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2020 – today
- 2026
[j2]Geon Lee
, Kyungho Kim, Fanchen Bu, Langzhang Liang, Kijung Shin:
Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation. Trans. Recomm. Syst. 4(4): 48:1-48:26 (2026)- [c5]Maolin Wang, Beining Bao, Hongyu Chen, Zichun Liu, Lang Fu, Jun Chu, Langzhang Liang, Zenglin Xu:
GRAND: A Robust Diffusion Framework for Multi-Granularity Graph Anomaly Detection in Web Platforms. WWW 2026: 9572-9580 - [i9]Mingxi Zou, Jiaxiang Chen, Junfan Li, Langzhang Liang, Qifan Wang, Yinghui Xu, Zenglin Xu:
DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding. CoRR abs/2603.08145 (2026) - [i8]Mingxi Zou, Zhihan Guo, Langzhang Liang, Zhuo Wang, Qifan Wang, Qingsong Wen, Irwin King, Lizhen Qu, Zenglin Xu:
Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory. CoRR abs/2605.10870 (2026) - [i7]Langzhang Liang, Ming Yang, Yi Feng, Junfan Li, Shirui Pan, Yinghui Xu, Tianlei Ying, Yizhen Zheng, Zenglin Xu:
LineageFlow: Flow Matching for High-Fidelity Family-Aware Protein Sequence Generation. CoRR abs/2605.22252 (2026) - [i6]Mingxi Zou, Langzhang Liang, Zhuo Wang, Yiyang Zhao, Lizhen Qu, Zenglin Xu:
From Attack Success to Attack Severity: Counterfactual Memory Attacks on LLM Agents. CoRR abs/2609.34132 (2026) - [i5]Mingxi Zou, Wei Zhu, Zhuo Wang, Langzhang Liang, Zhiwen Tang, Yinghui Xu, Zenglin Xu:
Waggle: Learning One Anonymous Local Law for Self-Organizing LLM Swarms. CoRR abs/2609.34136 (2026) - 2025
- [c4]Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin:
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification. ICML 2025 - [i4]Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin:
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification. CoRR abs/2506.16110 (2025) - 2024
- [j1]Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye:
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. IEEE Trans. Knowl. Data Eng. 36(5): 2213-2223 (2024) - [c3]Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi:
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. ICML 2024: 29621-29643 - [i3]Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi:
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. CoRR abs/2405.20652 (2024) - 2023
- [c2]Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King:
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily. NeurIPS 2023 - 2022
- [c1]Qidi Lao, Li Ma, Wenyin Yang, Zexian Yang, Dong Yuan, Zhenlin Tan, Langzhang Liang:
Style Change Detection Based On Bert And Conv1d. CLEF (Working Notes) 2022: 2554-2559 - [i2]Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Jieping Ye:
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization. CoRR abs/2206.08181 (2022) - 2021
- [i1]Langzhang Liang, Cuiyun Gao, Shiyi Chen, Shishi Duan, Yu Pan, Junjin Zheng, Lei Wang, Zenglin Xu:
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs. CoRR abs/2110.09182 (2021)
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