Langzhang Liang

According to our database, Langzhang Liang authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

LineageFlow: Flow Matching for High-Fidelity Family-Aware Protein Sequence Generation.

Langzhang Liang, Ming Yang, Yi Feng, Junfan Li, Shirui Pan, Yinghui Xu, Tianlei Ying, Yizhen Zheng, Zenglin Xu

CoRR, May, 2026

Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory.

Mingxi Zou, Zhihan Guo, Langzhang Liang, Zhuo Wang, Qifan Wang, Qingsong Wen, Irwin King, Lizhen Qu, Zenglin Xu

CoRR, May, 2026

DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding.

Mingxi Zou, Jiaxiang Chen, Junfan Li, Langzhang Liang, Qifan Wang, Yinghui Xu, Zenglin Xu

CoRR, March, 2026

GRAND: A Robust Diffusion Framework for Multi-Granularity Graph Anomaly Detection in Web Platforms.

Maolin Wang, Beining Bao, Hongyu Chen, Zichun Liu, Lang Fu, Jun Chu, Langzhang Liang, Zenglin Xu

Proceedings of the ACM Web Conference 2026, 2026

2025

Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification.

Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization.

Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye

IEEE Trans. Knowl. Data Eng., May, 2024

Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs.

Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily.

Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization.

Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Jieping Ye

CoRR, 2022

Style Change Detection Based On Bert And Conv1d.

Qidi Lao, Li Ma, Wenyin Yang, Zexian Yang, Dong Yuan, Zhenlin Tan, Langzhang Liang

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Graph Partner Neural Networks for Semi-Supervised Learning on Graphs.

Langzhang Liang, Cuiyun Gao, Shiyi Chen, Shishi Duan, Yu Pan, Junjin Zheng, Lei Wang, Zenglin Xu

CoRR, 2021