PPaperPicks

Song Guo

Hong Kong Polytechnic University, Department of Computing, Hong Kong

43 papers at tracked venues · 38 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. KVDrive: A Holistic Multi-Tier KV Cache Management System for Long-Context LLM Inference
  2. LazyEviction: Lagged KV Eviction with Attention Pattern Observation for Efficient Long Reasoning
  3. Predicting the Future by Retrieving the Past
  4. TTVS: Boosting Self-Exploring Reinforcement Learning via Test-time Variational Synthesis
  5. Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning Models
  6. BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation
  7. Causally Motivated Sycophancy Mitigation for Large Language Models
  8. DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement
  9. DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning
  10. Durable Quantization Conditioned Misalignment Attack on Large Language Models
  11. Enhancing Transferability of Targeted Adversarial Examples Via Inverse Target Gradient Competition and Spatial Distance Stretching
  12. Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
  13. Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View
  14. FreeMesh: Boosting Mesh Generation with Coordinates Merging
  15. ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination
  16. IRASim: A Fine-Grained World Model for Robot Manipulation
  17. InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis
  18. Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning
  19. Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion
  20. Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition
  21. Pistis: A Decentralized Knowledge Graph Platform Enabling Ownership-Preserving SPARQL Querying
  22. RORem: Training a Robust Object Remover with Human-in-the-Loop
  23. TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
  24. VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting
  25. Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
  26. C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation
  27. Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
  28. Cross-modal Representation Flattening for Multi-modal Domain Generalization
  29. Detached and Interactive Multimodal Learning
  30. DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
  31. Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring
  32. FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model
  33. GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning
  34. Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
  35. Matching Gains with Pays: Effective and Fair Learning in Multi-Agent Public Goods Dilemmas
  36. On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks
  37. Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection
  38. ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning
  39. Poisoning Attack on Federated Knowledge Graph Embedding
  40. ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning
  41. SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization
  42. Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models
  43. Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing