Le Wu - RankMe

237 papers A* 61A 10C 2Journal 135Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Align Sequential Collaborative Signals and Text Semantics for Citation Recommendation: A Hybrid Perspective. ACM Trans. Knowl. Discov. Data Jiahui Wang, Ning Jia, Likang Wu, Hongke Zhao, Le Wu
2026	A*	`conf`	AlignCP: Noise-Aware Preference Alignment for LLMs via Confidence and Polarity Reweighting. WWW Chen Cheng, Hefei Xu, Le Wu
2026	J	`jnl`	CLEAR: Null-Space Projection for Cross-Modal De-Redundancy in Multimodal Recommendation. CoRR Hao Zhan, Yihui Wang, Yonghui Yang, Danyang Yue, Yu Wang, Pengyang Shao, Fei Shen, Fei Liu, Le Wu
2026	J	`jnl`	Controllable Value Alignment in Large Language Models through Neuron-Level Editing. CoRR Yonghui Yang, Junwei Li, Jilong Liu, Yicheng He, Fengbin Zhu, Weibiao Huang, Le Wu, Richang Hong, Tat-Seng Chua
2026	J	`jnl`	Enhancing realism and diversity in data augmentation for robust HD-sEMG gesture recognition against electrode shift. Biomed. Signal Process. Control. Haikong Lu, Le Wu, Shengcai Duan, Aiping Liu, Xun Chen
2026	J	`jnl`	From Atom to Community: Structured and Evolving Agent Memory for User Behavior Modeling. CoRR Yuxin Liao, Le Wu, Min Hou, Yu Wang, Han Wu, Meng Wang
2026	J	`jnl`	MLLMRec-R1: Incentivizing Reasoning Capability in Large Language Models for Multimodal Sequential Recommendation. CoRR Yu Wang, Yonghui Yang, Le Wu, Jiancan Wu, Hefei Xu, Hui Lin
2026	J	`jnl`	MOGeo: Beyond One-to-One Cross-View Object Geo-localization. CoRR Bo Lv, Qingwang Zhang, Le Wu, YuanYuan Li, Yingying Zhu
2026	A*	`conf`	MRGeo: Robust Cross-View Geo-Localization of Corrupted Images via Spatial and Channel Feature Enhancement. AAAI Le Wu, Bo Lv, Songsong Ouyang, Yingying Zhu
2026	J	`jnl`	MRGeo: Robust Cross-View Geo-Localization of Corrupted Images via Spatial and Channel Feature Enhancement. CoRR Le Wu, Lv Bo, Songsong Ouyang, Yingying Zhu
2026	A*	`conf`	Mitigating Fine-tuning Bias: A Parameter-Efficient Debiasing Framework for Large Language Models. WWW Qiuyu Li, Kun Zhang, Le Wu, Hao Liu, Hefei Xu, Xin Li, Si Wei
2026	A*	`conf`	Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation. AAAI Hefei Xu, Le Wu, Chen Cheng, Hao Liu
2026	J	`jnl`	Normalizing Flow-Based Fine-Grained Modeling for Unknown Gesture Rejection in Myoelectric Pattern Recognition. IEEE Trans. Artif. Intell. Jingyang Jia, Le Wu, Shengcai Duan, Xun Chen
2026	A*	`conf`	RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation. AAAI Min Hou, Chenxi Bai, Le Wu, Hao Liu, Kai Zhang, Weiwen Liu, Richang Hong, Ruiming Tang, Meng Wang
2026	J	`jnl`	Revisiting Robustness for LLM Safety Alignment via Selective Geometry Control. CoRR Yonghui Yang, Wenjian Tao, Jilong Liu, Xingyu Zhu, Junfeng Fang, Weibiao Huang, Le Wu, Richang Hong, Tat-Seng Chua
2026	A*	`conf`	VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models. WWW Hefei Xu, Le Wu, Yu Wang, Min Hou, Han Wu, Zhen Zhang, Meng Wang
2026	J	`jnl`	VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models. CoRR Hefei Xu, Le Wu, Yu Wang, Min Hou, Han Wu, Zhen Zhang, Meng Wang
2026	A*	`conf`	WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging. WWW Min Hou, Xin Liu, Le Wu, Chenyi He, Hao Liu, Zhi Li, Xin Li, Si Wei
2025	J	`jnl`	A Novel Framework for Cross-User Open-Set Myoelectric Pattern Recognition. IEEE Trans. Biomed. Eng. Ge Gao, Xu Zhang, Le Wu, Xiang Chen, Zhang Chen
2025	J	`jnl`	A Survey on Generative Recommendation: Data, Model, and Tasks. CoRR Min Hou, Le Wu, Yuxin Liao, Yonghui Yang, Zhen Zhang, Changlong Zheng, Han Wu, Richang Hong
2025	J	`jnl`	An Active Multi-Target Domain Adaptation Strategy: Progressive Class Prototype Rectification. IEEE Trans. Multim. Yanan Zhu, Jiaqiu Ai, Le Wu, Dan Guo, Wei Jia, Richang Hong
2025	—	`conf`	An Automated Extraction System for Material Chemistry Experimental Protocols. BESC (3) Fan Yang, Feiyang Xu, Huadong Liang, Xianghui Fan, Linjiang Chen, Kun Zhang, Xin Li, Le Wu, Shijin Wang
2025	J	`jnl`	An Efficient LLM-based Evolutional Recommendation with Locate-Forget-Update Paradigm. CoRR Hao Liu, Le Wu, Min Hou, Han Wu, Kun Zhang, Xin Li, Si Wei
2025	J	`jnl`	An Evolutionary Multitasking Algorithm for Efficient Multiobjective Recommendations. IEEE Trans. Artif. Intell. Ye Tian, Luke Ji, Yiwei Hu, Haiping Ma, Le Wu, Xingyi Zhang
2025	—	`conf`	An Input Recovery Side-Channel Attack on Dnn Accelerator with Three-Dimensional Power Surface. HOST Le Wu, Liji Wu, Zhiwei Ba, Xiangmin Zhang
2025	—	`conf`	Boosting Explainability through Selective Rationalization in Pre-trained Language Models. KDD (1) Libing Yuan, Shuaibo Hu, Kui Yu, Le Wu
2025	J	`jnl`	Boosting Explainability through Selective Rationalization in Pre-trained Language Models. CoRR Libing Yuan, Shuaibo Hu, Kui Yu, Le Wu
2025	J	`jnl`	Breaking student-concept sparsity barrier for cognitive diagnosis. Frontiers Comput. Sci. Pengyang Shao, Kun Zhang, Chen Gao, Lei Chen, Miaomiao Cai, Le Wu, Yong Li, Meng Wang
2025	J	`jnl`	Catch the Star: Weight Recovery Attack Using Side-Channel Star Map Against DNN Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Le Wu, Liji Wu, Xiangmin Zhang
2025	J	`jnl`	Data Augmentation for Seizure Prediction With Generative Diffusion Model. IEEE Trans. Cogn. Dev. Syst. Kai Shu, Le Wu, Yuchang Zhao, Aiping Liu, Ruobing Qian, Xun Chen
2025	J	`jnl`	EMCRL: EM-Enhanced Negative Sampling Strategy for Contrastive Representation Learning. IEEE Trans. Comput. Soc. Syst. Kun Zhang, Guangyi Lv, Le Wu, Richang Hong, Meng Wang
2025	J	`jnl`	EduStudio: towards a unified library for student cognitive modeling. Frontiers Comput. Sci. Le Wu, Xiangzhi Chen, Fei Liu, Junsong Xie, Chenao Xia, Zhengtao Tan, Mi Tian, Jinglong Li, Kun Zhang, Defu Lian, Richang Hong, Meng Wang
2025	J	`jnl`	Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions. CoRR Kun Zhang, Le Wu, Kui Yu, Guangyi Lv, Dacao Zhang
2025	—	`conf`	Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education. KDD (1) Pengyang Shao, Yonghui Yang, Chen Gao, Lei Chen, Kun Zhang, Chenyi Zhuang, Le Wu, Yong Li, Meng Wang
2025	A*	`conf`	Fair Personalized Learner Modeling Without Sensitive Attributes. WWW Hefei Xu, Min Hou, Le Wu, Fei Liu, Yonghui Yang, Haoyue Bai, Richang Hong, Meng Wang
2025	—	`conf`	InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models. KDD (1) Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian
2025	A*	`conf`	Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning. SIGIR Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang
2025	J	`jnl`	Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning. CoRR Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang
2025	J	`jnl`	Less is More: Information Bottleneck Denoised Multimedia Recommendation. CoRR Yonghui Yang, Le Wu, Zhuangzhuang He, Zhengwei Wu, Richang Hong, Meng Wang
2025	J	`jnl`	Making Non-Overlapping Matters: An Unsupervised Alignment Enhanced Cross-Domain Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. Zihan Wang, Yonghui Yang, Le Wu, Richang Hong, Meng Wang
2025	A*	`conf`	Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective. SIGIR Yuxin Liao, Yonghui Yang, Min Hou, Le Wu, Hefei Xu, Hao Liu
2025	J	`jnl`	Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning. CoRR Miaomiao Cai, Min Hou, Lei Chen, Le Wu, Haoyue Bai, Yong Li, Meng Wang
2025	J	`jnl`	MoLoRec: A Generalizable and Efficient Framework for LLM-Based Recommendation. CoRR Min Hou, Chenxi Bai, Le Wu, Hao Liu, Kun Zhang, Kai Zhang, Richang Hong, Meng Wang
2025	—	`conf`	MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning. ACL (Findings) Dacao Zhang, Kun Zhang, Shimao Chu, Le Wu, Xin Li, Si Wei
2025	J	`jnl`	MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning. CoRR Dacao Zhang, Kun Zhang, Shimao Chu, Le Wu, Xin Li, Si Wei
2025	J	`jnl`	Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation. CoRR Hefei Xu, Le Wu, Chen Cheng, Hao Liu
2025	J	`jnl`	Multi-view contrastive and cluster-guided learning for author name disambiguation. Expert Syst. Appl. Fan Ye, Zong Xia, Zhaolong Ling, Le Wu
2025	J	`jnl`	Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation. CoRR Yu Wang, Yonghui Yang, Le Wu, Yi Zhang, Richang Hong
2025	J	`jnl`	Prompt Transfer for Dual-Aspect Cross-Domain Cognitive Diagnosis. IEEE Trans. Comput. Soc. Syst. Fei Liu, Yizhong Zhang, Shuochen Liu, Shengwei Ji, Kui Yu, Le Wu
2025	J	`jnl`	Recall-Extend Dynamics: Enhancing Small Language Models through Controlled Exploration and Refined Offline Integration. CoRR Zhong Guan, Likang Wu, Hongke Zhao, Jiahui Wang, Le Wu
2025	A	`conf`	Selective Mixup for Debiasing Question Selection in Computerized Adaptive Testing. CIKM Mi Tian, Kun Zhang, Fei Liu, Jinglong Li, Yuxin Liao, Chenxi Bai, Zhengtao Tan, Le Wu, Richang Hong
2025	J	`jnl`	Selective Mixup for Debiasing Question Selection in Computerized Adaptive Testing. CoRR Mi Tian, Kun Zhang, Fei Liu, Jinglong Li, Yuxin Liao, Chenxi Bai, Zhengtao Tan, Le Wu, Richang Hong
2025	—	`conf`	TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. NAACL (Findings) Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen
2025	A	`conf`	Trustworthy Knowledge Discovery and Data Mining (TrustKDD). CIKM Le Wu, Jindong Wang, Ling Chen, Xiangyu Zhao, Kui Yu, Yashar Deldjoo, Defu Lian
2025	J	`jnl`	Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. IEEE Trans. Knowl. Data Eng. Wenbo Hu, Xin Sun, Qiang Liu, Le Wu, Liang Wang
2025	J	`jnl`	Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation. IEEE Trans. Big Data Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang
2025	J	`jnl`	WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging. CoRR Min Hou, Xin Liu, Le Wu, Chenyi He, Hao Liu, Zhi Li, Xin Li, Si Wei
2024	J	`jnl`	A New Lightweight Fault Diagnosis Framework Towards Variable Speed Rolling Bearings. IEEE Access Guiyi Liu, Chao Zhang, Shuai Xu, Jing Zhang, Le Wu
2024	J	`jnl`	Average User-Side Counterfactual Fairness for Collaborative Filtering. ACM Trans. Inf. Syst. Pengyang Shao, Le Wu, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang
2024	J	`jnl`	Boosting Multimedia Recommendation via Separate Generic and Unique Awareness. CoRR Zhuangzhuang He, Zihan Wang, Yonghui Yang, Haoyue Bai, Le Wu
2024	A	`conf`	Bots Shield Fake News: Adversarial Attack on User Engagement based Fake News Detection. CIKM Lanjun Wang, Zehao Wang, Le Wu, An-An Liu
2024	J	`jnl`	Color Enhanced Cross Correlation Net for Image Sentiment Analysis. IEEE Trans. Multim. Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen
2024	J	`jnl`	Description-Enhanced Label Embedding Contrastive Learning for Text Classification. IEEE Trans. Neural Networks Learn. Syst. Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang
2024	A*	`conf`	Double Correction Framework for Denoising Recommendation. KDD Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang
2024	J	`jnl`	Double Correction Framework for Denoising Recommendation. CoRR Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang
2024	J	`jnl`	Dual Graph Neural Networks for Dynamic Users' Behavior Prediction on Social Networking Services. IEEE Trans. Comput. Soc. Syst. Junwei Li, Le Wu, Yulu Du, Richang Hong, Weisheng Li
2024	J	`jnl`	Dual-Rail Precharge Logic-Based Side-Channel Countermeasure for DNN Systolic Array. IEEE Trans. Very Large Scale Integr. Syst. Le Wu, Liji Wu, Xiangmin Zhang, Munkhbaatar Chinbat
2024	J	`jnl`	Enhancing EEG artifact removal through neural architecture search with large kernels. Adv. Eng. Informatics Le Wu, Aiping Liu, Chang Li, Xun Chen
2024	J	`jnl`	FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. ACM Trans. Inf. Syst. Fei Liu, Chenyang Bu, Haotian Zhang, Le Wu, Kui Yu, Xuegang Hu
2024	J	`jnl`	Global and local neural cognitive modeling for student performance prediction. Expert Syst. Appl. Yu Su, Shuanghong Shen, Linbo Zhu, Le Wu, Zhenya Huang, Zeyu Cheng, Qi Liu, Shijin Wang
2024	A*	`conf`	Graph Bottlenecked Social Recommendation. KDD Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang
2024	J	`jnl`	Graph Bottlenecked Social Recommendation. CoRR Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang
2024	J	`jnl`	Hyperbolic Graph Learning for Social Recommendation. IEEE Trans. Knowl. Data Eng. Yonghui Yang, Le Wu, Kun Zhang, Richang Hong, Hailin Zhou, Zhiqiang Zhang, Jun Zhou, Meng Wang
2024	J	`jnl`	IFM calculator: An algorithm for interfragmentary motion calculation in finite element analysis. Comput. Methods Programs Biomed. Jun Sun, Le Wu, Nan Fang, Lifeng Liu
2024	J	`jnl`	InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models. CoRR Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian
2024	J	`jnl`	Label-aware debiased causal reasoning for Natural Language Inference. AI Open Kun Zhang, Dacao Zhang, Le Wu, Richang Hong, Ye Zhao, Meng Wang
2024	A*	`conf`	Learning Fair Representations for Recommendation via Information Bottleneck Principle. IJCAI Junsong Xie, Yonghui Yang, Zihan Wang, Le Wu
2024	J	`jnl`	Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning. ACM Trans. Intell. Syst. Technol. Miaomiao Cai, Min Hou, Lei Chen, Le Wu, Haoyue Bai, Yong Li, Meng Wang
2024	A*	`conf`	Multimodality Invariant Learning for Multimedia-Based New Item Recommendation. SIGIR Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang
2024	J	`jnl`	Multimodality Invariant Learning for Multimedia-Based New Item Recommendation. CoRR Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang
2024	J	`jnl`	Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. CoRR Peijie Sun, Le Wu, Kun Zhang, Xiangzhi Chen, Meng Wang
2024	J	`jnl`	Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE Trans. Knowl. Data Eng. Peijie Sun, Le Wu, Kun Zhang, Xiangzhi Chen, Meng Wang
2024	—	`conf`	Pass-Through ELSFP with Optional Integrated Optical Mux and Demux for Colorless CPO Systems. OFC Jingwei Liu, Zhan Su, Le Wu, Lei Shi, Lihua Chi, Xujun Pan, Sam Huang, Yu Ning, Zhigang Gong
2024	A*	`conf`	Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. KDD Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang
2024	J	`jnl`	Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. CoRR Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang
2024	A*	`conf`	Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias. KDD Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang, Meng Wang
2024	J	`jnl`	Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias. CoRR Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang, Meng Wang
2024	J	`jnl`	Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis. CoRR Fei Liu, Yizhong Zhang, Shuochen Liu, Shengwei Ji, Kui Yu, Le Wu
2024	J	`jnl`	PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs. CoRR Shengwei Ji, Yujie Tian, Fei Liu, Xinlu Li, Le Wu
2024	J	`jnl`	Remaining Life Prediction of Bearings Based on Improved IF-SCINet. IEEE Access Jing Zhang, Chao Zhang, Shuai Xu, Guiyi Liu, Hongbo Fei, Le Wu
2024	J	`jnl`	TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. CoRR Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen
2024	J	`jnl`	Understanding and improving fairness in cognitive diagnosis. Sci. China Inf. Sci. Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, Enhong Chen
2023	J	`jnl`	A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation. IEEE Trans. Knowl. Data Eng. Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang
2023	J	`jnl`	Automated Feature Selection: A Reinforcement Learning Perspective. IEEE Trans. Knowl. Data Eng. Kunpeng Liu, Yanjie Fu, Le Wu, Xiaolin Li, Charu Aggarwal, Hui Xiong
2023	J	`jnl`	Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry. J. Comput. Sci. Technol. Ming He, Yan Chen, Hongke Zhao, Qi Liu, Le Wu, Yu Cui, Guihua Zeng, Guiquan Liu
2023	J	`jnl`	Data Augmentation for Seizure Prediction with Generative Diffusion Model. CoRR Kai Shu, Yuchang Zhao, Le Wu, Aiping Liu, Ruobing Qian, Xun Chen
2023	J	`jnl`	Description-Enhanced Label Embedding Contrastive Learning for Text Classification. CoRR Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023	A	`conf`	Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. CIKM Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang
2023	A*	`conf`	Disentangling Cognitive Diagnosis with Limited Exercise Labels. NeurIPS Xiangzhi Chen, Le Wu, Fei Liu, Lei Chen, Kun Zhang, Richang Hong, Meng Wang
2023	A*	`conf`	Fair Representation Learning for Recommendation: A Mutual Information Perspective. AAAI Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang
2023	A*	`conf`	FairLISA: Fair User Modeling with Limited Sensitive Attributes Information. NeurIPS Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen
2023	J	`jnl`	Generative Contrastive Graph Learning for Recommendation. CoRR Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023	A*	`conf`	Generative-Contrastive Graph Learning for Recommendation. SIGIR Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023	A*	`conf`	GoRec: A Generative Cold-start Recommendation Framework. ACM Multimedia Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang
2023	J	`jnl`	Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation. IEEE Trans. Syst. Man Cybern. Syst. Bin Wu, Xiangnan He, Le Wu, Xue Zhang, Yangdong Ye
2023	A*	`conf`	Improving Recommendation Fairness via Data Augmentation. WWW Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023	J	`jnl`	Improving Recommendation Fairness via Data Augmentation. CoRR Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023	J	`jnl`	Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
2023	J	`jnl`	Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
2023	J	`jnl`	LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching. IEEE Trans. Neural Networks Learn. Syst. Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang
2023	J	`jnl`	MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation. ACM Trans. Inf. Syst. Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong
2023	A*	`conf`	Meta Multi-agent Exercise Recommendation: A Game Application Perspective. KDD Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu
2023	J	`jnl`	RNADisease v4.0: an updated resource of RNA-associated diseases, providing RNA-disease analysis, enrichment and prediction. Nucleic Acids Res. Jia Chen, Jiahao Lin, Yongfei Hu, Meijun Ye, Linhui Yao, Le Wu, Wenhai Zhang, Meiyi Wang, Tingting Deng, Feng Guo, Yan Huang, Bofeng Zhu, Dong Wang
