← Authors

Defu Lian

68 papers · 2016–2026 · 9 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (7) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (25) 🀝 Dynamic Duo (21) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (27) πŸ”¬ Deep Specialist (13) πŸ† Keyword Champion πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ’Ž Century Club (67) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (68) πŸš€ Conference Pioneer

Conferences

ACL (18) NIPS (12) AAAI (11) IJCAI (9) ICLR (8) EMNLP (5) ICML (3) COLING (1) IJCNLP (1)

Top co-authors

Enhong Chen (21) Zheng Liu (13) Ying Wei (8) Shitao Xiao (8) Kai Zheng (6) Gangwei Jiang (6) Zhaoyi Li (6) Qi Liu (6) Linqi Song (5) Hong Xie (5)

Keywords

recommender system (8) large language model (7) information retrieval (5) graph neural network (5) representation learning (4) collaborative filtering (4) machine translation (3) product quantization (3) neural network (3) knowledge distillation (3) graph convolutional network (3) maximum inner product search (3) implicit feedback (2) item recommendation (2) importance sampling (2) semi-supervised learning (2) time series forecasting (2) multimodal retrieval (2) dense retrieval (2) zero-shot learning (2)

Papers

Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing AAAI 2026
ToolACE: Winning the Points of LLM Function Calling ICLR 2025
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning ICLR 2025
AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark ACL 2025
Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval ACL 2025
MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval ACL 2025
Boosting Long-Context Information Seeking via Query-Guided Activation Refilling ACL 2025
Making Transformer Decoders Better Differentiable Indexers ICLR 2025
From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models ICML 2025
HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking ICML 2025
TDDBench: A Benchmark for Training data detection ICLR 2025
RecFlow: An Industrial Full Flow Recommendation Dataset ICLR 2025
Making Text Embedders Few-Shot Learners ICLR 2025
What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning EMNLP 2025
Efficient Data Labeling by Hierarchical Crowdsourcing with Large Language Models COLING 2025
RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery ACL 2025
Exploring the Choice Behavior of Large Language Models ACL 2025
Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval ACL 2025
Internal Value Alignment in Large Language Models through Controlled Value Vector Activation ACL 2025
Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval ACL 2024
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model NIPS 2024
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure NIPS 2024
FilterNet: Harnessing Frequency Filters for Time Series Forecasting NIPS 2024
Learning from Highly Sparse Spatio-temporal Data NIPS 2024
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction AAAI 2024
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation ACL 2024
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation ACL 2024
On the Vulnerability of Safety Alignment in Open-Access LLMs ACL 2024
Understanding and Patching Compositional Reasoning in LLMs ACL 2024
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning ACL 2024
Evaluating Readability and Faithfulness of Concept-based Explanations EMNLP 2024
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing EMNLP 2024
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation ICLR 2024
Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation ICML 2024
Adaptive Order Q-learning IJCAI 2024
Learned Index with Dynamic $\epsilon$ ICLR 2023
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification IJCAI 2023
Learning to Substitute Spans towards Improving Compositional Generalization ACL 2023
Query-Aware Quantization for Maximum Inner Product Search AAAI 2023
Knowledge Distillation for High Dimensional Search Index NIPS 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting NIPS 2023
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts EMNLP 2023
Recommender Forest for Efficient Retrieval NIPS 2022
Anisotropic Additive Quantization for Fast Inner Product Search AAAI 2022
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever NIPS 2022
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy NIPS 2022
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance ACL 2022
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics ACL 2022
Preference-Adaptive Meta-Learning for Cold-Start Recommendation IJCAI 2021
Matching-oriented Embedding Quantization For Ad-hoc Retrieval EMNLP 2021
Assessing Dialogue Systems with Distribution Distances IJCNLP 2021
Assessing Dialogue Systems with Distribution Distances ACL 2021
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph NIPS 2021
Meta-learning with an Adaptive Task Scheduler NIPS 2021
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure AAAI 2021
A Variational Point Process Model for Social Event Sequences AAAI 2020
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection AAAI 2020
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions IJCAI 2020
Sampling-Decomposable Generative Adversarial Recommender NIPS 2020
Preference-Aware Task Assignment in Spatial Crowdsourcing AAAI 2019
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference IJCAI 2019
Binarized Collaborative Filtering with Distilling Graph Convolutional Network IJCAI 2019
Adversarial Binary Collaborative Filtering for Implicit Feedback AAAI 2019
Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer AAAI 2019
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach IJCAI 2017
Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback IJCAI 2016
A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback IJCAI 2016