PPaperPicks

Huan Li

Zhejiang University, Department of Computer Science and Technology, Hangzhou, China

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

Venues

Frequent coauthors

Papers

  1. ChronosBI: Supercharging LLM-Powered Business Intelligence Pipelines with Semantic Caching and Cost Planning
  2. DeXOR: Enabling XOR in Decimal Space for Streaming Lossless Compression of Floating-point Data
  3. DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation
  4. Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects
  5. HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference
  6. MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity
  7. REDPARROT: Accelerating NL-to-DSL for Business Analytics via Query Semantic Caching
  8. Same Last-Item Confusion Unveiled: A Unified Mitigation Framework for Graph Learning in Session-Based Recommendation
  9. See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs
  10. AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference
  11. Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
  12. CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization
  13. CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation
  14. Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation
  15. High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration
  16. HyperMR: Efficient Hypergraph-enhanced Matrix Storage on Compute-in-Memory Architecture
  17. Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation
  18. Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
  19. STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation
  20. SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses
  21. SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning
  22. TEQ: An Open and Developer-friendly Testbed for Edge-based Query Processing Algorithms
  23. TableCopilot: A Table Assistant Empowered by Natural Language Conditional Table Discovery
  24. Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
  25. Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval
  26. T²DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning
  27. nlcTables: A Dataset for Marrying Natural Language Conditions with Table Discovery
  28. BoKA: Bayesian Optimization based Knowledge Amalgamation for Multi-unknown-domain Text Classification
  29. Contact Tracing over Uncertain Indoor Positioning Data (Extended Abstract)
  30. Draft& Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding
  31. E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
  32. LightTR: A Lightweight Framework for Federated Trajectory Recovery
  33. PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation
  34. Preventing the Popular Item Embedding Based Attack in Federated Recommendations
  35. ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions
  36. Revisiting CNNs for Trajectory Similarity Learning