Tong Chen

270 papers A* 55A 12B 4C 1Misc 1Journal 173Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
ARLIE: Adaptive Reinforcement Learning With Inductive Embeddings for Fully-Inductive Multi-Hop Reasoning Over Temporal Knowledge Graphs.
IEEE Trans. Knowl. Data Eng.
Shangfei Zheng, Yunjun Gao, An Liu, Wenhao Li, Tong Chen, Hongzhi Yin
2026 J jnl
Agentic Mixed-Source Multi-Modal Misinformation Detection with Adaptive Test-Time Scaling.
CoRR
Wei Jiang, Tong Chen, Wei Yuan, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 J jnl
DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph Condensation.
IEEE Trans. Knowl. Data Eng.
Xinyi Gao, Wenjie Li, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 A* conf
Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection.
WWW
Hung Vinh Tran, Tong Chen, Hechuan Wen, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2026 J jnl
Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection.
CoRR
Hung Vinh Tran, Tong Chen, Hechuan Wen, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2026 J jnl
Erratum: Lightweight Embeddings with Graph Rewiring for Collaborative Filtering.
ACM Trans. Inf. Syst.
Xurong Liang, Tong Chen, Wei Yuan, Hongzhi Yin
2026 J jnl
Evolutionary Router Feature Generation for Zero-Shot Graph Anomaly Detection with Mixture-of-Experts.
CoRR
Haiyang Jiang, Tong Chen, Xinyi Gao, Guansong Pang, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 J jnl
Generative Recall, Dense Reranking: Learning Multi-View Semantic IDs for Efficient Text-to-Video Retrieval.
CoRR
Zecheng Zhao, Zhi Chen, Zi Huang, Shazia Sadiq, Tong Chen
2026 J jnl
Integrating Vision-Centric Text Understanding for Conversational Recommender Systems.
CoRR
Wei Yuan, Shutong Qiao, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Hongzhi Yin
2026 J jnl
LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection.
CoRR
Dezheng Wang, Tong Chen, Guansong Pang, Congyan Chen, Shihua Li, Hongzhi Yin
2026 A* conf
PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection.
WWW
Zongwei Wang, Min Gao, Junliang Yu, Tong Chen, Chenghua Lin
2026 J jnl
PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Tong Chen, Chenghua Lin
2026 — conf
ProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation.
KDD (1)
Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin
2026 J jnl
Reasoning Pattern Alignment Merging for Adaptive Reasoning.
CoRR
Zhaofeng Zhong, Wei Yuan, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 A* conf
Relational Database Distillation: From Structured Tables to Condensed Graph Data.
WWW
Xinyi Gao, Jingxi Zhang, Lijian Chen, Tong Chen, Lizhen Cui, Hongzhi Yin
2026 J jnl
Sparse Gradient Training for Recommender Systems.
Data Sci. Eng.
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin
2026 J jnl
Towards On-device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model.
ACM Trans. Intell. Syst. Technol.
Zhaofeng Zhong, Wei Yuan, Liang Qu, Tong Chen, Hao Wang, Xiangyu Zhao, Hongzhi Yin
2026 J jnl
When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study.
CoRR
Shutong Qiao, Wei Yuan, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
A Multi-agent Text2SQL Framework using Small Language Models and Execution Feedback.
CoRR
Thanh Dat Hoang, Thanh Trung Huynh, Matthias Weidlich, Thanh Tam Nguyen, Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen
2025 J jnl
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems.
ACM Trans. Inf. Syst.
Hung Vinh Tran, Tong Chen, Nguyen Quoc Viet Hung, Zi Huang, Lizhen Cui, Hongzhi Yin
2025 B conf
ArchMap: Arch-Flattening and Knowledge-Guided Vision Language Model for Tooth Counting and Structured Dental Understanding.
IEEE Big Data
Bohan Zhang, Yiyi Miao, Taoyu Wu, Tong Chen, Ji Jiang, Zhuoxiao Li, Zhe Tang, Limin Yu, Jionglong Su
2025 J jnl
ArchMap: Arch-Flattening and Knowledge-Guided Vision Language Model for Tooth Counting and Structured Dental Understanding.
CoRR
Bohan Zhang, Yiyi Miao, Taoyu Wu, Tong Chen, Ji Jiang, Zhuoxiao Li, Zhe Tang, Limin Yu, Jionglong Su
2025 A* conf
Are Synthetic Videos Useful? A Benchmark for Retrieval-Centric Evaluation of Synthetic Videos.
