Zhang, Xingxing

25 publications

ICLR 2026 Learning to Draft: Adaptive Speculative Decoding with Reinforcement Learning Jiebin Zhang, Zhenghan Yu, Liang Wang, Nan Yang, Eugene J. Yu, Zheng Li, Yifan Song, Dawei Zhu, Xingxing Zhang, Furu Wei, Sujian Li

ICLR 2025 Advancing Prompt-Based Methods for Replay-Independent General Continual Learning Zhiqi Kang, Liyuan Wang, Xingxing Zhang, Karteek Alahari

CVPR 2025 Knowledge Memorization and Rumination for Pre-Trained Model-Based Class-Incremental Learning Zijian Gao, Wangwang Jia, Xingxing Zhang, Dulan Zhou, Kele Xu, Feng Dawei, Yong Dou, Xinjun Mao, Huaimin Wang

AAAI 2025 Maintaining Fairness in Logit-Based Knowledge Distillation for Class-Incremental Learning Zijian Gao, Shanhao Han, Xingxing Zhang, Kele Xu, Dulan Zhou, Xinjun Mao, Yong Dou, Huaimin Wang

ICLR 2025 Preference Optimization for Reasoning with Pseudo Feedback Fangkai Jiao, Geyang Guo, Xingxing Zhang, Nancy F. Chen, Shafiq Joty, Furu Wei

ICLR 2025 Self-Boosting Large Language Models with Synthetic Preference Data Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei

TMLR 2025 Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei

NeurIPS 2025 Think Only When You Need with Large Hybrid-Reasoning Models Lingjie Jiang, Xun Wu, Shaohan Huang, Qingxiu Dong, Zewen Chi, Li Dong, Xingxing Zhang, Tengchao Lv, Lei Cui, Furu Wei

IJCAI 2024 CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment Kanglei Zhou, Junlin Li, Ruizhi Cai, Liyuan Wang, Xingxing Zhang, Xiaohui Liang

ICML 2024 Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu

ECCV 2024 MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment Kanglei Zhou, Liyuan Wang, Xingxing Zhang, Hubert P. H. Shum, Frederick W. B. Li, Jianguo Li, Xiaohui Liang

ICML 2024 MathScale: Scaling Instruction Tuning for Mathematical Reasoning Zhengyang Tang, Xingxing Zhang, Benyou Wang, Furu Wei

NeurIPS 2024 PEAC: Unsupervised Pre-Training for Cross-Embodiment Reinforcement Learning Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu

NeurIPS 2024 Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks Zijian Gao, Xingxing Zhang, Kele Xu, Xinjun Mao, Huaimin Wang

NeurIPS 2024 xRAG: Extreme Context Compression for Retrieval-Augmented Generation with One Token Xin Cheng, Xun Wang, Xingxing Zhang, Tao Ge, Si-Qing Chen, Furu Wei, Huishuai Zhang, Dongyan Zhao

NeurIPS 2023 Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-Optimality Liyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, Jun Zhu

NeurIPS 2023 Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing

NeurIPSW 2023 Towards a General Framework for Continual Learning with Pre-Training Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu

ECCV 2022 CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One Liyuan Wang, Xingxing Zhang, Qian Li, Jun Zhu, Yi Zhong

ICLR 2022 Memory Replay with Data Compression for Continual Learning Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu

AAAI 2022 Sequence Level Contrastive Learning for Text Summarization Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei

CVPR 2021 Double Low-Rank Representation with Projection Distance Penalty for Clustering Zhiqiang Fu, Yao Zhao, Dongxia Chang, Xingxing Zhang, Yiming Wang

CVPR 2020 Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao

AAAI 2020 DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue Xiaoze Jiang, Jing Yu, Zengchang Qin, Yingying Zhuang, Xingxing Zhang, Yue Hu, Qi Wu

IJCAI 2018 Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection Xingxing Zhang, Zhenfeng Zhu, Yao Zhao, Deqiang Kong