| 2024 | AAAI | DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. | Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu |
| 2024 | AAAI | Safe Abductive Learning in the Presence of Inaccurate Rules. | Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yufeng Li, Wang-Zhou Dai, Zhi-Hua Zhou |
| 2024 | ACL | LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments. | Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen |
| 2024 | ICML | Efficient Stochastic Approximation of Minimax Excess Risk Optimization. | Lijun Zhang, Haomin Bai, Wei-Wei Tu, Ping Yang, Yao Hu |
| 2024 | IROS | MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment. | Ziyan Xiong, Bo Chen, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Yang Gao |
| 2023 | ICML | Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization. | Sijia Chen, Wei-Wei Tu, Peng Zhao, Lijun Zhang |
| 2023 | KDD | Automated 3D Pre-Training for Molecular Property Prediction. | Xu Wang, Huan Zhao, Wei-Wei Tu, Quanming Yao |
| 2022 | PRICAI | Diverse Policies Converge in Reward-Free Markov Decision Processes. | Fanqi Lin, Shiyu Huang, Wei-Wei Tu |
| 2021 | AAAI | Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability. | Tao Han, Wei-Wei Tu, Yufeng Li |
| 2021 | ICCV | Didn't see that coming: a survey on non-verbal social human behavior forecasting. | Germn Barquero, Johnny Nez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero |
| 2021 | ICCV | Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios. | Germn Barquero, Johnny Nez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero |
| 2021 | ICCV | ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions: Dataset, Design, and Results. | Cristina Palmero, Germn Barquero, Jlio C. S. Jacques Jnior, Albert Claps, Johnny Nez, 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 | ICCV | Understanding Social Behavior in Dyadic and Small Group Interactions: Preface. | Cristina Palmero, Jlio C. S. Jacques Jnior, Albert Claps, Isabelle Guyon, Wei-Wei Tu, Thomas B. Moeslund, Sergio Escalera |
| 2021 | Interspeech | Auto-KWS 2021 Challenge: Task, Datasets, and Baselines. | Jingsong Wang, Yuxuan He, Chunyu Zhao, Qijie Shao, Wei-Wei Tu, Tom Ko, Hung-yi Lee, Lei Xie |
| 2021 | KDD | Towards Robust Prediction on Tail Labels. | Tong Wei, Wei-Wei Tu, Yufeng Li, Guo-Ping Yang |
| 2020 | AAAI | Efficient Neural Architecture Search via Proximal Iterations. | Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu |
| 2020 | ICML | Projection-free Distributed Online Convex Optimization with $O(\sqrt{T})$ Communication Complexity. | Yuanyu Wan, Wei-Wei Tu, Lijun Zhang |
| 2020 | Interspeech | AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification. | Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie |
| 2020 | SIGIR | Network On Network for Tabular Data Classification in Real-world Applications. | Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang |
| 2019 | AAAI | Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion. | Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai |
| 2019 | AAAI | Towards Automated Semi-Supervised Learning. | Yufeng Li, Hai Wang, Tong Wei, Wei-Wei Tu |
| 2019 | IJCAI | Learning for Tail Label Data: A Label-Specific Feature Approach. | Tong Wei, Wei-Wei Tu, Yufeng Li |
| 2019 | IJCAI | Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. | Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang |
| 2019 | KDD | AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. | Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang |