Bipolar Disorder Recognition via Multi-scale Discriminative Audio Temporal Representation. - Zhengyin Du; Weixin Li 001; Di Huang 001; Yunhong Wang 001 (AVEC@MM, 2018)

Encoding Visual Behaviors with Attentive Temporal Convolution for Depression Prediction. - Zhengyin Du; Weixin Li 001; Di Huang 001; Yunhong Wang 001 (FG, 2019)

Discriminative Attention-based Convolutional Neural Network for 3D Facial Expression Recognition. - Kangkang Zhu; Zhengyin Du; Weixin Li 001; Di Huang 001; Yunhong Wang 001; Liming Chen 002 (FG, 2019)

Atrous Temporal Convolutional Network for Video Action Segmentation. - Jiahao Wang; Zhengyin Du; Annan Li; Yunhong Wang 001 (ICIP, 2019)

Continuous Emotion Recognition in Videos by Fusing Facial Expression, Head Pose and Eye Gaze. - Suowei Wu; Zhengyin Du; Weixin Li 001; Di Huang 001; Yunhong Wang 001 (ICMI, 2019)

Assessing Action Quality via Attentive Spatio-Temporal Convolutional Networks. - Jiahao Wang; Zhengyin Du; Annan Li; Yunhong Wang 001 (PRCV (2), 2020)

Spatio-Temporal Encoder-Decoder Fully Convolutional Network for Video-Based Dimensional Emotion Recognition. - Zhengyin Du; Suowei Wu; Di Huang 001; Weixin Li 001; Yunhong Wang 001 (IEEE Trans. Affect. Comput., 2021)

Facial Expression Animation by Landmark Guided Residual Module. - Xueping Wang; Yunhong Wang 001; Weixin Li 001; Zhengyin Du; Di Huang 001 (IEEE Trans. Affect. Comput., 2023)

TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use. - Junjie Ye; Yilong Wu; Sixian Li; Yuming Yang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Peng Wang 095; Zhongchao Shi; Jianping Fan 007; Zhengyin Du (CoRR, 2024)

ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use. - Junjie Ye; Zhengyin Du; Xuesong Yao; Weijian Lin; Yufei Xu; Zehui Chen; Zaiyuan Wang; Sining Zhu; Zhiheng Xi; Siyu Yuan; Tao Gui; Qi Zhang 001; et al. (ACL (1), 2025)

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training. - Siyu Yuan; Zehui Chen; Zhiheng Xi; Junjie Ye; Zhengyin Du; Jiecao Chen (CoRR, 2025)

LongReason: A Synthetic Long-Context Reasoning Benchmark via Context Expansion. - Zhan Ling; Kang Liu; Kai Yan; Yifan Yang; Weijian Lin; Ting-Han Fan; Lingfeng Shen; Zhengyin Du; Jiecao Chen (CoRR, 2025)

MIR-Bench: Benchmarking LLM's Long-Context Intelligence via Many-Shot In-Context Inductive Reasoning. - Kai Yan; Zhan Ling; Kang Liu; Yifan Yang; Ting-Han Fan; Lingfeng Shen; Zhengyin Du; Jiecao Chen (CoRR, 2025)

Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems? - Kai Yan; Yufei Xu; Zhengyin Du; Xuesong Yao; Zheyu Wang; Xiaowen Guo; Jiecao Chen (CoRR, 2025)

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks. - Yu Yue; Yufeng Yuan; Qiying Yu; Xiaochen Zuo; Ruofei Zhu; Wenyuan Xu; Jiaze Chen; Cheng-Xiang Wang 001; Tiantian Fan; Zhengyin Du; Xiangpeng Wei; Xiangyu Yu; et al. (CoRR, 2025)

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning. - Jiaze Chen; Tiantian Fan; Xin Liu; Lingjun Liu; Zhiqi Lin; Mingxuan Wang; Chengyi Wang; Xiangpeng Wei; Wenyuan Xu; Yufeng Yuan; Yu Yue; Lin Yan; et al. (CoRR, 2025)

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments. - Junjie Ye; Changhao Jiang; Zhengyin Du; Yufei Xu; Xuesong Yao; Zhiheng Xi; Xiaoran Fan; Qi Zhang 001; Xuanjing Huang 001; Jiecao Chen (CoRR, 2025)