Ning Xu - RankMe

70 papers A* 28A 2B 1Journal 38Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	VRM: Teaching Reward Models to Understand Authentic Human Preferences. CoRR Biao Liu, Ning Xu, Jun Yang, Hao Xu, Xin Geng
2026	J	`jnl`	iScript: A Domain-Adapted Large Language Model and Benchmark for Physical Design Tcl Script Generation. CoRR Ning Xu, Zhaoyang Zhang, Senlin Shu, Lei Qi, Jiaqi Lv, Wensuo Wang, Tianhao Zhao, Chao Zhang, Zhaohui Yang, Xiangyu Li, Zhaorui Su, Jingshan Li, Xin Geng
2025	J	`jnl`	Alignment through Meta-Weighted Online Sampling: Bridging the Gap between Data Generation and Preference Optimization. CoRR Junming Yang, Ning Xu, Biao Liu, Shiqi Qiao, Xin Geng
2025	J	`jnl`	Enriching Knowledge Distillation with Intra-Class Contrastive Learning. CoRR Hua Yuan, Ning Xu, Xin Geng, Yong Rui
2025	J	`jnl`	Interactive Fusion Label Enhancement for Multi-Label Learning. ACM Trans. Knowl. Discov. Data Xingyu Zhao, Yuexuan An, Ning Xu, Lei Qi, Xin Geng
2025	J	`jnl`	Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. Yuexuan An, Hui Xue, Xingyu Zhao, Ning Xu, Pengfei Fang, Xin Geng
2025	A	`conf`	MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs. ICCAD Chenchen Zhao, Zhengyuan Shi, Xiangyu Wen, Chengjie Liu, Yi Liu, Yunhao Zhou, Yuxiang Zhao, Hefei Feng, Yinan Zhu, Gwok-Waa Wan, Xin Cheng, Weiyu Chen, Yongqi Fu, Chujie Chen, Chenhao Xue, Ying Wang, Yibo Lin, Jun Yang, Ning Xu, Xi Wang, Qiang Xu
2025	J	`jnl`	MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs. CoRR Chenchen Zhao, Zhengyuan Shi, Xiangyu Wen, Chengjie Liu, Yi Liu, Yunhao Zhou, Yuxiang Zhao, Hefei Feng, Yinan Zhu, Gwok-Waa Wan, Xin Cheng, Weiyu Chen, Yongqi Fu, Chujie Chen, Chenhao Xue, Guangyu Sun, Ying Wang, Yibo Lin, Jun Yang, Ning Xu, Xi Wang, Qiang Xu
2025	J	`jnl`	Preference Orchestrator: Prompt-Aware Multi-Objective Alignment for Large Language Models. CoRR Biao Liu, Ning Xu, Jun Yang, Xin Geng
2025	A*	`conf`	Progressively Label Enhancement for Large Language Model Alignment. ICML Biao Liu, Ning Xu, Xin Geng
2025	A*	`conf`	Selective Label Enhancement Learning for Test-Time Adaptation. ICLR Yihao Hu, Congyu Qiao, Xin Geng, Ning Xu
2025	J	`jnl`	Towards Understanding Feature Learning in Parameter Transfer. CoRR Hua Yuan, Xuran Meng, Qiufeng Wang, Shiyu Xia, Ning Xu, Xu Yang, Jing Wang, Xin Geng, Yong Rui
2025	A	`conf`	VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning. UAI Jie Wang, Ning Xu, Xin Geng
2024	A*	`conf`	Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning. ICML Ning Xu, Yihao Hu, Congyu Qiao, Xin Geng
2024	J	`jnl`	ChipExpert: The Open-Source Integrated-Circuit-Design-Specific Large Language Model. CoRR Ning Xu, Zhaoyang Zhang, Lei Qi, Wensuo Wang, Chao Zhang, Zihao Ren, Huaiyuan Zhang, Xin Cheng, Yanqi Zhang, Zhichao Liu, Qingwen Wei, Shiyang Wu, Lanlan Yang, Qianfeng Lu, Yiqun Ma, Mengyao Zhao, Junbo Liu, Yufan Song, Xin Geng, Jun Yang
2024	A*	`conf`	Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning. ICML Biao Liu, Ning Xu, Xiangyu Fang, Xin Geng
2024	J	`jnl`	LAMPlace: Legalization-Aided Reinforcement Learning-Based Macro Placement for Mixed-Size Designs With Preplaced Blocks. IEEE Trans. Circuits Syst. II Express Briefs Hao Gu, Jian Gu, Keyu Peng, Ziran Zhu, Ning Xu, Xin Geng, Jun Yang
2024	A*	`conf`	Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency. ICML Yangfan Liu, Jiaqi Lv, Xin Geng, Ning Xu
