Haowei Lin

According to our database, Haowei Lin authored at least 34 papers between 2018 and 2025.

Collaborative distances:

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

2025

EvoSLD: Automated Neural Scaling Law Discovery With Large Language Models.

Haowei Lin, Xiangyu Wang, Jianzhu Ma, Yitao Liang

CoRR, July, 2025

Inference-time Scaling of Diffusion Models through Classical Search.

Xiangcheng Zhang, Haowei Lin, Haotian Ye, James Y. Zou, Jianzhu Ma, Yitao Liang, Yilun Du

CoRR, May, 2025

Generative Evaluation of Complex Reasoning in Large Language Models.

Haowei Lin, Xiangyu Wang, Ruilin Yan, Baizhou Huang, Haotian Ye, Jianhua Zhu, Zihao Wang, James Zou, Jianzhu Ma, Yitao Liang

CoRR, April, 2025

JARVIS-1: Open-World Multi-Task Agents With Memory-Augmented Multimodal Language Models.

Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens.

Shuqi Lu, Haowei Lin, Lin Yao, Zhifeng Gao, Xiaohong Ji, Weinan E, Linfeng Zhang, Guolin Ke

CoRR, March, 2025

A Neural Symbolic Model for Space Physics.

Jie Ying, Haowei Lin, Chao Yue, Yajie Chen, Chao Xiao, Quanqi Shi, Yitao Liang, Shing-Tung Yau, Yuan Zhou, Jianzhu Ma

CoRR, March, 2025

Neuro-dynamic programming-based event-triggered fault tolerant control for nonlinear systems with multiple faults.

Haowei Lin, Weifeng Su, Runlin Huang, Bo Zhao, Jing Zhao, Wentao Fan

Neural Networks, 2025

Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows.

Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TFG-Flow: Training-free Guidance in Multimodal Generative Flow.

Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GROOT-2: Weakly Supervised Multimodal Instruction Following Agents.

Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models.

Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix X. Yu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents.

Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang

CoRR, 2024

Optimizing Latent Goal by Learning from Trajectory Preference.

Guangyu Zhao, Kewei Lian, Haowei Lin, Haobo Fu, Qiang Fu, Shaofei Cai, Zihao Wang, Yitao Liang

CoRR, 2024

CLoG: Benchmarking Continual Learning of Image Generation Models.

Haotian Zhang, Junting Zhou, Haowei Lin, Hang Ye, Jianhua Zhu, Zihao Wang, Liangcai Gao, Yizhou Wang, Yitao Liang

CoRR, 2024

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation.

Zihao Wang, Anji Liu, Haowei Lin, Jiaqi Li, Xiaojian Ma, Yitao Liang

CoRR, 2024

TFG: Unified Training-Free Guidance for Diffusion Models.

Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Y. Zou, Stefano Ermon

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

OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents.

Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian (Shawn) Ma, Yitao Liang

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

Selecting Large Language Model to Fine-tune via Rectified Scaling Law.

Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang

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

Class Incremental Learning via Likelihood Ratio Based Task Prediction.

Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft.

Haowei Lin, Zihao Wang, Jianzhu Ma, Yitao Liang

CoRR, 2023

Continual Learning of Language Models.

Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

CoRR, 2023

Continual Pre-training of Language Models.

Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score.

Haowei Lin, Yuntian Gu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection.

Mengyu Wang, Yijia Shao, Haowei Lin, Wenpeng Hu, Bing Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Adapting a Language Model While Preserving its General Knowledge.

Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Continual Training of Language Models for Few-Shot Learning.

Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Particle swarm optimized neural networks based local tracking control scheme of unknown nonlinear interconnected systems.

Bo Zhao, Fangchao Luo, Haowei Lin, Derong Liu

Neural Networks, 2021

2020

Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks.

Haowei Lin, Bo Zhao, Derong Liu, Cesare Alippi

IEEE CAA J. Autom. Sinica, 2020

Dynamic service migration in ultra-dense multi-access edge computing network for high-mobility scenarios.

Haowei Lin, Xiaolong Xu, Juan Zhao, Xinheng Wang

EURASIP J. Wirel. Commun. Netw., 2020

2019

Energy Consumption of IT System in Cloud Data Center: Architecture, Factors and Prediction.

Haowei Lin, Xiaolong Xu, Xinheng Wang

Proceedings of the Network and Parallel Computing, 2019

Local Near-Optimal Control for Interconnected Systems with Time-Varying Delays.

Qiuye Wu, Haowei Lin, Bo Zhao, Derong Liu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

An Adaptive Flow Table Adjustment Algorithm for SDN.

Xiaolong Xu, Liuyun Hu, Haowei Lin, Zexuan Fan

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

Mutation Relation Extraction and Genes Network Analysis in Colon Cancer.

Yinan Lu, Xiaoxin Guo, Hangyu Pan, Haowei Lin

Proceedings of the 5th International Conference on Systems and Informatics, 2018

BDDS: An Efficient Data Screening Algorithm Based on Binary Digit.

Haowei Lin, Xiaolong Xu

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2018