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Zhining Liu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

30

Venues

13

Active years

2019–2026

Best venue rank

A*

Where they publish

Papers

30 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLMem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents.Yuanchen Bei, Tianxin Wei, Xuying Ning, Yanjun Zhao, Zhining Liu, Xiao Lin, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2026ACLAdaFuse: Adaptive Ensemble Decoding for Large Language Models.Chengming Cui, Tianxin Wei, Ziyi Chen, Ruizhong Qiu, Zhichen Zeng, Zhining Liu, Xuying Ning, Duo Zhou, Jingrui He
2026ACLDo VLMs Have a Moral Backbone? A Study on the Fragile Morality of Vision-Language Models.Zhining Liu, Tianyi Wang, Xiao Lin, Penghao Ouyang, Gaotang Li, Ze Yang, Hui Liu, Sumit Keswani, Vishwa Pardeshi, Huijun Zhao, Wei Fan, Hanghang Tong
2026WWWMixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation.Xiao Lin, Zhicheng Tang, Weilin Cong, Mengyue Hang, Kai Wang, Yajuan Wang, Zhichen Zeng, Ting-Wei Li, Hyunsik Yoo, Zhining Liu, Xuying Ning, Ruizhong Qiu, Wen-Yen Chen, Shuo Chang, Rong Jin, Huayu Li, Hanghang Tong
2025ACLSelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence.Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong
2025CIKMClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method.Dongqi Fu, Yada Zhu, Zhining Liu, Lecheng Zheng, Xiao Lin, Zihao Li, Liri Fang, Katherine Tieu, Onkar Bhardwaj, Kommy Weldemariam, Hanghang Tong, Hendrik F. Hamann, Jingrui He
2025EMNLPNot All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity.Zihao Li, Feihao Fang, Xitong Zhang, Jiaru Zou, Zhining Liu, Wei Xiong, Ziwei Wu, Baoyu Jing, Jingrui He
2025ICLRMatcha: Mitigating Graph Structure Shifts with Test-Time Adaptation.Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He
2025ICMLBreaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting.Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025RecSysLLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation.Yunzhe Li, Junting Wang, Hari Sundaram, Zhining Liu
2024AAAIMoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts.Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang
2024AAAIHierarchical Multi-Marginal Optimal Transport for Network Alignment.Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong
2024ICMLClass-Imbalanced Graph Learning without Class Rebalancing.Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong
2024ICMLGraph Mixup on Approximate Gromov-Wasserstein Geodesics.Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong
2024KDDAIM: Attributing, Interpreting, Mitigating Data Unfairness.Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong
2024WWWEnsuring User-side Fairness in Dynamic Recommender Systems.Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong
2023ICDEUADB: Unsupervised Anomaly Detection Booster.Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
2023IJCAIGreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System.Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang
2023KDDWeb-based Long-term Spine Treatment Outcome Forecasting.Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu
2023RecSysTowards Robust Fairness-aware Recommendation.Hao Yang, Zhining Liu, Zeyu Zhang, Chenyi Zhuang, Xu Chen
2022AAAIImbalance-Aware Uplift Modeling for Observational Data.Xuanying Chen, Zhining Liu, Li Yu, Liuyi Yao, Wenpeng Zhang, Yi Dong, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu
2022IJCNLPTowards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning.Zhepei Wei, Yue Wang, Jinnan Li, Zhining Liu, Erxin Yu, Yuan Tian, Xin Wang, Yi Chang
2022KDDNon-stationary Time-aware Kernelized Attention for Temporal Event Prediction.Yu Ma, Zhining Liu, Chenyi Zhuang, Yize Tan, Yi Dong, Wenliang Zhong, Jinjie Gu
2021CIKMAdversarial Learning for Incentive Optimization in Mobile Payment Marketing.Xuanying Chen, Zhining Liu, Li Yu, Sen Li, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu
2020AAAITowards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk.Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He
2020CIKMTwo-Stage Audience Expansion for Financial Targeting in Marketing.Zhining Liu, Xiao-Fan Niu, Chenyi Zhuang, Yize Tan, Yixiang Mu, Jinjie Gu, Guannan Zhang
2020ICASSPInterpretability-Guided Convolutional Neural Networks for Seismic Fault Segmentation.Zhining Liu, Cheng Zhou, Guangmin Hu, Chengyun Song
2020ICDESelf-paced Ensemble for Highly Imbalanced Massive Data Classification.Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
2020KDDHubble: An Industrial System for Audience Expansion in Mobile Marketing.Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi
2019CIKMTowards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks.Zhining Liu, Dawei Zhou, Jingrui He