2024	J	`jnl`	On the Robustness of Average Losses for Partial-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama
2024	J	`jnl`	Progressively Selective Label Enhancement for Language Model Alignment. CoRR Biao Liu, Ning Xu, Xin Geng
2024	J	`jnl`	Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning. CoRR Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng
2024	A*	`conf`	ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision. ICML Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng
2024	J	`jnl`	Variational Continuous Label Distribution Learning for Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng
2024	J	`jnl`	Variational Label Enhancement for Instance-Dependent Partial Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. Ning Xu, Congyu Qiao, Yuchen Zhao, Xin Geng, Min-Ling Zhang
2024	B	`conf`	Variational Label-Correlation Enhancement for Congestion Prediction. ASPDAC Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang
2024	A*	`conf`	What Makes Partial-Label Learning Algorithms Effective? NeurIPS Jiaqi Lv, Yangfan Liu, Shiyu Xia, Ning Xu, Miao Xu, Gang Niu, Min-Ling Zhang, Masashi Sugiyama, Xin Geng
2023	J	`jnl`	Can Class-Priors Help Single-Positive Multi-Label Learning? CoRR Biao Liu, Jie Wang, Ning Xu, Xin Geng
2023	J	`jnl`	Continuous label distribution learning. Pattern Recognit. Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng
2023	A*	`conf`	Decompositional Generation Process for Instance-Dependent Partial Label Learning. ICLR Congyu Qiao, Ning Xu, Xin Geng
2023	A*	`conf`	FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning. ICML Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng
2023	J	`jnl`	Fast Label Enhancement for Label Distribution Learning. IEEE Trans. Knowl. Data Eng. Ke Wang, Ning Xu, Miaogen Ling, Xin Geng
2023	A*	`conf`	Imbalanced Label Distribution Learning. AAAI Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng
2023	A*	`conf`	Learning From Biased Soft Labels. NeurIPS Hua Yuan, Yu Shi, Ning Xu, Xu Yang, Xin Geng, Yong Rui
2023	J	`jnl`	Learning From Biased Soft Labels. CoRR Hua Yuan, Ning Xu, Yu Shi, Xin Geng, Yong Rui
2023	J	`jnl`	Multi-View Partial Multi-Label Learning via Graph-Fusion-Based Label Enhancement. IEEE Trans. Knowl. Data Eng. Ning Xu, Yong-Di Wu, Congyu Qiao, Yi Ren, Minxue Zhang, Xin Geng
2023	J	`jnl`	Progressive Enhancement of Label Distributions for Partial Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. Ning Xu, Yun-Peng Liu, Yan Zhang, Xin Geng
2023	A*	`conf`	Progressive Purification for Instance-Dependent Partial Label Learning. ICML Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng
2023	A*	`conf`	Revisiting Pseudo-Label for Single-Positive Multi-Label Learning. ICML Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng
2023	A*	`conf`	Towards Effective Visual Representations for Partial-Label Learning. CVPR Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng
2023	J	`jnl`	Towards Effective Visual Representations for Partial-Label Learning. CoRR Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng
2023	J	`jnl`	Trusted-Data-Guided Label Enhancement on Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. Ning Xu, Jia-Yu Li, Yun-Peng Liu, Xin Geng
2023	A*	`conf`	Unreliable Partial Label Learning with Recursive Separation. IJCAI Yu Shi, Ning Xu, Hua Yuan, Xin Geng
2023	J	`jnl`	Unreliable Partial Label Learning with Recursive Separation. CoRR Yu Shi, Ning Xu, Hua Yuan, Xin Geng