ACM Multimedia
Zecheng Zhao, Selena Song, Tong Chen, Zhi Chen, Shazia Sadiq, Yadan Luo
2025 J jnl
Are Synthetic Videos Useful? A Benchmark for Retrieval-Centric Evaluation of Synthetic Videos.
CoRR
Zecheng Zhao, Selena Song, Tong Chen, Zhi Chen, Shazia Sadiq, Yadan Luo
2025 — conf
BiasNavi: LLM-Empowered Data Bias Management.
WWW (Companion Volume)
Junliang Yu, Jay Thai Duong Huynh, Shaoyang Fan, Gianluca Demartini, Tong Chen, Hongzhi Yin, Shazia Sadiq
2025 A* conf
CADRL: Category-Aware Dual-Agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs.
ICDE
Shangfei Zheng, Hongzhi Yin, Tong Chen, Xiangjie Kong, Jian Hou, Pengpeng Zhao
2025 J jnl
Cloud-Device Collaborative Agents for Sequential Recommendation.
CoRR
Jing Long, Sirui Huang, Huan Huo, Tong Chen, Hongzhi Yin, Guandong Xu
2025 A* conf
Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing.
SIGIR
Zecheng Zhao, Zhi Chen, Zi Huang, Shazia Sadiq, Tong Chen
2025 — conf
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning.
KDD (2)
Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin
2025 J jnl
Controllable and Stealthy Shilling Attacks via Dispersive Latent Diffusion.
CoRR
Shutong Qiao, Wei Yuan, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 Misc ed.
Databases Theory and Applications - 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, December 16-18, 2024, Proceedings
ADC
Tong Chen, Yang Cao, Quoc Viet Hung Nguyen, Thanh Tam Nguyen
2025 J jnl
DecKG: Decentralized collaborative learning with knowledge graph enhancement for POI recommendation.
Inf. Sci.
Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin
2025 J jnl
Denoising Pretrained Black-box Models via Amplitude-Guided Phase Realignment.
Trans. Mach. Learn. Res.
Hongliang Ni, Tong Chen, Shazia Sadiq, Gianluca Demartini
2025 — conf
Dental3R: Geometry-Aware Pairing for Intraoral 3D Reconstruction from Sparse-View Photographs.
BIBM
Yiyi Miao, Taoyu Wu, Tong Chen, Ji Jiang, Zhe Tang, Zhengyong Jiang, Angelos Stefanidis, Limin Yu, Jionglong Su
2025 J jnl
Dental3R: Geometry-Aware Pairing for Intraoral 3D Reconstruction from Sparse-View Photographs.
CoRR
Yiyi Miao, Taoyu Wu, Tong Chen, Ji Jiang, Zhe Tang, Zhengyong Jiang, Angelos Stefanidis, Limin Yu, Jionglong Su
2025 J jnl
DentalSplat: Dental Occlusion Novel View Synthesis from Sparse Intra-Oral Photographs.
CoRR
Yiyi Miao, Taoyu Wu, Tong Chen, Sihao Li, Ji Jiang, Youpeng Yang, Angelos Stefanidis, Limin Yu, Jionglong Su
2025 A* conf
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation.
SIGIR
Yuchuan Zhao, Tong Chen, Junliang Yu, Kai Zheng, Lizhen Cui, Hongzhi Yin
2025 J jnl
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation.
CoRR
Yuchuan Zhao, Tong Chen, Junliang Yu, Kai Zheng, Lizhen Cui, Hongzhi Yin
2025 J jnl
Do as I Can, Not as I Get: Topology-Aware Multi-Hop Reasoning on Multi-Modal Knowledge Graphs.
IEEE Trans. Knowl. Data Eng.
Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
2025 A conf
Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts.
CIKM
Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts.
CoRR
Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
Enhancing Language Models with Commonsense Knowledge for Multi-turn Response Selection.
Int. J. Mach. Learn. Cybern.
Yuandong Wang, Xuhui Ren, Tong Chen, Hongzhi Yin, Nguyen Quoc Viet Hung
2025 A* conf
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective.
ICML
Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin
2025 J jnl
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective.
CoRR
Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin
2025 A* conf
Epidemiology-informed Network for Robust Rumor Detection.
WWW
Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin
2025 B conf
FEC-Real: Enhancing Financial Time Series Task with a Hybrid Encoder.
IEEE Big Data
Zhilu Zhang, Procheta Sen, Tong Chen, Zhengyong Jiang, Jionglong Su
2025 J jnl
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services.
ACM Trans. Inf. Syst.
Wei Yuan, Chaoqun Yang, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 A* conf
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass.
ICLR
Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng
2025 J jnl
Graph Condensation: A Survey.
IEEE Trans. Knowl. Data Eng.
Xinyi Gao, Junliang Yu, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin
2025 — conf
Graph Condensation: Foundations, Methods and Prospects.
WWW (Companion Volume)
Hongzhi Yin, Xinyi Gao, Junliang Yu, Ruihong Qiu, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang
2025 A conf
Harnessing Large Language Models for Group POI Recommendations.
CIKM
Jing Long, Liang Qu, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
Learning A Universal Crime Predictor with Knowledge-guided Hypernetworks.
CoRR
Fidan Karimova, Tong Chen, Yu Yang, Shazia Sadiq
2025 A conf
Learning a Universal Crime Predictor with Knowledge-Guided Hypernetworks.
ECAI
Fidan Karimova, Tong Chen, Yu Yang, Shazia Sadiq
2025 J jnl
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering.
CoRR
Xurong Liang, Tong Chen, Wei Yuan, Hongzhi Yin
2025 J jnl
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering.
ACM Trans. Inf. Syst.
Xurong Liang, Tong Chen, Wei Yuan, Hongzhi Yin
2025 A* conf
MAXplain: A Multi-Agent System for Interactive Multimodal Hate Speech Detection.
ACM Multimedia
Nils Riekers, Marten Risius, Tong Chen
2025 A* conf
MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses.
EMNLP
Tong Chen, Zimu Wang, Yiyi Miao, Haoran Luo, Yuanfei Sun, Wei Wang, Zhengyong Jiang, Procheta Sen, Jionglong Su
2025 J jnl
MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses.
CoRR
Tong Chen, Zimu Wang, Yiyi Miao, Haoran Luo, Yuanfei Sun, Wei Wang, Zhengyong Jiang, Procheta Sen, Jionglong Su
2025 — conf
Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts.
ECML/PKDD (3)
Haiyang Jiang, Tong Chen, Wentao Zhang, Quoc Viet Hung Nguyen, Yuan Yuan, Yong Li, Hongzhi Yin
2025 J jnl
Multi-agents based User Values Mining for Recommendation.
CoRR
Lijian Chen, Wei Yuan, Tong Chen, Xiangyu Zhao, Nguyen Quoc Viet Hung, Hongzhi Yin
2025 J jnl
On-Device Recommender Systems: A Comprehensive Survey.
Data Sci. Eng.
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
2025 A* conf
On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective.
WWW
Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2025 J jnl
ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data.
CoRR
Tong Chen, Faeze Brahman, Jiacheng Liu, Niloofar Mireshghallah, Weijia Shi, Pang Wei Koh, Luke Zettlemoyer, Hannaneh Hajishirzi
2025 J jnl
ProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation.
CoRR
Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin
2025 — conf
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation.
KDD (1)
Hechuan Wen, Tong Chen, Guanhua Ye, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin
2025 J jnl
RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments.
CoRR
Zhiyuan Zeng, Hamish Ivison, Yiping Wang, Lifan Yuan, Shuyue Stella Li, Zhuorui Ye, Siting Li, Jacqueline He, Runlong Zhou, Tong Chen, Chenyang Zhao, Yulia Tsvetkov, Simon Shaolei Du, Natasha Jaques, Hao Peng, Pang Wei Koh, Hannaneh Hajishirzi
2025 J jnl
Relational Database Distillation: From Structured Tables to Condensed Graph Data.
CoRR
Xinyi Gao, Jingxi Zhang, Lijian Chen, Tong Chen, Lizhen Cui, Hongzhi Yin
2025 A* conf
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
WWW
Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin
2025 J jnl
RobGC: Towards Robust Graph Condensation.
IEEE Trans. Knowl. Data Eng.
Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui
2025 — conf
Silhouette-to-Contour Registration: Aligning Intraoral Scan Models with Cephalometric Radiographs.
BIBM
Yiyi Miao, Taoyu Wu, Ji Jiang, Tong Chen, Zhe Tang, Zhengyong Jiang, Angelos Stefanidis, Limin Yu, Jionglong Su
2025 J jnl
Silhouette-to-Contour Registration: Aligning Intraoral Scan Models with Cephalometric Radiographs.
CoRR
Yiyi Miao, Taoyu Wu, Ji Jiang, Tong Chen, Zhe Tang, Zhengyong Jiang, Angelos Stefanidis, Limin Yu, Jionglong Su
2025 J jnl
Special topic on cloud-edge collaboration for on-device recommendation.
Sci. China Inf. Sci.
Hongzhi Yin, Bin Cui, Xiaofang Zhou, Tong Chen, Quoc Viet Hung Nguyen, Xiangliang Zhang
2025 J jnl
StableFusion: Continual Video Retrieval via Frame Adaptation.
CoRR
Zecheng Zhao, Zhi Chen, Zi Huang, Shazia Sadiq, Tong Chen
2025 J jnl
TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding.
CoRR
Xiaobo Xing, Wei Yuan, Tong Chen, Quoc Viet Hung Nguyen, Xiangliang Zhang, Hongzhi Yin
2025 A* conf
Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation.
SIGIR
Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin
2025 J jnl
Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation.
CoRR
Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin
2025 J jnl
Towards On-Device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model.
CoRR
Zhaofeng Zhong, Wei Yuan, Liang Qu, Tong Chen, Hao Wang, Xiangyu Zhao, Hongzhi Yin
2025 A* conf
Towards Propagation-Aware Representation Learning for Supervised Social Media Graph Analytics.
ICDM
Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
Towards Propagation-aware Representation Learning for Supervised Social Media Graph Analytics.
CoRR
Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 A conf
Towards Secure and Robust Recommender Systems: A Data-Centric Perspective.
WSDM
Zongwei Wang, Junliang Yu, Tong Chen, Hongzhi Yin, Shazia Sadiq, Min Gao
2025 J jnl
Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations.
CoRR
Tong Chen, Akari Asai, Luke Zettlemoyer, Hannaneh Hajishirzi, Faeze Brahman
2025 J jnl
Watermarking Large Language Model-based Time Series Forecasting.
CoRR
Wei Yuan, Chaoqun Yang, Yu Xing, Tong Chen, Nguyen Quoc Viet Hung, Hongzhi Yin
2024 J jnl
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems.
CoRR
Hung Vinh Tran, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui, Hongzhi Yin
2024 J jnl
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
ACM Trans. Inf. Syst.
Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Nguyen Quoc Viet Hung, Hongzhi Yin
2024 A conf
Budgeted Embedding Table For Recommender Systems.
WSDM
Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs.
CoRR
Shangfei Zheng, Hongzhi Yin, Tong Chen, Xiangjie Kong, Jian Hou, Pengpeng Zhao
2024 A* conf
Challenging Low Homophily in Social Recommendation.
WWW
Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin
2024 J jnl
Challenging Low Homophily in Social Recommendation.
CoRR
Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin
2024 J jnl
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning.
CoRR
Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin
2024 A* conf
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation.
EMNLP
Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh
2024 J jnl
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation.
CoRR
Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh
2024 J jnl
DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation.
CoRR
Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin
2024 A* conf
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.
WWW
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 J jnl
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.
CoRR
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 A* conf
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations.
KDD
Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin
2024 J jnl
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations.
CoRR
Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin
2024 J jnl
Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting.
CoRR
Yufan Zheng, Wei Jiang, Alexander Zhou, Nguyen Quoc Viet Hung, Choujun Zhan, Tong Chen
2024 J jnl
Epidemiology-informed Network for Robust Rumor Detection.
CoRR
Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin
2024 J jnl
Explicit Knowledge Graph Reasoning for Conversational Recommendation.
ACM Trans. Intell. Syst. Technol.
Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin
2024 J jnl
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services.
CoRR
Wei Yuan, Chaoqun Yang, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 — conf
Fairness without Sensitive Attributes via Knowledge Sharing.
FAccT
Hongliang Ni, Lei Han, Tong Chen, Shazia Sadiq, Gianluca Demartini
2024 J jnl
Fairness without Sensitive Attributes via Knowledge Sharing.
CoRR
Hongliang Ni, Lei Han, Tong Chen, Shazia Sadiq, Gianluca Demartini
2024 J jnl
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass.
CoRR
Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng
2024 A* conf
Graph Condensation for Inductive Node Representation Learning.
ICDE
Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2024 A* conf
Graph Condensation for Open-World Graph Learning.
KDD
Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin
2024 J jnl
Graph Condensation for Open-World Graph Learning.
CoRR
Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin
2024 J jnl
Graph Condensation: A Survey.
CoRR
Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin
2024 A* conf
Hate Speech Detection with Generalizable Target-aware Fairness.
KDD
Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin
2024 J jnl
Hate Speech Detection with Generalizable Target-aware Fairness.
CoRR
Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin
2024 J jnl
Heterogeneous decentralised machine unlearning with seed model distillation.
CAAI Trans. Intell. Technol.
Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 — conf
Knowledge Base-enhanced Multilingual Relation Extraction with Large Language Models.
