Biwei Huang

28 papers at tracked venues · 27 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

NeurIPS ×10 ICLR ×9 ICML ×4 AAAI ×2 ACL ×2 IJCAI ×1

Frequent coauthors

Kun Zhang

×17

Ignavier Ng

×8

Mingming Gong

×7

Xinshuai Dong

×5

Kun Zhou

×4

Songyao Jin

×4

Peter Spirtes

×4

Guangyi Chen

×4

Roberto Legaspi

×3

Yuewen Sun

×3

Qi Liu

×2

Wenyi Wu

×2

Papers

C-World: A Computer Use Agent Environment Creator
ACL 2026 ·
Ziqiao Xi
,
Shuang Liang
,
Qi Liu
,
Jiaqing Zhang
,
Letian Peng
,
Fang Nan
,
Meshal Nayim
,
Tianhui Zhang
,
Rishika Mundada
,
Lianhui Qin
, Biwei Huang,
Kun Zhou
Hybrid Self-evolving Structured Memory for Computer-Use Agents
ACL 2026 ·
Sibo Zhu
,
Wenyi Wu
,
Kun Zhou
,
Stephen Wang
, Biwei Huang
Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond
AAAI 2026 ·
Kaifeng Jin
,
Ignavier Ng
,
Kun Zhang
, Biwei Huang
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
ICLR 2025 ·
Yingyu Lin
,
Yuxing Huang
,
Wenqin Liu
,
Haoran Deng
,
Ignavier Ng
,
Kun Zhang
,
Mingming Gong
,
Yian Ma
, Biwei Huang
Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models
NeurIPS 2025 ·
Zekai Zhao
,
Qi Liu
,
Kun Zhou
,
Zihan Liu
,
Yifei Shao
,
Zhiting Hu
, Biwei Huang
Analytic DAG Constraints for Differentiable DAG Learning
ICLR 2025 ·
Zhen Zhang
,
Ignavier Ng
,
Dong Gong
,
Yuhang Liu
,
Mingming Gong
, Biwei Huang,
Kun Zhang
,
Anton van den Hengel
,
Javen Qinfeng Shi
Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems
NeurIPS 2025 ·
Hao Liang
,
Shuqing Shi
,
Yudi Zhang
, Biwei Huang,
Yali Du
Differentiable Causal Discovery for Latent Hierarchical Causal Models
ICLR 2025 ·
Parjanya Prajakta Prashant
,
Ignavier Ng
,
Kun Zhang
, Biwei Huang
MissScore: High-Order Score Estimation in the Presence of Missing Data
ICML 2025 ·
Wenqin Liu
,
Haoze Hou
,
Erdun Gao
, Biwei Huang,
Qiuhong Ke
,
Howard D. Bondell
,
Mingming Gong
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
ICLR 2025 ·
Xinyue Wang
, Biwei Huang
Practical Kernel Selection for Kernel-based Conditional Independence Test
NeurIPS 2025 ·
Wenjie Wang
,
Mingming Gong
, Biwei Huang,
James Bailey
,
Bo Han
,
Kun Zhang
,
Feng Liu
Towards General Continuous Memory for Vision-Language Models
NeurIPS 2025 ·
Wenyi Wu
,
Zixuan Song
,
Kun Zhou
,
Yifei Shao
,
Zhiting Hu
, Biwei Huang
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
ICLR 2025 ·
Yupei Yang
, Biwei Huang,
Fan Feng
,
Xinyue Wang
,
Shikui Tu
,
Lei Xu
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
ICLR 2024 ·
Xinshuai Dong
, Biwei Huang,
Ignavier Ng
,
Xiangchen Song
,
Yujia Zheng
,
Songyao Jin
,
Roberto Legaspi
,
Peter Spirtes
,
Kun Zhang
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation
AAAI 2024 ·
Yuewen Sun
,
Erli Wang
, Biwei Huang,
Chaochao Lu
,
Lu Feng
,
Changyin Sun
,
Kun Zhang
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series
ICML 2024 ·
Qiang Huang
,
Chuizheng Meng
,
Defu Cao
, Biwei Huang,
Yi Chang
,
Yan Liu
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge
IJCAI 2024 ·
Yupei Yang
, Biwei Huang,
Shikui Tu
,
Lei Xu
Federated Causal Discovery from Heterogeneous Data
ICLR 2024 ·
Loka Li
,
Ignavier Ng
,
Gongxu Luo
, Biwei Huang,
Guangyi Chen
,
Tongliang Liu
,
Bin Gu
,
Kun Zhang
Identifiability Analysis of Linear ODE Systems with Hidden Confounders
NeurIPS 2024 ·
Yuanyuan Wang
, Biwei Huang,
Wei Huang
,
Xi Geng
,
Mingming Gong
Identifiable Latent Polynomial Causal Models through the Lens of Change
ICLR 2024 ·
Yuhang Liu
,
Zhen Zhang
,
Dong Gong
,
Mingming Gong
, Biwei Huang,
Anton van den Hengel
,
Kun Zhang
,
Javen Qinfeng Shi
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning
NeurIPS 2024 ·
Yuewen Sun
, Biwei Huang,
Yu Yao
,
Donghuo Zeng
,
Xinshuai Dong
,
Songyao Jin
,
Boyang Sun
,
Roberto Legaspi
,
Kazushi Ikeda
,
Peter Spirtes
,
Kun Zhang
Learning Discrete Concepts in Latent Hierarchical Models
NeurIPS 2024 ·
Lingjing Kong
,
Guangyi Chen
, Biwei Huang,
Eric P. Xing
,
Yuejie Chi
,
Kun Zhang
Natural Counterfactuals With Necessary Backtracking
NeurIPS 2024 ·
Guang-Yuan Hao
,
Jiji Zhang
, Biwei Huang,
Hao Wang
,
Kun Zhang
On Causal Discovery in the Presence of Deterministic Relations
NeurIPS 2024 ·
Loka Li
,
Haoyue Dai
,
Hanin Al Ghothani
, Biwei Huang,
Jiji Zhang
,
Shahar Harel
,
Isaac Bentwich
,
Guangyi Chen
,
Kun Zhang
On the Parameter Identifiability of Partially Observed Linear Causal Models
NeurIPS 2024 ·
Xinshuai Dong
,
Ignavier Ng
, Biwei Huang,
Yuewen Sun
,
Songyao Jin
,
Roberto Legaspi
,
Peter Spirtes
,
Kun Zhang
Optimal Kernel Choice for Score Function-based Causal Discovery
ICML 2024 ·
Wenjie Wang
, Biwei Huang,
Feng Liu
,
Xinge You
,
Tongliang Liu
,
Kun Zhang
,
Mingming Gong
Score-Based Causal Discovery of Latent Variable Causal Models
ICML 2024 ·
Ignavier Ng
,
Xinshuai Dong
,
Haoyue Dai
, Biwei Huang,
Peter Spirtes
,
Kun Zhang
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
ICLR 2024 ·
Songyao Jin
,
Feng Xie
,
Guangyi Chen
, Biwei Huang,
Zhengming Chen
,
Xinshuai Dong
,
Kun Zhang