| 2026 | AAAI | Symphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-Experts. | Qi Wang, Hanyang Peng, Yue Yu |
| 2026 | AAAI | Mitigating Entity Hallucinations in 3D Radiology Report Generation via Dual-Stream Alignment. | Lingyu Zhou, Yue Yu, Zhang Yi, Xiuyuan Xu |
| 2026 | ACL | AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following. | Yun He, Wenzhe Li, Hejia Zhang, Songlin Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Xiaoliang Peng, Beibin Li, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan Kumar Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Hassan Awadalla, Manaal Faruqui |
| 2026 | ACL | DPC: Training-Free Text-to-SQL Candidate Selection via Dual-Paradigm Consistency. | Boyan Li, Ou Ocean Kun Hei, Yue Yu, Yuyu Luo |
| 2026 | ACL | Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching. | Bo Lv, Jingbo Sun, Jianwei Lv, Chen Tang, Shaojie Zhang, Nayu Liu, Guoxin Yu, Zihao Li, Qichao Zhang, Dongbin Zhao, Ping Luo, Yue Yu |
| 2026 | ACL | RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation. | Ran Xu, Yuchen Zhuang, Yue Yu, Haoyu Wang, Wenqi Shi, Carl Yang |
| 2026 | CHI | "It Seems to Understand My Heart": An Empirical Study of Persona-Driven Persuasive AI Agent for Aging-in-Place in Singapore. | Bo Gao, Zhiwei Zeng, Yue Yu, Iain Philip Werry, Robin Chung Leung Chan, Ming Chen, Huiguo Zhang, Bo Huang, Jun Ji, Cyril Leung, Chunyan Miao |
| 2026 | CHI | Designing for Staying with Emotions: An AR System Driven by Generative AI to Support Emotional Participation in Children with Autism. | Yue Yu, Zhitao Yu |
| 2026 | CRYPTO | Succinct Non-interactive Arguments for Distributions. | Zhengzhong Jin, Mingqi Lu, Bo Peng, Yue Yu |
| 2026 | EuroSys | Crimson: Collaborative Parameter Updates for Efficient Pipeline Training of Large Language Models. | Yapeng Jiang, Wuhui Chen, Ganhong Huang, Yuzhou Huang, Zicong Hong, Song Guo, Yue Yu |
| 2026 | EuroSys | swKokkos: An Athread Backend for Enhanced Kokkos with the Sunway Heterogeneous Architecture. | Junlin Wei, Jinrong Jiang, Wu Wang, Chen Li, Yehong Zhang, Yue Yu, Lian Zhao, Xiang Han, Zhenjia Li, Feng Zhang, Haoyuan Zhang, Yidi Bai, Maoxue Yu, Kai Xu, Hailong Liu, Xuebin Chi |
| 2026 | EuroSys | Efficient Data Passing for Serverless Inference Workflows: A GPU-Centric Approach. | Hao Wu, Yaochen Liu, Minchen Yu, Qizhen Weng, Junxiao Deng, Yue Yu, Hao Fan, Song Wu, Wei Wang, Hai Jin |
| 2026 | FAST | ParaSync: Exploiting Fine-Grained Parallelism for Efficient File Synchronization. | Zhihao Zhang, Lu Tang, Huiba Li, Yue Yu, Guangtao Xue, Jiwu Shu, Yiming Zhang |
| 2026 | ICDE | Semantic Compression for Sound and Complete Query Answering Over Knowledge Graphs. | Junhua Ma, Jianfeng Du, Hai Wan, Yue Yu, Kunxun Qi, Weilin Luo, Yanan Liu |
| 2026 | WWW | Fate: Fasss sEsdge Inference of Mixture-of-Experts Models via Cross-Layer Gate. | Zhiyuan Fang, Xingfan Yu, Yuegui Huang, Zicong Hong, Yufeng Lyu, Wuhui Chen, Yue Yu, Fan Yu |
| 2026 | SIGIR | Dynamic Memory Forest: Constructing and Tracing Conversational Trajectories for Long-Term Conversation. | Cai Ke, Bin Liang, Xin Liu, Yue Yu, Hui Wang, Ruifeng Xu |
| 2026 | WSDM | C | Yue Yu, Ting Bai, Hengzhi Lan, Li Qian, Li Peng, Jie Wu, Wei Liu, Jian Luan, Chuan Shi |
| 2025 | AAAI | FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network. | Jiayu Wang, Yue Yu, Jingjing Chen, Qi Dai, Yu-Gang Jiang |
| 2025 | AAAI | Correcting Large Language Model Behavior via Influence Function. | Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao Zhai, Hanyang Peng, Yu Lei, Yue Yu, Hui Wang, Bin Liang, Lin Gui, Ruifeng Xu |
| 2025 | ACL | RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization. | Tianci Liu, Haoxiang Jiang, Tianze Wang, Ran Xu, Yue Yu, Linjun Zhang, Tuo Zhao, Haoyu Wang |
| 2025 | ACL | CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference. | Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu |
| 2025 | ACL | Whether LLMs Know If They Know: Identifying Knowledge Boundaries via Debiased Historical In-Context Learning. | Bo Lv, Nayu Liu, Yang Shen, Xin Liu, Ping Luo, Yue Yu |
| 2025 | ACL | COPR: Continual Human Preference Learning via Optimal Policy Regularization. | Han Zhang, Lin Gui, Yu Lei, Yuanzhao Zhai, Yehong Zhang, Zhuo Zhang, Yulan He, Hui Wang, Yue Yu, Kam-Fai Wong, Bin Liang, Ruifeng Xu |
| 2025 | APSEC | caSPESC2Vyper: Conformant and Automatic Generation from DeFi SPESC Legal Contract to Vyper Smart Contract. | Yue Yu, Jiahui Wang, Bo Meng, Dejun Wang |
| 2025 | ASPLOS | Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline. | Zhiyuan Fang, Yuegui Huang, Zicong Hong, Yufeng Lyu, Wuhui Chen, Yue Yu, Fan Yu, Zibin Zheng |
| 2025 | CGI | Scale-Aware Guidance Network for SAR Ship Detection. | Wenjing Jiang, Ming Liu, Yue Yu, Qi Hu |
| 2025 | CHI | LuxKnit: Fabricating Interactive Display Textiles Integrated with Sensing by Machine Knitting. | Tongyan Wang, Mohan Chi, Yue Yu, Kedi Yan, Mo Li, Yiyue Luo, Rua Mae Williams |
| 2025 | CIKM | OBDD-NET: End-to-End Learning of Ordered Binary Decision Diagrams. | Junming Qiu, Rongzhen Ye, Weilin Luo, Kunxun Qi, Hai Wan, Yue Yu |
| 2025 | COLING | Chain-of-Specificity: Enhancing Task-Specific Constraint Adherence in Large Language Models. | Kaiwen Wei, Jiang Zhong, Hongzhi Zhang, Fuzheng Zhang, Di Zhang, Li Jin, Yue Yu, Jingyuan Zhang |
| 2025 | CVPR | MagicQuill: An Intelligent Interactive Image Editing System. | Zichen Liu, Yue Yu, Hao Ouyang, Qiuyu Wang, Ka Leong Cheng, Wen Wang, Zhiheng Liu, Qifeng Chen, Yujun Shen |
| 2025 | DCC | Intra Prediction Mode Using Extrapolation Filter. | Luhang Xu, Yue Yu, Haoping Yu, Dong Wang |
| 2025 | EMNLP | Flexibly Utilize Memory for Long-Term Conversation via a Fragment-then-Compose Framework. | Cai Ke, Yiming Du, Bin Liang, Yifan Xiang, Lin Gui, Zhongyang Li, Baojun Wang, Yue Yu, Hui Wang, Kam-Fai Wong, Ruifeng Xu |
| 2025 | ICASSP | Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering Data. | Jingran Xie, Shun Lei, Yue Yu, Yang Xiang, Hui Wang, Xixin Wu, Zhiyong Wu |
| 2025 | ICASSP | Unlocking Financial Statement Fraud Detection: Tracking Disclosure Changes via Representation Learning. | Yue Yu, Zhen Wu, Yanni Han, Zhuoqun Li, Wenqi Wei |
| 2025 | ICASSP | Spatial-Frequency Information Interaction Diffusion for SAR Colorization. | Xupei Zhang, Hanlin Qin, Jingjing Li, Jinni Geng, Zihan Gao, Yue Yu |
| 2025 | ICCV | VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting. | Hao Chen, Tao Han, Song Guo, Jie Zhang, Yonghan Dong, Yue Yu, Lei Bai |
| 2025 | ICCV | 4D Visual Pre-Training for Robot Learning. | Chengkai Hou, Yanjie Ze, Yankai Fu, Zeyu Gao, Songbo Hu, Yue Yu, Shanghang Zhang, Huazhe Xu |
| 2025 | ICCV | Dynamic Typography: Bringing Text to Life via Video Diffusion Prior. | Zichen Liu, Yihao Meng, Hao Ouyang, Yue Yu, Bolin Zhao, Daniel Cohen-Or, Huamin Qu |
| 2025 | ICIP | A Physics-Guided Smoothing Method For Material Modeling With Digital Image Correlation (DIC) Measurements. | Jihong Wang, Chung-Hao Lee, William Richardson, Yue Yu |
| 2025 | ICLR | Centrality-guided Pre-training for Graph. | Bin Liang, Shiwei Chen, Lin Gui, Hui Wang, Yue Yu, Ruifeng Xu, Kam-Fai Wong |
| 2025 | ICLR | GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding. | Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Huichi Zhou, Qihui Zhang, Zhigang He, Yilin Bai, Chujie Gao, Liuyi Chen, Yiqiang Li, Chenlong Wang, Yue Yu, Tianshuo Zhou, Zhen Li, Yi Gui, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun |
| 2025 | ICLR | Causally Motivated Sycophancy Mitigation for Large Language Models. | Haoxi Li, Xueyang Tang, Jie Zhang, Song Guo, Sikai Bai, Peiran Dong, Yue Yu |
| 2025 | ICLR | Efficient Evolutionary Search Over Chemical Space with Large Language Models. | Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Aln Aspuru-Guzik, Kirill Neklyudov, Chao Zhang |
| 2025 | ICML | Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery. | Ning Liu, Yue Yu |
| 2025 | IJCNN | BDA-YOLO: Enhancing Thyroid Nodule Detection and Segmentation via Dynamic and Bidirectional Attention. | Yue Yu, Ruizuan Bao, Jingjun Gu, Zhaohan Zhang, Jiajun Bu |
| 2025 | IJCNN | SwinFusion-XL: Multi-Scale Fusion and Cross xLSTM for Enhanced Brain Tumor Segmentation. | Zhaohan Zhang, Ruizuan Bao, Jingjun Gu, Yue Yu, Jiajun Bu |
| 2025 | INDIN | A Multiple-instance Learning Framework under Multi-sensor Data for Mechanical Fault Diagnosis. | Yue Yu, Chengzhu Cui, Yonghui Xu, Qian Zhao, Youqian He |
| 2025 | Interspeech | Enhancing Generalization of Speech Large Language Models with Multi-Task Behavior Imitation and Speech-Text Interleaving. | Jingran Xie, Xiang Li, Hui Wang, Yue Yu, Yang Xiang, Xixin Wu, Zhiyong Wu |
| 2025 | IROS | MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games. | Maulik Bhatt, Iman Askari, Yue Yu, Ufuk Topcu, Huazhen Fang, Negar Mehr |
| 2025 | ICSE | Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering. | Tanghaoran Zhang, Yue Yu, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu, Zhang Zhang, Yuxin Zhao |
| 2025 | KDD | Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks? | Zhongjian Zhang, Xiao Wang, Huichi Zhou, Yue Yu, Mengmei Zhang, Cheng Yang, Chuan Shi |
| 2025 | NAACL | Self-Generated Critiques Boost Reward Modeling for Language Models. | Yue Yu, Zhengxing Chen, Aston Zhang, Liang Tan, Chenguang Zhu, Richard Yuanzhe Pang, Yundi Qian, Xuewei Wang, Suchin Gururangan, Chao Zhang, Melanie Kambadur, Dhruv Mahajan, Rui Hou |
| 2025 | SIGIR | Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models. | Yuanzhao Zhai, Zhuo Zhang, Cheng Yang, Kele Xu, Yue Yu, Wei Li, Hui Wang, Zenglin Xu, Dawei Feng, Bo Ding, Huaimin Wang |
| 2025 | SC | Kilometer-Scale AI-Powered and Performance-Portable Earth System Model (AP3ESM) to Achieve Year-Scale Simulation Speed on Heterogeneous Supercomputers. | Kai Xu, Maoxue Yu, Yuhu Chen, Jie Gao, Shuang Wang, Jiaying Song, Xiaohui Duan, Junwei Wei, Jiangfeng Yu, Hailong Liu, Jinrong Jiang, Yi Zhang, Pengfei Lin, Tianyi Wang, Pengfei Wang, Weipeng Zheng, Jingwei Xie, Jiakang Zhang, Zilu Liu, Xiaoyu Jin, Jilin Wei, Qixin Chang, Qingxia Lin, Yanzhi Zhou, Weiguo Liu, Wei Xue, Yiwen Li, Haohuan Fu, Yue Yu, Xuebin Chi, Lixin Wu |
| 2025 | UAI | Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation. | Runze Zhao, Yue Yu, Adams Yiyue Zhu, Chen Yang, Dongruo Zhou |
| 2025 | UIST | InSituTale: Enhancing Augmented Data Storytelling with Physical Objects. | Kentaro Takahira, Yue Yu, Takanori Fujiwara, Ryo Suzuki, Huamin Qu |
| 2025 | USENIX | Obscura: Concealing Recomputation Overhead in Training of Large Language Models with Bubble-filling Pipeline Transformation. | Yuzhou Huang, Yapeng Jiang, Zicong Hong, Wuhui Chen, Bin Wang, Weixi Zhu, Yue Yu, Zibin Zheng |
| 2025 | USENIX | DEEPSERVE: Serverless Large Language Model Serving at Scale. | Junhao Hu, Jiang Xu, Zhixia Liu, Yulong He, Yuetao Chen, Hao Xu, Jiang Liu, Jie Meng, Baoquan Zhang, Shining Wan, Gengyuan Dan, Zhiyu Dong, Zhihao Ren, Changhong Liu, Tao Xie, Dayun Lin, Qin Zhang, Yue Yu, Hao Feng, Xusheng Chen, Yizhou Shan |
| 2024 | AAAI | EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection. | Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu |
| 2024 | AAAI | Towards Fair Graph Federated Learning via Incentive Mechanisms. | Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang |
| 2024 | AAAI | Effective Causal Discovery under Identifiable Heteroscedastic Noise Model. | Naiyu Yin, Tian Gao, Yue Yu, Qiang Ji |
| 2024 | ACL | ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models. | Yuzhao Heng, Chunyuan Deng, Yitong Li, Yue Yu, Yinghao Li, Rongzhi Zhang, Chao Zhang |
| 2024 | ACL | Multi-modal Stance Detection: New Datasets and Model. | Bin Liang, Ang Li, Jingqian Zhao, Lin Gui, Min Yang, Yue Yu, Kam-Fai Wong, Ruifeng Xu |
| 2024 | ACL | SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC. | Jinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu |
| 2024 | ACL | URG: A Unified Ranking and Generation Method for Ensembling Language Models. | Bo Lv, Chen Tang, Yanan Zhang, Xin Liu, Ping Luo, Yue Yu |
| 2024 | ACL | Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. | Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang |
| 2024 | ACL | RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. | Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May Dongmei Wang, Joyce C. Ho, Carl Yang |
| 2024 | ACL | Predicting Text Preference Via Structured Comparative Reasoning. | Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Charumathi Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky |
| 2024 | ACL | Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. | Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky |
| 2024 | ACL | ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling. | Lingxi Zhang, Yue Yu, Kuan Wang, Chao Zhang |
| 2024 | CCS | Internet's Invisible Enemy: Detecting and Measuring Web Cache Poisoning in the Wild. | Yuejia Liang, Jianjun Chen, Run Guo, Kaiwen Shen, Hui Jiang, Man Hou, Yue Yu, Haixin Duan |
| 2024 | COLING | A Lifelong Multilingual Multi-granularity Semantic Alignment Approach via Maximum Co-occurrence Probability. | Xin Liu, Hongwei Sun, Shaojie Dai, Bo Lv, Youcheng Pan, Hui Wang, Yue Yu |
| 2024 | COLING | TAeKD: Teacher Assistant Enhanced Knowledge Distillation for Closed-Source Multilingual Neural Machine Translation. | Bo Lv, Xin Liu, Kaiwen Wei, Ping Luo, Yue Yu |
| 2024 | COLING | Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding. | Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu |
| 2024 | DCC | Intra Template Matching Prediction with Fusion Techniques. | Fangjun Pu, Taoran Lu, Peng Yin, Sean McCarthy, Jeeva Raj Arumugam, Ashwin Natesan, Vaibhav Valvaiker, Jay N. Shingala, Xinwei Li, Ru-Ling Liao, Jie Chen, Yan Ye, Fan Wang, Lai Zhang, Yue Yu, Haoping Yu, Dong Wang |
| 2024 | EACL | HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification. | Vidit Jain, Mukund Rungta, Yuchen Zhuang, Yue Yu, Zeyu Wang, Mu Gao, Jeffrey Skolnick, Chao Zhang |
| 2024 | ECAI | Model Provenance via Model DNA. | Xin Mu, Yu Wang, Yehong Zhang, Jiaqi Zhang, Hui Wang, Yang Xiang, Yue Yu |
| 2024 | ECCV | GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning. | Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang |
| 2024 | ECCV | Integrating Markov Blanket Discovery Into Causal Representation Learning for Domain Generalization. | Naiyu Yin, Hanjing Wang, Yue Yu, Tian Gao, Amit Dhurandhar, Qiang Ji |
| 2024 | EMNLP | BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. | Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang |
| 2024 | EMNLP | MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning. | Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang |
| 2024 | EMNLP | EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. | Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang |
| 2024 | EMNLP | Rethinking the Evaluation of In-Context Learning for LLMs. | Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao |
| 2024 | EuroSys | Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation. | Zicong Hong, Jian Lin, Song Guo, Sifu Luo, Wuhui Chen, Roger Wattenhofer, Yue Yu |
| 2024 | ICLR | At Which Training Stage Does Code Data Help LLMs Reasoning? | Yingwei Ma, Yue Liu, Yue Yu, Yuanliang Zhang, Yu Jiang, Changjian Wang, Shanshan Li |
| 2024 | ICML | Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws. | Ning Liu, Yiming Fan, Xianyi Zeng, Milan Klwer, Lu Zhang, Yue Yu |
| 2024 | ICML | Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization. | Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu |
| 2024 | ICML | Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind. | Mo Yu, Qiujing Wang, Shunchi Zhang, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Liyan Xu, Jing Li, Yue Yu, Jie Zhou |
| 2024 | ICML | Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring. | Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, Xiao-Ming Wu |
| 2024 | IJCNN | Multilevel Temporal-Spectral Fusion Network for Multivariate Time Series Classification. | Xulin Huang, Shizhe Ding, Xinru Zhang, Jingyan Sui, Yue Yu, Dongbo Bu |
| 2024 | ICPR | Efficient Nonlinear DAG Learning Under Projection Framework. | Naiyu Yin, Yue Yu, Tian Gao, Qiang Ji |
| 2024 | IJCNN | Enhancing Code Representation Learning for Code Search with Abstract Code Semantics. | Shaojie Zhang, Yiwei Ding, Enrui Hu, Yue Yu, Yu Zhang |
| 2024 | INDIN | PMSM System Identification by Knowledge-informed Machine Learning. | Yue Yu, Jiageng Tong, Jinhui Xia, Jinya Su, Shihua Li |
| 2024 | IPIN | A Robust LSTM-based Step Detection Algorithm based on Low-cost Wearable Sensors. | Xinrui Li, Kexin Tang, Yida Zhou, Shiyu Bai, Zhewei Liu, Yue Yu |
| 2024 | MICCAI | SiFT: A Serial Framework with Textual Guidance for Federated Learning. | Xuyang Li, Weizhuo Zhang, Yue Yu, Wei-Shi Zheng, Tong Zhang, Ruixuan Wang |
| 2024 | WWW | Endowing Pre-trained Graph Models with Provable Fairness. | Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi |
| 2024 | SC | A Performance-Portable Kilometer-Scale Global Ocean Model on ORISE and New Sunway Heterogeneous Supercomputers. | Junlin Wei, Xiang Han, Jiangfeng Yu, Jinrong Jiang, Hailong Liu, Pengfei Lin, Maoxue Yu, Kai Xu, Lian Zhao, Pengfei Wang, Weipeng Zheng, Jingwei Xie, Yanzhi Zhou, Tao Zhang, Feng Zhang, Yehong Zhang, Yue Yu, Yuzhu Wang, Yidi Bai, Chen Li, Zipeng Yu, Haoyu Deng, Yaxin Li, Xuebin Chi |
| 2024 | USENIX | StreamBox: A Lightweight GPU SandBox for Serverless Inference Workflow. | Hao Wu, Yue Yu, Junxiao Deng, Shadi Ibrahim, Song Wu, Hao Fan, Ziyue Cheng, Hai Jin |
| 2023 | AAAI | Neighborhood-Regularized Self-Training for Learning with Few Labels. | Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang |
| 2023 | ACL | DSP: Discriminative Soft Prompts for Zero-Shot Entity and Relation Extraction. | Bo Lv, Xin Liu, Shaojie Dai, Nayu Liu, Fan Yang, Ping Luo, Yue Yu |
| 2023 | ACL | Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. | Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang |
| 2023 | ACL | ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. | Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang |
| 2023 | ACL | FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models. | Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu |
| 2023 | AISTATS | INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation. | Ning Liu, Yue Yu, Huaiqian You, Neeraj Tatikola |
| 2023 | APSEC | On the Reliability of Coverage Data for Fault Localization. | Huan Xie, Maojin Li, Yan Lei, Jian Hu, Shanshan Li, Xiaoguang Mao, Yue Yu |
| 2023 | CGI | Efficient Semantic-Guidance High-Resolution Video Matting. | Yue Yu, Ding Li, Yulin Yang |
| 2023 | CogSci | Failure Mindset is Associated with Achievement Orientation Among Singaporean Children. | Trena Chan, Mary Simpson, Tamar Kushnir, Yue Yu |
| 2023 | CogSci | Parental Mind-mindedness and Autonomy Granting are Associated with Singaporean Children's Free Will Beliefs. | Jing Ting Ong, Xiao Pan Ding, Yue Yu |
| 2023 | ICANN | Limited Information Opponent Modeling. | Yongliang Lv, Yuanqiang Yu, Yan Zheng, Jianye Hao, Yongming Wen, Yue Yu |
| 2023 | IPIN | Factor Graph Optimization-based Indoor Pedestrian SLAM with Probabilistic Exact Activity Loop Closures using Smartphone. | Shiyu Bai, Weisong Wen, Li-Ta Hsu, Yue Yu |
| 2023 | IPIN | An LSTM Approach for Modelling Error of Smartphone-reported GNSS Location Under Mixed LOS/NLOS Environments. | Yue Yu, Wenzhong Shi, Zhewei Liu, Shiyu Bai, Liang Chen, Ruizhi Chen |
| 2023 | ICSE | Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension. | Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo, Yue Yu |
| 2023 | ICSE | Understanding and Detecting On-The-Fly Configuration Bugs. | Teng Wang, Zhouyang Jia, Shanshan Li, Si Zheng, Yue Yu, Erci Xu, Shaoliang Peng, Xiangke Liao |
| 2023 | ISSRE | A Two-Stage Framework for Ambiguous Classification in Software Engineering. | Jiaying Li, Yan Lei, Shanshan Li, Haifang Zhou, Yue Yu, Zhouyang Jia, Yingwei Ma, Teng Wang |
| 2023 | KDD | R-Mixup: Riemannian Mixup for Biological Networks. | Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang |
| 2023 | KDD | Local Boosting for Weakly-Supervised Learning. | Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang |
| 2023 | KDD | DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. | Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang |
| 2023 | WWW | Ginver: Generative Model Inversion Attacks Against Collaborative Inference. | Yupeng Yin, Xianglong Zhang, Huanle Zhang, Feng Li, Yue Yu, Xiuzhen Cheng, Pengfei Hu |
| 2023 | SIGIR | Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training. | Ran Xu, Yue Yu, Joyce C. Ho, Carl Yang |
| 2023 | VR | Generating Co-Speech Gestures for Virtual Agents from Multimodal Information Based on Transformer. | Yue Yu, Jiande Shi |
| 2023 | UAI | Practical privacy-preserving Gaussian process regression via secret sharing. | Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu |
| 2022 | ACL | Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. | Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang |
| 2022 | AMIA | Modeling a Cancer Symptom Control Domain Using HL7 FHIR: Applicability of the Minimal Common Oncology Data Elements (mCODE). | Nan Huo, Yue Yu, Nansu Zong, Andrea Cheville, Claude Nanjo, Eric Prud'hommeaux, Deirdre Pachman, Guohui Xiao, Emily R. Pfaff, Christopher G. Chute, Guoqian Jiang, Kathryn J. Ruddy |
| 2022 | AMIA | A Comparative Study on the Capability of Real-World Antineoplastic Drug Data Collection by CanMED, ATC and HemOnc. | Yue Yu, Kathryn J. Ruddy, Nan Huo, Nansu Zong, Deirdre Pachman, Christopher G. Chute, Emily R. Pfaff, Andrea Cheville, Guoqian Jiang |
| 2022 | CHI | Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github's Sponsor Mechanism. | Xunhui Zhang, Tao Wang, Yue Yu, Qiubing Zeng, Zhixing Li, Huaimin Wang |
| 2022 | CVPR | A Multi-granularity Retrieval System for Natural Language-based Vehicle Retrieval. | Jiacheng Zhang, Xiangru Lin, Minyue Jiang, Yue Yu, Chenting Gong, Wei Zhang, Xiao Tan, Yingying Li, Errui Ding, Guanbin Li |
| 2022 | ECCV | Diverse Learner: Exploring Diverse Supervision for Semi-supervised Object Detection. | Linfeng Li, Minyue Jiang, Yue Yu, Wei Zhang, Xiangru Lin, Yingying Li, Xiao Tan, Jingdong Wang, Errui Ding |
| 2022 | ECMS | Synergy Between Shuttles And Stacker Cranes In Dynamic Hybrid Pallet Warehouses: Control Strategies And Performance Evaluation. | Giulia Siciliano, Yue Yu, Johannes Fottner |
| 2022 | EMNLP | Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives. | Si Sun, Chenyan Xiong, Yue Yu, Arnold Overwijk, Zhiyuan Liu, Jie Bao |
| 2022 | EMNLP | COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning. | Yue Yu, Chenyan Xiong, Si Sun, Chao Zhang, Arnold Overwijk |
| 2022 | EMNLP | ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. | Yuchen Zhuang, Yinghao Li, Junyang Zhang, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang |
| 2022 | ICML | IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data. | Tian Gao, Debarun Bhattacharjya, Elliot Nelson, Miao Liu, Yue Yu |
| 2022 | ICSE | Multi-Intention-Aware Configuration Selection for Performance Tuning. | Haochen He, Zhouyang Jia, Shanshan Li, Yue Yu, Chenglong Zhou, Qing Liao, Ji Wang, Xiangke Liao |
| 2022 | ICSE | Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding. | Deze Wang, Zhouyang Jia, Shanshan Li, Yue Yu, Yun Xiong, Wei Dong, Xiangke Liao |
| 2022 | ICSE | A Universal Data Augmentation Approach for Fault Localization. | Huan Xie, Yan Lei, Meng Yan, Yue Yu, Xin Xia, Xiaoguang Mao |
| 2022 | ICSE | NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification. | Haibin Zheng, Zhiqing Chen, Tianyu Du, Xuhong Zhang, Yao Cheng, Shouling Ji, Jingyi Wang, Yue Yu, Jinyin Chen |
| 2022 | NAACL | AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. | Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang |
| 2022 | NAACL | Self-Training with Differentiable Teacher. | Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha |
| 2022 | WWW | Short, Colorful, and Irreverent! A Comparative Analysis of New Users on WallstreetBets During the Gamestop Short-squeeze. | Ehsan ul Haq, Tristan Braud, Lik-Hang Lee, Anish K. Vallapuram, Yue Yu, Gareth Tyson, Pan Hui |
| 2022 | SEKE | A Distributed Graph Inference Computation Framework Based on Graph Neural Network Model. | Zeting Pan, Yue Yu, Junsheng Chang |
| 2022 | VCIP | Autoencoder-based intra prediction with auxiliary feature. | Luhang Xu, Yue Yu, Haoping Yu, Dong Wang |
| 2022 | SEC | An Efficient Use-after-Free Mitigation Approach via Static Dangling Pointer Nullification. | Yue Yu, Xiaoqi Jia, Xun An, Shengzhi Zhang |
| 2021 | AMIA | Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping. | Prakash Adekkanattu, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu, Parag Goyal, Faraz S. Ahmad, Guoqian Jiang, Yuan Luo, Luke V. Rasmussen, Pascal S. Brandt, Zhenxing Xu, Jie Xu, Fei Wang, Natalie C. Benda, Thomas R. Campion Jr., Jyotishman Pathak |
| 2021 | AMIA | Disparity analysis of patient portal messaging use for COVID-19 in urban versus rural locality. | Ming Huang, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Nansu Zong, Yue Yu, Julie E. Prigge, Brian Costello, Nilay D. Shah, Henry Ting, Chyke Doubeni, Jungwei Fan, Hongfang Liu, Christi A. Patten |
| 2021 | CVPR | Robust Vehicle Re-Identification via Rigid Structure Prior. | Minyue Jiang, Xuanmeng Zhang, Yue Yu, Zechen Bai, Zhedong Zheng, Zhigang Wang, Jian Wang, Xiao Tan, Hao Sun, Errui Ding, Yi Yang |
| 2021 | HPCC | Convolutional Capsule Network Based in-Loop Filter for HEVC. | Mengqing Cao, Yue Yu, Jian Chen, Xiuzhi Yang, Zhifeng Chen |
| 2021 | ICANN | A Scoring Model Assisted by Frequency for Multi-Document Summarization. | Yue Yu, Mutong Wu, Weifeng Su, Yiu-ming Cheung |
| 2021 | ICIP | Edge-Aware Superpixel Segmentation with Unsupervised Convolutional Neural Networks. | Yue Yu, Yang Yang, Kezhao Liu |
| 2021 | ICML | DAGs with No Curl: An Efficient DAG Structure Learning Approach. | Yue Yu, Tian Gao, Naiyu Yin, Qiang Ji |
| 2021 | IPEC | Career Development of College Students under the Background of Ideological and Political Education. | Yue Yu |
| 2021 | IGARSS | A Method for Separating Linear Scatters in Noisy Condition from High Entropy Scatters. | Yue Yu, Chi-Chih Chen |
| 2021 | NAACL | Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach. | Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao, Chao Zhang |
| 2021 | PG | SM-NET: Reconstructing 3D Structured Mesh Models from Single Real-World Image. | Yue Yu, Ying Li, Jing-Yu Zhang, Yue Yang |
| 2021 | RE | Specifying Autonomous Driving Scenarios. | Yue Yu, Tiexin Wang, Tao Yue |
| 2020 | AAAI | SPAN: A Stochastic Projected Approximate Newton Method. | Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Lei Li, Yue Yu, Yitan Li |
| 2020 | APSEC | Sia-RAE: A Siamese Network based on Recursive AutoEncoder for Effective Clone Detection. | Chenhui Feng, Tao Wang, Yue Yu, Yang Zhang, Yanzhi Zhang, Huaimin Wang |
| 2020 | EMNLP | MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning. | Lu Zhang, Mo Yu, Tian Gao, Yue Yu |
| 2020 | EMNLP | SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup. | Rongzhi Zhang, Yue Yu, Chao Zhang |
| 2020 | ICSE | Software visualization and deep transfer learning for effective software defect prediction. | Jinyin Chen, Keke Hu, Yue Yu, Zhuangzhi Chen, Qi Xuan, Yi Liu, Vladimir Filkov |
| 2020 | ICTAI | Joint Embedding based Text-to-Image Synthesis. | Menglan Wang, Yue Yu, Benyuan Li |
| 2020 | IWCMC | The Design of FIR Filter Based on Improved DA and Implementation to High-Speed Ground Penetrating Radar System. | Jixi Li, Xu Bai, Shuai Han, Yue Yu |
| 2020 | KDD | BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision. | Chen Liang, Yue Yu, Haoming Jiang, Siawpeng Er, Ruijia Wang, Tuo Zhao, Chao Zhang |
| 2020 | KDD | STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. | Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang |
| 2020 | MSR | On the Shoulders of Giants: A New Dataset for Pull-based Development Research. | Xunhui Zhang, Ayushi Rastogi, Yue Yu |
| 2020 | WCNC | An EPEC Analysis among Mobile Edge Caching, Content Delivery Network and Data Center. | Yue Yu, Xiao Tang, Yiyong Zha, Yunfei Zhang, Tiecheng Song, Zhu Han |
| 2019 | AISTATS | Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks. | Yue Yu, Jiaxiang Wu, Junzhou Huang |
| 2019 | CIKM | Modeling Long-Range Context for Concurrent Dialogue Acts Recognition. | Yue Yu, Siyao Peng, Grace Hui Yang |
| 2019 | CogSci | Pedagogical Questions Empower Exploration. | Anishka Jean, Emily N. Daubert, Yue Yu, Patrick Shafto, Elizabeth Bonawitz |
| 2019 | ICDM | TMDA: Task-Specific Multi-source Domain Adaptation via Clustering Embedded Adversarial Training. | Haotian Wang, Wenjing Yang, Zhipeng Lin, Yue Yu |
| 2019 | ICML | DAG-GNN: DAG Structure Learning with Graph Neural Networks. | Yue Yu, Jie Chen, Tian Gao, Mo Yu |
| 2019 | IROS | Robust Loop Closure Detection based on Bag of SuperPoints and Graph Verification. | Haosong Yue, Jinyu Miao, Yue Yu, Weihai Chen, Changyun Wen |
| 2019 | WWW | Understanding Urban Dynamics via State-sharing Hidden Markov Model. | Tong Xia, Yue Yu, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin, Yong Li |
| 2019 | VCIP | Deep Learning Based In-Loop Filter for Video Coding. | Yue Yu, Xiuzhi Yang, Jian Chen, Bo Huang, Junyi Wu |
| 2018 | AISTATS | Optimal Cooperative Inference. | Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto |
| 2018 | AMIA | Developing A Standards-based Signal Detection and Validation Framework of Immune-related Adverse Events Using the OHDSI Common Data Model. | Yue Yu, Kathryn J. Ruddy, Shintaro Tsuji, Na Hong, Nilay D. Shah, Guoqian Jiang |
| 2018 | APSEC | Recommending Similar Bug Reports: A Novel Approach Using Document Embedding Model. | Dongyang Hu, Ming Chen, Tao Wang, Junsheng Chang, Gang Yin, Yue Yu, Yang Zhang |
| 2018 | CIKM | Use of Interpersonal Deception Theory in Counter Social Engineering. | Grace Hui Yang, Yue Yu |
| 2018 | COMPSAC | An Insight Into the Impact of Dockerfile Evolutionary Trajectories on Quality and Latency. | Yang Zhang, Gang Yin, Tao Wang, Yue Yu, Huaimin Wang |
| 2018 | DCC | Unequal Weight Planar Prediction and Weighted Angular Prediction. | Krit Panusopone, Seungwook Hong, Yue Yu, Limin Wang |
| 2018 | ICDM | A Scalable and Extensible Blockchain Architecture. | Yue Yu, Ran Liang, Jiqiu Xu |
| 2018 | ICONIP | Cross-Project Issue Classification Based on Ensemble Modeling in a Social Coding World. | Yarong Zeng, Yue Yu, Qiang Fan, Xunhui Zhang, Tao Wang, Gang Yin, Huaimin Wang |
| 2018 | ICSR | A Hybrid Approach for Tag Hierarchy Construction. | Shangwen Wang, Tao Wang, Xiaoguang Mao, Gang Yin, Yue Yu |
| 2018 | MSR | A dataset of duplicate pull-requests in github. | Yue Yu, Zhixing Li, Gang Yin, Tao Wang, Huaimin Wang |
| 2018 | TrustCom | A Universal Secret Sharing Scheme with General Access Structure Based on CRT. | Keju Meng, Fuyou Miao, Yue Yu, Changbin Lu |
| 2018 | SEKE | Adaptive software search toward users' customized requirements in GitHub. | Jinze Liu, Zhixing Li, Tao Wang, Yue Yu, Gang Yin |
| 2017 | CogSci | Inconvenient samples: Modeling the effects of non-consent by coupling observational and experimental results. | Yue Yu, Elizabeth Bonawitz, Patrick Shafto |
| 2017 | ESEM | Where Is the Road for Issue Reports Classification Based on Text Mining? | Qiang Fan, Yue Yu, Gang Yin, Tao Wang, Huaimin Wang |
| 2017 | IGARSS | A method for obtaing fully polarimetric scattering data from single-polarization ground penetrating radars (GPR). | Yue Yu, Chi-Chih Chen |
| 2017 | IJCAI | Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization. | Yue Yu, Longbo Huang |
| 2017 | ICSR | DevRec: A Developer Recommendation System for Open Source Repositories. | Xunhui Zhang, Tao Wang, Gang Yin, Cheng Yang, Yue Yu, Huaimin Wang |
| 2017 | VTC | Robust Cooperative Spectrum Sensing against Probabilistic SSDF Attack in Cognitive Radio Networks. | Jun Wu, Tiecheng Song, Cong Wang, Yue Yu, Miao Liu, Jing Hu |
| 2017 | SEKE | Automatic Classification of Review Comments in Pull-based Development Model. | Zhixing Li, Yue Yu, Gang Yin, Tao Wang, Qiang Fan, Huaimin Wang |
| 2016 | CEC | Minimize the average mean first passage time of random walk in complex networks by genetic algorithm. | Yue Yu, Kwok Yip Szeto |
| 2016 | CogSci | Questions in informal teaching: A study of mother-child conversations. | Yue Yu, Elizabeth Bonawitz, Patrick Shafto |
| 2016 | ICAART | The Interpretation of Elliptical Predicate Constructions in Mandarin: Semantic Underspecification and Pragmatic Enrichment. | Yue Yu, Yicheng Wu |
| 2016 | ICPADS | Using Supercomputer to Speed up Neural Network Training. | Yue Yu, Jinrong Jiang, Xuebin Chi |
| 2016 | IGARSS | Application of entropy classification method to the detection of subsurface linnear targets in polarimetric GPR data. | Yue Yu, Chi-Chih Chen, Xuan Feng, Cai Liu |
| 2016 | IJCAI | Decision-Making Policies for Heterogeneous Autonomous Multi-Agent Systems with Safety Constraints. | Ruohan Zhang, Yue Yu, Mahmoud El Chamie, Behet Aikmese, Dana H. Ballard |
| 2015 | AMIA | A Deep Learning Framework for Improving Medical Information Retrieval. | Dingcheng Li, Saeed Mehrabi, Yue Yu, Hongfang Liu |
| 2015 | CogSci | Understanding young children's imitative behavior from an individual differences perspective. | Yue Yu, Tamar Kushnir |
| 2015 | MSR | Wait for It: Determinants of Pull Request Evaluation Latency on GitHub. | Yue Yu, Huaimin Wang, Vladimir Filkov, Premkumar T. Devanbu, Bogdan Vasilescu |
| 2015 | SCA | Fully momentum-conserving reduced deformable bodies with collision, contact, articulation, and skinning. | Rahul Sheth, Wenlong Lu, Yue Yu, Ronald Fedkiw |
| 2014 | APSEC | Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration. | Yue Yu, Huaimin Wang, Gang Yin, Charles X. Ling |
| 2014 | APSEC | A Exploratory Study of @-Mention in GitHub's Pull-Requests. | Yang Zhang, Gang Yin, Yue Yu, Huaimin Wang |
| 2013 | IM | PReSET: A toolset for the evaluation of network resilience strategies. | Alberto E. Schaeffer Filho, Andreas Mauthe, David Hutchison, Paul Smith, Yue Yu, Michael Fry |
| 2013 | IM | Simulation and evaluation of network resilience with PReSET. | Alberto E. Schaeffer Filho, Andreas Mauthe, David Hutchison, Paul Smith, Yue Yu, Michael Fry |
| 2013 | IGARSS | Application of freeman decomposition to full polarimetric GPR. | Xuan Feng, Yue Yu, Qi Lu, Cai Liu, Jianguo Zhao, Yan Zhang, Congmei Xie, Wenjing Liang, Delihai Enhe, Ning Hu, Hong-Li Li, Qianci Ren |
| 2013 | TrustCom | A Trusted Remote Attestation Model Based on Trusted Computing. | Yue Yu, Huaimin Wang, Bo Liu, Gang Yin |
| 2013 | SEKE | HESA: The Construction and Evaluation of Hierarchical Software Feature Repository. | Yue Yu, Huaimin Wang, Gang Yin, Xiang Li, Cheng Yang |
| 2013 | SCA | Chimera grids for water simulation. | R. Elliot English, Linhai Qiu, Yue Yu, Ronald Fedkiw |
| 2012 | ADMA | Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework. | Xiang Li, Huaimin Wang, Gang Yin, Tao Wang, Cheng Yang, Yue Yu, Dengqing Tang |
| 2012 | CogSci | Preschoolers Use Timing of Causal Actions as a Cue for Categorization. | Yue Yu, Tamar Kushnir |
| 2012 | IGARSS | Subsurface imaging by modified migration for irregular GPR data. | Xuan Feng, Qiao Wang, Qi Lu, Cai Liu, Wenjing Liang, Hong-Li Li, Yue Yu, Qianci Ren |
| 2012 | IGARSS | Developing calibration technology for full-polarimetric GPR. | Xuan Feng, Qiao Wang, Qi Lu, Cai Liu, Lilong Zou, Wenjing Liang, Hong-Li Li, Yue Yu, Qianci Ren |
| 2012 | LREC | A Mandarin-English Code-Switching Corpus. | Ying Li, Yue Yu, Pascale Fung |
| 2012 | NOMS | A framework for the design and evaluation of network resilience management. | Alberto E. Schaeffer Filho, Paul Smith, Andreas Mauthe, David Hutchison, Yue Yu, Michael Fry |
| 2012 | NSS | Resilience Strategies for Networked Malware Detection and Remediation. | Yue Yu, Michael Fry, Bernhard Plattner, Paul Smith, Alberto E. Schaeffer Filho |
| 2011 | CogSci | It's all about the game: Infants' action strategies during imitation are influenced by their prior expectations. | Yue Yu, Tamar Kushnir |
| 2010 | DATE | Performance-asymmetry-aware topology virtualization for defect-tolerant NoC-based many-core processors. | Lei Zhang, Yue Yu, Jianbo Dong, Yinhe Han, Shangping Ren, Xiaowei Li |
| 2010 | Qshine | A Distributed Challenge Detection System for Resilient Networks. | Yue Yu |
| 2010 | SAC | Profit and penalty aware (PP-aware) scheduling for tasks with variable task execution time. | Yue Yu, Shangping Ren, Nianen Chen, Xing Wang |
| 2009 | RTAS | A Metric for Judicious Relaxation of Timing Constraints in Soft Real-Time Systems. | Yue Yu, Shangping Ren, Xiaobo Sharon Hu |
| 2008 | ICASSP | A fast intra mode selection method for H.264 high profile. | Yue Yu, Limin Wang |
| 2007 | RTAS | Take Intelligent Risk and Optimize Decision Based on Time, Available Resources and Risk Tolerance Limits. | Yue Yu, Shangping Ren, Kevin A. Kwiat |
| 2006 | Coordination | Actors, Roles and Coordinators - A Coordination Model for Open Distributed and Embedded Systems. | Shangping Ren, Yue Yu, Nianen Chen, Kevin Marth, Pierre-Etienne Poirot, Limin Shen |
| 2006 | RTSS | Prediction of Timing Constraint Violation for Real-Time Embedded Systems with Known Transient Hardware Failure Distribution Model. | Yue Yu, Shangping Ren, Ophir Frieder |
| 2002 | ICPR | Multiresolution Block Sampling-Based Method for Texture Synthesis. | Yue Yu, Jiebo Luo, Chang Wen Chen |
| 2001 | ICIP | Synthesis of directional texture based on multiresolution block sampling and constrained block movement. | Yue Yu, Jiebo Luo, Chang Wen Chen |
| 2001 | VCIP | VBR transcoding architecture for video streaming. | Yue Yu, Chang Wen Chen |
| 2000 | ICIP | A High Performance VBR Coding Algorithm for Fixed Size Storage Applications. | Yue Yu, Jian Zhou, Yiliang Wang, Chang Wen Chen |
| 2000 | WCNC | SNR scalable transcoding for video over wireless channels. | Yue Yu, Chang Wen Chen |
| 1998 | ICIP | A Fast Effective Scene Change Detection and Adaptive Rate Control Algorithm. | Yue Yu, Jian Zhou, Yiliang Wang |