← Authors

Jiliang Tang

80 papers · 2013–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (9) πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🀝 Dynamic Duo (24) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (71) πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ† Keyword Champion (3) ⚑ Prolific Year (8) ❓ The Questioner (6) πŸ—ƒοΈ Keyword Collector (254) πŸ’Ž Century Club (79) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) πŸ“ˆ Trend Setter

Conferences

ICLR (13) NIPS (10) ACL (9) EMNLP (9) ICML (8) IJCAI (8) AAAI (6) NAACL (6) COLING (4) AISTATS (3) CVPR (2) ECCV (1) IJCNLP (1)

Top co-authors

Hui LIU (25) Han Xu (14) Yue Xing (13) Pengfei He (13) Yao Ma (13) Wei Jin (13) Haitao Mao (12) Zitao Liu (11) Shenglai Zeng (11) Jie Ren (11)

Research topics

Education (2) Privacy (1)

Keywords

large language model (12) graph neural network (10) representation learning (5) adversarial attack (4) harmful content (3) adversarial learning (3) domain adaptation (3) link prediction (3) retrieval-augmented generation (3) text classification (3) distribution shift (2) adversarial robustness (2) multi-task learning (2) message passing (2) deep learning (2) semi-supervised learning (2) adversarial training (2) graph representation (2) natural language inference (2) model compression (2)

Papers

Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation AAAI 2026
Unveiling Privacy Risks in LLM Agent Memory ACL 2025
Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases ACL 2025
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models ACL 2025
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning ACL 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data EMNLP 2025
Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression AISTATS 2025
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration AISTATS 2025
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective NAACL 2025
How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension ICLR 2025
Empowering GraphRAG with Knowledge Filtering and Integration EMNLP 2025
Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective EMNLP 2025
Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data NAACL 2025
Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models CVPR 2025
A Survey to Recent Progress Towards Understanding In-Context Learning NAACL 2025
Data Poisoning for In-context Learning NAACL 2025
AutoG: Towards automatic graph construction from tabular data ICLR 2025
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention ECCV 2024
Sharpness-Aware Data Poisoning Attack ICLR 2024
Exploring Memorization in Fine-tuned Language Models ACL 2024
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis EMNLP 2024
Are Large Language Models (LLMs) Good Social Predictors? EMNLP 2024
On the Generalization of Training-based ChatGPT Detection Methods EMNLP 2024
Structural Fairness-aware Active Learning for Graph Neural Networks ICLR 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights NIPS 2024
Mixture of Link Predictors on Graphs NIPS 2024
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing NAACL 2024
Position: Graph Foundation Models Are Already Here ICML 2024
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming ICML 2024
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective ICML 2024
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis EMNLP 2024
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) ACL 2024
Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024
Revisiting Link Prediction: a data perspective ICLR 2024
Label-free Node Classification on Graphs with Large Language Models (LLMs) ICLR 2024
CellPLM: Pre-training of Cell Language Model Beyond Single Cells ICLR 2024
Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking NIPS 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation NIPS 2023
Towards Label Position Bias in Graph Neural Networks NIPS 2023
XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information NIPS 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NIPS 2023
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL 2023
Distance-Based Propagation for Efficient Knowledge Graph Reasoning EMNLP 2023
Transferable Unlearnable Examples ICLR 2023
Empowering Graph Representation Learning with Test-Time Graph Transformation ICLR 2023
Alternately Optimized Graph Neural Networks ICML 2023
Generative Diffusion Models on Graphs: Methods and Applications IJCAI 2023
Is Homophily a Necessity for Graph Neural Networks? ICLR 2022
A Large Scale Search Dataset for Unbiased Learning to Rank NIPS 2022
Automated Self-Supervised Learning for Graphs ICLR 2022
Graph Condensation for Graph Neural Networks ICLR 2022
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models NIPS 2022
Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference COLING 2022
Toward Annotator Group Bias in Crowdsourcing ACL 2022
Multi-Type Urban Crime Prediction AAAI 2022
Elastic Graph Neural Networks ICML 2021
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems AAAI 2021
DeepRobust: a Platform for Adversarial Attacks and Defenses AAAI 2021
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification IJCNLP 2021
To be Robust or to be Fair: Towards Fairness in Adversarial Training ICML 2021
Linear Convergent Decentralized Optimization with Compression ICLR 2021
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification ACL 2021
Graph Neural Networks with Adaptive Residual NIPS 2021
Graduate Employment Prediction with Bias AAAI 2020
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning EMNLP 2020
Does Gender Matter? Towards Fairness in Dialogue Systems COLING 2020
Personalized Multimodal Feedback Generation in Education COLING 2020
A Double Residual Compression Algorithm for Efficient Distributed Learning AISTATS 2020
Learning Multi-Level Dependencies for Robust Word Recognition AAAI 2020
Learning Hierarchical Discourse-level Structure for Fake News Detection NAACL 2019
Deep Adversarial Social Recommendation IJCAI 2019
Multi-Source Multi-Class Fake News Detection COLING 2018
Reconstruction-based Unsupervised Feature Selection: An Embedded Approach IJCAI 2017
PPP: Joint Pointwise and Pairwise Image Label Prediction CVPR 2016
Timeline Summarization from Social Media with Life Cycle Models IJCAI 2016
Exploring Implicit Hierarchical Structures for Recommender Systems IJCAI 2015
Unsupervised Sentiment Analysis for Social Media Images IJCAI 2015
Exploiting Local and Global Social Context for Recommendation IJCAI 2013
Social Spammer Detection in Microblogging IJCAI 2013