Tong Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
171
Venues
53
Active years
1991–2026
Best venue rank
A*
Where they publish
- A*WWW18 papers
- A*SIGIR16 papers
- AMICCAI11 papers
- A*ICDE10 papers
- A*KDD10 papers
- ACIKM8 papers
- A*CVPR8 papers
- ASC7 papers
- A*EMNLP5 papers
- A*ICDM5 papers
- A*AAAI4 papers
- A*ICML4 papers
- MulticonferenceICASSP4 papers
- CVCIP4 papers
- A*ICLR3 papers
- AWSDM3 papers
- A*IJCAI3 papers
- NationalICNC3 papers
- A*ACL2 papers
- BDASFAA2 papers
- BDCC2 papers
- BICPR2 papers
- ADSN2 papers
- BIJCNN2 papers
- BPAKDD2 papers
- CICICS2 papers
- AICS2 papers
- ACGO2 papers
- CISCAS1 paper
- BLREC1 paper
- AECAI1 paper
- AIROS1 paper
- BWISE1 paper
- BACCV1 paper
- A*ECCV1 paper
- A*ICRA1 paper
- ANAACL1 paper
- CICMLA1 paper
- A*ISMAR1 paper
- CUIC1 paper
- BWCNC1 paper
- BSRDS1 paper
- CICANN1 paper
- BACII1 paper
- BICIP1 paper
- CPDCAT1 paper
- CADMA1 paper
- NationalHiPC1 paper
- CKSEM1 paper
- CSBAC-PAD1 paper
- BCC1 paper
- A*PLDI1 paper
- BICPP1 paper
Papers
171 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | EndoIR: Degradation-Agnostic All-in-One Endoscopic Image Restoration via Noise-Aware Routing Diffusion. | Tong Chen, Xinyu Ma, Long Bai, Wenyang Wang, Yue Sun, Luping Zhou |
| 2026 | AAAI | Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework. | Jinge Wu, Zhaolong Wu, Ruizhe Li, Tong Chen, Abul Hasan, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu |
| 2026 | ACL | Mind Reader: Latent User Demand-Guided Content Optimization for Generative Search Engine. | Tong Chen, Jiawei Guo, Yuxi Li, Baiming Chen, Houxing Ren, Zhang Zhiwei, Yunxiang Zhang, Hanyang Xia, Kun Liang, Zhaoran Fan |
| 2026 | DASFAA | LogicGate: Adaptive Rule-Based Modeling of Exogenous Effects for Time Series Forecasting. | Jie Zhong, Tong Chen, Wei Yuan, Li-Zhen Cui, Hongzhi Yin |
| 2026 | DCC | MG-VLQA: Multi-Granularity Quality Assessment for Image Compression via Visual Language Models. | Hanfei Li, Anle Ke, Jiawen Gu, Chao Zhou, Tong Chen, Zhan Ma |
| 2026 | ICDE | Boosting Small Language Models for Text-to-SQL with Fine-Grained Execution Feedback and Cost-Efficient Rewards. | Thanh Dat Hoang, Thanh Trung Huynh, Matthias Weidlich, Thanh Tam Nguyen, Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen |
| 2026 | ICPR | CaCMam: Content-Aware Contrastive State Space Model for Unpaired Image Dehazing. | Tong Chen, Jia Li, Yunzhi Chen, Hongyang Huang, Fengyu Yang, Ying Chen |
| 2026 | ICPR | Edge-Guided Feature Enhancement for Self-supervised Image Deblurring. | Jia Li, Bo Wang, Tong Chen, Fengyu Yang, Ying Ma, Ying Chen |
| 2026 | ISCAS | An Efficient Hardware Accelerator for JPEG-AI Image Compression on FPGA. | Weize Ma, Sen Gao, Siyuan Leng, Tong Chen, Ming Lu, Zhan Ma, Jun Lin |
| 2026 | KDD | ProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation. | Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin |
| 2026 | LREC | MEUR: A Benchmark for Evaluating Vision-Language Models on Multimodal Event Understanding and Reasoning. | Zimu Wang, Yuqi Wang, Tong Chen, Changyu Zeng, Hongbin Na, Nijia Han, Fuyu Xing, Qi Chen, Qiufeng Wang, Anh Nguyen, Shuihua Wang, Ling Chen, Jionglong Su, Haiyang Zhang, Wei Wang |
| 2026 | WWW | Relational Database Distillation: From Structured Tables to Condensed Graph Data. | Xinyi Gao, Jingxi Zhang, Lijian Chen, Tong Chen, Lizhen Cui, Hongzhi Yin |
| 2026 | WWW | Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection. | Hung Vinh Tran, Tong Chen, Hechuan Wen, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin |
| 2026 | WWW | PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection. | Zongwei Wang, Min Gao, Junliang Yu, Tong Chen, Chenghua Lin |
| 2026 | WWW | DriftNavi: Talk through Your Data Drift with LLMs. | Zixin Wang, Junliang Yu, Tong Chen, Yadan Luo, Shazia Sadiq |
| 2026 | SIGIR | ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems. | Yi Zhang, Yiwen Zhang, Kai Zheng, Tong Chen, Hongzhi Yin |
| 2026 | SIGIR | Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems. | Yuchuan Zhao, Tong Chen, Junliang Yu, Zongwei Wang, Lizhen Cui, Hongzhi Yin |
