| 2026 | ACL | Understanding Secret Leakage Risks in Code LLMs: A Tokenization Perspective. | Meifang Chen, Zhe Yang, Huang Nianchen, Yizhan Huang, Yichen Li, Zihan Li, Michael R. Lyu |
| 2026 | ACL | From Laboratory to Real-World Applications: Benchmarking Agentic Code Reasoning at the Repository Level. | Jia Li, Yuxin Su, Michael R. Lyu |
| 2026 | ACL | Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification. | Yuxuan Wan, Tianqing Fang, Zaitang LI, Yintong Huo, Wenxuan Wang, Haitao Mi, Dong Yu, Michael R. Lyu |
| 2026 | ACL | Identifying the Achilles' Heel: An Iterative Method for Uncovering Factual Errors in Large Language Models. | Wenxuan Wang, Yuk-Kit Chan, Zixuan Ling, Juluan Shi, Youliang Yuan, Jen-tse Huang, Yifei Zhang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu |
| 2026 | DSN | LLMGuard: Multi-Agent Fault Diagnosis for Reliable Language-Model-as-a-Service. | Yuedong Zhong, Guangba Yu, Yujie Huang, QunChao Fu, Rui Ren, Cong Feng, Yongqiang Yang, Michael R. Lyu |
| 2025 | ACL | Learning to Reason from Feedback at Test-Time. | Yanyang Li, Michael R. Lyu, Liwei Wang |
| 2025 | ACL | Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models. | Jie Liu, Wenxuan Wang, Yihang Su, Jingyuan Huang, Yudi Zhang, Cheng-Yi Li, Wenting Chen, Xiaohan Xing, Kao-Jung Chang, Linlin Shen, Michael R. Lyu |
| 2025 | ACL | C²LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation. | Yanyang Li, Tin Long Wong, Cheung To Hung, Jianqiao Zhao, Duo Zheng, Ka Wai Liu, Michael R. Lyu, Liwei Wang |
| 2025 | CCS | Don't Panic! Finding Bugs Hidden Behind Rust Runtime Safety Checks. | Zeyang Zhuang, Zilun Wang, Wei Meng, Michael R. Lyu |
| 2025 | DSN | Cordial: Cross-row Failure Prediction Method Based on Bank-level Error Locality for HBMs. | Wenwei Gu, Jiazhen Gu, Renyi Zhong, Wenyu Zhang, Ming Li, Michael R. Lyu |
| 2025 | DSN | LLMPrism: Black-box Performance Diagnosis for Production LLM Training Platforms. | Zhihan Jiang, Rui Ren, Guangba Yu, Yulun Wu, Wenwei Gu, Yichen Li, Yujie Huang, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu |
| 2025 | EMNLP | Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases. | Jen-tse Huang, Yuhang Yan, Linqi Liu, Yixin Wan, Wenxuan Wang, Kai-Wei Chang, Michael R. Lyu |
| 2025 | EMNLP | UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging. | Cheryl Lee, Chunqiu Steven Xia, Longji Yang, Jen-tse Huang, Zhouruixin Zhu, Lingming Zhang, Michael R. Lyu |
| 2025 | EMNLP | SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from Design. | Wenxin Tang, Jingyu Xiao, Wenxuan Jiang, Xi Xiao, Yuhang Wang, Xuxin Tang, Qing Li, Yuehe Ma, Junliang Liu, Shisong Tang, Michael R. Lyu |
| 2025 | EMNLP | Learning to Ask: When LLM Agents Meet Unclear Instruction. | Wenxuan Wang, Juluan Shi, Zixuan Ling, Yuk-Kit Chan, Chaozheng Wang, Cheryl Lee, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu |
| 2025 | ESEM | Can User Feedback Help Issue Detection? An Empirical Study on a One-Billion-User Online Service System. | Shuyao Jiang, Jiazhen Gu, Wujie Zheng, Yangfan Zhou, Michael R. Lyu |
| 2025 | ICLR | Competing Large Language Models in Multi-Agent Gaming Environments. | Jen-tse Huang, Eric John Li, Man Ho Lam, Tian Liang, Wenxuan Wang, Youliang Yuan, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Michael R. Lyu |
| 2025 | ICML | On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents. | Jen-tse Huang, Jiaxu Zhou, Tailin Jin, Xuhui Zhou, Zixi Chen, Wenxuan Wang, Youliang Yuan, Michael R. Lyu, Maarten Sap |
| 2025 | ICSE | COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge. | Yichen Li, Yulun Wu, Jinyang Liu, Zhihan Jiang, Zhuangbin Chen, Guangba Yu, Michael R. Lyu |
| 2025 | ICSE | Search-Based LLMs for Code Optimization. | Shuzheng Gao, Cuiyun Gao, Wenchao Gu, Michael R. Lyu |
| 2025 | ICSE | ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems. | Wenwei Gu, Jiazhen Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Jinxi Kuang, Cong Feng, Yongqiang Yang, Michael R. Lyu |
| 2025 | ICSE | SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing. | Wenchao Gu, Ensheng Shi, Yanlin Wang, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Michael R. Lyu |
| 2025 | SANER | Distinguishability-Guided Test Program Generation for WebAssembly Runtime Performance Testing. | Shuyao Jiang, Ruiying Zeng, Yangfan Zhou, Michael R. Lyu |
| 2024 | AAAI | Curvature-Invariant Adversarial Attacks for 3D Point Clouds. | Jianping Zhang, Wenwei Gu, Yizhan Huang, Zhihan Jiang, Weibin Wu, Michael R. Lyu |
| 2024 | AAAI | Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection. | Jianping Zhang, Yizhan Huang, Zhuoer Xu, Weibin Wu, Michael R. Lyu |
| 2024 | ACL | Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models. | Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen-tse Huang, Zhaopeng Tu, Michael R. Lyu |
| 2024 | ACL | All Languages Matter: On the Multilingual Safety of LLMs. | Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu |
| 2024 | ACL | Making Long-Context Language Models Better Multi-Hop Reasoners. | Yanyang Li, Shuo Liang, Michael R. Lyu, Liwei Wang |
| 2024 | EMNLP | On the Reliability of Psychological Scales on Large Language Models. | Jen-tse Huang, Wenxiang Jiao, Man Ho Lam, Eric John Li, Wenxuan Wang, Michael R. Lyu |
| 2024 | EMNLP | Enhancing Temporal Modeling of Video LLMs via Time Gating. | Zi-Yuan Hu, Yiwu Zhong, Shijia Huang, Michael R. Lyu, Liwei Wang |
