Jie Jiang

Towards Safe and Optimal Online Bidding: A Modular Look-ahead Lyapunov Framework

Towards a Comprehensive Scaling Law of Mixture-of-Experts

CameraNoise: Learning Precise Camera Control with Video Diffusion in Noise Space

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation

SQLGovernor: An LLM-powered SQL Toolkit for Real World Application

CAdam: Confidence-Based Optimization for Online Learning

KGQA-Star:Deliberative Reasoning for Planning on Knowledge Graphs for Question Answering

From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models

Long-Sequence Recommendation Models Need Decoupled Embeddings

Scaling Laws for Floating–Point Quantization Training

Towards Scalable Semantic Representation for Recommendation