Lizhong Ding

According to our database, Lizhong Ding authored at least 17 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Towards Remote Sensing Change Detection with Neural Memory.

Zhenyu Yang, Gensheng Pei, Yazhou Yao, Tianfei Zhou, Lizhong Ding, Fumin Shen

CoRR, February, 2026

Astro: Activation-guided Structured Regularization for Outlier-Robust LLM Post-Training Quantization.

Xi Chen, Ming Li, Junxi Li, Changsheng Li, Peisong Wang, Lizhong Ding, Ye Yuan, Guoren Wang

CoRR, February, 2026

Learn More with Less: Uncertainty Consistency Guided Query Selection for RLVR.

Hao Yi, Yulan Hu, Xin Li, Sheng Ouyang, Lizhong Ding, Yong Liu

CoRR, January, 2026

GCL-GroW: Graph contrastive learning via group whitening.

Chunhui Zhang, Rui Miao, Lizhong Ding, Pengqi Li, Yuhan Guo, Xingcan Li, Ye Yuan, Guoren Wang

Pattern Recognit., 2026

VPF: Topology-preserving Virtual Path Fusion to tackle over-squashing.

Huiwen Bai, Lizhong Ding, Junyu Zhang, Chunhui Zhang, Jiarun Fu, Liang Chang, Tianlong Gu, Changsheng Li, Ye Yuan, Guoren Wang

Pattern Recognit., 2026

Demystifying Uncertainty in LLMs: Active Calibration between Concepts and Human Evaluations.

Pengqi Li, Lizhong Ding, Zhehao Zhou, Chunhui Zhang, Jiarun Fu, Hao Li, Ye Yuan, Guoren Wang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Counterfactual Planning for Generalizable Agents' Actions.

Jiarun Fu, Lizhong Ding, Qiuning Wei, Yuhan Guo, Yurong Cheng, Junyu Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Rethinking Reward Miscalibration of GRPO in Agentic RL.

Jingyu Liu, Xiaopeng Wu, Jingquan Peng, Kehan Chen, Chuan Yu, Lizhong Ding, Yong Liu

CoRR, September, 2025

DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations.

Yuhan Guo, Lizhong Ding, Shihan Jia, Yanyu Ren, Pengqi Li, Jiarun Fu, Changsheng Li, Ye Yuan, Guoren Wang

CoRR, August, 2025

SchoenbAt: Rethinking Attention with Polynomial basis.

Yuhan Guo, Lizhong Ding, Yuwan Yang, Xuewei Guo

CoRR, May, 2025

Unveiling and Causalizing CoT: A Causal Pespective.

Jiarun Fu, Lizhong Ding, Hao Li, Pengqi Li, Qiuning Wei, Xu Chen

CoRR, February, 2025

Testing for Causal Fairness.

Jiarun Fu, Lizhong Ding, Pengqi Li, Qiuning Wei, Yurong Cheng, Xu Chen

CoRR, February, 2025

ChangeTitans: Toward Remote Sensing Change Detection With Neural Memory.

Zhenyu Yang, Gensheng Pei, Yazhou Yao, Tianfei Zhou, Lizhong Ding, Fumin Shen

IEEE Trans. Geosci. Remote. Sens., 2025

Hierarchy-induced dual-channel tokenized graph learning.

Huiwen Bai, Lizhong Ding, Guoren Wang, Ye Yuan, Junyu Zhang, Yuwan Yang, Lianpeng Qiao

Knowl. Based Syst., 2025

Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity.

Pengqi Li, Lizhong Ding, Jiarun Fu, Chunhui Zhang, Guoren Wang, Ye Yuan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Lava: Language Driven Scalable and Versatile Traffic Video Analytics.

Yanrui Yu, Tianfei Zhou, Jiaxin Sun, Lianpeng Qiao, Lizhong Ding, Ye Yuan, Guoren Wang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

Macformer: Transformer with Random Maclaurin Feature Attention.

Yuhan Guo, Lizhong Ding, Ye Yuan, Guoren Wang

CoRR, 2024