Julian McAuley
Professor
Builds recommender systems and models of user behavior and opinions from large online review and social data.
Julian McAuley's lab at UCSD works on recommendation, search & web and computational social science. 129 papers since 2023, 85 at top venues, mostly EMNLP and ICLR. 18 PhD students. 25 alumni, most often to Google DeepMind and Meta. Applications close .
At a glance
- papers, 2023–2026
- 34/ year
- at T1 venues
- 66%
- PhD students
- 18
- MS students
- 0
- alumni listed
- 25
Papers by yearfrom the lab homepage, 2023–2026
- 41 papers2026 · T1 28 · collecting
- 35 papers2025 · T1 26
- 26 papers2024 · T1 14
- 27 papers2023 · T1 17
T1 venuesOtherVenues: EMNLP, ICLR, ICASSP, TMLR, ACL
Research focuspaper titles that use each topic's words
- Recommendation, search & web36 papers
- user4 papers
- user behavior1 paper
- Computational social science0 papers
- social data0 papers
Paper list
From the lab homepage.
202641 papers
- Anasthesia and AnalgesiaA machine learning-based early warning system for renal replacement therapy in the intensive care unit (opens in a new tab)
- SIGIR (T1)A zero-weight personalized recommender system for scalable news recommendation (opens in a new tab)
- NeurIPS (T1)Auto-dreamer: learning offline memory consolidation for language agents (opens in a new tab)
- EMNLP (T1)Belief-revising memory for conversational LLM agents (opens in a new tab)
- ICML (T1)Benchmarking agent memory in interdependent multi-session agentic tasks (opens in a new tab)
- SIGIR (T1)Benchmarking compositional Music Information Retrieval in symbolic music reasoning (opens in a new tab)
- ICLR (T1)BiasFreeBench: A benchmark for mitigating bias in Large Language Model responses (opens in a new tab)
- ACL (T1)Bridging language and items for retrieval and recommendation: Benchmarking LLMs as semantic encoders (opens in a new tab)
- COLMCocoaBench: Evaluating unified digital agents in the wild (opens in a new tab)
- EMNLP (T1)Context compression for LLM Agents: a survey of methods, failure modes, and evaluation (opens in a new tab)
- WSDM (T1)Dual conditional diffusion models for sequential recommendation (opens in a new tab)
- ACL (T1)Evaluating language model pluralism through in-the-wild crowd discussions (opens in a new tab)
202535 papers
- ICCSA deeper look into the limitations of early-exit architectures for single and multi-label classification (opens in a new tab)
- CAAI Transactions on Intelligence TechnologyA temporally disentangled contrastive diffusion model for spatiotemporal imputation (opens in a new tab)
- ISMIRAre you really listening? Boosting perceptual awareness in music-QA benchmarks (opens in a new tab)
- COLING (T1)Beyond Chain-of-Thought: A survey of Chain-of-X paradigms for LLMs (opens in a new tab)
- WWW (T1)Bridging conversational and collaborative signals for conversational recommendation (opens in a new tab)
- ICASSP (T1)Contrastive long-form language-audio pretraining with musical temporal structure augmentation (opens in a new tab)
- IEEE International Conference on Big DataContrastive self-supervised learning for text incoherence detection (opens in a new tab)
- WWW (T1)Disentangling likes and dislikes in personalized generative explainable recommendation (opens in a new tab)
- COLING (T1)Embedding-informed adaptive retrieval-augmented generation of Large Language Models (opens in a new tab)
- ICASSP (T1)Enhancing fine-grained and temporally-aware music understanding with music information retrieval (opens in a new tab)
- ACL (T1)From selection to generation: A survey of LLM-based active learning (opens in a new tab)
- ISMIRGenerating symbolic music from natural language prompts using an LLM-enhanced dataset (opens in a new tab)
202426 papers
- KDD (T1)A review of modern recommender systems using generative models (opens in a new tab)
- TMLR (T1)A survey on large language models for critical societal domains: Finance, Healthcare, and Law (opens in a new tab)
- WWW (T1)AgentCF: Collaborative learning with autonomous language agents for recommender systems (opens in a new tab)
- UMAPAvoiding decision fatigue with AI-assisted decision-making (opens in a new tab)
- CIKM (T1)Calibration-disentangled learning and relevance-prioritized reranking for calibrated sequential recommendation (opens in a new tab)
- Findings of EMNLPCognitive bias in decision-making with LLMs (opens in a new tab)
- AAAI (T1)Deciphering compatibility relationships with textual descriptions via extraction and explanation (opens in a new tab)
- NAACL (T1)Evaluating large language models as generative user simulators for conversational recommendation (opens in a new tab)
- Findings of NAACLExtending input contexts of language models through training on segmented sequences (opens in a new tab)
- IEEE Transactions on Multimedia Computing Communications and ApplicationsFaceSigns: Semi-fragile watermarks for media authentication (opens in a new tab)
- SIGIR (T1)Fair sequential recommendation without user demographics (opens in a new tab)
- ICML (T1)Generating, reconstructing, and representing discrete and continuous data: generalized diffusion with learnable encoding-decoding (opens in a new tab)
202327 papers
- CSURA review of modern fashion recommender systems (opens in a new tab)
- Findings of EACLA survey on dynamic neural networks for natural language processing (opens in a new tab)
- AAAI (T1)A survey on model compression and acceleration for pretrained language models (opens in a new tab)
- ACL (T1)Adversarially detecting and remedying inconsistencies in natural language explanations (opens in a new tab)
- EACLAssistive recipe editing through critiquing (opens in a new tab)
- EMNLP (T1)Baize: An open-source chat model with parameter-efficient tuning on self-chat data (opens in a new tab)
- ICML (T1)CHiLS: Zero-shot image classification with hierarchical label sets (opens in a new tab)
- American Journal of EpidemiologyClimate and gender: Association between droughts and intimate partner violence in India (opens in a new tab)
- TMLR (T1)Data distillation: A survey (opens in a new tab)
- EMNLP (T1)Debiasing with natural language feedback for fair interpretable predictions (opens in a new tab)
- Knowledge-Based SystemsDeep reinforcement learning in recommender systems: A survey and new perspectives (opens in a new tab)
- AAAI (T1)Disambiguating medical reports via contrastive knowledge infusion (opens in a new tab)
Where alumni went25 listed, 68% to industry
Industry 13Academia 6
Most often to
- Google DeepMind
- Meta
- Adobe
Also to
- Carnegie Mellon University
- East West University
- MIT
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
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