Wei-Wei Tu - RankMe

79 papers A* 17A 5Journal 44Unranked 10

Year	Rank	Type	Title / 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