Zhixuan Chu - RankMe

97 papers A* 17A 10B 2Misc 1Journal 63Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Causal Perspective for Enhancing Jailbreak Attack and Defense. CoRR Licheng Pan, Yunsheng Lu, Jiexi Liu, Jialing Tao, Haozhe Feng, Hui Xue, Zhixuan Chu, Kui Ren
2026	J	`jnl`	CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks. CoRR Hao Wang, Licheng Pan, Zhichao Chen, Chunyuan Zheng, Zhixuan Chu, Xiaoxi Li, Yuan Lu, Xinggao Liu, Haoxuan Li, Zhouchen Lin
2026	J	`jnl`	Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects. CoRR Hao Wang, Licheng Pan, Qingsong Wen, Jialin Yu, Zhichao Chen, Chunyuan Zheng, Xiaoxi Li, Zhixuan Chu, Chao Xu, Mingming Gong, Haoxuan Li, Yuan Lu, Zhouchen Lin, Philip Torr, Yan Liu
2026	J	`jnl`	Deep Time-series Forecasting Needs Kernelized Moment Balancing. CoRR Licheng Pan, Hao Wang, Haocheng Yang, Yuqi Li, Qingsong Wen, Xiaoxi Li, Zhichao Chen, Haoxuan Li, Zhixuan Chu, Yuan Lu
2026	J	`jnl`	Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets. CoRR Yuchen Yang, Wenze Lin, Enhao Huang, Zhixuan Chu, Hongbin Zhou, Lan Tao, Yiming Li, Zhan Qin, Kui Ren
2026	J	`jnl`	JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization. CoRR Haolun Zheng, Yu He, Tailun Chen, Shuo Shao, Zhixuan Chu, Hongbin Zhou, Lan Tao, Zhan Qin, Kui Ren
2026	J	`jnl`	Lowest Span Confidence: A Zero-Shot Metric for Efficient and Black-Box Hallucination Detection in LLMs. CoRR Yitong Qiao, Licheng Pan, Yu Mi, Lei Liu, Yue Shen, Fei Sun, Zhixuan Chu
2026	J	`jnl`	Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics. CoRR Ziwen Xu, Chenyan Wu, Hengyu Sun, Haiwen Hong, Mengru Wang, Yunzhi Yao, Longtao Huang, Hui Xue, Shumin Deng, Zhixuan Chu, Huajun Chen, Ningyu Zhang
2025	J	`jnl`	DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment. CoRR Hao Wang, Licheng Pan, Yuan Lu, Zhixuan Chu, Xiaoxi Li, Shuting He, Zhichao Chen, Haoxuan Li, Qingsong Wen, Zhouchen Lin
2025	B	`conf`	Entity-Aware Pretraining of Large Language Models for Recommendation Systems. IEEE Big Data Zhixuan Chu, Yifan Zhu
2025	J	`jnl`	MIRAGE: Misleading Retrieval-Augmented Generation via Black-box and Query-agnostic Poisoning Attacks. CoRR Tailun Chen, Yu He, Yan Wang, Shuo Shao, Haolun Zheng, Zhihao Liu, Jinfeng Li, Yuefeng Chen, Zhixuan Chu, Zhan Qin
2025	A*	`conf`	Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework. AAAI Zhenjie Xu, Wenqing Chen, Yi Tang, Xuanying Li, Cheng Hu, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu
2025	J	`jnl`	Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training. CoRR Lei Liu, Hao Zhu, Yue Shen, Zhixuan Chu, Jian Wang, Jinjie Gu, Kui Ren
2025	A*	`conf`	Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models. ICLR Biao Yi, Tiansheng Huang, Sishuo Chen, Tong Li, Zheli Liu, Zhixuan Chu, Yiming Li
2025	J	`jnl`	Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models. CoRR Biao Yi, Tiansheng Huang, Sishuo Chen, Tong Li, Zheli Liu, Zhixuan Chu, Yiming Li
2025	J	`jnl`	Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models. CoRR Hao Wang, Licheng Pan, Yuan Lu, Zhichao Chen, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin
2025	J	`jnl`	SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking. CoRR Wenyuan Yang, Yichen Sun, Changzheng Chen, Zhixuan Chu, Jiaheng Zhang, Yiming Li, Dacheng Tao
2025	J	`jnl`	Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework. CoRR Jiaqi Weng, Han Zheng, Hanyu Zhang, Qinqin He, Jialing Tao, Hui Xue, Zhixuan Chu, Xiting Wang
2025	A*	`conf`	TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. ICLR Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin
2025	J	`jnl`	Toward Defending Adversarial Patch Attacks With Mask-Reconstruction-Assisted Adversarial Training. IEEE Trans. Inf. Forensics Secur. Hongshan Yang, Zhichao Li, Zhibo Wang, Peng Sun, Zhixuan Chu, Feng Lin
2025	A*	`conf`	Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary. EMNLP Licheng Pan, Yongqi Tong, Xin Zhang, Xiaolu Zhang, Jun Zhou, Zhixuan Chu
2025	J	`jnl`	Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary. CoRR Licheng Pan, Yongqi Tong, Xin Zhang, Xiaolu Zhang, Jun Zhou, Zhixuan Chu
2024	A*	`conf`	A Causal Explainable Guardrails for Large Language Models. CCS Zhixuan Chu, Yan Wang, Longfei Li, Zhibo Wang, Zhan Qin, Kui Ren
2024	J	`jnl`	A Causal Explainable Guardrails for Large Language Models. CoRR Zhixuan Chu, Yan Wang, Longfei Li, Zhibo Wang, Zhan Qin, Kui Ren
2024	J	`jnl`	A Survey of Trustworthy Representation Learning Across Domains. ACM Trans. Knowl. Discov. Data Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li
2024	J	`jnl`	A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions. CoRR Lei Liu, Xiaoyan Yang, Junchi Lei, Xiaoyang Liu, Yue Shen, Zhiqiang Zhang, Peng Wei, Jinjie Gu, Zhixuan Chu, Zhan Qin, Kui Ren
2024	J	`jnl`	Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions. CoRR Guangya Wan, Yuqi Wu, Mengxuan Hu, Zhixuan Chu, Sheng Li
2024	A	`conf`	Causal Interventional Prediction System for Robust and Explainable Effect Forecasting. CIKM Zhixuan Chu, Hui Ding, Guang Zeng, Shiyu Wang, Yiming Li
2024	J	`jnl`	Causal Interventional Prediction System for Robust and Explainable Effect Forecasting. CoRR Zhixuan Chu, Hui Ding, Guang Zeng, Shiyu Wang, Yiming Li
2024	J	`jnl`	DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models. CoRR Fan Zhou, Siqiao Xue, Danrui Qi, Wenhui Shi, Wang Zhao, Ganglin Wei, Hongyang Zhang, Caigai Jiang, Gangwei Jiang, Zhixuan Chu, Faqiang Chen
2024	J	`jnl`	DTRNet: Precisely Correcting Selection Bias in Individual-Level Continuous Treatment Effect Estimation by Reweighted Disentangled Representation. Trans. Mach. Learn. Res. Mengxuan Hu, Zhixuan Chu, Sheng Li
2024	A*	`conf`	EasyTPP: Towards Open Benchmarking Temporal Point Processes. ICLR 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
2024	Misc	`conf`	Enhancing Event Sequence Modeling with Contrastive Relational Inference. ICASSP 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
2024	J	`jnl`	Explainable Behavior Cloning: Teaching Large Language Model Agents through Learning by Demonstration. CoRR Yanchu Guan, Dong Wang, Yan Wang, Haiqing Wang, Renen Sun, Chenyi Zhuang, Jinjie Gu, Zhixuan Chu
2024	J	`jnl`	FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering. CoRR Siqiao Xue, Tingting Chen, Fan Zhou, Qingyang Dai, Zhixuan Chu, Hongyuan Mei
2024	J	`jnl`	GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention. CoRR Fangyu Ding, Haiyang Wang, Zhixuan Chu, Tianming Li, Zhaoping Hu, Junchi Yan
2024	J	`jnl`	Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models. CoRR Ma Teng, Xiaojun Jia, Ranjie Duan, Xinfeng Li, Yihao Huang, Zhixuan Chu, Yang Liu, Wenqi Ren
2024	A*	`conf`	Intelligent Agents with LLM-based Process Automation. KDD Yanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang, Feiyue Ni, Ruihua Song, Chenyi Zhuang
2024	A*	`conf`	Invariant Graph Learning for Causal Effect Estimation. WWW Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang
2024	J	`jnl`	JailbreakLens: Interpreting Jailbreak Mechanism in the Lens of Representation and Circuit. CoRR Zeqing He, Zhibo Wang, Zhixuan Chu, Huiyu Xu, Rui Zheng, Kui Ren, Chun Chen
2024	J	`jnl`	LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation. CoRR Zhixuan Chu, Yan Wang, Qing Cui, Longfei Li, Wenqing Chen, Sheng Li, Zhan Qin, Kui Ren
2024	A*	`conf`	LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. AAAI 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
2024	J	`jnl`	Mitigating Social Bias in Large Language Models: A Multi-Objective Approach within a Multi-Agent Framework. CoRR Zhenjie Xu, Wenqing Chen, Yi Tang, Xuanying Li, Cheng Hu, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu
2024	A	`conf`	Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting. CIKM Shiyu Wang, Zhixuan Chu, Yinbo Sun, Yu Liu, Yuliang Guo, Yang Chen, Huiyang Jian, Lintao Ma, Xingyu Lu, Jun Zhou