LKM@IJCAI
Tong Chen, Procheta Sen, Zimu Wang, Zhengyong Jiang, Jionglong Su
2024 A* conf
Lightweight Embeddings for Graph Collaborative Filtering.
SIGIR
Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin
2024 J jnl
Lightweight Embeddings for Graph Collaborative Filtering.
CoRR
Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin
2024 J jnl
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts.
CoRR
Haiyang Jiang, Tong Chen, Wentao Zhang, Nguyen Quoc Viet Hung, Yuan Yuan, Yong Li, Lizhen Cui
2024 J jnl
Multi-turn Response Selection with Commonsense-enhanced Language Models.
CoRR
Yuandong Wang, Xuhui Ren, Tong Chen, Yuxiao Dong, Nguyen Quoc Viet Hung, Jie Tang
2024 J jnl
On-Device Recommender Systems: A Comprehensive Survey.
CoRR
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
2024 — conf
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm.
WWW (Companion Volume)
Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui
2024 J jnl
On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective.
CoRR
Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2024 J jnl
Personalized Elastic Embedding Learning for On-Device Recommendation.
IEEE Trans. Knowl. Data Eng.
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2024 A* conf
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation.
WWW
Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation.
CoRR
Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Nguyen Quoc Viet Hung, Hongzhi Yin
2024 A conf
Physics-guided Active Sample Reweighting for Urban Flow Prediction.
CIKM
Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin
2024 J jnl
Physics-guided Active Sample Reweighting for Urban Flow Prediction.
CoRR
Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin
2024 A* conf
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures.
SIGIR
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2024 J jnl
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures.
CoRR
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2024 J jnl
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation.
CoRR
Hechuan Wen, Tong Chen, Guanhua Ye, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin
2024 J jnl
Rethinking Human-like Translation Strategy: Integrating Drift-Diffusion Model with Large Language Models for Machine Translation.
CoRR
Hongbin Na, Zimu Wang, Mieradilijiang Maimaiti, Tong Chen, Wei Wang, Tao Shen, Ling Chen
2024 J jnl
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
CoRR
Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
RobGC: Towards Robust Graph Condensation.
CoRR
Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui
2024 A conf
Scalable Dynamic Embedding Size Search for Streaming Recommendation.
CIKM
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Scalable Dynamic Embedding Size Search for Streaming Recommendation.
CoRR
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Self-Supervised Learning for Recommender Systems: A Survey.
IEEE Trans. Knowl. Data Eng.
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
2024 J jnl
Sparser Training for On-Device Recommendation Systems.
CoRR
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin
2024 J jnl
Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin
2024 J jnl
TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoT.
IEEE Trans. Ind. Informatics
Yuting Sun, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Unleashing the Power of Large Language Models for Group POI Recommendations.
CoRR
Jing Long, Liang Qu, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 A* conf
Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.
ICDE
Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
2024 J jnl
Variational Counterfactual Prediction Under Runtime Domain Corruption.
IEEE Trans. Knowl. Data Eng.
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin
2024 J jnl
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation.
IEEE Trans. Knowl. Data Eng.
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
2023 J jnl
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
CoRR
Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 J jnl
Budgeted Embedding Table For Recommender Systems.
CoRR
Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 J jnl
CRAMdb: a comprehensive database for composition and roles of microbiome in animals.
Nucleic Acids Res.
Bingbing Lei, Yueren Xu, Yunjiao Lei, Cunyuan Li, Ping Zhou, Limin Wang, Qing Yang, Xiaoyue Li, Fulin Li, Chuyang Liu, Chaowen Cui, Tong Chen, Wei Ni, Shengwei Hu
2023 A* conf
Continuous Input Embedding Size Search For Recommender Systems.
SIGIR
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
2023 J jnl
Continuous Input Embedding Size Search For Recommender Systems.
CoRR
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
2023 A* conf
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning.
SIGIR
Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
2023 J jnl
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning.
CoRR
Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
2023 J jnl
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng.
Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng
2023 J jnl
Decentralized Collaborative Learning Framework for Next POI Recommendation.
ACM Trans. Inf. Syst.
Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 J jnl
Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs.
CoRR
Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
2023 J jnl
Explicit Knowledge Graph Reasoning for Conversational Recommendation.
CoRR
Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin
2023 J jnl
Graph Condensation for Inductive Node Representation Learning.
CoRR
Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2023 J jnl
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation.
IEEE J. Biomed. Health Informatics
Guanhua Ye, Tong Chen, Yawen Li, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 J jnl
Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation.
CoRR
Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 J jnl
Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling.
CoRR
Xuhui Ren, Wei Yuan, Tong Chen, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 — conf
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.
ACL (1)
Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin
2023 J jnl
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.
CoRR
Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin
2023 A* conf
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation.
ICDM
Xurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
2023 J jnl
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation.
CoRR
Xurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
2023 A* conf
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation.
SIGIR
Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin
2023 J jnl
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation.
CoRR
Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Guandong Xu, Kai Zheng, Hongzhi Yin
2023 J jnl
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm.
CoRR
Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui
2023 J jnl
Personalized Elastic Embedding Learning for On-Device Recommendation.
CoRR
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2023 J jnl
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modeling.
IEEE Trans. Neural Networks Learn. Syst.
Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang
2023 J jnl
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences.
ACM Trans. Inf. Syst.
Mubashir Imran, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Alexander Zhou, Kai Zheng
2023 J jnl
Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin
2023 J jnl
Secure Your Ride: Real-Time Matching Success Rate Prediction for Passenger-Driver Pairs.
IEEE Trans. Knowl. Data Eng.
Yuandong Wang, Hongzhi Yin, Lian Wu, Tong Chen, Chunyang Liu
2023 A conf
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph.
CIKM
Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin
2023 J jnl
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph.
CoRR
Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin
2023 A conf
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks.
CIKM
Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin
2023 J jnl
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks.
CoRR
Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 J jnl
Spatial-temporal meta-path guided explainable crime prediction.
World Wide Web (WWW)
Yuting Sun, Tong Chen, Hongzhi Yin
2023 J jnl
Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution.
IEEE Trans. Knowl. Data Eng.
Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen
2023 J jnl
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT.
CoRR
Yuting Sun, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 A* conf
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data.
ICDM
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Kai Zheng, Hongzhi Yin
2023 J jnl
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data.
CoRR
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Kai Zheng, Hongzhi Yin
2023 J jnl
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning.
IEEE Trans. Knowl. Data Eng.
Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
2023 J jnl
Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.
CoRR
Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
2023 J jnl
Variational Counterfactual Prediction under Runtime Domain Corruption.
CoRR
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin
2022 J jnl
A Decentralized Collaborative Learning Framework Across Heterogeneous Devices for Personalized Predictive Analytics.
CoRR
Guanhua Ye, Hongzhi Yin, Tong Chen
2022 B conf
A Simple Overlapping Relation Extraction Method Based on Dropout.
IJCNN
Yiming Zhan, Zhao Li, Xiuhao Zhao, Chao Zhang, Tong Chen
2022 — conf
Accepted Tutorials at The Web Conference 2022.
WWW (Companion Volume)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022 — conf
An Interactive Fusion Model for Hierarchical Multi-label Text Classification.
NLPCC (2)
Xiuhao Zhao, Zhao Li, Xianming Zhang, Jibin Wang, Tong Chen, Zhengyu Ju, Canjun Wang, Chao Zhang, Yiming Zhan
2022 A* conf
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation.
SIGIR
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen
2022 J jnl
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks.
CoRR
Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng
2022 J jnl
Decentralized Collaborative Learning Framework for Next POI Recommendation.
CoRR
Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Hongzhi Yin
2022 J jnl
Exploiting Positional Information for Session-Based Recommendation.
ACM Trans. Inf. Syst.
Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin
2022 J jnl
Fast-adapting and privacy-preserving federated recommender system.
VLDB J.
Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
2022 J jnl
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation.
ACM Trans. Inf. Syst.
Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng
2022 J jnl
Multiscale Adaptive Multifractal Detrended Fluctuation Analysis-Based Source Identification of Synchrophasor Data.
IEEE Trans. Smart Grid
Yi Cui, Feifei Bai, Hongzhi Yin, Tong Chen, David Dart, Matthew Zillmann, Ryan K. L. Ko
2022 J jnl
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs.
ACM Trans. Intell. Syst. Technol.
Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu
2022 J jnl
Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent.
IEEE J. Biomed. Health Informatics
Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song
2022 A conf
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion.
WSDM
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui
2022 J jnl
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences.
CoRR
Mubashir Imran, Hongzhi Yin, Tong Chen, Nguyen Quoc Viet Hung, Alexander Zhou, Kai Zheng
2022 J jnl
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation.
CoRR
Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin
2022 J jnl
Self-Supervised Learning for Recommender Systems: A Survey.
CoRR
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
2022 J jnl
Self-supervised Graph-based Point-of-interest Recommendation.
CoRR
Yang Li, Tong Chen, Peng-Fei Zhang, Zi Huang, Hongzhi Yin
2022 J jnl
Social Boosted Recommendation With Folded Bipartite Network Embedding.
IEEE Trans. Knowl. Data Eng.
Hongxu Chen, Hongzhi Yin, Tong Chen, Weiqing Wang, Xue Li, Xia Hu
2022 A* conf
Thinking inside The Box: Learning Hypercube Representations for Group Recommendation.
SIGIR
Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang
2022 J jnl
Thinking inside The Box: Learning Hypercube Representations for Group Recommendation.
CoRR
Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang
2022 J jnl
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation.
CoRR
Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin
2022 J jnl
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution.
CoRR
Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen
2022 A* conf
Unified Question Generation with Continual Lifelong Learning.
WWW
Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui
2022 J jnl
Unified Question Generation with Continual Lifelong Learning.
CoRR
Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui
2022 A* conf
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract).
ICDE
Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
2022 J jnl
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation.
CoRR
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
2021 — conf
A Review on Quantitative Analyzing Axonal Transport of Mitochondria.
LifeTech
Tong Chen, Chenglei Peng, Ming Li, Xudong Chen, Sidan Du, Yang Li
2021 J jnl
An integrated model based on deep multimodal and rank learning for point-of-interest recommendation.
World Wide Web
Jianxin Liao, Tongcun Liu, Hongzhi Yin, Tong Chen, Jingyu Wang, Yulong Wang
2021 J jnl
Attribute-aware Explainable Complementary Clothing Recommendation.
CoRR
Yang Li, Tong Chen, Zi Huang
2021 J jnl
Attribute-aware explainable complementary clothing recommendation.
World Wide Web
Yang Li, Tong Chen, Zi Huang
2021 J jnl
CMNPD: a comprehensive marine natural products database towards facilitating drug discovery from the ocean.
Nucleic Acids Res.
Chuanyu Lyu, Tong Chen, Bo Qiang, Ningfeng Liu, Heyu Wang, Liangren Zhang, Zhenming Liu
2021 A* conf
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation.
IJCAI
Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin
2021 J jnl
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation.
CoRR
Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin
2021 A* conf
DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks.
ICDE
Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Xiangliang Zhang, Kai Zheng
2021 A* conf
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation.
IJCAI
Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang
2021 J jnl
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation.
CoRR
Yang Li, Tong Chen, Hongzhi Yin, Zi Huang
2021 J jnl
Disease Prediction via Graph Neural Networks.
IEEE J. Biomed. Health Informatics
Zhenchao Sun, Hongzhi Yin, Hongxu Chen, Tong Chen, Lizhen Cui, Fan Yang
2021 J jnl
Exploiting Positional Information for Session-based Recommendation.
CoRR
Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin
2021 J jnl
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection.
CoRR
Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang
2021 J jnl
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection.
IEEE J. Biomed. Health Informatics
Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang
2021 J jnl
Fast-adapting and Privacy-preserving Federated Recommender System.
CoRR
Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
2021 A* conf
Gallat: A Spatiotemporal Graph Attention Network for Passenger Demand Prediction.
ICDE
Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu
2021 A* conf
Graph Embedding for Recommendation against Attribute Inference Attacks.
WWW
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang
2021 J jnl
Graph Embedding for Recommendation against Attribute Inference Attacks.
CoRR
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang
2021 J jnl
Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation.
CoRR
Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng
2021 — conf
ITGNN: Item Transition Attentive Graph Neural Network for Session-Based Recommendation.
ICEA
Chao Zhang, Zhao Li, Tong Chen, Yiming Zhan, Xiuhao Zhao
2021 A* conf
Learning Elastic Embeddings for Customizing On-Device Recommenders.
KDD
Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang
2021 J jnl
Learning Elastic Embeddings for Customizing On-Device Recommenders.
CoRR
Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang
2021 A* conf
Learning to Ask Appropriate Questions in Conversational Recommendation.
SIGIR
Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng
2021 J jnl
Learning to Ask Appropriate Questions in Conversational Recommendation.
CoRR
Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng
2021 A conf
Lightweight Self-Attentive Sequential Recommendation.
CIKM
Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin
2021 J jnl
Lightweight Self-Attentive Sequential Recommendation.
CoRR
Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin
2021 J jnl
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph.
CoRR
Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu
2021 J jnl
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent.
CoRR
Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song
2021 J jnl
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion.
CoRR
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui
2021 J jnl
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling.
CoRR
Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang
2021 J jnl
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs.
CoRR
Yuandong Wang, Hongzhi Yin, Lian Wu, Tong Chen, Chunyang Liu
2021 J jnl
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning.
CoRR
Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
2020 J jnl
CRSAL: Conversational Recommender Systems with Adversarial Learning.
ACM Trans. Inf. Syst.
Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Nguyen Quoc Viet Hung, Zi Huang, Xiangliang Zhang
2020 — conf
Decentralized Embedding Framework for Large-Scale Networks.
DASFAA (3)
Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang, Xiaofang Zhou
2020 — conf
Estimating the Binding and Unbinding Rate of Motor Protein from Mitochondrial Motion.
LifeTech
Xudong Chen, Ming Li, Tong Chen, Sidan Du, Yang Li
2020 A* conf
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation.
SIGIR
Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen
2020 J jnl
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation.
CoRR
Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen
2020 A* conf
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection.
SIGIR
Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui
2020 J jnl
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection.
CoRR
Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui
2020 J jnl
Maintenance Personnel Detection and Analysis Using Mask-RCNN Optimization on Power Grid Monitoring Video.
Neural Process. Lett.
Tong Chen, Ying Jiang, Wang Jian, Lanxin Qiu, Huan Liu, Zhaolin Xiao
2020 A* conf
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction.
KDD
Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
2020 J jnl
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction.
CoRR
Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
2020 A* conf
Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices.
WWW
Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung
2020 J jnl
Online sales prediction via trend alignment-based multitask recurrent neural networks.
Knowl. Inf. Syst.
Tong Chen, Hongzhi Yin, Hongxu Chen, Hao Wang, Xiaofang Zhou, Xue Li
2020 — —
Sequence modelling for e-commerce
Tong Chen
2020 A* conf
Sequence-Aware Factorization Machines for Temporal Predictive Analytics.
ICDE
Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou
2020 A* conf
Try This Instead: Personalized and Interpretable Substitute Recommendation.
SIGIR
Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang
2020 J jnl
Try This Instead: Personalized and Interpretable Substitute Recommendation.
CoRR
Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang
2020 A* conf
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation.
AAAI
Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin
2019 A* conf
AIR: Attentional Intention-Aware Recommender Systems.
ICDE
Tong Chen, Hongzhi Yin, Hongxu Chen, Rui Yan, Quoc Viet Hung Nguyen, Xue Li
2019 — conf
Chinese Text Feature Extraction and Classification Based on Deep Learning.
CSAE
Ruishuang Wang, Zhao Li, Jian Cao, Tong Chen
2019 B conf
Convolutional Recurrent Neural Networks for Text Classification.
IJCNN
Ruishuang Wang, Zhao Li, Jian Cao, Tong Chen, Lei Wang
2019 J jnl
ETCM: an encyclopaedia of traditional Chinese medicine.
Nucleic Acids Res.
Hai-Yu Xu, Yan-Qiong Zhang, Zhen-Ming Liu, Tong Chen, Chuan-Yu Lv, Shi-Huan Tang, Xiao-Bo Zhang, Wei Zhang, Zhi-Yong Li, Rong-Rong Zhou, Hong-Jun Yang, Xiu-Jie Wang, Lu-Qi Huang
2019 A* conf
Exploiting Centrality Information with Graph Convolutions for Network Representation Learning.
ICDE
Hongxu Chen, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li
2019 A* conf
Inferring Substitutable Products with Deep Network Embedding.
IJCAI
Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen
2019 — conf
Minimal Path based Particle Tracking in Low SNR Fluorescence Microscopy Images.
ICBIP
Sheng Lu, Tong Chen, Fan Yang, Chenglei Peng, Sidan Du, Yang Li
2019 J jnl
Sequence-Aware Factorization Machines for Temporal Predictive Analytics.
CoRR
Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou
2019 A* conf
Streaming Session-based Recommendation.
KDD
Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung
2019 A conf
What Can History Tell Us?
CIKM
Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen
2018 — conf
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.
PAKDD (Workshops)
Tong Chen, Xue Li, Hongzhi Yin, Jun Zhang
2018 — conf
Rumor Detection via Recurrent Neural Networks: A Case Study on Adaptivity with Varied Data Compositions.
PAKDD (Workshops)
Tong Chen, Hongxu Chen, Xue Li
2018 A* conf
TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction.
ICDM
Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, Xue Li
2017 J jnl
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.
CoRR
Tong Chen, Lin Wu, Xue Li, Jun Zhang, Hongzhi Yin, Yang Wang
2017 C conf
Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage.
ADMA
Lin Wu, Michele Haynes, Andrew Smith, Tong Chen, Xue Li
2017 — conf
People Opinion Topic Model: Opinion based User Clustering in Social Networks.
WWW (Companion Volume)
Hongxu Chen, Hongzhi Yin, Xue Li, Meng Wang, Weitong Chen, Tong Chen