Good Papers

Showing papers from Xi'an Jiaotong University Show all papers

74%Highly rated
?Highly ratedVote to see the score
AAAI 2025Xi'an JiaotongU VirginiaGraph neural networks

Out-of-Distribution Generalization on Graphs via Progressive Inference

GPro improves graph out-of-distribution generalization by decomposing causal invariant learning into progressive inference steps and augmenting training with counterfactual samples, outperforming state-of-the-art methods by 4.91%.

Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu and 2 more

Published Apr 11, 2025 · 3 citations

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5
74%Highly rated
?Highly ratedVote to see the score
EMNLP 2025Xi'an JiaotongState Grid Corporation of ChinaNational University of Defense TComputational social science

How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis

A Weibo dataset of 11,393 misinformation posts and 65,749 social bots reveals bots amplify echo chambers and generate similar content to manipulate opinions.

Herun Wan, Minnan Luo, Zihan Ma, Guang Dai and 1 more

Published 2025 · 6 citations

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 1/5
86%Must read
?Must readVote to see the score
ACL 2024U WashingtonXi'an JiaotongU Notre DameAdversarial robustness

What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection

Instruction-tuned LLMs with a mixture-of-experts framework outperform bot detectors by 9.1%, but LLM-guided manipulation reduces their performance by up to 29.6%.

Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan and 2 more

Published 2024 · 27 citations

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
71%Highly rated
?Highly ratedVote to see the score
ICLR 2024U VirginiaIBMXi'an JiaotongFairness & bias

Adversarial Attacks on Fairness of Graph Neural Networks

G-FairAttack is a framework that adversarially corrupts fairness in fairness-aware graph neural networks while preserving prediction utility.

Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu and 2 more

Published Oct 20, 2023 · 1 citation · ▲ 1 on Hugging Face · Code ★ 11

– ReadersNo votes yet
7/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5
80%Must read
?Must readVote to see the score
arXivXi'an JiaotongU Notre DameU VirginiaLLM pretraining & scaling laws

LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection

LMBot distills graph neural network knowledge into language models for efficient graph-less Twitter bot detection, achieving state-of-the-art results across four benchmarks.

Cai, Zijian, Zhaoxuan Tan, Zhenyu Lei, Zhu, Zifeng and 3 more

Published Jun 30, 2023 · 0 citations

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
80%Must read
?Must readVote to see the score
arXivXi'an JiaotongGraph neural networks

HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention

HOFA improves Twitter bot detection via homophily-oriented graph augmentation and frequency-adaptive attention, achieving state-of-the-art results on three benchmarks.

Sen Ye, Zhaoxuan Tan, Zhenyu Lei, He, Ruijie and 3 more

Published Jun 22, 2023 · 3 citations

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
78%Highly rated
?Highly ratedVote to see the score
EMNLP 2023FindingsU Notre DameU WashingtonAllen Institute for Artificial IXi'an JiaotongComputational social science

BotPercent: Estimating Bot Populations in Twitter Communities

BotPercent estimates community-specific Twitter bot populations by calibrating detection models across social contexts, revealing heterogeneous spatial-temporal bot distributions and achieving state-of-the-art community-level detection accuracy.

Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan and 3 more

Published 2023 · 16 citations

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
74%Highly rated
?Highly ratedVote to see the score
ACL 2023U WashingtonCarnegie MellonXi'an JiaotongFairness & bias

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Pretraining data political biases propagate through language models into unfair hate speech and misinformation detectors, reinforcing polarization.

Shangbin Feng, Chan Young Park, Yuhan Liu, Yulia Tsvetkov

Published 2023 · 138 citations

– ReadersNo votes yet
9/21 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 9 of 21 reviewers recommend it
lenient 5/5
medium 4/11
strict 0/5
70%Highly rated
?Highly ratedVote to see the score
ACL 2023U WashingtonXi'an JiaotongU VirginiaTsinghuaText classification

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency

BIC detects Twitter bots via text-graph interaction and semantic consistency modeling, achieving high detection accuracy.

Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng and 4 more

Published 2023 · 35 citations

– ReadersNo votes yet. 1 from authors or colleagues not counted
5/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 5 of 20 reviewers recommend it
lenient 3/5
medium 2/10
strict 0/5
80%Must read
?Must readVote to see the score
NeurIPS 2022U WashingtonXi'an JiaotongGraph neural networks

TwiBot-22: Towards Graph-Based Twitter Bot Detection

TwiBot-22 introduces the largest graph-based Twitter bot benchmark with high-quality annotations and evaluates 35 baselines across nine datasets.

Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang and 18 more

Published Jun 9, 2022 · 46 citations · Code ★ 270

– ReadersNo votes yet. 1 from authors or colleagues not counted
12/21 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 21 reviewers recommend it
lenient 5/5
medium 6/11
strict 1/5
70%Highly rated
?Highly ratedVote to see the score
NAACL 2022U VirginiaXi'an JiaotongText classification

KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media

KCD integrates knowledge walks and textual cues to improve political perspective detection in news media.

Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei and 2 more

Published 2022 · 18 citations

– ReadersNo votes yet
4/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 4 of 20 reviewers recommend it
lenient 2/5
medium 2/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
EMNLP 2022U Technology SydneyU WashingtonU California San DiegoXi'an JiaotongTsinghuaComputational social science

PAR: Political Actor Representation Learning with Social Context and Expert Knowledge

PAR learns political actor representations by integrating social context and expert knowledge into a unified framework.

Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang and 4 more

Published 2022 · 8 citations

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
91%Must read
?Must readVote to see the score
ICCV 2021U Science and Technology of ChinMicrosoft Research AsiaXi'an JiaotongTsinghuaVision backbones

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Swin Transformer is a hierarchical vision transformer using shifted windows for efficient local self-attention and linear image complexity, achieving state-of-the-art results on ImageNet, COCO, and ADE20K.

Ze Liu, Yutong Lin, Yue Cao, Han Hu and 4 more

Published Oct 1, 2021 · 33,075 citations

– ReadersNo votes yet. 1 from authors or colleagues not counted
18/21 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 18 of 21 reviewers recommend it
lenient 5/5
medium 10/11
strict 3/5