Zhongwei Wan - RankMe

80 papers A* 12B 1Misc 1Journal 57Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DSDR: Dual-Scale Diversity Regularization for Exploration in LLM Reasoning. CoRR Zhongwei Wan, Yun Shen, Zhihao Dou, Donghao Zhou, Yu Zhang, Xin Wang, Hui Shen, Jing Xiong, Chaofan Tao, Zixuan Zhong, Peizhou Huang, Mi Zhang
2026	J	`jnl`	MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents. CoRR Peizhou Huang, Zixuan Zhong, Zhongwei Wan, Donghao Zhou, Samiul Alam, Xin Wang, Zexin Li, Zhihao Dou, Li Zhu, Jing Xiong, Chaofan Tao, Yan Xu, Dimitrios Dimitriadis, Tuo Zhang, Mi Zhang
2026	J	`jnl`	MMFormalizer: Multimodal Autoformalization in the Wild. CoRR Jing Xiong, Qi Han, Yunta Hsieh, Hui Shen, Huajian Xin, Chaofan Tao, Chenyang Zhao, Hengyuan Zhang, Taiqiang Wu, Zhen Zhang, Haochen Wang, Zhongwei Wan, Lingpeng Kong, Ngai Wong
2026	J	`jnl`	MMSpec: Benchmarking Speculative Decoding for Vision-Language Models. CoRR Hui Shen, Xin Wang, Ping Zhang, Yunta Hsieh, Qi Han, Zhongwei Wan, Ziheng Zhang, Jingxuan Zhang, Jing Xiong, Ziyuan Liu, Yifan Zhang, Hangrui Cao, Chenyang Zhao, Mi Zhang
2026	J	`jnl`	MathGen: Revealing the Illusion of Mathematical Competence through Text-to-Image Generation. CoRR Ruiyao Liu, Hui Shen, Ping Zhang, Yunta Hsieh, Yifan Zhang, Jing Xu, Sicheng Chen, Junchen Li, Jiawei Lu, Jianing Ma, Jiaqi Mo, Qi Han, Zhen Zhang, Zhongwei Wan, Jing Xiong, Xin Wang, Ziyuan Liu, Hangrui Cao, Ngai Wong
2026	J	`jnl`	QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models. CoRR Jingxuan Zhang, Yunta Hsieh, Zhongwei Wan, Haokun Lin, Xin Wang, Ziqi Wang, Yingtie Lei, Mi Zhang
2026	J	`jnl`	SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning. CoRR Haoyu Huang, Jinfa Huang, Zhongwei Wan, Xiawu Zheng, Rongrong Ji, Jiebo Luo
2026	J	`jnl`	Swordsman: Entropy-Driven Adaptive Block Partition for Efficient Diffusion Language Models. CoRR Yu Zhang, Xinchen Li, Jialei Zhou, Hongnan Ma, Zhongwei Wan, Yiwei Shi, Duoqian Miao, Qi Zhang, Longbing Cao
2025	J	`jnl`	ATTS: Asynchronous Test-Time Scaling via Conformal Prediction. CoRR 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
2025	—	`conf`	Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation. ACL (Findings) Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci
2025	J	`jnl`	Autoregressive Models in Vision: A Survey. Trans. Mach. Learn. Res. 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
2025	A*	`conf`	Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation. EMNLP Simin Chen, Yiming Chen, Zexin Li, Yifan Jiang, Zhongwei Wan, Yixin He, Dezhi Ran, Tianle Gu, Haizhou Li, Tao Xie, Baishakhi Ray
2025	J	`jnl`	Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL. CoRR Che Liu, Haozhe Wang, Jiazhen Pan, Zhongwei Wan, Yong Dai, Fangzhen Lin, Wenjia Bai, Daniel Rueckert, Rossella Arcucci
2025	—	`conf`	Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? ACL (Findings) Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Nikolay Burlutskiy, Fariba Yousefi, Rossella Arcucci
2025	—	`conf`	Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models. ACL (Findings) Zhihong Zhu, Yunyan Zhang, Xianwei Zhuang, Fan Zhang, Zhongwei Wan, Yuyan Chen, Qingqing Long, Yefeng Zheng, Xian Wu
2025	A*	`conf`	D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models. ICLR Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Longyue Wang, Mi Zhang
2025	J	`jnl`	Efficient Diffusion Models: A Survey. CoRR 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
2025	J	`jnl`	Efficient Diffusion Models: A Survey. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS. CoRR Alex ZH Dou, Zhongwei Wan, Dongfei Cui, Xin Wang, Jing Xiong, Haokun Lin, Chaofan Tao, Shen Yan, Mi Zhang
2025	J	`jnl`	Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning. CoRR Yu Zhang, Jialei Zhou, Xinchen Li, Qi Zhang, Zhongwei Wan, Tianyu Wang, Duoqian Miao, Changwei Wang, Longbing Cao
2025	B	`conf`	Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection. COLING Jinfa Huang, Jinsheng Pan, Zhongwei Wan, Hanjia Lyu, Jiebo Luo
2025	—	`conf`	Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. EMNLP (Findings) Che Liu, Cheng Ouyang, Zhongwei Wan, Haozhe Wang, Wenjia Bai, Rossella Arcucci
2025	J	`jnl`	Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. CoRR Che Liu, Cheng Ouyang, Zhongwei Wan, Haozhe Wang, Wenjia Bai, Rossella Arcucci
2025	J	`jnl`	LongEmotion: Measuring Emotional Intelligence of Large Language Models in Long-Context Interaction. CoRR 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
2025	J	`jnl`	Low-Cost Test-Time Adaptation for Robust Video Editing. CoRR Jianhui Wang, Yinda Chen, Yangfan He, Xinyuan Song, Yi Xin, Dapeng Zhang, Zhongwei Wan, Bin Li, Rongchao Zhang
2025	—	`conf`	MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference. NAACL (Long Papers) Zhongwei Wan, Hui Shen, Xin Wang, Che Liu, Zheda Mai, Mi Zhang
2025	J	`jnl`	MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference. CoRR Zhongwei Wan, Hui Shen, Xin Wang, Che Liu, Zheda Mai, Mi Zhang
2025	—	`conf`	MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation. ACL (Findings) Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Jing Xiong, Rossella Arcucci, Huaxiu Yao, Mi Zhang
2025	J	`jnl`	MedREK: Retrieval-Based Editing for Medical LLMs with Key-Aware Prompts. CoRR Shujun Xia, Haokun Lin, Yichen Wu, Yinan Zhou, Zixuan Li, Zhongwei Wan, Xingrun Xing, Yefeng Zheng, Xiang Li, Caifeng Shan, Zhenan Sun, Quanzheng Li
2025	A*	`conf`	ParallelComp: Parallel Long-Context Compressor for Length Extrapolation. ICML Jing Xiong, Jianghan Shen, Chuanyang Zheng, Zhongwei Wan, Chenyang Zhao, Chiwun Yang, Fanghua Ye, Hongxia Yang, Lingpeng Kong, Ngai Wong
2025	J	`jnl`	ParallelComp: Parallel Long-Context Compressor for Length Extrapolation. CoRR Jing Xiong, Jianghan Shen, Chuanyang Zheng, Zhongwei Wan, Chenyang Zhao, Chiwun Yang, Fanghua Ye, Hongxia Yang, Lingpeng Kong, Ngai Wong
2025	J	`jnl`	PhyX: Does Your Model Have the "Wits" for Physical Reasoning? CoRR 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
2025	J	`jnl`	Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning. CoRR Zhihao Dou, Qinjian Zhao, Zhongwei Wan, Dinggen Zhang, Weida Wang, Towsif Raiyan, Benteng Chen, Qingtao Pan, Yang Ouyang, Zhiqiang Gao, Shufei Zhang, Sumon Biswas
2025	J	`jnl`	Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation. CoRR Simin Chen, Yiming Chen, Zexin Li, Yifan Jiang, Zhongwei Wan, Yixin He, Dezhi Ran, Tianle Gu, Haizhou Li, Tao Xie, Baishakhi Ray
2025	J	`jnl`	SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning. CoRR 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
2025	—	`conf`	SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression. NAACL (Long Papers) Xin Wang, Samiul Alam, Zhongwei Wan, Hui Shen, Mi Zhang
2025	J	`jnl`	SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression. CoRR Xin Wang, Samiul Alam, Zhongwei Wan, Hui Shen, Mi Zhang
2025	A*	`conf`	SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression. ICLR Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang
2025	J	`jnl`	SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving. CoRR 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
2025	A*	`conf`	UNComp: Can Matrix Entropy Uncover Sparsity? - A Compressor Design from an Uncertainty-Aware Perspective. EMNLP Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Min Yang, Lingpeng Kong, Ngai Wong
2024	J	`jnl`	Autoregressive Models in Vision: A Survey. CoRR 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
2024	J	`jnl`	Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images. CoRR Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci
2024	J	`jnl`	Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? CoRR Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Fariba Yousefi, Nikolay Burlutskiy, Rossella Arcucci
2024	J	`jnl`	ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction? CoRR Canyu Chen, Jian Yu, Shan Chen, Che Liu, Zhongwei Wan, Danielle S. Bitterman, Fei Wang, Kai Shu
2024	J	`jnl`	D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models. CoRR Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Mi Zhang
2024	A*	`conf`	DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection. EMNLP Zhihong Zhu, Kefan Shen, Zhaorun Chen, Yunyan Zhang, Yuyan Chen, Xiaoqi Jiao, Zhongwei Wan, Shaorong Xie, Wei Liu, Xian Wu, Yefeng Zheng
2024	Misc	`conf`	ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. ICASSP Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci
2024	J	`jnl`	Efficient Large Language Models: A Survey. Trans. Mach. Learn. Res. Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang
2024	J	`jnl`	Electrocardiogram Instruction Tuning for Report Generation. CoRR Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang
2024	J	`jnl`	Enhancing Test Time Adaptation with Few-shot Guidance. CoRR Siqi Luo, Yi Xin, Yuntao Du, Zhongwei Wan, Tao Tan, Guangtao Zhai, Xiaohong Liu
2024	J	`jnl`	Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection. CoRR Jinfa Huang, Jinsheng Pan, Zhongwei Wan, Hanjia Lyu, Jiebo Luo
2024	—	`conf`	Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion. ECCV Workshops (11) Hui Shen, Zhongwei Wan, Xin Wang, Mi Zhang
2024	J	`jnl`	Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion. CoRR Hui Shen, Zhongwei Wan, Xin Wang, Mi Zhang
2024	J	`jnl`	IoT in the Era of Generative AI: Vision and Challenges. CoRR Xin Wang, Zhongwei Wan, Arvin Hekmati, Mingyu Zong, Samiul Alam, Mi Zhang, Bhaskar Krishnamachari
2024	—	`conf`	LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference. EMNLP (Findings) Zhongwei Wan, Ziang Wu, Che Liu, Jinfa Huang, Zhihong Zhu, Peng Jin, Longyue Wang, Li Yuan
2024	J	`jnl`	LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference. CoRR Zhongwei Wan, Ziang Wu, Che Liu, Jinfa Huang, Zhihong Zhu, Peng Jin, Longyue Wang, Li Yuan
2024	A*	`conf`	NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction. NeurIPS Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang
2024	J	`jnl`	NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction. CoRR Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang
2024	J	`jnl`	SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression. CoRR Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang
2024	A*	`conf`	Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies. NeurIPS Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong
2024	J	`jnl`	Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies. CoRR Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong
2024	J	`jnl`	Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation. ACM Trans. Inf. Syst. Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang
2024	J	`jnl`	Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate? CoRR Kangyu Zheng, Yingzhou Lu, Zaixi Zhang, Zhongwei Wan, Yao Ma, Marinka Zitnik, Tianfan Fu
2024	J	`jnl`	The Internet of Things in the Era of Generative AI: Vision and Challenges. IEEE Internet Comput. Xin Wang, Zhongwei Wan, Arvin Hekmati, Mingyu Zong, Samiul Alam, Mi Zhang, Bhaskar Krishnamachari
2024	J	`jnl`	UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference. CoRR Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Lingpeng Kong, Ngai Wong
2024	J	`jnl`	UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation. CoRR Zixuan Li, Jing Xiong, Fanghua Ye, Chuanyang Zheng, Xun Wu, Jianqiao Lu, Zhongwei Wan, Xiaodan Liang, Chengming Li, Zhenan Sun, Lingpeng Kong, Ngai Wong
2024	A*	`conf`	V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. NeurIPS 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
2024	A*	`conf`	Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. ICML Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci
2024	J	`jnl`	Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. CoRR Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	J	`jnl`	ETP: Learning Transferable ECG Representations via ECG-Text Pre-training. CoRR Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci
2023	J	`jnl`	Efficient Large Language Models: A Survey. CoRR Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang
2023	A*	`conf`	Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. NeurIPS Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci
2023	J	`jnl`	Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. CoRR Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci
2023	J	`jnl`	Text Classification: A Perspective of Deep Learning Methods. CoRR Zhongwei Wan
2022	A*	`conf`	G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. EMNLP Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu
2022	J	`jnl`	G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. CoRR Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu
2022	J	`jnl`	Self-consistent Reasoning For Solving Math Word Problems. CoRR Jing Xiong, Zhongwei Wan, Xiping Hu, Min Yang, Chengming Li
2022	J	`jnl`	Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation. CoRR Zhongwei Wan, Benyou Wang, Xin Liu, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang
2020	J	`jnl`	Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks. CoRR Zhenyu Liang, Yunfan Li, Zhongwei Wan
2020	J	`jnl`	Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP. CoRR Zhenyu Liang, Yunfan Li, Zhongwei Wan