论文与出版物 NI Sampling++: Optimizing Token Order for Fast Discrete Diffusion Sampling with Reinforcement Learning Enshu Liu, Theodore Zhengde Zhao, Xuefei Ning, Zinan Lin, Yu Wang 2026 COLM | December 2026
论文与出版物 Self-Evolving Curriculum for LLM Reasoning Xiaoyin Chen, Jiarui Lu, Minsu Kim, Dinghuai Zhang, Jian Tang, Alex Pich'e, Nicolas Gontier, Yoshua Bengio, Ehsan Kamalloo 2026 COLM | October 2026
论文与出版物 BlueCodeAgent: A Blue Teaming Agent Enabled by Automated Red Teaming for CodeGen AI Chengquan Guo, Yuzhou Nie, Chulin Xie, Zinan Lin, Wenbo Guo, Bo Li ICML 2026 | October 2026
论文与出版物 ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs Gwangoo Yeo, Zhiyang Shen, Wei Cui, Matteo Interlandi, Rathijit Sen, Bailu Ding, Qi Chen, Minsoo Rhu VLDB 2026 Industrial Track | August 2026
论文与出版物 TQP++: Bridging ML Compilers and Analytical Query Processing on GPUs Wei Cui, Peng Cheng, Carlo Curino, Rathijit Sen, Matteo Interlandi VLDB 2026 Industrial Track | August 2026
论文与出版物 Federated Combinatorial Causal Bandits with Heterogeneous Causal Influences Zheshun Wu, Wei Chen, Zenglin Xu, Fang Kong 42nd Conference on Uncertainty in Artificial Intelligence (UAI) | August 2026
论文与出版物 Capybara: Dynamic Load Balancing with Microsecond-Scale TCP Migration Inho Choi, Nimish Wadekar, Guangda Sun, Raj Joshi, Joshua Fried, Omar S. Navarro Leija, Dan R. K. Ports, Irene Zhang, Jialin Li SIGCOMM ’26 | August 2026
论文与出版物 Embedding-Space Orthogonal Decomposition for Robust Social Recommendation Rongfeng Guo, Yinxuan Huang, Wei Chen, Mingyang Zhou, Yusen Wu, Yangchen Zeng, Han Chen, Hao Liao 2026 the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) | August 2026
论文与出版物 ENCO: Deploying Production-Scale Engineering Copilots Yiwen Zhu, Mathieu Demarne, Kai Deng, Wenjing Wang, Nutan Sahoo, Hannah Lerner, Anjali Bhavan, Divya Vermareddy, Yunlei Lu, Swati Bararia, William Zhang, Xia Li, Katherine Lin, Miso Cilimdzic, Subru Krishnan 2026 SIGKDD'26 Applied Data Science Track | August 2026
论文与出版物 Evaluating the Practical Effectiveness of LLM-Driven Index Tuning with Microsoft Database Tuning Advisor Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri Proceedings of the VLDB Endowment (VLDB 2026) | August 2026