Xianfeng Tang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 68

Top Topics

Hierarchical Reinforcement Learning

Top Venues

Publications

Xianfeng Tang, Shuwei Zhao
The application prospects of robot pose estimation technology: exploring new directions based on YOLOv8-ApexNet. Frontiers Neurorobotics 18 (2024)
Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang
The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) (2024)
Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. CoRR (2024)
Haoyu Han, Juanhui Li, Wei Huang, Xianfeng Tang, Hanqing Lu, Chen Luo, Hui Liu, Jiliang Tang
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach. CoRR (2024)
Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao
LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. ICDE (2024)
Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. ACL (Findings) (2024)
Zhenwei Dai, Chen Luo, Zhen Li, Xianfeng Tang, Hanqing Lu, Rahul Goutam, Haiyang Zhang
RA-NER: Retrieval augmented NER for knowledge intensive named entity recognition. Tiny Papers @ ICLR (2024)
Hanqing Lu, Xianfeng Tang, Chen Luo, Limeng Cui, Zhenwei Dai, Rahul Goutam, Haiyang Zhang, Monica Xiao Cheng
Session-Aware Product filter Ranking in E- Commerce Search. Tiny Papers @ ICLR (2024)
Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. ICLR (2024)
Chen Liang, Haoming Jiang, Zheng Li, Xianfeng Tang, Bing Yin, Tuo Zhao
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers. ICLR (2023)
Chen Liang, Haoming Jiang, Zheng Li, Xianfeng Tang, Bin Yin, Tuo Zhao
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers. CoRR (2023)
Yunfei Shi, Bin Wang, Yanwei Yu, Xianfeng Tang, Chao Huang, Junyu Dong
Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE. Knowl. Based Syst. 275 (2023)
Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. KDD (2023)
Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Cheng, Bing Yin, Suhang Wang, Philip S. Yu
Exploiting Intent Evolution in E-commercial Query Recommendation. KDD (2023)
Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao
LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. KDD (2023)
Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Cheng, Bing Yin, Suhang Wang
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. CoRR (2023)
Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang, Junjie Xu, Hui Liu, Suhang Wang
Self-Explainable Graph Neural Networks for Link Prediction. CoRR (2023)
Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. CoRR (2023)
Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. NeurIPS (2023)
Huaisheng Zhu, Xianfeng Tang, Tianxiang Zhao, Suhang Wang
You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network. PAKDD (2) (2023)
Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang
Language Models As Semantic Indexers. CoRR (2023)
Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
Jointly Attacking Graph Neural Network and its Explanations. ICDE (2023)
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
Task-Agnostic Graph Explanations. NeurIPS (2022)
Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang
AutoGDA: Automated Graph Data Augmentation for Node Classification. LoG (2022)
Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee
ALLIE: Active Learning on Large-scale Imbalanced Graphs. WWW (2022)
Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin
Condensing Graphs via One-Step Gradient Matching. KDD (2022)
Simiao Zuo, Haoming Jiang, Qingyu Yin, Xianfeng Tang, Bing Yin, Tuo Zhao
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks. CoRR (2022)
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
Task-Agnostic Graph Explanations. CoRR (2022)
Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah
Friend Story Ranking with Edge-Contextual Local Graph Convolutions. WSDM (2022)
Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bin Ying
Condensing Graphs via One-Step Gradient Matching. CoRR (2022)
Haoming Jiang, Tianyu Cao, Zheng Li, Chen Luo, Xianfeng Tang, Qingyu Yin, Danqing Zhang, Rahul Goutam, Bing Yin
Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding. CoRR (2022)
Chenyan Wu, Yandong Li, Xianfeng Tang, James Z. Wang
MUG: Multi-human Graph Network for 3D Mesh Reconstruction from 2D Pose. CoRR (2022)
Ke Bai, Zhibin Luo, Dongdong Zou, Wei Wang, Qi Sui, Xianfeng Tang, Fan Li, Zhaohui Li
Quantization Noise Suppression with Noise-shaping Technique in DMT-modulated IM/DD Optical Interconnects utilizing Low-resolution DAC. OFC (2021)
Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang
Semi-Supervised Graph-to-Graph Translation. CoRR (2021)
Tsung-Yu Hsieh, Yiwei Sun, Xianfeng Tang, Suhang Wang, Vasant G. Honavar
SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series. WWW (2021)
Yanwei Yu, Xianfeng Tang, Huaxiu Yao, Xiuwen Yi, Zhenhui Li
Citywide Traffic Volume Inference with Surveillance Camera Records. IEEE Trans. Big Data 7 (6) (2021)
Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
Jointly Attacking Graph Neural Network and its Explanations. CoRR (2021)
Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang
Semi-Supervised Graph-to-Graph Translation. CIKM (2020)
Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. AAAI (2020)
Peng Lv, Yanwei Yu, Yangyang Fan, Xianfeng Tang, Xiangrong Tong
Layer-constrained variational autoencoding kernel density estimation model for anomaly detection. Knowl. Based Syst. 196 (2020)
Xianfeng Tang, Peining Zhen, Ming Kang, Hang Yi, Wei Wang, Hai-Bao Chen
Learning Enriched Features for Video Denoising with Convolutional Neural Network. APCCAS (2020)
Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
Graph Structure Learning for Robust Graph Neural Networks. CoRR (2020)
Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang
Transferring Robustness for Graph Neural Network Against Poisoning Attacks. WSDM (2020)
Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. CoRR (2020)
Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach. WWW (2020)
Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. KDD (2020)
Kai Chen, Yanwei Yu, Peng Song, Xianfeng Tang, Lei Cao, Xiangrong Tong
Find you if you drive: Inferring home locations for vehicles with surveillance camera data. Knowl. Based Syst. 196 (2020)
Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks. CIKM (2020)
Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
Graph Convolutional Networks against Degree-Related Biases. CoRR (2020)
Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
Graph Structure Learning for Robust Graph Neural Networks. KDD (2020)
Nan Cui, Xiaoguang Zhang, Nannan Zhang, Xianfeng Tang, Lixia Xi
True Equalization of PDL in Presence of Fast RSOP. OFC (2020)
Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
Node Injection Attacks on Graphs via Reinforcement Learning. CoRR (2019)
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. CoRR (2019)
Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. WWW (2019)
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. IJCAI (2019)
Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. CoRR (2019)
Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. CoRR (2019)
Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction. AAAI (2019)
Hongjian Wang, Xianfeng Tang, Yu-Hsuan Kuo, Daniel Kifer, Zhenhui Li
A Simple Baseline for Travel Time Estimation using Large-scale Trip Data. ACM Trans. Intell. Syst. Technol. 10 (2) (2019)
Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. CoRR (2019)
Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. WWW (2019)
Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang
Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning. CoRR (2019)
Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. CoRR (2018)
Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. AAAI (2018)
Yanwei Yu, Huaxiu Yao, Hongjian Wang, Xianfeng Tang, Zhenhui Li
Representation Learning for Large-Scale Dynamic Networks. DASFAA (2) (2018)
Yuepeng Shi, Xianfeng Tang, Xiaoliang Feng, Dingjun Bian, Xizhao Zhou
Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise. Sensors 18 (12) (2018)
Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Yanwei Yu, Zhenhui Li
Modeling Spatial-Temporal Dynamics for Traffic Prediction. CoRR (2018)
Xuekun Zhang, Hongxia Bie, Qianwen Ye, Chunyang Lei, Xianfeng Tang
Dual-Mode Index Modulation Aided OFDM With Constellation Power Allocation and Low-Complexity Detector Design. IEEE Access 5 (2017)
Arshad Chowdhury, Hung-Chang Chien, Sourabh Khire, Shu-Hao Fan, Xianfeng Tang, Nikil Jayant, Gee-Kung Chang
Next-generation E-health communication infrastructure using converged super-broadband optical and wireless access system. WOWMOM (2010)
Lixia Xi, Xianfeng Tang, Shaokang Wang, Xiaoguang Zhang
Optimization of Phase Regenerator in Differential Phase-Shift Keying Format Communication System. CSO (1) (2009)