Jiliang Tang

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