Jiang Bian

Controllable Financial Market Generation with Diffusion Guided Meta Agent AAAI 2026 Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators ICLR 2025 Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning ICML 2025 Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models NAACL 2025 OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval ACL 2025 Learning to Select In-Context Demonstration Preferred by Large Language Model ACL 2025 VidTwin: Video VAE with Decoupled Structure and Dynamics CVPR 2025 From Elements to Design: A Layered Approach for Automatic Graphic Design Composition CVPR 2025 Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data Generation IJCNLP 2025 GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework IJCAI 2025 DPO Meets PPO: Reinforced Token Optimization for RLHF ICML 2025 Policy Filtration for RLHF to Mitigate Noise in Reward Models ICML 2025 CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing ICML 2025 Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models ICML 2025 From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning ICML 2025 AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence ICML 2025 BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling ICML 2025 MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model ICLR 2025 MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation ICLR 2025 FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models ICLR 2025 Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning ICLR 2025 FlashMask: Efficient and Rich Mask Extension of FlashAttention ICLR 2025 InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation AAAI 2025 TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts AAAI 2025 Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities AAAI 2025 BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models AAAI 2025 Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data Generation AACL 2025 XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications AAAI 2025 Regeneration Learning: A Learning Paradigm for Data Generation AAAI 2024 Protecting Your LLMs with Information Bottleneck NIPS 2024 ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NIPS 2024 BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning NIPS 2024 ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer NIPS 2024 Compositional 3D-aware Video Generation with LLM Director NIPS 2024 Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL ACL 2024 Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training ACL 2024 UF-HOBI at “Discharge Me!”: A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models ACL 2024 Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding COLING 2024 End-to-End Rate-Distortion Optimized 3D Gaussian Representation ECCV 2024 Whittle Index with Multiple Actions and State Constraint for Inventory Management ICLR 2024 GAIA: Zero-shot Talking Avatar Generation ICLR 2024 NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers ICLR 2024 Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers ICLR 2024 MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process ICLR 2024 BatteryML: An Open-source Platform for Machine Learning on Battery Degradation ICLR 2024 PromptTTS 2: Describing and Generating Voices with Text Prompt ICLR 2024 NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models ICML 2024 Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems ICML 2024 UniAudio: Towards Universal Audio Generation with Large Language Models ICML 2024 Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024 GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract) IJCAI 2024 Empowering Diffusion Models on the Embedding Space for Text Generation NAACL 2024 Robust Situational Reinforcement Learning in Face of Context Disturbances ICML 2023 On the Impact of Cross-Domain Data on German Language Models EMNLP 2023 Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping ICLR 2023 On the Generalization Properties of Diffusion Models NIPS 2023 MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models EMNLP 2023 Fair Graph Distillation NIPS 2023 Distributional Pareto-Optimal Multi-Objective Reinforcement Learning NIPS 2023 Learning Physics-Informed Neural Networks without Stacked Back-propagation AISTATS 2023 AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models NIPS 2023 VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing AAAI 2023 H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem AAAI 2023 Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem AAAI 2023 Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features AAAI 2023 HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details ICCV 2023 DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation AAAI 2022 KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings COLING 2022 Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble IJCAI 2022 DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting ICLR 2022 Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations NIPS 2022 Universal Trading for Order Execution with Oracle Policy Distillation AAAI 2021 MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks IJCAI 2021 Independence-aware Advantage Estimation IJCAI 2021 Revisiting the Evaluation of End-to-end Event Extraction ACL 2021 Revisiting the Evaluation of End-to-end Event Extraction IJCNLP 2021 Learning to Reweight with Deep Interactions AAAI 2021 Invertible Image Rescaling ECCV 2020 Light Multi-Segment Activation for Model Compression AAAI 2020 MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler NIPS 2020 Unified Policy Optimization for Robust Reinforcement Learning ACML 2019 Fully Parameterized Quantile Function for Distributional Reinforcement Learning NIPS 2019 Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction IJCNLP 2019 Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction EMNLP 2019 Trust Region Evolution Strategies AAAI 2019 SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019 De-biasing Covariance-Regularized Discriminant Analysis IJCAI 2018 Dual Inference for Machine Learning IJCAI 2017 Dual Supervised Learning ICML 2017 Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding EMNLP 2016 A Probabilistic Model for Learning Multi-Prototype Word Embeddings COLING 2014 Co-learning of Word Representations and Morpheme Representations COLING 2014