2023	A*	`conf`	RecStudio: Towards a Highly-Modularized Recommender System. SIGIR Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen
2023	J	`jnl`	Signal Processing for Brain-Computer Interfaces: A review and current perspectives. IEEE Signal Process. Mag. Le Wu, Aiping Liu, Rabab K. Ward, Z. Jane Wang, Xun Chen
2023	J	`jnl`	Silent Speech Recognition Based on High-Density Surface Electromyogram Using Hybrid Neural Networks. IEEE Trans. Hum. Mach. Syst. Xi Chen, Yuanfei Xia, Yong Sun, Le Wu, Xiang Chen, Xun Chen, Xu Zhang
2023	A*	`conf`	Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. SIGIR Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang
2022	A*	`conf`	A Review-aware Graph Contrastive Learning Framework for Recommendation. SIGIR Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li
2022	J	`jnl`	A Review-aware Graph Contrastive Learning Framework for Recommendation. CoRR Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li
2022	J	`jnl`	An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation. ACM Trans. Inf. Syst. Peijie Sun, Le Wu, Kun Zhang, Yu Su, Meng Wang
2022	A*	`conf`	Anisotropic Additive Quantization for Fast Inner Product Search. AAAI Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen
2022	J	`jnl`	Detecting the universal adversarial perturbations on high-density sEMG signals. Comput. Biol. Medicine Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen
2022	J	`jnl`	DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. IEEE Trans. Knowl. Data Eng. Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang
2022	J	`jnl`	Electrode Shift Robust CNN for High-Density Myoelectric Pattern Recognition Control. IEEE Trans. Instrum. Meas. Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen
2022	J	`jnl`	FairCF: fairness-aware collaborative filtering. Sci. China Inf. Sci. Pengyang Shao, Le Wu, Lei Chen, Kun Zhang, Meng Wang
2022	A*	`conf`	Forest-based Deep Recommender. SIGIR Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen
2022	J	`jnl`	Graph-based cognitive diagnosis for intelligent tutoring systems. Knowl. Based Syst. Yu Su, Zeyu Cheng, Jinze Wu, Yanmin Dong, Zhenya Huang, Le Wu, Enhong Chen, Shijin Wang, Fei Xie
2022	A*	`conf`	Incremental Cognitive Diagnosis for Intelligent Education. KDD Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang
2022	A*	`conf`	Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. SIGIR Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu
2022	J	`jnl`	Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. CoRR Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu
2022	A	`conf`	Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms. CIKM Haiping Ma, Manwei Li, Le Wu, Haifeng Zhang, Yunbo Cao, Xingyi Zhang, Xuemin Zhao
2022	J	`jnl`	MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation. CoRR Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong
2022	—	`conf`	Multi-Relational Cognitive Diagnosis for Intelligent Education. CICAI (2) Kaifang Wu, Yonghui Yang, Kun Zhang, Le Wu, Jing Liu, Xin Li
2022	A*	`conf`	Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. WWW Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie
2022	A*	`conf`	ProFairRec: Provider Fairness-aware News Recommendation. SIGIR Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2022	J	`jnl`	ProFairRec: Provider Fairness-aware News Recommendation. CoRR Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2022	J	`jnl`	Rejecting Novel Motions in High-Density Myoelectric Pattern Recognition Using Hybrid Neural Networks. Frontiers Neurorobotics Le Wu, Xun Chen, Xiang Chen, Xu Zhang
2022	—	`conf`	Self-Supervised Cross Domain Social Recommendation. ICCAI Suchang Luo, Yonghui Yang, Kun Zhang, Peijie Sun, Le Wu, Richang Hong
2022	J	`jnl`	Understanding the Users and Videos by Mining a Novel Danmu Dataset. IEEE Trans. Big Data Guangyi Lv, Kun Zhang, Le Wu, Enhong Chen, Tong Xu, Qi Liu, Weidong He
2022	A*	`conf`	Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion. ICDM Chenyang Bu, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu
2021	J	`jnl`	A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation. CoRR Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang
2021	J	`jnl`	Collaborative Neural Social Recommendation. IEEE Trans. Syst. Man Cybern. Syst. Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang
2021	J	`jnl`	Deep Attributed Network Embedding by Preserving Structure and Attribute Information. IEEE Trans. Syst. Man Cybern. Syst. Richang Hong, Yuan He, Le Wu, Yong Ge, Xindong Wu
2021	A*	`conf`	Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. SIGIR Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang
2021	J	`jnl`	Hierarchical attention model for personalized tag recommendation. J. Assoc. Inf. Sci. Technol. Jianshan Sun, Mingyue Zhu, Yuanchun Jiang, Ye-Zheng Liu, Le Wu
2021	J	`jnl`	LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching. CoRR Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang
2021	J	`jnl`	Learning Fair Representations for Bipartite Graph based Recommendation. CoRR Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang
2021	A*	`conf`	Learning Fair Representations for Recommendation: A Graph-based Perspective. WWW Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang
2021	A*	`conf`	Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. AAAI Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan
2021	—	`conf`	Meta-learned ID Embeddings for Online Inductive Recommendation. CCIR Jingyu Peng, Le Wu, Peijie Sun, Meng Wang
2021	J	`jnl`	Metric learning for novel motion rejection in high-density myoelectric pattern recognition. Knowl. Based Syst. Le Wu, Xu Zhang, Xuan Zhang, Xiang Chen, Xun Chen
2021	—	`conf`	Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior. APWeb/WAIM (2) Dan Lu, Le Wu, Rui Chen, Qilong Han, Yichen Wang, Yong Ge
2021	J	`jnl`	Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference. IEEE Trans. Syst. Man Cybern. Syst. Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu
2021	J	`jnl`	Multiuser gesture recognition using sEMG signals via canonical correlation analysis and optimal transport. Comput. Biol. Medicine Bo Xue, Le Wu, Kun Wang, Xu Zhang, Juan Cheng, Xiang Chen, Xun Chen
2021	J	`jnl`	Predicting personalized grouping and consumption: A collaborative evolution model. Knowl. Based Syst. Lu Yang, Ye-Zheng Liu, Yuanchun Jiang, Le Wu, Jianshan Sun
2021	A*	`conf`	Privileged Graph Distillation for Cold Start Recommendation. SIGIR Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang
2021	J	`jnl`	Privileged Graph Distillation for Cold Start Recommendation. CoRR Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang
2021	J	`jnl`	Random walk based distributed representation learning and prediction on Social Networking Services. Inf. Sci. Junwei Li, Le Wu, Richang Hong, Jinkui Hou
2021	A*	`conf`	Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. SIGIR Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang
2021	J	`jnl`	Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. CoRR Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang
2021	A	`conf`	Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. CIKM Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu
2021	—	`conf`	The Collocations of Chinese Color Words. CLSW (1) Shan Wang, Le Wu, Qiaomin Gong
2021	—	`conf`	White-Box Attacks on the CNN-Based Myoelectric Control System. CICAI Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xun Chen
2020	J	`jnl`	A Hierarchical Attention Model for Social Contextual Image Recommendation. IEEE Trans. Knowl. Data Eng. Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang
2020	J	`jnl`	A Joint Neural Model for User Behavior Prediction on Social Networking Platforms. ACM Trans. Intell. Syst. Technol. Junwei Li, Le Wu, Richang Hong, Kun Zhang, Yong Ge, Yan Li
2020	J	`jnl`	A Novel Postprocessing Method for Robust Myoelectric Pattern-Recognition Control Through Movement Pattern Transition Detection. IEEE Trans. Hum. Mach. Syst. Bin Yu, Xu Zhang, Le Wu, Xiang Chen, Xun Chen
2020	—	`conf`	A Text-Guided Graph Structure for Image Captioning. ICME Workshops Depeng Wang, Zhenzhen Hu, Yuanen Zhou, Xueliang Liu, Le Wu, Richang Hong
2020	J	`jnl`	Adaptive Calibration of Electrode Array Shifts Enables Robust Myoelectric Control. IEEE Trans. Biomed. Eng. Xu Zhang, Le Wu, Bin Yu, Xiang Chen, Xun Chen
2020	J	`jnl`	DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. CoRR Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang
2020	A*	`conf`	Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. WWW Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang
2020	A*	`conf`	Fine-Grained Similarity Measurement between Educational Videos and Exercises. ACM Multimedia Xin Wang, Wei Huang, Qi Liu, Yu Yin, Zhenya Huang, Le Wu, Jianhui Ma, Xue Wang
2020	A*	`conf`	Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. AAAI Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen
2020	J	`jnl`	IDEA: A new dataset for image aesthetic scoring. Multim. Tools Appl. Xin Jin, Le Wu, Geng Zhao, Xinghui Zhou, Xiaokun Zhang, Xiaodong Li
2020	A*	`conf`	Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. SIGIR Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang
2020	J	`jnl`	Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. CoRR Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang
2020	J	`jnl`	Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students. ACM Trans. Inf. Syst. Zhenya Huang, Qi Liu, Yuying Chen, Le Wu, Keli Xiao, Enhong Chen, Haiping Ma, Guoping Hu
2020	A*	`conf`	Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. SIGIR Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang
2020	J	`jnl`	Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. CoRR Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang
2020	J	`jnl`	Leveraging proficiency and preference for online Karaoke recommendation. Frontiers Comput. Sci. Ming He, Hao Guo, Guangyi Lv, Le Wu, Yong Ge, Enhong Chen, Haiping Ma
2020	J	`jnl`	R CoRR Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan
2020	—	`conf`	ResFusion: A Residual Learning Based Fusion Framework for CTR Prediction. CCIR Junmei Bao, Yangguang Ji, Yonghui Yang, Le Wu, Ruiji Fu
2020	A*	`conf`	Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. AAAI Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang
2020	J	`jnl`	Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. CoRR Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang
2020	—	`conf`	The Collocations of Chinese Tactile Adjectives. CLSW Shan Wang, Le Wu, Qiaomin Gong
2019	A*	`conf`	A Neural Influence Diffusion Model for Social Recommendation. SIGIR Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang
2019	J	`jnl`	A Neural Influence Diffusion Model for Social Recommendation. CoRR Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang
2019	A*	`conf`	Aesthetic Attributes Assessment of Images. ACM Multimedia Xin Jin, Le Wu, Geng Zhao, Xiaodong Li, Xiaokun Zhang, Shiming Ge, Dongqing Zou, Bin Zhou, Xinghui Zhou
2019	J	`jnl`	Aesthetic Attributes Assessment of Images. CoRR Xin Jin, Le Wu, Geng Zhao, Xiaodong Li, Xiaokun Zhang, Shiming Ge, Dongqing Zou, Bin Zhou, Xinghui Zhou
2019	A*	`conf`	Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning. KDD Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li
2019	—	`conf`	Context-Aware Dual-Attention Network for Natural Language Inference. PAKDD (3) Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, C. L. Philip Chen
2019	—	`conf`	Convolutional Neural Network with Data Augmentation for Robust Myoelectric Control. CIVEMSA Tong Luo, Xu Zhang, Le Wu, Xi Chen, Xiang Chen, Xun Chen
2019	A*	`conf`	DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. AAAI Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie
2019	A*	`conf`	Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. AAAI Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li
2019	A*	`conf`	Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. IJCAI Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu
2019	J	`jnl`	Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. CoRR Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu
2019	J	`jnl`	ILGNet: inception modules with connected local and global features for efficient image aesthetic quality classification using domain adaptation. IET Comput. Vis. Xin Jin, Le Wu, Xiaodong Li, Xiaokun Zhang, Jingying Chi, Siwei Peng, Shiming Ge, Geng Zhao, Shuying Li
2019	J	`jnl`	Learning from visual content and style: an image-enhanced recommendation model. CCF Trans. Pervasive Comput. Interact. Suchang Luo, Lei Chen, Le Wu
2019	A*	`conf`	Personalized Multimedia Item and Key Frame Recommendation. IJCAI Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang
2019	J	`jnl`	Personalized Multimedia Item and Key Frame Recommendation. CoRR Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang
2019	—	`ch.`	Photo Aesthetic Scoring Through Spatial Aggregation Perception DCNN on a New IDEA Dataset. Cognitive Internet of Things Xin Jin, Le Wu, Geng Zhao, Xinghui Zhou, Xiaokun Zhang, Xiaodong Li
2019	J	`jnl`	Quality-Aware Unpaired Image-to-Image Translation. IEEE Trans. Multim. Lei Chen, Le Wu, Zhenzhen Hu, Meng Wang
2019	J	`jnl`	Quality-aware Unpaired Image-to-Image Translation. CoRR Lei Chen, Le Wu, Zhenzhen Hu, Meng Wang
2019	J	`jnl`	Secure face retrieval for group mobile users. Soft Comput. Xin Jin, Yujie Li, Shiming Ge, Chenggen Song, Le Wu, Xinghui Zhou
2019	J	`jnl`	Two open-source projects for image aesthetic quality assessment. Sci. China Inf. Sci. Le Wu, Xin Jin, Geng Zhao, Xinghui Zhou
2019	—	`conf`	Visualized Evidences for Detecting Novelty in Myoelectric Pattern Recognition using 3D Convolutional Neural Networks. EMBC Le Wu, Xu Zhang, Xiang Chen, Xun Chen
