Fei Sun
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
112
Venues
35
Active years
2002–2026
Best venue rank
A*
Where they publish
- A*ACL14 papers
- A*WWW10 papers
- A*EMNLP8 papers
- ACIKM8 papers
- A*SIGIR7 papers
- A*CVPR6 papers
- ARecSys6 papers
- A*AAAI5 papers
- A*IJCAI5 papers
- A*KDD4 papers
- BDASFAA3 papers
- BVTC3 papers
- CISCAS3 papers
- A*ISCA2 papers
- A*ICML2 papers
- A*DAC2 papers
- A*ICDE2 papers
- AWSDM2 papers
- BGLOBECOM2 papers
- NationalVLSID2 papers
- AICCAD2 papers
- ANAACL1 paper
- AWACV1 paper
- BISPASS1 paper
- A*HRI1 paper
- A*ASPLOS1 paper
- NationalHCI1 paper
- A*ICLR1 paper
- BICTAI1 paper
- BIJCNN1 paper
- BPAKDD1 paper
- A*HPCA1 paper
- BWCNC1 paper
- ADATE1 paper
- ARTSS1 paper
Papers
112 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | LiR3AG: A Lightweight Rerank Reasoning Strategy Framework for Retrieval-Augmented Generation. | Guo Chen, Junjie Huang, Huaijin Xie, Fei Sun, Tao Jia |
| 2026 | AAAI | AuditAgent: LLM Agent for Risks Auditing in Recommender Systems. | Du Su, Zhenxing Chen, Shilong Zhao, Yuanhao Liu, Fei Sun, Qi Cao, Huawei Shen |
| 2026 | ACL | Steering Away from Refusal: A Black-box Jailbreak Method Based on First-Token Distribution. | Shuangjie Fu, Du Su, Xin Chen, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2026 | ACL | EviReport: From Reasoned Outlines to Evidence Tracked Long-Form Reports. | Zihan Liu, Jianhui Li, Zexin Wang, Fei Sun, Jingjing Li, Zheyuan Li, Ke Xiang, Hang Cui, Houhua Gong, Changhua Pei, Gaogang Xie |
| 2026 | ACL | BaseCal: Unsupervised Confidence Calibration via Base Model Signals. | Hexiang Tan, Wanli Yang, Junwei Zhang, Xin Chen, Rui Tang, Du Su, Jingang Wang, Yuanzhuo Wang, Fei Sun, Xueqi Cheng |
| 2026 | ACL | The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis. | Zihao Wei, Liang Pang, Jiahao Liu, Wenjie Shi, Jingcheng Deng, Shicheng Xu, Zenghao Duan, Jingang Wang, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2026 | ISCA | Five-Minute Rule 40 Years Later: A First-Principles Revisit for Modern Memory Hierarchy. | Tong Zhang, Vikram Sharma Mailthody, Fei Sun, Linsen Ma, Chris J. Newburn, Teresa Zhang, Yang Liu, Jiangpeng Li, Hao Zhong, Wen-Mei Hwu |
| 2026 | WWW | Multi-Behavior Sequential Modeling with Transition-Aware Graph Attention Network for E-Commerce Recommendation. | Hanqi Jin, Gaoming Yang, Zhangming Chan, Yapeng Yuan, Longbin Li, Fei Sun, Yeqiu Yang, Jian Wu, Yuning Jiang, Bo Zheng |
| 2026 | WWW | The 2nd Workshop on Human-Centered Recommender Systems. | Kaike Zhang, Jiakai Tang, Du Su, Shuchang Liu, Julian J. McAuley, Lina Yao, Qi Cao, Yue Feng, Fei Sun |
| 2026 | WWW | Interaction-level Membership Inference Attack for Recommender Systems via Cluster-based User Modeling. | Danyang Zong, Kaike Zhang, Qi Cao, Du Su, Fei Sun |
| 2026 | SIGIR | AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation. | Kaike Zhang, Qi Cao, Fei Sun, Xinran Liu, Huawei Shen, Xueqi Cheng |
| 2025 | ACL | Low-Entropy Watermark Detection via Bayes' Rule Derived Detector. | Beining Huang, Du Su, Fei Sun, Qi Cao, Huawei Shen, Xueqi Cheng |
| 2025 | ACL | InductionBench: LLMs Fail in the Simplest Complexity Class. | Wenyue Hua, Tyler Wong, Fei Sun, Liangming Pan, Adam Jardine, William Yang Wang |
| 2025 | ACL | The Mirage of Model Editing: Revisiting Evaluation in the Wild. | Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng |
| 2025 | EMNLP | Detecting Stealthy Backdoor Samples based on Intra-class Distance for Large Language Models. | Jinwen Chen, Hainan Zhang, Fei Sun, Qinnan Zhang, Sijia Wen, Ziwei Wang, Zhiming Zheng |
| 2025 | EMNLP | Jailbreak LLMs through Internal Stance Manipulation. | Shuangjie Fu, Du Su, Beining Huang, Fei Sun, Jingang Wang, Wei Chen, Huawei Shen, Xueqi Cheng |
| 2025 | EMNLP | Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs. | Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng |
| 2025 | ICML | Reinforced Lifelong Editing for Language Models. | Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang |
| 2025 | ICML | KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks. | Quan Zhou, Changhua Pei, Fei Sun, Jing Han, Zhengwei Gao, Haiming Zhang, Gaogang Xie, Dan Pei, Jianhui Li |
| 2025 | NAACL | PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree. | Xiang Li, Zhiyi Yin, Hexiang Tan, Shaoling Jing, Du Su, Yi Cheng, Huawei Shen, Fei Sun |
