A Modified Levy Jump-Diffusion Model Based on Market Sentiment Memory for Online Jump Prediction. - Zheqing Zhu; Jian-Guo Liu 006; Lei Li 006 (CoRR, 2017)

Multi-Agent Safe Planning with Gaussian Processes. - Zheqing Zhu; Erdem Biyik; Dorsa Sadigh (IROS, 2020)

Scalable Neural Contextual Bandit for Recommender Systems. - Zheqing Zhu; Benjamin Van Roy (CIKM, 2023)

Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning. - Ruiyang Xu; Jalaj Bhandari; Dmytro Korenkevych; Fan Liu; Yuchen He 002; Alex Nikulkov; Zheqing Zhu (RecSys, 2023)

Deep Exploration for Recommendation Systems. - Zheqing Zhu; Benjamin Van Roy (RecSys, 2023)

Optimism Based Exploration in Large-Scale Recommender Systems. - Hongbo Guo; Ruben Naeff; Alex Nikulkov; Zheqing Zhu (CoRR, 2023)

Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning. - Chang-Lin Chen; Hanhan Zhou; Jiayu Chen; Mohammad Pedramfar; Vaneet Aggarwal; Tian Lan 001; Zheqing Zhu; Chi Zhou; Tim Gasser; Pol Mauri Ruiz; Vijay Menon; Neeraj Kumar 004; et al. (CoRR, 2023)

Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling. - Zheqing Zhu; Yueyang Liu; Xu Kuang; Benjamin Van Roy (CoRR, 2023)

Pearl: A Production-ready Reinforcement Learning Agent. - Zheqing Zhu; Rodrigo de Salvo Braz; Jalaj Bhandari; Daniel Jiang; Yi Wan; Yonathan Efroni; Liyuan Wang; Ruiyang Xu; Hongbo Guo; Alex Nikulkov; Dmytro Korenkevych; Ürün Dogan; et al. (CoRR, 2023)

IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. - Rohan Chitnis; Yingchen Xu; Bobak Hashemi; Lucas Lehnert; Ürün Dogan; Zheqing Zhu; Olivier Delalleau (ICRA, 2024)

Offline Reinforcement Learning for Optimizing Production Bidding Policies. - Dmytro Korenkevych; Frank Cheng; Artsiom Balakir; Alex Nikulkov; Lingnan Gao; Zhihao Cen; Zuobing Xu; Zheqing Zhu (KDD, 2024)

Neural Collapse To Multiple Centers For Imbalanced Data. - Hongren Yan; Yuhua Qian; Furong Peng; Jiachen Luo; Zheqing Zhu; Feijiang Li (NeurIPS, 2024)

Uncertainty of Joint Neural Contextual Bandit. - Hongbo Guo; Zheqing Zhu (CoRR, 2024)

Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank. - Wenhao Zhan; Scott Fujimoto; Zheqing Zhu; Jason D. Lee; Daniel R. Jiang; Yonathan Efroni (CoRR, 2024)

Epinet for Content Cold Start. - Hong Jun Jeon; Songbin Liu; Yuantong Li; Jie Lyu 006; Hunter Song; Ji Liu; Peng Wu; Zheqing Zhu (CoRR, 2024)

Correction to: Learning to bid and rank together in recommendation systems. - Geng Ji 001; Wentao Jiang; Jiang Li; Fahmid Morshed Fahid; Zhengxing Chen; Yinghua Li; Jun Xiao; Chongxi Bao; Zheqing Zhu (Mach. Learn., 2024)

Learning to bid and rank together in recommendation systems. - Geng Ji 001; Wentao Jiang; Jiang Li; Fahmid Morshed Fahid; Zhengxing Chen; Yinghua Li; Jun Xiao; Chongxi Bao; Zheqing Zhu (Mach. Learn., 2024)

Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank. - Wenhao Zhan; Scott Fujimoto; Zheqing Zhu; Jason D. Lee; Daniel Jiang; Yonathan Efroni (ICLR, 2025)

ExpDrug: An explainable drug recommendation model based on space feature mapping. - Xuan Lu 001; Yanhong Hao; Furong Peng; Zheqing Zhu; Zhanwen Cheng (Neurocomputing, 2025)

An Empirical Study of Deep Reinforcement Learning in Continuing Tasks. - Yi Wan; Dmytro Korenkevych; Zheqing Zhu (CoRR, 2025)

Aligned Multi Objective Optimization. - Yonathan Efroni; Ben Kertzu; Daniel Jiang; Jalaj Bhandari; Zheqing Zhu; Karen Ullrich (CoRR, 2025)

Learning-Based Two-Tiered Online Optimization of Region-Wide Datacenter Resource Allocation. - Chang-Lin Chen; Hanhan Zhou; Jiayu Chen; Mohammad Pedramfar; Tian Lan 001; Zheqing Zhu; Chi Zhou; Pol Mauri Ruiz; Neeraj Kumar 004; Hongbo Dong; Vaneet Aggarwal (IEEE Trans. Netw. Serv. Manag., 2025)

Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives. - Xiaokun Liu; Sayedmohammadreza Rastegari; Yijun Huang; Sxe Chang Cheong; Weikang Liu; Wenjie Zhao; Qihao Tian; Hongming Wang; Shuo Zhou; Yingjie Guo; Sina Tabakhi; Xianyuan Liu; et al. (CoRR, 2025)

Improving Generative Ad Text on Facebook using Reinforcement Learning. - Daniel R. Jiang; Alex Nikulkov; Yu-Chia Chen; Yang Bai; Zheqing Zhu (CoRR, 2025)