Publications

(^# indicates that Liang is the co-first author, ^† indicates that Liang is the corresponding author)

• [ICML 2025] Kaijun Liu, Sijie Ruan, Liang Zhang, Cheng Long, and Yu Liang. Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion.
• [WSDM 2025] Qiuyu Zhu, Liang Zhang^†, Qianxiong Xu, Kaijun Liu, Cheng Long, and Xiaoyang Wang. HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning.
• [IJCNN 2025] Liang Zhang, Sijie Ruan, Kaijun Liu and Cheng Long. Cold Start Point-of-Interest Representation Learning with Conditional Diffusion Model.
• [TKDE 2024] Liang Zhang, Guannan Liu, Xiaohui Liu, and Junjie Wu. Denoising Item Graph with Disentangled Learning for Recommendation.
• [TKDD 2023] Liang Zhang, and Cheng Long. Road Network Representation Learning: A Dual Graph based Approach.
• [SIGIR 2023] Ran Li^#, Liang Zhang^#, Guannan Liu and Junjie Wu. Next Basket Recommendation with Intent-aware Hypergraph Adversarial Network.
• [TKDE 2022] Liang Zhang, Cheng Long and Gao Cong. Region Embedding with Intra and Inter-View Contrastive Learning.
• [TKDE 2021] Guannan Liu^#, Liang Zhang^# and Junjie Wu. Beyond Similarity: Relation-based Collaborative Filtering.
• [JOMS 2018] Guannan Liu, Liang Zhang, and Baojun Ma. Risk Prediction for Product Return in Electronic Commerce Based on Random Walk.

Papers Under Review

• [Management Science Major Revision] Liang Zhang, Guannan Liu, Junjie Wu, and Yong Tan. Money May Be No Object: Modeling Reference-dependent Choices with Graph Neural Networks.
• [Management Science] Xiaohui Liu, Liang Zhang, Yujing Ma, Wei Ma, and Hock-Hai Teo. The Effect of Dynamic AI Surge Pricing on Passengers’ Tipping Behavior in Ride-hailing Service: An Empirical Evidence from Uber Platform.
• [NIPS 2025] Qiuyu Zhu, Liang Zhang^†, Qianxiong Xu and Cheng Long. HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks.
• [TKDE] Liang Zhang, Zhe Xu, Shijie Zhang, Yuan Li, Zheng Zhang and Xitong Li. SAID: Structure-Aware Pretraining for Few-Shot Query Intent Detection.

Working Papers

• Liang Zhang, Guannan Liu, Junjie Wu, and Yong Tan. Personalized Bundle Design: A Hypergraph-based Approach with Psychological Distance Awareness. To be submitted to Marketing Science (MKSC).

Academic Activities

• Conference Reviewer: KDD, ICDE, VLDB, CIKM, PAKDD, ICDE, WebConf, etc.
• Journal Reviewer: IJOC, TKDE, TKDD, TIST, TNNLS, Information Science, TOIS, etc.