Liang Zhang

According to our database, Liang Zhang authored at least 28 papers between 2013 and 2026.

Collaborative distances:

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

2026

FedRMamba: Federated Residual Mamba for Multivariate Time-Series Forecasting.

Zhiwei Hu, Liang Zhang, Guangxu Zhu

Proceedings of the ACM Web Conference 2026, 2026

2025

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction.

Haolong Chen, Liang Zhang, Zhengyuan Xin, Guangxu Zhu

CoRR, August, 2025

First Token Probability Guided RAG for Telecom Question Answering.

Tingwei Chen, Jiayi Chen, Zijian Zhao, Haolong Chen, Liang Zhang, Guangxu Zhu

CoRR, January, 2025

Generalizing Personalized Federated Graph Augmentation via Min-max Adversarial Learning.

Liang Zhang, Tao Long, Yang Liu, Lei Zhang, Laizhong Cui, Qingjiang Shi

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Adversarial Contrastive Graph Augmentation with Counterfactual Regularization.

Tao Long, Lei Zhang, Liang Zhang, Laizhong Cui

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation.

Ziwei Liu, Liang Zhang, Qian Li, Jianghua Wu, Guangxu Zhu

CoRR, 2024

Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation.

Xinjian Zhao, Liang Zhang, Yang Liu, Ruocheng Guo, Xiangyu Zhao

CoRR, 2024

2023

Towards Adaptable Graph Representation Learning: An Adaptive Multi-Graph Contrastive Transformer.

Yan Li, Liang Zhang, Xiangyuan Lan, Dongmei Jiang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning.

Xiao Han, Xiangyu Zhao, Liang Zhang, Wanyu Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2021

Adversarial training regularization for negative sampling based network embedding.

Quanyu Dai, Xiao Shen, Zimu Zheng, Liang Zhang, Qiang Li, Dan Wang

Inf. Sci., 2021

2020

An Urban Mobility Model with Buildings Involved: Bridging Theory to Practice.

Zimu Zheng, Feng Wang, Dan Wang, Liang Zhang

ACM Trans. Sens. Networks, 2020

Understand Love of Variety in Wireless Data Market Under Sponsored Data Plans.

Yi Zhao, Haiyang Wang, Hui Su, Liang Zhang, Rui Zhang, Dan Wang, Ke Xu

IEEE J. Sel. Areas Commun., 2020

MaHRL: Multi-goals Abstraction Based Deep Hierarchical Reinforcement Learning for Recommendations.

Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration.

Yumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He, Weipeng Yan

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Adversarial Training Methods for Network Embedding.

Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang

Proceedings of the World Wide Web Conference, 2019

Ranking Network Embedding via Adversarial Learning.

Quanyu Dai, Qiang Li, Liang Zhang, Dan Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Variety matters: a new model for the wireless data market under sponsored data plans.

Yi Zhao, Hui Su, Liang Zhang, Dan Wang, Ke Xu

Proceedings of the International Symposium on Quality of Service, 2019

Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction.

Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Deep Reinforcement Learning for List-wise Recommendations.

Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Dawei Yin, Yihong Zhao, Jiliang Tang

CoRR, 2018

Buildings affect mobile patterns: developing a new urban mobility model.

Zimu Zheng, Feng Wang, Dan Wang, Liang Zhang

Proceedings of the 5th Conference on Systems for Built Environments, 2018

Deep reinforcement learning for page-wise recommendations.

Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.

Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2016

TDS: Time-dependent sponsored data plan for wireless data traffic market.

Liang Zhang, Weijie Wu, Dan Wang

Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

2015

Sponsored Data Plan: A Two-Class Service Model in Wireless Data Networks.

Liang Zhang, Weijie Wu, Dan Wang

Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

2014

Strategy-proof thermal comfort voting in buildings.

Liang Zhang, Abraham Hang-Yat Lam, Dan Wang

Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, 2014

Time dependent pricing in wireless data networks: Flat-rate vs. usage-based schemes.

Liang Zhang, Weijie Wu, Dan Wang

Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Sponsoring content: Motivation and pitfalls for content service providers.

Liang Zhang, Dan Wang

Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014

2013

The effectiveness of time dependent pricing in controlling usage incentives in wireless data network.

Liang Zhang, Weijie Wu, Dan Wang

Proceedings of the ACM SIGCOMM 2013 Conference, 2013