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2026 顶会论文

作者位次 #6/7ICML 2026Poster· Social Aspects / Fairness

Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants

Zeyu Tang · Alex John London · Atoosa Kasirzadeh · Sarah de Ramirez · Peter Spirtes · Kun Zhang · Sanmi Koyejo

社会与人本OpenReview

作者位次 #8/8ICML 2026Poster· General Machine Learning / Causality

Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis

Minghao Fu · Biwei Huang · Zijian Li · Yujia Zheng · Ignavier Ng · Guangyi Chen · Yingyao Hu · Kun Zhang

OpenReview

作者位次 #2/3ICML 2026Poster· General Machine Learning / Causality

TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning

Shicheng Fan · Kun Zhang · Lu Cheng

可解释性OpenReview

作者位次 #6/6ICML 2026Poster· Deep Learning / Large Language Models

ParamMem: Augmenting Language Agents with Parametric Reflective Memory

Tianjun Yao · Yongqiang Chen · Yujia Zheng · Pan Li · Zhiqiang Shen · Kun Zhang

智能体与工具检索与知识OpenReview

作者位次 #7/8ICML 2026Spotlight· General Machine Learning / Causality

Treatment Responder Classification with Abstention

Haoxiang Wang · Haoxuan Li · Ziyan Wang · Zhiheng Zhang · Aoqi Zuo · Erdun Gao · Kun Zhang · Mingming Gong

OpenReview

作者位次 #5/5ICML 2026Poster· General Machine Learning / Causality

Identifying Partially Observed Causal Models from Heterogeneous/Nonstationary Data

Xinshuai Dong · Haoyue Dai · Ignavier Ng · Peter Spirtes · Kun Zhang

OpenReview

作者位次 #4/4ICML 2026Spotlight· General Machine Learning / Causality

Causal Modeling of Selection in Evolution

Haoyue Dai · Zeyu Tang · Peter Spirtes · Kun Zhang

OpenReview

作者位次 #6/6ICML 2026Poster

From Generalist to Specialist Representation

Yujia Zheng · Fan Feng · Yuke Li · Shaoan Xie · Kevin Murphy · Kun Zhang

可解释性OpenReview

作者位次 #3/4ICML 2026Poster· General Machine Learning / Representation Learning

Physics from Video: Identifiability of Time-Invariant Second-Order ODEs under Minimal Trajectory Conditions

Yuanyuan Wang · Wenjie Wang · Kun Zhang · Mingming Gong

可解释性多模态OpenReview

作者位次 #10/12ICML 2026Poster· Deep Learning / Large Language Models

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning

Lingjing Kong · Xin Liu · Guangyi Chen · Martin Q. Ma · Xiangchen Song · Yuekai Sun · Mikhail Yurochkin · Taylor W. Killian · Russ Salakhutdinov · Kun Zhang · Eric Xing · Zhengzhong Liu

推理理论与学习动力学长上下文与架构OpenReview

作者位次 #6/7ICML 2026Poster· Social Aspects / Safety

Concept Concentration for Faithful Representation Intervention

Hongzheng Yang · Yongqiang Chen · Zeyu Qin · Tongliang Liu · Chaowei Xiao · Kun Zhang · Bo Han

安全可解释性社会与人本OpenReview

作者位次 #8/8ICML 2026Poster

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling

Fan Feng · Yujia Zheng · Minghao Fu · Yongqiang Chen · Guangyi Chen · Kevin Murphy · Biwei Huang · Kun Zhang

智能体与工具OpenReview

作者位次 #10/10ICML 2026Oral

CausalGame: Benchmarking Causal Thinking of LLM Agents in Games

Zhenhao Chen · Yongqiang Chen · Chenxi Liu · Junchi Yu · Xiangchen Song · Zijian Li · Jialin Li · Phil Torr · Bo Han · Kun Zhang

智能体与工具评测与基准OpenReview

作者位次 #6/6ICML 2026Spotlight· General Machine Learning / Causality

Local Covariate Selection for Average Causal Effect Estimation without Pretreatment and Causal Sufficiency Assumptions

Zeyu Liu · Zheng Li · Feng Xie · Yan Zeng · Hao Zhang · Kun Zhang

OpenReview

作者位次 #7/7AAAI 2026Poster· Artificial Intelligence

Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants

Wei Chen · Wanyang Gu · Linjun Peng · Ting Yan · Ruichu Cai · Zhifeng Hao · Kun Zhang

OpenReview

作者位次 #3/4AAAI 2026Poster· Artificial Intelligence

Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond

Kaifeng Jin · Ignavier Ng · Kun Zhang · Biwei Huang

OpenReview

Kun Zhang

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2026 顶会论文

Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants

Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis

TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning

ParamMem: Augmenting Language Agents with Parametric Reflective Memory

Treatment Responder Classification with Abstention

Identifying Partially Observed Causal Models from Heterogeneous/Nonstationary Data

Causal Modeling of Selection in Evolution

From Generalist to Specialist Representation

Physics from Video: Identifiability of Time-Invariant Second-Order ODEs under Minimal Trajectory Conditions

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning

Concept Concentration for Faithful Representation Intervention

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling

CausalGame: Benchmarking Causal Thinking of LLM Agents in Games

Local Covariate Selection for Average Causal Effect Estimation without Pretreatment and Causal Sufficiency Assumptions

Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants

Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond

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