diff --git a/dlinfer/graph/dicp/vendor/AtbGraph/conversion.py b/dlinfer/graph/dicp/vendor/AtbGraph/conversion.py
index 7f11d16b..92b6c1e6 100644
--- a/dlinfer/graph/dicp/vendor/AtbGraph/conversion.py
+++ b/dlinfer/graph/dicp/vendor/AtbGraph/conversion.py
@@ -95,7 +95,7 @@ def __init__(self, gm):
 
     @lru_cache
     def get_shared_zeros(self, size, dtype):
-        return self.get_proxy(atb_op.Zeros, (size, dtype))
+        return self.aten_zeros_default(size, dtype)
 
     def get_proxy(self, target, args, kwargs=immutable_dict()):
         proxy = super().get_proxy(target, args, kwargs)
@@ -791,11 +791,11 @@ def aten_new_empty(self, x, size, pin_memory=False):
     def aten_slice_scatter(self, x, data, dim=0, start=None, end=None, step=1):
         return self.get_proxy(atb_op.SliceScatter, (x, data, dim, start, end, step))
 
-    @register_conversion(torch.ops.dlinfer.dynamic_quant.default)
+    @register_conversion("torch.ops.dlinfer.dynamic_quant.default")
     def dlinfer_dynamic_quant(self, x, quant_dtype, quant_granularity):
         return self.get_proxy(atb_op.AclNnDynamicQuant, (x, quant_dtype))
 
-    @register_conversion(torch.ops.dlinfer.linear_w8a8.default)
+    @register_conversion("torch.ops.dlinfer.linear_w8a8.default")
     def dlinfer_linear_w8a8(
         self, x, y, rms_scale, linear_scale, out_type, quant_dtype, bias
     ):
@@ -840,7 +840,7 @@ def aten_topk(self, x, k, dim=-1, largest=True, sorted=True):
         assert largest == True
         return self.get_proxy(atb_op.Sort, (x, k))
 
-    @register_conversion(torch.ops.dlinfer.transdata.default)
+    @register_conversion("torch.ops.dlinfer.transdata.default")
     def dlinfer_transdata(self, x, transdata_type):
         return self.get_proxy(atb_op.Transdata, (x, transdata_type))