← Authors

Jingren Zhou

71 papers · 2012–2025 · 15 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer πŸƒ Academic Marathon (13) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (15) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (5) πŸ—ΊοΈ Taxonomy Completionist (14) 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Grand Slam πŸ‘₯ Mega-Team (25) πŸ”¬ Deep Specialist (13) πŸ† Keyword Champion (4) πŸš€ Conference Pioneer ⚑ Prolific Year (11) πŸ—ƒοΈ Keyword Collector (273) πŸ’Ž Century Club (71) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter

Conferences

ACL (11) ICLR (11) ICML (10) NIPS (8) CVPR (7) EMNLP (6) NSDI (4) AAAI (3) ICCV (2) IJCNLP (2) NAACL (2) OSDI (2) COLING (1) IJCAI (1) INTERSPEECH (1)

Top co-authors

Deli Zhao (16) Junyang Lin (15) Chang Zhou (13) Yujun Shen (12) Fei Huang (10) Hongxia Yang (9) Bowen Yu (8) Ruili Feng (8) Keming Lu (8) Yu Liu (8)

Research topics

Core AI (1)

Keywords

large language model (9) model compression (6) image generation (6) diffusion model (5) image synthesis (4) image-text retrieval (4) contrastive learning (3) transfer learning (3) foundation model (3) multimodal learning (3) generative adversarial network (3) cross-modal retrieval (2) benchmark evaluation (2) multi-task learning (2) multi-modal learning (2) neural architecture search (2) instruction following (2) semantic segmentation (2) representation learning (2) image captioning (2)

Papers

ProcessBench: Identifying Process Errors in Mathematical Reasoning ACL 2025
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models ACL 2025
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding ACL 2025
Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models ACL 2025
The Lessons of Developing Process Reward Models in Mathematical Reasoning ACL 2025
FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point ACL 2025
AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations COLING 2025
Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development ICML 2025
GenSim: A General Social Simulation Platform with Large Language Model based Agents NAACL 2025
ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer ICLR 2025
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models ICLR 2025
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent ICLR 2025
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models ICLR 2025
P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs EMNLP 2025
RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing EMNLP 2025
Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference ICLR 2025
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models ICLR 2024
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion CVPR 2024
Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following CVPR 2024
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model EMNLP 2024
mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding EMNLP 2024
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition ACL 2024
Lipschitz Singularities in Diffusion Models ICLR 2024
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models NAACL 2024
AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension ACL 2024
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment ACL 2024
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism ICML 2024
Cones: Concept Neurons in Diffusion Models for Customized Generation ICML 2023
VideoComposer: Compositional Video Synthesis with Motion Controllability NIPS 2023
FaceComposer: A Unified Model for Versatile Facial Content Creation NIPS 2023
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone NIPS 2023
Customizable Image Synthesis with Multiple Subjects NIPS 2023
PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices AAAI 2023
RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training CVPR 2023
Neural Dependencies Emerging From Learning Massive Categories CVPR 2023
Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization CVPR 2023
Dimensionality-Varying Diffusion Process CVPR 2023
LipFormer: High-Fidelity and Generalizable Talking Face Generation With a Pre-Learned Facial Codebook CVPR 2023
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models EMNLP 2023
ViM: Vision Middleware for Unified Downstream Transferring ICCV 2023
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans ICCV 2023
Learned Index with Dynamic $\epsilon$ ICLR 2023
Composer: Creative and Controllable Image Synthesis with Composable Conditions ICML 2023
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video ICML 2023
RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation ICML 2023
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition INTERSPEECH 2023
Reliable Adversarial Distillation with Unreliable Teachers ICLR 2022
Principled Knowledge Extrapolation with GANs ICML 2022
iFlood: A Stable and Effective Regularizer ICLR 2022
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework ICML 2022
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections EMNLP 2022
GAIA: A System for Interactive Analysis on Distributed Graphs Using a High-Level Language NSDI 2021
Dynamic Memory based Attention Network for Sequential Recommendation AAAI 2021
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation ACL 2021
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis NIPS 2021
Learning Relation Alignment for Calibrated Cross-modal Retrieval ACL 2021
Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank AAAI 2021
Uncertainty Principles of Encoding GANs ICML 2021
Learning to Rehearse in Long Sequence Memorization ICML 2021
Learning Relation Alignment for Calibrated Cross-modal Retrieval IJCNLP 2021
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation IJCNLP 2021
Low-Rank Subspaces in GANs NIPS 2021
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search IJCAI 2020
Learning to Mutate with Hypergradient Guided Population NIPS 2020
Learning Efficient Parameter Server Synchronization Policies for Distributed SGD ICLR 2020
StreamScope: Continuous Reliable Distributed Processing of Big Data Streams NSDI 2016
Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing OSDI 2014
Large-scale L-BFGS using MapReduce NIPS 2014
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions NSDI 2012
Reoptimizing Data Parallel Computing NSDI 2012
Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE OSDI 2012