Psychological advertising: exploring user psychology for click prediction in sponsored search. - Taifeng Wang; Jiang Bian 002; Shusen Liu; Yuyu Zhang; Tie-Yan Liu (KDD, 2013)

Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches. - Xudong Liu; Bing Xu; Yuyu Zhang; Qiang Yan; Liang Pang; Qiang Li 024; Hanxiao Sun; Bin Wang 004 (CoRR, 2013)

Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. - Yuyu Zhang; Hanjun Dai; Chang Xu 008; Jun Feng; Taifeng Wang; Jiang Bian 002; Bin Wang 004; Tie-Yan Liu (AAAI, 2014)

Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform. - Yuyu Zhang; Liang Pang; Lei Shi 015; Bin Wang 004 (CoRR, 2014)

FLASH: Fast Bayesian Optimization for Data Analytic Pipelines. - Yuyu Zhang; Mohammad Taha Bahadori; Hang Su; Jimeng Sun 001 (KDD, 2016)

Mining of Multiple Fuzzy Frequent Itemsets with Transaction Insertion. - Tsu-Yang Wu; Jerry Chun-Wei Lin; Yuyu Zhang (ECC, 2017)

Learning Combinatorial Optimization Algorithms over Graphs. - Elias B. Khalil; Hanjun Dai; Yuyu Zhang; Bistra Dilkina; Le Song (NIPS, 2017)

Crowd Counting from a Still Image Using Multi-scale Fully Convolutional Network with Adaptive Human-Shaped Kernel. - Jinmeng Cao; Biao Yang; Yuyu Zhang; Ling Zou 002 (PSIVT Workshops, 2017)

On Road Vehicle Detection Using an Improved Faster RCNN Framework with Small-Size Region Up-Scaling Strategy. - Biao Yang; Yuyu Zhang; Jinmeng Cao; Ling Zou 002 (PSIVT Workshops, 2017)

Counting congested crowds under wild conditions with a multi-task Inception network. - Biao Yang; Jinmeng Cao; Nan Wang 013; Yuyu Zhang; Ling Zou 002 (Commun. Inf. Syst., 2017)

Variational Reasoning for Question Answering With Knowledge Graph. - Yuyu Zhang; Hanjun Dai; Zornitsa Kozareva; Alexander J. Smola; Le Song (AAAI, 2018)

A Metaheuristic Algorithm for Hiding Sensitive Itemsets. - Jerry Chun-Wei Lin; Yuyu Zhang; Philippe Fournier-Viger; Youcef Djenouri; Ji Zhang 001 (DEXA (2), 2018)

A Multiple Objective PSO-Based Approach for Data Sanitization. - Jerry Chun-Wei Lin; Yuyu Zhang; Chun-Hao Chen; Jimmy Ming-Tai Wu; Chien-Ming Chen 001; Tzung-Pei Hong (TAAI, 2018)

A learning-based ALOHA protocol for underwater acoustic sensor networks. - Linlin Wang; Can Lin; Keyu Chen; Yuyu Zhang (WUWNet, 2018)

Facial Expression Recognition Using Weighted Mixture Deep Neural Network Based on Double-Channel Facial Images. - Biao Yang; Jinmeng Cao; Rongrong Ni; Yuyu Zhang (IEEE Access, 2018)

Cross-Scene Counting Based on Domain Adaptation-Extreme Learning Machine. - Biao Yang; Jinmeng Cao; Nan Wang 013; Yuyu Zhang; Guozeng Cui (IEEE Access, 2018)

KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings. - Yuyu Zhang; Hanjun Dai; Kamil Toraman; Le Song (CoRR, 2018)

Efficiently Updating the Discovered Multiple Fuzzy Frequent Itemsets with Transaction Insertion. - Jerry Chun-Wei Lin; Yuyu Zhang; Philippe Fournier-Viger; Tzung-Pei Hong (Int. J. Fuzzy Syst., 2018)

Counting challenging crowds robustly using a multi-column multi-task convolutional neural network. - Biao Yang; Jinmeng Cao; Nan Wang 013; Yuyu Zhang; Ling Zou 002 (Signal Process. Image Commun., 2018)

Language Modeling with Shared Grammar. - Yuyu Zhang; Le Song (ACL (1), 2019)

A Swarm-based Data Sanitization Algorithm in Privacy-Preserving Data Mining. - Jimmy Ming-Tai Wu; Jerry Chun-Wei Lin; Youcef Djenouri; Philippe Fournier-Viger; Yuyu Zhang (CEC, 2019)

A Sanitization Approach to Secure Shared Data in an IoT Environment. - Jerry Chun-Wei Lin; Jimmy Ming-Tai Wu; Philippe Fournier-Viger; Youcef Djenouri; Chun-Hao Chen; Yuyu Zhang (IEEE Access, 2019)

Can Graph Neural Networks Help Logic Reasoning? - Yuyu Zhang; Xinshi Chen; Yuan Yang; Arun Ramamurthy; Bo Li; Yuan Qi 001; Le Song (CoRR, 2019)

Hiding sensitive itemsets with multiple objective optimization. - Jerry Chun-Wei Lin; Yuyu Zhang; Binbin Zhang; Philippe Fournier-Viger; Youcef Djenouri (Soft Comput., 2019)

Question Directed Graph Attention Network for Numerical Reasoning over Text. - Kunlong Chen; Weidi Xu; Xingyi Cheng; Zou Xiaochuan; Yuyu Zhang; Le Song; Taifeng Wang; Yuan Qi 001; Wei Chu (EMNLP (1), 2020)

Efficient Probabilistic Logic Reasoning with Graph Neural Networks. - Yuyu Zhang; Xinshi Chen; Yuan Yang; Arun Ramamurthy; Bo Li; Yuan Qi 001; Le Song (ICLR, 2020)

DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. - Ping Nie; Yuyu Zhang; Xiubo Geng; Arun Ramamurthy; Le Song; Daxin Jiang (SIGIR, 2020)

DDRQA: Dynamic Document Reranking for Open-domain Multi-hop Question Answering. - Yuyu Zhang; Ping Nie; Arun Ramamurthy; Le Song (CoRR, 2020)

Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients. - Yuyu Zhang; Heng Chi; Binghong Chen; Tsz Ling Elaine Tang; Lucia Mirabella; Le Song; Glaucio H. Paulino (IJCNN, 2021)

Answering Any-hop Open-domain Questions with Iterative Document Reranking. - Yuyu Zhang; Ping Nie; Arun Ramamurthy; Le Song (SIGIR, 2021)

Privacy-Preserving Multiobjective Sanitization Model in 6G IoT Environments. - Jerry Chun-Wei Lin; Gautam Srivastava 001; Yuyu Zhang; Youcef Djenouri; Moayad Aloqaily (IEEE Internet Things J., 2021)

GNN is a Counter? Revisiting GNN for Question Answering. - Kuan Wang; Yuyu Zhang; Diyi Yang; Le Song; Tao Qin (ICLR, 2022)

Knowledge Reasoning with Graph Neural Networks. - Yuyu Zhang (2022)

GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond. - Shen Zheng 001; Yuyu Zhang; Yijie Zhu; Chenguang Xi; Pengyang Gao; Xun Zhou; Kevin Chen-Chuan Chang (CoRR, 2023)

Incorporating visual analytics with knowledge construction in problem-based learning: a qualitative study. - Yuyu Zhang; Kan Kan Chan (Interact. Learn. Environ., 2023)

YOLO-SE: A Universal Real-Time Multi-Scale Object Detection Framework. - Yuyu Zhang; Xianhui Liu; Xiaodong Zhao (IST, 2024)

GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond. - Shen Zheng 001; Yuyu Zhang; Yijie Zhu; Chenguang Xi; Pengyang Gao; Zhou Xun; Kevin Chang 001 (NAACL-HLT (Findings), 2024)

Data mining and machine learning in HIV infection risk research: An overview and recommendations. - Qiwei Ge; Xinyu Lu; Run Jiang; Yuyu Zhang; Xun Zhuang (Artif. Intell. Medicine, 2024)

ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers. - Chen Zheng; Ke Sun; Da Tang; Yukun Ma; Yuyu Zhang; Chenguang Xi; Xun Zhou (CoRR, 2024)

FullStack Bench: Evaluating LLMs as Full Stack Coders. - Yao Cheng; Jianfeng Chen; Jie Chen; Li Chen; Liyu Chen; Wentao Chen; Zhengyu Chen; Shijie Geng; Aoyan Li; Bo Li; Bowen Li; Linyi Li; et al. (CoRR, 2024)

A new chiller fault diagnosis method under the imbalanced data environment via combining an improved generative adversarial network with an enhanced deep extreme learning machine. - Wenxin Yang; Hanyuan Zhang; Jit Bing Lim; Yuyu Zhang; Huanhuan Meng (Eng. Appl. Artif. Intell., 2024)

Enhanced multilayer extreme learning machine for imbalanced dataset: Optimized cost regulation and hierarchical parameter adaptation. - Fenglian Li; Yuyu Zhang; Weili Wang; Lixia Huang; Guijun Chen; Wenhui Jia (Inf. Sci., 2025)

Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving. - Daoguang Zan; Zhirong Huang; Wei Liu; Hanwu Chen; Linhao Zhang; Shulin Xin; Lu Chen; Qi Liu; Xiaojian Zhong; Aoyan Li; Siyao Liu; Yongsheng Xiao; et al. (CoRR, 2025)

Seed-Coder: Let the Code Model Curate Data for Itself. - Yuyu Zhang; Jing Su; Yifan Sun; Chenguang Xi; Xia Xiao; Shen Zheng; Anxiang Zhang; Kaibo Liu; Daoguang Zan; Tao Sun; Jinhua Zhu; Shulin Xin; et al. (CoRR, 2025)