| 2025 | CIKM | Harnessing Large Language Models for Group POI Recommendations. | Jing Long, Liang Qu, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2025 | CIKM | Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts. | Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2025 | CVPR | DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels. | Erjian Guo, Zhen Zhao, Zicheng Wang, Tong Chen, Yunyi Liu, Luping Zhou |
| 2025 | CVPR | RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds. | Kang You, Tong Chen, Dandan Ding, M. Salman Asif, Zhan Ma |
| 2025 | ECAI | Learning a Universal Crime Predictor with Knowledge-Guided Hypernetworks. | Fidan Karimova, Tong Chen, Yu Yang, Shazia Sadiq |
| 2025 | EMNLP | MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses. | Tong Chen, Zimu Wang, Yiyi Miao, Haoran Luo, Yuanfei Sun, Wei Wang, Zhengyong Jiang, Procheta Sen, Jionglong Su |
| 2025 | ICDE | CADRL: Category-Aware Dual-Agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs. | Shangfei Zheng, Hongzhi Yin, Tong Chen, Xiangjie Kong, Jian Hou, Pengpeng Zhao |
| 2025 | ICDM | Towards Propagation-Aware Representation Learning for Supervised Social Media Graph Analytics. | Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2025 | ICDM | BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification. | Jing Zhang, Xiaowei Yu, Tong Chen, Chao Cao, Minheng Chen, Yan Zhuang, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu |
| 2025 | ICLR | Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass. | Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng |
| 2025 | ICLR | Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension. | Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma |
| 2025 | ICLR | On Quantizing Neural Representation for Variable-Rate Video Coding. | Junqi Shi, Zhujia Chen, Hanfei Li, Qi Zhao, Ming Lu, Tong Chen, Zhan Ma |
| 2025 | ICML | Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion. | Anle Ke, Xu Zhang, Tong Chen, Ming Lu, Chao Zhou, Jiawen Gu, Zhan Ma |
| 2025 | ICML | Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective. | Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin |
| 2025 | IROS | Extreme-Hydrostatic-Pressure Resilient Dielectric Elastomer Actuator for Propeller Propulsion. | Boyuan Du, Liang Zhou, Xuguang Dong, Xinge Li, Tong Chen, Tiefeng Li, Xin-Jun Liu, Huichan Zhao |
| 2025 | KDD | Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning. | Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin |
| 2025 | KDD | Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation. | Hechuan Wen, Tong Chen, Guanhua Ye, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin |
| 2025 | MICCAI | A Unified Continuous Staging Framework for Alzheimer's Disease and Lewy Body Dementia via Hierarchical Anatomical Features. | Tong Chen, Minheng Chen, Jing Zhang, Yan Zhuang, Chao Cao, Xiaowei Yu, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu |
| 2025 | MICCAI | SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation. | Tong Chen, Shuya Yang, Junyi Wang, Long Bai, Hongliang Ren, Luping Zhou |
| 2025 | MICCAI | Core-Periphery Principle Guided State Space Model for Functional Connectome Classification. | Minheng Chen, Xiaowei Yu, Jing Zhang, Tong Chen, Chao Cao, Yan Zhuang, Yanjun Lyu, Lu Zhang, Tianming Liu, Dajiang Zhu |
| 2025 | MICCAI | Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting. | Yiming Huang, Long Bai, Beilei Cui, Yanheng Li, Tong Chen, Jie Wang, Jinlin Wu, Zhen Lei, Hongbin Liu, Hongliang Ren |
| 2025 | MICCAI | WiD-PET: PET Image Reconstruction from Low-Dose Data Using a Wavelet-Informed Diffusion Model with Fast Inference. | Qingcheng Lyu, Tong Chen, Yiran Wang, Erjian Guo, Luping Zhou |
| 2025 | MICCAI | Can DeepSeek Reason Like a Surgeon? An Empirical Evaluation for Vision-Language Understanding in Robotic-Assisted Surgery. | Boyi Ma, Yanguang Zhao, Jie Wang, Guankun Wang, Kun Yuan, Tong Chen, Long Bai, Hongliang Ren |
| 2025 | MICCAI | Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer. | Xiaowei Yu, Jing Zhang, Tong Chen, Yan Zhuang, Minheng Chen, Chao Cao, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu |
| 2025 | WWW | Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. | Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin |
| 2025 | WWW | Epidemiology-informed Network for Robust Rumor Detection. | Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin |
| 2025 | WWW | On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective. | Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin |
| 2025 | WWW | Graph Condensation: Foundations, Methods and Prospects. | Hongzhi Yin, Xinyi Gao, Junliang Yu, Ruihong Qiu, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang |
| 2025 | WWW | BiasNavi: LLM-Empowered Data Bias Management. | Junliang Yu, Jay Thai Duong Huynh, Shaoyang Fan, Gianluca Demartini, Tong Chen, Hongzhi Yin, Shazia Sadiq |
| 2025 | SIGIR | Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation. | Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin |
| 2025 | SIGIR | Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing. | Zecheng Zhao, Zhi Chen, Zi Huang, Shazia Sadiq, Tong Chen |
| 2025 | SIGIR | Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation. | Yuchuan Zhao, Tong Chen, Junliang Yu, Kai Zheng, Lizhen Cui, Hongzhi Yin |
| 2025 | WISE | Towards Cost-Effective Model Update in Online Feature-Incremental Learning. | Zirui Tan, Hechuan Wen, Shazia Sadiq, Tong Chen |
| 2025 | WSDM | Towards Secure and Robust Recommender Systems: A Data-Centric Perspective. | Zongwei Wang, Junliang Yu, Tong Chen, Hongzhi Yin, Shazia Sadiq, Min Gao |
| 2024 | ACCV | TGCM: Cross-Domain Few-Shot Semantic Segmentation via One-Shot Target Guided CutMix. | Haitao Wei, Jianming Liu, Tong Chen, Wenlong Qiu |
| 2024 | CIKM | Physics-guided Active Sample Reweighting for Urban Flow Prediction. | Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin |
| 2024 | CIKM | Scalable Dynamic Embedding Size Search for Streaming Recommendation. | Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2024 | DCC | Variable-rate Neural Speech Compression with Multi-scale Feature Extraction and Improved Entropy Modeling. | Shaohan Sun, Yuzhuo Kong, Tong Chen, Zhan Ma |
| 2024 | ECCV | RS-NeRF: Neural Radiance Fields from Rolling Shutter Images. | Muyao Niu, Tong Chen, Yifan Zhan, Zhuoxiao Li, Xiang Ji, Yinqiang Zheng |
| 2024 | EMNLP | MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity. | Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl |
| 2024 | EMNLP | Dense X Retrieval: What Retrieval Granularity Should We Use? | Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Hongming Zhang, Dong Yu |
| 2024 | EMNLP | CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation. | Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh |
| 2024 | ICASSP | Improving Open-Set Recognition with Bayesian Metric Learning. | Tong Chen, Guanchao Feng, Petar M. Djuric |
| 2024 | ICASSP | NeRI: Implicit Neural Representation of LiDAR Point Cloud Using Range Image Sequence. | Ruixiang Xue, Jiaxin Li, Tong Chen, Dandan Ding, Xun Cao, Zhan Ma |
| 2024 | ICDE | Graph Condensation for Inductive Node Representation Learning. | Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin |
| 2024 | ICDE | Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution. | Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin |
| 2024 | ICML | MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data. | Paul S. Scotti, Mihir Tripathy, Cesar Torrico, Reese Kneeland, Tong Chen, Ashutosh Narang, Charan Santhirasegaran, Jonathan Xu, Thomas Naselaris, Kenneth A. Norman, Tanishq Mathew Abraham |
| 2024 | ICRA | Microexpression to Macroexpression: Facial Expression Magnification by Single Input. | Yaqi Song, Tong Chen, Shigang Li, Jianfeng Li |
| 2024 | KDD | Hate Speech Detection with Generalizable Target-aware Fairness. | Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin |
| 2024 | KDD | Graph Condensation for Open-World Graph Learning. | Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin |
| 2024 | KDD | Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations. | Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin |
| 2024 | MICCAI | EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy. | Long Bai, Tong Chen, Qiaozhi Tan, Wan Jun Nah, Yanheng Li, Zhicheng He, Sishen Yuan, Zhen Chen, Jinlin Wu, Mobarakol Islam, Zhen Li, Hongbin Liu, Hongliang Ren |
| 2024 | MICCAI | LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion. | Tong Chen, Qingcheng Lyu, Long Bai, Erjian Guo, Huxin Gao, Xiaoxiao Yang, Hongliang Ren, Luping Zhou |
| 2024 | MICCAI | Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks. | Xiaowei Yu, Lu Zhang, Chao Cao, Tong Chen, Yanjun Lyu, Jing Zhang, Tianming Liu, Dajiang Zhu |
| 2024 | NAACL | Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations. | Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu |
| 2024 | WWW | Challenging Low Homophily in Social Recommendation. | Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin |
| 2024 | WWW | Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. | Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2024 | WWW | On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. | Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui |
| 2024 | WWW | Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. | Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin |
| 2024 | SIGIR | Lightweight Embeddings for Graph Collaborative Filtering. | Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin |
| 2024 | SIGIR | Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. | Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin |
| 2024 | VCIP | Compressing 3D Gaussian Splatting via a Generalizable Neural Coder. | Junteng Zhang, Tong Chen, Hao Zhu, Dong Wang, Dandan Ding, Zhan Ma |
| 2024 | WSDM | Budgeted Embedding Table For Recommender Systems. | Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2023 | ACL | KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. | Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin |
| 2023 | CIKM | Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. | Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin |
| 2023 | CIKM | Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph. | Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin |
| 2023 | ICDM | Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation. | Xurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin |
| 2023 | ICDM | To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data. | Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Kai Zheng, Hongzhi Yin |
| 2023 | MICCAI | LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion. | Long Bai, Tong Chen, Yanan Wu, An Wang, Mobarakol Islam, Hongliang Ren |
| 2023 | SIGIR | Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. | Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin |
| 2023 | SIGIR | Continuous Input Embedding Size Search For Recommender Systems. | Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin |
| 2023 | SIGIR | DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning. | Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao |
| 2022 | DSN | On the Scalability of HeapCheck. | Rick Boivie, Gururaj Saileshwar, Tong Chen, Benjamin Segal, Alper Buyuktosunoglu |
| 2022 | ICASSP | Improving Phase-Rectified Signal Averaging for Fetal Heart Rate Analysis. | Tong Chen, Guanchao Feng, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric |
| 2022 | ICDE | Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract). | Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang |
| 2022 | ICMLA | Improving Fashion Attribute Classification Accuracy with Limited Labeled Data Using Transfer Learning. | Tong Chen, Jiho Noh, Luke Cranfill, John Morris, Junggab Son |
| 2022 | IJCNN | A Simple Overlapping Relation Extraction Method Based on Dropout. | Yiming Zhan, Zhao Li, Xiuhao Zhao, Chao Zhang, Tong Chen |
| 2022 | ISMAR | Recognizing Microexpression as Macroexpression by the Teacher-student Framework Network. | Yaqi Song, Wei Zhao, Tong Chen, Shigang Li, Jianfeng Li |
