BDDS: An Efficient Data Screening Algorithm Based on Binary Digit. - Haowei Lin; Xiaolong Xu 002 (CyberC, 2018)

Mutation Relation Extraction and Genes Network Analysis in Colon Cancer. - Yinan Lu; Xiaoxin Guo; Hangyu Pan; Haowei Lin (ICSAI, 2018)

An Adaptive Flow Table Adjustment Algorithm for SDN. - Xiaolong Xu 002; Liuyun Hu; Haowei Lin; Zexuan Fan (HPCC/SmartCity/DSS, 2019)

Local Near-Optimal Control for Interconnected Systems with Time-Varying Delays. - Qiuye Wu; Haowei Lin; Bo Zhao 015; Derong Liu 001 (ICONIP (2), 2019)

Energy Consumption of IT System in Cloud Data Center: Architecture, Factors and Prediction. - Haowei Lin; Xiaolong Xu 002; Xinheng Wang 001 (NPC, 2019)

Dynamic service migration in ultra-dense multi-access edge computing network for high-mobility scenarios. - Haowei Lin; Xiaolong Xu 002; Juan Zhao 002; Xinheng Wang 001 (EURASIP J. Wirel. Commun. Netw., 2020)

Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks. - Haowei Lin; Bo Zhao 015; Derong Liu 001; Cesare Alippi (IEEE CAA J. Autom. Sinica, 2020)

Particle swarm optimized neural networks based local tracking control scheme of unknown nonlinear interconnected systems. - Bo Zhao 015; Fangchao Luo; Haowei Lin; Derong Liu 001 (Neural Networks, 2021)

Continual Training of Language Models for Few-Shot Learning. - Zixuan Ke; Haowei Lin; Yijia Shao; Hu Xu 001; Lei Shu 004; Bing Liu 001 (EMNLP, 2022)

Adapting a Language Model While Preserving its General Knowledge. - Zixuan Ke; Yijia Shao; Haowei Lin; Hu Xu 001; Lei Shu 004; Bing Liu 001 (EMNLP, 2022)

CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection. - Mengyu Wang 002; Yijia Shao; Haowei Lin; Wenpeng Hu; Bing Liu 001 (ECML/PKDD (4), 2022)

FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score. - Haowei Lin; Yuntian Gu (EMNLP, 2023)

Continual Pre-training of Language Models. - Zixuan Ke; Yijia Shao; Haowei Lin; Tatsuya Konishi; Gyuhak Kim; Bing Liu 001 (ICLR, 2023)

Continual Learning of Language Models. - Zixuan Ke; Yijia Shao; Haowei Lin; Tatsuya Konishi; Gyuhak Kim; Bing Liu 001 (CoRR, 2023)

MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft. - Haowei Lin; Zihao Wang; Jianzhu Ma; Yitao Liang (CoRR, 2023)

Class Incremental Learning via Likelihood Ratio Based Task Prediction. - Haowei Lin; Yijia Shao; Weinan Qian; Ningxin Pan; Yiduo Guo; Bing Liu 001 (ICLR, 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 001; James Zou 001; Yitao Liang (ICML, 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 003; Anji Liu; Xiaojian (Shawn) Ma; Yitao Liang (NeurIPS, 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 (NeurIPS, 2024)

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation. - Zihao Wang; Anji Liu; Haowei Lin; Jiaqi Li; Xiaojian Ma 001; Yitao Liang (CoRR, 2024)

CLoG: Benchmarking Continual Learning of Image Generation Models. - Haotian Zhang; Junting Zhou; Haowei Lin; Hang Ye 002; Jianhua Zhu; Zihao Wang; Liangcai Gao; Yizhou Wang 001; Yitao Liang (CoRR, 2024)

Optimizing Latent Goal by Learning from Trajectory Preference. - Guangyu Zhao; Kewei Lian; Haowei Lin; Haobo Fu; Qiang Fu 016; Shaofei Cai; Zihao Wang; Yitao Liang (CoRR, 2024)

GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents. - Shaofei Cai; Bowei Zhang 007; Zihao Wang; Haowei Lin; Xiaojian Ma 001; Anji Liu; Yitao Liang (CoRR, 2024)

Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models. - Haotian Ye; Himanshu Jain; Chong You; Ananda Theertha Suresh; Haowei Lin; James Zou 001; Felix X. Yu (AISTATS, 2025)

GROOT-2: Weakly Supervised Multimodal Instruction Following Agents. - Shaofei Cai; Bowei Zhang 007; Zihao Wang; Haowei Lin; Xiaojian Ma 001; Anji Liu; Yitao Liang (ICLR, 2025)

TFG-Flow: Training-free Guidance in Multimodal Generative Flow. - Haowei Lin; Shanda Li; Haotian Ye; Yiming Yang; Stefano Ermon; Yitao Liang; Jianzhu Ma (ICLR, 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 (ICLR, 2025)

Neuro-dynamic programming-based event-triggered fault tolerant control for nonlinear systems with multiple faults. - Haowei Lin; Weifeng Su; Runlin Huang; Bo Zhao 015; Jing Zhao; Wentao Fan (Neural Networks, 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, 2025)

Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens. - Shuqi Lu; Haowei Lin; Lin Yao 003; Zhifeng Gao; Xiaohong Ji; Weinan E; Linfeng Zhang 002; Guolin Ke (CoRR, 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 007; Haowei Lin; Zhaofeng He; Zilong Zheng; Yaodong Yang 001; Xiaojian Ma 001; Yitao Liang (IEEE Trans. Pattern Anal. Mach. Intell., 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 001; Jianzhu Ma; Yitao Liang (CoRR, 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, 2025)

EvoSLD: Automated Neural Scaling Law Discovery With Large Language Models. - Haowei Lin; Xiangyu Wang; Jianzhu Ma; Yitao Liang (CoRR, 2025)