Wei Wei
Publications
- Differentiable Top-k Operator with Optimal Transport
Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, and Tomas Pfister
arXiv preprint arXiv 2020 - Instanas: Instance-aware neural architecture search
An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, and Min Sun
Association for the Advancement of Artificial Intelligence (AAAI) 2020 - Overcoming Catastrophic Forgetting by Generative Regularization
Patrick H Chen, Wei Wei, Hsieh Cho-jui, and Bo Dai
arXiv preprint arXiv 2019 - Learning with Hierarchical Complement Objective
Hao-Yun Chen, Li-Huang Tsai, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, and Da-Cheng Juan
arXiv preprint arXiv 2019 - Table-to-Text Natural Language Generation with Unseen Schemas
Tianyu Liu, Wei Wei, and William Yang Wang
arXiv preprint arXiv 2019 - QoS-aware Neural Architecture Search
An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, and Min Sun
Neural Information Processing Systems (NeurIPS), Workshop on ML for Systems 2019 - Natural adversarial sentence generation with gradient-based perturba-tion
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, and Cho-Jui Hsieh
arXiv preprint 2019 - Abstract reasoning with distractingfeatures
Kecheng Zheng, Zhengjun Zha, and Wei Wei
Neural Information Processing Systems (NeurIPS) 2019 - Meta architecture search
Albert Shaw, Weiyang Liu, Wei Wei, Bo Dai, and Le Song
Neural Information Processing Systems (NeurIPS) 2019 - Reinforcement learning driven heuristic optimization
Qingpeng Cai, Will Hang, Azalia Mirhoseini, George Tucker, Jingtao Wang, and Wei Wei
Knowledge Discovery and Data Mining (KDD) Workshop on Deep Reinforcement Learning for Knowledge Discovery 2019 - Hierarchical lstm: Modeling temporal dynamics and taxonomy in location-based mobile check-ins
Chun-Hao Liu, Da-Cheng Juan, Xuan-An Tseng, Wei Wei, Yu-Ting Chen, Jia-YuPan, and Shih-Chieh Chang
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2019 - On the robustness of self-attentive models
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, and Cho-Jui Hsieh
Annual Meeting of the Association for Computational Linguistics (ACL) 2019, long paper - Coco-gan: Generation by parts via conditional coordinating
Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, and Hwann-Tzong Chen
International Conference on Computer Vision (ICCV) 2019, oral presentation - Improving adversarial robustness via guided complement entropy
Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, and Da-Cheng Juan
International Conference on Computer Vision (ICCV) 2019 - Evaluating and enhancing the robustness of dialogue systems: A casestudy on a negotiation agent
Minhao Cheng, Wei Wei, and Cho-Jui Hsieh
North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) 2019 - A hierarchical attentionretrieval model for healthcare question answering
Ming Zhu, Aman Ahuja, Wei Wei, and Chandan K Reddy
The World Wide Web Conference (WWW) 2019 - Complement objective training
Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, and Da-Cheng Juan
International Conference on Learning Representations (ICLR) 2019 - Policy certificates:Towards accountable reinforcement learning
Christoph Dann, Lihong Li, Wei Wei, and Emma Brunskill
International Conference on Machine Learning (ICML) 2019 - Searching toward pareto-optimal device-aware neural architectures
An-Chieh Cheng, Jin-Dong Dong, Chi-Hung Hsu, Shu-Huan Chang, Min Sun, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, and Da-Cheng Juan
International Conference on Computer-Aided Design (ICCAD) 2018 - Escaping from collapsing modes in a constrained space
Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, and Hwann-Tzong Chen
European Conference on Computer Vision (ECCV) 2018 - Policy certificates: Towards accountable reinforcement learning
Christoph Dann, Lihong Li, Wei Wei, and Emma Brunskill
Neural Information Processing Systems (NeurIPS) Workshop on Ethical, Social and Governance Issues in AI 2018 - Monas: Multi-objective neural architecture search using reinforcement learning
Chi-Hung Hsu, Shu-Huan Chang, Jhao-Hong Liang, Hsin-Ping Chou, Chun-HaoLiu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, and Da-Cheng Juan
arXiv preprint 2018 - Dpp-net: Device-aware progressive search for pareto-optimal neural architectures
Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, and Min Sun
European Conference on Computer Vision (ECCV) 2018 - Ppp-net: Platform-aware progressive search for pareto-optimal neural architectures
Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, and Min Sun
International Conference on Learning Representations (ICLR) Workshop 2018 - Nested lstm: Modeling taxonomy and temporal dynamics in location-based social network
Xuan-An Tseng, Da-Cheng Juan, Chun-Hao Liu, Wei Wei, Yu-Ting Chen, Jia-YuPan, and Shih-Chieh Chang
Knowledge Discovery and Data Mining (KDD) Workshop on Mining and Learning from Time Series 2018 - Airdialogue: An environment for goal-oriented dialogue research
Wei Wei, Quoc Le, Andrew Dai, and Li-Jia Li
Empirical Methods in Natural Language Processing (EMNLP) 2019, long paper - Thoracic disease identification and localization with limited supervision
Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, and Li Fei-Fei
Computer Vision and Pattern Recognition (CVPR) 2018 - Phase conductor on multi-layered attentions for machine comprehension
Rui Liu, Wei Wei, Weiguang Mao, and Maria Chikina
arXiv preprint 2017 - A probabilistic framework for location inference from social media
Yujie Qian, Jie Tang, Zhilin Yang, Binxuan Huang, Wei Wei, and Kathleen M Carley
arXiv preprint 2017 - Rate: Overcoming noise and sparsity of textual features in real-time location estimation
Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M Carley, and Yan Zhang
Information and Knowledge Management (CIKM) 2017, short paper - A probabilistic geographical aspect-opinion model for geo-tagged microblogs
Aman Ahuja, Wei Wei, Wei Lu, Kathleen M Carley, and Chandan K Reddy
International Conference on Data Mining (ICDM) 2017 - Unified non-parametric models toinfer latent social events on multiple domains
Wei Wei, Kennth Joseph, and Kathleen Carley
arXiv preprint 2017 - Efficient online inference for infiniteevolutionary cluster models with applications to latent social event discovery
Wei Wei, Kennth Joseph, and Kathleen Carley
arXiv preprint 2017 - Structural embedding ofsyntactic trees for machine comprehension
Rui Liu, Junjie Hu, Wei Wei, Zi Yang, and Eric Nyberg
Empirical Methods in Natural Language Processing (EMNLP) 2017, long paper - Girls rule, boys drool: Extractingsemantic and affective stereotypes from twitter
Kenneth Joseph, Wei Wei, and Kathleen M Carley
Computer Supported Cooperative Work and Social Computing (CSCW) 2017 - Using tweets to support disaster planning, warning and response
Peter M Landwehr, Wei Wei, Michael Kowalchuck, and Kathleen M Carley
Safety science 2016 - Microblog sentiment topic model
Aman Ahuja, Wei Wei, and Kathleen M Carley
International Conference on Data Mining (ICDM) workshops 2016 - Probabilistic Models of Topics and Social Events
Wei Wei
PhD thesis, School of Computer Science, Carnegie Mellon University - Exploring characteristics of suspended users and network stability on twitter Wei Wei, Kenneth Joseph, Huan Liu, and Kathleen M Carley Social network analysisand mining 2016
- A social-event based approach to sentiment analysis of identities and behaviors in text
Kenneth Joseph, Wei Wei, Matthew Benigni, and Kathleen M Carley
Journal of Mathematical Sociology 2016 - Exploring patterns of identityusage in tweets: a new problem, solution and case study
Kenneth Joseph, Wei Wei, and Kathleen M Carley
international conference on world wide web (WWW) 2016 - High-dimensional network analytics: mapping topic networks in twitter data during the arab spring
Kathleen M Carley, Wei Wei, and Kenneth Joseph
Big Data over Networks 2016 - Topic modeling in large scale socialnetwork data
Aman Ahuja, Wei Wei, and Kathleen M Carley
Carnegie Mellon University Technical Report 2015 - Measuring temporal patterns in dynamic social networks
Wei Wei and Kathleen M Carley
ACM Transactions on Knowledge Discovery from Data (TKDD) 2015 - A bayesian graphicalmodel to discover latent events from twitter
Wei Wei, Kenneth Joseph, Wei Lo, and Kathleen M Carley
AAAI conferenceon web and social media (ICWSM) 2015 - Modeling similarity in incentivized interaction: A longitudinal case study of stackoverflow
Tanmay Sinha, Wei Wei, and Kathleen Carley
Neural Information and Processing Systems (NIPS) Workshop on Social and Information Networks 2015 - The fragility of twittersocial networks against suspended users
Wei Wei, Kenneth Joseph, Huan Liu, and Kathleen M Carley
Advances in Social Networks Analysis and Mining (ASONAM) 2015 - Anagent-based model of edit wars in wikipedia: How and when is consensus reached
Arun Kalyanasundaram, Wei Wei, Kathleen M Carley, and James D Herbsleb
Winter Simulation Conference 2015 - Real time closeness and betweenness centrality cal-culations on streaming network data
Wei Wei and Kathleen Carley.
InInternational Conference on Social Computing 2014 - An agent-based model for si-multaneous phone and sms traffic over time
Kenneth Joseph, Wei Wei, and Kathleen M Carley.
International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP) 2013 - Handling weighted,asymmetric, self-looped, and disconnected networks in ora
Wei Wei, Jürgen Pfeffer, Jeffrey Reminga, and Kathleen M Carley
Carnegie Mellon University Technical Report 2011 - Influence maximization insocial networks when negative opinions may emerge and propagate
Wei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincon, Xiaorui Sun, Yajun Wang, Wei Wei, and Yifei Yuan
SIAM international conference on data mining (SDM) 2011 - Influence maximization insocial networks when negative opinions may emerge and propagate
Wei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincon, Xiaorui Sun, Yajun Wang, Wei Wei, and Yifei Yuan
Microsoft Research Technical Report 2010
2020
2019
2018
2017
2016
2015 and prior