Time-Series Clustering for Home Dwell Time during COVID-19: What Can We Learn from It? - Xiao Huang 003; Zhenlong Li; Junyu Lu; Sicheng Wang; Hanxue Wei; Baixu Chen (ISPRS Int. J. Geo Inf., 2020)

Decoupled Adaptation for Cross-Domain Object Detection. - Junguang Jiang; Baixu Chen; Jianmin Wang 001; Mingsheng Long (ICLR, 2022)

Debiased Self-Training for Semi-Supervised Learning. - Baixu Chen; Junguang Jiang; Ximei Wang; Pengfei Wan 001; Jianmin Wang 001; Mingsheng Long (NeurIPS, 2022)

Debiased Pseudo Labeling in Self-Training. - Baixu Chen; Junguang Jiang; Ximei Wang; Jianmin Wang 001; Mingsheng Long (CoRR, 2022)

ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning. - Junguang Jiang; Baixu Chen; Junwei Pan; Ximei Wang; Dapeng Liu; Jie Jiang 015; Mingsheng Long (NeurIPS, 2023)

ForkMerge: Overcoming Negative Transfer in Multi-Task Learning. - Junguang Jiang; Baixu Chen; Junwei Pan; Ximei Wang; Dapeng Liu; Jie Jiang 015; Mingsheng Long (CoRR, 2023)

Working in Progress: Reform Scheme of Project-Based Courses for Engaging Undergraduate Students in Research and Development. - Chengwei Zhang 002; Yayu Gao; Jinglan Cao; Baixu Chen; Guohui Zhong; Xiaojun Hei; Yang Cao (EDUCON, 2024)

On the Embedding Collapse when Scaling up Recommendation Models. - Xingzhuo Guo; Junwei Pan; Ximei Wang; Baixu Chen; Jie Jiang 015; Mingsheng Long (ICML, 2024)

Long-Sequence Recommendation Models Need Decoupled Embeddings. - Ningya Feng; Junwei Pan; Jialong Wu 001; Baixu Chen; Ximei Wang; Qian Li 016; Xian Hu; Jie Jiang 015; Mingsheng Long (ICLR, 2025)

Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models. - Xingzhuo Guo; Yu Zhang; Baixu Chen; Haoran Xu; Jianmin Wang 001; Mingsheng Long (ICLR, 2025)

Revealing Political Bias in LLMs through Structured Multi-Agent Debate. - Aishwarya Bandaru; Fabian Bindley; Trevor Bluth; Nandini Chavda; Baixu Chen; Ethan Law (CoRR, 2025)