黄文炳-教师系统

教育经历

2012.09 – 2017.07 清华大学计算机科学与技术博士，指导导师：孙富春教授

2016.03 – 2017.03 澳大利亚国立大学联合培养博士，联合指导导师：Mehrtash Harandi

2008.09 – 2012.07 北京航空航天大学数学与应用数学学士

工作经历

2023.07 – 至今中国人民大学高瓴人工智能学院预聘副教授

2022.09 – 2023.07 中国人民大学高瓴人工智能学院预聘助理教授

2019.10 – 2022.09 清华大学计算机系博士后、清华大学智能产业院助理研究员

2017.07 – 2019.09 腾讯公司人工智能实验室高级研究员

研究方向

"There is no royal road to geometry. " --- Euclid

Geometric Learning And Discovery (GLAD) 课题组的研究方向包括但不限于：

1. 几何深度学习基础理论方法：将图像、视频、时空序列、社交网络、科学数据等建模成具有特定对称性结构的几何对象，例如集合、流形、图等，并建立相应机器学习模型对其进行表示和处理。特别在图数据处理和图神经网络GNN设计方面有深入研究，包括图神经网络的表达性、不变与等变性、高效训练、自监督学习、对抗攻击等。

2. 几何深度学习在智能体感知与决策的应用：研究触觉力序列表示、视频分析、声音信号处理、基于多模态信息融合的机器人感知；基于模型的强化学习、不完美信息下的模仿学习等。

3. 科学和社会科学知识嵌入的几何深度学习：致力于将黎曼几何、代数群论、量子力学、计算化学、计算生物、金融工程等学科的知识嵌入到机器学习模型，并将其应用到多体问题、分子动力学模拟、药物分子性质预测、蛋白质对接、抗体设计、晶体设计、金融决策等科学问题中。

这里附上集智平台对课题组研究工作的总结：

1. 报告链接：https://pattern.swarma.org/study_group_issue/485

2. 术语和资源汇总：https://pattern.swarma.org/study_group_issue/485/resource

3. 内容整理：https://pattern.swarma.org/article/243

学生要求

数学基础好、编程能力突出者优先考虑；非常欢迎具有交叉学科背景（物理、计算化学、计算生物、金融工程、计量经济学等）的学生。

（1）博士生

2021级：矫瑞（清华刘洋老师共同指导）

2022级：孔祥哲（清华刘洋老师共同指导）

2023级：吴黎明，岑嘉诚，李宗钊，程思婕（清华刘洋老师共同指导）

2024级：张岳霖，李安亿，李晨，赵振刚，虞子扬（清华刘洋老师共同指导）

2025级：樊柯鸣，钱兴宇，孙率航，田鹏举（智源联培）

（2）硕士生

2023级：黄贸之

2024级：李明泽，李松佑，林宁（孙浩老师共同指导）

（3）访问或联合培养学生

薛方磊（浙大杨易老师，华盛顿David Baker老师）

（4）已离组学生

韩家琦（2019-2022，现为斯坦福大学博士生 https://hanjq17.github.io/）

陈润发（2019-2024，现为军事科学院研究员 https://scholar.google.com/citations?user=WaeyhikAAAAJ&hl=en）

韩荣（2023-2024 https://scholar.google.com/citations?user=siJxWj0AAAAJ&hl=en）

教授课程

本科生课程《数字信号处理》秋季学期

本科生课程《计算机视觉导论》春季学期

研究生课程《几何深度学习》秋季学期

科研项目

2023-2025，面向药物发现的图数据大模型技术研究及示范应用，北京市中央引导地方专项，子课题负责人

2023-2026，面向物理空间的通用几何深度学习理论与方法，北京市科技新星计划，项目负责人

2024-2027，离散物理系统的通用几何图学习理论方法，国家自然科学基金面上项目，项目负责人

2020-2024，表征学习基础理论及手部多模态生物特征识别系统验证，科技部科技创新2030 --“新一代人工智能”重大项目，合作单位负责人

2021-2023，图神经网络的可学习理论与方法，国家自然科学基金青年项目，项目负责人

2019-2021，智能体模仿学习的图结构化理论方法，中国博士后科学基金面上资助，项目负责人

长期承担腾讯、华为、阿里等科技公司的科研合作项目。

学术论文

2025

Peptide Design through Binding Interface Mimicry

Xiangzhe Kong, Rui Jiao, Haowei Lin,, Ruihan Guo, Wenbing Huang, Wei-Ying Ma, Zihua Wang, Yang Liu, and Jianzhu Ma

Nature Biomedical Engineering

Powder diffraction crystal structure determination using generative models

Qi Li, Rui Jiao, Liming Wu, Tiannian Zhu, Wenbing Huang, Shifeng Jin, Yang Liu, Hongming Weng, Xiaolong Chen

Nature Communications

链接：链接

Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints

Dapeng Jiang, Xiangzhe Kong, Jiaqi Han, Mingyu Li, Rui Jiao, Wenbing Huang, Stefano Ermon, Jianzhu Ma, Yang Liu

International Conference on Machine Learning (ICML)

链接：链接

UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules

Ziyang Yu , Wenbing Huang, Yang Liu

International Conference on Machine Learning (ICML)

链接：链接

UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design

Xiangzhe Kong, Zishen Zhang, Ziting Zhang, Rui Jiao, Jianzhu Ma, Wenbing Huang, Kai Liu, Yang Liu

International Conference on Machine Learning (ICML)

链接：链接

Large Language-Geometry Model: When LLM meets Equivariance

Zongzhao Li, Jiacheng Cen, Bing Su, Tingyang Xu, Yu Rong, Deli Zhao, Wenbing Huang

International Conference on Machine Learning (ICML)

链接：链接

SE(3)-Equivariant Ternary Complex Prediction Towards Target Protein Degradation

Fanglei Xue, Meihan Zhang, Shuqi Li, Xinyu Gao, James A. Wohlschlegel, Wenbing Huang, Yi Yang, Weixian Deng

Nature Communications

链接：链接

Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries

Zongzhao Li , Jiacheng Cen, Wenbing Huang, Taifeng Wang, Le Song

The International Conference on Learning Representations (ICLR)

链接：链接

Think Then React: Towards Unconstrained Action-to-Reaction Motion Generation

Wenhui Tan, Boyuan Li, Chuhao Jin, Wenbing Huang, Xiting Wang, Ruihua Song

The International Conference on Learning Representations (ICLR)

链接：链接

DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training

Yurou Liu, Jiahao Chen, Rui Jiao, Jiangmeng Li, Wenbing Huang, Bing Su

International Conference on Learning Representations (ICLR)

链接：链接

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications

Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Deli Zhao, Yang Liu, Yu Rong, Wenbing Huang

Frontiers of Computer Science

链接：链接

2024

Robot Cognitive Learning by Considering Physical Properties

Fuchun Sun, Wenbing Huang , Yu Luo, Tianying Ji, Huaping Liu, He Liu, Jianwei Zhang

Engineering

下载：

链接：链接

Learning Superconductivity from Ordered and Disordered Material Structures

Pin Chen, Luoxuan Peng, Rui Jiao, Qing Mo, Zhen WANG, Wenbing Huang, Yang Liu, Yutong Lu

Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track

链接：链接

3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization

Rui Jiao, Xiangzhe Kong, Wenbing Huang, Yang Liu

Annual Conference on Neural Information Processing Systems (NeurIPS)

链接：链接

Full-Atom Peptide Design with Geometric Latent Diffusion

Xiangzhe Kong, Yinjun Jia, Wenbing Huang, Yang Liu

Annual Conference on Neural Information Processing Systems (NeurIPS)

链接：链接

Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?

Jiacheng Cen, Anyi Li, Ning Lin, Yuxiang Ren, Zihe Wang, Wenbing Huang

Annual Conference on Neural Information Processing Systems (NeurIPS)

链接：链接

Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning

Yuelin Zhang, Jiacheng Cen, Jiaqi Han, Zhiqiang Zhang, Jun Zhou, Wenbing Huang

International Conference on Machine Learning (ICML)

链接：链接

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning

Xiangzhe Kong, Wenbing Huang, Yang Liu

International Conference on Machine Learning (ICML)

链接：链接

Equivariant Diffusion for Crystal Structure Prediction

Peijia Lin, Pin Chen, Rui Jiao, Qing Mo, Cen Jianhuan, Wenbing Huang, Yang Liu, Dan Huang, Yutong Lu

International Conference on Machine Learning (ICML)

链接：链接

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction

Yang zhang, Zhewei Wei, Ye Yuan, Chongxuan Li, Wenbing Huang

International Conference on Machine Learning (ICML), Oral

链接：链接

Subequivariant Reinforcement Learning in 3D Multi-Object Physical Environments

Runfa Chen, Ling Wang, Yu Du, Fuchun Sun, Tianrui Xue, Jianwei Zhang, Wenbing Huang

International Conference on Machine Learning (ICML)

链接：链接

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems

Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang

The Web Conference (WWW)

链接：链接

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction

Ziyang Yu, Wenbing Huang, Yang Liu

The International Conference on Learning Representations (ICLR)

链接：链接

Space Group Constrained Crystal Generation

Rui Jiao, Wenbing Huang, Yu Liu, Deli Zhao, Yang Liu

The International Conference on Learning Representations (ICLR)

链接：链接

2023

MPerformer: An SE(3) Transformer-based Molecular Perceptron

Fanmeng Wang, Hongteng Xu, Xi Chen, Shuqi Lu, Yuqing Deng, Wenbing Huang

ACM International Conference on Information and Knowledge Management (CIKM)

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics

Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang

Annual Conference on Neural Information Processing Systems (NeurIPS)

链接：链接

Crystal Structure Prediction by Joint Equivariant Diffusion

Rui Jiao, Wenbing Huang, Peijia Lin, Jiaqi Han, Pin Chen, Yutong Lu, Yang Liu

Annual Conference on Neural Information Processing Systems (NeurIPS)

链接：链接

Structure-Aware DropEdge Towards Deep Graph Convolutional Networks

Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

链接：链接

End-to-End Full-Atom Antibody Design

Xiangzhe Kong, Wenbing Huang, Yang Liu

International Conference on Machine Learning (ICML)

链接：链接

Subequivariant Graph Reinforcement Learning in 3D Environments

Runfa Chen, Jiaqi Han, Fuchun Sun, Wenbing Huang

International Conference on Machine Learning (ICML), Oral

链接：链接

Compacting Binary Neural Networks by Sparse Kernel Selection

Yikai Wang, Wenbing Huang, Yinpeng Dong, Fuchun Sun, Anbang Yao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

链接：链接

Conditional Antibody Design as 3D Equivariant Graph Translation

Xiangzhe Kong, Wenbing Huang, Yang Liu

The International Conference on Learning Representations (ICLR) , Outstanding Paper Honorable Mention

链接：链接

Planning Assembly Sequence with Graph Transformer

Lin Ma, Jiangtao Gong, Hao Xu, Hao CHEN, Hao Zhao, Wenbing Huang, Guyue Zhou

IEEE International Conference on Robotics and Automation (ICRA)

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu

AAAI Conference on Artificial Intelligence (AAAI)

链接：链接

2022

Geometrically Equivariant Graph Neural Networks: A Survey

Jiaqi Han, Yu Rong, Tingyang Xu, Wenbing Huang

arXiv

链接：链接

Learning Physical Dynamics with Subequivariant Graph Neural Networks

Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Joshua B. Tenenbaum, Chuang Gan

Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight

下载：

链接：链接

Equivariant Graph Hierarchy-based Neural Networks

Jiaqi Han, Wenbing Huang, Tingyang Xu, Yu Rong

Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight

链接：链接

Molecule Generation by Principal Subgraph Mining and Assembling

Xiangzhe Kong, Wenbing Huang, Zhixing Tan, Yang Liu

Annual Conference on Neural Information Processing Systems (NeurIPS), Oral

链接：链接

When to Update Your Model: Constrained Model-based Reinforcement Learning

Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang

Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight

链接：链接

SNAKE: Shape-aware Neural 3D Keypoint Field

Chengliang Zhong, Peixing You, Xiaoxue Chen, Hao Zhao, Fuchun Sun, Guyue Zhou, Xiaodong Mu, Chuang Gan, Wenbing Huang

Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight

链接：链接

Benefits of Permutation-Equivariance in Auction Mechanisms

Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao

Annual Conference on Neural Information Processing Systems (NeurIPS)

链接：链接

Learning Active Camera for Multi-Object Navigation

Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, Thomas H. Li, Mingkui Tan, Chuang Gan

Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight

链接：链接

Equivariant Graph Mechanics Networks with Constraints

Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, and Junzhou Huang

The International Conference on Learning Representations (ICLR)

链接：链接

Sound Adversarial Audio-Visual Navigation

Yinfeng Yu, Wenbing Huang, Fuchun Sun, Changan Chen, Yikai Wang, and Xiaohong Liu

The International Conference on Learning Representations (ICLR)

链接：链接

Learning Representations by Graphical Mutual Information Estimation and Maximization

Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, and Junzhou Huang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

链接：链接

Bridged Transformer for Vision and Point Cloud 3D Object Detection

Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, and Dacheng Tao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

链接：链接

Multimodal Token Fusion for Vision Transformers

Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, and Yunhe Wang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

链接：链接

Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge

Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, and Wenwu Zhu

IEEE Transactions on Knowledge and Data Engineering (TKDE)

Cross-Dependent Graph Neural Networks for Molecular Property Prediction

Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, and Junzhou Huang

Bioinformatics

2021

Adversarial Option-Aware Hierarchical Imitation Learning

Mingxuan Jing, Wenbing Huang, Fuchun Sun, Xiaojian Ma, Tao Kong, Chuang Gan, and Lei Li

International Conference on Machine Learning (ICML)

链接：链接

Elastic Tactile Simulation Towards Tactile-Visual Perception

Yikai Wang, Wenbing Huang, Fuchun Sun, Bin Fang, and Chang Li

ACM International Conference on Multimedia (ACMMM)

链接：链接

Knowledge Representation Learning with Contrastive Completion Coding

Bo Ouyang, Wenbing Huang, Runfa Chen, Zhixing Tan, Yang Liu, Maosong Sun, and Jihong Zhu

The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) (Findings)

Graph Convolutional Module for Temporal Action Localization in Videos

Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

链接：链接

2020

Tackling Over-Smoothing for General Graph Convolutional Networks

Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang

arXiv

链接：链接

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Yu Rong, Wenbing Huang, Tingyang Xu, and Junzhou Huang

The International Conference on Learning Representations (ICLR)

链接：链接

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, and Junzhou Huang

Annual Conference on Neural Information Processing Systems (NeurIPS)

链接：链接

Deep Multimodal Fusion by Channel Exchanging

Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, and Junzhou Huang

Annual Conference on Neural Information Processing Systems (NeurIPS)

链接：链接

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, and Bin Fang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

链接：链接

Dense Regression Network for Video Grounding

Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, and Chuang Gan

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

链接：链接

Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance

Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, and Huaping Liu

AAAI Conference on Artificial Intelligence (AAAI), Spotlight

链接：链接

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, and Junzhou Huang

AAAI Conference on Artificial Intelligence (AAAI)

链接：链接

The General Black-box Attack Method for Graph Neural Networks

Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, and Junzhou Huang

AAAI Conference on Artificial Intelligence (AAAI)

Graph Representation Learning via Graphical Mutual Information Maximization

Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, and Junzhou Huang

The Web Conference (WWW)

链接：链接

2019

Toward efficient action recognition: Principal backpropagation for training two-stream networks

Wenbing Huang, Lijie Fan, Mehrtash Harandi, Lin Ma, Huaping Liu, Wei Liu, and Chuang Gan

IEEE Transactions on Image Processing (TIP)

Imitation learning from observations by minimizing inverse dynamics disagreement

Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang, and Chuang Gan

Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight

链接：链接

Neural collaborative subspace clustering

Tong Zhang, Pan Ji, Mehrtash Harandi, Wenbing Huang, and Hongdong Li

International Conference on Machine Learning (ICML)

链接：链接

Graph convolutional networks for temporal action localization

Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, and Chuang Gan

International Conference on Computer Vision (ICCV)

链接：链接

A fast and accurate one-stage approach to visual grounding

Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, and Jiebo Luo

International Conference on Computer Vision (ICCV), Oral

Controllable image-to-video translation: A case study on facial expression generation

Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, and Boqing Gong

AAAI Conference on Artificial Intelligence (AAAI), Oral

链接：链接

Task transfer by preference-based cost learning

Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, and Huaping Liu

AAAI Conference on Artificial Intelligence (AAAI)

链接：链接

Beyond rnns: Positional self-attention with co-attention for video question answering

Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, and Chuang Gan

AAAI Conference on Artificial Intelligence (AAAI)

Semi-supervised graph classification: A hierarchical graph perspective

Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wenbing Huang, and Junzhou Huang

The Web Conference (WWW)

链接：链接

2018

Adaptive sampling towards fast graph representation learning

Wenbing Huang, Tong Zhang, Yu Rong, and Junzhou Huang

Annual Conference on Neural Information Processing Systems (NeurIPS)

链接：链接

Weakly supervised dense event captioning in videos

Xuguang Duan, Wenbing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu, and Junzhou Huang

Annual Conference on Neural Information Processing Systems (NeurIPS)

链接：链接

End-to-end learning of motion representation for video understanding

Lijie Fan, Wenbing Huang, Chuang Gan, Stefano Ermon, and Boqing Gong

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Spotlight

链接：链接

LDS-FCM: A linear dynamical system based fuzzy C-means method for tactile recognition

Chunfang Liu, Wenbing Huang, Fuchun Sun, Minnan Luo, and Chuanqi Tan

IEEE Transactions on Fuzzy Systems

2017

Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Dictionary Learning

Wenbing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun, and Junzhou Huang

Annual Conference on Neural Information Processing Systems (NeurIPS)

链接：链接

2016

Sparse Coding and Dictionary Learning with Linear Dynamical Systems

Wenbing Huang, Fuchun Sun, Lele Cao, Deli zhao, Huaping Liu, and Mehrtash Harandi

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral

链接：链接

Learning Stable Linear Dynamical Systems using the Weighted Least Square Method

Wenbing Huang, Lele Cao, Fuchun Sun, Deli zhao, Huaping Liu, and Shanshan Yu

International Joint Conference on Artificial Intelligence (IJCAI)

链接：链接

2015

Scalable Gaussian Process Regression using Deep Neural Networks

Wenbing Huang, Deli Zhao, Fuchun Sun, Huaping Liu, and Edward Chang

International Joint Conference on Artificial Intelligence (IJCAI)

链接：链接

荣誉奖励

2025年 CCF产学合作基金优秀项目案例

2024年斯坦福大学全球前2%顶尖科学家年度榜单

2023年斯坦福大学全球前2%顶尖科学家年度榜单

2023年 2022年度腾讯AI Lab犀牛鸟专项研究计划卓越奖（27项受资助项目排名第一）

2023年北京科技新星计划

2023年 ICLR Outstanding Paper Honorable Mention (< 0.19%)

2022年 NeurIPS Open Catalyst 竞赛冠军

2022年斯坦福大学全球前2%顶尖科学家年度榜单

2021年 2020年度腾讯AI Lab犀牛鸟专项研究及访问学者计划卓越奖（27项受资助项目排名第一）

2021年 NeurIPS Outstanding Reviewer Award (Top 8%)

2021年 AAAI Top SPC award (Top 25%)

2020年 IROS 开放云机器人桌面整理挑战赛（OCRTOC）季军

2020年 MSRA铸星计划学者

2020年腾讯犀牛鸟学者

2019年清华大学水木学者

2019年腾讯卓越运营奖

社会兼职

Area Chair: NeurIPS 2024/2025 ICLR 2025/2026 ICML 2025

Action Editor: TMLR

SPC Member: AAAI 2021/2022 IJCAI 2021

Reviewer for Nature Machine Intelligence TPAMI

中国人工智能学会组织工委副秘书长

中国人工智能学会认知系统与信息处理专委会委员

中国计算机学会人工智能与模式识别专业委员会执行委员

中国自动化学会认知计算与系统专委会委员

联系

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