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Conferences
Zhenguo Li
60 papers at tracked venues · 49 at CORE A* · active 2024–2026
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Venues
ICLR
×17
NeurIPS
×10
CVPR
×8
ACL
×5
ECCV
×4
EMNLP
×3
ICCV
×3
ICML
×3
AAAI
×2
NAACL
×2
WACV
×2
ACM MM
×1
Frequent coauthors
Ruiyuan Gao
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Kai Chen
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Jiacheng Ye
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Chuanyang Zheng
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×3
Yingji Zhong
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×2
Yao Teng
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Yunhao Gou
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×2
Zhili Liu
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Haiming Wang
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Junsong Chen
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Yihong Luo
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Xiao-Wen Yang
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Papers
Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views
AAAI 2026
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Yingji Zhong
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MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes
WACV 2026
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Ruiyuan Gao
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Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
ICLR 2025
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Yao Teng
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Adding Additional Control to One-Step Diffusion with Joint Distribution Matching
ICCV 2025
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Yihong Luo
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Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases
WACV 2025
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Kai Chen
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Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
ICLR 2025
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Jiacheng Ye
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CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search
ICLR 2025
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Xiao-Wen Yang
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Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning
EMNLP 2025
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Yunhao Gou
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DAPE V2: Process Attention Score as Feature Map for Length Extrapolation
ACL 2025
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Chuanyang Zheng
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EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
CVPR 2025
·
Kai Chen
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FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities
NeurIPS 2025
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Jin Wang
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Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration
ICLR 2025
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Qintong Li
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G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
ICLR 2025
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Jiahui Gao
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Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data
NAACL 2025
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Haonan Wang
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How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
ACL 2025
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Yixin Ou
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How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs
ACL 2025
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Guhao Feng
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Implicit Search via Discrete Diffusion: A Study on Chess
ICLR 2025
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Jiacheng Ye
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Improved Diffusion-based Generative Model with Better Adversarial Robustness
ICLR 2025
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Zekun Wang
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Jailbreaking as a Reward Misspecification Problem
ICLR 2025
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Zhihui Xie
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LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation
ICCV 2025
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Jiahao Wang
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MESH - Understanding Videos Like Human: Measuring Hallucinations in Large Video Models
ACM MM 2025
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Garry Yang
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MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control
ICCV 2025
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Ruiyuan Gao
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Masked Diffusion Models as Energy Minimization
NeurIPS 2025
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Sitong Chen
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Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment
ACL 2025
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Zhili Liu
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Multi-Objective One-Shot Pruning for Large Language Models
NeurIPS 2025
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Weiyu Chen
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ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis
ICML 2025
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Haoxiong Liu
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Self-Adjust Softmax
EMNLP 2025
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Chuanyang Zheng
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SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator
ICML 2025
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Guoxuan Chen
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Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation
NeurIPS 2025
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Yao Teng
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SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian Splatting
CVPR 2025
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Kaichen Zhou
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T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation
CVPR 2025
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Kaiyue Sun
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Understanding the Language Model to Solve the Symbolic Multi-Step Reasoning Problem from the Perspective of Buffer Mechanism
EMNLP 2025
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Zhiwei Wang
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Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
ICLR 2025
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Jingyang Ou
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ATG: Benchmarking Automated Theorem Generation for Generative Language Models
NAACL 2024
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Xiaohan Lin
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Accelerating Diffusion Sampling with Optimized Time Steps
CVPR 2024
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Shuchen Xue
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CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs
CVPR 2024
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Yingji Zhong
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DAPE: Data-Adaptive Positional Encoding for Length Extrapolation
NeurIPS 2024
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Chuanyang Zheng
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DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving
AAAI 2024
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Tianqi Wang
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DetCLIPv3: Towards Versatile Generative Open-Vocabulary Object Detection
CVPR 2024
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Lewei Yao
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DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
CVPR 2024
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Yibo Wang
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Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
NeurIPS 2024
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Jiacheng Ye
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Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
NeurIPS 2024
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Kaican Li
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Enhancing the Power of OOD Detection via Sample-Aware Model Selection
CVPR 2024
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Feng Xue
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Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation
ECCV 2024
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Yunhao Gou
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Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation
ECCV 2024
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Shentong Mo
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Forward-Backward Reasoning in Large Language Models for Mathematical Verification
ACL 2024
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Weisen Jiang
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Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
ICLR 2024
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Kai Chen
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GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing
NeurIPS 2024
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Zhenyu Wang
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GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation
ICLR 2024
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Kai Chen
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Implicit Concept Removal of Diffusion Models
ECCV 2024
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Zhili Liu
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LEGO-Prover: Neural Theorem Proving with Growing Libraries
ICLR 2024
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Haiming Wang
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Large Language Models as Automated Aligners for benchmarking Vision-Language Models
ICLR 2024
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Yuanfeng Ji
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MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
ICLR 2024
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Yinya Huang
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MagicDrive: Street View Generation with Diverse 3D Geometry Control
ICLR 2024
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Ruiyuan Gao
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MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
ICLR 2024
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Longhui Yu
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PIXART-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
ECCV 2024
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Junsong Chen
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PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
ICLR 2024
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Junsong Chen
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Proving Theorems Recursively
NeurIPS 2024
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Haiming Wang
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The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
ICML 2024
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Jiajun Ma
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Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model
NeurIPS 2024
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Mingyang Yi
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