Wei-Wei Tu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 71

Top Topics

Gradient Boosting

Markov Decision Process

Online Convex Optimization

Top Venues

Publications

Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. AAAI (2024)
Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments. CoRR (2024)
Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou
Safe Abductive Learning in the Presence of Inaccurate Rules. AAAI (2024)
Ran Cheng, Hugo Jair Escalante, Wei-Wei Tu, Jan N. van Rijn, Shuo Wang, Yun Yang
Guest Editorial: AutoML for Nonstationary Data. IEEE Trans. Artif. Intell. 5 (6) (2024)
Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo
Transfer and share: semi-supervised learning from long-tailed data. Mach. Learn. 113 (4) (2024)
Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments. ACL (1) (2024)
Ziyan Xiong, Bo Chen, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Yang Gao
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment. CoRR (2024)
Xinyi Yang, Shiyu Huang, Yiwen Sun, Yuxiang Yang, Chao Yu, Wei-Wei Tu, Huazhong Yang, Yu Wang
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation. CoRR (2023)
Shiyu Huang, Wentse Chen, Yiwen Sun, Fuqing Bie, Wei-Wei Tu
OpenRL: A Unified Reinforcement Learning Framework. CoRR (2023)
Haixu Song, Shiyu Huang, Yinpeng Dong, Wei-Wei Tu
Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models. CoRR (2023)
Sijia Chen, Wei-Wei Tu, Peng Zhao, Lijun Zhang
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization. ICML (2023)
Fanqi Lin, Shiyu Huang, Tim Pearce, Wenze Chen, Wei-Wei Tu
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play. CoRR (2023)
Xinyi Yang, Shiyu Huang, Yiwen Sun, Yuxiang Yang, Chao Yu, Wei-Wei Tu, Huazhong Yang, Yu Wang
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation. AAMAS (2023)
Xu Wang, Huan Zhao, Wei-Wei Tu, Quanming Yao
Automated 3D Pre-Training for Molecular Property Prediction. KDD (2023)
Lijun Zhang, Wei-Wei Tu
Efficient Stochastic Approximation of Minimax Excess Risk Optimization. CoRR (2023)
Sijia Chen, Wei-Wei Tu, Peng Zhao, Lijun Zhang
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization. CoRR (2023)
Fanqi Lin, Shiyu Huang, Tim Pearce, Wenze Chen, Wei-Wei Tu
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play. AAMAS (2023)
Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. Frontiers Artif. Intell. 5 (2022)
Yuanyu Wan, Guanghui Wang, Wei-Wei Tu, Lijun Zhang
Projection-free Distributed Online Learning with Sublinear Communication Complexity. J. Mach. Learn. Res. 23 (2022)
Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data. CoRR (2022)
Fanqi Lin, Shiyu Huang, Wei-Wei Tu
Diverse Policies Converge in Reward-Free Markov Decision Processes. PRICAI (1) (2022)
Germán Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios. CoRR (2022)
Zhen Xu, Sergio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao, Huan Zhao, Isabelle Guyon
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform. Patterns 3 (7) (2022)
Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
OmniPrint: A Configurable Printed Character Synthesizer. CoRR (2022)
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
Online Frank-Wolfe with Arbitrary Delays. NeurIPS (2022)
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
Online Frank-Wolfe with Unknown Delays. CoRR (2022)
Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. CoRR (2022)
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
Strongly adaptive online learning over partial intervals. Sci. China Inf. Sci. 65 (10) (2022)
Xiaochen Cai, Hengxing Cai, Kele Xu, Wei-Wei Tu, Wu-Jun Li
VSM: A Versatile Semi-supervised Model for Multi-modal Cell Instance Segmentation. Cell Segmentation Challenge @ NeurIPS (2022)
Germán Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
Didn't see that coming: a survey on non-verbal social human behavior forecasting. CoRR (2022)
Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
LTU Attacker for Membership Inference. CoRR (2022)
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
Online strongly convex optimization with unknown delays. Mach. Learn. 111 (3) (2022)
Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
LTU Attacker for Membership Inference. Algorithms 15 (7) (2022)
Tong Wei, Jiang-Xin Shi, Wei-Wei Tu, Yu-Feng Li
Robust Long-Tailed Learning under Label Noise. CoRR (2021)
Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Wei Jiang, Zhi-Hua Zhou
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions. NeurIPS (2021)
Tong Wei, Wei-Wei Tu, Yu-Feng Li, Guo-Ping Yang
Towards Robust Prediction on Tail Labels. KDD (2021)
Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
OmniPrint: A Configurable Printed Character Synthesizer. NeurIPS Datasets and Benchmarks (2021)
Germán Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios. DYAD@ICCV (2021)
Hugo Jair Escalante, Quanming Yao, Wei-Wei Tu, Nelishia Pillay, Rong Qu, Yang Yu, Neil Houlsby
Guest Editorial: Automated Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Huan Zhao, Quanming Yao, Wei-Wei Tu
Search to aggregate neighborhood for graph neural network. CoRR (2021)
Zhen Xu, Wei-Wei Tu, Isabelle Guyon
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge. CoRR (2021)
Zhen Xu, Wei-Wei Tu, Isabelle Guyon
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge. ECML/PKDD (5) (2021)
Tao Han, Wei-Wei Tu, Yu-Feng Li
Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability. AAAI (2021)
Zhen Xu, Huan Zhao, Wei-Wei Tu, Magali Richard, Sergio Escalera, Isabelle Guyon
Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone. CoRR (2021)
Cristina Palmero, Germán Barquero, Júlio C. S. Jacques Júnior, Albert Clapés, Johnny Núñez, David Curto, Sorina Smeureanu, Javier Selva, Zejian Zhang, David Saeteros, David Gallardo-Pujol, Georgina Guilera, David Leiva, Feng Han, Xiaoxue Feng, Jennifer He, Wei-Wei Tu, Thomas B. Moeslund, Isabelle Guyon, Sergio Escalera
ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions: Dataset, Design, and Results. DYAD@ICCV (2021)
Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. CoRR (2021)
Germán Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
Didn't see that coming: a survey on non-verbal social human behavior forecasting. DYAD@ICCV (2021)
Jingsong Wang, Yuxuan He, Chunyu Zhao, Qijie Shao, Wei-Wei Tu, Tom Ko, Hung-yi Lee, Lei Xie
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines. CoRR (2021)
Cristina Palmero, Júlio C. S. Jacques Júnior, Albert Clapés, Isabelle Guyon, Wei-Wei Tu, Thomas B. Moeslund, Sergio Escalera
Understanding Social Behavior in Dyadic and Small Group Interactions: Preface. DYAD@ICCV (2021)
Jingsong Wang, Yuxuan He, Chunyu Zhao, Qijie Shao, Wei-Wei Tu, Tom Ko, Hung-yi Lee, Lei Xie
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines. Interspeech (2021)
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
Online Strongly Convex Optimization with Unknown Delays. CoRR (2021)
Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
Network On Network for Tabular Data Classification in Real-world Applications. SIGIR (2020)
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
Projection-free Distributed Online Convex Optimization with $O(\sqrt{T})$ Communication Complexity. ICML (2020)
Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification. INTERSPEECH (2020)
Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu
Efficient Neural Architecture Search via Proximal Iterations. AAAI (2020)
Tong Wei, Feng Shi, Hai Wang, Wei-Wei Tu, Yu-Feng Li
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning. CoRR (2020)
Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification. CoRR (2020)
Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
Network On Network for Tabular Data Classification in Real-world Applications. CoRR (2020)
Zhengying Liu, Zhen Xu, Sergio Escalera, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu
Towards automated computer vision: analysis of the AutoCV challenges 2019. Pattern Recognit. Lett. 135 (2020)
Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. IJCAI (2019)
Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang
AutoML @ NeurIPS 2018 challenge: Design and Results. CoRR (2019)
Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales, Wei-Wei Tu, Yang Yu, Lisheng Sun-Hosoya, Isabelle Guyon, Michèle Sebag
Towards AutoML in the presence of Drift: first results. CoRR (2019)
Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu
Differentiable Neural Architecture Search via Proximal Iterations. CoRR (2019)
Yu-Feng Li, Hai Wang, Tong Wei, Wei-Wei Tu
Towards Automated Semi-Supervised Learning. AAAI (2019)
Tong Wei, Wei-Wei Tu, Yu-Feng Li
Learning for Tail Label Data: A Label-Specific Feature Approach. IJCAI (2019)
Zhengying Liu, Zhen Xu, Shangeth Rajaa, Meysam Madadi, Júlio C. S. Jacques Júnior, Sergio Escalera, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu, Isabelle Guyon
Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019. NeurIPS (Competition and Demos) (2019)
Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. KDD (2019)
Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Qiang Yang, Wenyuan Dai
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. CoRR (2019)
Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion. AAAI (2019)
Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yu-Feng Li, Wei-Wei Tu, Qiang Yang, Yang Yu
Taking Human out of Learning Applications: A Survey on Automated Machine Learning. CoRR (2018)
Xiawei Guo, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
Privacy-preserving Transfer Learning for Knowledge Sharing. CoRR (2018)