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Conferences
Di Huang
31 papers at tracked venues · 28 at CORE A* · active 2024–2026
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Venues
AAAI
×9
NeurIPS
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ICLR
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ACL
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ECCV
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CVPR
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ACM MM
×1
ICCV
×1
ICML
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WWW
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Frequent coauthors
Xiaoyun Zhang
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Yutong Wu
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Honghui Yang
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Junyi Chen
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Lei Huang
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Changxin Ke
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Ziyuan Nan
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Yu Zhong
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Xiangyuan Xue
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Xi Cheng
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Heming Zhang
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Yiwen Chen
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Papers
QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression
AAAI 2026
·
Lei Huang
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QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization
ACL 2026
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Changxin Ke
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Revisiting Entropy Regularization: Adaptive Coefficient Unlocks Its Potential for LLM Reinforcement Learning
ACL 2026
·
Xiaoyun Zhang
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Rhombus: Incentivizing Coordination in Parallel Thinking through Reinforcement Learning
ACL 2026
·
Ziyuan Nan
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Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation
AAAI 2026
·
Yu Zhong
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Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions
AAAI 2026
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Xiaoyun Zhang
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StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs Through Knowledge-Reasoning Fusion
AAAI 2026
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Yutong Wu
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ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems
CVPR 2025
·
Xiangyuan Xue
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Constraint-Aware Feature Learning for Parametric Point Cloud
ICCV 2025
·
Xi Cheng
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Depth Any Video with Scalable Synthetic Data
ICLR 2025
·
Honghui Yang
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GigaGS: 3D Gaussian Based Planar Representation for Large-Scene Surface Reconstruction
AAAI 2025
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Junyi Chen
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GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning
WWW 2025
·
Heming Zhang
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InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
AAAI 2025
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Yutong Wu
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MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers
ICLR 2025
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Yiwen Chen
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MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions
NeurIPS 2025
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Pucheng Dang
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ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction
ICLR 2025
·
Ziyu Tang
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QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation
NeurIPS 2025
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Yaoyu Zhu
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QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code
NeurIPS 2025
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Hainan Fang
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QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation
NeurIPS 2025
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Yang Zhang
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Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction
ICLR 2025
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Junyi Chen
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Agent3D-Zero: An Agent for Zero-Shot 3D Understanding
ECCV 2024
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Sha Zhang
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Emergent Communication for Numerical Concepts Generalization
AAAI 2024
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Enshuai Zhou
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FiT: Flexible Vision Transformer for Diffusion Model
ICML 2024
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Zeyu Lu
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Freehand Sketch Generation from Mechanical Components
ACM MM 2024
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Zhichao Liao
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GVGEN: Text-to-3D Generation with Volumetric Representation
ECCV 2024
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Xianglong He
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Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning
AAAI 2024
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Shaohui Peng
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MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators
AAAI 2024
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Yaqi Zhang
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NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction
NeurIPS 2024
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Yifan Wang
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Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
NeurIPS 2024
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Haoyi Zhu
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PredBench: Benchmarking Spatio-Temporal Prediction Across Diverse Disciplines
ECCV 2024
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Zidong Wang
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UniPAD: A Universal Pre-Training Paradigm for Autonomous Driving
CVPR 2024
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Honghui Yang
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