PPaperPicks

Yi Chang

Jilin University, School of Artificial Intelligence, China

49 papers at tracked venues · 40 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards
  2. Enhancing Multimodal Recommendation via Multimodal Representation Calibration in Spectral Domain
  3. SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering
  4. SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling
  5. When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents
  6. Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies
  7. Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
  8. Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation
  9. Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning
  10. CGMatch: A Different Perspective of Semi-supervised Learning
  11. Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models
  12. Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
  13. Concept Matching with Agent for Out-of-Distribution Detection
  14. ContraDiff: Planning Towards High Return States via Contrastive Learning
  15. DRL: Decomposed Representation Learning for Tabular Anomaly Detection
  16. Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
  17. Enhancing Black-Box Adversarial Attacks on Discrete Sequential Data via Bilevel Bayesian Optimization in Hybrid Spaces
  18. FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
  19. FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
  20. FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
  21. High-Resolution Spatiotemporal Modeling with Global-Local State Space Models for Video-Based Human Pose Estimation
  22. InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning
  23. LLM Meeting Decision Trees on Tabular Data
  24. Large Language Model Evaluation via Matrix Nuclear-Norm
  25. Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization
  26. LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization
  27. MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing
  28. Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models
  29. Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
  30. Query Efficient Black-Box Visual Prompting with Subspace Learning
  31. Rethinking Data Selection at Scale: Random Selection is Almost All You Need
  32. SIGMA: Selective Gated Mamba for Sequential Recommendation
  33. STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
  34. Simulating Question-answering Correctness with a Conditional Diffusion
  35. Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces
  36. Training-free LLM Merging for Multi-task Learning
  37. An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series
  38. DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
  39. Double Momentum Method for Lower-Level Constrained Bilevel Optimization
  40. Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom
  41. Fast and Adversarial Robust Kernelized SDU Learning
  42. Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective
  43. Language Models can Evaluate Themselves via Probability Discrepancy
  44. Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization
  45. NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli
  46. PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
  47. ScreenAgent: A Vision Language Model-driven Computer Control Agent
  48. Subspace Selection based Prompt Tuning with Nonconvex Nonsmooth Black-Box Optimization
  49. The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)