Skip to content
cs-conference-ranking.org

Xujiang Zhao

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

35

Venues

15

Active years

2018–2026

Best venue rank

A*

Where they publish

Papers

35 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIOut-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models.Zhixia He, Chen Zhao, Minglai Shao, Xintao Wu, Xujiang Zhao, Dong Li, Qin Tian, Linlin Yu
2026AAAIMARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery.Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen, Yi He, Haifeng Chen, Chen Zhao
2026ACLRepresentation Interventions Enable Lifelong Knowledge Memory Control in LLMs.Xuyuan Liu, Shengyu Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao, Haoyu Wang, Yujun Yan, Haifeng Chen, Zhengzhang Chen
2026ACLUncertainty-Aware Test-Time Search for Optimization Problem Solving.Linlin Yu, Xujiang Zhao, Dong Li, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Chen Zhao, Feng Chen, Haifeng Chen
2026ACLMind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models.Binchi Zhang, Xujiang Zhao, Jundong Li, Haifeng Chen, Zhengzhang Chen
2026EACLDeepSieve: Information Sieving via LLM-as-a-Knowledge-Router.Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng
2026EACLDecoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation.Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen
2026EACLMulti-Agent Procedural Graph Extraction with Structural and Logical Refinement.Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2026WWWClass-Domain Incremental Learning on Graphs via Disentangled Knowledge Distillation.Qin Tian, Chen Zhao, Xintao Wu, Dong Li, Minglai Shao, Xujiang Zhao, Wenjun Wang
2025ACLUncertainty Propagation on LLM Agent.Qiwei Zhao, Dong Li, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Chen Zhao, Haifeng Chen, Xujiang Zhao
2025CIKMCorrelation-aware Online Change Point Detection.Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Jie Gao, Haifeng Chen
2025ICLRSFS: Smarter Code Space Search improves LLM Inference Scaling.Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng
2025KDD4th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM).Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Hua Wei, Haifeng Chen
2025NAACLMixLLM: Dynamic Routing in Mixed Large Language Models.Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2025NAACLPosition Really Matters: Towards a Holistic Approach for Prompt Tuning.Xianjun Yang, Wei Cheng, Xujiang Zhao, Wenchao Yu, Linda Ruth Petzold, Haifeng Chen
2025SDMEvidence-Based Out-of-Distribution Detection on Multi-Label Graphs.Ruomeng Ding, Xujiang Zhao, Chen Zhao, Minglai Shao, Zhengzhang Chen, Haifeng Chen
2024EMNLPLarge Language Models Can Be Contextual Privacy Protection Learners.Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng
2024IJCAITowards Counterfactual Fairness-aware Domain Generalization in Changing Environments.Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen
2024KDD3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM).Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Wei Hua, Haifeng Chen
2024NAACLUncertainty Quantification for In-Context Learning of Large Language Models.Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
2024NAACLPruning as a Domain-specific LLM Extractor.Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen
2023CIKMAdaptation Speed Analysis for Fairness-aware Causal Models.Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen
2023CIKMCalibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning.Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li
2023EMNLPOpen-ended Commonsense Reasoning with Unrestricted Answer Candidates.Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023ICASSPMulti-Label Temporal Evidential Neural Networks for Early Event Detection.Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jsang, Haifeng Chen, Feng Chen
2023KDD2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making.Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen
2022CIKMCalibrate Automated Graph Neural Network via Hyperparameter Uncertainty.Xueying Yang, Jiamian Wang, Xujiang Zhao, Sheng Li, Zhiqiang Tao
2022ICASSPSeed: Sound Event Early Detection Via Evidential Uncertainty.Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
2022ICDMHow Out-of-Distribution Data Hurts Semi-Supervised Learning.Xujiang Zhao, KrishnaTeja Killamsetty, Rishabh K. Iyer, Feng Chen
2022PAKDDLayer Adaptive Deep Neural Networks for Out-of-Distribution Detection.Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen
2021AAAIMultidimensional Uncertainty-Aware Evidential Neural Networks.Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen
2021EMNLPBoosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation.Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi
2021WWWCLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining.Zhuoyi Wang, Yuqiao Chen, Chen Zhao, Yu Lin, Xujiang Zhao, Hemeng Tao, Yigong Wang, Latifur Khan
2019FUSIONUncertainty-based Decision Making Using Deep Reinforcement Learning.Xujiang Zhao, Shu Hu, Jin-Hee Cho, Feng Chen
2018ICDMDeep Learning Based Scalable Inference of Uncertain Opinions.Xujiang Zhao, Feng Chen, Jin-Hee Cho