He, Bing

13 publications

ICLR 2026 Content-Aware Mamba for Learned Image Compression Yunuo Chen, Zezheng Lyu, Bing He, Hongwei Hu, Qi Wang, Yuan Tian, Li Song, Wenjun Zhang, Guo Lu

ICLR 2026 SurfSplat: Conquering Feedforward 2D Gaussian Splatting with Surface Continuity Priors Bing He, Jingnan Gao, Yunuo Chen, Ning Cao, Gang Chen, Zhengxue Cheng, Li Song, Wenjun Zhang

ICLR 2026 TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use Pengfei He, Zhenwei Dai, Bing He, Hui Liu, Xianfeng Tang, Hanqing Lu, Juanhui Li, Jiayuan Ding, Subhabrata Mukherjee, Suhang Wang, Yue Xing, Jiliang Tang, Benoit Dumoulin

ICLRW 2025 De Novo Design of Antigen-Specific Antibodies Using Structural Constraint-Based Generative Language Model Yuran Jia, Bing He, Tianxu Lv, YangXiao, Tianyi Zhao, Jianhua Yao

ICLRW 2025 Few-Shot Active Learning for De Novo Dual-Target Peptide Design with High Bio-Activity Tianxu Lv, Bing He, Yuran Jia, Xiang Pan, Jianhua Yao

NeurIPS 2025 H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting Bing He, Yunuo Chen, Guo Lu, Qi Wang, Qunshan Gu, Rong Xie, Li Song, Wenjun Zhang

ICCV 2025 Knowledge Distillation for Learned Image Compression Yunuo Chen, Zezheng Lyu, Bing He, Ning Cao, Gang Chen, Guo Lu, Wenjun Zhang

ICML 2025 Steering Protein Language Models Long-Kai Huang, Rongyi Zhu, Bing He, Jianhua Yao

AAAI 2024 A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification Fan Xu, Yu Zhao, Bingzhe Wu, Yueshan Huang, Qin Ren, Yang Xiao, Bing He, Jie Zheng, Jianhua Yao

IJCAI 2023 A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao

AAAI 2021 Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

AAAI 2021 PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector Chuan Luo, Pu Zhao, Chen Chen, Bo Qiao, Chao Du, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

CVPR 2019 Part-Regularized Near-Duplicate Vehicle Re-Identification Bing He, Jia Li, Yifan Zhao, Yonghong Tian