| 2026 | ACL | Beyond Rejection Sampling: Trajectory Fusion for Scaling Mathematical Reasoning. | Jie Deng, Hanshuang Tong, Jun Li, Shining Liang, Ning Wu, Hongzhi Li, Yutao Xie |
| 2026 | ACL | Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data. | Shiping Yang, Jie Wu, Wenbiao Ding, Ning Wu, Shining Liang, Ming Gong, Hongzhi Li, Hengyuan Zhang, Angel X. Chang, Dongmei Zhang |
| 2025 | COLING | Selected Languages are All You Need for Cross-lingual Truthfulness Transfer. | Weihao Liu, Ning Wu, Wenbiao Ding, Shining Liang, Ming Gong, Dongmei Zhang |
| 2025 | WWW | Ploutos: Towards Explainable Stock Movement Prediction with Financial Large Language Model. | Hanshuang Tong, Jun Li, Ning Wu, Ming Gong, Dongmei Zhang, Qi Zhang |
| 2024 | CIKM | Aligning Large Language Model with Direct Multi-Preference Optimization for Recommendation. | Zhuoxi Bai, Ning Wu, Fengyu Cai, Xinyi Zhu, Yun Xiong |
| 2024 | CIKM | HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation. | Lu Zhang, Ning Wu |
| 2024 | EMNLP | Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations. | Nuo Chen, Zinan Zheng, Ning Wu, Ming Gong, Dongmei Zhang, Jia Li |
| 2024 | EMNLP | ControlMath: Controllable Data Generation Promotes Math Generalist Models. | Nuo Chen, Ning Wu, Jianhui Chang, Linjun Shou, Jia Li |
| 2024 | IJCNN | Enhancing Alignment and Uniformity of Contrastive Learning for Knowledge-based Recommendation. | Zuxiang Xie, Junyi Li, Ning Wu |
| 2023 | CIKM | RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. | Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang |
| 2023 | DEXA | NExtGCN: Modeling Node Importance of Graph Convolution Network by Neighbor Excitation for Recommendation. | Jingxue Zhang, Ning Wu, Changchun Yang |
| 2022 | EMNLP | Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. | Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang |
| 2022 | EMNLP | Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. | Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang |
| 2022 | IJCAI | Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. | Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang |
| 2021 | IGARSS | Phase-Preserving Ambiguity Removal of Staggered SAR Image Based on Pixel-Wise Reinforcement Learning. | Ning Wu, Zhe Liu |
| 2021 | KDD | RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation. | Houxing Ren, Jingyuan Wang, Wayne Xin Zhao, Ning Wu |
| 2020 | EMNLP | XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. | Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou |
| 2020 | IGARSS | Removement of Staggered SAR Ambiguity in Low-Oversampling by Deep Learning. | Ning Wu, Mingming Xu, Kun Li, Zhe Liu |
| 2020 | KDD | Learning Effective Road Network Representation with Hierarchical Graph Neural Networks. | Ning Wu, Wayne Xin Zhao, Jingyuan Wang, Dayan Pan |
| 2019 | CIKM | Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation. | Ning Wu, Jingyuan Wang, Wayne Xin Zhao, Yang Jin |
| 2019 | IECON | Poet: A Power Efficient Hybrid Optical NoC Topology for Heterogeneous CPU-GPU Systems. | Tao Cheng, Ning Wu, Gaizhen Yan, Xinggan Zhang, Xiaoqiang Zhang |
| 2019 | IECON | Srax: A Low Crosstalk and Insertion Loss 55 Optical Router for Optical Network-on-Chip. | Xinhao Shi, Ning Wu, Fen Ge, Gaizhen Yan, Yan Xing, Xudong Ma |
| 2019 | IECON | A Compact Hardware Implementation for the SCA-resistant PRESENT Cipher. | Xiao Yu, Ning Wu, Fang Zhou, Jinbao Zhang, Xinggan Zhang |
| 2019 | KDD | Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation. | Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin |
| 2018 | CISS | End-to-end network throughput optimization through last-mile diversity. | Ning Wu, Ao Tang |
| 2017 | SIGMETRICS | HFTraC: High-Frequency Traffic Control. | Ning Wu, Yingjie Bi, Nithin Michael, Ao Tang, John Doyle, Nikolai Matni |
| 2016 | Networking | Time-aware congestion-free routing reconfiguration. | Shih-Hao Tseng, Chiunlin Lim, Ning Wu, Ao Tang |
| 2014 | CISS | Congestion-free routing reconfiguration: Formulation and examples. | Chiunlin Lim, Ning Wu, Ao Tang |
| 2014 | ICARCV | Trajectory optimization of autonomous driving by differential dynamic programming. | Weiwei Huang, Xiaojun Wu, Qun Zhang, Ning Wu, Zhiwei Song |
| 2013 | ICNC | A prediction method enhanced by the degree of nodes. | Ning Wu, Jianping Li, Enming Dong, Zheng Xie |
| 2012 | AINA | A Coverage-Driven Verification Platform for Evaluating NoC Performance and Test Structure. | Ying Zhang, Ning Wu, Xiazhi Ke, Fen Ge |
| 2012 | ISNN | Two-Phase Test Sample Representation with Efficient M-Nearest Neighbor Selection in Face Recognition. | Xinjun Ma, Ning Wu |
| 2010 | ICIP | Face image super resolution by linear transformation. | Hua Huang, Ning Wu, Xin Fan, Chun Qi |
| 2006 | PODS | Flow algorithms for two pipelined filter ordering problems. | Anne Condon, Amol Deshpande, Lisa Hellerstein, Ning Wu |
| 2005 | ECIR | On Compression-Based Text Classification. | Yuval Marton, Ning Wu, Lisa Hellerstein |
| 2005 | IGARSS | Discussion on linear algorithms for simultaneously retrieving TSM, chlorophyll and cdom of case 2 waters in Yellow Sea and East China Sea. | Chengqi Cheng, Hong Li, Ning Wu, Shide Guo, Xiru Xu |
| 2005 | IGARSS | A linear algorithm of retrieval specially designed for ocean water remote sensing in coastal oceans of China. | Shide Guo, Chengqi Cheng, Ning Wu, Hong Li, Xiru Xu, Wenjie Fan |
| 2004 | IGARSS | A study of farmland landscape pattern with TM and DEM. Case study in Yongsheng County, Yunnan Province, P.R.China. | Ning Wu, Chengqi Cheng, Shide Guo, Wenjie Fan, Xiru Xu, Yanglin Wang |