Jiang Bian

92 papers · 2014–2026 · 16 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (16) 🌈 Renaissance Researcher (5) 🗺️ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (11) 🐝 Cross-Pollinator (15) 🌉 Interdisciplinary Bridge 👥 Mega-Team (20) 🏆 Grand Slam 👑 Triple Crown 🤝 Dynamic Duo (16) 🗃️ Keyword Collector (316) ⚡ Prolific Year (6) 🚀 Conference Pioneer 💎 Century Club (91) 🔥 Unstoppable (10) 📈 Trend Setter

Conferences

AAAI (17) ICLR (15) ICML (13) NIPS (12) IJCAI (8) ACL (6) COLING (4) EMNLP (4) IJCNLP (3) CVPR (2) ECCV (2) NAACL (2) AACL (1) ACML (1) AISTATS (1) ICCV (1)

Top co-authors

Tie-yan Liu (16) Lei Song (16) Xu Tan (15) Li Zhao (14) Tao Qin (12) Shun Zheng (9) Weiqing Liu (9) Junliang Guo (9) Tianyu He (8) Sheng Zhao (8)

Keywords

diffusion model (7) large language model (5) reinforcement learning (5) neural network (4) named entity recognition (4) question answering (4) representation learning (3) transformer architecture (3) text generation (3) few-shot learning (3) generative model (3) graph neural network (3) machine translation (3) meta learning (2) document-level extraction (2) policy gradient (2) deep reinforcement learning (2) sentiment analysis (2) knowledge distillation (2) combinatorial optimization (2)

Papers

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