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2020 – today
- 2024
[j58]Jing Zhang
, Chao Zhang, Shuai Xu, Guiyi Liu, Hongbo Fei, Le Wu:
Remaining Life Prediction of Bearings Based on Improved IF-SCINet. IEEE Access 12: 19598-19611 (2024)- [j57]Guiyi Liu, Chao Zhang, Shuai Xu, Jing Zhang, Le Wu:
A New Lightweight Fault Diagnosis Framework Towards Variable Speed Rolling Bearings. IEEE Access 12: 70170-70183 (2024) - [j56]Le Wu, Aiping Liu, Chang Li, Xun Chen:
Enhancing EEG artifact removal through neural architecture search with large kernels. Adv. Eng. Informatics 62: 102831 (2024) - [j55]Kun Zhang, Dacao Zhang, Le Wu, Richang Hong, Ye Zhao, Meng Wang:
Label-aware debiased causal reasoning for Natural Language Inference. AI Open 5: 70-78 (2024) - [j54]Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, Enhong Chen:
Understanding and improving fairness in cognitive diagnosis. Sci. China Inf. Sci. 67(5) (2024) - [j53]Jun Sun, Le Wu, Nan Fang, Lifeng Liu:
IFM calculator: An algorithm for interfragmentary motion calculation in finite element analysis. Comput. Methods Programs Biomed. 244: 107996 (2024) - [j52]Yu Su, Shuanghong Shen, Linbo Zhu, Le Wu, Zhenya Huang, Zeyu Cheng, Qi Liu, Shijin Wang:
Global and local neural cognitive modeling for student performance prediction. Expert Syst. Appl. 237(Part C): 121637 (2024) - [j51]Junwei Li, Le Wu, Yulu Du, Richang Hong, Weisheng Li:
Dual Graph Neural Networks for Dynamic Users' Behavior Prediction on Social Networking Services. IEEE Trans. Comput. Soc. Syst. 11(5): 7020-7031 (2024) - [j50]Peijie Sun, Le Wu, Kun Zhang, Xiangzhi Chen, Meng Wang:
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 36(5): 2069-2081 (2024) - [j49]Yonghui Yang, Le Wu, Kun Zhang, Richang Hong, Hailin Zhou, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Hyperbolic Graph Learning for Social Recommendation. IEEE Trans. Knowl. Data Eng. 36(12): 8488-8501 (2024) - [j48]Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen:
Color Enhanced Cross Correlation Net for Image Sentiment Analysis. IEEE Trans. Multim. 26: 4097-4109 (2024) - [j47]Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Description-Enhanced Label Embedding Contrastive Learning for Text Classification. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14889-14902 (2024) - [j46]Fei Liu, Chenyang Bu, Haotian Zhang, Le Wu, Kui Yu, Xuegang Hu:
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. ACM Trans. Inf. Syst. 42(5): 139:1-139:26 (2024) - [j45]Pengyang Shao, Le Wu, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang:
Average User-Side Counterfactual Fairness for Collaborative Filtering. ACM Trans. Inf. Syst. 42(5): 140:1-140:26 (2024) - [j44]Le Wu, Liji Wu, Xiangmin Zhang, Munkhbaatar Chinbat:
Dual-Rail Precharge Logic-Based Side-Channel Countermeasure for DNN Systolic Array. IEEE Trans. Very Large Scale Integr. Syst. 32(9): 1740-1743 (2024) - [c82]Lanjun Wang, Zehao Wang, Le Wu, An-An Liu:
Bots Shield Fake News: Adversarial Attack on User Engagement based Fake News Detection. CIKM 2024: 2369-2378 - [c81]Junsong Xie, Yonghui Yang, Zihan Wang, Le Wu:
Learning Fair Representations for Recommendation via Information Bottleneck Principle. IJCAI 2024: 2469-2477 - [c80]Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang, Meng Wang:
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias. KDD 2024: 187-198 - [c79]Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang:
Double Correction Framework for Denoising Recommendation. KDD 2024: 1062-1072 - [c78]Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang:
Graph Bottlenecked Social Recommendation. KDD 2024: 3853-3862 - [c77]Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang:
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. KDD 2024: 4143-4154 - [c76]Jingwei Liu, Zhan Su, Le Wu, Lei Shi, Lihua Chi, Xujun Pan, Sam Huang, Yu Ning, Zhigang Gong:
Pass-Through ELSFP with Optional Integrated Optical Mux and Demux for Colorless CPO Systems. OFC 2024: 1-3 - [c75]Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang:
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation. SIGIR 2024: 677-686 - [i35]Peijie Sun, Le Wu, Kun Zhang, Xiangzhi Chen, Meng Wang:
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. CoRR abs/2402.11523 (2024) - [i34]Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang:
Double Correction Framework for Denoising Recommendation. CoRR abs/2405.11272 (2024) - [i33]Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang:
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation. CoRR abs/2405.15783 (2024) - [i32]Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang, Meng Wang:
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias. CoRR abs/2405.20718 (2024) - [i31]Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang:
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. CoRR abs/2406.03064 (2024) - [i30]Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang:
Graph Bottlenecked Social Recommendation. CoRR abs/2406.08214 (2024) - [i29]Zhuangzhuang He, Zihan Wang, Yonghui Yang, Haoyue Bai, Le Wu:
Boosting Multimedia Recommendation via Separate Generic and Unique Awareness. CoRR abs/2406.08270 (2024) - [i28]Shengwei Ji, Yujie Tian, Fei Liu, Xinlu Li, Le Wu:
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs. CoRR abs/2410.10089 (2024) - 2023
- [j43]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:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j42]Ming He, Yan Chen, Hongke Zhao, Qi Liu, Le Wu, Yu Cui, Guihua Zeng, Guiquan Liu:
Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry. J. Comput. Sci. Technol. 38(6): 1272-1287 (2023) - [j41]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:
RNADisease v4.0: an updated resource of RNA-associated diseases, providing RNA-disease analysis, enrichment and prediction. Nucleic Acids Res. 51(D1): 1397-1404 (2023) - [j40]Le Wu, Aiping Liu, Rabab K. Ward, Z. Jane Wang, Xun Chen:
Signal Processing for Brain-Computer Interfaces: A review and current perspectives. IEEE Signal Process. Mag. 40(5): 80-91 (2023) - [j39]Xi Chen, Yuanfei Xia, Yong Sun, Le Wu, Xiang Chen, Xun Chen, Xu Zhang:
Silent Speech Recognition Based on High-Density Surface Electromyogram Using Hybrid Neural Networks. IEEE Trans. Hum. Mach. Syst. 53(2): 335-345 (2023) - [j38]Kunpeng Liu, Yanjie Fu, Le Wu, Xiaolin Li, Charu Aggarwal, Hui Xiong:
Automated Feature Selection: A Reinforcement Learning Perspective. IEEE Trans. Knowl. Data Eng. 35(3): 2272-2284 (2023) - [j37]Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang:
A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4425-4445 (2023) - [j36]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang:
LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching. IEEE Trans. Neural Networks Learn. Syst. 34(2): 853-866 (2023) - [j35]Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong:
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation. ACM Trans. Inf. Syst. 41(2): 30:1-30:27 (2023) - [j34]Bin Wu, Xiangnan He, Le Wu, Xue Zhang, Yangdong Ye:
Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4039-4051 (2023) - [c74]Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang:
Fair Representation Learning for Recommendation: A Mutual Information Perspective. AAAI 2023: 4911-4919 - [c73]Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang:
Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. CIKM 2023: 2482-2491 - [c72]Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu:
Meta Multi-agent Exercise Recommendation: A Game Application Perspective. KDD 2023: 1441-1452 - [c71]Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang:
GoRec: A Generative Cold-start Recommendation Framework. ACM Multimedia 2023: 1004-1012 - [c70]Xiangzhi Chen, Le Wu, Fei Liu, Lei Chen, Kun Zhang, Richang Hong, Meng Wang:
Disentangling Cognitive Diagnosis with Limited Exercise Labels. NeurIPS 2023 - [c69]Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen:
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information. NeurIPS 2023 - [c68]Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Generative-Contrastive Graph Learning for Recommendation. SIGIR 2023: 1117-1126 - [c67]Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang:
Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. SIGIR 2023: 1188-1197 - [c66]Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen:
RecStudio: Towards a Highly-Modularized Recommender System. SIGIR 2023: 2890-2900 - [c65]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. WWW 2023: 1012-1020 - [i27]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. CoRR abs/2302.06333 (2023) - [i26]Kai Shu, Yuchang Zhao, Le Wu, Aiping Liu, Ruobing Qian, Xun Chen:
Data Augmentation for Seizure Prediction with Generative Diffusion Model. CoRR abs/2306.08256 (2023) - [i25]Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Description-Enhanced Label Embedding Contrastive Learning for Text Classification. CoRR abs/2306.08817 (2023) - [i24]Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Generative Contrastive Graph Learning for Recommendation. CoRR abs/2307.05100 (2023) - [i23]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:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - 2022
- [j33]Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen:
Detecting the universal adversarial perturbations on high-density sEMG signals. Comput. Biol. Medicine 149: 105978 (2022) - [j32]Pengyang Shao, Le Wu, Lei Chen, Kun Zhang, Meng Wang:
FairCF: fairness-aware collaborative filtering. Sci. China Inf. Sci. 65(12) (2022) - [j31]Le Wu, Xun Chen, Xiang Chen, Xu Zhang:
Rejecting Novel Motions in High-Density Myoelectric Pattern Recognition Using Hybrid Neural Networks. Frontiers Neurorobotics 16: 862193 (2022) - [j30]Yu Su, Zeyu Cheng, Jinze Wu, Yanmin Dong, Zhenya Huang, Le Wu, Enhong Chen, Shijin Wang, Fei Xie:
Graph-based cognitive diagnosis for intelligent tutoring systems. Knowl. Based Syst. 253: 109547 (2022) - [j29]Guangyi Lv, Kun Zhang, Le Wu, Enhong Chen, Tong Xu, Qi Liu, Weidong He:
Understanding the Users and Videos by Mining a Novel Danmu Dataset. IEEE Trans. Big Data 8(2): 535-551 (2022) - [j28]Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen:
Electrode Shift Robust CNN for High-Density Myoelectric Pattern Recognition Control. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j27]Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. IEEE Trans. Knowl. Data Eng. 34(10): 4753-4766 (2022) - [j26]Peijie Sun, Le Wu, Kun Zhang, Yu Su, Meng Wang:
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation. ACM Trans. Inf. Syst. 40(3): 63:1-63:29 (2022) - [c64]Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen:
Anisotropic Additive Quantization for Fast Inner Product Search. AAAI 2022: 4354-4362 - [c63]Kaifang Wu, Yonghui Yang, Kun Zhang, Le Wu, Jing Liu, Xin Li:
Multi-Relational Cognitive Diagnosis for Intelligent Education. CICAI (2) 2022: 425-437 - [c62]Haiping Ma, Manwei Li, Le Wu, Haifeng Zhang, Yunbo Cao, Xingyi Zhang, Xuemin Zhao:
Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms. CIKM 2022: 1451-1460 - [c61]Suchang Luo, Yonghui Yang, Kun Zhang, Peijie Sun, Le Wu, Richang Hong:
Self-Supervised Cross Domain Social Recommendation. ICCAI 2022: 286-292 - [c60]Chenyang Bu, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu:
Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion. ICDM 2022: 11-20 - [c59]Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang:
Incremental Cognitive Diagnosis for Intelligent Education. KDD 2022: 1760-1770 - [c58]Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu:
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. SIGIR 2022: 50-59 - [c57]Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen:
Forest-based Deep Recommender. SIGIR 2022: 523-532 - [c56]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. SIGIR 2022: 1164-1173 - [c55]Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li:
A Review-aware Graph Contrastive Learning Framework for Recommendation. SIGIR 2022: 1283-1293 - [c54]Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie:
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. WWW 2022: 2098-2108 - [i22]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. CoRR abs/2204.04724 (2022) - [i21]Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li:
A Review-aware Graph Contrastive Learning Framework for Recommendation. CoRR abs/2204.12063 (2022) - [i20]Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu:
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. CoRR abs/2204.12326 (2022) - [i19]Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong:
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation. CoRR abs/2210.07443 (2022) - 2021
- [j25]Bo Xue, Le Wu, Kun Wang, Xu Zhang, Juan Cheng, Xiang Chen, Xun Chen:
Multiuser gesture recognition using sEMG signals via canonical correlation analysis and optimal transport. Comput. Biol. Medicine 130: 104188 (2021) - [j24]Junwei Li, Le Wu, Richang Hong, Jinkui Hou:
Random walk based distributed representation learning and prediction on Social Networking Services. Inf. Sci. 549: 328-346 (2021) - [j23]Jianshan Sun, Mingyue Zhu, Yuanchun Jiang, Ye-Zheng Liu, Le Wu:
Hierarchical attention model for personalized tag recommendation. J. Assoc. Inf. Sci. Technol. 72(2): 173-189 (2021) - [j22]Le Wu, Xu Zhang, Xuan Zhang, Xiang Chen, Xun Chen:
Metric learning for novel motion rejection in high-density myoelectric pattern recognition. Knowl. Based Syst. 227: 107165 (2021) - [j21]Lu Yang, Ye-Zheng Liu, Yuanchun Jiang, Le Wu, Jianshan Sun:
Predicting personalized grouping and consumption: A collaborative evolution model. Knowl. Based Syst. 228: 107248 (2021) - [j20]Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
Collaborative Neural Social Recommendation. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 464-476 (2021) - [j19]Richang Hong, Yuan He, Le Wu, Yong Ge, Xindong Wu:
Deep Attributed Network Embedding by Preserving Structure and Attribute Information. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1434-1445 (2021) - [j18]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu:
Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3781-3795 (2021) - [c53]Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan:
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. AAAI 2021: 14411-14419 - [c52]Dan Lu, Le Wu, Rui Chen, Qilong Han, Yichen Wang, Yong Ge:
Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior. APWeb/WAIM (2) 2021: 384-398 - [c51]Jingyu Peng, Le Wu, Peijie Sun, Meng Wang:
Meta-learned ID Embeddings for Online Inductive Recommendation. CCIR 2021: 32-44 - [c50]Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xun Chen:
White-Box Attacks on the CNN-Based Myoelectric Control System. CICAI 2021: 149-157 - [c49]Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu:
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. CIKM 2021: 700-709 - [c48]Shan Wang, Le Wu, Qiaomin Gong:
The Collocations of Chinese Color Words. CLSW (1) 2021: 121-143 - [c47]Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang:
Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. SIGIR 2021: 71-80 - [c46]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang:
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. SIGIR 2021: 585-594 - [c45]Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang:
Privileged Graph Distillation for Cold Start Recommendation. SIGIR 2021: 1187-1196 - [c44]Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang:
Learning Fair Representations for Recommendation: A Graph-based Perspective. WWW 2021: 2198-2208 - [i18]Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang:
Learning Fair Representations for Bipartite Graph based Recommendation. CoRR abs/2102.09140 (2021) - [i17]Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang:
A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation. CoRR abs/2104.13030 (2021) - [i16]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang:
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. CoRR abs/2105.07377 (2021) - [i15]Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang:
Privileged Graph Distillation for Cold Start Recommendation. CoRR abs/2105.14975 (2021) - [i14]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang:
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching. CoRR abs/2108.02915 (2021) - 2020
- [j17]Ming He, Hao Guo, Guangyi Lv, Le Wu, Yong Ge, Enhong Chen, Haiping Ma:
Leveraging proficiency and preference for online Karaoke recommendation. Frontiers Comput. Sci. 14(2): 273-290 (2020) - [j16]Xin Jin, Le Wu, Geng Zhao, Xinghui Zhou, Xiaokun Zhang, Xiaodong Li:
IDEA: A new dataset for image aesthetic scoring. Multim. Tools Appl. 79(21-22): 14341-14355 (2020) - [j15]