Lu, Jing

18 publications

ICLRW 2025 BridgeVoC: Insights into Using Schrödinger Bridge for Neural Vocoders Tong Lei, Andong Li, Rilin Chen, Dong Yu, Meng Yu, Jing Lu, Chengshi Zheng
IJCAI 2025 BridgeVoC: Neural Vocoder with Schrödinger Bridge Tong Lei, Zhiyu Zhang, Rilin Chen, Meng Yu, Jing Lu, Chengshi Zheng, Dong Yu, Andong Li
AAAI 2025 Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints Qinfu Xu, Yiwei Wei, Chunlei Wu, Leiquan Wang, Shaozu Yuan, Jie Wu, Jing Lu, Hengyang Zhou
CVPR 2023 Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation Linglan Zhao, Jing Lu, Yunlu Xu, Zhanzhan Cheng, Dashan Guo, Yi Niu, Xiangzhong Fang
CVPR 2023 HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint Beitong Zhou, Jing Lu, Kerui Liu, Yunlu Xu, Zhanzhan Cheng, Yi Niu
NeurIPS 2023 Learning List-Level Domain-Invariant Representations for Ranking Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
ICLR 2023 Promptagator: Few-Shot Dense Retrieval from 8 Examples Zhuyun Dai, Vincent Y Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith Hall, Ming-Wei Chang
ECCV 2022 Distilling Object Detectors with Global Knowledge Sanli Tang, Zhongyu Zhang, Zhanzhan Cheng, Jing Lu, Yunlu Xu, Yi Niu, Fan He
AAAI 2022 PMAL: Open Set Recognition via Robust Prototype Mining Jing Lu, Yunlu Xu, Hao Li, Zhanzhan Cheng, Yi Niu
AAAI 2021 Span-Based Event Coreference Resolution Jing Lu, Vincent Ng
NeurIPS 2020 Kalman Filtering Attention for User Behavior Modeling in CTR Prediction Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan
IJCAI 2019 Position Focused Attention Network for Image-Text Matching Yaxiong Wang, Hao Yang, Xueming Qian, Lin Ma, Jing Lu, Biao Li, Xin Fan
IJCAI 2018 Event Coreference Resolution: A Survey of Two Decades of Research Jing Lu, Vincent Ng
IJCAI 2018 Online Deep Learning: Learning Deep Neural Networks on the Fly Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi
JMLR 2016 Large Scale Online Kernel Learning Jing Lu, Steven C.H. Hoi, Jialei Wang, Peilin Zhao, Zhi-Yong Liu
MLJ 2016 Online Passive-Aggressive Active Learning Jing Lu, Peilin Zhao, Steven C. H. Hoi
ACML 2014 Online Passive Aggressive Active Learning and Its Applications Jing Lu, Peilin Zhao, Steven Hoi
ACML 2013 Second Order Online Collaborative Filtering Jing Lu, Steven Hoi, Jialei Wang