PPaperPicks

Jiang Bian

Microsoft Research Asia, Beijing, China

55 papers at tracked venues · 50 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Controllable Financial Market Generation with Diffusion Guided Meta Agent
  2. AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
  3. BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
  4. CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
  5. CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan-Generate-Verify Loop
  6. DPO Meets PPO: Reinforced Token Optimization for RLHF
  7. Dyn-O: Building Structured World Models with Object-Centric Representations
  8. Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning
  9. FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models
  10. From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning
  11. From Elements to Design: A Layered Approach for Automatic Graphic Design Composition
  12. Functional Complexity-adaptive Temporal Tensor Decomposition
  13. GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework
  14. Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations
  15. Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models
  16. IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting
  17. InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation
  18. InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models
  19. MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
  20. MIRA: Medical Time Series Foundation Model for Real-World Health Data
  21. MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
  22. NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data
  23. OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval
  24. Policy Filtration for RLHF to Mitigate Noise in Reward Models
  25. R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
  26. TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
  27. Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models
  28. TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
  29. UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing
  30. Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning
  31. VidTwin: Video VAE with Decoupled Structure and Dynamics
  32. Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators
  33. What Do Latent Action Models Actually Learn?
  34. BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
  35. BatteryML: An Open-source Platform for Machine Learning on Battery Degradation
  36. Compositional 3D-aware Video Generation with LLM Director
  37. Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
  38. Diversification of Adaptive Policy for Effective Offline Reinforcement Learning
  39. ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
  40. Empowering Diffusion Models on the Embedding Space for Text Generation
  41. End-to-End Rate-Distortion Optimized 3D Gaussian Representation
  42. From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models
  43. GAIA: Zero-shot Talking Avatar Generation
  44. Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
  45. MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
  46. Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training
  47. NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
  48. NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
  49. Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  50. ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
  51. PromptTTS 2: Describing and Generating Voices with Text Prompt
  52. Protecting Your LLMs with Information Bottleneck
  53. Regeneration Learning: A Learning Paradigm for Data Generation
  54. UniAudio: Towards Universal Audio Generation with Large Language Models
  55. Whittle Index with Multiple Actions and State Constraint for Inventory Management