang
2026	A*	`conf`	Denoising Mixup for Regression. AAAI Zhengzhang Hou, Zhanshan Li, Yanbo Liu, Geoff Nitschke, You Lu, Ximing Li
2026	J	`jnl`	Detecting Misinformation by Uncovering Commonsense Conflicts With LLM Workflows. IEEE Trans. Knowl. Data Eng. Bing Wang, Ximing Li, Changchun Li, Bingrui Zhao, Renchu Guan, Lin Yuanbo Wu, Jungong Han
2026	J	`jnl`	Disentangled Representation Learning via Flow Matching. CoRR Jinjin Chi, Taoping Liu, Mengtao Yin, Ximing Li, Yongcheng Jing, Dacheng Tao
2026	J	`jnl`	Domain adaptive mixture-of-experts for cross-domain fake news detection. Knowl. Based Syst. Zeqi Guo, Jihong Ouyang, Ximing Li, Changchun Li
2026	A*	`conf`	Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective. AAAI Bing Wang, Ximing Li, Yanjun Wang, Changchun Li, Lin Yuanbo Wu, Buyu Wang, Shengsheng Wang
2026	J	`jnl`	Enhancing model-based diagnosis with multiple pseudo-normal observations by Key nodes and IterativeDFS. Frontiers Comput. Sci. Ran Tai, Dantong Ouyang, Ximing Li, Huisi Zhou, Liming Zhang
2026	J	`jnl`	Federated Learning-Based Distributed Data Completion in Sparse Mobile CrowdSensing. IEEE Trans. Mob. Comput. En Wang, Baoju Li, Wenbin Liu, Zengyi Han, Cong Wang, Ximing Li, Jie Wu
2026	J	`jnl`	Generalizing Dynamics Modeling More Easily from Representation Perspective. CoRR Yiming Wang, Zhengnan Zhang, Genghe Zhang, Jiawen Dan, Changchun Li, Chenlong Hu, Chris Nugent, Jun Liu, Ximing Li, Bo Yang
2026	J	`jnl`	Harmful Visual Content Manipulation Matters in Misinformation Detection Under Multimedia Scenarios. CoRR Bing Wang, Ximing Li, Changchun Li, Jinjin Chi, Tianze Li, Renchu Guan, Sheng-Sheng Wang
2026	J	`jnl`	Learning from Label Proportions with Dual-proportion Constraints. CoRR Tianhao Ma, Ximing Li, Changchun Li, Renchu Guan
2026	A*	`conf`	SPARD: Single-step Inference with Adaptive Sampling in Residual Diffusion for Human Motion Prediction. AAAI Yiming Zhang, Baojia Han, Ximing Li, Wei Pang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
2026	J	`jnl`	Semi-Supervised Learning with Balanced Deep Representation Distributions. CoRR Changchun Li, Ximing Li, Bingjie Zhang, Wenting Wang, Jihong Ouyang
2026	A*	`conf`	Semi-Supervised Regression by Preserving Ranking Relationships Between Close Unlabeled Samples. AAAI Ximing Li, Jiaxuan Jiang, Changchun Li, You Lu, Renchu Guan
2026	A*	`conf`	Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification. WWW Mengyu Li, Yonghao Liu, Fausto Giunchiglia, Ximing Li, Xiaoyue Feng, Renchu Guan
2026	A*	`conf`	Towards Practical LLM Unlearning: Efficient, Modular, and Retain-Free. WWW Peng Liu, Peng-Fei Zhang, Jianfeng Qu, Ximing Li, Zhixu Li, Pengpeng Zhao
2025	A*	`conf`	A Simple Graph Contrastive Learning Framework for Short Text Classification. AAAI Yonghao Liu, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan
2025	J	`jnl`	A Simple Graph Contrastive Learning Framework for Short Text Classification. CoRR Yonghao Liu, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan
2025	J	`jnl`	Anomaly-aware symmetric non-negative matrix factorization for short text clustering. Knowl. Inf. Syst. Ximing Li, Yuanyuan Guan, Bo Fu, Zhongxuan Luo
2025	J	`jnl`	Closed loop networks for open-set semi-supervised learning. Inf. Sci. Jihong Ouyang, Qingyi Meng, Ximing Li, Zhengjie Zhang, Changchun Li, Wenting Wang
2025	J	`jnl`	Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator. CoRR Bing Wang, Bingrui Zhao, Ximing Li, Changchun Li, Wanfu Gao, Sheng-Sheng Wang
2025	A*	`conf`	Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification. ICML Yuanchao Dai, Ximing Li, Changchun Li
2025	A*	`conf`	Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks. WWW Yonghao Liu, Mengyu Li, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan
2025	J	`jnl`	Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks. CoRR Yonghao Liu, Mengyu Li, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan
2025	J	`jnl`	Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective. CoRR Bing Wang, Ximing Li, Yanjun Wang, Changchun Li, Lin Yuanbo Wu, Buyu Wang, Shengsheng Wang
2025	—	`conf`	Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport. KDD (1) Yonghao Liu, Fausto Giunchiglia, Ximing Li, Lan Huang, Xiaoyue Feng, Renchu Guan
2025	J	`jnl`	Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport. CoRR Yonghao Liu, Fausto Giunchiglia, Ximing Li, Lan Huang, Xiaoyue Feng, Renchu Guan
2025	A*	`conf`	Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions. CVPR Tianhao Ma, Han Chen, Juncheng Hu, Yungang Zhu, Ximing Li
2025	J	`jnl`	Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration. CoRR Yonghao Liu, Yajun Wang, Chunli Guo, Wei Pang, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
2025	J	`jnl`	Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs. CoRR Renchu Guan, Xuyang Li, Yachao Zhang, Wei Pang, Fausto Giunchiglia, Ximing Li, Yonghao Liu, Xiaoyue Feng
2025	J	`jnl`	Learning multi-scale features automatically from food and ingredients. Multim. Syst. Ruoxuan Zhang, Dantong Ouyang, Ximing Li, Hongtao Bai, Chenming Zhang, Lili He
2025	A*	`conf`	Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors. ACM Multimedia Bing Wang, Ximing Li, Mengzhe Ye, Changchun Li, Bo Fu, Jianfeng Qu, Lin Yuanbo Wu
2025	J	`jnl`	Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors. CoRR Bing Wang, Ximing Li, Mengzhe Ye, Changchun Li, Bo Fu, Jianfeng Qu, Lin Yuanbo Wu
2025	A*	`conf`	Robust Misinformation Detection by Visiting Potential Commonsense Conflict. IJCAI Bing Wang, Ximing Li, Changchun Li, Bingrui Zhao, Bo Fu, Renchu Guan, Shengsheng Wang
2025	J	`jnl`	Robust Misinformation Detection by Visiting Potential Commonsense Conflict. CoRR Bing Wang, Ximing Li, Changchun Li, Bingrui Zhao, Bo Fu, Renchu Guan, Sheng-Sheng Wang
2025	J	`jnl`	Task-oriented Multi-domain Adversarial Network for fake news detection. Appl. Soft Comput. Zeqi Guo, Jihong Ouyang, Ximing Li, Changchun Li
2025	J	`jnl`	Unleashing Hierarchical Reasoning: An LLM-Driven Framework for Training-Free Referring Video Object Segmentation. CoRR Bingrui Zhao, Lin Yuanbo Wu, Xiangtian Fan, Deyin Liu, Lu Zhang, Ruyi He, Jialie Shen, Ximing Li
2025	A*	`conf`	Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision. AAAI Ximing Li, Yuanchao Dai, Zhiyao Yang, Jinjin Chi, Wanfu Gao, Lin Yuanbo Wu
2025	A	`conf`	Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations. CIKM Bing Wang, Ximing Li, Yiming Wang, Changchun Li, Jiaxu Cui, Renchu Guan, Bo Yang
2025	J	`jnl`	Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations. CoRR Bing Wang, Ximing Li, Yiming Wang, Changchun Li, Jiaxu Cui, Renchu Guan, Bo Yang
2025	A	`conf`	Weakly Supervised Fine-grained Span-Level Framework for Chinese Radiology Report Quality Assurance. CIKM Kaiyu Wang, Lin Mu, Zhiyao Yang, Ximing Li, Xiaotang Zhou, Wanfu Gao, Huimao Zhang
2024	A*	`conf`	A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification. WWW Yonghao Liu, Lan Huang, Bowen Cao, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
2024	J	`jnl`	Adaptive prototype and consistency alignment for semi-supervised domain adaptation. Multim. Tools Appl. Jihong Ouyang, Zhengjie Zhang, Qingyi Meng, Ximing Li, Dang Ngoc Hoang Thanh
2024	A*	`conf`	Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations. AAAI Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li
2024	J	`jnl`	Consensus representation-driven structured graph learning for multi-view clustering. Appl. Intell. Zhibin Gu, Songhe Feng, Jiazheng Yuan, Ximing Li
2024	J	`jnl`	Eliminating Negative Word Similarities for Measuring Document Distances: A Thoroughly Empirical Study on Word Mover's Distance. IEEE Trans. Neural Networks Learn. Syst. Bo Cheng, Ximing Li, Yi Chang
2024	J	`jnl`	Escaping the neutralization effect of modality features fusion in multimodal Fake News Detection. Inf. Fusion Bing Wang, Ximing Li, Changchun Li, Shengsheng Wang, Wanfu Gao
2024	J	`jnl`	Exploiting multi-level consistency learning for source-free domain adaptation. Multim. Syst. Jihong Ouyang, Zhengjie Zhang, Qingyi Meng, Ximing Li, Jinjin Chi
2024	J	`jnl`	Graph-based Text Classification by Contrastive Learning with Text-level Graph Augmentation. ACM Trans. Knowl. Discov. Data Ximing Li, Bing Wang, Yang Wang, Meng Wang
2024	A*	`conf`	Harmfully Manipulated Images Matter in Multimodal Misinformation Detection. ACM Multimedia Bing Wang, Shengsheng Wang, Changchun Li, Renchu Guan, Ximing Li
2024	J	`jnl`	Harmfully Manipulated Images Matter in Multimodal Misinformation Detection. CoRR Bing Wang, Sheng-Sheng Wang, Changchun Li, Renchu Guan, Ximing Li
2024	A*	`conf`	Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning. AAAI Jiaan Wang, Jianfeng Qu, Kexin Wang, Zhixu Li, Wen Hua, Ximing Li, An Liu
2024	J	`jnl`	Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning. CoRR Jiaan Wang, Jianfeng Qu, Kexin Wang, Zhixu Li, Wen Hua, Ximing Li, An Liu
2024	J	`jnl`	Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training. CoRR Yonghao Liu, Mengyu Li, Ximing Li, Lan Huang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng, Renchu Guan
2024	J	`jnl`	Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training. ACM Trans. Knowl. Discov. Data Yonghao Liu, Mengyu Li, Ximing Li, Lan Huang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng, Renchu Guan
2024	—	`conf`	Negative Samples Selection Can Improve Graph Contrastive Learning in Collaborative Filtering. ICIC (13) Yifan Shao, Xu Cai, Fangming Gu, Ximing Li
2024	A*	`conf`	Nukplex: An Efficient Local Search Algorithm for Maximum K-Plex Problem. IJCAI Rui Sun, Yiyuan Wang, Shimao Wang, Hui Li, Ximing Li, Minghao Yin
2024	A*	`conf`	Positive and Unlabeled Learning with Controlled Probability Boundary Fence. ICML Changchun Li, Yuanchao Dai, Lei Feng, Ximing Li, Bing Wang, Jihong Ouyang
2024	A*	`conf`	Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference. IJCAI Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan
2024	J	`jnl`	Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference. CoRR Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan
2024	A*	`conf`	Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss. NeurIPS Ximing Li, Silong Liang, Changchun Li, Pengfei Wang, Fangming Gu
2024	J	`jnl`	Uncertainty-Aware Sparse Transformer Network for Single-Image Deraindrop. IEEE Trans. Instrum. Meas. Bo Fu, Yunyun Jiang, Di Wang, Jiaxin Gao, Cong Wang, Ximing Li
2024	J	`jnl`	Unsupervised Sentence Representation Learning with Frequency-induced Adversarial tuning and Incomplete sentence filtering. Neural Networks Bing Wang, Ximing Li, Zhiyao Yang, Yuanyuan Guan, Jiayin Li, Sheng-Sheng Wang
2024	A*	`conf`	WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives. IJCAI Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang
2024	A	`conf`	Why Misinformation is Created? Detecting them by Integrating Intent Features. CIKM Bing Wang, Ximing Li, Changchun Li, Bo Fu, Songwen Pei, Shengsheng Wang
2024	J	`jnl`	Why Misinformation is Created? Detecting them by Integrating Intent Features. CoRR Bing Wang, Ximing Li, Changchun Li, Bo Fu, Songwen Pei, Shengsheng Wang
2023	J	`jnl`	Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations. CoRR Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li
2023	J	`jnl`	BO-Aug: learning data augmentation policies via Bayesian optimization. Appl. Intell. Chunxu Zhang, Ximing Li, Zijian Zhang, Jiaxu Cui, Bo Yang
2023	J	`jnl`	LaenNet: Learning robust GCNs by propagating labels. Neural Networks Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang
2023	A*	`conf`	Learning with Partial Labels from Semi-supervised Perspective. AAAI Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang
2023	J	`jnl`	Learning with partial multi-labeled data by leveraging low-rank constraint and decomposition. Appl. Intell. Ying Wang, Yuanyuan Guan, Bing Wang, Ximing Li
2023	A*	`conf`	Local and Global: Temporal Question Answering via Information Fusion. IJCAI Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li, Sirui Wang, Wei Wu, Lan Huang, Xiaoyue Feng, Renchu Guan
2023	J	`jnl`	S3map: Semisupervised aspect-based sentiment analysis with masked aspect prediction. Knowl. Based Syst. Zhiyao Yang, Bing Wang, Ximing Li, Wenting Wang, Jihong Ouyang
2023	A	`conf`	Unsupervised Aspect Term Extraction by Integrating Sentence-level Curriculum Learning with Token-level Self-paced Learning. CIKM Jihong Ouyang, Zhiyao Yang, Chang Xuan, Bing Wang, Yiyuan Wang, Ximing Li
2023	J	`jnl`	Unsupervised Sentence Representation Learning with Frequency-induced Adversarial Tuning and Incomplete Sentence Filtering. CoRR Bing Wang, Ximing Li, Zhiyao Yang, Yuanyuan Guan, Jiayin Li, Shengsheng Wang
2023	A*	`conf`	Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization. AAAI Jinjin Chi, Zhiyao Yang, Ximing Li, Jihong Ouyang, Renchu Guan
2023	A*	`conf`	Weakly Supervised Regression with Interval Targets. ICML Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng
2023	J	`jnl`	Weakly Supervised Regression with Interval Targets. CoRR Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng
2023	J	`jnl`	Weakly supervised prototype topic model with discriminative seed words: modifying the category prior by self-exploring supervised signals. Soft Comput. Ximing Li, Bing Wang, Yue Wang, Jihong Ouyang, Harish Garg, Dang N. H. Thanh
2022	B	`conf`	A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. COLING Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao
2022	J	`jnl`	A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis. CoRR Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao
2022	J	`jnl`	Approximate continuous optimal transport with copulas. Int. J. Intell. Syst. Jinjin Chi, Bilin Wang, Huiling Chen, Lejun Zhang, Ximing Li, Jihong Ouyang
2022	J	`jnl`	Approximate posterior inference for Bayesian models: black-box expectation propagation. Knowl. Inf. Syst. Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang
2022	A	`conf`	Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning. CIKM Zhiqi Ge, Yuanyuan Guan, Ximing Li, Bo Fu
2022	A*	`conf`	Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates. SIGIR Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Ximing Li, Xuefeng Yang, Xiaoyue Feng
2022	J	`jnl`	Extracting nonlinear neural topics with neural variational bayes. World Wide Web Yiming Wang, Ximing Li, Jihong Ouyang, Zeqi Guo, Yimeng Wang
2022	J	`jnl`	Fast copula variational inference. J. Exp. Theor. Artif. Intell. Jinjin Chi, Jihong Ouyang, Ang Zhang, Xinhua Wang, Ximing Li
2022	A*	`conf`	Few-shot Node Classification on Attributed Networks with Graph Meta-learning. SIGIR Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
2022	J	`jnl`	Learning with Partial Labels from Semi-supervised Perspective. CoRR Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang
2022	A*	`conf`	PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation. WWW Haoyu Pang, Fausto Giunchiglia, Ximing Li, Renchu Guan, Xiaoyue Feng
2022	—	`conf`	Wavelet-Based Mamba with Fourier Adjustment for Low-Light Image Enhancement. ACCV (4) Junhao Tan, Songwen Pei, Wei Qin, Bo Fu, Ximing Li, Libo Huang
2022	A*	`conf`	Weakly-supervised Text Classification with Wasserstein Barycenters Regularization. IJCAI Jihong Ouyang, Yiming Wang, Ximing Li, Changchun Li
2022	A*	`conf`	Who Is Your Right Mixup Partner in Positive and Unlabeled Learning. ICLR Changchun Li, Ximing Li, Lei Feng, Jihong Ouyang
2021	A	`conf`	Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks. CIKM Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang
2021	—	`conf`	Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts. EMNLP (Findings) Yiming Wang, Ximing Li, Xiaotang Zhou, Jihong Ouyang
2021	A*	`conf`	Layer-Assisted Neural Topic Modeling over Document Networks. IJCAI Yiming Wang, Ximing Li, Jihong Ouyang
2021	J	`jnl`	RMoR-Aion: Robust Multioutput Regression by Simultaneously Alleviating Input and Output Noises. IEEE Trans. Neural Networks Learn. Syst. Ximing Li, Yang Wang, Zhao Zhang, Richang Hong, Li Zhuo, Meng Wang
2021	—	`conf`	Semi-Supervised Text Classification with Balanced Deep Representation Distributions. ACL/IJCNLP (1) Changchun Li, Ximing Li, Jihong Ouyang
2021	A	`conf`	To Be or not to Be, Tail Labels in Extreme Multi-label Learning. CIKM Zhiqi Ge, Ximing Li
2021	J	`jnl`	Topic extraction from extremely short texts with variational manifold regularization. Mach. Learn. Ximing Li, Yang Wang, Jihong Ouyang, Meng Wang
2021	A	`conf`	VPALG: Paper-publication Prediction with Graph Neural Networks. CIKM Renchu Guan, Yonghao Liu, Xiaoyue Feng, Ximing Li
2021	J	`jnl`	Variational Wasserstein Barycenters with c-Cyclical Monotonicity. CoRR Jinjin Chi, Zhiyao Yang, Jihong Ouyang, Ximing Li
2021	J	`jnl`	Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals. CoRR Bing Wang, Yue Wang, Ximing Li, Jihong Ouyang
2020	J	`jnl`	Color Image Super-Resolution and Enhancement with Inter-Channel Details at Trivial Cost. J. Comput. Sci. Technol. Chuang-Ye Zhang, Yan Niu, Tie-Ru Wu, Ximing Li
2020	A	`conf`	Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies. CIKM Changchun Li, Ximing Li, Jihong Ouyang
2020	J	`jnl`	Multilabel Text Classification With Incomplete Labels: A Safe Generative Model With Label Manifold Regularization and Confidence Constraint. IEEE Multim. Yuanyuan Guan, Ximing Li
2020	A*	`conf`	Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning. IJCAI Ximing Li, Yang Wang
2020	J	`jnl`	Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning. CoRR Ximing Li, Yang Wang
2020	A*	`conf`	Reduction and Local Search for Weighted Graph Coloring Problem. AAAI Yiyuan Wang, Shaowei Cai, Shiwei Pan, Ximing Li, Minghao Yin
2020	J	`jnl`	Robust stochastic block model. Neurocomputing Zhijuan Xu, Xueyan Liu, Xianjuan Cui, Ximing Li, Bo Yang
2020	A*	`conf`	Semantics-assisted Wasserstein Learning for Topic and Word Embeddings. ICDM Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang
2019	A	`conf`	A Fine-grained and Noise-aware Method for Neural Relation Extraction. CIKM Jianfeng Qu, Wen Hua, Dantong Ouyang, Xiaofang Zhou, Ximing Li
2019	J	`jnl`	A salt and pepper noise image denoising method based on the generative classification. Multim. Tools Appl. Bo Fu, Xiaoyang Zhao, Chuanming Song, Ximing Li, Xiang-Hai Wang
2019	A*	`conf`	Approximate Optimal Transport for Continuous Densities with Copulas. IJCAI Jinjin Chi, Jihong Ouyang, Ximing Li, Yang Wang, Meng Wang
2019	A*	`conf`	Classifying Extremely Short Texts by Exploiting Semantic Centroids in Word Mover's Distance Space. WWW Changchun Li, Jihong Ouyang, Ximing Li
2019	A*	`conf`	Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts. AAAI Ximing Li, Jiaojiao Zhang, Jihong Ouyang
2019	J	`jnl`	Relational Biterm Topic Model: Short-Text Topic Modeling using Word Embeddings. Comput. J. Ximing Li, Ang Zhang, Changchun Li, Lantian Guo, Wenting Wang, Jihong Ouyang
2019	J	`jnl`	Topic representation: Finding more representative words in topic models. Pattern Recognit. Lett. Jinjin Chi, Jihong Ouyang, Changchun Li, Xueyang Dong, Ximing Li, Xinhua Wang
2018	B	`conf`	A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words. COLING Ximing Li, Bo Yang
2018	J	`jnl`	A more time-efficient gibbs sampling algorithm based on SparseLDA for latent dirichlet allocation. Intell. Data Anal. Xiaotang Zhou, Jihong Ouyang, Ximing Li
2018	J	`jnl`	A salt and pepper noise image denoising method based on the generative classification. CoRR Bo Fu, Xiao-Yang Zhao, Yong-Gong Ren, Ximing Li, Xiang-Hai Wang
2018	A	`conf`	Black-box Expectation Propagation for Bayesian Models. SDM Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Wenting Wang
2018	A	`conf`	Dataless Text Classification: A Topic Modeling Approach with Document Manifold. CIKM Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Chenliang Li
2018	J	`jnl`	Distant supervision for neural relation extraction integrated with word attention and property features. Neural Networks Jianfeng Qu, Dantong Ouyang, Wen Hua, Yuxin Ye, Ximing Li
2018	J	`jnl`	Empirical study on variational inference methods for topic models. J. Exp. Theor. Artif. Intell. Jinjin Chi, Jihong Ouyang, Ximing Li, Changchun Li
2018	J	`jnl`	Exploring coherent topics by topic modeling with term weighting. Inf. Process. Manag. Ximing Li, Ang Zhang, Changchun Li, Jihong Ouyang, Yi Cai
2018	J	`jnl`	Filtering out the noise in short text topic modeling. Inf. Sci. Ximing Li, Yue Wang, Ang Zhang, Changchun Li, Jinjin Chi, Jihong Ouyang
2018	J	`jnl`	Light Weight Color Image Warping with Inter-Channel Information. CoRR Chuangye Zhang, Yan Niu, Tieru Wu, Ximing Li
2018	J	`jnl`	Short text topic modeling by exploring original documents. Knowl. Inf. Syst. Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang
2018	J	`jnl`	Supervised topic models with weighted words: multi-label document classification. Frontiers Inf. Technol. Electron. Eng. Yue-peng Zou, Jihong Ouyang, Ximing Li
2018	J	`jnl`	Topic representation: finding more representative words in topic models. CoRR Jinjin Chi, Jihong Ouyang, Changchun Li, Xueyang Dong, Ximing Li, Xinhua Wang
2018	J	`jnl`	Two time-efficient gibbs sampling inference algorithms for biterm topic model. Appl. Intell. Xiaotang Zhou, Jihong Ouyang, Ximing Li
2018	A*	`conf`	Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling. IJCAI Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang
2016	J	`jnl`	A kernel-based centroid classifier using hypothesis margin. J. Exp. Theor. Artif. Intell. Ximing Li, Jihong Ouyang, Xiaotang Zhou
2016	J	`jnl`	Boosting scene understanding by hierarchical pachinko allocation. Multim. Tools Appl. Jihong Ouyang, Ximing Li, Hongtu Li
2016	B	`conf`	Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs. COLING Ximing Li, Jinjin Chi, Changchun Li, Jihong Ouyang, Bo Fu
2016	J	`jnl`	Labelset topic model for multi-label document classification. J. Intell. Inf. Syst. Ximing Li, Jihong Ouyang, Xiaotang Zhou
2016	A	`conf`	Sparse Hybrid Variational-Gibbs Algorithm for Latent Dirichlet Allocation. SDM Ximing Li, Jihong Ouyang, Xiaotang Zhou
2016	J	`jnl`	Tuning the Learning Rate for Stochastic Variational Inference. J. Comput. Sci. Technol. Ximing Li, Jihong Ouyang
2015	J	`jnl`	Centroid prior topic model for multi-label classification. Pattern Recognit. Lett. Ximing Li, Jihong Ouyang, Xiaotang Zhou
2015	J	`jnl`	Group topic model: organizing topics into groups. Inf. Retr. J. Ximing Li, Jihong Ouyang, You Lu, Xiaotang Zhou, Tian Tian
2015	J	`jnl`	Supervised labeled latent Dirichlet allocation for document categorization. Appl. Intell. Ximing Li, Jihong Ouyang, Xiaotang Zhou, You Lu, Yanhui Liu
2015	J	`jnl`	Supervised topic models for multi-label classification. Neurocomputing Ximing Li, Jihong Ouyang, Xiaotang Zhou
2015	J	`jnl`	Topic modeling for large-scale text data. Frontiers Inf. Technol. Electron. Eng. Ximing Li, Jihong Ouyang, You Lu
2014	—	`conf`	Adaptive Centroid-Based Clustering Algorithm for Text Document Data. PAAP Ximing Li, Jihong Ouyang, Xiaotang Zhou, Bo Fu
2014	A	`conf`	Momentum Online LDA for Large-scale Datasets. ECAI Jihong Ouyang, You Lu, Ximing Li