Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation. - Mingjie Li 006; Bingqian Lin; Zicong Chen; Haokun Lin; Xiaodan Liang; Xiaojun Chang (CVPR, 2023)

Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining. - Bingqian Lin; Zicong Chen; Mingjie Li 006; Haokun Lin; Hang Xu 004; Yi Zhu 004; Jianzhuang Liu; Wenjia Cai; Lei Yang; Shen Zhao; Chenfei Wu; Ling Chen 006; et al. (CoRR, 2023)

Research on Parameter Optimization Method of Sliding Mode Controller for the Grid-Connected Composite Device Based on IMFO Algorithm. - Ji Sun; Jiajun Liu; Miao Miao; Haokun Lin (Sensors, 2023)

Single Line-to-Ground Fault Type Multilevel Classification in Distribution Network Using Realistic Recorded Waveform. - Jiajun Liu; Chenjing Li; Yue Liu; Ji Sun; Haokun Lin (Sensors, 2023)

IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. - Ruikang Liu; Haoli Bai; Haokun Lin; Yuening Li; Han Gao; Zhengzhuo Xu; Lu Hou 002; Jun Yao; Chun Yuan (ACL (Findings), 2024)

MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric. - Haokun Lin; Haoli Bai; Zhili Liu; Lu Hou 002; Muyi Sun; Linqi Song; Ying Wei 001; Zhenan Sun (CVPR, 2024)

Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. - Mingjie Li 006; Haokun Lin; Liang Qiu; Xiaodan Liang; Ling Chen 006; Abdulmotaleb Elsaddik; Xiaojun Chang (ECCV (43), 2024)

MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? - Renrui Zhang; Dongzhi Jiang; Yichi Zhang; Haokun Lin; Ziyu Guo; Pengshuo Qiu; Aojun Zhou; Pan Lu; Kai-Wei Chang; Yu Qiao 001; Peng Gao 007; Hongsheng Li 001 (ECCV (8), 2024)

Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models. - Yingtao Zhang; Haoli Bai; Haokun Lin; Jialin Zhao 004; Lu Hou 002; Carlo Vittorio Cannistraci (ICLR, 2024)

DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs. - Haokun Lin; Haobo Xu; Yichen Wu; Jingzhi Cui; Yingtao Zhang; Linzhan Mou; Linqi Song; Zhenan Sun; Ying Wei 001 (NeurIPS, 2024)

Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs. - Sukmin Yun; Haokun Lin; Rusiru Thushara; Mohammad Qazim Bhat; Yongxin Wang; Zutao Jiang; Mingkai Deng; Jinhong Wang; Tianhua Tao; Junbo Li; Haonan Li 002; Preslav Nakov; et al. (NeurIPS, 2024)

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? - Renrui Zhang; Dongzhi Jiang; Yichi Zhang; Haokun Lin; Ziyu Guo; Pengshuo Qiu; Aojun Zhou; Pan Lu; Kai-Wei Chang; Peng Gao 007; Hongsheng Li 001 (CoRR, 2024)

Rotation and Permutation for Advanced Outlier Management and Efficient Quantization of LLMs. - Haokun Lin; Haobo Xu; Yichen Wu; Jingzhi Cui; Yingtao Zhang; Linzhan Mou; Linqi Song; Zhenan Sun; Ying Wei 001 (CoRR, 2024)

DOGE: Towards Versatile Visual Document Grounding and Referring. - Yinan Zhou; Yuxin Chen; Haokun Lin; Shuyu Yang; Li Zhu 003; Zhongang Qi; Chen Ma 001; Ying Shan (CoRR, 2024)

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation. - Yongxin Wang; Meng Cao; Haokun Lin; Mingfei Han 002; Liang Ma; Jin Jiang; Yuhao Cheng; Xiaodan Liang (CoRR, 2024)

Image-level Memorization Detection via Inversion-based Inference Perturbation. - Yue Jiang; Haokun Lin; Yang Bai; Bo Peng 002; Zhili Liu; Yueming Lyu; Yong Yang; Xing Zheng; Jing Dong 003 (ICLR, 2025)

EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models. - Xingrun Xing; Zheng Liu; Shitao Xiao; Boyan Gao; Yiming Liang; Wanpeng Zhang 002; Haokun Lin; Guoqi Li; Jiajun Zhang (CoRR, 2025)

Singular Value Fine-tuning for Few-Shot Class-Incremental Learning. - Zhiwu Wang; Yichen Wu; Renzhen Wang; Haokun Lin; Quanziang Wang; Qian Zhao 002; Deyu Meng (CoRR, 2025)

Scale Up Composed Image Retrieval Learning via Modification Text Generation. - Yinan Zhou; Yaxiong Wang; Haokun Lin; Chen Ma 001; Li Zhu 003; Zhedong Zheng (CoRR, 2025)

TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation. - Haokun Lin; Teng Wang; Yixiao Ge; Yuying Ge; Zhichao Lu; Ying Wei 001; Qingfu Zhang 001; Zhenan Sun; Ying Shan (CoRR, 2025)

PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly. - Liang Ma; Jiajun Wen 003; Min Lin; Rongtao Xu; Xiwen Liang; Bingqian Lin; Jun Ma; Yongxin Wang; Ziming Wei; Haokun Lin; Mingfei Han 002; Meng Cao; et al. (CoRR, 2025)

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS. - Alex ZH Dou; Zhongwei Wan; Dongfei Cui; Xin Wang 120; Jing Xiong; Haokun Lin; Chaofan Tao; Shen Yan; Mi Zhang 002 (CoRR, 2025)

LRQ-DiT: Log-Rotation Post-Training Quantization of Diffusion Transformers for Text-to-Image Generation. - Lianwei Yang; Haokun Lin; Tianchen Zhao; Yichen Wu; Hongyu Zhu; Ruiqi Xie; Zhenan Sun; Yu Wang; Qingyi Gu (CoRR, 2025)

Quantization Meets dLLMs: A Systematic Study of Post-training Quantization for Diffusion LLMs. - Haokun Lin; Haobo Xu; Yichen Wu; Ziyu Guo; Renrui Zhang; Zhichao Lu; Ying Wei 001; Qingfu Zhang 001; Zhenan Sun (CoRR, 2025)