default search action
Fei Sun 0001
Person information
- affiliation: Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
- affiliation (former): Alibaba Group, Beijing, China
Other persons with the same name
- Fei Sun — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c52]Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. AAAI 2024: 16614-16622 - [c51]Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng:
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. ACL (Findings) 2024: 5419-5437 - [c50]Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding:
When to Trust LLMs: Aligning Confidence with Response Quality. ACL (Findings) 2024: 5984-5996 - [c49]Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng:
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? ACL (1) 2024: 6207-6227 - [c48]Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
TEA: Test-Time Energy Adaptation. CVPR 2024: 23901-23911 - [c47]Yang Li
, Bingbing Xu
History Driven Sampling for Scalable Graph Neural Networks. DASFAA (6) 2024: 364-374 - [c46]Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen:
The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. EMNLP (Findings) 2024: 4079-4087 - [c45]Yuezihan Jiang
MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations. RecSys 2024: 538-548 - [c44]Kaike Zhang
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. RecSys 2024: 680-689 - [c43]Yunfan Wu
Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. RecSys 2024: 701-711 - [c42]Kaike Zhang
LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. SIGIR 2024: 1733-1742 - [c41]Jiajun Tan
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. WWW (Companion Volume) 2024: 489-492 - [c40]Xuhui Jiang
Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. WWW 2024: 2325-2336 - [i46]Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng:
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA? CoRR abs/2401.11911 (2024) - [i45]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks. CoRR abs/2401.17723 (2024) - [i44]Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng:
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. CoRR abs/2402.09656 (2024) - [i43]Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen:
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. CoRR abs/2402.10695 (2024) - [i42]Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding:
When to Trust LLMs: Aligning Confidence with Response Quality. CoRR abs/2404.17287 (2024) - [i41]Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen:
The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. CoRR abs/2406.11263 (2024) - [i40]Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen:
Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. CoRR abs/2408.10666 (2024) - [i39]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. CoRR abs/2409.17476 (2024) - 2023
- [j8]Shiwen Wu
Graph Neural Networks in Recommender Systems: A Survey. ACM Comput. Surv. 55(5): 97:1-97:37 (2023) - [j7]Shuchang Tao
Adversarial camouflage for node injection attack on graphs. Inf. Sci. 649: 119611 (2023) - [j6]Ziqian Chen
Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation. ACM Trans. Inf. Syst. 41(3): 60:1-60:26 (2023) - [c39]Kun Zhang, Xiexiong Lin, Yuanzhuo Wang, Xin Zhang, Fei Sun, Jianhe Cen, Hexiang Tan, Xuhui Jiang, Huawei Shen:
ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation. EMNLP (Findings) 2023: 664-673 - [i38]Xuhui Jiang, Chengjin Xu, Yinghan Shen, Fenglong Su, Yuanzhuo Wang, Fei Sun, Zixuan Li, Huawei Shen:
Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method. CoRR abs/2304.03468 (2023) - [i37]Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. CoRR abs/2305.15835 (2023) - [i36]Yue Feng, Shuchang Liu, Zhenghai Xue, Qingpeng Cai, Lantao Hu, Peng Jiang, Kun Gai, Fei Sun:
A Large Language Model Enhanced Conversational Recommender System. CoRR abs/2308.06212 (2023) - [i35]Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng:
Robust Recommender System: A Survey and Future Directions. CoRR abs/2309.02057 (2023) - [i34]Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
TEA: Test-time Energy Adaptation. CoRR abs/2311.14402 (2023) - 2022
- [j5]Wanyu Chen
Multi-interest Diversification for End-to-end Sequential Recommendation. ACM Trans. Inf. Syst. 40(1): 20:1-20:30 (2022) - [j4]Jiafeng Guo, Yinqiong Cai, Yixing Fan, Fei Sun, Ruqing Zhang, Xueqi Cheng:
Semantic Models for the First-Stage Retrieval: A Comprehensive Review. ACM Trans. Inf. Syst. 40(4): 66:1-66:42 (2022) - [c38]Fuyu Lv, Mengxue Li, Tonglei Guo, Changlong Yu, Fei Sun, Taiwei Jin, Wilfred Ng:
XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System. DASFAA (3) 2022: 364-376 - [c37]Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui:
Contrastive Learning for Sequential Recommendation. ICDE 2022: 1259-1273 - [c36]Zihan Wang
Debiasing Learning for Membership Inference Attacks Against Recommender Systems. KDD 2022: 1959-1968 - [c35]Chong Chen, Fei Sun, Min Zhang, Bolin Ding:
Recommendation Unlearning. WWW 2022: 2768-2777 - [i33]Chong Chen, Fei Sun, Min Zhang, Bolin Ding:
Recommendation Unlearning. CoRR abs/2201.06820 (2022) - [i32]Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding:
Proactively Control Privacy in Recommender Systems. CoRR abs/2204.00279 (2022) - [i31]Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren:
Debiasing Learning for Membership Inference Attacks Against Recommender Systems. CoRR abs/2206.12401 (2022) - [i30]Sihao Yu, Fei Sun, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
LegoNet: A Fast and Exact Unlearning Architecture. CoRR abs/2210.16023 (2022) - 2021
- [c34]Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui
CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. CIKM 2021: 4253-4263 - [c33]Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding:
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. EMNLP (Findings) 2021: 100-110 - [c32]Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui
Explore User Neighborhood for Real-time E-commerce Recommendation. ICDE 2021: 2464-2475 - [c31]Yang Deng
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. SIGIR 2021: 1431-1441 - [c30]Yingqiang Ge, Shuchang Liu, Ruoyuan Gao
Towards Long-term Fairness in Recommendation. WSDM 2021: 445-453 - [c29]Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang:
Variation Control and Evaluation for Generative Slate Recommendations. WWW 2021: 436-448 - [i29]Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang:
Towards Long-term Fairness in Recommendation. CoRR abs/2101.03584 (2021) - [i28]Yufei Feng, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou:
Revisit Recommender System in the Permutation Prospective. CoRR abs/2102.12057 (2021) - [i27]Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang:
Variation Control and Evaluation for Generative SlateRecommendations. CoRR abs/2102.13302 (2021) - [i26]Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui:
Explore User Neighborhood for Real-time E-commerce Recommendation. CoRR abs/2103.00442 (2021) - [i25]Yinqiong Cai, Yixing Fan, Jiafeng Guo, Fei Sun, Ruqing Zhang, Xueqi Cheng:
Semantic Models for the First-stage Retrieval: A Comprehensive Review. CoRR abs/2103.04831 (2021) - [i24]Yufei Feng, Binbin Hu, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou:
GRN: Generative Rerank Network for Context-wise Recommendation. CoRR abs/2104.00860 (2021) - [i23]Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam:
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. CoRR abs/2105.09710 (2021) - [i22]Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding:
CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation. CoRR abs/2105.13881 (2021) - [i21]Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding:
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. CoRR abs/2108.13134 (2021) - [i20]Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang:
Counterfactual Evaluation for Explainable AI. CoRR abs/2109.01962 (2021) - 2020
- [j3]Xiao Huang, Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke:
Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020. SIGIR Forum 54(1): 6:1-6:5 (2020) - [j2]Yuan Zhang
Graph-based Regularization on Embedding Layers for Recommendation. ACM Trans. Inf. Syst. 39(1): 2:1-2:27 (2020) - [c28]Min Yang, Chengming Li
Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization. AAAI 2020: 9410-9417 - [c27]Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke
Improving End-to-End Sequential Recommendations with Intent-aware Diversification. CIKM 2020: 175-184 - [c26]Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. CIKM 2020: 465-474 - [c25]Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou:
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. CIKM 2020: 2421-2428 - [c24]Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen:
Intent Preference Decoupling for User Representation on Online Recommender System. IJCAI 2020: 2575-2582 - [c23]Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Fei Sun, Jian Wu, Hanxiao Sun, Wenwu Ou:
Privileged Features Distillation at Taobao Recommendations. KDD 2020: 2590-2598 - [c22]Tianshu Lyu, Fei Sun, Yan Zhang:
Node Conductance: A Scalable Node Centrality Measure on Big Networks. PAKDD (2) 2020: 529-541 - [c21]Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang:
Learning Personalized Risk Preferences for Recommendation. SIGIR 2020: 409-418 - [c20]Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang:
Understanding Echo Chambers in E-commerce Recommender Systems. SIGIR 2020: 2261-2270 - [c19]Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke
NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. WSDM 2020: 907-908 - [i19]Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang:
Understanding Echo Chambers in E-commerce Recommender Systems. CoRR abs/2007.02474 (2020) - [i18]Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang:
Learning Personalized Risk Preferences for Recommendation. CoRR abs/2007.02478 (2020) - [i17]Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. CoRR abs/2008.05640 (2020) - [i16]Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou:
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. CoRR abs/2008.05673 (2020) - [i15]Fuyu Lv, Mengxue Li, Tonglei Guo, Changlong Yu, Fei Sun, Taiwei Jin, Keping Yang:
Unclicked User Behaviors Enhanced Sequential Recommendation. CoRR abs/2010.12837 (2020) - [i14]Xu Xie, Fei Sun, Zhaoyang Liu, Jinyang Gao, Bolin Ding, Bin Cui:
Contrastive Pre-training for Sequential Recommendation. CoRR abs/2010.14395 (2020) - [i13]Shiwen Wu, Wentao Zhang, Fei Sun, Bin Cui:
Graph Neural Networks in Recommender Systems: A Survey. CoRR abs/2011.02260 (2020)
2010 – 2019
- 2019
- [c18]Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou:
Improving Multi-turn Dialogue Modelling with Utterance ReWriter. ACL (1) 2019: 22-31 - [c17]Fei Sun
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. CIKM 2019: 1441-1450 - [c16]Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng:
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. CIKM 2019: 2635-2643 - [c15]Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang:
Deep Session Interest Network for Click-Through Rate Prediction. IJCAI 2019: 2301-2307 - [c14]Yun Wang, Lun Du
Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks. IJCAI 2019: 3799-3805 - [c13]Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu:
Exact-K Recommendation via Maximal Clique Optimization. KDD 2019: 617-626 - [c12]Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. KDD 2019: 2662-2670 - [c11]Changhua Pei, Yi Zhang
Personalized re-ranking for recommendation. RecSys 2019: 3-11 - [c10]Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang
A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation. RecSys 2019: 20-28 - [c9]Tianshu Lyu, Fei Sun
Compositional network embedding for link prediction. RecSys 2019: 388-392 - [c8]Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang:
Value-aware Recommendation based on Reinforcement Profit Maximization. WWW 2019: 3123-3129 - [i12]Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang:
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems. CoRR abs/1902.00851 (2019) - [i11]Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang:
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. CoRR abs/1904.06690 (2019) - [i10]Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou, Dan Pei:
Personalized Context-aware Re-ranking for E-commerce Recommender Systems. CoRR abs/1904.06813 (2019) - [i9]Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang:
Compositional Network Embedding. CoRR abs/1904.08157 (2019) - [i8]Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao:
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. CoRR abs/1905.01866 (2019) - [i7]Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang:
Deep Session Interest Network for Click-Through Rate Prediction. CoRR abs/1905.06482 (2019) - [i6]Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu:
Exact-K Recommendation via Maximal Clique Optimization. CoRR abs/1905.07089 (2019) - [i5]Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou:
Improving Multi-turn Dialogue Modelling with Utterance ReWriter. CoRR abs/1906.07004 (2019) - [i4]Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng:
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. CoRR abs/1909.00385 (2019) - 2018
- [c7]Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang:
Multi-Source Pointer Network for Product Title Summarization. CIKM 2018: 7-16 - [c6]Qiaolin Xia, Peng Jiang, Fei Sun, Yi Zhang
Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning. CIKM 2018: 1703-1706 - [i3]Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang:
Multi-Source Pointer Network for Product Title Summarization. CoRR abs/1808.06885 (2018) - 2016
- [c5]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations. AAAI 2016: 2821-2827 - [c4]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Sparse Word Embeddings Using ℓ1 Regularized Online Learning. IJCAI 2016: 2915-2921 - [i2]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Semantic Regularities in Document Representations. CoRR abs/1603.07603 (2016) - 2015
- [j1]Dandan Song, Fei Sun, Lejian Liao:
A hybrid approach for content extraction with text density and visual importance of DOM nodes. Knowl. Inf. Syst. 42(1): 75-96 (2015) - [c3]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations. ACL (1) 2015: 136-145 - [c2]Yanran Li, Wenjie Li, Fei Sun, Sujian Li:
Component-Enhanced Chinese Character Embeddings. EMNLP 2015: 829-834 - [i1]Yanran Li, Wenjie Li, Fei Sun, Sujian Li:
Component-Enhanced Chinese Character Embeddings. CoRR abs/1508.06669 (2015) - 2011
- [c1]Fei Sun, Dandan Song, Lejian Liao:
DOM based content extraction via text density. SIGIR 2011: 245-254
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-19 20:47 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: