Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks. - Zhenyu Liang; Yunfan Li; Zhongwei Wan (CoRR, 2020)

Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP. - Zhenyu Liang; Yunfan Li; Zhongwei Wan (CoRR, 2020)

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. - Zhongwei Wan; Yichun Yin; Wei Zhang 196; Jiaxin Shi; Lifeng Shang; Guangyong Chen; Xin Jiang 002; Qun Liu 001 (EMNLP, 2022)

Self-consistent Reasoning For Solving Math Word Problems. - Jing Xiong; Zhongwei Wan; Xiping Hu; Min Yang 007; Chengming Li (CoRR, 2022)

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. - Zhongwei Wan; Che Liu; Mi Zhang 002; Jie Fu 001; Benyou Wang; Sibo Cheng; Lei Ma 008; César Quilodrán Casas; Rossella Arcucci (NeurIPS, 2023)

Text Classification: A Perspective of Deep Learning Methods. - Zhongwei Wan (CoRR, 2023)

Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion. - Hui Shen; Zhongwei Wan; Xin Wang 120; Mi Zhang 002 (ECCV Workshops (11), 2024)

LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference. - Zhongwei Wan; Ziang Wu; Che Liu; Jinfa Huang; Zhihong Zhu; Peng Jin 001; Longyue Wang; Li Yuan 007 (EMNLP (Findings), 2024)

DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection. - Zhihong Zhu; Kefan Shen; Zhaorun Chen; Yunyan Zhang; Yuyan Chen; Xiaoqi Jiao; Zhongwei Wan; Shaorong Xie; Wei Liu 027; Xian Wu 001; Yefeng Zheng 001 (EMNLP, 2024)

ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. - Che Liu; Zhongwei Wan; Sibo Cheng; Mi Zhang 002; Rossella Arcucci (ICASSP, 2024)

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. - Che Liu; Zhongwei Wan; Cheng Ouyang; Anand Shah; Wenjia Bai; Rossella Arcucci (ICML, 2024)

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction. - Zixuan Gong; Guangyin Bao; Qi Zhang 020; Zhongwei Wan; Duoqian Miao 001; Shoujin Wang; Lei Zhu 003; Changwei Wang 001; Rongtao Xu; Liang Hu 004; Ke Liu; Yu Zhang 133 (NeurIPS, 2024)

Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies. - Chaofan Tao; Qian Liu 012; Longxu Dou; Niklas Muennighoff; Zhongwei Wan; Ping Luo 002; Min Lin; Ngai Wong 001 (NeurIPS, 2024)

V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. - Yi Xin 003; Siqi Luo; Xuyang Liu; Yuntao Du 001; Haodi Zhou; Xinyu Cheng; Christina E. Lee; Junlong Du; Haozhe Wang 002; Mingcai Chen; Ting Liu; Guimin Hu; et al. (NeurIPS, 2024)

IoT in the Era of Generative AI: Vision and Challenges. - Xin Wang 120; Zhongwei Wan; Arvin Hekmati; Mingyu Zong; Samiul Alam; Mi Zhang 002; Bhaskar Krishnamachari (CoRR, 2024)

Electrocardiogram Instruction Tuning for Report Generation. - Zhongwei Wan; Che Liu; Xin Wang 120; Chaofan Tao; Hui Shen; Zhenwu Peng; Jie Fu 001; Rossella Arcucci; Huaxiu Yao; Mi Zhang 002 (CoRR, 2024)

Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate? - Kangyu Zheng; Yingzhou Lu; Zaixi Zhang; Zhongwei Wan; Yao Ma; Marinka Zitnik; Tianfan Fu (CoRR, 2024)

Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images. - Che Liu; Zhongwei Wan; Yuqi Wang; Hui Shen; Haozhe Wang 002; Kangyu Zheng; Mi Zhang 002; Rossella Arcucci (CoRR, 2024)

D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models. - Zhongwei Wan; Xinjian Wu; Yu Zhang 133; Yi Xin 003; Chaofan Tao; Zhihong Zhu; Xin Wang 120; Siqi Luo; Jing Xiong; Mi Zhang 002 (CoRR, 2024)

Enhancing Test Time Adaptation with Few-shot Guidance. - Siqi Luo; Yi Xin 003; Yuntao Du 001; Zhongwei Wan; Tao Tan 002; Guangtao Zhai; Xiaohong Liu 001 (CoRR, 2024)

UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation. - Zixuan Li; Jing Xiong; Fanghua Ye 001; Chuanyang Zheng; Xun Wu; Jianqiao Lu; Zhongwei Wan; Xiaodan Liang; Chengming Li; Zhenan Sun; Lingpeng Kong; Ngai Wong 001 (CoRR, 2024)

UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference. - Jing Xiong; Jianghan Shen; Fanghua Ye 001; Chaofan Tao; Zhongwei Wan; Jianqiao Lu; Xun Wu; Chuanyang Zheng; Zhijiang Guo; Lingpeng Kong; Ngai Wong 001 (CoRR, 2024)

ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction? - Canyu Chen; Jian Yu; Shan Chen 004; Che Liu; Zhongwei Wan; Danielle S. Bitterman; Fei Wang; Kai Shu (CoRR, 2024)

The Internet of Things in the Era of Generative AI: Vision and Challenges. - Xin Wang 120; Zhongwei Wan; Arvin Hekmati; Mingyu Zong; Samiul Alam; Mi Zhang 002; Bhaskar Krishnamachari (IEEE Internet Comput., 2024)

