PPaperPicks

Li Zhang

49 papers at tracked venues · 34 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. CodeMEM: AST-Guided Adaptive Memory for Repository-Level Iterative Code Generation
  2. Collaboratively "Copy & Paste" 2D-3D Features for Complex Video-to-Video Motion Editing
  3. Delayed Feedback Modeling for Post-Click Gross Merchandise Volume Prediction: Benchmark, Insights and Approaches
  4. ELSPR: Evaluator LLM Training Data Self-Purification on Non-Transitive Preferences via Tournament Graph Reconstruction
  5. From Home to Housing: Designing Smart Home Care Ecologies
  6. Iterative Formalization and Planning in Partially Observable Environments
  7. Language Model as Planner and Formalizer under Constraints
  8. M-DaQ: Retrieving Samples with Multilingual Diversity and Quality for Instruction Fine-Tuning Datasets
  9. MIDB: Multilingual Instruction Data Booster for Enhancing Cultural Equality in Multilingual Instruction Synthesis
  10. Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions
  11. PLAWBENCH: A Rubric-Based Benchmark for Evaluating LLMs in Real-World Legal Practice
  12. Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference
  13. SSR: Structured Subgraph Retrieval for Temporal Knowledge Graph Question Answering with LLMs
  14. TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models
    AAAI 2026 · Li Zhang
  15. Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems
  16. The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models
  17. Think in Latent Thoughts: A New Paradigm for Gloss-Free Sign Language Translation
  18. Unifying Inference-Time Planning Language Generation
  19. "I Love the Internet Again": Exploring the Interaction Inception of "TikTok Refugees" Flocking into RedNote
  20. Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization
  21. Data Interpreter: An LLM Agent for Data Science
  22. Deep Knowledge-Infused Transformer for NSCLC Lymph Node Station Metastasis Prediction: Development of an AI-Powered Intraoperative Decision System
  23. DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory
  24. Evaluating Time Series Models with Knowledge Discovery
    SDM 2025 · Li Zhang
  25. FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning
    NeurIPS 2025 · Li Zhang
  26. LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
    AAAI 2025 · Li Zhang
  27. MPDG-SLAM: Motion Probability-Based 3DGS-SLAM in Dynamic Environment
  28. Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-Sample Topology Augmentation for Brain Disorder Diagnosis
  29. Plug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems
  30. Q-Insight: Understanding Image Quality via Visual Reinforcement Learning
  31. Rethinking Layered Graphic Design Generation with a Top-Down Approach
  32. Streaming Trends: A Low-Latency Platform for Dynamic Video Grouping and Trending Corpora Building
  33. Towards Robust Overlapping Speech Detection: A Speaker-Aware Progressive Approach Using WavLM
  34. Training Language Model to Critique for Better Refinement
  35. An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons
  36. BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation
    ICML 2024 · Li Zhang
  37. CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
  38. CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning
  39. FrameQuant: Flexible Low-Bit Quantization for Transformers
  40. Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts
  41. Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems
  42. Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
  43. Modular Blind Video Quality Assessment
  44. NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields
  45. Personalized Video Comment Generation
  46. SCDNet: Self-supervised Learning Feature based Speaker Change Detection
  47. TimeR⁴ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
  48. UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer
  49. Variational Invariant Representation Learning for Multimodal Recommendation