Yang Li

According to our database, Yang Li authored at least 16 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Rethinking Video Tokenization: A Conditioned Diffusion-based Approach.

Nianzu Yang, Pandeng Li, Liming Zhao, Yang Li, Chen-Wei Xie, Yehui Tang, Xudong Lu, Zhihang Liu, Yun Zheng, Yu Liu, Junchi Yan

CoRR, March, 2025

UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP.

Wenzheng Pan, Hao Xiong, Jiale Ma, Wentao Zhao, Yang Li, Junchi Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search.

Yang Li, Jiale Ma, Wenzheng Pan, Runzhong Wang, Haoyu Geng, Nianzu Yang, Junchi Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks.

Runzhong Wang, Yang Li, Junchi Yan, Xiaokang Yang

CoRR, 2024

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.

Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao

CoRR, 2024

Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation.

Xinhao Zheng, Yang Li, Cunxin Fan, Huaijin Wu, Xinhao Song, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization.

Yang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime.

Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation.

Ziao Guo, Yang Li, Chang Liu, Wenli Ouyang, Junchi Yan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MixSATGEN: Learning Graph Mixing for SAT Instance Generation.

Xinyan Chen, Yang Li, Runzhong Wang, Junchi Yan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems.

Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan

CoRR, 2023

From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization.

Yang Li, Jinpei Guo, Runzhong Wang, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline.

Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse.

Yang Li, Liangliang Shi, Junchi Yan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Improving Generative Adversarial Networks via Adversarial Learning in Latent Space.

Yang Li, Yichuan Mo, Liangliang Shi, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design.

Ruoyu Cheng, Xianglong Lyu, Yang Li, Junjie Ye, Jianye Hao, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022