Community-Aware Multi-Task Transportation Demand Prediction Q Wu*, H Liu* (equal contribution), F Zhuang, X Lu, D Dou, H Xiong Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 320-327, 2021 | 27 | 2021 |
Taking notes on the fly helps language pre-training Q Wu, C Xing, Y Li, G Ke, D He, TY Liu ICLR 2021, 2021 | 26* | 2021 |
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings Q Wu, C Tao, T Shen, C Xu, X Geng, D Jiang EMNLP 2022, 2022 | 22 | 2022 |
Stable contrastive learning for self-supervised sentence embeddings with pseudo-siamese mutual learning Y Xie, Q Wu, W Chen, T Wang IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 3046-3059, 2022 | 5 | 2022 |
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding Q Wu*, K Zhao* (equal contribution), XQ Cai, Y Tsuruoka EACL 2024, 2023 | 4* | 2023 |
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction Q Wu, M Nagata, Y Tsuruoka ACL 2023, 2023 | 4 | 2023 |
Stance detection with stance-wise convolution network D Yang, Q Wu, W Chen, T Wang, Z Qiu, D Liu, Y Cui Natural Language Processing and Chinese Computing: 9th CCF International …, 2020 | 4 | 2020 |
Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment Z Miao, Q Wu, K Zhao, Z Wu, Y Tsuruoka arXiv preprint arXiv:2404.02490, 2024 | 2 | 2024 |
Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association Q Wu, M Zhao, Y He, L Huang, J Ono, H Wakaki, Y Mitsufuji arXiv preprint arXiv:2310.01330, 2023 | 1 | 2023 |
Word Alignment as Preference for Machine Translation Q Wu, M Nagata, Z Miao, Y Tsuruoka arXiv preprint arXiv:2405.09223, 2024 | | 2024 |
Reinforcement Learning from Bagged Reward: A Transformer-based Approach for Instance-Level Reward Redistribution Y Tang, XQ Cai, YX Ding, Q Wu, G Liu, M Sugiyama arXiv preprint arXiv:2402.03771, 2024 | | 2024 |
Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution S Wu, Q Wu, H Dong, W Hua, X Zhou Proceedings of the VLDB Endowment 17 (3), 292-304, 2023 | | 2023 |
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding G Liu, Y Wang, Z Feng, Q Wu, L Tang, Y Gao, Z Li, S Cui, J McAuley, ... Forty-first International Conference on Machine Learning, 0 | | |