| 2022 | WWW | Accepted Tutorials at The Web Conference 2022. | 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 | WWW | Unified Question Generation with Continual Lifelong Learning. | Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui |
| 2022 | SIGIR | Thinking inside The Box: Learning Hypercube Representations for Group Recommendation. | Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang |
| 2022 | SIGIR | Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. | Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen |
| 2022 | UIC | Joint Global and Local Feature Learning Based on Facial StO2 for Stress Recognition. | Dong Chen, Xinyu Liu, Tong Chen, Dairong Peng, Jiaxiu Wang |
| 2022 | WSDM | PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. | Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui |
| 2021 | CIKM | Lightweight Self-Attentive Sequential Recommendation. | Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin |
| 2021 | CVPR | Micro-Expression Recognition Based on Facial Graph Representation Learning and Facial Action Unit Fusion. | Ling Lei, Tong Chen, Shigang Li, Jianfeng Li |
| 2021 | CVPR | Subjective Quality Optimized Efficient Image Compression. | Xining Wang, Tong Chen, Zhan Ma |
| 2021 | DSN | Hardware Support for Low-Cost Memory Safety. | Rick Boivie, Gururaj Saileshwar, Tong Chen, Benjamin Segal, Alper Buyuktosunoglu |
| 2021 | ICDE | DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks. | Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Xiangliang Zhang, Kai Zheng |
| 2021 | ICDE | Gallat: A Spatiotemporal Graph Attention Network for Passenger Demand Prediction. | Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu |
| 2021 | ICML | MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration. | Jin Zhang, Jianhao Wang, Hao Hu, Tong Chen, Yingfeng Chen, Changjie Fan, Chongjie Zhang |
| 2021 | IJCAI | DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation. | Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2021 | IJCAI | Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. | Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang |
| 2021 | KDD | Learning Elastic Embeddings for Customizing On-Device Recommenders. | Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang |
| 2021 | WCNC | Secure and Reliable Parking Protocol Based on Blockchain for VANETs. | Yan Zhang, Lei Zhang, Burong Kang, Yue Ma, Tong Chen |
| 2021 | WWW | Graph Embedding for Recommendation against Attribute Inference Attacks. | Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang |
| 2021 | SIGIR | Learning to Ask Appropriate Questions in Conversational Recommendation. | Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng |
| 2021 | SRDS | Protecting Reward Function of Reinforcement Learning via Minimal and Non-catastrophic Adversarial Trajectory. | Tong Chen, Yingxiao Xiang, Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Jiqiang Liu, Gang Li, Qi Alfred Chen |
| 2020 | AAAI | Learned Video Compression via Joint Spatial-Temporal Correlation Exploration. | Haojie Liu, Han Shen, Lichao Huang, Ming Lu, Tong Chen, Zhan Ma |
| 2020 | AAAI | Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. | Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2020 | CVPR | Auxiliary Training: Towards Accurate and Robust Models. | Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma |
| 2020 | DASFAA | Decentralized Embedding Framework for Large-Scale Networks. | Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang, Xiaofang Zhou |
| 2020 | ICANN | Facial Expression Recognition Method Based on a Part-Based Temporal Convolutional Network with a Graph-Structured Representation. | Lei Zhong, Changmin Bai, Jianfeng Li, Tong Chen, Shigang Li |
| 2020 | ICASSP | Variable Bitrate Image Compression with Quality Scaling Factors. | Tong Chen, Zhan Ma |
| 2020 | ICDE | Sequence-Aware Factorization Machines for Temporal Predictive Analytics. | Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou |
| 2020 | KDD | Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. | Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial |
| 2020 | WWW | Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. | Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung |
| 2020 | SIGIR | Try This Instead: Personalized and Interpretable Substitute Recommendation. | Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang |
| 2020 | SIGIR | GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. | Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen |
| 2020 | SIGIR | GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. | Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui |
| 2019 | ACII | A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition. | Min Peng, Chongyang Wang, Tao Bi, Yu Shi, Xiangdong Zhou, Tong Chen |
| 2019 | CIKM | What Can History Tell Us? | Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen |
| 2019 | CVPR | Practical Stacked Non-local Attention Modules for Image Compression. | Haojie Liu, Tong Chen, Qiu Shen, Zhan Ma |
| 2019 | CVPR | Learned Image Restoration for VVC Intra Coding. | Ming Lu, Tong Chen, Haojie Liu, Zhan Ma |
| 2019 | EMNLP | Collaborative Policy Learning for Open Knowledge Graph Reasoning. | Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren |
| 2019 | ICDE | Exploiting Centrality Information with Graph Convolutions for Network Representation Learning. | Hongxu Chen, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li |
| 2019 | ICDE | AIR: Attentional Intention-Aware Recommender Systems. | Tong Chen, Hongzhi Yin, Hongxu Chen, Rui Yan, Quoc Viet Hung Nguyen, Xue Li |
| 2019 | ICIP | Looking-Ahead: Neural Future Video Frame Prediction. | Changxu Zhang, Tong Chen, Haojie Liu, Qiu Shen, Zhan Ma |
| 2019 | ICNC | Spatial Multi-scale Motion History Histograms and Its Applications. | Asim Jan, Zunduo Zhao, Tong Chen, Hongying Meng, Tao Lei |
| 2019 | ICNC | A Fast Automatic Holoscopic 3D Micro-gesture Recognition System for Immersive Applications. | Rui Qin, Yi Liu, Mohammad Rafiq Swash, Maozhen Li, Hongying Meng, Tao Lei, Tong Chen |
| 2019 | IJCAI | Inferring Substitutable Products with Deep Network Embedding. | Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen |
| 2019 | IJCNN | Convolutional Recurrent Neural Networks for Text Classification. | Ruishuang Wang, Zhao Li, Jian Cao, Tong Chen, Lei Wang |
| 2019 | KDD | Streaming Session-based Recommendation. | Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung |
| 2019 | PDCAT | D2D-Assisted Computation Offloading for Mobile Edge Computing Systems with Energy Harvesting. | Molin Li, Tong Chen, Jiaxin Zeng, Xiaobo Zhou, Keqiu Li, Heng Qi |
| 2019 | SC | Preparation and optimization of a diverse workload for a large-scale heterogeneous system. | Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Bjrn Sjgreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Bhme, Jamie A. Bramwell, James M. Brase, Jos R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz |
| 2019 | VCIP | Extreme Image Coding via Multiscale Autoencoders with Generative Adversarial Optimization. | Chao Huang, Haojie Liu, Tong Chen, Qiu Shen, Zhan Ma |
| 2019 | VCIP | Codedretrieval: Joint Image Compression and Retrieval with Neural Networks. | Linfeng Liu, Haojie Liu, Tong Chen, Qiu Shen, Zhan Ma |
| 2018 | CVPR | Deep Image Compression via End-to-End Learning. | Haojie Liu, Tong Chen, Qiu Shen, Tao Yue, Zhan Ma |
| 2018 | ICDM | TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction. | Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, Xue Li |
| 2018 | KDD | Deep Sequence Learning with Auxiliary Information for Traffic Prediction. | Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu |
| 2018 | PAKDD | Rumor Detection via Recurrent Neural Networks: A Case Study on Adaptivity with Varied Data Compositions. | Tong Chen, Hongxu Chen, Xue Li |
| 2018 | PAKDD | Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection. | Tong Chen, Xue Li, Hongzhi Yin, Jun Zhang |
| 2017 | ADMA | Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage. | Lin Wu, Michele Haynes, Andrew Smith, Tong Chen, Xue Li |
| 2017 | HiPC | Efficient Fork-Join on GPUs Through Warp Specialization. | Arpith Chacko Jacob, Alexandre E. Eichenberger, Hyojin Sung, Samuel F. Anto, Gheorghe-Teodor Bercea, Carlo Bertolli, Alexey Bataev, Tian Jin, Tong Chen, Zehra Sura, Georgios Rokos, Kevin O'Brien |
| 2017 | ICICS | A Cross-Modal CCA-Based Astroturfing Detection Approach. | XiaoXuan Bai, Yingxiao Xiang, Wenjia Niu, Jiqiang Liu, Tong Chen, Jingjing Liu, Tong Wu |
| 2017 | ICICS | A Method to Effectively Detect Vulnerabilities on Path Planning of VIN. | Jingjing Liu, Wenjia Niu, Jiqiang Liu, Jia Zhao, Tong Chen, Yinqi Yang, Yingxiao Xiang, Lei Han |
| 2017 | KSEM | A Hidden Astroturfing Detection Approach Base on Emotion Analysis. | Tong Chen, Noora Hashim Alallaq, Wenjia Niu, Yingdi Wang, XiaoXuan Bai, Jingjing Liu, Yingxiao Xiang, Tong Wu, Jiqiang Liu |
| 2017 | WWW | People Opinion Topic Model: Opinion based User Clustering in Social Networks. | Hongxu Chen, Hongzhi Yin, Xue Li, Meng Wang, Weitong Chen, Tong Chen |
| 2017 | SC | Implementing implicit OpenMP data sharing on GPUs. | Gheorghe-Teodor Bercea, Carlo Bertolli, Arpith C. Jacob, Alexandre E. Eichenberger, Alexey Bataev, Georgios Rokos, Hyojin Sung, Tong Chen, Kevin O'Brien |
| 2017 | VCIP | DeepCoder: A deep neural network based video compression. | Tong Chen, Haojie Liu, Qiu Shen, Tao Yue, Xun Cao, Zhan Ma |
| 2016 | SC | Offloading Support for OpenMP in Clang and LLVM. | Samuel F. Anto, Alexey Bataev, Arpith C. Jacob, Gheorghe-Teodor Bercea, Alexandre E. Eichenberger, Georgios Rokos, Matt Martineau, Tian Jin, Guray Ozen, Zehra Sura, Tong Chen, Hyojin Sung, Carlo Bertolli, Kevin O'Brien |
| 2016 | SC | Performance Analysis and Optimization of Clang's OpenMP 4.5 GPU Support. | Matt Martineau, Simon McIntosh-Smith, Carlo Bertolli, Arpith C. Jacob, Samuel F. Anto, Alexandre E. Eichenberger, Gheorghe-Teodor Bercea, Tong Chen, Tian Jin, Kevin O'Brien, Georgios Rokos, Hyojin Sung, Zehra Sura |
| 2015 | SC | Performance analysis of OpenMP on a GPU using a CORAL proxy application. | Gheorghe-Teodor Bercea, Carlo Bertolli, Samuel F. Anto, Arpith C. Jacob, Alexandre E. Eichenberger, Tong Chen, Zehra Sura, Hyojin Sung, Georgios Rokos, David Appelhans, Kevin O'Brien |
| 2015 | SC | Integrating GPU support for OpenMP offloading directives into Clang. | Carlo Bertolli, Samuel Anto, Gheorghe-Teodor Bercea, Arpith C. Jacob, Alexandre E. Eichenberger, Tong Chen, Zehra Sura, Hyojin Sung, Georgios Rokos, David Appelhans, Kevin O'Brien |
| 2015 | SBAC-PAD | Progressive Codesign of an Architecture and Compiler Using a Proxy Application. | Arpith C. Jacob, Ravi Nair, Tong Chen, Zehra Sura, Changhoan Kim, Carlo Bertolli, Samuel Anto, Kevin O'Brien |
| 2014 | SC | Coordinating GPU threads for OpenMP 4.0 in LLVM. | Carlo Bertolli, Samuel Anto, Alexandre E. Eichenberger, Kevin O'Brien, Zehra Sura, Arpith C. Jacob, Tong Chen, Olivier Sallenave |
| 2011 | ICNC | Synchronization of chaotic fractional-order Moore-Spiegel systems with fully unknown parameters. | Baogui Xin, Tong Chen, Yanqin Liu |
| 2009 | ICS | DBDB: optimizing DMATransfer for the cell be architecture. | Tao Liu, Haibo Lin, Tong Chen, Kevin O'Brien, Ling Shao |
| 2008 | CGO | Prefetching irregular references for software cache on cell. | Tong Chen, Tao Zhang, Zehra Sura, Marc Gonzlez Tallada |
| 2008 | ICS | Orchestrating data transfer for the cell/B.E. processor. | Tong Chen, Haibo Lin, Tao Zhang |
| 2004 | CC | Data Dependence Profiling for Speculative Optimizations. | Tong Chen, Jin Lin, Xiaoru Dai, Wei-Chung Hsu, Pen-Chung Yew |
| 2003 | CGO | Speculative Register Promotion Using Advanced Load Address Table (ALAT). | Jin Lin, Tong Chen, Wei-Chung Hsu, Pen-Chung Yew |
| 2003 | PLDI | A compiler framework for speculative analysis and optimizations. | Jin Lin, Tong Chen, Wei-Chung Hsu, Pen-Chung Yew, Roy Dz-Ching Ju, Tin-Fook Ngai, Sun Chan |
| 1991 | ICPP | A New Synchronization Mechanism. | Tong Chen, Chuan-Qi Zhu |