2024	J	`jnl`	Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting. CoRR Shiyu Wang, Zhixuan Chu, Yinbo Sun, Yu Liu, Yuliang Guo, Yang Chen, Huiyang Jian, Lintao Ma, Xingyu Lu, Jun Zhou
2024	J	`jnl`	Professional Agents - Evolving Large Language Models into Autonomous Experts with Human-Level Competencies. CoRR Zhixuan Chu, Yan Wang, Feng Zhu, Lu Yu, Longfei Li, Jinjie Gu
2024	J	`jnl`	Prompt-Consistency Image Generation (PCIG): A Unified Framework Integrating LLMs, Knowledge Graphs, and Controllable Diffusion Models. CoRR Yichen Sun, Zhixuan Chu, Zhan Qin, Kui Ren
2024	—	`conf`	Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models. ACL (Findings) Wenqing Chen, Weicheng Wang, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu
2024	J	`jnl`	Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models. CoRR Zhixuan Chu, Lei Zhang, Yichen Sun, Siqiao Xue, Zhibo Wang, Zhan Qin, Kui Ren
2024	A*	`conf`	Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. AAAI Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li
2024	A*	`conf`	Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR 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
2024	J	`jnl`	TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. CoRR Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin
2024	J	`jnl`	Towards Real World Debiasing: A Fine-grained Analysis On Spurious Correlation. CoRR Zhibo Wang, Peng Kuang, Zhixuan Chu, Jingyi Wang, Kui Ren
2024	A	`conf`	VMFTransformer: An Angle-Preserving and Auto-Scaling Machine for Multi-Horizon Probabilistic Forecasting. ECAI Yunyi Zhou, Ruohan Gao, Xinping Zheng, Yuchen Huang, Zhixuan Chu
2023	J	`jnl`	Causal Effect Estimation: Recent Advances, Challenges, and Opportunities. CoRR Zhixuan Chu, Jianmin Huang, Ruopeng Li, Wei Chu, Sheng Li
2023	A*	`conf`	Continual Causal Inference with Incremental Observational Data. ICDE Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li
2023	J	`jnl`	Continual Causal Inference with Incremental Observational Data. CoRR Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li
2023	A	`conf`	Continual Learning in Predictive Autoscaling. CIKM Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Y. Zhang, Wei Jiang, Siqiao Xue, Jun Zhou
2023	J	`jnl`	Continual Learning in Predictive Autoscaling. CoRR Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue, Jun Zhou
2023	—	`conf`	Continual Treatment Effect Estimation: Challenges and Opportunities. AAAI Bridge Program Zhixuan Chu, Sheng Li
2023	J	`jnl`	Continual Treatment Effect Estimation: Challenges and Opportunities. CoRR Zhixuan Chu, Sheng Li
2023	J	`jnl`	Data-Centric Financial Large Language Models. CoRR Zhixuan Chu, Huaiyu Guo, Xinyuan Zhou, Yijia Wang, Fei Yu, Hong Chen, Wanqing Xu, Xin Lu, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
2023	J	`jnl`	EasyTPP: Towards Open Benchmarking the Temporal Point Processes. CoRR Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Fan Zhou, Hongyan Hao, Caigao Jiang, Chen Pan, Yi Xu, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei
2023	—	`conf`	Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. ICDM (Workshops) 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
2023	J	`jnl`	Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. CoRR 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
2023	J	`jnl`	Enhancing Recommender Systems with Large Language Model Reasoning Graphs. CoRR Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Y. Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
2023	A	`conf`	Estimating Propensity Scores with Deep Adaptive Variable Selection. SDM Zhixuan Chu, Mechelle Claridy, José Cordero, Sheng Li, Stephen L. Rathbun
2023	A*	`conf`	Fair Attribute Completion on Graph with Missing Attributes. ICLR Dongliang Guo, Zhixuan Chu, Sheng Li
2023	J	`jnl`	Fair Attribute Completion on Graph with Missing Attributes. CoRR Dongliang Guo, Zhixuan Chu, Sheng Li