| 2024 | EMNLP | LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models. | Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu |
| 2024 | EMNLP | Beyond Embeddings: The Promise of Visual Table in Visual Reasoning. | Yiwu Zhong, Zi-Yuan Hu, Michael R. Lyu, Liwei Wang |
| 2024 | ICDE | SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions. | Cheryl Lee, Zhouruixin Zhu, Tianyi Yang, Yintong Huo, Yuxin Su, Pinjia He, Michael R. Lyu |
| 2024 | ICLR | On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs. | Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu |
| 2024 | ICSE | Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. | Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu |
| 2024 | ICSE | FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. | Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu |
| 2024 | ICSE | Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach. | Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu |
| 2024 | ICSE | Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. | Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu |
| 2024 | ICSE | Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem. | Yun Peng, Ruida Hu, Ruoke Wang, Cuiyun Gao, Shuqing Li, Michael R. Lyu |
| 2024 | ICSE | An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles. | Dinghua Wang, Shuqing Li, Guanping Xiao, Yepang Liu, Yulei Sui, Pinjia He, Michael R. Lyu |
| 2024 | ISSRE | Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. | Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu |
| 2024 | ISSRE | KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems. | Wenwei Gu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, Michael R. Lyu |
| 2024 | ISSTA | A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We? | Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu |
| 2024 | ISSTA | SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection. | Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, Michael R. Lyu |
| 2024 | ISSTA | MicroRes: Versatile Resilience Profiling in Microservices via Degradation Dissemination Indexing. | Tianyi Yang, Cheryl Lee, Jiacheng Shen, Yuxin Su, Cong Feng, Yongqiang Yang, Michael R. Lyu |
| 2024 | KDD | Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask. | Jingyu Xiao, Zhiyao Xu, Qingsong Zou, Qing Li, Dan Zhao, Dong Fang, Ruoyu Li, Wenxin Tang, Kang Li, Xudong Zuo, Penghui Hu, Yong Jiang, Zixuan Weng, Michael R. Lyu |
| 2024 | SOSP | CHIME: A Cache-Efficient and High-Performance Hybrid Index on Disaggregated Memory. | Xuchuan Luo, Jiacheng Shen, Pengfei Zuo, Xin Wang, Michael R. Lyu, Yangfan Zhou |
| 2023 | AAAI | CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning. | Zihan Li, Weibin Wu, Yuxin Su, Zibin Zheng, Michael R. Lyu |
| 2023 | CCS | Fine-Grained Data-Centric Content Protection Policy for Web Applications. | Zilun Wang, Wei Meng, Michael R. Lyu |
| 2023 | CVPR | Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization. | Jianping Zhang, Yizhan Huang, Weibin Wu, Michael R. Lyu |
| 2023 | CVPR | Improving the Transferability of Adversarial Samples by Path-Augmented Method. | Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu |
| 2023 | EMNLP | CLEVA: Chinese Language Models EVAluation Platform. | Yanyang Li, Jianqiao Zhao, Duo Zheng, Zi-Yuan Hu, Zhi Chen, Xiaohui Su, Yongfeng Huang, Shijia Huang, Dahua Lin, Michael R. Lyu, Liwei Wang |
| 2023 | FAST | FUSEE: A Fully Memory-Disaggregated Key-Value Store. | Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Tianyi Yang, Yuxin Su, Yangfan Zhou, Michael R. Lyu |
| 2023 | ICCV | VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control. | Zi-Yuan Hu, Yanyang Li, Michael R. Lyu, Liwei Wang |
| 2023 | ICDM | A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. | Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu |
| 2023 | IJCAI | Towards Semantics- and Domain-Aware Adversarial Attacks. | Jianping Zhang, Yung-Chieh Huang, Weibin Wu, Michael R. Lyu |
| 2023 | ICSE | SemParser: A Semantic Parser for Log Analytics. | Yintong Huo, Yuxin Su, Cheryl Lee, Michael R. Lyu |
| 2023 | ICSE | Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data. | Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu |
| 2023 | ICSE | Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention. | Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Yongqiang Yang, Michael R. Lyu |
| 2023 | ICSE | Incident-aware Duplicate Ticket Aggregation for Cloud Systems. | Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu |
| 2023 | ICSE | MTTM: Metamorphic Testing for Textual Content Moderation Software. | Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, Michael R. Lyu |
| 2023 | ICSE | Practical and Efficient Model Extraction of Sentiment Analysis APIs. | Weibin Wu, Jianping Zhang, Victor Junqiu Wei, Xixian Chen, Zibin Zheng, Irwin King, Michael R. Lyu |
| 2023 | ISSRE | EvLog: Identifying Anomalous Logs over Software Evolution. | Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu |
| 2023 | ISSRE | Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. | Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu |
| 2023 | ISSRE | Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. | Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu |
| 2023 | ISSTA | Validating Multimedia Content Moderation Software via Semantic Fusion. | Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu |
| 2023 | OSDI | SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory. | Xuchuan Luo, Pengfei Zuo, Jiacheng Shen, Jiazhen Gu, Xin Wang, Michael R. Lyu, Yangfan Zhou |
| 2023 | SOSP | Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System. | Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Yuxin Su, Jiazhen Gu, Hao Feng, Yangfan Zhou, Michael R. Lyu |
| 2022 | AAAI | Text Revision By On-the-Fly Representation Optimization. | Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu |
| 2022 | ACL | Accelerating Code Search with Deep Hashing and Code Classification. | Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu |
| 2022 | ACL | Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. | Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu |
| 2022 | CVPR | Improving Adversarial Transferability via Neuron Attribution-based Attacks. | Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang, Yuxin Su, Michael R. Lyu |
| 2022 | DSN | Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems. | Tianyi Yang, Jiacheng Shen, Yuxin Su, Xiaoxue Ren, Yongqiang Yang, Michael R. Lyu |
| 2022 | EMNLP | Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation. | Yanyang Li, Jianqiao Zhao, Michael R. Lyu, Liwei Wang |
| 2022 | EMNLP | FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows. | Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu, Michael R. Lyu, Liwei Wang |
| 2022 | ICSE | Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. | Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Michael R. Lyu |
| 2022 | ICSE | ARCLIN: Automated API Mention Resolution for Unformatted Texts. | Yintong Huo, Yuxin Su, Hongming Zhang, Michael R. Lyu |
| 2022 | ICSE | Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python. | Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, Michael R. Lyu |
| 2022 | ISSRE | LogVm: Variable Semantics Miner for Log Messages. | Yintong Huo, Yuxin Su, Michael R. Lyu |
| 2022 | ISSRE | Managing Service Dependency for Cloud Reliability: The Industrial Practice. | Tianyi Yang, Baitong Li, Jiacheng Shen, Yuxin Su, Yongqiang Yang, Michael R. Lyu |
| 2022 | ISSTA | AEON: a method for automatic evaluation of NLP test cases. | Jen-tse Huang, Jianping Zhang, Wenxuan Wang, Pinjia He, Yuxin Su, Michael R. Lyu |
| 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 |
| 2021 | ACL | BinaryBERT: Pushing the Limit of BERT Quantization. | Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King |
| 2021 | ACL | Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. | Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King |
| 2021 | CVPR | Improving the Transferability of Adversarial Samples With Adversarial Transformations. | Weibin Wu, Yuxin Su, Michael R. Lyu, Irwin King |
| 2021 | ICDCS | Defuse: A Dependency-Guided Function Scheduler to Mitigate Cold Starts on FaaS Platforms. | Jiacheng Shen, Tianyi Yang, Yuxin Su, Yangfan Zhou, Michael R. Lyu |
| 2021 | ICONIP | DAP-BERT: Differentiable Architecture Pruning of BERT. | Chung-Yiu Yau, Haoli Bai, Irwin King, Michael R. Lyu |
| 2021 | IJCNN | Discrete Auto-regressive Variational Attention Models for Text Modeling. | Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King |
| 2021 | NAACL | Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. | Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang |
| 2021 | WWW | TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release. | Tianyi Yang, Cuiyun Gao, Jingya Zang, David Lo, Michael R. Lyu |
| 2020 | AAAI | Few Shot Network Compression via Cross Distillation. | Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu |
| 2020 | AAAI | Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. | Wenxiang Jiao, Michael R. Lyu, Irwin King |
| 2020 | AAAI | Neuron Interaction Based Representation Composition for Neural Machine Translation. | Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu |
| 2020 | ACCV | Learning 3D Face Reconstruction with a Pose Guidance Network. | Pengpeng Liu, Xintong Han, Michael R. Lyu, Irwin King, Jia Xu |
| 2020 | ACL | Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. | Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi |
| 2020 | ACL | Photon: A Robust Cross-Domain Text-to-SQL System. | Jichuan Zeng, Xi Victoria Lin, Steven C. H. Hoi, Richard Socher, Caiming Xiong, Michael R. Lyu, Irwin King |
| 2020 | CVPR | Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching. | Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu |
| 2020 | CVPR | Boosting the Transferability of Adversarial Samples via Attention. | Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai |
| 2020 | CVPR | Towards Global Explanations of Convolutional Neural Networks With Concept Attribution. | Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai |
| 2020 | EMNLP | Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning. | Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King |
| 2020 | EMNLP | Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. | Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu |
| 2020 | EMNLP | Exploiting Unsupervised Data for Emotion Recognition in Conversations. | Wenxiang Jiao, Michael R. Lyu, Irwin King |
| 2020 | EMNLP | Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. | Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu |
| 2020 | EMNLP | VD-BERT: A Unified Vision and Dialog Transformer with BERT. | Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi |
| 2020 | EMNLP | Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings. | Yue Wang, Jing Li, Michael R. Lyu, Irwin King |
| 2020 | ICSOC | Software Reliability Engineering for Resilient Cloud Operations. | Michael R. Lyu, Yuxin Su |
| 2020 | WWW | What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. | Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King |
| 2019 | AAAI | Title-Guided Encoding for Keyphrase Generation. | Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu |
| 2019 | AAAI | Generating Distractors for Reading Comprehension Questions from Real Examinations. | Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu |
| 2019 | AAAI | DDFlow: Learning Optical Flow with Unlabeled Data Distillation. | Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu |
| 2019 | ACL | Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling. | Yifan Gao, Piji Li, Irwin King, Michael R. Lyu |
| 2019 | ACL | Topic-Aware Neural Keyphrase Generation for Social Media Language. | Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi |
| 2019 | CVPR | SelFlow: Self-Supervised Learning of Optical Flow. | Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu |
| 2019 | DSN | Deep Validation: Toward Detecting Real-World Corner Cases for Deep Neural Networks. | Weibin Wu, Hui Xu, Sanqiang Zhong, Michael R. Lyu, Irwin King |
| 2019 | DSN | NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming. | Hui Xu, Zhuangbin Chen, Weibin Wu, Zhi Jin, Sy-Yen Kuo, Michael R. Lyu |
| 2019 | EMNLP | Towards Understanding Neural Machine Translation with Word Importance. | Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi |
| 2019 | EMNLP | Improving Question Generation With to the Point Context. | Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu |
| 2019 | IJCAI | Difficulty Controllable Generation of Reading Comprehension Questions. | Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King |
| 2019 | IJCAI | Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators. | Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu |
| 2019 | ICSE | Emerging app issue identification from user feedback: experience on WeChat. | Cuiyun Gao, Wujie Zheng, Yuetang Deng, David Lo, Jichuan Zeng, Michael R. Lyu, Irwin King |
| 2019 | ICSE | Tools and benchmarks for automated log parsing. | Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu |
| 2019 | ISSRE | An Empirical Study of Common Challenges in Developing Deep Learning Applications. | Tianyi Zhang, Cuiyun Gao, Lei Ma, Michael R. Lyu, Miryung Kim |
| 2019 | ISSRE | Textout: Detecting Text-Layout Bugs in Mobile Apps via Visualization-Oriented Learning. | Yaohui Wang, Hui Xu, Yangfan Zhou, Michael R. Lyu, Xin Wang |
| 2019 | NAACL | HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition. | Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2019 | NAACL | Information Aggregation for Multi-Head Attention with Routing-by-Agreement. | Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu |
| 2019 | NAACL | Microblog Hashtag Generation via Encoding Conversation Contexts. | Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi |
| 2018 | CIKM | Neural Relational Topic Models for Scientific Article Analysis. | Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu |
| 2018 | CIKM | Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization. | Yuxin Su, Michael R. Lyu, Irwin King |
| 2018 | DSN | Manufacturing Resilient Bi-Opaque Predicates Against Symbolic Execution. | Hui Xu, Yangfan Zhou, Yu Kang, Fengzhi Tu, Michael R. Lyu |
| 2018 | EMNLP | Multi-Head Attention with Disagreement Regularization. | Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, Tong Zhang |
| 2018 | EMNLP | Topic Memory Networks for Short Text Classification. | Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, Irwin King |
| 2018 | IJCAI | Code Completion with Neural Attention and Pointer Networks. | Jian Li, Yue Wang, Michael R. Lyu, Irwin King |
| 2018 | IJCAI | A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization. | Xiaotian Yu, Irwin King, Michael R. Lyu, Tianbao Yang |
| 2018 | ICSE | Online app review analysis for identifying emerging issues. | Cuiyun Gao, Jichuan Zeng, Michael R. Lyu, Irwin King |
| 2018 | UAI | Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs. | Xiaotian Yu, Han Shao, Michael R. Lyu, Irwin King |
| 2017 | AAAI | CBRAP: Contextual Bandits with RAndom Projection. | Xiaotian Yu, Michael R. Lyu, Irwin King |
| 2017 | ADMA | From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach. | Xingyu Niu, Hongyi Zhang, Michael R. Lyu, Irwin King |
| 2017 | DSN | Concolic Execution on Small-Size Binaries: Challenges and Empirical Study. | Hui Xu, Yangfan Zhou, Yu Kang, Michael R. Lyu |
| 2017 | ICDM | Risk Control of Best Arm Identification in Multi-armed Bandits via Successive Rejects. | Xiaotian Yu, Irwin King, Michael R. Lyu |
| 2017 | ICML | Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data. | Xixian Chen, Michael R. Lyu, Irwin King |
| 2017 | ICONIP | Geo-Pairwise Ranking Matrix Factorization Model for Point-of-Interest Recommendation. | Shenglin Zhao, Irwin King, Michael R. Lyu |
| 2017 | IJCNN | Simple and efficient parallelization for probabilistic temporal tensor factorization. | Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu |
| 2017 | ICSE | IntelliAd: assisting mobile app developers in measuring ad costs automatically. | Cuiyun Gao, Yichuan Man, Hui Xu, Jieming Zhu, Yangfan Zhou, Michael R. Lyu |
| 2017 | ICWS | Drain: An Online Log Parsing Approach with Fixed Depth Tree. | Pinjia He, Jieming Zhu, Zibin Zheng, Michael R. Lyu |
| 2017 | ICWS | CARP: Context-Aware Reliability Prediction of Black-Box Web Services. | Jieming Zhu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu |
| 2017 | QRS | Software Defect Prediction via Convolutional Neural Network. | Jian Li, Pinjia He, Jieming Zhu, Michael R. Lyu |
| 2017 | WWW | Geo-Teaser: Geo-Temporal Sequential Embedding Rank for Point-of-interest Recommendation. | Shenglin Zhao, Tong Zhao, Irwin King, Michael R. Lyu |
| 2017 | SIGIR | Learning to Rank Using Localized Geometric Mean Metrics. | Yuxin Su, Irwin King, Michael R. Lyu |
| 2017 | SIGIR | Mining Business Opportunities from Location-based Social Networks. | Shenglin Zhao, Irwin King, Michael R. Lyu, Jia Zeng, Mingxuan Yuan |
| 2017 | UAI | FROSH: FasteR Online Sketching Hashing. | Xixian Chen, 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 | CCS | N-version Obfuscation. | Hui Xu, Yangfan Zhou, Michael R. Lyu |
| 2016 | DSN | An Evaluation Study on Log Parsing and Its Use in Log Mining. | Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu |
| 2016 | ICONIP | Aggregated Temporal Tensor Factorization Model for Point-of-interest Recommendation. | Shenglin Zhao, Michael R. Lyu, 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 | Distributed Information-Theoretic Metric Learning in Apache Spark. | Yuxin Su, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2016 | IJCNN | Online non-negative dictionary learning via moment information for sparse Poisson coding. | Xiaotian Yu, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2016 | ICWS | Asymmetric Correlation Regularized Matrix Factorization for Web Service Recommendation. | Qi Xie, Shenglin Zhao, Zibin Zheng, Jieming Zhu, Michael R. Lyu |
| 2016 | ISSRE | Experience Report: System Log Analysis for Anomaly Detection. | Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu |
| 2016 | ISSRE | Experience Report: Detecting Poor-Responsive UI in Android Applications. | Yu Kang, Yangfan Zhou, Min Gao, Yixia Sun, Michael R. Lyu |
| 2016 | ISSRE | Experience Report: Understanding Cross-Platform App Issues from User Reviews. | Yichuan Man, Cuiyun Gao, Michael R. Lyu, Jiuchun Jiang |
| 2015 | AAAI | Kernelized Online Imbalanced Learning with Fixed Budgets. | Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So |
| 2015 | AAAI | Incorporating Implicit Link Preference Into Overlapping Community Detection. | Hongyi Zhang, Irwin King, Michael R. Lyu |
| 2015 | IJCAI | Training-Efficient Feature Map for Shift-Invariant Kernels. | Xixian Chen, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2015 | IJCAI | Exploiting k-Degree Locality to Improve Overlapping Community Detection. | Hongyi Zhang, Michael R. Lyu, Irwin King |
| 2015 | ICSE | Learning to Log: Helping Developers Make Informed Logging Decisions. | Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang |
| 2015 | ICWS | A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation. | Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu |
| 2015 | ISSRE | PAID: Prioritizing app issues for developers by tracking user reviews over versions. | Cuiyun Gao, Baoxiang Wang, Pinjia He, Jieming Zhu, Yangfan Zhou, Michael R. Lyu |
| 2015 | ISSRE | SpyAware: Investigating the privacy leakage signatures in app execution traces. | Hui Xu, Yangfan Zhou, Cuiyun Gao, Yu Kang, Michael R. Lyu |
| 2015 | UAI | Fast Relative-Error Approximation Algorithm for Ridge Regression. | Shouyuan Chen, Yang Liu, Michael R. Lyu, Irwin King, Shengyu Zhang |
| 2015 | WSDM | WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2014 | CloudCom | Trace Bench: An Open Data Set for Trace-Oriented Monitoring. | Jingwen Zhou, Zhenbang Chen, Ji Wang, Zibin Zheng, Michael R. Lyu |
| 2014 | ICDCS | Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation. | Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu |
| 2014 | ICONIP | Non-monotonic Feature Selection for Regression. | Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu |
| 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 |
| 2014 | ICWS | Location-Based Hierarchical Matrix Factorization for Web Service Recommendation. | Pinjia He, Jieming Zhu, Zibin Zheng, Jianlong Xu, Michael R. Lyu |
| 2014 | ICWS | Delay-Aware Cost Optimization for Dynamic Resource Provisioning in Hybrid Clouds. | Song Li, Yangfan Zhou, Lei Jiao, Xinya Yan, Xin Wang, Michael R. Lyu |
| 2014 | RecSys | Gradient boosting factorization machines. | Chen Cheng, Fen Xia, Tong Zhang, Irwin King, Michael R. Lyu |
| 2014 | RecSys | Ratings meet reviews, a combined approach to recommend. | Guang Ling, Michael R. Lyu, Irwin King |
| 2014 | SOUPS | Towards Continuous and Passive Authentication via Touch Biometrics: An Experimental Study on Smartphones. | Hui Xu, Yangfan Zhou, Michael R. Lyu |
| 2013 | BigData | Service-Generated Big Data and Big Data-as-a-Service: An Overview. | Zibin Zheng, Jieming Zhu, Michael R. Lyu |
| 2013 | EMNLP | A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers. | Baichuan Li, Jing Liu, Chin-Yew Lin, Irwin King, Michael R. Lyu |
| 2013 | ICONIP | Capturing Geographical Influence in POI Recommendations. | Shenglin Zhao, Irwin King, Michael R. Lyu |
| 2013 | IJCAI | Where You Like to Go Next: Successive Point-of-Interest Recommendation. | Chen Cheng, Haiqin Yang, Michael R. Lyu, Irwin King |
| 2013 | IJCAI | A Unified Framework for Reputation Estimation in Online Rating Systems. | Guang Ling, Irwin King, Michael R. Lyu |
| 2013 | PLDI | Fast algorithms for Dyck-CFL-reachability with applications to alias analysis. | Qirun Zhang, Michael R. Lyu, Hao Yuan, Zhendong Su |
| 2012 | AAAI | Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks. | Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2012 | AAAI | A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering. | Tom Chao Zhou, Xiance Si, Edward Y. Chang, Irwin King, Michael R. Lyu |
| 2012 | BIBE | Exploration of instantaneous amplitude and frequency features for epileptic seizure prediction. | Ning Wang, Michael R. Lyu |
| 2012 | CIKM | Information propagation in social rating networks. | Priyanka Garg, Irwin King, Michael R. Lyu |
| 2012 | CIKM | Do ads compete or collaborate?: designing click models with full relationship incorporated. | Xin Xin, Irwin King, Ritesh Agrawal, Michael R. Lyu, Heyan Huang |
| 2012 | COMPSAC | P-Tracer: Path-Based Performance Profiling in Cloud Computing Systems. | Haibo Mi, Huaimin Wang, Hua Cai, Yangfan Zhou, Michael R. Lyu, Zhenbang Chen |
| 2012 | ICONIP | Are You a Social Conformer? | Priyanka Garg, Irwin King, Michael R. Lyu |
| 2012 | IJCNN | Communities of Yahoo! Answers and Baidu Zhidao: Complementing or competing? | Baichuan Li, Michael R. Lyu, Irwin King |
| 2012 | IJCNN | Online learning for collaborative filtering. | Guang Ling, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2012 | ICSOC | WSTRank: Ranking Tags to Facilitate Web Service Mining. | Liang Chen, Zibin Zheng, Yipeng Feng, Jian Wu, Michael R. Lyu |
| 2012 | ICWS | WSP: A Network Coordinate Based Web Service Positioning Framework for Response Time Prediction. | Jieming Zhu, Yu Kang, Zibin Zheng, Michael R. Lyu |
| 2012 | ISORC | Real-Time Performance Prediction for Cloud Components. | Yilei Zhang, Zibin Zheng, Michael R. Lyu |
| 2012 | ISORC | A Clustering-Based QoS Prediction Approach for Web Service Recommendation. | Jieming Zhu, Yu Kang, Zibin Zheng, Michael R. Lyu |
| 2012 | WWW | Analyzing and predicting question quality in community question answering services. | Baichuan Li, Tan Jin, Michael R. Lyu, Irwin King, Barley Mak |
| 2012 | WWW | A classification-based approach to question routing in community question answering. | Tom Chao Zhou, Michael R. Lyu, Irwin King |
| 2012 | UAI | Response Aware Model-Based Collaborative Filtering. | Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King |
| 2011 | AAAI | Learning to Suggest Questions in Online Forums. | Tom Chao Zhou, Chin-Yew Lin, Irwin King, Michael R. Lyu, Young-In Song, Yunbo Cao |
| 2011 | CIKM | Question routing in community question answering: putting category in its place. | Baichuan Li, Irwin King, Michael R. Lyu |
| 2011 | CIKM | Question identification on twitter. | Baichuan Li, Xiance Si, Michael R. Lyu, Irwin King, Edward Y. Chang |
| 2011 | CIKM | Can irrelevant data help semi-supervised learning, why and how? | Haiqin Yang, Shenghuo Zhu, Irwin King, Michael R. Lyu |
| 2011 | CIKM | Towards a top-down and bottom-up bidirectional approach to joint information extraction. | Xiaofeng Yu, Irwin King, Michael R. Lyu |
| 2011 | FASE | Flow-Augmented Call Graph: A New Foundation for Taming API Complexity. | Qirun Zhang, Wujie Zheng, Michael R. Lyu |
| 2011 | ICWS | NRCF: A Novel Collaborative Filtering Method for Service Recommendation. | Huifeng Sun, Zibin Zheng, Junliang Chen, Michael R. Lyu |
| 2011 | ISSRE | WSPred: A Time-Aware Personalized QoS Prediction Framework for Web Services. | Yilei Zhang, Zibin Zheng, Michael R. Lyu |
| 2011 | SIGIR | Probabilistic factor models for web site recommendation. | Hao Ma, Chao Liu, Irwin King, Michael R. Lyu |
| 2011 | TrustCom | RealProct: Reliable Protocol Conformance Testing with Real Nodes for Wireless Sensor Networks. | Junjie Xiong, Edith C. H. Ngai, Yangfan Zhou, Michael R. Lyu |
| 2011 | WSDM | Recommender systems with social regularization. | Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, Irwin King |
| 2011 | WSDM | CMAP: effective fusion of quality and relevance for multi-criteria recommendation. | Xin Xin, Michael R. Lyu, Irwin King |
| 2011 | SRDS | Exploring Latent Features for Memory-Based QoS Prediction in Cloud Computing. | Yilei Zhang, Zibin Zheng, Michael R. Lyu |
| 2010 | AAAI | Diversifying Query Suggestion Results. | Hao Ma, Michael R. Lyu, Irwin King |
| 2010 | AAAI | Smooth Optimization for Effective Multiple Kernel Learning. | Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King |
| 2010 | AAAI | UserRec: A User Recommendation Framework in Social Tagging Systems. | Tom Chao Zhou, Hao Ma, Michael R. Lyu, Irwin King |
| 2010 | CIKM | Online learning for multi-task feature selection. | Haiqin Yang, Irwin King, Michael R. Lyu |
| 2010 | ICDCS | Sentomist: Unveiling Transient Sensor Network Bugs via Symptom Mining. | Yangfan Zhou, Xinyu Chen, Michael R. Lyu, Jiangchuan Liu |
| 2010 | ICML | Simple and Efficient Multiple Kernel Learning by Group Lasso. | Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2010 | ICML | Online Learning for Group Lasso. | Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu |
| 2010 | IJCNN | Multi-task Learning for one-class classification. | Haiqin Yang, Irwin King, Michael R. Lyu |
| 2010 | ICSE | Collaborative reliability prediction of service-oriented systems. | Zibin Zheng, Michael R. Lyu |
| 2010 | ICSE | Component recommendation for cloud applications. | Zibin Zheng, Michael R. Lyu |
| 2010 | ICWS | WSExpress: A QoS-aware Search Engine for Web Services. | Yilei Zhang, Zibin Zheng, Michael R. Lyu |
| 2010 | ICWS | Distributed QoS Evaluation for Real-World Web Services. | Zibin Zheng, Yilei Zhang, Michael R. Lyu |
| 2010 | ISSRE | FTCloud: A Component Ranking Framework for Fault-Tolerant Cloud Applications. | Zibin Zheng, Tom Chao Zhou, Michael R. Lyu, Irwin King |
| 2010 | WWW | Introduction to social recommendation. | Irwin King, Michael R. Lyu, Hao Ma |
| 2010 | SRDS | CloudRank: A QoS-Driven Component Ranking Framework for Cloud Computing. | Zibin Zheng, Yilei Zhang, Michael R. Lyu |
| 2009 | CIKM | Enhancing expertise retrieval using community-aware strategies. | Hongbo Deng, Irwin King, Michael R. Lyu |
| 2009 | CIKM | MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching. | Zhenjiang Lin, Michael R. Lyu, Irwin King |
| 2009 | CIKM | Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering. | Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu |
| 2009 | CIKM | A social recommendation framework based on multi-scale continuous conditional random fields. | Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu |
| 2009 | CVPR | Nonrigid shape recovery by Gaussian process regression. | Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu |
| 2009 | DSN | A QoS-aware fault tolerant middleware for dependable service composition. | Zibin Zheng, Michael R. Lyu |
| 2009 | ICML | Non-monotonic feature selection. | Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King |
| 2009 | IJCAI | Discriminative Semi-Supervised Feature Selection via Manifold Regularization. | Zenglin Xu, Rong Jin, Michael R. Lyu, Irwin King |
| 2009 | IJCNN | Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. | Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell |
| 2009 | ICSE | Test selection for result inspection via mining predicate rules. | Wujie Zheng, Michael R. Lyu, Tao Xie |
| 2009 | ICWS | WSRec: A Collaborative Filtering Based Web Service Recommender System. | Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King |
| 2009 | KDD | A generalized Co-HITS algorithm and its application to bipartite graphs. | Hongbo Deng, Michael R. Lyu, Irwin King |
| 2009 | MASS | Surviving Holes and Barriers in Geographic Data Reporting for Wireless Sensor Networks. | Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu |
| 2009 | MASS | Energy-efficient On-demand Active Contour Service for Sensor Networks. | Yangfan Zhou, Junjie Xiong, Michael R. Lyu, Jiangchuan Liu, Kam-Wing Ng |
| 2009 | Networking | A Coalitional Game Model for Heat Diffusion Based Incentive Routing and Forwarding Scheme. | Xiaoqi Li, Wujie Zheng, Michael R. Lyu |
| 2009 | RecSys | Learning to recommend with trust and distrust relationships. | Hao Ma, Michael R. Lyu, Irwin King |
| 2009 | SIGIR | Entropy-biased models for query representation on the click graph. | Hongbo Deng, Irwin King, Michael R. Lyu |
| 2009 | SIGIR | Learning to recommend with social trust ensemble. | Hao Ma, Irwin King, Michael R. Lyu |
| 2009 | WSDM | Effective latent space graph-based re-ranking model with global consistency. | Hongbo Deng, Michael R. Lyu, Irwin King |
| 2008 | AINA | Dynamic Web Service Composition: A New Approach in Building Reliable Web Service. | Pat Pik-Wah Chan, Michael R. Lyu |
| 2008 | CIKM | Learning latent semantic relations from clickthrough data for query suggestion. | Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu |
| 2008 | CIKM | Mining social networks using heat diffusion processes for marketing candidates selection. | Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King |
| 2008 | CIKM | SoRec: social recommendation using probabilistic matrix factorization. | Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King |
| 2008 | CIKM | Semi-supervised text categorization by active search. | Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King |
| 2008 | CVPR | Semi-supervised SVM batch mode active learning for image retrieval. | Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu |
| 2008 | DSN | WS-DREAM: A distributed reliability assessment Mechanism for Web Services. | Zibin Zheng, Michael R. Lyu |
| 2008 | ECCV | An Effective Approach to 3D Deformable Surface Tracking. | Jianke Zhu, Steven C. H. Hoi, Zenglin Xu, Michael R. Lyu |
| 2008 | GLOBECOM | A Novel Coalitional Game Model for Security Issues in Wireless Networks. | Xiaoqi Li, Michael R. Lyu |
| 2008 | ICDM | Formal Models for Expert Finding on DBLP Bibliography Data. | Hongbo Deng, Irwin King, Michael R. Lyu |
| 2008 | ICDM | Direct Zero-Norm Optimization for Feature Selection. | Kaizhu Huang, Irwin King, Michael R. Lyu |
| 2008 | ICDM | Semi-supervised Learning from General Unlabeled Data. | Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu |
| 2008 | IJCNN | Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. | Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu |
| 2008 | ICWS | A Distributed Replication Strategy Evaluation and Selection Framework for Fault Tolerant Web Services. | Zibin Zheng, Michael R. Lyu |
| 2008 | ISSRE | Anything You Want to Ask about Software Reliability Engineering. | Michael G. Hinchey, Karama Kanoun, Mikael Lindvall, Michael R. Lyu, Tiziana Margaria, Veena B. Mendiratta, Paul Pettersson, Norman F. Schneidewind, W. Eric Wong |
| 2008 | ISSRE | A QoS-Aware Middleware for Fault Tolerant Web Services. | Zibin Zheng, Michael R. Lyu |
| 2008 | Qshine | On sensor network reconfiguration for downtime-free system migrations. | Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu |
| 2007 | CVPR | A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling. | Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu |
| 2007 | CVPR | Progressive Finite Newton Approach To Real-time Nonrigid Surface Detection. | Jianke Zhu, Michael R. Lyu |
| 2007 | GLOBECOM | LOFT: A Latency-Oriented Fault Tolerant Transport Protocol for Wireless Sensor-Actuator Networks. | Edith C. H. Ngai, Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu |
| 2007 | ICASSP | A Multimodal and Multilevel Ranking Framework for Content-Based Video Retrieval. | Steven C. H. Hoi, Michael R. Lyu |
| 2007 | ICML | Learning nonparametric kernel matrices from pairwise constraints. | Steven C. H. Hoi, Rong Jin, Michael R. Lyu |
| 2007 | ICONIP | Kernel Maximum a Posteriori Classification with Error Bound Analysis. | Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu |
| 2007 | IJCNN | Two-stage Multi-class AdaBoost for Facial Expression Recognition. | Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin King |
| 2007 | IJCNN | Maximum Margin based Semi-supervised Spectral Kernel Learning. | Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King |
| 2007 | ICSE | Software Reliability Engineering: A Roadmap. | Michael R. Lyu |
| 2007 | ICWS | ReliableWeb Services: Methodology, Experiment and Modeling. | Pat Pik-Wah Chan, Michael R. Lyu, Miroslaw Malek |
| 2007 | ISSRE | Software Reliability Modeling with Test Coverage: Experimentation and Measurement with A Fault-Tolerant Software Project. | Xia Cai, Michael R. Lyu |
| 2007 | MASS | An Adaptive Delay-Minimized Route Design for Wireless Sensor-Actuator Networks. | Edith C. H. Ngai, Jiangchuan Liu, Michael R. Lyu |
| 2007 | WCNC | POWER-SPEED: A Power-Controlled Real-Time Data Transport Protocol for Wireless Sensor-Actuator Networks. | Yangfan Zhou, Edith C. H. Ngai, Michael R. Lyu, Jiangchuan Liu |
| 2007 | WWW | Web page classification with heterogeneous data fusion. | Zenglin Xu, Irwin King, Michael R. Lyu |
| 2007 | SIGIR | Effective missing data prediction for collaborative filtering. | Hao Ma, Irwin King, Michael R. Lyu |
| 2007 | SIGIR | DiffusionRank: a possible penicillin for web spamming. | Haixuan Yang, Irwin King, Michael R. Lyu |
| 2006 | CVPR | Learning Distance Metrics with Contextual Constraints for Image Retrieval. | Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Ying Ma |
| 2006 | ECCV | Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality. | Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu |
| 2006 | ICML | Batch mode active learning and its application to medical image classification. | Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu |
| 2006 | ICPR | Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification. | Zhong-Hua Quan, De-Shuang Huang, Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok |
| 2006 | IJCNN | Local Support Vector Regression for Financial Time Series Prediction. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2006 | IJCNN | Predictive Random Graph Ranking on the Web. | Haixuan Yang, Irwin King, Michael R. Lyu |
| 2006 | ISNN | A New Learning Algorithm for Function Approximation Incorporating | Fei Han, Tat-Ming Lok, Michael R. Lyu |
| 2006 | ISNN | Nonlinear Blind Source Separation Using Hybrid Neural Networks. | Chun-Hou Zheng, Zhi-Kai Huang, Michael R. Lyu, Tat-Ming Lok |
| 2006 | IWCMC | A point-distribution index and its application to sensor-grouping in wireless sensor networks. | Yangfan Zhou, Haixuan Yang, Michael R. Lyu, Edith C. H. Ngai |
| 2006 | KDD | Learning the unified kernel machines for classification. | Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang |
| 2006 | MASS | Reliable Reporting of Delay-Sensitive Events in Wireless Sensor-Actuator Networks. | Edith C. H. Ngai, Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu |
| 2006 | PRDC | A Framework for Inheritance Testing from VDM++ Specifications. | Aamer Nadeem, Michael R. Lyu |
| 2006 | WWW | Large-scale text categorization by batch mode active learning. | Steven C. H. Hoi, Rong Jin, Michael R. Lyu |
| 2006 | WWW | PageSim: a novel link-based measure of web page aimilarity. | Zhenjiang Lin, Michael R. Lyu, Irwin King |
| 2006 | WWW | Time-dependent semantic similarity measure of queries using historical click-through data. | Qiankun Zhao, Steven C. H. Hoi, Tie-Yan Liu, Sourav S. Bhowmick, Michael R. Lyu, Wei-Ying Ma |
| 2005 | CVPR | A Semi-Supervised Active Learning Framework for Image Retrieval. | Steven C. H. Hoi, Michael R. Lyu |
| 2005 | ICDE | Integrating User Feedback Log into Relevance Feedback by Coupled SVM for Content-Based Image Retrieval. | Steven C. H. Hoi, Michael R. Lyu, Rong Jin |
| 2005 | IJCNN | A novel image retrieval system based on BP neural network. | Jun-Hua Han, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu |