Tang Jie

Tang Jie

Tsinghua University

H-index: 97

Asia-China

About Tang Jie

Tang Jie, With an exceptional h-index of 97 and a recent h-index of 71 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of Artificial Intelligence, Social Networks, Data Mining, Machine Learning, Knowledge Graph.

His recent articles reflect a diverse array of research interests and contributions to the field:

CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations

ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation

Agentbench: Evaluating llms as agents

MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis

Agenttuning: Enabling generalized agent abilities for llms

CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation

Towards Lightweight and Automated Representation Learning System for Networks

Glm-130b: An open bilingual pre-trained model

Tang Jie Information

University

Position

Professor of Data Mining

Citations(all)

35459

Citations(since 2020)

22630

Cited By

18415

hIndex(all)

97

hIndex(since 2020)

71

i10Index(all)

332

i10Index(since 2020)

251

Email

University Profile Page

Tsinghua University

Google Scholar

View Google Scholar Profile

Tang Jie Skills & Research Interests

Artificial Intelligence

Social Networks

Data Mining

Machine Learning

Knowledge Graph

Top articles of Tang Jie

Title

Journal

Author(s)

Publication Date

CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations

arXiv preprint arXiv:2402.04236

Ji Qi

Ming Ding

Weihan Wang

Yushi Bai

Qingsong Lv

...

2024/2/6

ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation

Dan Zhang

Yifan Zhu

Yuxiao Dong

Yuandong Wang

Wenzheng Feng

...

2023/4/30

Agentbench: Evaluating llms as agents

arXiv preprint arXiv:2308.03688

Xiao Liu

Hao Yu

Hanchen Zhang

Yifan Xu

Xuanyu Lei

...

2023/8/7

MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis

Proceedings of the AAAI Conference on Artificial Intelligence

Zhenyu Hou

Yukuo Cen

Ziding Liu

Dongxue Wu

Baoyan Wang

...

2023/6/26

Agenttuning: Enabling generalized agent abilities for llms

arXiv preprint arXiv:2310.12823

Aohan Zeng

Mingdao Liu

Rui Lu

Bowen Wang

Xiao Liu

...

2023/10/19

CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation

arXiv preprint arXiv:2311.18702

Pei Ke

Bosi Wen

Zhuoer Feng

Xiao Liu

Xuanyu Lei

...

2023/11/30

Towards Lightweight and Automated Representation Learning System for Networks

IEEE Transactions on Knowledge and Data Engineering

Yuyang Xie

Jiezhong Qiu

Laxman Dhulipala

Wenjian Yu

Jie Tang

...

2023/2/8

Glm-130b: An open bilingual pre-trained model

ICLR 2023

Aohan Zeng

Xiao Liu

Zhengxiao Du

Zihan Wang

Hanyu Lai

...

2022/10/5

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner

Zhenyu Hou

Yufei He

Yukuo Cen

Xiao Liu

Yuxiao Dong

...

2023/4/30

Improved the heterodimer protein complex prediction with protein language models

Briefings in Bioinformatics

Bo Chen

Ziwei Xie

Jiezhong Qiu

Zhaofeng Ye

Jinbo Xu

...

2023/7

WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window

Yifan Zhu

Fangpeng Cong

Dan Zhang

Wenwen Gong

Qika Lin

...

2023/8/6

Safetybench: Evaluating the safety of large language models with multiple choice questions

arXiv preprint arXiv:2309.07045

Zhexin Zhang

Leqi Lei

Lindong Wu

Rui Sun

Yongkang Huang

...

2023/9/13

Characterglm: Customizing chinese conversational ai characters with large language models

arXiv preprint arXiv:2311.16832

Jinfeng Zhou

Zhuang Chen

Dazhen Wan

Bosi Wen

Yi Song

...

2023/11/28

Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images

Medical & Biological Engineering & Computing

Alexandre Boulenger

Yanwen Luo

Chenhui Zhang

Chenyang Zhao

Yuanjing Gao

...

2023/2

Parameter-efficient fine-tuning of large-scale pre-trained language models

Nature Machine Intelligence

Ning Ding

Yujia Qin

Guang Yang

Fuchao Wei

Zonghan Yang

...

2023/3

Cogdl: A comprehensive library for graph deep learning

Yukuo Cen

Zhenyu Hou

Yan Wang

Qibin Chen

Yizhen Luo

...

2023/4/30

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

arXiv preprint arXiv:2306.09296

Jifan Yu

Xiaozhi Wang

Shangqing Tu

Shulin Cao

Daniel Zhang-Li

...

2023/6/15

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Qinkai Zheng

Xiao Xia

Xu Zou

Yuxiao Dong

Shan Wang

...

2023/8/6

Relay Diffusion: Unifying diffusion process across resolutions for image synthesis

ICLR 2024

Jiayan Teng*

Wendi Zheng*

Ming Ding*

Wenyi Hong

Jianqiao Wangni

...

2023/9/4

Cogvlm: Visual expert for pretrained language models

arXiv preprint arXiv:2311.03079

Weihan Wang

Qingsong Lv

Wenmeng Yu

Wenyi Hong

Ji Qi

...

2023/11/6

See List of Professors in Tang Jie University(Tsinghua University)

Co-Authors

H-index: 202
Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

H-index: 87
Jimeng Sun

Jimeng Sun

University of Illinois at Urbana-Champaign

H-index: 79
Nitesh V Chawla, FACM, FAAAI, FIEEE

Nitesh V Chawla, FACM, FAAAI, FIEEE

University of Notre Dame

H-index: 60
Juanzi Li

Juanzi Li

Tsinghua University

H-index: 30
Jing Zhang

Jing Zhang

Renmin University of China

H-index: 24
Sen Wu

Sen Wu

Stanford University

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