| 2026 | Minimum-Length Conformal Prediction Sets for Ordinal Classification. | Zijian Zhang, Xinyu Chen, Yuanjie Shi, Liyuan Lillian Ma, Zifan Xu, Yan Yan |
| 2026 | Keep On Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training. | Yang Zhang, Zhanxiang Cao, Buqing Nie, Haoyang Li, Jiangwei Zhong, Qiao Sun, Xiaoyi Hu, Xiaokang Yang, Yue Gao |
| 2026 | Prune4Web: DOM Tree Pruning Programming for Web Agent. | Jiayuan Zhang, Kaiquan Chen, Zhihao Lu, Enshen Zhou, Qian Yu, Jing Zhang |
| 2026 | Sequence-Free for Compound Protein Interaction Prediction. | Hongzhi Zhang, Jiameng Chen, Kun Li, Yida Xiong, Xiantao Cai, Wenbin Hu, Jia Wu |
| 2026 | ADAPT: Adaptive Decentralized Architecture with Perception-Aligned Training for Structural Generalization in Multi-Agent RL. | Zhixiang Zhang, Shuo Chen, Yexin Li, Feng Wang |
| 2026 | Dual-Path Knowledge-Augmented Contrastive Alignment Network for Spatially Resolved Transcriptomics. | Wei Zhang, Jiajun Chu, Xinci Liu, Chen Tong, Xinyue Li |
| 2026 | Exo2Ego: Exocentric Knowledge Guided MLLM for Egocentric Video Understanding. | Haoyu Zhang, Qiaohui Chu, Meng Liu, Haoxiang Shi, Yaowei Wang, Liqiang Nie |
| 2026 | Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation. | Rongyu Zhang, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, Ran Xu, Li Du, Dan Wang, Yuan Du |
| 2026 | VEDA: Generation of 3D Molecules via Variance-Exploding Diffusion with Annealing. | Peining Zhang, Jinbo Bi, Minghu Song |
| 2026 | Evolving Generalist Virtual Agents with Generative and Associative Memory. | Zhenkui Zhang, Wendong Bu, Kaihang Pan, Bingchen Miao, Wenqiao Zhang, Guoming Wang, Wei Ji, Rui Tang, Juncheng Li, Siliang Tang |
| 2026 | Syllogism-Inspired TableQA: Evidentialization Makes Decomposition Reasoning and Answer Verification More Reliable. | Zhe Zhang, Lili Bai, Chaopeng Guo, Jie Song |
| 2026 | CauVQ: Causal Vector Quantization for Graph OOD Generalization. | Weihong Zhang, Liang Bai, Hangyuan Du, Xian Yang |
| 2026 | Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits? | Yizhe Zhang |
| 2026 | Algorithms for Context Engineering in LLM Inference: Optimization of Placement, Compression, and Scheduling. | Teresa Zhang |
| 2026 | Optimisation Problems in Constrained Machine Learning. | Ruihan Zhang |
| 2026 | Towards Inclusive AI: Advancing Multilingual Large Language Models. | Wenxuan Zhang |
| 2026 | Reinforcement Learning Without Explicit Rewards: Theory and Practice. | Weitong Zhang |
| 2026 | Enhancing Binary Encoded Crime Linkage Analysis Using Siamese Network. | Yicheng Zhan, Fahim Ahmed, Amy Burrell, Matthew J. Tonkin, Sarah Galambos, Jessica Woodhams, Dalal Alrajeh |
| 2026 | SFGA: Similarity-Constrained Fusion Learning for Unsupervised Anomaly Detection in Multiplex Graphs. | Huiliang Zhai, Xiangyi Teng, Jing Liu |
| 2026 | AirCopBench: A Benchmark for Multi-drone Collaborative Embodied Perception and Reasoning. | Jirong Zha, Yuxuan Fan, Tianyu Zhang, Geng Chen, Yingfeng Chen, Chen Gao, Xinlei Chen |
| 2026 | DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning. | Jirong Zha, Yuxuan Fan, Kai Li, Han Li, Chen Gao, Xinlei Chen |
| 2026 | Lethe: Layer- and Time-Adaptive KV Cache Pruning for Reasoning-Intensive LLM Serving. | Hui Zeng, Daming Zhao, Pengfei Yang, WenXuan Hou, Tianyang Zheng, Hui Li, Weiye Ji, Jidong Zhai |
| 2026 | Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition. | Shuli Zeng, Sijia Zhang, Feng Wu, Shaojie Tang, Xiangyang Li |
| 2026 | PromptEmo: Learning Emotion with Bilateral Textual Prompts in Multi-Domain Open-set Scenarios. | Xinyi Zeng, Yuxiang Yang, Pinxian Zeng, Wenxia Yin, Bo Liu, Xi Wu, Yan Wang |
| 2026 | Ripple Shapley: Data Influence Attribution in One Federated Training Run. | Dewen Zeng, Wenlong Tian, Haozhao Wang, Jianfeng Lu, Weijun Xiao, Zhiyong Xu |