| 2026 | AAAI | D-GARA: A Dynamic Benchmarking Framework for GUI Agent Robustness in Real-World Anomalies. | Sen Chen, Tong Zhao, Yi Bin, Fei Ma, Wenqi Shao, Zheng Wang |
| 2026 | AAAI | ST-VLM: A Spatial-to-Image Multimodal Spatial-Temporal Prediction Framework with Vision-Language Model. | Tong Zhao, Junping Du, Zhe Xue, Meiyu Liang, Aijing Li, Xiaolong Meng, Dandan Liu |
| 2026 | ACL | MemRec: Collaborative Memory-Augmented Agentic Recommender System. | Weixin Chen, Yuhan Zhao, Jingyuan Huang, Zihe Ye, Mingxuan Ju, Tong Zhao, Neil Shah, Li Chen, Yongfeng Zhang |
| 2026 | ACL | Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings. | Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao |
| 2026 | ACL | Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling. | Xingyue Huang, Xueying Ding, Mingxuan Ju, Yozen Liu, Neil Shah, Tong Zhao |
| 2026 | ACL | WISCA: A Lightweight Model Transition Method to Improve LLM Training via Weight Scaling. | Jiacheng Li, Jianchao Tan, Zhidong Yang, Pingwei Sun, Feiye Huo, Jiayu Qin, Xiangyu Zhang, Maoxin He, Guangming Tan, Weile Jia, Xunliang Cai, Tong Zhao |
| 2026 | ACL | R⌃3AG: Retriever Routing for Retrieval-Augmented Generation. | Tong Zhao, Yutao Zhu, Yucheng Tian, Zhicheng Dou |
| 2026 | ACL | ATIR: Towards Audio-Text Interleaved Contextual Retrieval. | Tong Zhao, Chenghao Zhang, Yutao Zhu, Zhicheng Dou |
| 2026 | DASFAA | CRAG: Causality-Aware Retrieval-Augmented Generation for Budget Auditing QA. | Gaofeng Xu, Heng Zhou, Guilin Qi, Xiaolong Ye, Tong Zhao, Songlin Zhai, Yongrui Chen, Shenwen Zhong |
| 2026 | SIGIR | Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices. | Clark Mingxuan Ju, Tong Zhao, Leonardo Neves, Liam Collins, Bhuvesh Kumar, Jiwen Ren, Lili Zhang, Wenfeng Zhuo, Wen Zhang, Xiao Bai, Jinchao Li, Karthik Iyer, Zihao Fan, Yilun Xu, Yiwen Chen, Peicheng Yu, Manish Malik, Neil Shah |
| 2026 | SIGIR | Beyond Unimodal Perspectives: Generative Retrieval with Multimodal Semantics. | Jing Zhu, Mingxuan Ju, Yozen Liu, Shubham Vij, Danai Koutra, Neil Shah, Tong Zhao |
| 2026 | WSDM | Sequential Data Augmentation for Generative Recommendation. | Geon Lee, Bhuvesh Kumar, Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins |
| 2025 | CIKM | Generative Recommendation with Semantic IDs: A Practitioner's Handbook. | Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah |
| 2025 | CIKM | MI4Rec: Pretrained Language Model based Cold-Start Recommendation with Meta-Item Embeddings. | Zaiyi Zheng, Yaochen Zhu, Haochen Liu, Mingxuan Ju, Tong Zhao, Neil Shah, Jundong Li |
| 2025 | CVPR | Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning. | Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah, Danai Koutra |
| 2025 | ICCV | Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models. | Beier Zhu, Ruoyu Wang, Tong Zhao, Hanwang Zhang, Chi Zhang |
| 2025 | ICML | Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks. | Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu |
| 2025 | ICML | Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning. | Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao |
| 2025 | IJCAI | CSAHFL: Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks. | Aijing Li, Junping Du, Dandan Liu, Yingxia Shao, Tong Zhao, Guanhua Ye |
| 2025 | ICRA | Is Linear Feedback on Smoothed Dynamics Sufficient for Stabilizing Contact-Rich Plans? | Yuki Shirai, Tong Zhao, H. J. Terry Suh, Huaijiang Zhu, Xinpei Ni, Jiuguang Wang, Max Simchowitz, Tao Pang |
| 2025 | KDD | GiGL: Large-Scale Graph Neural Networks at Snapchat. | Tong Zhao, Yozen Liu, Matthew Kolodner, Kyle Montemayor, Elham Ghazizadeh, Ankit Batra, Zihao Fan, Xiaobin Gao, Xuan Guo, Jiwen Ren, Serim Park, Peicheng Yu, Jun Yu, Shubham Vij, Neil Shah |
| 2025 | KDD | Revisiting Self-attention for Cross-domain Sequential Recommendation. | Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah |
| 2025 | KDD | Training Industry-scale GNNs with GiGL. | Yozen Liu, Tong Zhao, Matthew Kolodner, Kyle Montemayor, Shubham Vij, Neil Shah |
| 2025 | KDD | On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective. | Donald Loveland, Mingxuan Ju, Tong Zhao, Neil Shah, Danai Koutra |
| 2025 | KDD | Stable Representation Learning on Graphs from Multiple Environments with Structure Distribution Shift. | Tong Zhao, Daixin Wang, Zhiqiang Zhang, Yulin Kang, Jun Zhou |
| 2025 | WWW | FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research. | Jiajie Jin, Yutao Zhu, Zhicheng Dou, Guanting Dong, Xinyu Yang, Chenghao Zhang, Tong Zhao, Zhao Yang, Ji-Rong Wen |
| 2025 | WWW | IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification. | Zhixun Li, Dingshuo Chen, Tong Zhao, Daixin Wang, Hongrui Liu, Zhiqiang Zhang, Jun Zhou, Jeffrey Xu Yu |
| 2025 | WWW | Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank. | Donald Loveland, Xinyi Wu, Tong Zhao, Danai Koutra, Neil Shah, Mingxuan Ju |
| 2025 | WWW | Improving Out-of-Vocabulary Hashing in Recommendation Systems. | William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu |
| 2025 | WWW | GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. | Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Mingxuan Ju, Neil Shah, Tong Zhao |
| 2025 | SIGIR | Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat. | Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Yang Zhou, Sohail Nizam, Rengim Aykan Ozturk, Yvette Liu, Sen Yang, Manish Malik, Neil Shah |
| 2024 | EuroPar | Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation. | Guofeng Feng, Hongyu Wang, Zhuoqiang Guo, Mingzhen Li, Tong Zhao, Zhou Jin, Weile Jia, Guangming Tan, Ninghui Sun |
| 2024 | ICIP | Density-Guided Dense Pseudo Label Selection for Semi-Supervised Oriented Object Detection. | Tong Zhao, Qiang Fang, Shuohao Shi, Xin Xu |
| 2024 | ICLR | Learning from Graphs Beyond Message Passing Neural Networks. | Tong Zhao, Neil Shah, Elham Ghazizadeh |
| 2024 | ICLR | A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. | Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr |
| 2024 | ICLR | Revisiting Link Prediction: a data perspective. | Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang |
| 2024 | ICML | LLaGA: Large Language and Graph Assistant. | Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang |
| 2024 | ICML | Position: Graph Foundation Models Are Already Here. | Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang |
| 2024 | IROS | Similarity Distance-Based Label Assignment for Tiny Object Detection. | Shuohao Shi, Qiang Fang, Xin Xu, Tong Zhao |
| 2024 | PPoPP | Training one DeePMD Model in Minutes: a Step towards Online Learning. | Siyu Hu, Tong Zhao, Qiuchen Sha, Enji Li, Xiangyu Meng, Liping Liu, Lin-Wang Wang, Guangming Tan, Weile Jia |
| 2024 | SIGIR | Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion. | Pau Perng-Hwa Kung, Zihao Fan, Tong Zhao, Yozen Liu, Zhixin Lai, Jiahui Shi, Yan Wu, Jun Yu, Neil Shah, Ganesh Venkataraman |
| 2024 | UAI | Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning. | Xiao Wang, Jia Wang, Tong Zhao, Yijie Wang, Nan Zhang, Yong Zang, Sha Cao, Chi Zhang |
| 2024 | WSDM | The 5th International Workshop on Machine Learning on Graphs (MLoG). | Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed |
| 2023 | AAAI | RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy. | Siyu Hu, Wentao Zhang, Qiuchen Sha, Feng Pan, Lin-Wang Wang, Weile Jia, Guangming Tan, Tong Zhao |
| 2023 | ICLR | Empowering Graph Representation Learning with Test-Time Graph Transformation. | Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah |
| 2023 | ICLR | MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. | Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah |
| 2023 | ICLR | Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. | Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang |
| 2023 | ICLR | Link Prediction with Non-Contrastive Learning. | William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah |
| 2023 | ICML | Linkless Link Prediction via Relational Distillation. | Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao |
| 2023 | IROS | Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation. | Tong Zhao, Andrea Tagliabue, Jonathan P. How |
| 2023 | IGARSS | A Machine Learning Framework for High-Precision Retrieval of Offshore Sea Surface Temperature in the Eastern Liaodong Peninsula. | Jiaochan Hu, Tingting Tao, Jia Jia, Tong Zhao, Haoyang Yu |
| 2023 | KDD | Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation. | Pengtao Dang, Haiqi Zhu, Tingbo Guo, Changlin Wan, Tong Zhao, Paul Salama, Yijie Wang, Sha Cao, Chi Zhang |
| 2023 | KDD | Semi-Supervised Graph Imbalanced Regression. | Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang |
| 2023 | KDD | CARL-G: Clustering-Accelerated Representation Learning on Graphs. | William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis |
| 2023 | KDD | Large-Scale Graph Neural Networks: The Past and New Frontiers. | Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu |
| 2023 | SMC | HEROCA: Multimodal Sentiment Analysis Based on HEterogeneous Representation Optimization and Cross-Modal Attention. | Tong Zhao, Junjie Peng, Lan Wang, Cangzhi Zheng |
| 2023 | SIGGRAPH | Variational Shape Reconstruction via Quadric Error Metrics. | Tong Zhao, Laurent Bus, David Cohen-Steiner, Tamy Boubekeur, Jean-Marc Thiery, Pierre Alliez |
| 2023 | SC | Enhance the Strong Scaling of LAMMPS on Fugaku. | Jianxiong Li, Tong Zhao, Zhuoqiang Guo, Shunchen Shi, Lijun Liu, Guangming Tan, Weile Jia, Guojun Yuan, Zhan Wang |
| 2022 | ACL | Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. | Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang |
| 2022 | AISTATS | Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback. | Trong Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis |
| 2022 | EMNLP | Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. | Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye |
| 2022 | ICML | Learning from Counterfactual Links for Link Prediction. | Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang |
| 2022 | IROS | Beyond the Limit Automated Driving with Performance Constrained Reachability Analysis. | Tong Zhao, Ekim Yurtsever, Giorgio Rizzoni |
| 2022 | KDD | Graph Rationalization with Environment-based Augmentations. | Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang |
| 2022 | NAACL | Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. | Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu |
| 2022 | WWW | Multi-task GNN for Substitute Identification. | Tong Jian, Fan Yang, Zhen Zuo, Wenbo Wang, Michinari Momma, Tong Zhao, Chaosheng Dong, Yan Gao, Yi Sun |
| 2022 | WWW | AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions. | Quoc-Tuan Truong, Tong Zhao, Changhe Yuan, Jin Li, Jim Chan, Soo-Min Pantel, Hady W. Lauw |
| 2022 | WWW | RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. | Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher |
| 2022 | WWW | Personalized Complementary Product Recommendation. | An Yan, Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao, Yi Sun, Julian J. McAuley |
| 2022 | SIGIR | Coarse-to-Fine Sparse Sequential Recommendation. | Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley |
| 2022 | UAI | Bias aware probabilistic Boolean matrix factorization. | Changlin Wan, Pengtao Dang, Tong Zhao, Yong Zang, Chi Zhang, Sha Cao |
| 2021 | AAAI | Data Augmentation for Graph Neural Networks. | Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah |
| 2021 | CIKM | A Unified View on Graph Neural Networks as Graph Signal Denoising. | Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah |
| 2021 | CIKM | Action Sequence Augmentation for Early Graph-based Anomaly Detection. | Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang |
| 2021 | EMNLP | End-to-End Conversational Search for Online Shopping with Utterance Transfer. | Liqiang Xiao, Jun Ma, Xin Luna Dong, Pascual Martnez-Gmez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, Yaohui Jin |
| 2021 | EMNLP | Sentence-Permuted Paragraph Generation. | Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang |
| 2021 | ICDM | Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence. | Wennan Chang, Pengdao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao |
| 2021 | ICDM | Dynamic Attributed Graph Prediction with Conditional Normalizing Flows. | Daheng Wang, Tong Zhao, Nitesh V. Chawla, Meng Jiang |
| 2021 | ICNP | SketchINT: Empowering INT with TowerSketch for Per-flow Per-switch Measurement. | Kaicheng Yang, Yuanpeng Li, Zirui Liu, Tong Yang, Yu Zhou, Jintao He, Jing'an Xue, Tong Zhao, Zhengyi Jia, Yongqiang Yang |
| 2021 | NAACL | Graph-based Multilingual Product Retrieval in E-Commerce Search. | Hanqing Lu, Youna Hu, Tong Zhao, Tony Wu, Yiwei Song, Bing Yin |
| 2021 | RecSys | EX3: Explainable Attribute-aware Item-set Recommendations. | Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang |
| 2020 | AAAI | Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation. | Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang |
| 2020 | CIKM | Error-Bounded Graph Anomaly Loss for GNNs. | Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang |
| 2020 | CIKM | P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. | Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun, Wei Wang |
| 2020 | CIKM | Denoising Individual Bias for Fairer Binary Submatrix Detection. | Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang |
| 2020 | KDD | AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. | Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han |
| 2020 | KDD | Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. | Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han |
| 2020 | KDD | MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. | Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos |
| 2020 | WWW | Identifying Referential Intention with Heterogeneous Contexts. | Wenhao Yu, Mengxia Yu, Tong Zhao, Meng Jiang |
| 2019 | EMNLP | Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. | Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang |
| 2019 | KDD | The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. | Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang |
| 2019 | KDD | Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. | Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos |
| 2018 | DASC | ID Hopping CAN Controller Design with Obfuscated Priority Assignment. | Shan Ding, Tong Zhao, Ryo Kurachi, Gang Zeng |
| 2018 | IJCAI | Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. | Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He |
| 2017 | IJCNN | It's about time! Modeling customer behaviors as the secretary problem in daily deal websites. | Tong Zhao, Mandy Hu, Razieh Rahimi, Irwin King |
| 2017 | IJCNN | Improving recommendation accuracy using networks of substitutable and complementary products. | Tong Zhao, Julian J. McAuley, Mengya Li, Irwin King |
| 2017 | WWW | Geo-Teaser: Geo-Temporal Sequential Embedding Rank for Point-of-interest Recommendation. | Shenglin Zhao, Tong Zhao, Irwin King, Michael R. Lyu |
| 2016 | AAAI | STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation. | Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King |
| 2016 | CIKM | Constructing Reliable Gradient Exploration for Online Learning to Rank. | Tong Zhao, Irwin King |
| 2016 | ICIP | Video system for human attribute analysis using compact convolutional neural network. | Yi Yang, Feng Chen, Xiaoming Chen, Yan Dai, Zhenyang Chen, Jiang Ji, Tong Zhao |
| 2016 | ICONIP | Locality-Sensitive Linear Bandit Model for Online Social Recommendation. | Tong Zhao, Irwin King |
| 2016 | IJCAI | Modeling the Homophily Effect between Links and Communities for Overlapping Community Detection. | Hongyi Zhang, Tong Zhao, Irwin King, Michael R. Lyu |
| 2016 | IJCNN | A direct fingerprint minutiae extraction approach based on convolutional neural networks. | Lu Jiang, Tong Zhao, Chaochao Bai, A. Yong, Min Wu |
| 2016 | ISCAS | A 1.27mW 20Gbps 1: 16 DEMUX with a symmetrical-edge-delay sense amplifier. | Shihao Li, Weixin Gai, Xiao Xiang, Liangxiao Tang, Jichao Huang, Tong Zhao, Xiaoting Zhi |
| 2016 | IWQoS | The detection of physical attacks against iBeacon transmitters. | Chen-Hao Liu, Peng Zhao, Kaigui Bian, Tong Zhao, Yan Wei |
| 2016 | VTC | Trident: Context-Based Reverse Authentication for Phishing AP Detection in Commodity WiFi Networks. | Peng Zhao, Kaigui Bian, Ping Chen, Tong Zhao, Yichun Duan, Wei Yan |
| 2016 | VTC | A Link Reliability Model of Metropolitan VANETs for Data Dissemination. | Tong Zhao, Yuan Yuan, Yichun Duan, Wei Yan, Ching-Yao Chan |
| 2016 | WCNC | Quantifying caching effects in urban VANETs. | ChaoYi Bian, Tong Zhao, Xiaoming Li, Xiaojiang Du, Mohsen Guizani, Wei Yan |
| 2016 | WWW | Trust-aware Peer Assessment using Multi-armed Bandit Algorithms. | Hou Pong Chan, Tong Zhao, Irwin King |
| 2015 | CIKM | Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation. | Tong Zhao, Julian J. McAuley, Irwin King |
| 2015 | CIKM | Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks. | Tong Zhao, H. Vicky Zhao, Irwin King |
| 2015 | GLOBECOM | The Hidden Fine-Grained State Machine in Cellular Network for Simultaneous Voice and Data Services. | Wenshan Fu, Kaigui Bian, Tong Zhao, Wei Yan |
| 2015 | INFOCOM | Improving the QoE of mobile data access for long-lived connections in cellular networks. | Zehui Li, Kaigui Bian, Tong Zhao, Xiaoming Li |
| 2015 | LANMAN | Boosting named data networking for efficient packet forwarding in urban VANET scenarios. | ChaoYi Bian, Tong Zhao, Xiaoming Li, Wei Yan |
| 2014 | CIKM | Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering. | Tong Zhao, Julian J. McAuley, Irwin King |
| 2014 | IJCNN | Exploiting homophily-based implicit social network to improve recommendation performance. | Tong Zhao, Junjie Hu, Pinjia He, Hang Fan, Michael R. Lyu, Irwin King |
| 2013 | CIKM | Social recommendation incorporating topic mining and social trust analysis. | Tong Zhao, Chunping Li, Mengya Li, Qiang Ding, Li Li |
| 2013 | VTC | GAMLL: Gateway Assisted Multicast Algorithm Towards Low Latency for Wireless Mesh Networks. | Yuan Yuan, ChaoYi Bian, Tong Zhao, Wei Yan |
| 2013 | SDM | Topic-Level Expert Modeling in Community Question Answering. | Tong Zhao, Naiwen Bian, Chunping Li, Mengya Li |
| 2012 | PDCAT | A QoS Scheduling Scheme with Availability Constraint in Distributed Systems. | Tong Zhao, Kenli Li, Zheng Xiao, Xiao Qin |
| 2011 | ICRA | Steady state and dynamic modeling of RO desalination modules and system using EES. | Tong Zhao, Ran Niu, Ming Su, Todd Anderson |
| 2010 | ICARCV | Study on the structure and control of a dexterous hand. | Hao Liu, Tao Wang, Wei Fan, Tong Zhao |
| 2010 | VTC | MI-VANET: A New Mobile Infrastructure Based VANET Architecture for Urban Environment. | Jie Luo, Xinxing Gu, Tong Zhao, Wei Yan |
| 2009 | VTC | An Opportunistic Approach to Enhance the Geo-graphical Source Routing Protocol for Vehicular Ad hoc Networks. | Zhongyi Liu, Jin-Guo Zhou, Tong Zhao, Wei Yan |
| 2008 | APNOMS | Least Interference Optimization Based Dynamic Multi-path Routing Algorithm in ASON. | Tong Zhao, Yueming Lu, Yuefeng Ji |
| 2008 | SAC | A bandwidth management scheme support for real-time applications in wireless mesh networks. | Yan Wei, Ren Maosheng, Tong Zhao, Xiaoming Li |
| 2007 | CISS | Coverage-Based Information Retrieval for Lifetime Maximization in Sensor Networks. | Tong Zhao, Qing Zhao |
| 2007 | GLOBECOM | MEMO: An Applied Wireless Mesh Network with Client Support and Mobility Management. | Maoshen Ren, Chao Liu, Huizhou Zhao, Tong Zhao, Wei Yan |
| 2007 | ICASSP | Adaptive Polarized Waveform Design for Target Tracking using Electromagnetic Vector Sensors. | Tong Zhao, Martin Hurtado, Arye Nehorai |
| 2007 | ISPA | A Clustering-Based Channel Assignment Algorithm and Routing Metric for Multi-channel Wireless Mesh Networks. | Chao Liu, Zhongyi Liu, Yongqiang Liu, Huizhou Zhao, Tong Zhao, Wei Yan |
| 2006 | ICASSP | Localization of Diffusive Sources Using Distributed Sequential Bayesian Methods in Wireless Sensor Networks. | Tong Zhao, Arye Nehorai |
| 2006 | LCN | Wireless Multi-hop Network Scenario Emulation with MinMax Error. | Huizhou Zhao, Wei Yan, Tong Zhao, Xiaoming Li |
| 2004 | ICASSP | New data detection and symbol timing recovery approaches for burst optical signal transmission. | Tong Zhao, Arye Nehorai, Boaz Porat |
| 1999 | IJCNN | Fuzzy speech recognition. | Tong Zhao, Peng-Yung Woo |