Efficient Large Language Models: A Survey. - Zhongwei Wan; Xin Wang 120; Che Liu; Samiul Alam; Yu Zheng 022; Jiachen Liu; Zhongnan Qu; Shen Yan; Yi Zhu; Quanlu Zhang; Mosharaf Chowdhury; Mi Zhang 002 (Trans. Mach. Learn. Res., 2024)

Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation. - Zhongwei Wan; Xin Liu 039; Benyou Wang; Jiezhong Qiu; Boyu Li 003; Ting Guo; Guangyong Chen; Yang Wang 002 (ACM Trans. Inf. Syst., 2024)

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? - Che Liu; Zhongwei Wan; Haozhe Wang 002; Yinda Chen; Talha Qaiser; Chen Jin; Nikolay Burlutskiy; Fariba Yousefi; Rossella Arcucci (ACL (Findings), 2025)

Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation. - Che Liu; Zhongwei Wan; Yuqi Wang; Hui Shen; Haozhe Wang 002; Kangyu Zheng; Mi Zhang 002; Rossella Arcucci (ACL (Findings), 2025)

MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation. - Zhongwei Wan; Che Liu; Xin Wang 120; Chaofan Tao; Hui Shen; Jing Xiong; Rossella Arcucci; Huaxiu Yao; Mi Zhang 002 (ACL (Findings), 2025)

Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models. - Zhihong Zhu; Yunyan Zhang; Xianwei Zhuang; Fan Zhang; Zhongwei Wan; Yuyan Chen; Qingqing Long; Yefeng Zheng 001; Xian Wu 001 (ACL (Findings), 2025)

Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection. - Jinfa Huang; Jinsheng Pan; Zhongwei Wan; Hanjia Lyu; Jiebo Luo 001 (COLING, 2025)

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression. - Xin Wang 120; Yu Zheng 022; Zhongwei Wan; Mi Zhang 002 (ICLR, 2025)

D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models. - Zhongwei Wan; Xinjian Wu; Yu Zhang 133; Yi Xin 003; Chaofan Tao; Zhihong Zhu; Xin Wang 120; Siqi Luo; Jing Xiong; Longyue Wang; Mi Zhang 002 (ICLR, 2025)

MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference. - Zhongwei Wan; Hui Shen; Xin Wang 120; Che Liu; Zheda Mai; Mi Zhang 002 (NAACL (Long Papers), 2025)

SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression. - Xin Wang 120; Samiul Alam; Zhongwei Wan; Hui Shen; Mi Zhang 002 (NAACL (Long Papers), 2025)

Efficient Diffusion Models: A Survey. - Hui Shen; Jingxuan Zhang; Boning Xiong; Rui Hu; Shoufa Chen; Zhongwei Wan; Xin Wang 120; Yu Zhang 133; Zixuan Gong; Guangyin Bao; Chaofan Tao; Yongfeng Huang; et al. (Trans. Mach. Learn. Res., 2025)

Autoregressive Models in Vision: A Survey. - Jing Xiong; Gongye Liu; Lun Huang; Chengyue Wu; Taiqiang Wu; Yao Mu 001; Yuan Yao; Hui Shen; Zhongwei Wan; Jinfa Huang; Chaofan Tao; Shen Yan; et al. (Trans. Mach. Learn. Res., 2025)

ParallelComp: Parallel Long-Context Compressor for Length Extrapolation. - Jing Xiong; Jianghan Shen; Chuanyang Zheng; Zhongwei Wan; Chenyang Zhao; Chiwun Yang; Fanghua Ye 001; Hongxia Yang; Lingpeng Kong; Ngai Wong 001 (CoRR, 2025)

Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation. - Simin Chen; Yiming Chen 010; Zexin Li 001; Yifan Jiang; Zhongwei Wan; Yixin He 002; Dezhi Ran; Tianle Gu; Haizhou Li 001; Tao Xie 001; Baishakhi Ray (CoRR, 2025)

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. - Che Liu; Cheng Ouyang; Zhongwei Wan; Haozhe Wang 002; Wenjia Bai; Rossella Arcucci (CoRR, 2025)

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? - Hui Shen; Taiqiang Wu; Qi Han; Yunta Hsieh; Jizhou Wang; Yuyue Zhang; Yuxin Cheng; Zijian Hao; Yuansheng Ni; Xin Wang; Zhongwei Wan; Kai Zhang 033; et al. (CoRR, 2025)

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL. - Che Liu; Haozhe Wang 002; Jiazhen Pan; Zhongwei Wan; Yong Dai 001; Fangzhen Lin; Wenjia Bai; Daniel Rueckert; Rossella Arcucci (CoRR, 2025)

Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning. - Yu Zhang 133; Jialei Zhou; Xinchen Li; Qi Zhang 020; Zhongwei Wan; Tianyu Wang; Duoqian Miao 001; Changwei Wang 001; Longbing Cao (CoRR, 2025)

SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving. - 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; et al. (CoRR, 2025)

SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning. - Zhongwei Wan; Zhihao Dou; Che Liu; Yu Zhang 133; Dongfei Cui; Qinjian Zhao; Hui Shen; Jing Xiong; Yi Xin 003; Yifan Jiang; Chaofan Tao; Yangfan He; 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)

Low-Cost Test-Time Adaptation for Robust Video Editing. - Jianhui Wang; Yinda Chen; Yangfan He; Xinyuan Song; Yi Xin; Dapeng Zhang; Zhongwei Wan; Bin Li; Rongchao Zhang (CoRR, 2025)