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Zhixuan Chu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

36

Venues

17

Active years

2020–2026

Best venue rank

A*

Where they publish

Papers

36 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLPerplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training.Lei Liu, Hao Zhu, Xiaoyan Yang, Yue Shen, Zhixuan Chu, Jian Wang, Jinjie Gu, Kui Ren
2026ACLSafe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework.Jiaqi Weng, Han Zheng, Hanyu Zhang, Ej Zhou, Qinqin He, Jialing Tao, Hui Xue, Zhixuan Chu, Xiting Wang
2026ACLWhy Steering Works: Toward a Unified View of Language Model Parameter Dynamics.Ziwen Xu, Chenyan Wu, Hengyu Sun, Haiwen Hong, Mengru Wang, Yunzhi Yao, Longtao Huang, Hui Xue, Shumin Deng, Zhixuan Chu, Huajun Chen, Ningyu Zhang
2026NDSSA Causal Perspective for Enhancing Jailbreak Attack and Defense.Licheng Pan, Yunsheng Lu, Jiexi Liu, Jialing Tao, Haozhe Feng, Hui Xue, Zhixuan Chu, Kui Ren
2025AAAIMitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework.Zhenjie Xu, Wenqing Chen, Yi Tang, Xuanying Li, Cheng Hu, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu
2025EMNLPUnderstanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary.Licheng Pan, Yongqi Tong, Xin Zhang, Xiaolu Zhang, Jun Zhou, Zhixuan Chu
2025ICCVHeuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models.Teng Ma, Xiaojun Jia, Ranjie Duan, Xinfeng Li, Yihao Huang, Xiaoshuang Jia, Zhixuan Chu, Wenqi Ren
2025ICLRTimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis.Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin
2025ICLRProbe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models.Biao Yi, Tiansheng Huang, Sishuo Chen, Tong Li, Zheli Liu, Zhixuan Chu, Yiming Li
2024AAAITask-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction.Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li
2024AAAILLMRG: Improving Recommendations through Large Language Model Reasoning Graphs.Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
2024ACLSelf-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models.Wenqing Chen, Weicheng Wang, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu
2024CCSA Causal Explainable Guardrails for Large Language Models.Zhixuan Chu, Yan Wang, Longfei Li, Zhibo Wang, Zhan Qin, Kui Ren
2024CIKMMultiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting.Shiyu Wang, Zhixuan Chu, Yinbo Sun, Yu Liu, Yuliang Guo, Yang Chen, Huiyang Jian, Lintao Ma, Xingyu Lu, Jun Zhou
2024CIKMCausal Interventional Prediction System for Robust and Explainable Effect Forecasting.Zhixuan Chu, Hui Ding, Guang Zeng, Shiyu Wang, Yiming Li
2024ECAIVMFTransformer: An Angle-Preserving and Auto-Scaling Machine for Multi-Horizon Probabilistic Forecasting.Yunyi Zhou, Ruohan Gao, Xinping Zheng, Yuchen Huang, Zhixuan Chu
2024ICASSPEnhancing Event Sequence Modeling with Contrastive Relational Inference.Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou
2024ICLRTime-LLM: Time Series Forecasting by Reprogramming Large Language Models.Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen
2024ICLREasyTPP: Towards Open Benchmarking Temporal Point Processes.Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei
2024KDDIntelligent Agents with LLM-based Process Automation.Yanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang, Feiyue Ni, Ruihua Song, Chenyi Zhuang
2024WWWInvariant Graph Learning for Causal Effect Estimation.Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang
2023AAAIContinual Treatment Effect Estimation: Challenges and Opportunities.Zhixuan Chu, Sheng Li
2023CIKMMonotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data.Zhichao Chen, Leilei Ding, Zhixuan Chu, Yucheng Qi, Jianmin Huang, Hao Wang
2023CIKMUnsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach.Zhichao Chen, Leilei Ding, Jianmin Huang, Zhixuan Chu, Qingyang Dai, Hao Wang
2023CIKMContinual Learning in Predictive Autoscaling.Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Y. Zhang, Wei Jiang, Siqiao Xue, Jun Zhou
2023ICDEContinual Causal Inference with Incremental Observational Data.Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li
2023ICDMEnhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference.Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou
2023ICLRFair Attribute Completion on Graph with Missing Attributes.Dongliang Guo, Zhixuan Chu, Sheng Li
2023IJCAIpTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting.Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li
2023SDMEstimating Propensity Scores with Deep Adaptive Variable Selection.Zhixuan Chu, Mechelle Claridy, Jos Cordero, Sheng Li, Stephen L. Rathbun
2022CIKMHierarchical Capsule Prediction Network for Marketing Campaigns Effect.Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li
2022COLINGIncorporating Casual Analysis into Diversified and Logical Response Generation.Jiayi Liu, Wei Wei, Zhixuan Chu, Xing Gao, Ji Zhang, Tan Yan, Yulin Kang
2022SDMLearning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data.Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2021KDDGraph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data.Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2020CIKMMatching in Selective and Balanced Representation Space for Treatment Effects Estimation.Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2020KDDCausal Inference Meets Machine Learning.Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao