hoBIT: A Profile-Aware Retrieval-Augmented Chatbot for University Academic Advising
Conference on Empirical Methods in Natural Language Processing (EMNLP), Demonstration
Publications
Our work in recommender systems, information retrieval, data mining, and machine learning.
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61 of 61 publications
2026
21 publications
PEARL: Front-Loading Relational Chains for Multi-Hop Table Retrieval
Conference on Empirical Methods in Natural Language Processing (EMNLP), Main
Beyond Observed Auxiliary Relations: Environment-Conditioned Modeling for Multi-Behavior Recommendation
ACM International Conference on Information and Knowledge Management (CIKM)
SCoRD: Semantic-Assisted Continual Retriever-Reranker Distillation for LLM-Based Recommendation
ACM International Conference on Information and Knowledge Management (CIKM)
Profiling What Matters: Context-Aware Item Profiles from Large-Scale Metadata for LLM Recommenders
ACM International Conference on Information and Knowledge Management (CIKM)
Dynamic Spectral Decoupling for Time-Series Forecasting
ACM International Conference on Information and Knowledge Management (CIKM)
TRACER: Balancing Stability-Plasticity-Cognitivity Trilemma for LLM Enhanced Continual Recommendation
ACM International Conference on Information and Knowledge Management (CIKM)
Uncertainty-Aware Variational Reward Factorization via Probabilistic Preference Bases for LLM Personalization
Conference on Language Modeling (COLM)
Improving Scientific Document Retrieval with Academic Concept Index
ACM Transactions on Intelligent Systems and Technology (TIST) (SCIE, Q1: IF Top 3.2%)
CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths
Annual Meeting of the Association for Computational Linguistics (ACL), Findings
Continual Low-Rank Adapters for LLM-based Generative Recommender Systems
International Conference on Learning Representations (ICLR)
Continual Recommender Systems: A Focus on LLMs and Evolving Trends
International Conference on Database Systems for Advanced Applications (DASFAA), Tutorial
Capturing User Interests from Data Streams for Continual Sequential Recommendation
ACM International Conference on Web Search and Data Mining (WSDM)
PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval
ACM The Web Conference (WWW)
CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft Memory
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
BPL: Bias-adaptive Preference Distillation Learning for Recommender System
IEEE Transactions on Knowledge and Data Engineering (TKDE) (SCIE, Q1: IF Top 1.8%)
2025
12 publications
Topic Coverage-based Demonstration Retrieval for In-Context Learning
Conference on Empirical Methods in Natural Language Processing (EMNLP), Main
Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking
Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings
Continual Recommender Systems
ACM International Conference on Information and Knowledge Management (CIKM), Tutorial
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
Conference on Language Modeling (COLM)
Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval
Conference on Language Modeling (COLM)
Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Personalized Preference Reasoning with Large Language Models for Accurate and Explainable Recommendation
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Uncertainty Quantification and Decomposition for LLM-based Recommendation
ACM The Web Conference (WWW)
Chain-of-Factors Paper-Reviewer Matching
ACM The Web Conference (WWW)
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
ACM International Conference on Web Search and Data Mining (WSDM)
Best Papers of WSDM 2025 · Invited to ACM TIST
Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts
ACM International Conference on Web Search and Data Mining (WSDM)
2024
10 publications
Taxonomy-guided Semantic Indexing for Academic Paper Search
Conference on Empirical Methods in Natural Language Processing (EMNLP), Main (Oral)
Continual Collaborative Distillation for Recommender System
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset
Annual Meeting of the Association for Computational Linguistics (ACL), Findings
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy
Annual Meeting of the Association for Computational Linguistics (ACL), Short Paper, Findings
Multi-Domain Sequential Recommendation via Domain Space Learning
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
Conference on Computer Vision and Pattern Recognition (CVPR)
Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems
ACM Transactions on Recommender Systems (TORS)
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy
ACM The Web Conference (WWW)
Top-Personalized-K Recommendation
ACM The Web Conference (WWW)
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
AAAI Conference on Artificial Intelligence (AAAI)
2023
3 publications
MvFS: Multi-view Feature Selection for Recommender System
ACM International Conference on Information and Knowledge Management (CIKM), Short Paper
Distillation from Heterogeneous Models for Top-K Recommendation
ACM The Web Conference (WWW)
Learning Topology-Specific Experts for Molecular Property Prediction
AAAI Conference on Artificial Intelligence (AAAI)
2022
5 publications
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
ACM The Web Conference (WWW)
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters
ACM The Web Conference (WWW)
Obtaining Calibrated Probabilities with Personalized Ranking Models
AAAI Conference on Artificial Intelligence (AAAI), Oral
Mitigating viewpoint sensitivity of self-supervised one-class classifiers
Information Sciences (SCI)
Personalized Knowledge Distillation for Recommender System
Knowledge-Based Systems (SCI)
2021
6 publications
Topology Distillation for Recommender System
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Bootstrapping User and Item Representations for One-Class Collaborative Filtering
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Unsupervised Proxy Selection for Session-based Recommender Systems
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation
ACM International World-Wide Web Conference (WWW)
Bidirectional Distillation for Top-K Recommender System
ACM International World-Wide Web Conference (WWW)
Item-side Ranking Regularized Distillation for Recommender System
Information Sciences (SCI)
2020 and before
4 publications
DE-RRD: A Knowledge Distillation Framework for Recommender System
ACM International Conference on Information and Knowledge Management (CIKM)
Deep Rating Elicitation for New Users in Collaborative Filtering
ACM International World-Wide Web Conference (WWW), Short Paper
Multi-Modal Component Embedding for Fake News Detection
IEEE International Conference on Ubiquitous Information Management and Communication (IMCOM)
Semi-Supervised Learning for Cross-Domain Recommendation to Cold-start Users
ACM International Conference on Information and Knowledge Management (CIKM)