Wei Wei

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 53

Top Topics

Automatic Evaluation

Language Modeling

Social Networks

Top Venues

EMNLP (Findings)

Publications

Jiayi Chen, Hanjun Dai, Bo Dai, Aidong Zhang, Wei Wei
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval. EMNLP (Findings) (2023)
Jiayi Chen, Hanjun Dai, Bo Dai, Aidong Zhang, Wei Wei
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval. CoRR (2023)
Lijun Yu, Jin Miao, Xiaoyu Sun, Jiayi Chen, Alexander G. Hauptmann, Hanjun Dai, Wei Wei
Document Entity Retrieval with Massive and Noisy Pre-training. CoRR (2023)
Zilong Wang, Yichao Zhou, Wei Wei, Chen-Yu Lee, Sandeep Tata
VRDU: A Benchmark for Visually-rich Document Understanding. KDD (2023)
Lijun Yu, Jin Miao, Xiaoyu Sun, Jiayi Chen, Alexander G. Hauptmann, Hanjun Dai, Wei Wei
DocumentNet: Bridging the Data Gap in Document Pre-training. EMNLP (Industry Track) (2023)
Haoming Jiang, Bo Dai, Mengjiao Yang, Tuo Zhao, Wei Wei
Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach. EMNLP (1) (2021)
Sherry Ruan, Wei Wei, James A. Landay
Variational Deep Knowledge Tracing for Language Learning. LAK (2021)
Pei-Hung Chen, Wei Wei, Cho-Jui Hsieh, Bo Dai
Overcoming Catastrophic Forgetting by Bayesian Generative Regularization. ICML (2021)
Haoming Jiang, Bo Dai, Mengjiao Yang, Wei Wei, Tuo Zhao
Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach. CoRR (2021)
Wei-Cheng Tseng, Wei Wei, Da-Cheng Juan, Min Sun
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module. CoRR (2021)
An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun
InstaNAS: Instance-Aware Neural Architecture Search. AAAI (2020)
Chieh-Yang Chen, Pei-Hsin Wang, Shih-Chieh Chang, Da-Cheng Juan, Wei Wei, Jia-Yu Pan
AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval. EMNLP (Findings) (2020)
Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan
Remix: Rebalanced Mixup. CoRR (2020)
Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister
Differentiable Top-k Operator with Optimal Transport. CoRR (2020)
Ming Zhu, Aman Ahuja, Da-Cheng Juan, Wei Wei, Chandan K. Reddy
Question Answering with Long Multiple-Span Answers. EMNLP (Findings) (2020)
Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan
Remix: Rebalanced Mixup. ECCV Workshops (6) (2020)
Hung-Jen Chen, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization. NeurIPS (2020)
Li-Huang Tsai, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Cheng Juan
Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks. CoRR (2020)
Pei-Hsin Wang, Sheng-Iou Hsieh, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Chang Juan
Contextual Temperature for Language Modeling. CoRR (2020)
Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister
Differentiable Top-k with Optimal Transport. NeurIPS (2020)
Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
Improving Adversarial Robustness via Guided Complement Entropy. ICCV (2019)
Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen
COCO-GAN: Generation by Parts via Conditional Coordinating. CoRR (2019)
Ming Zhu, Aman Ahuja, Wei Wei, Chandan K. Reddy
A Hierarchical Attention Retrieval Model for Healthcare Question Answering. WWW (2019)
Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
Complement Objective Training. ICLR (Poster) (2019)
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh
Natural Adversarial Sentence Generation with Gradient-based Perturbation. CoRR (2019)
Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
Complement Objective Training. CoRR (2019)
Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
Improving Adversarial Robustness via Guided Complement Entropy. CoRR (2019)
Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen
COCO-GAN: Generation by Parts via Conditional Coordinating. ICCV (2019)
Minhao Cheng, Wei Wei, Cho-Jui Hsieh
Evaluating and Enhancing the Robustness of Dialogue Systems: A Case Study on a Negotiation Agent. NAACL-HLT (1) (2019)
Hao-Yun Chen, Li-Huang Tsai, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
Learning with Hierarchical Complement Objective. CoRR (2019)
Chun-Hao Liu, Da-Cheng Juan, Xuan-An Tseng, Wei Wei, Yu-Ting Chen, Jia-Yu Pan, Shih-Chieh Chang
Hierarchical LSTM: Modeling Temporal Dynamics and Taxonomy in Location-Based Mobile Check-Ins. PAKDD (2) (2019)
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh
On the Robustness of Self-Attentive Models. ACL (1) (2019)
Patrick H. Chen, Wei Wei, Cho-Jui Hsieh, Bo Dai
Overcoming Catastrophic Forgetting by Generative Regularization. CoRR (2019)
Albert Shaw, Wei Wei, Weiyang Liu, Le Song, Bo Dai
Meta Architecture Search. NeurIPS (2019)
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, Da-Cheng Juan
Searching toward pareto-optimal device-aware neural architectures. ICCAD (2018)
Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
Thoracic Disease Identification and Localization With Limited Supervision. CVPR (2018)
Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen
Escaping from Collapsing Modes in a Constrained Space. CoRR (2018)
An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun
InstaNAS: Instance-aware Neural Architecture Search. CoRR (2018)
Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures. CoRR (2018)
Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen
Escaping from Collapsing Modes in a Constrained Space. ECCV (7) (2018)
Chi-Hung Hsu, Shu-Huan Chang, Da-Cheng Juan, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Shih-Chieh Chang
MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning. CoRR (2018)
Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun
DPP-Net: Device-Aware Progressive Search for Pareto-Optimal Neural Architectures. ECCV (11) (2018)
Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun
PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures. ICLR (Workshop) (2018)
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, Da-Cheng Juan
Searching Toward Pareto-Optimal Device-Aware Neural Architectures. CoRR (2018)
Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
Thoracic Disease Identification and Localization with Limited Supervision. CoRR (2017)
Aman Ahuja, Wei Wei, Wei Lu, Kathleen M. Carley, Chandan K. Reddy
A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs. ICDM (2017)
Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M. Carley, Yan Zhang
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation. CIKM (2017)
Yujie Qian, Jie Tang, Zhilin Yang, Binxuan Huang, Wei Wei, Kathleen M. Carley
A Probabilistic Framework for Location Inference from Social Media. CoRR (2017)
Kenneth Joseph, Wei Wei, Kathleen M. Carley
Girls Rule, Boys Drool: Extracting Semantic and Affective Stereotypes from Twitter. CSCW (2017)
Wei Wei, Kenneth Joseph, Kathleen M. Carley
Efficient Online Inference for Infinite Evolutionary Cluster models with Applications to Latent Social Event Discovery. CoRR (2017)
Wei Wei, Kenneth Joseph, Huan Liu, Kathleen M. Carley
Exploring characteristics of suspended users and network stability on Twitter. Soc. Netw. Anal. Min. 6 (1) (2016)
Kenneth Joseph, Wei Wei, Kathleen M. Carley
Exploring Patterns of Identity Usage in Tweets: A New Problem, Solution and Case Study. WWW (2016)
Aman Ahuja, Wei Wei, Kathleen M. Carley
Microblog Sentiment Topic Model. ICDM Workshops (2016)
Wei Wei, Kenneth Joseph, Huan Liu, Kathleen M. Carley
The Fragility of Twitter Social Networks Against Suspended Users. ASONAM (2015)
Wei Wei, Kathleen M. Carley
Measuring Temporal Patterns in Dynamic Social Networks. ACM Trans. Knowl. Discov. Data 10 (1) (2015)
Wei Wei, Kenneth Joseph, Wei Lo, Kathleen M. Carley
A Bayesian Graphical Model to Discover Latent Events from Twitter. ICWSM (2015)
Arun Kalyanasundaram, Wei Wei, Kathleen M. Carley, James D. Herbsleb
An agent-based model of edit wars in wikipedia: how and when is consensus reached. WSC (2015)
Kenneth Joseph, Wei Wei, Kathleen M. Carley
An Agent-Based Model for Simultaneous Phone and SMS Traffic over Time. SBP (2013)