| 2025 | WWW | Personalized Denoising Implicit Feedback for Robust Recommender System. | Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2025 | WWW | The 1st Workshop on Human-Centered Recommender Systems. | Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun |
| 2025 | SIGIR | Fact-Level Calibration and Correction for Long-Form Generations. | Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng |
| 2025 | WACV | Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation. | Pinrui Yu, Zhenglun Kong, Pu Zhao, Peiyan Dong, Hao Tang, Fei Sun, Xue Lin, Yanzhi Wang |
| 2024 | AAAI | PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. | Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | ACL | Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. | Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra |
| 2024 | ACL | Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? | Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng |
| 2024 | ACL | When to Trust LLMs: Aligning Confidence with Response Quality. | Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding |
| 2024 | ACL | The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. | Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng |
| 2024 | CVPR | EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. | Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra |
| 2024 | CVPR | TEA: Test-Time Energy Adaptation. | Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | DASFAA | History Driven Sampling for Scalable Graph Neural Networks. | Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2024 | EMNLP | The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. | Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen |
| 2024 | EMNLP | Pruning Foundation Models for High Accuracy without Retraining. | Pu Zhao, Fei Sun, Xuan Shen, Pinrui Yu, Zhenglun Kong, Yanzhi Wang, Xue Lin |
| 2024 | ISPASS | Generative AI Beyond LLMs: System Implications of Multi-Modal Generation. | Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu |
| 2024 | RecSys | MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations. | Yuezihan Jiang, Changyu Li, Gaode Chen, Peiyi Li, Qi Zhang, Jingjian Lin, Peng Jiang, Fei Sun, Wentao Zhang |
| 2024 | RecSys | Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. | Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen |
| 2024 | RecSys | Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. | Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | WWW | Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. | Xuhui Jiang, Chengjin Xu, Yinghan Shen, Yuanzhuo Wang, Fenglong Su, Zhichao Shi, Fei Sun, Zixuan Li, Jian Guo, Huawei Shen |
| 2024 | WWW | Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. | Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen |
| 2024 | SIGIR | LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. | Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2023 | EMNLP | ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation. | Kun Zhang, Xiexiong Lin, Yuanzhuo Wang, Xin Zhang, Fei Sun, Jianhe Cen, Hexiang Tan, Xuhui Jiang, Huawei Shen |
| 2023 | HRI | Reimagining Robots for Dementia: From Robots for Care-receivers/giver to Robots for Carepartners. | Hee Rin Lee, Fei Sun, Tariq Iqbal, Brenda Roberts |
| 2022 | ACL | Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation. | Zefeng Cai, Linlin Wang, Gerard de Melo, Fei Sun, Liang He |
| 2022 | ASPLOS | A one-for-all and | Bangyan Wang, Lei Deng, Fei Sun, Guohao Dai, Liu Liu, Yu Wang, Yuan Xie |
| 2022 | CVPR | CHEX: CHannel EXploration for CNN Model Compression. | Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung |
| 2022 | DAC | Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning. | Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie |
| 2022 | DASFAA | XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System. | Fuyu Lv, Mengxue Li, Tonglei Guo, Changlong Yu, Fei Sun, Taiwei Jin, Wilfred Ng |
| 2022 | HCI | Study on the Deep Learning Product Classification Based on the Motivation of Consumers. | Fei Sun, Ding-Bang Luh, Yu-Lin Zhao, Yue Sun |
| 2022 | ICDE | Contrastive Learning for Sequential Recommendation. | Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui |
| 2022 | ICLR | Effective Model Sparsification by Scheduled Grow-and-Prune Methods. | Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie |
| 2022 | IJCAI | Neural Re-ranking in Multi-stage Recommender Systems: A Review. | Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang |
| 2022 | ICTAI | Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. | Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie |
| 2022 | KDD | Debiasing Learning for Membership Inference Attacks Against Recommender Systems. | Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren |
| 2022 | WWW | Recommendation Unlearning. | Chong Chen, Fei Sun, Min Zhang, Bolin Ding |
| 2021 | CIKM | CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. | Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding |
| 2021 | DASFAA | Graph Attention Collaborative Similarity Embedding for Recommender System. | Jinbo Song, Chao Chang, Fei Sun, Zhenyang Chen, Guoyong Hu, Peng Jiang |
| 2021 | EMNLP | Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. | Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding |
| 2021 | ICDE | Explore User Neighborhood for Real-time E-commerce Recommendation. | Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui |
| 2021 | WWW | Variation Control and Evaluation for Generative Slate Recommendations. | Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang |
| 2021 | SIGIR | Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. | Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam |
| 2021 | WSDM | Towards Long-term Fairness in Recommendation. | Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang |
| 2020 | AAAI | Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization. | Min Yang, Chengming Li, Fei Sun, Zhou Zhao, Ying Shen, Chenglin Wu |
| 2020 | CIKM | Improving End-to-End Sequential Recommendations with Intent-aware Diversification. | Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke |
| 2020 | CIKM | MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. | Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou |
| 2020 | CIKM | Ranking Enhanced Dialogue Generation. | Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng |
| 2020 | CVPR | Learning in the Frequency Domain. | Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, Fengbo Ren |
| 2020 | DAC | INVITED: Computation on Sparse Neural Networks and its Implications for Future Hardware. | Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie |
| 2020 | IJCAI | Intent Preference Decoupling for User Representation on Online Recommender System. | Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen |
| 2020 | IJCNN | SPSN: Seed Point Selection Network in Point Cloud Instance Segmentation. | Fei Sun, Yangjie Xu, Weidong Sun |
| 2020 | ISCA | MLPerf Inference Benchmark. | Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou |
| 2020 | KDD | Privileged Features Distillation at Taobao Recommendations. | Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Fei Sun, Jian Wu, Hanxiao Sun, Wenwu Ou |
| 2020 | PAKDD | Node Conductance: A Scalable Node Centrality Measure on Big Networks. | Tianshu Lyu, Fei Sun, Yan Zhang |
| 2020 | SIGIR | Learning Personalized Risk Preferences for Recommendation. | Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang |
| 2020 | SIGIR | Understanding Echo Chambers in E-commerce Recommender Systems. | Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang |
| 2020 | WSDM | NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. | Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke |
| 2019 | ACL | Improving Multi-turn Dialogue Modelling with Utterance ReWriter. | Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou |
| 2019 | CIKM | SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. | Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng |
| 2019 | CIKM | BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. | Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang |
| 2019 | CVPR | ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation. | Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha |
| 2019 | CVPR | FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. | Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer |
| 2019 | HPCA | Machine Learning at Facebook: Understanding Inference at the Edge. | Carole-Jean Wu, David Brooks, Kevin Chen, Douglas Chen, Sy Choudhury, Marat Dukhan, Kim M. Hazelwood, Eldad Isaac, Yangqing Jia, Bill Jia, Tommer Leyvand, Hao Lu, Yang Lu, Lin Qiao, Brandon Reagen, Joe Spisak, Fei Sun, Andrew Tulloch, Peter Vajda, Xiaodong Wang, Yanghan Wang, Bram Wasti, Yiming Wu, Ran Xian, Sungjoo Yoo, Peizhao Zhang |
| 2019 | IJCAI | Deep Session Interest Network for Click-Through Rate Prediction. | Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang |
| 2019 | IJCAI | Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks. | Yun Wang, Lun Du, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin, Fei Sun |
| 2019 | KDD | POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. | Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao |
| 2019 | KDD | Exact-K Recommendation via Maximal Clique Optimization. | Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu |
| 2019 | RecSys | A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation. | Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang |
| 2019 | RecSys | Compositional network embedding for link prediction. | Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang |
| 2019 | RecSys | Personalized re-ranking for recommendation. | Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Junfeng Ge, Wenwu Ou, Dan Pei |
| 2019 | WWW | Value-aware Recommendation based on Reinforcement Profit Maximization. | Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang |
| 2018 | CIKM | Multi-Source Pointer Network for Product Title Summarization. | Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang |
| 2018 | CIKM | Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning. | Qiaolin Xia, Peng Jiang, Fei Sun, Yi Zhang, Xiaobo Wang, Zhifang Sui |
| 2018 | GLOBECOM | Reinforcement Learning Based Computation Migration for Vehicular Cloud Computing. | Fei Sun, Nan Cheng, Shan Zhang, Haibo Zhou, Lin Gui, Xuemin Shen |
| 2017 | VTC | Load Balancing Oriented Computation Offloading in Mobile Cloudlet. | Danhui Yao, Lin Gui, Fen Hou, Fei Sun, Daihui Mo, Hangguan Shan |
| 2016 | AAAI | Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations. | Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2016 | IJCAI | Sparse Word Embeddings Using ℓ | Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2015 | ACL | Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations. | Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2015 | EMNLP | Component-Enhanced Chinese Character Embeddings. | Yanran Li, Wenjie Li, Fei Sun, Sujian Li |
| 2015 | GLOBECOM | Engineering Link Utilization in Cellular Offloading Oriented VANETs. | Jiacheng Chen, Bo Liu, Lin Gui, Fei Sun, Haibo Zhou |
| 2013 | VTC | A Low Complexity UWB Localization Algorithm Using Finite-Resolution Quantization. | Fei Sun, Yanlong Zhang, Huarui Yin, Weidong Wang |
| 2013 | WCNC | Bounds on performance of UWB TOA estimation using finite resolution quantization. | Fei Sun, Huarui Yin, Weidong Wang |
| 2012 | DATE | Automatic generation of functional models for embedded processor extensions. | Fei Sun |
| 2011 | VTC | Ranging Implementation Using Finite-Resolution Digital Receiver for IEEE 802.15.4a Systems. | Fei Sun, Huarui Yin, Weidong Wang |
| 2011 | SIGIR | DOM based content extraction via text density. | Fei Sun, Dandan Song, Lejian Liao |
| 2008 | ISCAS | Energy-efficient soft-output trellis decoder design using trellis quasi-reduction and importance-aware clock skew scheduling. | Yang Liu, Fei Sun, Tong Zhang |
| 2008 | RTSS | A Holistic Approach to Decentralized Structural Damage Localization Using Wireless Sensor Networks. | Gregory Hackmann, Fei Sun, Nestor E. Castaneda, Chenyang Lu, Shirley Dyke |
| 2006 | ISCAS | Multilevel flash memory on-chip error correction based on trellis coded modulation. | Fei Sun, Siddharth Devarajan, Kenneth Rose, Tong Zhang |
| 2006 | ISCAS | Low power state-parallel relaxed adaptive Viterbi decoder design and implementation. | Fei Sun, Tong Zhang |
| 2006 | VLSID | Hybrid Custom Instruction and Co-Processor Synthesis Methodology for Extensible Processors. | Fei Sun, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha |
| 2005 | VLSID | Synthesis of Application-Specific Heterogeneous Multiprocessor Architectures Using Extensible Processors. | Fei Sun, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha |
| 2003 | ICCAD | A Scalable Application-Specific Processor Synthesis Methodology. | Fei Sun, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha |
| 2002 | ICCAD | Synthesis of custom processors based on extensible platforms. | Fei Sun, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha |