Update publications.md

ziplab · Jan 16, 2024 · f2094cc · f2094cc
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 (Selected Publications. \* equal contribution, \# corresponding author)
 
-**2023**
-
-- **Efficient Stitchable Task Adaptation**
-
-**Haoyu He**, Zizheng Pan, Jing Liu, Jianfei Cai, Bohan Zhuang\#
-
-[[Paper](https://arxiv.org/abs/2311.17352)]
-
+**2024**
 
 - **QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models**
 
 **Jing Liu**, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang\#
 
-[[Paper](https://arxiv.org/abs/2310.08041)]
+[[Paper](https://arxiv.org/abs/2310.08041)]  **ICLR 2024**
 
 
 - **EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models**
 
 **Yefei He**, Jing Liu, Weijia Wu, Hong Zhou\#, Bohan Zhuang\#
 
-[[Paper](https://arxiv.org/abs/2310.03270)]
+[[Paper](https://arxiv.org/abs/2310.03270)] **ICLR 2024 (Spotlight)**
 
 
-- **LoRAPrune: Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning**
+- **Object-Aware Inversion and Reassembly for Image Editing**
 
-**Mingyang Zhang**, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang
+**Zhen Yang**, Ganggui Ding, Wen Wang, Hao Chen\#, Bohan Zhuang\#, Chunhua Shen
 
-[[Paper](https://arxiv.org/abs/2305.18403v3)]
+[[Paper](https://arxiv.org/abs/2310.12149)][[Project](https://github.com/aim-uofa/OIR)] **ICLR 2024**
 
 
-- **Object-Aware Inversion and Reassembly for Image Editing**
+- **T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching**
 
-**Zhen Yang**, Ganggui Ding, Wen Wang, Hao Chen\#, Bohan Zhuang\#, Chunhua Shen
+Zizheng Pan, Bohan Zhuang\#, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar
+
+[[Paper](https://openreview.net/forum?id=rnHqwPH4TZ)] 
+
+
+
+**2023**
+
+- **Efficient Stitchable Task Adaptation**
+
+**Haoyu He**, Zizheng Pan, Jing Liu, Jianfei Cai, Bohan Zhuang\#
+
+[[Paper](https://arxiv.org/abs/2311.17352)]
+
+
+
+- **LoRAPrune: Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning**
+
+**Mingyang Zhang**, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang
+
+[[Paper](https://arxiv.org/abs/2305.18403v3)]
 
-[[Paper](https://arxiv.org/abs/2310.12149)][[Project](https://github.com/aim-uofa/OIR)]
 
 
 - **SwitchGPT: Adapting Large Language Models for Non-Text Outputs**