STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition. - Xu Li; Jingwen Wang 003; Lin Ma 002; Kaihao Zhang; Fengzong Lian; Zhanhui Kang; Jinjun Wang (CoRR, 2020)

Multimodal Product Identification: Submission to Watch and Buy 2021 Challenge. - Jun Peng; Su Feng; Ya Wang; Haowen Hou; Fengzong Lian; Zhanhui Kang (WAB @ ACM Multimedia, 2021)

An Anchor-based Relative Position Embedding Method for Cross-Modal Tasks. - Ya Wang; Xingwu Sun; Fengzong Lian; Zhanhui Kang; Chengzhong Xu 001 (EMNLP, 2022)

BagFormer: Better Cross-Modal Retrieval via bag-wise interaction. - Haowen Hou; Xiaopeng Yan; Yigeng Zhang; Fengzong Lian; Zhanhui Kang (CoRR, 2022)

GradSalMix: Gradient Saliency-Based Mix for Image Data Augmentation. - Tao Hong; Ya Wang; Xingwu Sun; Fengzong Lian; Zhanhui Kang; Jinwen Ma (ICME, 2023)

TeachCLIP: Multi-Grained Teaching for Efficient Text-to-Video Retrieval. - Kaibin Tian; Ruixiang Zhao; Hu Hu; Runquan Xie; Fengzong Lian; Zhanhui Kang; Xirong Li 001 (CoRR, 2023)

Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning. - Zhongzhi Chen; Xingwu Sun; Xianfeng Jiao; Fengzong Lian; Zhanhui Kang; Di Wang; Chengzhong Xu 001 (AAAI, 2024)

DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation. - Zihui Gu; Xingwu Sun; Fengzong Lian; Zhanhui Kang; Chengzhong Xu 001; Ju Fan (AAAI, 2024)

LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders. - Xingwu Sun; Zhen Yang; Ruobing Xie; Fengzong Lian; Zhanhui Kang; Chengzhong Xu 001 (LREC/COLING, 2024)

PhD: A Prompted Visual Hallucination Evaluation Dataset. - Jiazhen Liu; Yuhan Fu; Ruobing Xie; Runquan Xie; Xingwu Sun; Fengzong Lian; Zhanhui Kang; Xirong Li 001 (CoRR, 2024)

Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Data. - Zihui Gu; Xingwu Sun; Fengzong Lian; Zhanhui Kang; Cheng-Zhong Xu 001; Ju Fan (CoRR, 2024)

Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent. - Xingwu Sun; Yanfeng Chen; Yiqing Huang; Ruobing Xie; Jiaqi Zhu 004; Kai Zhang 033; Shuaipeng Li; Zhen Yang; Jonny Han; Xiaobo Shu; Jiahao Bu; Zhongzhi Chen; et al. (CoRR, 2024)

PhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset. - Jiazhen Liu; Yuhan Fu; Ruobing Xie; Runquan Xie; Xingwu Sun; Fengzong Lian; Zhanhui Kang; Xirong Li 001 (CVPR, 2025)

Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language. - Zekai Qu; Ruobing Xie; Chaojun Xiao; Yuan Yao 013; Zhiyuan Liu 001; Fengzong Lian; Zhanhui Kang; Jie Zhou 016 (ACM Trans. Inf. Syst., 2025)

Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought. - Ao Liu; Botong Zhou; Can Xu; Chayse Zhou; Chenchen Zhang; Chengcheng Xu; Chenhao Wang; Decheng Wu; Dengpeng Wu; Dian Jiao; Dong Du; Dong Wang; et al. (CoRR, 2025)

Adaptive Deep Reasoning: Triggering Deep Thinking When Needed. - Yunhao Wang; Yuhao Zhang; Tinghao Yu; Can Xu; Feng Zhang; Fengzong Lian (CoRR, 2025)

ArtifactsBench: Bridging the Visual-Interactive Gap in LLM Code Generation Evaluation. - Chenchen Zhang; Yuhang Li; Can Xu; Jiaheng Liu; Ao Liu; Shihui Hu; Dengpeng Wu; Guanhua Huang; Kejiao Li; Qi Yi; Ruibin Xiong; Haotian Zhu; et al. (CoRR, 2025)

Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided Framework. - Zenan Xu; Zexuan Qiu; Guanhua Huang; Kun Li; Siheng Li; Chenchen Zhang; Kejiao Li; Qi Yi; Yuhao Jiang; Bo Zhou; Fengzong Lian; Zhanhui Kang (CoRR, 2025)

AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators. - Jason Chou; Ao Liu; Yuchi Deng; Zhiying Zeng; Tao Zhang; Haotian Zhu; Jianwei Cai; Yue Mao; Chenchen Zhang; Lingyun Tan; Ziyan Xu; Bohui Zhai; et al. (CoRR, 2025)