The effectiveness of time dependent pricing in controlling usage incentives in wireless data network. - Liang Zhang 042; Weijie Wu; Dan Wang 002 (SIGCOMM, 2013)

Sponsoring content: Motivation and pitfalls for content service providers. - Liang Zhang 042; Dan Wang 002 (INFOCOM Workshops, 2014)

Time dependent pricing in wireless data networks: Flat-rate vs. usage-based schemes. - Liang Zhang 042; Weijie Wu; Dan Wang 002 (INFOCOM, 2014)

Strategy-proof thermal comfort voting in buildings. - Liang Zhang 042; Abraham Hang-Yat Lam; Dan Wang 002 (BuildSys, 2014)

Sponsored Data Plan: A Two-Class Service Model in Wireless Data Networks. - Liang Zhang 042; Weijie Wu; Dan Wang 002 (SIGMETRICS, 2015)

TDS: Time-dependent sponsored data plan for wireless data traffic market. - Liang Zhang 042; Weijie Wu; Dan Wang 002 (INFOCOM, 2016)

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. - Xiangyu Zhao 001; Liang Zhang 042; Zhuoye Ding; Long Xia; Jiliang Tang; Dawei Yin 001 (KDD, 2018)

Deep reinforcement learning for page-wise recommendations. - Xiangyu Zhao 001; Long Xia; Liang Zhang 042; Zhuoye Ding; Dawei Yin 001; Jiliang Tang (RecSys, 2018)

Buildings affect mobile patterns: developing a new urban mobility model. - Zimu Zheng; Feng Wang 001; Dan Wang 002; Liang Zhang 042 (BuildSys, 2018)

Deep Reinforcement Learning for List-wise Recommendations. - Xiangyu Zhao 001; Liang Zhang 042; Zhuoye Ding; Dawei Yin 001; Yihong Zhao 002; Jiliang Tang (CoRR, 2018)

Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction. - Yikai Wang 001; Liang Zhang 042; Quanyu Dai; Fuchun Sun 001; Bo Zhang 010; Yang He; Weipeng Yan; Yongjun Bao (CIKM, 2019)

Variety matters: a new model for the wireless data market under sponsored data plans. - Yi Zhao 011; Hui Su; Liang Zhang 042; Dan Wang 002; Ke Xu 002 (IWQoS, 2019)

Ranking Network Embedding via Adversarial Learning. - Quanyu Dai; Qiang Li 024; Liang Zhang 042; Dan Wang 002 (PAKDD (3), 2019)

Adversarial Training Methods for Network Embedding. - Quanyu Dai; Xiao Shen 001; Liang Zhang 042; Qiang Li 024; Dan Wang 002 (WWW, 2019)

An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration. - Yumin Su; Liang Zhang 042; Quanyu Dai; Bo Zhang 086; Jinyao Yan; Dan Wang 002; Yongjun Bao; Sulong Xu; Yang He; Weipeng Yan (IJCAI, 2020)

MaHRL: Multi-goals Abstraction Based Deep Hierarchical Reinforcement Learning for Recommendations. - Dongyang Zhao; Liang Zhang 042; Bo Zhang 010; Lizhou Zheng; Yongjun Bao; Weipeng Yan (SIGIR, 2020)

Understand Love of Variety in Wireless Data Market Under Sponsored Data Plans. - Yi Zhao 011; Haiyang Wang; Hui Su; Liang Zhang 042; Rui Zhang 017; Dan Wang 002; Ke Xu 002 (IEEE J. Sel. Areas Commun., 2020)

An Urban Mobility Model with Buildings Involved: Bridging Theory to Practice. - Zimu Zheng; Feng Wang 001; Dan Wang 002; Liang Zhang 042 (ACM Trans. Sens. Networks, 2020)

Adversarial training regularization for negative sampling based network embedding. - Quanyu Dai; Xiao Shen 001; Zimu Zheng; Liang Zhang 042; Qiang Li 024; Dan Wang 002 (Inf. Sci., 2021)

Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning. - Xiao Han 004; Xiangyu Zhao 001; Liang Zhang 042; Wanyu Wang (KDD, 2023)

Towards Adaptable Graph Representation Learning: An Adaptive Multi-Graph Contrastive Transformer. - Yan Li 121; Liang Zhang 042; Xiangyuan Lan; Dongmei Jiang (ACM Multimedia, 2023)

Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation. - Xinjian Zhao; Liang Zhang 042; Yang Liu 018; Ruocheng Guo; Xiangyu Zhao 001 (CoRR, 2024)

Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation. - Ziwei Liu; Liang Zhang 042; Qian Li; Jianghua Wu; Guangxu Zhu (CoRR, 2024)

Adversarial Contrastive Graph Augmentation with Counterfactual Regularization. - Tao Long 002; Lei Zhang 066; Liang Zhang 042; Laizhong Cui (AAAI, 2025)

Generalizing Personalized Federated Graph Augmentation via Min-max Adversarial Learning. - Liang Zhang 042; Tao Long 002; Yang Liu 017; Lei Zhang 066; Laizhong Cui; Qingjiang Shi (KDD (1), 2025)

First Token Probability Guided RAG for Telecom Question Answering. - Tingwei Chen; Jiayi Chen; Zijian Zhao 002; Haolong Chen; Liang Zhang 042; Guangxu Zhu (CoRR, 2025)

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction. - Haolong Chen; Liang Zhang 042; Zhengyuan Xin; Guangxu Zhu (CoRR, 2025)

FedRMamba: Federated Residual Mamba for Multivariate Time-Series Forecasting. - Zhiwei Hu; Liang Zhang 042; Guangxu Zhu (WWW, 2026)