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2020 – today
- 2025
[j5]Hui Shen, Jingxuan Zhang, Boning Xiong, Rui Hu, Shoufa Chen, Zhongwei Wan, Xin Wang, Yu Zhang, Zixuan Gong, Guangyin Bao, Chaofan Tao, Yongfeng Huang, Ye Yuan, Mi Zhang:
Efficient Diffusion Models: A Survey. Trans. Mach. Learn. Res. 2025 (2025)- [j4]Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong:
Autoregressive Models in Vision: A Survey. Trans. Mach. Learn. Res. 2025 (2025) - [c20]Zhihong Zhu, Yunyan Zhang, Xianwei Zhuang, Fan Zhang, Zhongwei Wan, Yuyan Chen, Qingqing Long, Yefeng Zheng, Xian Wu:
Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models. ACL (Findings) 2025: 6748-6769 - [c19]Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Jing Xiong, Rossella Arcucci, Huaxiu Yao, Mi Zhang:
MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation. ACL (Findings) 2025: 14510-14527 - [c18]Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Nikolay Burlutskiy, Fariba Yousefi, Rossella Arcucci:
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? ACL (Findings) 2025: 16401-16421 - [c17]Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci:
Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation. ACL (Findings) 2025: 16448-16460 - [c16]Jinfa Huang, Jinsheng Pan, Zhongwei Wan, Hanjia Lyu, Jiebo Luo:
Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection. COLING 2025: 7321-7330 - [c15]Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang:
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression. ICLR 2025 - [c14]Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Longyue Wang, Mi Zhang:
D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models. ICLR 2025 - [c13]Jing Xiong, Jianghan Shen, Chuanyang Zheng, Zhongwei Wan, Chenyang Zhao, Chiwun Yang, Fanghua Ye, Hongxia Yang, Lingpeng Kong, Ngai Wong:
ParallelComp: Parallel Long-Context Compressor for Length Extrapolation. ICML 2025 - [c12]Zhongwei Wan, Hui Shen, Xin Wang, Che Liu, Zheda Mai, Mi Zhang:
MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference. NAACL (Long Papers) 2025: 2485-2497 - [c11]Xin Wang, Samiul Alam, Zhongwei Wan, Hui Shen, Mi Zhang:
SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression. NAACL (Long Papers) 2025: 4287-4296 - [i44]Hui Shen, Jingxuan Zhang, Boning Xiong, Rui Hu, Shoufa Chen, Zhongwei Wan, Xin Wang, Yu Zhang, Zixuan Gong, Guangyin Bao, Chaofan Tao, Yongfeng Huang, Ye Yuan, Mi Zhang:
Efficient Diffusion Models: A Survey. CoRR abs/2502.06805 (2025) - [i43]Jing Xiong, Jianghan Shen, Chuanyang Zheng, Zhongwei Wan, Chenyang Zhao, Chiwun Yang, Fanghua Ye, Hongxia Yang, Lingpeng Kong, Ngai Wong
:
ParallelComp: Parallel Long-Context Compressor for Length Extrapolation. CoRR abs/2502.14317 (2025) - [i42]Simin Chen, Yiming Chen, Zexin Li, Yifan Jiang, Zhongwei Wan, Yixin He, Dezhi Ran, Tianle Gu, Haizhou Li, Tao Xie, Baishakhi Ray:
Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation. CoRR abs/2502.17521 (2025) - [i41]Zhongwei Wan, Hui Shen, Xin Wang, Che Liu, Zheda Mai, Mi Zhang:
MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference. CoRR abs/2502.17599 (2025) - [i40]Che Liu, Cheng Ouyang, Zhongwei Wan, Haozhe Wang, Wenjia Bai, Rossella Arcucci:
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. CoRR abs/2502.17900 (2025) - [i39]Xin Wang, Samiul Alam, Zhongwei Wan, Hui Shen, Mi Zhang:
SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression. CoRR abs/2503.12340 (2025) - [i38]Hui Shen, Taiqiang Wu, Qi Han, Yunta Hsieh, Jizhou Wang, Yuyue Zhang, Yuxin Cheng, Zijian Hao, Yuansheng Ni, Xin Wang, Zhongwei Wan, Kai Zhang, Wendong Xu, Jing Xiong, Ping Luo, Wenhu Chen, Chaofan Tao, Zhuoqing Mao, Ngai Wong:
PhyX: Does Your Model Have the "Wits" for Physical Reasoning? CoRR abs/2505.15929 (2025) - [i37]Che Liu, Haozhe Wang, Jiazhen Pan, Zhongwei Wan, Yong Dai, Fangzhen Lin, Wenjia Bai, Daniel Rueckert, Rossella Arcucci:
Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL. CoRR abs/2505.17952 (2025) - [i36]Yu Zhang, Jialei Zhou, Xinchen Li, Qi Zhang, Zhongwei Wan, Tianyu Wang, Duoqian Miao, Changwei Wang, Longbing Cao:
Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning. CoRR abs/2505.19261 (2025) - [i35]Wendong Xu, Jing Xiong, Chenyang Zhao, Qiujiang Chen, Haoran Wang, Hui Shen, Zhongwei Wan, Jianbo Dai, Taiqiang Wu, He Xiao, Chaofan Tao, Z. Morley Mao, Ying Sheng, Zhijiang Guo, Hongxia Yang, Bei Yu, Lingpeng Kong, Quanquan Gu, Ngai Wong:
SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving. CoRR abs/2505.23932 (2025) - [i34]Zhongwei Wan, Zhihao Dou, Che Liu, Yu Zhang, Dongfei Cui, Qinjian Zhao, Hui Shen, Jing Xiong, Yi Xin, Yifan Jiang, Chaofan Tao, Yangfan He, Mi Zhang, Shen Yan:
SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning. CoRR abs/2506.01713 (2025) - [i33]Alex ZH Dou, Zhongwei Wan, Dongfei Cui, Xin Wang, Jing Xiong, Haokun Lin, Chaofan Tao, Shen Yan, Mi Zhang:
Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS. CoRR abs/2507.05557 (2025) - [i32]Jianhui Wang, Yinda Chen, Yangfan He, Xinyuan Song, Yi Xin, Dapeng Zhang, Zhongwei Wan, Bin Li, Rongchao Zhang:
Low-Cost Test-Time Adaptation for Robust Video Editing. CoRR abs/2507.21858 (2025) - [i31]Weichu Liu, Jing Xiong, Yuxuan Hu, Zixuan Li, Minghuan Tan, Ningning Mao, Chenyang Zhao, Zhongwei Wan, Chaofan Tao, Wendong Xu, Hui Shen, Chengming Li, Lingpeng Kong, Ngai Wong:
LongEmotion: Measuring Emotional Intelligence of Large Language Models in Long-Context Interaction. CoRR abs/2509.07403 (2025) - [i30]Jing Xiong, Qiujiang Chen, Fanghua Ye, Zhongwei Wan, Chuanyang Zheng, Chenyang Zhao, Hui Shen, Alexander Hanbo Li, Chaofan Tao, Haochen Tan, Haoli Bai, Lifeng Shang, Lingpeng Kong, Ngai Wong:
ATTS: Asynchronous Test-Time Scaling via Conformal Prediction. CoRR abs/2509.15148 (2025) - [i29]Zhihao Dou, Qinjian Zhao, Zhongwei Wan, Dinggen Zhang, Weida Wang, Towsif Raiyan, Benteng Chen, Qingtao Pan, Yang Ouyang, Zhiqiang Gao, Shufei Zhang, Sumon Biswas:
Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning. CoRR abs/2510.01833 (2025) - [i28]Shujun Xia, Haokun Lin, Yichen Wu, Yinan Zhou, Zixuan Li, Zhongwei Wan, Xingrun Xing, Yefeng Zheng, Xiang Li, Caifeng Shan, Zhenan Sun, Quanzheng Li:
MedREK: Retrieval-Based Editing for Medical LLMs with Key-Aware Prompts. CoRR abs/2510.13500 (2025) - 2024
- [j3]Xin Wang, Zhongwei Wan, Arvin Hekmati, Mingyu Zong, Samiul Alam, Mi Zhang, Bhaskar Krishnamachari:
The Internet of Things in the Era of Generative AI: Vision and Challenges. IEEE Internet Comput. 28(5): 57-64 (2024) - [j2]Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang:
Efficient Large Language Models: A Survey. Trans. Mach. Learn. Res. 2024 (2024) - [j1]Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang:
Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation. ACM Trans. Inf. Syst. 42(2): 58:1-58:26 (2024) - [c10]Hui Shen, Zhongwei Wan, Xin Wang, Mi Zhang:
Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion. ECCV Workshops (11) 2024: 268-278 - [c9]Zhihong Zhu, Kefan Shen, Zhaorun Chen, Yunyan Zhang, Yuyan Chen, Xiaoqi Jiao, Zhongwei Wan, Shaorong Xie, Wei Liu, Xian Wu, Yefeng Zheng:
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection. EMNLP 2024: 2900-2912 - [c8]Zhongwei Wan, Ziang Wu, Che Liu, Jinfa Huang, Zhihong Zhu, Peng Jin, Longyue Wang, Li Yuan:
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference. EMNLP (Findings) 2024: 4065-4078 - [c7]Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci:
ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. ICASSP 2024: 8230-8234 - [c6]Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci:
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. ICML 2024 - [c5]Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang:
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction. NeurIPS 2024 - [c4]Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong:
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies. NeurIPS 2024 - [c3]Yi Xin, Siqi Luo, Xuyang Liu, Yuntao Du, Haodi Zhou, Xinyu Cheng, Christina E. Lee, Junlong Du, Haozhe Wang, Mingcai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu:
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. NeurIPS 2024 - [i27]Xin Wang, Zhongwei Wan, Arvin Hekmati, Mingyu Zong, Samiul Alam, Mi Zhang, Bhaskar Krishnamachari:
IoT in the Era of Generative AI: Vision and Challenges. CoRR abs/2401.01923 (2024) - [i26]Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang:
Electrocardiogram Instruction Tuning for Report Generation. CoRR abs/2403.04945 (2024) - [i25]Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci:
