PPaperPicks

Ziqi Liu

32 papers at tracked venues · 23 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AskNow: An LLM-powered Interactive System for Real-Time Question Answering in Large-Scale Classrooms
    CHI 2026 · Ziqi Liu
  2. Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality
    WWW 2026 · Ziqi Liu
  3. RAM-SD: Retrieval-Augmented Multi-agent framework for Sarcasm Detection
  4. SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Sarcasm Detection
    AAAI 2026 · Ziqi Liu
  5. Token-level Collaborative Alignment for LLM-based Generative Recommendation
  6. Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
  7. AroMR: Decentralizing Olfactory Displays into the Environment for Olfactory-Augmented Experiences in Mixed Reality
  8. Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness
  9. Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts
  10. Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation
  11. Enhancing Smartphone Eye Tracking with Cursor-Based Interactive Implicit Calibration
  12. Faithful Group Shapley Value
  13. Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
  14. MRBench: A Multi-Image Reasoning Benchmark with Adaptive Knowledge Retrieval
  15. Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
  16. OpenRSD: Towards Open-Prompts for Object Detection in Remote Sensing Images
  17. SET-PAiREd: Designing for Parental Involvement in Learning with an AI-Assisted Educational Robot
  18. TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs
  19. Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
  20. Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
  21. Adaptive and Robust Query Execution for Lakehouses At Scale
  22. Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph
  23. Can Small Language Models be Good Reasoners for Sequential Recommendation?
  24. Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation Systems
  25. GraphSAID: Graph Sampling via Attention based Integer Programming Method
    AAMAS 2024 · Ziqi Liu
  26. Knowledge-augmented Financial Market Analysis and Report Generation
  27. Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
  28. MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
  29. NativE: Multi-modal Knowledge Graph Completion in the Wild
  30. ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool
  31. The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective
  32. Time-Sensitve Retrieval-Augmented Generation for Question Answering