Chu, Zhixuan

16 publications

ICLR 2026 DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment Eric Wang, Licheng Pan, Yuan Lu, Zhixuan Chu, Xiaoxi Li, Shuting He, Zi Ciu Chan, Qingsong Wen, Haoxuan Li, Zhouchen Lin

ICLR 2026 Explainable Token-Level Noise Filtering for LLM Fine-Tuning Datasets Yuchen Yang, Wenze Lin, Enhao Huang, Zhixuan Chu, Hongbin Zhou, Lan Tao, Yiming Li, Zhan Qin, Kui Ren

ICLR 2026 Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models Eric Wang, Licheng Pan, Yuan Lu, Zi Ciu Chan, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin

ICCV 2025 Heuristic-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

AAAI 2025 Mitigating 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

ICLR 2025 Probe 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

ICLR 2025 TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Ju Shengtong, Zhixuan Chu, Ming Jin

TMLR 2024 DTRNet: Precisely Correcting Selection Bias in Individual-Level Continuous Treatment Effect Estimation by Reweighted Disentangled Representation Mengxuan Hu, Zhixuan Chu, Sheng Li

ICLR 2024 EasyTPP: 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

AAAI 2024 LLMRG: 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

AAAI 2024 Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li

ICLR 2024 Time-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

ICLR 2023 Fair Attribute Completion on Graph with Missing Attributes Dongliang Guo, Zhixuan Chu, Sheng Li

NeurIPS 2023 Prompt-Augmented Temporal Point Process for Streaming Event Sequence Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou

IJCAI 2023 pTSE: A Multi-Model Ensemble Method for Probabilistic Time Series Forecasting Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li

CHIL 2022 Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials Zhixuan Chu, Stephen L Rathbun, Sheng Li