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. CoRR abs/2403.06659 (2024) - [i24]Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang:
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression. CoRR abs/2403.07378 (2024) - [i23]Kangyu Zheng, Yingzhou Lu, Zaixi Zhang, Zhongwei Wan, Yao Ma, Marinka Zitnik, Tianfan Fu:
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate? CoRR abs/2406.03403 (2024) - [i22]Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci:
Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images. CoRR abs/2406.07146 (2024) - [i21]Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Mi Zhang:
D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models. CoRR abs/2406.13035 (2024) - [i20]Zhongwei Wan, Ziang Wu, Che Liu, Jinfa Huang, Zhihong Zhu, Peng Jin, Longyue Wang, Li Yuan:
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference. CoRR abs/2406.18139 (2024) - [i19]Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong:
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies. CoRR abs/2407.13623 (2024) - [i18]Jinfa Huang, Jinsheng Pan, Zhongwei Wan, Hanjia Lyu, Jiebo Luo:
Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection. CoRR abs/2407.21004 (2024) - [i17]Siqi Luo, Yi Xin, Yuntao Du, Zhongwei Wan, Tao Tan, Guangtao Zhai, Xiaohong Liu:
Enhancing Test Time Adaptation with Few-shot Guidance. CoRR abs/2409.01341 (2024) - [i16]Hui Shen, Zhongwei Wan, Xin Wang, Mi Zhang:
Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion. CoRR abs/2409.09808 (2024) - [i15]Zixuan Li, Jing Xiong, Fanghua Ye, Chuanyang Zheng, Xun Wu, Jianqiao Lu, Zhongwei Wan, Xiaodan Liang, Chengming Li, Zhenan Sun, Lingpeng Kong, Ngai Wong:
UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation. CoRR abs/2410.02719 (2024) - [i14]Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Lingpeng Kong, Ngai Wong:
UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference. CoRR abs/2410.03090 (2024) - [i13]Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Fariba Yousefi, Nikolay Burlutskiy, Rossella Arcucci:
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? CoRR abs/2410.13523 (2024) - [i12]Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang:
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction. CoRR abs/2410.19452 (2024) - [i11]Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong:
Autoregressive Models in Vision: A Survey. CoRR abs/2411.05902 (2024) - [i10]Canyu Chen, Jian Yu, Shan Chen, Che Liu, Zhongwei Wan, Danielle S. Bitterman, Fei Wang, Kai Shu:
ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction? CoRR abs/2411.06469 (2024) - 2023
- [c2]Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci:
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. NeurIPS 2023 - [i9]Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci:
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. CoRR abs/2305.19894 (2023) - [i8]Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci:
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training. CoRR abs/2309.07145 (2023) - [i7]Zhongwei Wan:
Text Classification: A Perspective of Deep Learning Methods. CoRR abs/2309.13761 (2023) - [i6]Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang:
Efficient Large Language Models: A Survey. CoRR abs/2312.03863 (2023) - 2022
- [c1]Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu:
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. EMNLP 2022: 6585-6597 - [i5]Zhongwei Wan, Benyou Wang, Xin Liu, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang:
Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation. CoRR abs/2209.11461 (2022) - [i4]Jing Xiong, Zhongwei Wan, Xiping Hu, Min Yang, Chengming Li:
Self-consistent Reasoning For Solving Math Word Problems. CoRR abs/2210.15373 (2022) - [i3]Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu:
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. CoRR abs/2212.03613 (2022) - 2020
- [i2]Zhenyu Liang, Yunfan Li, Zhongwei Wan:
Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks. CoRR abs/2003.07013 (2020) - [i1]Zhenyu Liang, Yunfan Li, Zhongwei Wan:
Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP. CoRR abs/2003.08295 (2020)
Coauthor Index
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