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2020 – today
- 2025
[c6]Zongyu Lin, Zhikun Xu, Xiaohan Song, Yixin Wan, Xingcheng Yao, Tsung-Han Lin, Selina Song, Pranav Subbaraman, Ben Zhou, Kai-Wei Chang, Yizhou Sun:
V-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning. ACL (Findings) 2025: 19025-19047- [i10]Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu, Yizhou Sun, Kai-Wei Chang:
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search. CoRR abs/2502.02584 (2025) - [i9]Jingyuan Liu, Jianlin Su, Xingcheng Yao, Zhejun Jiang, Guokun Lai, Yulun Du, Yidao Qin, Weixin Xu, Enzhe Lu, Junjie Yan, Yanru Chen, Huabin Zheng, Yibo Liu, Shaowei Liu, Bohong Yin, Weiran He, Han Zhu, Yuzhi Wang, Jianzhou Wang, Mengnan Dong, Zheng Zhang, Yongsheng Kang, Hao Zhang, Xinran Xu, Yutao Zhang, Yuxin Wu, Xinyu Zhou, Zhilin Yang:
Muon is Scalable for LLM Training. CoRR abs/2502.16982 (2025) - [i8]Angang Du, Bohong Yin, Bowei Xing, Bowen Qu, Bowen Wang, Cheng Chen, Chenlin Zhang, Chenzhuang Du, Chu Wei, Congcong Wang, Dehao Zhang, Dikang Du, Dongliang Wang, Enming Yuan, Enzhe Lu, Fang Li, Flood Sung, Guangda Wei, Guokun Lai, Han Zhu, Hao Ding, Hao Hu, Hao Yang, Hao Zhang, Haoning Wu, Haotian Yao, Haoyu Lu, Heng Wang, Hongcheng Gao, Huabin Zheng, Jiaming Li, Jianlin Su, Jianzhou Wang, Jiaqi Deng, Jiezhong Qiu, Jin Xie, Jinhong Wang, Jingyuan Liu, Junjie Yan, Kun Ouyang, Liang Chen, Lin Sui, Longhui Yu, Mengfan Dong, Mengnan Dong, Nuo Xu, Pengyu Cheng, Qizheng Gu, Runjie Zhou, Shaowei Liu, Sihan Cao, Tao Yu, Tianhui Song, Tongtong Bai, Wei Song, Weiran He, Weixiao Huang, Weixin Xu, Xiaokun Yuan, Xingcheng Yao, Xingzhe Wu, Xinxing Zu, Xinyu Zhou, Xinyuan Wang, Y. Charles, Yan Zhong, Yang Li, Yangyang Hu, Yanru Chen, Yejie Wang, Yibo Liu, Yibo Miao, Yidao Qin, Yimin Chen, Yiping Bao, Yiqin Wang, Yongsheng Kang, Yuanxin Liu, Yulun Du, Yuxin Wu, Yuzhi Wang, Yuzi Yan, Zaida Zhou, Zhaowei Li, Zhejun Jiang, Zheng Zhang, Zhilin Yang, Zhiqi Huang, Zihao Huang, Zijia Zhao, Ziwei Chen, Zongyu Lin:
Kimi-VL Technical Report. CoRR abs/2504.07491 (2025) - [i7]Wenbo Hu, Yining Hong, Yanjun Wang, Leison Gao, Zibu Wei, Xingcheng Yao, Nanyun Peng, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang:
3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model. CoRR abs/2505.22657 (2025) - [i6]Yining Hong, Rui Sun, Bingxuan Li, Xingcheng Yao, Maxine Wu, Alexander Chien, Da Yin, Ying Nian Wu, Zhecan James Wang, Kai-Wei Chang:
Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence. CoRR abs/2506.15677 (2025) - [i5]Yu Zhang, Zongyu Lin, Xingcheng Yao, Jiaxi Hu, Fanqing Meng, Chengyin Liu, Xin Men, Songlin Yang, Zhiyuan Li, Wentao Li, Enzhe Lu, Weizhou Liu, Yanru Chen, Weixin Xu, Longhui Yu, Yejie Wang, Yu Fan, Longguang Zhong, Enming Yuan, Dehao Zhang, Yizhi Zhang, T. Y. Liu, Haiming Wang, Shengjun Fang, Weiran He, Shaowei Liu, Yiwei Li, Jianlin Su, Jiezhong Qiu, Bo Pang, Junjie Yan, Zhejun Jiang, Weixiao Huang, Bohong Yin, Jiacheng You, Chu Wei, Zhengtao Wang, Chao Hong, Yutian Chen, Guanduo Chen, Yucheng Wang, Huabin Zheng, Feng Wang, Yibo Liu, Mengnan Dong, Zheng Zhang, Siyuan Pan, Wenhao Wu, Yuhao Wu, Longyu Guan, Jiawen Tao, Guohong Fu, Xinran Xu, Yuzhi Wang, Guokun Lai, Yuxin Wu, Xinyu Zhou, Zhilin Yang, Yulun Du:
Kimi Linear: An Expressive, Efficient Attention Architecture. CoRR abs/2510.26692 (2025) - 2023
- [c5]Weiqing Ji
, Xingcheng Yao, Hailong Yao, Tsung-Yi Ho, Ulf Schlichtmann, Xia Yin:
SOAER: Self-Obstacle Avoiding Escape Routing for Paper-Based Digital Microfluidic Biochips. ACM Great Lakes Symposium on VLSI 2023: 255-260 - [c4]Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao, Zimeng Song, Siyang Wu, Ruifeng Luo, Zhiyuan Liu, Xianzhong Zhao, Yi Wu:
Automatic Truss Design with Reinforcement Learning. IJCAI 2023: 3659-3667 - [c3]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: A Comprehensive Library for Graph Deep Learning. WWW 2023: 747-758 - [i4]Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao, Zimeng Song, Siyang Wu, Ruifeng Luo, Zhiyuan Liu, Xianzhong Zhao, Yi Wu:
Automatic Truss Design with Reinforcement Learning. CoRR abs/2306.15182 (2023) - 2022
- [c2]Xingcheng Yao, Yanan Zheng, Xiaocong Yang, Zhilin Yang:
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework. ICML 2022: 25438-25451 - 2021
- [c1]Tianyu Gao, Xingcheng Yao, Danqi Chen:
SimCSE: Simple Contrastive Learning of Sentence Embeddings. EMNLP (1) 2021: 6894-6910 - [i3]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: An Extensive Toolkit for Deep Learning on Graphs. CoRR abs/2103.00959 (2021) - [i2]Tianyu Gao, Xingcheng Yao, Danqi Chen:
SimCSE: Simple Contrastive Learning of Sentence Embeddings. CoRR abs/2104.08821 (2021) - [i1]Xingcheng Yao, Yanan Zheng, Xiaocong Yang, Zhilin Yang:
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework. CoRR abs/2111.04130 (2021)
Coauthor Index
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