2023	J	`jnl`	Variational Label Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. Ning Xu, Jun Shu, RenYi Zheng, Xin Geng, Deyu Meng, Min-Ling Zhang
2023	J	`jnl`	Variational Label-Correlation Enhancement for Congestion Prediction. CoRR Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang
2022	A*	`conf`	Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. IJCAI Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng
2022	J	`jnl`	Decomposition-based Generation Process for Instance-Dependent Partial Label Learning. CoRR Congyu Qiao, Ning Xu, Xin Geng
2022	J	`jnl`	Feature-Induced Label Distribution for Learning with Noisy Labels. Pattern Recognit. Lett. Minxue Zhang, Ning Xu, Xin Geng
2022	A*	`conf`	Fusion Label Enhancement for Multi-Label Learning. IJCAI Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng
2022	J	`jnl`	Label distribution for multimodal machine learning. Frontiers Comput. Sci. Yi Ren, Ning Xu, Miaogen Ling, Xin Geng
2022	A*	`conf`	Learngene: From Open-World to Your Learning Task. AAAI Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu
2022	A*	`conf`	One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. NeurIPS Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
2022	J	`jnl`	One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement. CoRR Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
2022	J	`jnl`	Progressive Purification for Instance-Dependent Partial Label Learning. CoRR Ning Xu, Jiaqi Lv, Biao Liu, Congyu Qiao, Xin Geng
2021	J	`jnl`	Compact learning for multi-label classification. Pattern Recognit. Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yunpeng Liu, Ning Xu, Xin Geng
2021	A*	`conf`	Instance-Dependent Partial Label Learning. NeurIPS Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang
2021	J	`jnl`	Instance-Dependent Partial Label Learning. CoRR Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang
2021	J	`jnl`	Label Enhancement for Label Distribution Learning. IEEE Trans. Knowl. Data Eng. Ning Xu, Yun-Peng Liu, Xin Geng
2021	J	`jnl`	Learngene: From Open-World to Your Learning Task. CoRR Qiufeng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu
2021	A*	`conf`	Video Summarization via Label Distributions Dual-Reward. IJCAI Yongbiao Gao, Ning Xu, Xin Geng
2020	J	`jnl`	Compact Learning for Multi-Label Classification. CoRR Jiaqi Lv, Tianran Wu, Cheng-Lun Peng, Yunpeng Liu, Ning Xu, Xin Geng
2020	A*	`conf`	Label Distribution for Learning with Noisy Labels. IJCAI Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng
2020	A*	`conf`	Partial Multi-Label Learning with Label Distribution. AAAI Ning Xu, Yun-Peng Liu, Xin Geng
2020	A*	`conf`	Variational Label Enhancement. ICML Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng
2019	A*	`conf`	Partial Label Learning via Label Enhancement. AAAI Ning Xu, Jiaqi Lv, Xin Geng
2019	A*	`conf`	Weakly Supervised Multi-Label Learning via Label Enhancement. IJCAI Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng
2018	A*	`conf`	Label Enhancement for Label Distribution Learning. IJCAI Ning Xu, An Tao, Xin Geng
2018	—	`conf`	Labeling Information Enhancement for Multi-label Learning with Low-Rank Subspace. PRICAI (1) An Tao, Ning Xu, Xin Geng
2018	A*	`conf`	Multi-label Learning with Label Enhancement. ICDM Ruifeng Shao, Ning Xu, Xin Geng
2017	J	`jnl`	Multi-Label Learning with Label Enhancement. CoRR Ruifeng Shao, Xin Geng, Ning Xu