Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark. - Kun Wang 042; Zhenyu Zhang 005; Zhiqiang Yan 001; Xiang Li 041; Baobei Xu; Jun Li 027; Jian Yang 003 (ICCV, 2021)

RigNet: Repetitive Image Guided Network for Depth Completion. - Zhiqiang Yan 001; Kun Wang 042; Xiang Li 041; Zhenyu Zhang 005; Baobei Xu; Jun Li 027; Jian Yang 003 (CoRR, 2021)

Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion. - Zhiqiang Yan 001; Xiang Li 041; Kun Wang 042; Zhenyu Zhang 005; Jun Li 027; Jian Yang 003 (ECCV (1), 2022)

RigNet: Repetitive Image Guided Network for Depth Completion. - Zhiqiang Yan 001; Kun Wang 042; Xiang Li 041; Zhenyu Zhang 005; Jun Li 027; Jian Yang 003 (ECCV (27), 2022)

DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion. - Zhiqiang Yan 001; Kun Wang 042; Xiang Li 041; Zhenyu Zhang 005; Jun Li 027; Jian Yang 003 (AAAI, 2023)

Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective. - Kun Wang 042; Yuxuan Liang; Pengkun Wang 001; Xu Wang 029; Pengfei Gu; Junfeng Fang; Yang Wang 015 (ICLR, 2023)

Distortion and Uncertainty Aware Loss for Panoramic Depth Completion. - Zhiqiang Yan 001; Xiang Li 041; Kun Wang 042; Shuo Chen 003; Jun Li 027; Jian Yang 003 (ICML, 2023)

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. - Yutong Xia; Yuxuan Liang; Haomin Wen; Xu Liu 014; Kun Wang 042; Zhengyang Zhou; Roger Zimmermann (NeurIPS, 2023)

Variable Radiance Field for Real-Life Category-Specifc Reconstruction from Single Image. - Kun Wang 042; Zhiqiang Yan 001; Zhenyu Zhang 005; Xiang Li 041; Jun Li 027; Jian Yang 003 (CoRR, 2023)

Learnable Differencing Center for Nighttime Depth Perception. - Zhiqiang Yan 001; Yupeng Zheng; Kun Wang 042; Xiang Li 041; Zhenyu Zhang 005; Shuo Chen 003; Jun Li 027; Jian Yang 003 (CoRR, 2023)

The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field. - Kun Wang 042; Guohao Li 001; Shilong Wang 002; Guibin Zhang; Kai Wang 036; Yang You 001; Xiaojiang Peng; Yuxuan Liang; Yang Wang 015 (CoRR, 2023)

Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. - Hao Wu; Shilong Wang 002; Yuxuan Liang; Zhengyang Zhou; Wei Huang 034; Wei Xiong; Kun Wang 042 (CoRR, 2023)

A2DJP: A Two Graph-Based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction. - Kun Wang 042; Zhengyang Zhou; Xu Wang 029; Pengkun Wang 001; Qi Fang; Yang Wang 015 (IEEE Trans. Knowl. Data Eng., 2023)

AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization. - Kun Wang 042; Zhiqiang Yan 001; Huang Tian; Zhenyu Zhang 005; Xiang Li 041; Jun Li 027; Jian Yang 003 (AAAI, 2024)

Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance. - Junkai Fan; Jiangwei Weng; Kun Wang 042; Yijun Yang; Jianjun Qian; Jun Li 027; Jian Yang 003 (CVPR, 2024)

Tri-Perspective view Decomposition for Geometry-Aware Depth Completion. - Zhiqiang Yan 001; Yuankai Lin; Kun Wang 042; Yupeng Zheng; Yufei Wang; Zhenyu Zhang 005; Jun Li 027; Jian Yang 003 (CVPR, 2024)

Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. - Kang Luo; Yuanshao Zhu; Wei Chen 070; Kun Wang 042; Zhengyang Zhou; Sijie Ruan; Yuxuan Liang (IJCAI, 2024)

Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach. - Huaiwu Zhang; Yutong Xia; Siru Zhong; Kun Wang 042; Zekun Tong; Qingsong Wen; Roger Zimmermann; Yuxuan Liang (IJCAI, 2024)

A deep learning approach for inter-patient classification of premature ventricular contraction from electrocardiogram. - Ziqiang Wang; Kun Wang 042; Xiaozhong Chen; Yefeng Zheng 001; Xian Wu 001 (Biomed. Signal Process. Control., 2024)

All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN. - Shilong Wang 002; Hao Wu 083; Yifan Duan; Guibin Zhang; Guohao Li 001; Yuxuan Liang; Shirui Pan; Kun Wang 042; Yang Wang 015 (CoRR, 2024)

Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach. - Huaiwu Zhang; Yutong Xia; Siru Zhong; Kun Wang 042; Zekun Tong; Qingsong Wen; Roger Zimmermann; Yuxuan Liang (CoRR, 2024)

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? - Yifan Zhang 004; Huanyu Zhang; Haochen Tian; Chaoyou Fu; Shuangqing Zhang; Junfei Wu; Feng Li; Kun Wang 042; Qingsong Wen; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; et al. (CoRR, 2024)

Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia. - Miao Yu; Junyuan Mao; Guibin Zhang; Jingheng Ye; Junfeng Fang; Aoxiao Zhong; Yang Liu 018; Yuxuan Liang; Kun Wang 042; Qingsong Wen (CoRR, 2024)

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. - Junfeng Fang; Houcheng Jiang; Kun Wang 042; Yunshan Ma; Xiang Wang 010; Xiangnan He 001; Tat-Seng Chua (CoRR, 2024)

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. - Guibin Zhang; Yanwei Yue; Zhixun Li; Sukwon Yun; Guancheng Wan; Kun Wang 042; Dawei Cheng; Jeffrey Xu Yu; Tianlong Chen 001 (CoRR, 2024)

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. - Yibo Yan; Shen Wang 005; Jiahao Huo; Hang Li 007; Boyan Li; Jiamin Su; Xiong Gao; Yifan Zhang 004; Tianlong Xu; Zhendong Chu; Aoxiao Zhong; Kun Wang 042; et al. (CoRR, 2024)

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality. - Guanyu Zhou; Yibo Yan; Xin Zou 001; Kun Wang 042; Aiwei Liu; Xuming Hu (CoRR, 2024)

MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models. - Kaichen Huang; Jiahao Huo; Yibo Yan; Kun Wang 042; Yutao Yue; Xuming Hu (CoRR, 2024)

G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. - Guibin Zhang; Yanwei Yue; Xiangguo Sun; Guancheng Wan; Miao Yu; Junfeng Fang; Kun Wang 042; Dawei Cheng (CoRR, 2024)

On the Role of Attention Heads in Large Language Model Safety. - Zhenhong Zhou; Haiyang Yu 003; Xinghua Zhang 001; Rongwu Xu; Fei Huang 002; Kun Wang 042; Yang Liu 005; Junfeng Fang; Yongbin Li (CoRR, 2024)

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning. - Guibin Zhang; Haonan Dong; Yuchen Zhang; Zhixun Li; Dingshuo Chen; Kai Wang 036; Tianlong Chen 001; Yuxuan Liang; Dawei Cheng; Kun Wang 042 (CoRR, 2024)

DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain. - Kun Wang 042; Zhiqiang Yan 001; Junkai Fan; Wanlu Zhu; Xiang Li 041; Jun Li 027; Jian Yang 003 (CoRR, 2024)

NetSafe: Exploring the Topological Safety of Multi-agent Networks. - Miao Yu; Shilong Wang 002; Guibin Zhang; Junyuan Mao; Chenlong Yin; Qijiong Liu; Qingsong Wen; Kun Wang 042; Yang Wang 015 (CoRR, 2024)

Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks. - Chen Zhou; Peng Cheng; Junfeng Fang; Yifan Zhang 004; Yibo Yan; Xiaojun Jia; Yanyan Xu; Kun Wang 042; Xiaochun Cao (CoRR, 2024)

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey. - Yunkai Dang; Kaichen Huang; Jiahao Huo; Yibo Yan; Sirui Huang; Dongrui Liu; Mengxi Gao; Jie Zhang 012; Chen Qian 003; Kun Wang 042; Yong Liu 018; Jing Shao; et al. (CoRR, 2024)

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges. - Yibo Yan; Jiamin Su; Jianxiang He; Fangteng Fu; Xu Zheng 002; Yuanhuiyi Lyu; Kun Wang 042; Shen Wang 005; Qingsong Wen; Xuming Hu (CoRR, 2024)

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion. - Zhiqiang Yan 001; Zhengxue Wang; Kun Wang 042; Jun Li 027; Jian Yang 003 (CoRR, 2024)

Learning Complementary Correlations for Depth Super-Resolution With Incomplete Data in Real World. - Zhiqiang Yan 001; Kun Wang 042; Xiang Li 041; Zhenyu Zhang 005; Guangyu Li; Jun Li 027; Jian Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video. - Junkai Fan; Kun Wang 042; Zhiqiang Yan 001; Xiang Chen 015; Shangbing Gao; Jun Li 027; Jian Yang 003 (AAAI, 2025)

Position: LLMs Can be Good Tutors in Foreign Language Education. - Jingheng Ye; Shen Wang 005; Deqing Zou; Yibo Yan; Kun Wang 042; Hai-Tao Zheng 002; Zenglin Xu; Irwin King; Philip S. Yu; Qingsong Wen (CoRR, 2025)

Learning Inverse Laplacian Pyramid for Progressive Depth Completion. - Kun Wang 042; Zhiqiang Yan 001; Junkai Fan; Jun Li 027; Jian Yang 003 (CoRR, 2025)

BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting. - Weiyan Wang; Xingjian Shi; Ruiqi Shu; Yuan Gao; Rui Ray Chen; Kun Wang 042; Fan Xu 009; Jinbao Xue; Shuaipeng Li; Yangyu Tao; Di Wang; Hao Wu 094; et al. (CoRR, 2025)

Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders. - Qijiong Liu; Jieming Zhu; Lu Fan; Kun Wang 042; Hengchang Hu; Wei Guo; Yong Liu 018; Xiao-Ming Wu 003 (CoRR, 2025)

A Vision for Auto Research with LLM Agents. - Chengwei Liu; Chong Wang 013; Jiayue Cao; Jingquan Ge; Kun Wang 042; Lvye Zhang; Ming-Ming Cheng; Penghai Zhao; Tianlin Li; Xiaojun Jia; Xiang Li 041; Xinfeng Li; et al. (CoRR, 2025)

DD-Ranking: Rethinking the Evaluation of Dataset Distillation. - Zekai Li; Xinhao Zhong; Samir Khaki; Zhiyuan Liang; Yuhao Zhou; Mingjia Shi; Ziqiao Wang; Xuanlei Zhao; Wangbo Zhao; Ziheng Qin; Mengxuan Wu; Pengfei Zhou; et al. (CoRR, 2025)

Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias. - Hao Wu 094; Yuan Gao; Ruiqi Shu; Zean Han; Fan Xu 009; Zhihong Zhu; Qingsong Wen; Xian Wu 001; Kun Wang 042; Xiaomeng Huang (CoRR, 2025)