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ORCIDFei 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
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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, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng:
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, Changyu Li, Gaode Chen, Peiyi Li, Qi Zhang, Jingjian Lin, Peng Jiang, Fei Sun, Wentao Zhang:
MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations. RecSys 2024: 538-548 - [c44]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. RecSys 2024: 680-689 - [c43]Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen:
Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. RecSys 2024: 701-711 - [c42]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. SIGIR 2024: 1733-1742 - [c41]Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen:
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. WWW (Companion Volume) 2024: 489-492 - [c40]Xuhui Jiang, Chengjin Xu, Yinghan Shen, Yuanzhuo Wang, Fenglong Su, Zhichao Shi, Fei Sun, Zixuan Li, Jian Guo, Huawei Shen:
Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. WWW 2024: 2325-2336 - [i49]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) - [i48]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) - [i47]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) - [i46]Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen:
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. CoRR abs/2402.10695 (2024) - [i45]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) - [i44]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) - [i43]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) - [i42]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) - [i41]Yige Yuan, Bingbing Xu, Teng Xiao, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
MITA: Bridging the Gap between Model and Data for Test-time Adaptation. CoRR abs/2410.09398 (2024) - [i40]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. CoRR abs/2410.22844 (2024) - [i39]Quan Zhou, Changhua Pei, Fei Sun, Jing Han, Zhengwei Gao, Dan Pei, Haiming Zhang, Gaogang Xie, Jianhui Li:
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks. CoRR abs/2411.00278 (2024) - 2023
- [j8]Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, Bin Cui:
Graph Neural Networks in Recommender Systems: A Survey. ACM Comput. Surv. 55(5): 97:1-97:37 (2023) - [j7]Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Fei Sun, Xueqi Cheng:
Adversarial camouflage for node injection attack on graphs. Inf. Sci. 649: 119611 (2023) - [j6]Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding:
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, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke:
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, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren:
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, Bolin Ding:
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, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam:
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. SIGIR 2021: 1431-1441 - [c30]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. 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, Fei Sun, Xiaoyong Yang, Chen Xu, Wenwu Ou, Yan 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, Fei Sun, Zhou Zhao, Ying Shen, Chenglin Wu:
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, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang:
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, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin, Fei Sun:
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, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao:
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. KDD 2019: 2662-2670 - [c11]Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Junfeng Ge, Wenwu Ou, Dan Pei:
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, Peng Jiang, Wenwu Ou, Yan Zhang:
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, Xiaobo Wang, Zhifang Sui:
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, Xueqi Cheng:
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
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