2018	A*	`conf`	A Reinforcement Learning Framework for Explainable Recommendation. ICDM Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie
2018	A*	`conf`	Attentive Recurrent Social Recommendation. SIGIR Peijie Sun, Le Wu, Meng Wang
2018	—	`conf`	Contextual Attention Model for Social Recommendation. PCM (2) Hongfeng Bao, Le Wu, Peijie Sun
2018	J	`jnl`	Explainable Social Contextual Image Recommendation with Hierarchical Attention. CoRR Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du
2018	J	`jnl`	Illuminating Recommendation by Understanding the Explicit Item Relations. J. Comput. Sci. Technol. Qi Liu, Hongke Zhao, Le Wu, Zhi Li, En-Hong Chen
2018	A*	`conf`	Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. ICDM Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu
2018	A	`conf`	Multiple Pairwise Ranking with Implicit Feedback. CIKM Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen
2018	—	`conf`	Predicting Aesthetic Radar Map Using a Hierarchical Multi-task Network. PRCV (2) Xin Jin, Le Wu, Xinghui Zhou, Geng Zhao, Xiaokun Zhang, Xiaodong Li, Shiming Ge
2018	A*	`conf`	Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence. AAAI Xin Jin, Le Wu, Xiaodong Li, Siyu Chen, Siwei Peng, Jingying Chi, Shiming Ge, Chenggen Song, Geng Zhao
2018	J	`jnl`	Product Adoption Rate Prediction in a Competitive Market. IEEE Trans. Knowl. Data Eng. Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang
2018	J	`jnl`	SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation. CoRR Le Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang, Meng Wang
2018	A*	`conf`	Zero-Shot Learning: An Energy Based Approach. ICDM Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen
2017	A*	`conf`	Incremental Matrix Factorization: A Linear Feature Transformation Perspective. IJCAI Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang
2017	C	`conf`	Integrating LTE-D2D and VLC techniques to support V2V communication. ICCC Peng Yue, Le Wu, Zongmin Cui
2017	—	`conf`	MFCC: An Efficient and Effective Matrix Factorization Model Based on Co-clustering. ICIMCS Wenjuan Yang, Le Wu, Xueliang Liu, Chunxiao Fan
2017	J	`jnl`	Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services. IEEE Trans. Knowl. Data Eng. Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang
2017	J	`jnl`	Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence. CoRR Xin Jin, Le Wu, Chenggen Song, Xiaodong Li, Geng Zhao, Siyu Chen, Jingying Chi, Siwei Peng, Shiming Ge
2017	A	`conf`	Tracking Knowledge Proficiency of Students with Educational Priors. CIKM Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Runze Wu, Yu Su, Guoping Hu
2017	A*	`conf`	Tracking the Dynamics in Crowdfunding. KDD Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu
2016	J	`jnl`	From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring. ACM Trans. Web Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan
2016	A*	`conf`	Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. AAAI Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang
2016	—	`conf`	Personal Credit Profiling via Latent User Behavior Dimensions on Social Media. PAKDD (2) Guangming Guo, Feida Zhu, Enhong Chen, Le Wu, Qi Liu, Yingling Liu, Minghui Qiu
2016	—	`conf`	Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View. DASFAA (2) Ming He, Yong Ge, Le Wu, Enhong Chen, Chang Tan
2016	J	`jnl`	Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations. ACM Trans. Intell. Syst. Technol. Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie
2016	A*	`conf`	Selecting Valuable Customers for Merchants in E-Commerce Platforms. ICDM Yijun Wang, Le Wu, Zongda Wu, Enhong Chen, Qi Liu
2015	—	`conf`	Identifying Hesitant and Interested Customers for Targeted Social Marketing. PAKDD (1) Guowei Ma, Qi Liu, Le Wu, Enhong Chen
2015	—	`conf`	Predicting Smartphone Adoption in Social Networks. PAKDD (1) Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui
2015	A	`conf`	Product Adoption Rate Prediction: A Multi-factor View. SDM Le Wu, Qi Liu, Enhong Chen, Xing Xie, Chang Tan
2014	A*	`conf`	Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management. ICDM Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen
2013	C	`conf`	Multi-Label Classification with Unlabeled Data: An Inductive Approach. ACML Le Wu, Min-Ling Zhang
2013	—	`conf`	Utilizing Social and Behavioral Neighbors for Personalized Recommendation. ISNN (2) Gang Xu, Linli Xu, Le Wu
2012	A	`conf`	Leveraging tagging for neighborhood-aware probabilistic matrix factorization. CIKM Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang