Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMichael R. Lyu
Michael Rung-Tsong Lyu – 吕荣聪
Person information
- unicode name: 吕荣聪
- affiliation: Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- affiliation (1992 - 1995): University of Iowa, IA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j150]Weizhe Zhang, Wenchao Gu, Cuiyun Gao, Michael R. Lyu:
A transformer-based approach for improving app review response generation. Softw. Pract. Exp. 53(2): 438-454 (2023)- [i102]Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Tianyi Yang, Yuxin Su, Yangfan Zhou, Michael R. Lyu:
FUSEE: A Fully Memory-Disaggregated Key-Value Store (Extended Version). CoRR abs/2301.09839 (2023) - 2022
- [j149]Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu:
A Survey on Automated Log Analysis for Reliability Engineering. ACM Comput. Surv. 54(6): 130:1-130:37 (2022) - [j148]Cuiyun Gao, Jichuan Zeng, David Lo
, Xin Xia, Irwin King, Michael R. Lyu:
Understanding in-app advertising issues based on large scale app review analysis. Inf. Softw. Technol. 142: 106741 (2022) - [j147]Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5026-5041 (2022) - [j146]Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Michael R. Lyu:
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. ACM SIGOPS Oper. Syst. Rev. 56(1): 1-7 (2022) - [j145]Wenxiang Jiao, Xing Wang, Shilin He, Zhaopeng Tu, Irwin King, Michael R. Lyu:
Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 931-943 (2022) - [j144]Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou, Michael R. Lyu:
Memory-Safety Challenge Considered Solved? An In-Depth Study with All Rust CVEs. ACM Trans. Softw. Eng. Methodol. 31(1): 3:1-3:25 (2022) - [j143]Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo, Qi Xie, Michael R. Lyu:
Automating App Review Response Generation Based on Contextual Knowledge. ACM Trans. Softw. Eng. Methodol. 31(1): 11:1-11:36 (2022) - [j142]Zibin Zheng, Xiaoli Li, Mingdong Tang, Fenfang Xie, Michael R. Lyu:
Web Service QoS Prediction via Collaborative Filtering: A Survey. IEEE Trans. Serv. Comput. 15(4): 2455-2472 (2022) - [j141]Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. IEEE Trans. Software Eng. 48(8): 3025-3043 (2022) - [c391]Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu:
Text Revision By On-the-Fly Representation Optimization. AAAI 2022: 10956-10964 - [c390]Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu:
Accelerating Code Search with Deep Hashing and Code Classification. ACL (1) 2022: 2534-2544 - [c389]Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu:
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. ACL (1) 2022: 2591-2600 - [c388]Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang, Yuxin Su, Michael R. Lyu:
Improving Adversarial Transferability via Neuron Attribution-based Attacks. CVPR 2022: 14973-14982 - [c387]Tianyi Yang, Jiacheng Shen, Yuxin Su, Xiaoxue Ren, Yongqiang Yang, Michael R. Lyu:
Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems. DSN 2022: 393-401 - [c386]Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Michael R. Lyu:
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. ICSE 2022: 61-72 - [c385]Yintong Huo, Yuxin Su, Hongming Zhang, Michael R. Lyu:
ARCLIN: Automated API Mention Resolution for Unformatted Texts. ICSE 2022: 138-149 - [c384]Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, Michael R. Lyu:
Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python. ICSE 2022: 2019-2030 - [c383]Tianyi Yang, Baitong Li, Jiacheng Shen, Yuxin Su, Yongqiang Yang, Michael R. Lyu:
Managing Service Dependency for Cloud Reliability: The Industrial Practice. ISSRE Workshops 2022: 67-68 - [c382]Yintong Huo, Yuxin Su, Michael R. Lyu:
LogVm: Variable Semantics Miner for Log Messages. ISSRE Workshops 2022: 124-125 - [c381]Jen-tse Huang, Jianping Zhang, Wenxuan Wang, Pinjia He, Yuxin Su, Michael R. Lyu:
AEON: a method for automatic evaluation of NLP test cases. ISSTA 2022: 202-214 - [c380]Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu:
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. NAACL-HLT (Findings) 2022: 1233-1246 - [c379]Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu:
No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence. ESEC/SIGSOFT FSE 2022: 382-394 - [i101]Yintong Huo, Yuxin Su, Hongming Zhang, Michael R. Lyu:
ARCLIN: Automated API Mention Resolution for Unformatted Texts. CoRR abs/2201.01459 (2022) - [i100]Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. CoRR abs/2201.02944 (2022) - [i99]Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu, Michael R. Lyu, Liwei Wang:
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows. CoRR abs/2202.06633 (2022) - [i98]Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu:
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. CoRR abs/2203.08442 (2022) - [i97]Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu:
Accelerating Code Search with Deep Hashing and Code Classification. CoRR abs/2203.15287 (2022) - [i96]Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang, Yuxin Su, Michael R. Lyu:
Improving Adversarial Transferability via Neuron Attribution-Based Attacks. CoRR abs/2204.00008 (2022) - [i95]Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu:
Text Revision by On-the-Fly Representation Optimization. CoRR abs/2204.07359 (2022) - [i94]Tianyi Yang, Jiacheng Shen, Yuxin Su, Xiaoxue Ren, Yongqiang Yang, Michael R. Lyu:
Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems. CoRR abs/2204.09670 (2022) - [i93]Jen-tse Huang, Jianping Zhang, Wenxuan Wang, Pinjia He, Yuxin Su, Michael R. Lyu:
AEON: A Method for Automatic Evaluation of NLP Test Cases. CoRR abs/2205.06439 (2022) - [i92]Wenxuan Wang, Wenxiang Jiao, Shuo Wang, Zhaopeng Tu, Michael R. Lyu:
Understanding and Mitigating the Uncertainty in Zero-Shot Translation. CoRR abs/2205.10068 (2022) - [i91]Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu:
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. CoRR abs/2205.10471 (2022) - [i90]Baitong Li, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Yongqiang Yang, Michael R. Lyu:
Heterogeneous Anomaly Detection for Software Systems via Attentive Multi-modal Learning. CoRR abs/2207.02918 (2022) - [i89]Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Zenglin Xu, Michael R. Lyu:
A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities. CoRR abs/2207.04285 (2022) - [i88]Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu:
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence. CoRR abs/2207.11680 (2022) - [i87]Yujia Chen, Xiaoxue Ren, Cuiyun Gao, Yun Peng, Xin Xia, Michael R. Lyu:
API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning. CoRR abs/2208.01971 (2022) - [i86]Weizhe Zhang, Wenchao Gu, Cuiyun Gao, Michael R. Lyu:
A Transformer-Based Approach for Improving App Review Response Generation. CoRR abs/2209.08055 (2022) - [i85]Tianyi Yang, Baitong Li, Jiacheng Shen, Yuxin Su, Yongqiang Yang, Michael R. Lyu:
Managing Service Dependency for Cloud Reliability: The Industrial Practice. CoRR abs/2210.06249 (2022) - [i84]Yanyang Li, Jianqiao Zhao, Michael R. Lyu, Liwei Wang:
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation. CoRR abs/2211.01587 (2022) - [i83]Wuqi Zhang, Lili Wei, Shing-Chi Cheung, Yepang Liu, Shuqing Li, Lu Liu, Michael R. Lyu:
Front-Running Attack Benchmark Construction and Vulnerability Detection Technique Evaluation. CoRR abs/2212.12110 (2022) - [i82]Tianyi Yang, Cheryl Lee, Jiacheng Shen, Yuxin Su, Yongqiang Yang, Michael R. Lyu:
An Adaptive Resilience Testing Framework for Microservice Systems. CoRR abs/2212.12850 (2022) - 2021
- [j140]Jian Li, Xing Wang, Zhaopeng Tu, Michael R. Lyu:
On the diversity of multi-head attention. Neurocomputing 454: 14-24 (2021) - [j139]Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu:
Do users care about ad's performance costs? Exploring the effects of the performance costs of in-app ads on user experience. Inf. Softw. Technol. 132: 106471 (2021) - [j138]Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu:
CRaDLe: Deep code retrieval based on semantic Dependency Learning. Neural Networks 141: 385-394 (2021) - [j137]Hong-Ning Dai Senior, Zibin Zheng, Yan Zhang, Michael Rung-Tsong Lyu, Alberto Nannarelli:
Special Section on Scalable Computing for Blockchain Systems. IEEE Trans. Emerg. Top. Comput. 9(3): 1372 (2021) - [j136]Xixian Chen, Haiqin Yang, Shenglin Zhao, Irwin King, Michael R. Lyu:
Making Online Sketching Hashing Even Faster. IEEE Trans. Knowl. Data Eng. 33(3): 1089-1101 (2021) - [j135]Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael R. Lyu:
Why an Android App Is Classified as Malware: Toward Malware Classification Interpretation. ACM Trans. Softw. Eng. Methodol. 30(2): 21:1-21:29 (2021) - [c378]Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. ACL/IJCNLP (1) 2021: 2840-2850 - [c377]Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. ACL/IJCNLP (1) 2021: 4334-4348 - [c376]Weibin Wu, Yuxin Su, Michael R. Lyu, Irwin King:
Improving the Transferability of Adversarial Samples With Adversarial Transformations. CVPR 2021: 9024-9033 - [c375]Jiacheng Shen, Tianyi Yang, Yuxin Su, Yangfan Zhou, Michael R. Lyu:
Defuse: A Dependency-Guided Function Scheduler to Mitigate Cold Starts on FaaS Platforms. ICDCS 2021: 194-204 - [c374]Chung-Yiu Yau, Haoli Bai, Irwin King, Michael R. Lyu:
DAP-BERT: Differentiable Architecture Pruning of BERT. ICONIP (1) 2021: 367-378 - [c373]Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Auto-regressive Variational Attention Models for Text Modeling. IJCNN 2021: 1-8 - [c372]Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
Graph-based Incident Aggregation for Large-Scale Online Service Systems. ASE 2021: 430-442 - [c371]Tianyi Yang, Jiacheng Shen, Yuxin Su, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems. ASE 2021: 653-665 - [c370]Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang:
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. NAACL-HLT 2021: 3989-3996 - [c369]Tianyi Yang, Cuiyun Gao, Jingya Zang, David Lo, Michael R. Lyu:
TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release. WWW (Companion Volume) 2021: 708-712 - [i81]Yifan Gao, Jingjing Li, Michael R. Lyu, Irwin King:
Open-Retrieval Conversational Machine Reading. CoRR abs/2102.08633 (2021) - [i80]Tianyi Yang, Cuiyun Gao, Jingya Zang, David Lo, Michael R. Lyu:
TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release. CoRR abs/2103.15774 (2021) - [i79]Yun Peng, Zongjie Li, Cuiyun Gao, Bowei Gao, David Lo, Michael R. Lyu:
HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction. CoRR abs/2105.03595 (2021) - [i78]Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. CoRR abs/2106.00941 (2021) - [i77]Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation. CoRR abs/2106.04195 (2021) - [i76]Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Auto-regressive Variational Attention Models for Text Modeling. CoRR abs/2106.08571 (2021) - [i75]Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, Michael R. Lyu:
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection. CoRR abs/2107.05908 (2021) - [i74]Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
Graph-based Incident Aggregation for Large-Scale Online Service Systems. CoRR abs/2108.12179 (2021) - [i73]Tianyi Yang, Jiacheng Shen, Yuxin Su, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems. CoRR abs/2109.04893 (2021) - [i72]Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu:
Towards Efficient Post-training Quantization of Pre-trained Language Models. CoRR abs/2109.15082 (2021) - [i71]Yintong Huo, Yuxin Su, Baitong Li, Michael R. Lyu:
SemParser: A Semantic Parser for Log Analysis. CoRR abs/2112.12636 (2021) - [i70]Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? CoRR abs/2112.12653 (2021) - 2020
- [j134]Jie Zhang, Jiajing Wu, Chun Lung Philip Chen, Zibin Zheng, Michael R. Lyu:
CDS: A Cross-Version Software Defect Prediction Model With Data Selection. IEEE Access 8: 110059-110072 (2020) - [j133]Hui Xu, Yangfan Zhou, Jiang Ming, Michael R. Lyu:
Layered obfuscation: a taxonomy of software obfuscation techniques for layered security. Cybersecur. 3(1): 9 (2020) - [j132]Anita D. Carleton, Erin Harper, Tim Menzies, Tao Xie, Sigrid Eldh, Michael R. Lyu:
The AI Effect: Working at the Intersection of AI and SE. IEEE Softw. 37(4): 26-35 (2020) - [j131]Anita D. Carleton, Erin Harper, Michael R. Lyu, Sigrid Eldh, Tao Xie, Tim Menzies:
Expert Perspectives on AI. IEEE Softw. 37(4): 87-94 (2020) - [j130]Hui Xu, Zirui Zhao, Yangfan Zhou, Michael R. Lyu:
Benchmarking the Capability of Symbolic Execution Tools with Logic Bombs. IEEE Trans. Dependable Secur. Comput. 17(6): 1243-1256 (2020) - [j129]Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Effective Data-Aware Covariance Estimator From Compressed Data. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2441-2454 (2020) - [j128]Yi-Wei Ci, Michael R. Lyu, Zhan Zhang, De-Cheng Zuo, Xiao-Zong Yang:
Random Priority-Based Thrashing Control for Distributed Shared Memory. IEEE Trans. Parallel Distributed Syst. 31(3): 663-674 (2020) - [j127]Liang Chen, Yongjian Ye, Angyu Zheng, Fenfang Xie, Zibin Zheng, Michael R. Lyu:
Incorporating geographical location for team formation in social coding sites. World Wide Web 23(1): 153-174 (2020) - [c368]Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu:
Few Shot Network Compression via Cross Distillation. AAAI 2020: 3203-3210 - [c367]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. AAAI 2020: 8002-8009 - [c366]Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Neuron Interaction Based Representation Composition for Neural Machine Translation. AAAI 2020: 8204-8211 - [c365]Pengpeng Liu, Xintong Han, Michael R. Lyu, Irwin King, Jia Xu:
Learning 3D Face Reconstruction with a Pose Guidance Network. ACCV (5) 2020: 154-169 - [c364]Jichuan Zeng, Xi Victoria Lin, Steven C. H. Hoi, Richard Socher, Caiming Xiong, Michael R. Lyu, Irwin King:
Photon: A Robust Cross-Domain Text-to-SQL System. ACL (demo) 2020: 204-214 - [c363]Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. ACL 2020: 935-945 - [c362]Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai:
Boosting the Transferability of Adversarial Samples via Attention. CVPR 2020: 1158-1167 - [c361]Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching. CVPR 2020: 6647-6656 - [c360]Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai:
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution. CVPR 2020: 8649-8658 - [c359]Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King:
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning. EMNLP (Findings) 2020: 431-440 - [c358]Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. EMNLP (1) 2020: 2255-2266 - [c357]Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu:
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. EMNLP (1) 2020: 2439-2449 - [c356]Yue Wang, Jing Li, Michael R. Lyu, Irwin King:
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings. EMNLP (1) 2020: 3311-3324 - [c355]Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. EMNLP (1) 2020: 3325-3338 - [c354]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Exploiting Unsupervised Data for Emotion Recognition in Conversations. EMNLP (Findings) 2020: 4839-4846 - [c353]Michael R. Lyu, Yuxin Su:
Software Reliability Engineering for Resilient Cloud Operations. ICSOC Workshops 2020: 264-268 - [c352]Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King:
Unsupervised Text Generation by Learning from Search. NeurIPS 2020 - [c351]Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael R. Lyu, Jian Cheng:
Revisiting Parameter Sharing for Automatic Neural Channel Number Search. NeurIPS 2020 - [c350]Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin, Dongmei Zhang, Michael R. Lyu:
Towards intelligent incident management: why we need it and how we make it. ESEC/SIGSOFT FSE 2020: 1487-1497 - [c349]Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. WWW 2020: 1502-1513 - [i69]Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. CoRR abs/2002.03536 (2020) - [i68]Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King:
Automating App Review Response Generation. CoRR abs/2002.03552 (2020) - [i67]Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching. CoRR abs/2004.02138 (2020) - [i66]Xianghong Fang, Haoli Bai, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Variational Attention Models for Language Generation. CoRR abs/2004.09764 (2020) - [i65]Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael R. Lyu:
Why an Android App is Classified as Malware? Towards Malware Classification Interpretation. CoRR abs/2004.11516 (2020) - [i64]Shilin He, Xing Wang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models. CoRR abs/2004.13270 (2020) - [i63]Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. CoRR abs/2004.13278 (2020) - [i62]Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. CoRR abs/2005.12484 (2020) - [i61]Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King:
Unsupervised Text Generation by Learning from Search. CoRR abs/2007.08557 (2020) - [i60]Jichuan Zeng, Xi Victoria Lin, Caiming Xiong, Richard Socher, Michael R. Lyu, Irwin King, Steven C. H. Hoi:
Photon: A Robust Cross-Domain Text-to-SQL System. CoRR abs/2007.15280 (2020) - [i59]Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu:
Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics. CoRR abs/2008.06448 (2020) - [i58]Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. CoRR abs/2008.09976 (2020) - [i57]Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis. CoRR abs/2008.12112 (2020) - [i56]Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu:
A Survey on Automated Log Analysis for Reliability Engineering. CoRR abs/2009.07237 (2020) - [i55]Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King:
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning. CoRR abs/2010.01495 (2020) - [i54]Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu:
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. CoRR abs/2010.01838 (2020) - [i53]<