Wei-Wei Tu

79 papers A* 17A 5Journal 44Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Optimal large-scale stochastic optimization of NDCG surrogates for deep learning.
Mach. Learn.
Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong, Wei-Wei Tu, Lijun Zhang, Tianbao Yang
2024 J jnl
A Survey on Self-play Methods in Reinforcement Learning.
CoRR
Ruize Zhang, Zelai Xu, Chengdong Ma, Chao Yu, Wei-Wei Tu, Shiyu Huang, Deheng Ye, Wenbo Ding, Yaodong Yang, Yu Wang
2024 A* conf
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization.
AAAI
Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu
2024 A* conf
Efficient Stochastic Approximation of Minimax Excess Risk Optimization.
ICML
Lijun Zhang, Haomin Bai, Wei-Wei Tu, Ping Yang, Yao Hu
2024 J jnl
Guest Editorial: AutoML for Nonstationary Data.
IEEE Trans. Artif. Intell.
Ran Cheng, Hugo Jair Escalante, Wei-Wei Tu, Jan N. van Rijn, Shuo Wang, Yun Yang
2024 — conf
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments.
ACL (1)
Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen
2024 J jnl
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments.
CoRR
Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen
2024 A conf
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment.
IROS
Ziyan Xiong, Bo Chen, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Yang Gao
2024 J jnl
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment.
CoRR
Ziyan Xiong, Bo Chen, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Yang Gao
2024 J jnl
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization.
J. Mach. Learn. Res.
Sijia Chen, Yu-Jie Zhang, Wei-Wei Tu, Peng Zhao, Lijun Zhang
2024 A* conf
Safe Abductive Learning in the Presence of Inaccurate Rules.
AAAI
Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou
2024 J jnl
Transfer and share: semi-supervised learning from long-tailed data.
Mach. Learn.
Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo
2023 A* conf
Automated 3D Pre-Training for Molecular Property Prediction.
KDD
Xu Wang, Huan Zhao, Wei-Wei Tu, Quanming Yao
2023 J jnl
Efficient Stochastic Approximation of Minimax Excess Risk Optimization.
CoRR
Lijun Zhang, Wei-Wei Tu
2023 A conf
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation.
AAMAS
Xinyi Yang, Shiyu Huang, Yiwen Sun, Yuxiang Yang, Chao Yu, Wei-Wei Tu, Huazhong Yang, Yu Wang
2023 J jnl
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation.
CoRR
Xinyi Yang, Shiyu Huang, Yiwen Sun, Yuxiang Yang, Chao Yu, Wei-Wei Tu, Huazhong Yang, Yu Wang
2023 J jnl
OpenRL: A Unified Reinforcement Learning Framework.
CoRR
Shiyu Huang, Wentse Chen, Yiwen Sun, Fuqing Bie, Wei-Wei Tu
2023 A* conf
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization.
ICML
Sijia Chen, Wei-Wei Tu, Peng Zhao, Lijun Zhang
2023 J jnl
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization.
CoRR
Sijia Chen, Wei-Wei Tu, Peng Zhao, Lijun Zhang
2023 J jnl
Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models.
CoRR
Haixu Song, Shiyu Huang, Yinpeng Dong, Wei-Wei Tu
2023 A conf
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play.
AAMAS
Fanqi Lin, Shiyu Huang, Tim Pearce, Wenze Chen, Wei-Wei Tu
2023 J jnl
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play.
CoRR
Fanqi Lin, Shiyu Huang, Tim Pearce, Wenze Chen, Wei-Wei Tu
2022 J jnl
Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020.
Frontiers Artif. Intell.
Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
2022 J jnl
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020.
CoRR
Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
2022 J jnl
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform.
Patterns
Zhen Xu, Sergio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao, Huan Zhao, Isabelle Guyon
2022 J jnl
Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios.
CoRR
Germán Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
2022 J jnl
Didn't see that coming: a survey on non-verbal social human behavior forecasting.
CoRR
Germán Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
2022 — conf
Diverse Policies Converge in Reward-Free Markov Decision Processes.
PRICAI (1)
Fanqi Lin, Shiyu Huang, Wei-Wei Tu
2022 J jnl
LTU Attacker for Membership Inference.
Algorithms
Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
2022 J jnl
LTU Attacker for Membership Inference.
CoRR
Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
2022 J jnl
OmniPrint: A Configurable Printed Character Synthesizer.
CoRR
Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
2022 A* conf
Online Frank-Wolfe with Arbitrary Delays.
NeurIPS
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
2022 J jnl
Online Frank-Wolfe with Unknown Delays.
CoRR
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
2022 J jnl
Online strongly convex optimization with unknown delays.
Mach. Learn.
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
2022 J jnl
Projection-free Distributed Online Learning with Sublinear Communication Complexity.
J. Mach. Learn. Res.
Yuanyu Wan, Guanghui Wang, Wei-Wei Tu, Lijun Zhang
2022 J jnl
Strongly adaptive online learning over partial intervals.
Sci. China Inf. Sci.
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
2022 J jnl
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data.
CoRR
Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo
2022 — conf
VSM: A Versatile Semi-supervised Model for Multi-modal Cell Instance Segmentation.
Cell Segmentation Challenge @ NeurIPS
Xiaochen Cai, Hengxing Cai, Kele Xu, Wei-Wei Tu, Wu-Jun Li
2021 A conf
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines.
Interspeech
Jingsong Wang, Yuxuan He, Chunyu Zhao, Qijie Shao, Wei-Wei Tu, Tom Ko, Hung-yi Lee, Lei Xie
2021 J jnl
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines.
CoRR
Jingsong Wang, Yuxuan He, Chunyu Zhao, Qijie Shao, Wei-Wei Tu, Tom Ko, Hung-yi Lee, Lei Xie
2021 — conf
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge.
ECML/PKDD (5)
Zhen Xu, Wei-Wei Tu, Isabelle Guyon
2021 J jnl
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge.
CoRR
Zhen Xu, Wei-Wei Tu, Isabelle Guyon
2021 — ed.
ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, DYAD 2021, held in conjunction with ICCV 2021, Virtual, October 16, 2021
DYAD@ICCV
Cristina Palmero, Júlio C. S. Jacques Júnior, Albert Clapés, Isabelle Guyon, Wei-Wei Tu, Thomas B. Moeslund, Sergio Escalera
2021 — conf
ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions: Dataset, Design, and Results.
DYAD@ICCV
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
2021 J jnl
Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone.
CoRR
Zhen Xu, Huan Zhao, Wei-Wei Tu, Magali Richard, Sergio Escalera, Isabelle Guyon
2021 — conf
Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios.
DYAD@ICCV
Germán Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
2021 — conf
Didn't see that coming: a survey on non-verbal social human behavior forecasting.
DYAD@ICCV
Germán Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
2021 A* conf
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions.
NeurIPS
Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Wei Jiang, Zhi-Hua Zhou
2021 A* conf
Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability.
AAAI
Tao Han, Wei-Wei Tu, Yufeng Li
2021 J jnl
Guest Editorial: Automated Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Hugo Jair Escalante, Quanming Yao, Wei-Wei Tu, Nelishia Pillay, Rong Qu, Yang Yu, Neil Houlsby
2021 — conf
OmniPrint: A Configurable Printed Character Synthesizer.
NeurIPS Datasets and Benchmarks
Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
2021 J jnl
Online Strongly Convex Optimization with Unknown Delays.
CoRR
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
2021 J jnl
Robust Long-Tailed Learning under Label Noise.
CoRR
Tong Wei, Jiang-Xin Shi, Wei-Wei Tu, Yufeng Li
2021 J jnl
Search to aggregate neighborhood for graph neural network.
CoRR
Huan Zhao, Quanming Yao, Wei-Wei Tu
2021 J jnl
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction.
CoRR
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
2021 A* conf
Towards Robust Prediction on Tail Labels.
KDD
Tong Wei, Wei-Wei Tu, Yufeng Li, Guo-Ping Yang
2021 — conf
Understanding Social Behavior in Dyadic and Small Group Interactions: Preface.
DYAD@ICCV
Cristina Palmero, Júlio C. S. Jacques Júnior, Albert Clapés, Isabelle Guyon, Wei-Wei Tu, Thomas B. Moeslund, Sergio Escalera
2020 A conf
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification.
INTERSPEECH
Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie
2020 J jnl
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification.
CoRR
Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie
2020 A* conf
Efficient Neural Architecture Search via Proximal Iterations.
AAAI
Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu
2020 J jnl
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning.
CoRR
Tong Wei, Feng Shi, Hai Wang, Wei-Wei Tu, Yufeng Li
2020 A* conf
Network On Network for Tabular Data Classification in Real-world Applications.
SIGIR
Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2020 J jnl
Network On Network for Tabular Data Classification in Real-world Applications.
CoRR
Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2020 — ch.
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.
Federated Learning
Xiawei Guo, Quanming Yao, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2020 A* conf
Projection-free Distributed Online Convex Optimization with $O(\sqrt{T})$ Communication Complexity.
ICML
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
2020 J jnl
Towards automated computer vision: analysis of the AutoCV challenges 2019.
Pattern Recognit. Lett.
Zhengying Liu, Zhen Xu, Sergio Escalera, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu
2019 — ch.
Analysis of the AutoML Challenge Series 2015-2018.
Automated Machine Learning
Isabelle Guyon, Lisheng Sun-Hosoya, Marc Boullé, Hugo Jair Escalante, Sergio Escalera, Zhengying Liu, Damir Jajetic, Bisakha Ray, Mehreen Saeed, Michèle Sebag, Alexander R. Statnikov, Wei-Wei Tu, Evelyne Viegas
2019 A* conf
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications.
KDD
Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2019 J jnl
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications.
CoRR
Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Qiang Yang, Wenyuan Dai
2019 J jnl
AutoML @ NeurIPS 2018 challenge: Design and Results.
CoRR
Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2019 J jnl
Differentiable Neural Architecture Search via Proximal Iterations.
CoRR
Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu
2019 A* conf
Learning for Tail Label Data: A Label-Specific Feature Approach.
IJCAI
Tong Wei, Wei-Wei Tu, Yufeng Li
2019 A* conf
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion.
AAAI
Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai
2019 A* conf
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.
IJCAI
Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2019 J jnl
Towards AutoML in the presence of Drift: first results.
CoRR
Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales, Wei-Wei Tu, Yang Yu, Lisheng Sun-Hosoya, Isabelle Guyon, Michèle Sebag
2019 — conf
Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019.
NeurIPS (Competition and Demos)
Zhengying Liu, Zhen Xu, Shangeth Rajaa, Meysam Madadi, Júlio C. S. Jacques Júnior, Sergio Escalera, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu, Isabelle Guyon
2019 A* conf
Towards Automated Semi-Supervised Learning.
AAAI
Yufeng Li, Hai Wang, Tong Wei, Wei-Wei Tu
2018 J jnl
Privacy-preserving Transfer Learning for Knowledge Sharing.
CoRR
Xiawei Guo, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2018 J jnl
Taking Human out of Learning Applications: A Survey on Automated Machine Learning.
CoRR
Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yufeng Li, Wei-Wei Tu, Qiang Yang, Yang Yu