2023	J	`jnl`	Intelligent Virtual Assistants with LLM-based Process Automation. CoRR Yanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang, Feiyue Ni, Ruihua Song, Longfei Li, Jinjie Gu, Chenyi Zhuang
2023	J	`jnl`	Leveraging Large Language Models for Pre-trained Recommender Systems. CoRR Zhixuan Chu, Hongyan Hao, Xin Ouyang, Simeng Wang, Yan Wang, Yue Shen, Jinjie Gu, Qing Cui, Longfei Li, Siqiao Xue, James Y. Zhang, Sheng Li
2023	A	`conf`	Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data. CIKM Zhichao Chen, Leilei Ding, Zhixuan Chu, Yucheng Qi, Jianmin Huang, Hao Wang
2023	J	`jnl`	Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data. CoRR Zhichao Chen, Leilei Ding, Zhixuan Chu, Yucheng Qi, Jianmin Huang, Hao Wang
2023	A*	`conf`	Prompt-augmented Temporal Point Process for Streaming Event Sequence. NeurIPS Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou
2023	J	`jnl`	Prompt-augmented Temporal Point Process for Streaming Event Sequence. CoRR Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Y. Zhang, Jun Zhou
2023	J	`jnl`	Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. CoRR Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li
2023	J	`jnl`	Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR 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
2023	J	`jnl`	Trustworthy Representation Learning Across Domains. CoRR Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li
2023	A	`conf`	Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach. CIKM Zhichao Chen, Leilei Ding, Jianmin Huang, Zhixuan Chu, Qingyang Dai, Hao Wang
2023	A*	`conf`	pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting. IJCAI Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li
2023	J	`jnl`	pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting. CoRR Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li
2022	A	`conf`	Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. CIKM Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li
2022	J	`jnl`	Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. CoRR Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li
2022	B	`conf`	Incorporating Casual Analysis into Diversified and Logical Response Generation. COLING Jiayi Liu, Wei Wei, Zhixuan Chu, Xing Gao, Ji Zhang, Tan Yan, Yulin Kang
2022	J	`jnl`	Incorporating Casual Analysis into Diversified and Logical Response Generation. CoRR Jiayi Liu, Wei Wei, Zhixuan Chu, Xing Gao, Ji Zhang, Tan Yan, Yulin Kang
2022	J	`jnl`	Knowledge-Guided Article Embedding Refinement for Session-Based News Recommendation. IEEE Trans. Neural Networks Learn. Syst. Heng-Shiou Sheu, Zhixuan Chu, Daiqing Qi, Sheng Li
2022	A	`conf`	Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. SDM Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2022	J	`jnl`	Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. CoRR Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2022	—	`conf`	Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. CHIL Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2022	J	`jnl`	Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. CoRR Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2021	J	`jnl`	A Survey on Causal Inference. ACM Trans. Knowl. Discov. Data Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang
2021	A*	`conf`	Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. KDD Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2021	J	`jnl`	Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. CoRR Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2020	J	`jnl`	A Survey on Causal Inference. CoRR Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang
2020	A*	`conf`	Causal Inference Meets Machine Learning. KDD Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao
2020	A	`conf`	Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. CIKM Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2020	J	`jnl`	Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. CoRR Zhixuan Chu, Stephen L. Rathbun, Sheng Li